-
(Narrator) When I look at this, and these
are 3 billion
-
chemical letters. Instructions for a human
-
being, my eyes glaze over,
-
(laughing)
-
but when scientist, Eric Lander looks at
-
this, he sees stories.
-
(Eric) The genome is a storybook
-
that's been edited for a couple billion
-
years, and you couldn't take it
-
to bed like a 1,001 Arabian nights and
-
read a different story in the genome
-
every night.
-
(Narrator) This is the story of one of
-
the greatest scientific adventures ever.
-
And at the heart of it, is a small, very
-
powerful molecule, DNA.
-
For the past ten years, scientists
-
all over the world have been painstakingly
-
trying to read the tiny instructions
-
buried inside our DNA.
-
And now, finally, the human genome has
-
been decoded.
-
(Craig) We're at the moment the scientists
-
wait for. This is what we wanted to do.
-
We're now examining
-
and interpreting the genetic code.
-
(Francis) This is the ultimate
-
imaginable thing that one could do,
-
scientifically, is to go look at our
-
own instruction book, and then try
-
to figure out what it's telling us.
-
(Narrator) What it's telling us is so
-
surprising, and so strange, and so
-
unexpected.
-
(Narrator) 50% of the genes in a banana
-
are in us.
(Eric) How different are you from a banana
-
I feel like I can say this with
-
some authority, very different
-
from a banana.
(Eric) You may feel different from a
-
banana.
-
All the machinery for replicating your
DNA, all the machinery for controlling
-
the cell-cycle, the cell surface, for
making nutrients, all that's the same.
-
(Narrator) So what does any of this
information have to do
-
with you, or me? Perhaps more than we
-
could possibly imagine.
-
Which one of us will get cancer, or
arthritis, or Alzheimer's.
-
Will there be cures? Will parents in the
future, be able to determine their
-
children's genetic destinies.
-
(Eric) We've opened the box here
-
that's got a huge amount of valuable
information.
-
It is the key to understanding disease
-
and, in the long run, to curing disease.
-
But having opened it... we're also gonna
-
be very uncomfortable with that info
-
for some time to come.
-
(Narrator) Yes, some of the info
-
you're about to see will make you
-
very uncomfortable, on the other hand,
some of it, I
-
think you will find amazing and hopeful.
-
I'm Robert Krulwich, and tonight, we will
-
not only report the latest discoveries of
-
the Human Genome Project, you will meet
-
the people who made those discoveries
-
possible, and who competed furiously to
-
be first to be done. And as you watch
-
our program on the human genome,
-
We will be raising a number of issues,
-
genes and privacy, genes and corporate
profits,
-
genes and the odd similarity between you
-
and yeast. And we'd like to have your
-
thoughts on all these subjects, so please,
-
if you will, login to Nova's website. It's
-
located at PBS.org. It'll be there
after the
-
broadcast, so do it after the
broadcast,
-
where you can take a survey,
the results will
-
be immediately available and continually
-
updated. We'll be right back.
-
♪ (Intro music playing) ♪
-
(Man) Major funding for Nova is provided
-
by the Park Foundation, dedicated
to education
-
and quality television.
-
(Man) This program is funded, in-part, by
-
the Northwestern Mutual Foundation.
-
Some people already know, Northwestern
Mutual can help plan
-
for your children's education.
-
Are you there yet?
-
Northwestern Mutual Financial Network.
-
(Woman) Scientific achievement is fueled
-
by the simple desire to make things clear.
-
Sprint PCS is proud to support Nova.
-
(Man) Major funding for this program is
-
provided by, "The National Science
Foundation."
-
- America's investment in the future.
-
(Man) And by the Corporation For Public
Broadcasting
-
and by contributions to your PBS station
-
from viewers like you.
-
Thank you.
-
(Narrator) To begin, let's go back
4-and-some billion years ago
-
to wherever it was that the first speck of
-
life appeared on Earth.
-
Maybe on the warm surface of a bubble.
-
That speck did something that's gone on,
uninterrupted ever since.
-
It wrote a message. It was a chemical
-
message, that it passed to its children
-
and passed it on to its children, and
-
to its children, and so on.
-
The message has passed from the very first
-
organism, all the way down through time,
to you and me.
-
Like a continuous thread, through all
-
living things.
-
It's more elaborate, now, of course, but
-
that message is, very simply, is the
-
secret of life.
-
And here is that message, contained in
-
this stunning little constellation of
-
chemicals, we call, "DNA".
-
You've seen it in this form, the classic
-
"Double Helix", but since we're gonna be
-
spending a lot of time talking about
-
DNA, I wondered what it looks like when
-
it's raw, ya know, in real life?
-
So, I asked an expert.
-
Eric Lander - DNA has a reputation for
-
being such a mystical, highfalutin sort of
-
molecule. All this information, your
-
future, your heredity, it's actually goop.
-
See, this here is DNA.
-
(Narrator) Professor Eric Lander is a
-
geneticist at MIT's Whitehead Institute.
-
(Eric) It's very very long strands of
-
molecules. These double helices of DNA,
which, when you get them all
-
together, just look like little threads
of cotton.
-
(Narrator) And these strands were
-
literally pulled from cells. Blood
cells, maybe skin cells, of a human being.
-
Eric - Whoever contributed this DNA,
-
you can tell from this whether or not they
-
might be at early risk for Alzheimer's
-
disease. You can tell if they might be at
-
early risk for breast cancer.
-
And there's probably about 2,000 other
-
things you can tell, that we don't know
-
how to tell yet, but we'll be able
-
to tell. And it's, really, incredibly
unlikely that you could tell
-
all that from this.
-
But, that's DNA for you.
-
That, apparently, is the secret of life,
-
just hanging off there on the tube.
-
(Narrator) And already, DNA has told
-
us things that no one, no one had
expected.
-
It turns out that human beings have only
-
twice as many genes as a fruit fly.
-
Now how can that be?
-
We are such complex and magnificent
creatures, and fruit flies, well, uh,
-
they're fruit flies.
-
DNA also tells us that we are more closely
related to worms and to yeast than
-
most of us would ever have imagined.
-
But how do you read what's inside a
molecule?
-
Well, if it's DNA, if you turn it so you
-
can look at from just the right angle,
-
you will see, in the middle, what
-
look like steps in a ladder.
-
Each step is made up of two chemicals,
-
"Cytosine" and "Guanine", or
"Thymine" and "Adenine".
-
They come, always, in pairs called,
"Base-Pairs" either C and G, or T and A,
-
for short.
-
This is, step-by-step, a code.
-
Three-billion steps long; the formula for
-
a human being.
-
We're all familiar with this thing.
-
This shape is very familiar.
-
(Eric) Double Helix.
(Narrator) Double Helix.
-
First of all, I want to... this is my
-
version of a DNA molecule.
-
Is this, by the way, what it looks like?
-
(Eric) Well, ehm, give or take... a
cartoon version of it.
-
I mean, a little like that, yeah.
-
(Narrator) So there are, in almost every
cell in your body, if you look deep
-
enough, you will find this chain here?
-
Eric - Oh, yes, stuck in the nucleus of
your cell.
-
Narrator - Now how small is this?
-
In a real DNA molecule, the distance
-
between the two walls is how wide?
-
Eric - Oh, golly.
-
(Narrator) Look at this, he's asking for
help.
-
(laughing)
-
Eric -This distance is about
10 Angstroms.
-
(Narrator) That's one-billionth of a meter
-
when it's clumped up in a very particular
way.
-
Eric - Well, no, it's curled up sort of
like that, but, it's more than that.
-
You can't curl it up too much, bc
these little negative charge things
-
will repel each other. So, you fold it on
itself.
-
I'm gonna break your molecule..
-
Narrator - Yeah, don't break my molecule.
-
Eric - Ya know, ya got this
and then it's folded up like this
-
and then those are folded up on top
-
of each other. And, so, in fact, if you
-
were to stretch out all of the DNA, it
-
would run, oh I don't know, thousands
-
and thousands of feet.
-
Narrator - Okay.
-
The main thing about this, is
-
the ladder, the steps of this ladder.
-
Narrator - If I knew it was "A" and "T"
and "C" and "C" and "G" and "G" and "A"...
-
Eric - Oh, no, it's not "'G' and 'G', it's
'G' and 'C'. It's the grammar...
-
Narrator - If I could read each of the
-
individual ladders, I might find the
-
picture of... what?
-
Eric - Of your children.
-
This is what you pass to your children.
-
Ya know, people have known for 2,000
years that your kids look a lot
-
like you. Well, it's because you must pass
-
them something... Some instructions that
-
give them the eyes they have and hair
-
they have, and the nose shape they do.
-
The only way you pass it to them is in
-
these sentences. That's it.
-
(Narrator) And to show you the true power
-
of this molecule, we're gonna start with
-
one atom, deep inside.
-
We pull back and see it form its "A"'s and
"T"'s and "C"'s and "G"'s and the
-
classic double spiral....
-
And then starts the mysterious process
-
that creates a healthy new baby.
-
♪ (music playing) ♪
-
And the interesting thing is that every
-
human baby, every baby born, is 99.9%
-
identical in it's genetic code to every
-
other baby.
-
So, the tiniest differences in our genes
-
can be hugely important.
-
Can contribute to differences in height,
-
physique, maybe even talents, aptitudes,
-
and it also explain what can break...
-
What can make us sick.
-
Cracking the code of those minuscule
-
differences in DNA, that influence health
-
and illness, is what the Human Genome
Project is all about.
-
Since 1990, scientists all over the world
-
in university and government labs have
-
been involved in a massive effort to read
-
all three-billion A's, T's, G's, and C's
-
of human DNA.
-
They predicted it would take, at least
-
15 years. That was partly because, in the
early days of the project,
-
a scientist could spend years, an entire
-
career, trying to readjust a handful of
-
letters in the human genome.
-
It took 10 years to find the one genetic
-
mistake that causes Cystic Fibrosis.
-
Another 10 years to find the gene for
-
Huntington's Disease.
-
15 years to find one of the genes that
-
increase the risk for breast cancer.
-
One letter at a time, painfully slowly,
-
frustratingly prone to mistakes, and
-
false leads.
-
We asked Robert Waterston, a pioneer in
-
mapping DNA, to show us the way it
-
used to be done.
-
(Robert) The original ladders for DNA
-
sequence, we actually read by putting a
-
little letter next to the band that we
-
were calling and then writing those
-
down on a piece of paper, or into the
-
computer after that.
-
Uh, it's horrendous.
-
(Narrator) And we haven't mentioned the
-
hardest part. This part here, magnified
50 thousand times, is an actual
-
clump of DNA Chromosome -17.
-
If you look inside, you find, of course,
-
hundred of millions of A's, and C's, and
T's, and G's, but it turns out
-
that only about 1% of them are active
-
and important. These are the genes
-
that scientists are searching for.
-
So, somewhere in this dense chemical
-
forest, are genes involved in deafness,
-
Alzheimer's, cancer, cataracts, but where?
-
This is such a maze, scientists need a
map.
-
But at the old pace, that would take close
-
to forever.
-
And then came the revolution.
-
In the last 10 years the entire process
-
has been computerized, that costed
-
hundreds of millions of dollars.
-
But now, instead of decoding only a few
-
hundred letters by hand in a day...
-
together, these machines can do 1,000
every second.
-
And that has made all the difference.
-
(Man) This is something that is gonna
-
go in the textbooks. Everybody knows
that.
-
Everybody, when the Genome Project was
-
being born, was consciously aware of their
-
role in history.
-
(Narrator) Getting the letters out is, has
been described as, finding the
-
blueprint of a human being, finding
-
the manual for a human being,
-
finding the code of a human being.
-
What's your metaphor?
-
Eric - Oh, golly gee. I mean, you can have
-
very highfalutin metaphors for this kind
-
of stuff. This is basically a parts list.
-
Blueprints and all these fancy names...
-
it's just a parts list.
-
It's just a parts list with a lot of
parts.
-
If you take an airplane, a Boeing 777,
-
I think it has like a hundred-thousand
-
parts. If I gave you a parts list for the
-
Boeing 777, in one sense you'd know a
-
lot. You'd know a hundred-thousand
-
components that have gotta be there.
-
Screws and wires and rudders and things
-
like that. On the other hand, I bet you
-
wouldn't know how to put it together and
-
I bet you wouldn't know why it flies.
-
Well, we're in the same boat... We now
-
have a parts list. That's what The Human
Genome Project is about.
-
It's about getting the parts list.
-
If you want to understand the plane,
-
you have to have the parts list, but
-
that's not enough to understand why
-
it flies. But, of course, you'd be crazy
-
not to start with the parts list.
-
And one reason it’s so important
to understand all those parts is
-
to decode every letter of the genome,
-
Is because sometimes out of 3 billion base
pairs in our DNA, just one single letter
-
can make a difference.
-
Alice and Tim Lord are parents of
two-year-old Hayden,
-
Alice – good morning
Tim – hey pumpkin
-
(Tim) – the two things that I think of the
most about Hayden, which a lot of people .
-
got from him right from the beginning
was that he was always very funny
-
Alice - Make your very very very serious
face. I love you
-
(Tim) – he loved to smile and laugh,
he used to guffaw this was later when he
-
was a year old he just found the funniest
things hilarious he and I would just crack
-
each other up.
-
(Narrator) Hayden seemed to be developing
normally but Allison began to notice
-
that some things were not quite right.
Allison – I was very anxious all the time
-
with Hayden. I was certain things were
not the same. I would see friends
-
changing the diaper of their child
that was around the same age
-
and see the physical movement
and the legs movement and
-
Hayden didn’t do that
-
♪ (Singing “Happy Birthday”) ♪
-
Narrator – Doctors told them that Hayden
was just developing a bit slowly, but
-
by the time he turned a year old, it was
clear that something serious was wrong.
-
he never crawled, he never talked,
never ate with his fingers,
-
and he seemed to be going backwards, not
progressing.
-
(Tim) – I remember the last time he laughed.
-
I took a trip with him out to buy a suit
to a wedding that night
-
and we came back and it was really windy,
he just loves to fill the wind,
-
so we had a great time. We came back and
I brought them up on the couch and sat
-
next to him and he just kind of threw his
head back and laughed.
-
Like, oh, what a fun trip! Ya, know...
-
It was the last time he was able to
laugh, it’s really hard.
-
(Narrator) – it turned out that Hayden
had Tay-Sachs disease. A genetic
-
condition that slowly destroys
a baby’s brain
-
(Kolodny) – What happens is a baby appears
normal at birth,
-
and over the course of the first year,
begins to miss developmental milestones.
-
So at six months a child should be turning
-
over but is unable to sit up, to stand, to
walk, to talk.
-
(Narrator) – Tay-Sachs disease begins at
one infinitesimal spot on the DNA ladder
-
if just one letter goes wrong, say this
cluster of atoms is a picture of that
-
letter. A mistake here can come
down to just four atoms, that’s it.
-
But since genes create proteins,
that error creates a problem
-
in this protein, which is supposed to
dissolve fat in the brain. And now
-
the protein doesn’t work, so fat
builds up, swells the brain, and
-
destroys critical brain cells. And
all of this is the result of one
-
bad letter in that baby’s DNA.
-
Kolodny – in most cases it’s a single
base change as we say, a letter
-
difference.
-
(Narrator) – One defective letter out
of 3 billion. And no way to fix it.
-
Tay-Sachs is a relentlessly progressive
disease. In the years since his
-
diagnosis Hayden has gone blind, can’t
eat solid food, it’s harder for him to
-
swallow, he can’t move on his own,
and he has seizures as many as 10
-
times a day.
-
Kolodny – for children with classical
Tay-Sachs disease, there is only one
-
outcome. Children die by age 5 to 7.
Sometimes even before age 5.
-
(Narrator) – as it happens, Tim has an
identical twin brother. When Hayden
-
was diagnosed, that brother, Charlie
went to New York to be with him.
-
Charlie’s wife Blythe had had been
Allison’s roommate in college and
-
her best friend.
-
Blythe – Charlie called me on the phone
and told me to Hayden had Tay-Sachs
-
and explained I went to the computer and
looked it up and then just couldn’t
-
believe what I read.
(Blythe and Taylor talking)
-
(Narrator) – Blythe and Charlie had a
three-year-old daughter Taylor and a
-
baby girl named Cameron. Cameron
was happy and healthy except for one
-
small thing.
Blythe – on the NTSAD website it talks
-
about that typically between six and
eight months is when the signs start
-
coming. But one of the early signs is
that they startle easily and Hayden
-
had always had a heavy startle
response. We noticed that Cameron
-
had a comparable startle response.
Not as severe, but absolutely not
-
like Taylor had had.
(Narrator) – as soon as she saw
-
that early warning sign on the Tay-Sachs
website, Blythe went to get herself and
-
Cameron tested.
(Charlie) – it was another week until we
-
got the final results on Cameron’s
bloodwork. And then the Tuesday before
-
Thanksgiving, we went into our
pediatrician’s office we had the results
-
that Blythe was a carrier and Cameron
had Tay-Sachs
-
Blythe – all I said was “I’m sorry.”
(Narrator) – Tay-Sachs is a very rare
-
disease that usually occurs in specific
groups, like Ashkenazi Jews, but even
-
then the baby must inherit the gene
from both parents. So even though
-
there is a Tay-Sachs test, the Lords had
no reason to think they would be a risk.
-
And yet incredibly all four of them, Tim
and Charlie and both their wives, were
-
carriers. That was an unbelievably bad
role of the genetic dice.
-
Tim – Charlie and I are incredibly close
and have been all our lives. And when I
-
think about him and Blythe having to go
through this it seems really cruel
-
Charlie – I had already geared myself up
to be my brother’s rock. And I couldn’t
-
imagine having to help him and go
through it myself voice breaks
-
(Narrator) – for families like the Lords
and for everybody, the Human Genome
-
Project offers the chance to find out
early if we’re at risk for all kinds of
-
diseases.
Tim Lord - I would like to see a really
-
aggressive push to develop a test for
hundreds of genetic diseases, so that
-
parents could be
informed before they start to have
-
children as to the dangers that faced
them. I think it’s within our grasp, now
-
that we’ve mapped the human genenome,
the information is there for people to
-
begin to sort through
Tim – (talking to Hayden), “all right
-
pumpkin”
(Tim) – they are horrible horrible
-
diseases. If there is any way you could
be tested for a whole host of them and
-
not have them
affect the child, I think it’s something
-
that we have to focus on
-
(Narrator) – Hayden Lord died a few months
before his third birthday.
-
Narrator - what makes this story
-
especially hard to bear is we now know
-
that a loss that huge, and it was a
-
catastrophe by any measure, started
-
with a single error, a few atoms across,
-
buried inside a cell. Now, if something
-
so small could trigger such an enormous
-
result, is a perspective that is
-
incredibly frightening.
-
Except, that now geneticists have figured
-
out how to see many of these tiny errors
-
before they become catastrophes.
-
When you think about that, that's an
-
extraordinary thing, to spot a catastrophe
-
when it's still an insignificant dot in a
cell.
-
Which is the promise of the Human Genome
Project.
-
It is first and foremost, an early warning
-
system for a host of diseases, which
-
will give, hopefully, parents, doctors,
and scientists an advantage
-
that we have never had before. When you
-
can see trouble coming way way before
-
it starts you have a chance to stop it
-
or treat it... eventually, you might cure
it.
-
(Narrator) And that's why, when Congress
-
created the Human Genome Project in
1990, the challenge was
-
to get a complete list of our A's, T's,
C's, and G's as quickly as possible.
-
So, the business of making tests,
-
medicines, and cures could begin.
-
They figured it would take about 15 years
-
to decode a human being, and at the time,
-
that seemed reasonable.
-
Until this man: scientist, entrepreneur,
-
and speed-boat enthusiast, Craig Venter,
-
decided that he could do it faster, much
faster.
-
(Craig) It's like sailing. Once you have
-
two sailboats on the water going
-
approximately the same direction,
-
they're racing. And science works very
-
much the same way. If you have two labs
-
Craig - remotely working on the same
thing,
-
one tries to get there faster, better, or
-
higher quality... something different,
in part, because our society
-
recognizes only "First Place".
-
(Narrator) Back in 1990, Vinter was one
-
of many government scientists
painstakingly decoding
-
proteins and genes, his focus was one
-
protein in the brain.
-
Vinter - I took 10 years to get the
protein, and it took a whole year
-
to get 1,000 letters of genetic code.
-
(Narrator) For Venter, that was way too
slow.
-
Narrator - So, you're sitting there
thinking there must be
-
a better way when you were gazing out
-
the window.
-
Vinter - There HAD to be a better way.
-
(Narrator) And that's when he learned that
-
someone had invented a new machine
that could identify C's and T's and A's
-
and G's with remarkable speed.
-
And Craig Venter just loves machines that
-
go fast.
-
Vinter - I immediately contacted the
-
company to see if I could get one of the
first machines.
-
(Narrator) - And here's how they work:
-
Human DNA is chopped by robots into tiny
-
pieces. These pieces are copied over and
-
over again in bacteria and then tagged
-
with colored dyes.
-
A laser bounces light off of each snip of
-
DNA and the colors that it sees represent
-
individual letters in the genetic code.
-
And these computers can do this 24 hours
-
a day, everyday.
-
Venter - See, now you can see clearly the
peaks.
-
So, there's just a blue on coming up so
-
that's a "C" coming up. You could read
-
this and you could write this all down.
-
(Narrator) So, blue, yellow, red, red,
yellow...
-
Venter - So, that's C, G, T, T, A.
-
(Narrator) And, somehow all these little
-
pieces have to be put together again in
the right order. Venter's dream was to
-
have hundreds of new machines at his
-
fingertips, so he quit is government job
-
and formed a company he called,
-
"Celera Genomics". "Celera", from the
-
Latin word, "Celerity", meaning, "Speed".
-
And this is what he built.
-
Narrator - Oh my Lord. And you know what's
-
interesting is there's almost nobody here.
-
Vinter - Yeah. It's all automated.
-
(Narrator) So, who is this guy and why's
-
he such a bulldog for speed?
-
Craig Venter grew up in California,
-
left high school and spent a year as a
-
surfing bum on the beach by day and
-
a stock-boy at Sears by night. He was
-
inevitably drafted, went to Vietnam with
-
the Navy. That's him way over there on
-
the left. He was eventually assigned to a
-
Naval Hospital in Denang during the
-
Tet Offensive, when the Americans were
-
taking very heavy casualties.
-
At 21, he was in the triage unit, where
-
they decide who will live, and who will
die.
-
When you're young and you
-
Narrator - see a lot of people die, and
-
they could all be you, do feel like you
-
sort of owe them cures, cures that they'll
-
never get? Or am I over-romanticizing...
-
Vinter - Well, the motivation's become
-
complex, but that's certainly apart of it.
-
Also, I think surviving the year there
was...
-
(emotional pause)
-
So, it puts things in perspective that
-
I think, if you're not in that situation,
-
you could never truly have that
perspective.
-
Narrator - So, you hear ticking?
-
Vinter - Yeah... but also, I feel, that
-
I've had this tremendous gift for all
-
these years since I got back in 1968, and
-
I wanted to make sure I did something
-
with it.
-
(Narrator) In the spring of 1998, Venter
-
announced that he and his company were
gonna
-
sequence all three billion letters of the
-
human genome in two years.
-
Remember, the government said it
-
was gonna take 15.
-
(Venter) There was a lot of arrogance
-
that went with that program
-
Vinter - they were gonna do it at their
-
pace, and a lot of the scientists, ya
know, if they were really
-
being honest with you, would tell you that
-
they planned to retire doing this program.
-
You know, that's not what we think is the
-
right way to do science, especially
-
science that affects so many peoples'
lives.
-
Robert - Craig's a high-testosterone male.
-
Who has, who loves to be an iconoclast,
right?
-
He loves rattling peoples' cages. And he's
-
done that consistently in the genome
project.
-
(Narrator) Craig Venter's announcement
-
that his team would finish the
-
entire genome in just two years,
galvanized everybody working
-
on the public project. Now, they were
-
scrambling to keep up.
-
Man - There are some limitations,
-
we don't think we can this thing to go
any faster at the moment without
-
throwing a lot more robotics at it.
The arm physically takes 20 seconds
-
to move...
-
(Narrator) Francis Collins, the head of
the Human Genome Project, was
-
determined that Celera was not gonna
beat his teams to the prize. He made a
-
dramatic decision to try to cut five full
years off of the original plan.
-
Eric - The okay way to do it...
-
(Francis) When the major genome
centers met, and agreed to go for broke
-
here, I don't think there was anybody in
-
the room that was very confident we could
-
do that. I mean, you could sit down with
-
a piece of paper, and make projections,
-
if everything went really well, that might
-
get you there, but there were so many ways
-
this could have just run completely
off the track.
-
(Narrator) At MIT, they decided to try to
-
scale up their effort 15-fold.
-
And that meant a major change in their
-
usual academic pace.
-
(Woman) We basically had a goal since
-
Woman - march to get to a plate emitted
operation from womb-to-tomb all the
-
way through.
-
(Narrator) In the fall of 1999,
representatives from the five
-
major labs come to check out Eric
Lander's operation.
-
All the big honchos in the Human
Genome Project are here.
-
Scientists from Washington University
-
in St. Louis, Baylor College of Medicine
-
in Texas, the Department of Energy,
-
she's from the Sanger Center in England.
-
If they want to finish the genome before
-
Craig Venter, these folks have to figure
-
out how to outfit their labs with a lot of
-
new, and fancy, and unfamiliar equipment,
-
and they've got to do it fast.
-
Woman - So, we'll have to run some kind
-
of a conduit...
-
(Narrator) At MIT, a different crate is
-
arriving almost daily.
-
Man - It's like Christmas, everyone
unwrap something.
-
(Narrator) Just like a bad Christmas
-
present, assembly is required, and the
-
instruction are, of course, not always
clear.
-
(Man) Oh no, the magnet-plates stick
to each other?
-
Man - This is about, plus or minus three
feet.
-
(laughing)
-
(Eric Landers) Since one's on the cutting-
edge, I guess that they always call
-
Eric - it the "bleeding edge", right?
Nothing,
-
really, is working as you would expect.
All the stuff we're doing will be working
-
perfectly as soon as we're ready to junk
it.
-
(Man) Right, right.
(Narrator) The MIT crew is particularly
-
excited about their brand-new,
-
$300,000, state-of-the-art, DNA purifying
machine.
-
Man - Alright, maiden voyage, it didn't
ask me for a password, that's good.
-
On it goes.
-
Other man - Got the yellow light right
away.
-
(Man) That's okay...
(Narrator) I don't think the blinking
-
light is a good sign...
-
(Man) Looks like we have an air leak
somewhere.
-
Uh oh, look at this.
-
(Man) It's cracked.
-
(Eric Landers) It's sort of like flying a
-
very large plane and repairing it while
-
you're flying. And you're trying to figure
-
out what went wrong.
-
And you also realize that you're spending
-
10's of thousands of dollars an hour,
-
so you feel under a little pressure
-
to sort of work this out as quickly as
you can.
-
(Narrator) So, he calls the customer
service line.
-
And of course, he's put on hold...
-
(music playing)
-
So, he waits...
-
And he waits...
-
And he waits...
-
Anyway, it turns out the the $300,000
-
machine does have one tiny little valve
-
that is broke, and so it doesn't work.
-
(Man) Alright...
-
(Eric) You never know whether the problem
-
is due to some robot, some funky bit of
biochemistry, some
-
chemical that you've got that isn't really
-
working. And, so, it's incredibly
complicated.
-
Woman - So, we have a transformation,
where we transform a tenth of
-
our ligation...
-
Man - And add SDS to lice the phage.
-
Man - And all of our thermo-cyclers are
three to four well plates.
-
(Man) So, if you basically determine your
-
Man - (inaudible scientific jargon ... and
-
give them each a different run module...
-
(Francis) Try to ramp something up...
anything that's the slightest bit
-
cloogey suddenly becomes a major
bottleneck.
-
Man - We talked about doing a full-out
-
test today and we weren't quite feeling
good about doing that yet, so...
-
(Francis) There was a considerable sense
-
of white knuckles, because here we made
-
this promise, we were on the record here
-
saying we were gonna do this.
-
And things weren't working, the machines
-
were breaking down.
-
Woman - This is like... November?
-
Francis - And it's gotta work now. The
time is running out.
-
Man - This is one of it's three inaugural
runs and
-
(Man) it seems to be flawless, so far.
-
(Narrator) It took awhile, but the
government teams finally hit
-
their stride.
-
(Francis) But the fall of that year was
-
really, sort of, the determining time.
-
The Center's really proved their mettle.
-
And every one of them began to catch
-
this rising curve, and ride it and we
began to see data
-
appearing at prodigious rates.
-
Man - Do all...
-
(Francis) By early 2000's, a thousand
-
base pairs-per-second were rolling out of
-
this combined enterprise, seven days a
week, 24 hours a day,
-
1,000 base pairs a second.
-
Then it really starts to go.
-
(Narrator) And those thousands of base
pairs poured out of
-
university labs directly onto the
internet.
-
(music playing)
-
(Narrator) Updated every night, it's
-
available for anyone, and everybody.
-
Including, by the way, the competition.
-
Man - Customers love our data...
-
(Narrator) Celera admits they got lots of
-
data directly from the government.
-
And Tony White, who runs the company
-
that owns Celera says, "Why not?"
-
Tony - That's publicly available data.
-
I'm a taxpayer, Celera's a taxpayer.
-
Ya know, why should we be excluded from
-
getting it? I mean, again, are they
creating it
-
to give to all mankind except Celera?
-
Is that the idea, it isn't about us
-
getting the data, it's about this
academic jealousy.
-
It's about the fact that our data, in
-
combination with theirs, give us a
-
perceived unfair advantage over this
-
so-called race.
-
Eric - If they wanna race us, that's
their business.
-
I suppose they may.
-
(Narrator) I suspect strongly that they
may.
-
Eric - Our job to get that data so that
everybody can go use it.
-
(Narrator) Since Celera was sequencing the
-
genome with private money, some critics
-
wondered why should the government put
-
so much cash into the exact same research?
-
(Eric) In the United States, we invested
in a National Highway system
-
in the 1950's. We got tremendous return
-
from building roads for free, and letting
-
everybody drive up and down them for
-
whatever purpose they wanted. We're
-
building a road up and down the
chromosomes... for free.
-
People can drive up and down those
-
chromosomes from whatever they need
-
to. They can make discoveries, they can
-
learn about medicine, they can learn
-
about history, whatever they want.
-
It is worth the public investment to
-
make those roads available.
-
(Narrator) Wait a second, what I really
-
want to know is if you're making a roadmap
-
of a human being, which human beings are
-
we mapping? I mean humans come in so many
-
varieties, so whose genes, exactly, are
-
we looking at?
-
Eric - Yeah, it's mostly a guy from
Buffalo and a woman from
-
Buffalo. That's because the laboratory--
-
Narrator - Whoa, whoa, wait... An
anonymous couple from
-
Buffalo?
-
Eric - No, they're not a couple. They've
-
never met. The laboratory was a
-
laboratory in Buffalo. So, they put an ad
-
in the Buffalo newspapers, and they got
-
random volunteers from Buffalo.
-
They got about 20 of them, and chose
-
at random the sample, and that sample,
-
and that sample, so nobody knows who
-
they are.
-
(Narrator) And what about Celera?
-
Whose DNA are they mapping?
-
They also got a bunch of volunteers,
-
around 20, and picked five lucky winners
-
Craig - We tried to have some diversity,
-
in terms of, if we had an African American
-
or somebody's self-proclaimed Chinese
-
history, two Caucasians, and a Hispanic.
-
So, some of the volunteers were here
-
on the staff...
-
Narrator - I have to ask, cause everybody
-
does, are you one of them?
-
Craig - I am one of the volunteers, yes.
-
Narrator - Do you know whether or
not you're one
-
of the winners?
-
I have a pretty good idea, yes, but I
-
can't disclose that, because it doesn't
-
matter.
-
Narrator - Well, if you're the head of
-
the company and you're watching the
decoding of muah. That has a little
-
Miss Piggy quality to it.
-
Craig - Well, any scientist that I know
-
would love to be looking at their own
-
genetic code. I mean, how could you not
-
want to in this field?
-
(Narrator) Well, I don't know, I don't
-
work in this field. But I do wonder, can
-
any small group, and could that guy
-
from Buffalo, could he really be a
stand-in
-
for all humankind?
-
Hasn't it been drummed into us since
-
birth that we're all... different? Each
-
and every one of us, completely unique.
-
We certainly look different.
-
People come in so many shapes, and
-
colors, and sizes... The DNA of these
-
humans has got to be significantly
-
different than the DNA of this human.
Right?
-
Eric - The genetic difference between any
-
two people is 1/10th of a percent.
-
Those two, and any people on this planet,
-
are 99.9% identical at the DNA level.
-
It's only one letter in a thousand
difference.
-
Narrator - And if I were to bring,
-
secretly into another room, a black man,
-
an Asian man, and a white man, and
-
show you only their genetic code,
-
could you tell which one was the white
one?
-
Eric - I could not.
-
What's going on? Well, it tells us that,
-
first, as a species, we are very very
-
closely related. Cause any two human
-
beings being 99.9% identical, means that
-
we are much more closely related than
-
any two chimpanzees in Africa.
-
(Narrator) Wait, wait, you mean if two
-
chimpanzees are swinging through the
-
forest, and you look at the genes of
-
chimp A, and you look at the genes
-
of chimp B...
-
Eric - Average difference between those
-
chimps, is 4 - 5 times more than the
-
average between two humans that you
-
could pluck off this planet.
-
(Narrator) Because we're such a young
species?
-
(Eric) That's right.
-
See, the thing is, we are the descendants
-
of a very small founding population.
-
Every human on this planet goes back
-
to a founding population of, perhaps,
-
10 or 20 thousand people in Africa.
-
About 100,000 years ago.
-
That little population didn't have a great
-
deal of genetic variation, and what
-
happened was, it was successful; it
-
multiplied all over the world, but in that
-
time, relatively little new genetic
-
variation is built up. So, we have today
-
on our planet, about the same genetic
-
variation that we walked out of Africa
-
with.
-
(Narrator) So, people are incredibly
-
similar to each other. But not only that,
-
it turns out that we also share many
-
genes with, well, everything.
-
50% of the genes of a banana are different
from us?
-
Eric - How different are you from a
banana?
-
Narrator - I feel, and I feel like can say
-
this with some authority, very different
-
from a banana.
-
Eric - You may feel different from -
Narrator - I eat a banana but I-
-
Eric - Look, you've got cells, you've
-
gotta make those cells divide. So, all
-
the machinery for replicating your DNA,
-
all the machinery for controlling the
-
cell-cycle, the cell's surface, for making
-
nutrients, all that's the same in you and
-
a banana.
-
(Eric) Deep down, the fundamental
mechanisms of
-
life were worked out only once on this
planet.
-
And they've gotten reused in every
organism.
-
The closer and closer you get to a
-
cell, the more you see a bag with
-
stuff in it and a nucleus and most of
-
those basic functions are the same.
-
Evolution doesn't go reinvent something
-
when it doesn't have to.
-
(music playing)
-
Take baker's yeast, baker's yeast, we're
-
related to one-and-a-half billion years
-
ago. But even even after one-and-a-half
-
billion years of evolutionary separation,
-
the parts are still interchangeable for
-
lots of these genes.
-
Narrator - Now, does that mean,
I want to understand,
-
does that mean when you look through
-
those things, that all the C's, A's, T's,
-
T's, and the G's, are you seeing the same
-
exact same letter sequences in the
-
exact same alignment? When you look at
-
the yeast and you look at the person, is
-
it the same?
-
Eric - Sometimes it's eerie. The gene
-
sequence is nearly identical. There are
-
some genes, like Ubiquitin, that's 97%
-
identical between humans and yeast,
-
even after a billion years of evolution.
-
Narrator - Well, with a name like that,|
it's gotta be...
-
Eric - Well, yeah, but you gotta
-
understand that deep down we are very
-
much partaking of that same bag of tricks
-
that evolution's been using to make
-
organisms all over this planet.
-
(Narrator) It seems incredible, but all
-
this information about evolution, about
-
our relationship to each other, and to all
-
living things, it's all right here in this
-
monotonous stream of letters. And as the
-
Human Genome Project progressed, and
-
hit high gear, the pace of discovery
-
quickened.
-
Once, they got fully automated, it wasn't
-
long until Lander, and Collins, and all
-
the other public project teams had reason
-
to celebrate.
-
Francis - I'm Francis Collins, the
-
Director of the National Human Genome
-
Research Institute, and we are happy to be
-
here together to have a party today.
-
(Narrator) By November of 1999, they had
-
reached a major milestone. In a five-way
-
award ceremony, hooked up by
-
satellite, the major university teams
-
announced they had finished a billion
-
base pairs of DNA. A third of the total
-
genome.
-
(corks popping)
-
(Eric) Have we got everybody?
-
Eric Lander - I would like to propose
-
a toast. A billion base pairs, all on the
-
public internet, available to anybody in
-
the world. It's an incredible achievement.
-
It hasn't been completely painless.
(laughing)
-
And, because, I know everybody in this
-
room is living and breathing and thinking
-
every single moment of the day about how
-
to make all this happen... how we can hit
-
full-scale. I want to be sure you realize
-
what a remarkable thing we pulled off.
-
I hope you also know that this is history.
-
Whatever else you do in your lives, you're
-
apart of history. We're apart of an
-
amazing effort on the part of the world to
-
produce. And it isn't gonna be like the
-
moon, where we just visit occasionally.
-
This is gonna be something that every
-
student, every doctor uses, everyday in
-
the next century, and the century after
-
that. It's something to tell your kids
-
about. Something to tell your
-
grand-kids about. It's something you
-
should all be tremendously proud of.
-
I'm tremendously proud of you.
-
A toast, to this remarkable group.
-
To the work we've done. To the work ahead.
-
Hear, hear.
-
Everyone - Hear, hear.
-
(Whistling)
-
(Narrator) Everybody here is hoping the
-
genome project will help cure disease.
-
And the sooner it's done, the better for
-
all of us.
-
(inaudible)
-
(Narrator) But there's something more than
-
idealism, more than even pride that's
-
driving this race to finish the genome.
-
And that's the knowledge that with every
-
day that passes, more and more pieces
-
of our genome are being turned into
-
private property by way of the U.S. Patent
Office.
-
(printing machine noises)
-
Woman - I said property.
-
(Narrrator) The office is inundated with
-
requests for patents for every imaginable
-
invention. From Star Wars action figures
-
to jet engines.
-
(paper shuffling sounds)
-
And here, along with all those gizmos, are
-
requests for patents for human genes.
-
Things that exist naturally in every one
-
of us. How is this possible?
-
(Todd) We regard genes as a patent-able
-
subject matter, as we regard almost any
-
chemical. We have issued patents on a
-
number of compounds and compositions
-
that are found in the human body.
-
For example, the gene that encodes insulin
-
has been patented, and that now has been
-
used to make almost all of the insulin
-
that is made. So, people's lives are being
-
saved today. Diabetics' lives are better.
-
As a matter of fact, if we ruled out every
chemical that's found in the human body
-
there'd be an awful lot of inventions that
would not be able to be protected.
-
(Narrator) Generally, to patent an
-
invention you've got to prove that it's
-
new and useful. But a few years ago
-
critics said that the patent office
-
wasn't being tough enough, so applicants
-
would say, "Well, here's a brand new
-
sequence of A's, C's, T's, and G's right
-
out of our machine's. That's new."
-
Now, "useful", wonder what they're gonna
-
be used for? Well, they were kind of vague
-
about use, says Eric Lander.
-
Eric - The sort of thing that people used
-
to do then was they would say that, "It
-
could be used as a probe to detect
itself."
-
It's a trivial use. I mean it's like
-
saying, "I could use this new protein as
-
packing peanuts to stuff in a box."
-
I mean, it's true-
Narrator - Well, wouldn't the patent
-
examiner say, "Well, that's not useful."
Eric - No, no, no, you see, you the patent
-
guidelines are very unclear. I don't
object to giving someone that limited time
-
of monopoly when they've really invented
a cure for a disease; some really
-
important therapy.
I do object to giving a monopoly when
-
somebody has simply described a couple
-
hundred letters of a gene, but has no idea
-
what use it could have in medicine...
-
cause what's happen is you've given away
that precious monopoly to someone who's
-
done just a little bit of work, and then
the people who come along and want to
-
do a lot of work to turn it into a
therapy, well... they've gotta go pay the
-
person who already owns it. I think it's
a bad deal for society.
-
(Narrator) It takes at least two years for
-
the patent office to process a single
-
application. So, right now, the patent
-
office says there are about 20,000 genetic
-
patents waiting for approval. All of them
-
are in limbo. This can cause problems for
-
drug companies who are trying to work
-
with genes to cure disease.
-
Narrator - I'm a company trying to do
-
work on this, this, and this rung of the
-
ladder.
Eric - Right
-
Narrator - Cause I think that I can maybe
-
develop a cure for cancer,
right here, for the sake
-
of arguing. But, of course, I have to
-
worry that somebody owns this space.
-
Eric - Oh, you have to worry a lot, that
-
this region here that you're working on
that might cure cancer, has already been
-
patented by somebody else. And that
patent filing is not public, and so you're
-
living with the shadow that all of your
-
work may go for naught.
-
Narrator - Because one day the phone
-
rings and says, "Sorry, you can't work
here. Get off my territory."
-
Eric - That's right.
Narrator - Or, you can work here, but I'm
-
gonna charge you $100,000 a week.
Or, you can work here and I'll charge you
-
a nickel, but I want 50% of whatever you
discover.
-
Eric - And the problem there is, it's even
worse, because many companies don't start
-
the work whenever there's a cloud over
-
who owns that. If there's uncertainty,
-
companies would rather be working
-
some place where they don't have
uncertainty.
-
And, therefore, I think, work doesn't get
-
done, because of the confusion over who
-
owns stuff.
-
(Narrator) Supporters of patents say they
-
are a crucial incentive for drug
companies.
-
Drug research is phenomenally expensive
-
but if a company can monopolize a big
-
discovery with a patent, it can make
-
hundreds of millions of dollars.
-
Research scientists suddenly find
-
themselves in an unfamiliar world, ruled
-
by big money.
-
(Sheldon) Every scientist that does
is research
-
now being looked upon as a generator of
-
wealth. Even if that person is not
-
interested in it. If they sequence some
-
DNA, that could be patent-able material.
-
So, whether the scientist likes it or not,
-
he or she becomes an entrepreneur just
-
by virtue of doing science.
-
(Narrator) Craig Venter is first a
scientist
-
but he has made the leap from academia
-
into the business world.
-
Narrator - Let me talk about the business
-
of this. Do you consider yourself a
-
business man?
-
Craig - No, in fact, I still, sort of
-
bristle at the term for some reason.
-
But my philosophy is, we would not get
medical
-
breakthroughs in this country, at all, if
-
it wasn't done in a business setting.
-
We would not have new therapies if we
-
didn't have a biotech and pharmaceutical
-
industry.
-
Narrator - But are they... if you bristle
-
at the word "businessman", that might be
-
because in some part of your soul, you may
-
think that the business of science and the
-
business of business are fundamentally
-
incompatible for one simple reason:
-
that the business has to sell something
-
and the science has to learn, or teach,
-
something.
-
Craig - I think I bristle at it because
-
it's used as an attack. It's used as a
-
criticism. In this case, if the science is
-
not spectacular, if the medicine is not
-
spectacular, there will be no profits.
-
(Narrator) Venter was given $300,000,000
-
to set up Celera, and his investors are
-
expecting something in return.
-
But how can they profit from the genome?
-
At the moment, the company is banking on
-
pure computer power.
-
This is Celera's master control.
-
24 hours a day, technicians monitor all
-
the company's major operations, including
-
the hundreds of sequencers that are
-
constantly decoding our genes.
-
And they oversee Celera's main source of
-
income: a massive website, where, for a
-
fee, you can explore several genomes,
-
including those of fruit flies, mice, and,
-
of course, humans. What all this
-
adds up to is something like a big
-
browser. A user-friendly interface between
-
you and your genes.
-
Tony White - Our business is to sell
-
products that enable research. That's
-
essentially what we do. So, we're used to
-
selling the picks and the shovels to the
-
miners. Tools to interpret the human
-
genome and other related species.
-
Or, merely more products along the
-
same genre, they just happen to be less
-
tangible than a machine.
-
(Narrator) So, Celera's business plan is
-
to gather information from all kinds of
-
creatures, put it together, and sell their
-
findings to drug companies, or
-
universities, or whomever. But it's the
-
selling part, selling scientific
-
information, that makes some scientists
-
very uncomfortable.
-
Todd - This is a big change in the ethos
-
of the scientific community, which is,
-
supposedly, it was built upon the idea of
-
community values of the free and open
-
exchange of information. The fundamental
-
idea that when you learn something, you
-
publish it immediately, you share it with
-
others. Science grows by this community
-
interest of shared knowledge.
-
Tony - I think, why doesn't Pfeiffer give
-
away their drugs? They could help a lot
-
more people if they didn't charge for
them.
-
Man - At what point is "free" really free?
-
(Narrator) Tony White has absolutely no
-
problem with making money from the human
genome.
-
Tony - I hope we have a legal monopoly on
-
the information. I hope the product is so
-
good, and so valuable to people, that they
-
feel that it's necessary to come through
-
us to get it.
-
Anybody who wants to can build all the
-
tools that we're gonna build. Whether or
-
not they will choose to is a different
-
matter.
-
Narrator - Which is the better business
to be in, do you think? The landlord
-
business? Or this, "You subscribe and
I'll give you some information about
-
anything you want business."
-
Eric - They're both lousy businesses.
(Narrator laughing) Lousy?
-
Eric- They're lousy businesses by
-
comparison with the real business:
Make drugs.
-
Actually make molecules that cure people.
-
Narrator - curing people is the whole
-
point, right? But if there is one thing
-
that the Human Genome Project has
-
taught us, is that finding cures is a
-
whole lot harder than simply reading
-
letters of DNA.
-
(Narrator) Take for example, the case of
-
little Riley Demoush.
-
(baby sounds)
-
At two months, Riley appears to be
-
a perfectly healthy baby boy, but he's
not.
-
When Riley was just 13 days old, Kathy
-
got the call that every parent dreads.
-
Kathy - The pediatrician called on a
-
Thursday evening, and he said, "I need
-
to talk to you about the baby."
-
He said, "Are you sitting down?"
-
I'm like, "Yeah." And that really suprised
-
me. And he said, "Are you holding the
-
baby." Because he didn't want me to drop
-
the baby, obviously.
-
And he said, "The tests came through, and
-
Riley tested positive to cystic fibrosis."
-
And I was in shock.
-
(Narrator) As Kathy and her husband
-
would soon learn, Cystic Fibrosis, "CF"
-
for short, attacks several organs of the
-
body, but especially the lungs.
-
It's victims suffer from chronic
-
respiratory infections, and half of all
-
CF patients die before the age of 30.
-
David Waltz - To think that we can still
-
be hopeful that their child will grow up
-
to have a normal, healthy, happy, and long
-
life. But at the present time, I don't
-
have any guarantees about that.
-
Kathy - Someone had asked me, "Are you
-
prepared to bury your son at such a young
-
age, whether it's four or 40?" And he was
-
seventeen days old when that happened
-
and I said, "I've had him for seventeen
-
days, and I wouldn't trade those seventeen
days."
-
(Narrator) Finding the genetic defect
-
that causes CF was big news back in 1989.
-
News woman - Medical researchers say
-
they have discovered the gene which is
-
responsible for Cystic Fibrosis; the most
-
common inherited fatal disease in this
country.
-
Robert Dresing - We're going to cure this
-
disease...
-
(Narrator) A lot of people expected the
-
cure to arrive any day... it didn't.
-
Francis Collins, now head of the gov's
-
Genome Project, led one of the teams that
-
discovered the CF gene.
-
Francis - We still have not seen this
-
disease cured or even particularly
-
benefitted by all of this wonderful
-
molecular biology. CF is still treated
-
pretty much the way it was 10 years ago,
-
but that is going to change.
-
(Narrator) The original hope was that
-
babies like Riley could be cured by gene
-
therapy. Medicine that would provide a
-
good working copy of a broken gene, but
-
attempts at gene therapy have hardly ever
-
worked. They remain highly controversial,
-
so if there's gonna be an effective
-
treatment for Riley, instead of fixing his
-
genes, we're gonna take a look -- and this
-
is new territory -- at his proteins.
-
Narrator - What do proteins do?
-
Venter - When you look at yourself in the
-
mirror, you don't see DNA, you don't see
-
RNA... you see proteins and the result of
-
protein-action. That's what we are
-
physically composed of.
-
Narrator - So it's not a Rodgers and
Hammerstein thing
-
where one guy does the tune and the other
-
guy does the lyrics, this is a case where
-
the genes create the proteins and the
-
proteins create us.
-
Craig - That's right, we are the
-
accumulation of our proteins and our
-
protein activities.
-
(Narrator) A protein starts out as a long
-
chain of different chemicals, amino acids.
-
But, unlike genes, proteins won't work in
-
a straight line.
-
Francis - Genes are effectively
one-dimensional.
-
If you write down the sequence of A,C,G,
and T,
-
that's kinda what you need to know about
-
that gene. But proteins are 3-dimensional.
-
They have to be, because we're
3-dimensional and
-
we're made of those proteins, otherwise
-
we'd all sort of be linear, unimaginably
-
weird creatures.
-
(Narrator) Here's part of the protein.
-
Think of them as tangles of ribbon.
-
They come in any number of different
-
shapes. They can look like this, or like
-
this, or like this. The varieties are
-
endless. But, when it's created, every
-
protein is told, "Here is your shape."
-
and that shape defines what it does,
-
tells all the other proteins what it does,
-
and that's how they recognize each other
-
when they hook up and do business.
-
In the protein world, your shape is your
-
destiny.
-
Francis - They have needs and reasons to
-
want to be snuggled up against each
-
other in a particular way. And actually,
-
a particular amino acid sequence will
-
almost always fold in a precise way.
-
Narrator - Should I think origami-like?
-
When you're stretching, folding, and--
-
Francis - It's elegant, very complicated,
-
and we still do not have the ability to
-
precisely predict how that's going to
-
work, but obviously it does work.
-
(Narrator) Except, of course, if something
-
does go wrong, and that's what happened
-
to baby Riley.
-
Riley has a tiny error in his DNA, just
-
three letters out of three billion are
-
missing, but because of that error he has
-
a faulty gene, and that faulty gene
-
creates a faulty or misshapen protein.
-
And just the slightest little changes in
-
shape and "Boom" the consequences are
-
huge, because it is now misshapen and
-
a key protein that is found in the lung
-
cells can't do it's job. So, let's take a
-
look at some real lung cells, we'll travel
-
in. This is the lining, or the membrane
-
of a lung cell, and here's how the protein
-
is supposed to work. The top of your
-
screen is the outside of a cell, the
-
bottom the inside of the cell, of course,
-
and our healthy protein is providing a,
-
kind of chute so that salt can enter and
-
leave the cell. Those little green bubbles
-
that's salt and. as you see here, the salt
-
is getting through. But if the protein is
-
not the right shape, then it's not allowed
-
into the membrane; it can't do its job.
-
And, without that protein, as you see here
-
salt gets trapped inside the cell and that
-
triggers a whole chain of reactions that
-
makes the cell surface sticky and covered
-
with thick mucus.
-
Woman - The first two positions that are
-
done sitting up are probably a little more
-
difficult to do...
-
(Narrator) The mucus has to be dislodged
-
physically. Riley's family is learning to
-
loosen the mucus that may develop in
-
his lungs and fight infections with
-
antibiotics.
-
(Woman) You sort of wanna do it with
-
a cupped hand.
-
(Father) Trying to get at the top of the
-
lungs?
Woman - Yep, you wanna be like right here-
-
(Narrator) But what the doctors and the
scientists would love to do is, if they
-
can't fix baby Riley's genes, then maybe
there's someway to treat Riley's misshapen
-
protein and restore the original shape.
-
Because if you could just get them shaped
-
right, the protein should become instantly
-
recognizable to other proteins and get
-
back to business.
-
But, look at these things. How would we
-
ever learn to properly fold wildly
-
multi-dimensional proteins? It may
-
be doable, but it won't be easy.
-
Eric Lander - The Genome Project was
-
a piece of cake compared to most other
-
things, because genetic information is
-
linear. It goes in a simple line up and
-
down the chromosome. Once you start
-
talking about the 3-dimensional shapes
-
into which protein change can fold, and
-
how they can stick to each other in many
-
different ways to do things. Or the ways
-
in which cells can interact, like wiring
-
up in your brain... you're not in a
-
one-dimensional problem anymore. You're
-
not in Kansas anymore.
-
(Narrator) As the scientists head into
-
the world of proteins, they're looking
-
very closely at patients like Tony Ramos.
-
Tony has cystic fibrosis, but it's not the
-
typical case. CF almost always develops in
-
early childhood. Tony didn't have any
-
symptoms until she was 15.
-
Tony - I started having a cough, and then
-
we kept thinking I was catching a lot of
-
colds and my step-mother thought,
-
"Well, that's not right." So, I started
-
going to doctors, trying to figure it out.
-
And went through a lot of tests because
I don't fit the profile. Tuberculosis,
-
walking pneumonia, ya know, test after
test.
-
(Narrator) At the time of diagnosis,
-
Tony's family was told she might not
-
survive beyond her twenty-first birthday.
-
She's now in her mid-forties. But her CF
-
is worsening. 2 or 3 times a year she does
-
have to be admitted to the hospital to
-
clean out her lungs.
-
Tony - Ya know, they were always doing
-
some little funky study to help the cause,
because we're not the normal, ya know
-
there's not a whole lot of us. I know that
-
they don't know why, and it's the big
-
question mark, and hopefully research
-
will keep going and figure it out.
-
(Narrator) Here's the question: Tony was
born with a mistake in the same gene as
-
baby Riley, and yet for some reason, when
-
Tony was a baby, she didn't get sick. Why?
-
And now that she is sick, she hasn't died.
-
Why? What does Tony have that the other
-
CF patients don't have?
-
Dr. Craig Gerrard believes the answer lies
-
in her genes; in her DNA.
-
Dr. Gerrard - Good morning.
Tony - Good morning.
-
Dr. Gerrard - So, do you think the change
in the antibiotics is helping you?
-
Tony - Yes, and I've dropped four pounds
-
overnight.
Dr. Gerrard - (laughing) That's a lot of
-
weight.
Tony - Yeah!
-
Dr. Gerrard - Okay, mind if I have a
listen?
-
(Dr. Gerrard) - No gene acts in isolation,
-
it is always acting as a part of a larger
-
picture. And therefore, the other genes,
-
which compensate.
-
(Narrator) Could it be that Tony has some
-
other genetic mutations, good mutations,
-
that are producing good proteins, that
-
kept her healthy for 15 years and are
-
keeping her alive right now?
-
(Dr. Gerrard) You sound a lot better than
you did when you came in. So, I think
-
you're on the mend. Okay, hang in there.
Tony - Thanks, bye.
-
Dr. Gerrard - In my opinion, there are
-
genes that are allowing her to have a
-
more beneficial course, if you will, than
-
another patient.
-
Woman - You sound good.
-
(Narrator) Dr. Gerrard is searching for
-
the special ingredient in Tony. If it
-
turns out she has one or two proteins that
-
are helping her, maybe we could bottle
-
them and use them to help all CF patients,
-
like little Riley.
-
(Woman) If there was ever an emergency,
and I didn't know how to do it, and I
-
couldn't get in touch with you--
(Narrator) No one can predict Riley's
-
future, or to what extent CF will affect
his life. But now that we are getting a
-
map of our genes, we'll be able to take
-
the next big step. Because, what genes
-
do, basically, is they make proteins.
-
Narrator - I get the sense that everybody
-
is getting out of the gene business, and
suddenly going into this new business
-
I hear about, called, "The Protein
Business."
-
There's even a new name, instead of
"The Genome" I'm hearing this other
-
name, "The Proteome".
Eric - The Proteome.
-
(Narrator) The Proteome.
Eric - Yes.
-
(Narrator) What is that?
Eric - Well, the genome is the collection
-
of all your genes and DNA. The proteome,
is the collection of all your proteins.
-
See, what's happening is, we're realizing
that if we wanted to understand life, we
-
had to start systematically at the bottom
-
and get all the building blocks. The first
-
building blocks are the DNA letters, from
-
them we can infer the genes. From the
-
genes we can infer the protein products
-
that they make, that do all the work of
-
the cell. Then we've gotta understand what
-
each of those proteins does, what its
-
shape is, how they interact with each
-
other, and how they make kind of circuits
-
and connections with each other. So,
-
in some sense, this is just the beginning
-
of a very comprehensive, systematic
-
program to understand all the components
-
and how they all connect with each other.
-
(Narrator) All the components and how they
-
connect. But how many components are
-
there? How many genes and how many
-
proteins do we have?
-
Eric - A real shock about the genome
-
sequence was that we have so many fewer
-
genes than we've been teaching our
-
students. The official textbook answer is
-
the human has a 100,000 genes. Everyone's
-
known that since the early 1980's, the
-
only problem is is it's not true. Turns
-
we only have 30,000 or so genes.
-
(Narrator) 30,000 genes, that's it? Not
-
everybody agrees with this number, but
-
that's about as many as a mouse. Even
a fruit-fly has 14,000 genes.
-
Eric - That's really bothersome to many
-
people that we only have about twice as
-
many genes as a fruit-fly, because we
-
really like to think of ourselves as a lot
-
more than twice as complex. Well, don't
-
you? I certainly like to think of myself
-
that way. And so, it raises two questions,
-
are we really more complex?
-
Narrator - You show me the fruit fly that
can compose like Mozart and then I'll--
-
Eric - Well, show me a human that can fly.
-
Right? So...
(Narrator) Ooo (laughing)
-
Eric - (laughing) We all have our talents,
right?
-
(Narrator) I suppose we do, but as it
-
happens, we have lots of genes that are
-
virtually identical in us and fruit flies.
-
But, happily, our genes seem to do more,
-
so, let's say that I am a fruit fly. One
of
-
my fruit fly genes may make one and two
-
slightly different proteins, but now I'm a
-
human and the very same gene in me
-
might make one, two, three, four different
-
proteins, and these four proteins could
-
combine and build even bigger and more
proteins.
-
Eric - It turns out, that the gene makes a
-
message, but the message can be spliced up
-
in different ways. And, so, a gene might
-
make three proteins or four proteins
-
and then that protein can get modified.
-
There could be other proteins that stick
-
some phosphate group on it or two
-
phosphates groups. And, in fact, all these
-
modifications to the proteins could make
-
them function differently. So, while you
-
might only have 30,000 genes, you could
-
have 100,000 distinct proteins, and when
-
you're done putting all of the different
modifications on them, there might be
-
a million of them.
(narrator clears throat)
-
Scary thought.
-
Narrator - So, starting with the same raw
-
ingredients, the fruit fly goes, "mmm,
spch, mmm, spch, mmm, spch."
-
but the human, by somehow or other, being
-
able to arrange all the parts in many
-
different ways, can produce melodies,
perhaps?
-
Eric - Yes, although we're not that good
-
at hearing the melodies yet. One of the
-
exciting things about reading the genome
sequence now, is we're getting a glimpse
-
at that complexity of the parts and how
-
it's a symphony, rather than a simple tune
-
but it's not that easy to just read
that sheet
-
music there and hear the symphony that's
-
coming out of it.
-
(Narrator) Okay, so it's not just the
number of genes, it's all the different
-
proteins they can make and the ways those
proteins interact, and to find out all of
-
those interactions and how they affect
-
health and disease, that's gonna keep
-
scientists very busy for the next few
-
decades. But, of course, before the
-
research can begin in earnest, they first
-
have to complete the parts list of all the
-
genes. And by the spring of 2000, both
-
sides, the public labs and Celera, they
-
were in hyper-drive. Each camp madly
-
trying to be first to reach the finish
line and get
-
all 3 billion letters.
-
(Gene Myers) The pace of things, and the
-
magnitude of things was really incredible.
-
I mean, I would remember coming in and
-
just having this gripping feeling in my
-
gut, just an intense, "Oh my God, am up to
this?"
-
Robert Cook-Degan - You know whoever has
-
this reference sequence to the human
-
genome out there in the world first...
-
they're going to be famous. They're gonna
-
be on the front page of The New York
Times,
-
and a lot more than that, for a long time.
-
And they're gonna be, ya know,
celebrities.
-
And, ya know, when that's going on, it's
-
not unreasonable that people are gonna
-
reach for that star and try to get there
-
before the other person.
-
(Tony White) I thought that the
really intense
-
Tony - competition of this world was
among business, where there is a profit
-
motive. I now find that we are pikers in
the business world, compared to the
-
academic competition that exists out
there.
-
And I'm beginning to understand why,
because their currency is publication.
-
Their currency is attribution. And their
-
next funding comes from their last
victory.
-
(Robert) I think we're all better off for
the fact that there is this competition.
-
What you want is a system that gets
-
people riled up and try to do something
-
faster, better, and cheaper than the next
guy.
-
(New Speaker, Male) The environment at
-
Celera was extremely intense and it
reminded me of finals week at Cal. Tech.
-
Man - And there's a tradition at Cal. Tech
-
that on the very first day of finals week,
-
the Ride of The Valkyries is played at
full blast.
-
And, so, I thought well, since every
-
week feels like it's finals week here, why
-
don't I play the ride and see what
happens?
-
So, we got a whole bunch of viking hats,
-
and we end up buying Nerf bows, because
-
we're Nordic Valkyrians. So, the next week
-
we're shooting each other, and we go,
-
"Ya know, there's something not right
about this." So, we decided the next week
-
that we would start doing raiding parties
and raid some of the other teams.
-
Unannounced to us, they had been preparing
themselves.
-
Man - Hey, you guys go to the back-stairs.
-
(Man) - They had little beanie caps, and
-
their own Nerf weapons and the war
started.
-
(shooting sounds)
(Ride of the Valkyries music playing)
-
(shooting sounds)
-
(laughing)
-
(shooting)
-
(Man) It's just a release. It's a way of
-
dealing with the pressure, I think.
-
(laughing)
(shooting)
-
(Man) We all ran like crazy for 5 or 10
-
minutes, and got a little physical
exercise.
-
And, had a few laughs and then we're
-
ready to really go after it.
(laughing)
-
(Narrator) The Wagner seems to be working.
-
Output at Celera continues at a relentless
-
pace. Venter insists that the urgency
-
stems not only from a desire to beat
-
the government project, but the firm
-
belief that what's coming out of these
-
machines, all the C's, T's, G's, and A's,
-
will have a profound impact on all our
lives.
-
(Venter) It's a new beginning in science.
-
And, until we get all that data, that
-
can't really take place.
Venter - I mean anyone who
-
has cancer, anybody who has a family
-
member with a serious disease, this data
-
and information offers some tremendous
-
hope that things could change in the
future.
-
Eric Lander - In the past, if you wanted
to explain Diabetes, you always had to
-
scratch your head and say, "Well, it might
be something else that we've never seen
-
before." But knowing that you have the
whole parts list, radically changes
-
biomedical research. Because you can't
wave hand and say it might be something
-
else. There is no "something else".
-
(Man) 1, 2, 3, 4, 5 C's in a row.
-
(Narrator) In the past,
Narrator - Finding genes that cause
-
disease was a painstakingly slow process,
-
but, with the completion of a list, it
-
should be much easier to make a direct
-
connection from disease to gene. But how?
-
Well, let's say I'm looking for a gene
-
that causes something, we'll make it
-
Male Pattern Baldness, how would I go
-
about that. Well, I'd want to get a bunch
-
of bald guys. So, here are three bald guys
-
and take their blood and look at their
-
DNA. Now, I'll take three guys with lots
-
of hair, and here's their DNA. And, what
-
if the bald guys all share a particular
-
spelling right here in this spot, which we
-
will call, "The Bald Spot", and at the
-
same spot, you notice the hairy guys have
-
a different spelling. So, is this the gene
-
that causes baldness? Maybe, but probably
-
not. This could be a coincidence. So, how
-
do I improve my chances of finding the
-
specific spelling difference that relates
-
to baldness? It would help if I knew that
-
the bald guys, and the hairy guys had
-
really similar DNA, except for the genes
-
I suspect may make them bald or hairy.
-
Where do I find guys who are very very
-
similar with a few exceptions? A family
-
right? If they were brothers, and fathers,
-
and sons, and cousins, for instance, who
-
share lots of genes...
-
(Narrator) So, let's say these three guys
are brothers. Astonishing similarities,
-
really, in the face, but notice that one
of them is hairy and two are bald.
-
Whatever is making this one different,
-
should stand out when you compare their
-
genes. And same for these guys. There's
-
a difference clearly in the photos, but
-
that difference may turn up in the genes.
-
Narrator - You can do the same thing for
any disease that you'd like. So, if I
-
could comb through the DNA of lots of
people who are related, and I find some
-
of them are sick and some of them are
healthy, I might have a much better
-
chance of figuring out which genes are
involved. But where do I do this?
-
(Narrator) Well, one place is a little
-
island nation in the North Atlantic,
-
Iceland. In many ways, Iceland is the
-
perfect place to look for genes that
-
cause diseases. It's got a tiny population
-
only about 280,000 people, and virtually
-
all of them are descended from the
-
original settlers: Vikings who came here
-
over 1,000 years ago.
-
(music playing)
-
(Kari) If you drive around this country,
-
you will have great difficulties finding
-
any evidence of a dynamic culture that
-
was here for all of these 1,100 years.
-
There are no great buildings, there are
-
no monuments.
-
(Narrator) But, one thing Iceland does
-
have is a fantastic written history,
-
including almost everybody's family tree.
-
And now, it's all in a giant database.
-
Just punch in a social security number and
-
there they are, all of your ancestors,
-
right back to the original Viking.
-
Thordur - So, what we have here is my
-
ancestor tree. I'm here at the bottom,
-
this is my father and mother. My
grandparents,
-
great-grandparents, and so on. We
-
can find an individual that was one of
-
the original settlers of Iceland. Here we
-
have, "Ketill Bjarnarson" called,
-
"Ketill "flatnefur", meaning he had a
-
flat nose. So, he may have broken it in
-
a fight or something. And we estimate
-
that he was born around the year 805.
-
(music playing)
-
(Narrator) Kari Stephanson is a Harvard
-
trained scientist who saw the potentional
-
gold mine that might be hidden in
-
Iceland's genetic history. He set up a
-
company called, "Decode Genetics" to
-
combine age-old family trees with
-
state-of-the-art DNA analysis and computer
-
technology, and systematically hunt down
-
the genes that cause disease.
-
Kari - Our idea was to try to bring
-
together as much data on healthcare
-
as possible. As much data on genetics
-
as possible, and the genealogy, and simply
-
use the information tools to help us to
-
discover new knowledge. To discover
-
new ways to diagnose, treat, prevent
diseases.
-
(Narrator) One of Decode's first projects
-
was to look for the genes that might
cause Osteoarthritis.
-
Ryn Hydr Magnus Dotre had the
-
debilitating disease most of her life.
-
Ryn - The first symptoms appeared when I
-
was 12, and by the age of 14 my knees
-
hurt very badly. No one really paid any
-
attention, that's just the way it was.
-
But, by the age of 39, I'd had enough, so
-
I went to a Doctor.
-
(Narrator) Mrs. Magnus was never alone in
-
her suffering, she is one of 17 children.
-
11 of them were so stricken with arthritis
-
that they had to have their hips replaced.
-
This was exactly the kind of family that
-
Decode was looking for. They got
-
Mrs. Magnus and other members of her
-
family to donate blood samples for DNA
-
analysis. And to find more of her
-
relatives, people she'd never met,
-
Decode just entered her social security
-
number into their giant database and there
-
they were. But which of these people have
-
Arthritis? To find out, Stephanson asked
-
the government of Iceland to give his
-
company exclusive access to the entire
-
country's medical records. In exchange,
-
Decode would pay a million dollars a year
-
plus a share of any profits. That way,
-
Decode could link everything in their
-
computers: DNA, health records, and
-
family trees.
-
Stephanson - This idea was probably more
-
debated than any other issue in the
-
history of the republic. On the eve of
-
that parliamentary vote, on the bill,
-
there was an opinion poll taken that
-
showed that 75% of those that took a
-
stand on the issue, supported the
-
passage of the bill, 25% were against it.
-
(Narrator) Among that 25% against were
-
most of Iceland's doctors.
-
(Tomas Zoega) I first thought that there
-
was something fundamentally wrong
-
in all of this. They do know everything
-
about you. Not only about your medical
-
history, about your medical past, but now
-
have your gene, the DNA. They know about
-
your future, about something about your
-
children, and something about your elders.
-
Bjorn Gundmarsson - We find ourselves
-
paralyzed, because there is really nothing
-
we can do. Because the one who takes the
-
responsibility is the management of the
-
Health Center. If they give away this
-
information from the medical records, they
-
get money. And everybody needs money.
-
Healthcare really needs money.
-
Narrator - So, what's really the problem
-
here? Well, let's take a hypothetical
example, I'm gonna make all this up. Let's
-
pretend these are medical records of an
average person, all we'll suppose that
-
right here I see a HIV test, and then over
here is medication for anxiety after what
-
appears to be a messy divorce, and over
-
here a parent who died of Alzheimer's.
-
Now, this is all stuff that could happen
-
to anybody, but do you want it all in
-
a central computer bank, and do you
-
want it linked in the same computer
-
to all of your relatives? And to your own
-
personal DNA file? And should anybody have
-
to go on a fishing expedition through
-
your medical history, and your DNA?
-
(Narrator) Well, it may frightening, but
-
it also might work. Decode claims it's
-
discovered several genes that may
-
contribute to Osteoarthritis. So, this
-
approach, combining family trees, medical
-
records, and DNA could lead to better
-
drugs, or to cures for a whole range of
-
diseases.
-
Stephanson - To have all of the data in
-
one place so you can use the modern
-
information equipment, to juxtapose the
-
pieces of data and hope that the pieces
-
fit. It's an absolutely fascinating
-
possibility.
-
(printing sounds)
-
(Narrator) Stephanson says no one's forced
-
to do this, and there are elaborate
privacy
-
protections in place. No names are used,
-
social security numbers are encoded. He
-
also argues that the DNA part of the
-
database is voluntary.
-
Stephanson - The healthcare database
only contains healthcare information.
-
We can cross reference it with DNA
-
information, but only from those
-
individuals who have been willing to give
-
us blood, allowing us to isolate DNA,
-
genotype it and cross referencing it with
-
the database. Only from those who have
-
deliberately taken that risk. It's not
-
imposed on anyone, and no one who is
-
scared of it, ya know who is really afraid
-
of it, should come and give us blood.
-
(Narrator) DNA databases are popping
-
up all over the world, including the US.
-
They all have rules for protecting privacy
-
but they still make ethicists nervous.
-
(George Annas) I like to use the analogy
of the DNA molecule to a "future diary".
-
There's a lot of information in the DNA
-
molecule. The reason I call it a "future
diary",
-
is because I think it's that private.
-
I don't think anybody should be able to
-
open up your future diary, except you.
-
(Narrator) One rather bleak vision of
-
where all of this could lead it presented
-
in the Hollywood film, "GATTACA".
-
This is a world where everybody's DNA,
-
everybody's future diary, is an open
-
book. Everyone who can afford to has
-
their children made to spec. But what
-
happens to the poor slob who's conceived
-
the old fashion way?
-
(Boy from GATTACA film) I'll never
-
understand what possessed my mother
to her faith in God's hands rather than
-
those of her local geneticists.
(baby crying)
-
Ten fingers, ten toes; that's all that
-
used to matter. Not now... now, only
-
seconds old, the exact time and cause of
(suction noise)
-
my death was already known.
-
(baby crying)
-
Nurse - Neurological condition: 60%
-
probability. ADD: 89% probability.
-
Heart disorder....: 99% probability.
-
Life expectancy: 30.2 years.
Father - 30 years...
-
(Narrator) 30.2 years. The nurse seems to
-
know precisely what is going to happen to
-
this baby, which is ridiculous, right?
-
Never happen. Or... is it possible that
-
one day we will be able to look, with
-
disturbing clarity, into our future?
-
10, 20, even 70 years ahead...
-
George - That is one possible future,
-
where this becomes so routine that, at
-
birth, everyone gets a profile that goes
-
right to their medical record, one copy
-
goes to the FBI, so we have an
identification
-
system for all possible crimes in the US.
-
One copy goes to your grade school,
-
to the high school, to the college, to the
-
employer, the military. Like a horrific
-
future, although, I have to say there are
-
many in the Biotech industry and the
-
medical professions that think that's
-
a terrific future.
-
(Narrator) In fact, a lot of the
technology
-
already exists now, today.
-
These guys in the funny suits are making
-
"gene chips". The little needles are
-
dropping tiny, nearly invisible, bits of
-
DNA onto glass slides. And where do the
-
DNA come from? From babies. Thousands
-
of them. Each chip can support 80,000 DNA
tests.
-
Mark Schena - So, a single chip, in
-
principle, will allow you to test, say,
-
1,000 babies for 80 different human
-
diseases. So, within a few minutes, you
-
can have a readout for thousands, or even
-
tens-of-thousands of babies in a single
experiment.
-
(Narrator) Already, babies are routinely
-
tested for a handful of diseases, but with
-
gene chips, everybody could be tested for
-
hundreds of conditions.
-
Mark - Knowing is great. Knowing early is
-
even better. And that's really what the
technology allows us to do.
-
(Narrator) Well, taking a test and knowing
-
is great for the baby, anybody really,
-
as long as there's something you can do
-
about it.
-
Narrator - But think about this, because
-
sometimes there may be a test, but it
-
might take 20 years, or 50 years, 50 years
-
to find a cure. So, you could take the
-
tests, and you could learn that there is
-
a disease coming your way, but you can't
-
do a thing about it. Do you still wanna
-
know? Or, you could take the test, but
-
the test won't say that you're going to
-
get the disease. It will simply say that
-
you may get a disease. And, as you know,
-
there is a big difference between
-
"you will" and "you may".
-
(women talking in distance)
-
(Narrator) Lisa Capos and Lori Segal are
-
sisters who shared the wrenching
-
experience of cancer in the family. Way
-
back, there was three sisters in 1979.
-
The youngest of the three, Melanie, was
-
diagnosed with ovarian cancer.
-
(Lisa) When my sister was diagnosed, my
-
response was disbelief. She was
-
Lisa - 30 years old, and I'd never known
-
anybody of that age to have ovarian
cancer.
-
(Narrator) Melanie fought her cancer
-
for four years, but died in 1983.
-
It seemed an isolated piece of bad luck,
-
but then, just about a year later, Lisa
-
discovered that she had breast cancer.
-
She was only 34, but the cancer hadn't
-
spread, so the long-term outlook seemed
-
optimistic.
-
Lisa - I actually had a radiation
-
therapist, who was, tops in the field.
-
Wrote many books on breast cancer, and
-
was very optimistic. And what I remember
-
him saying was that he and I would grow
-
old together.
-
(Narrator) And Lisa was fine for 12 years,
-
and then she found another lump in the
-
same breast.
-
Lisa - It was the worst fear come true.
-
The first time I could hold onto hope,
-
the second time nobody was talking
-
with me about living to be old.
-
(Narrator) When Lisa discovered her
-
second cancer in 1996, scientists were
-
just beginning to work out the link
-
between breast and ovarian cancers
-
that run in families.
-
Mary Claire King was one of the scientists
-
who discovered the changes, or mutations
-
in two specific genes make a woman's
-
risk of breast and ovarian cancer much
-
higher. The genes are called, "BRCA-1" and
-
"BRCA-2"
-
Mary - BRCA-1 and BRCA-2 are perfectly
-
healthy, normal genes that all of us have.
-
But in a few families, mutations in these
-
genes are inherited.
-
(Narrator) - So, in a normal gene, we're
-
gonna spell it out for you here, letter by
-
letter, this is the normal sequence
-
ending, "GTAGCAGT". Now, we're gonna make
-
a copy. Now, we're gonna lose two of the
-
letters, just two, and then see, watch
-
them shift over. You see that? This new
-
configuration is a mutation which can
-
often cause breast cancer.
-
Mary - In the United States and Western
-
Europe, and Canada, the risk of developing
-
breast cancer for women in the population
-
as a whole, is about 10% over the course
-
of her lifetime. With, of course, most of
-
that risk occurring later in her life.
-
For a woman with a mutation in BRCA-1 or
-
BRCA-2, the lifetime risk of breast cancer
-
is about 80%. It's very high.
-
(Narrator) Right around the time of Lisa's
-
second bout of breast cancer, a test for
-
BRCA mutations became available. Lisa and
-
her sister, Lori, decided to be tested.
-
(Lori) I do remember the day that I went
-
to find out the results.
-
Lori - Panic, terror. I mean, what was I
-
gonna find out? Talking about the blood
-
surging through your temples, I mean
-
I just remember sheer terror.
-
(Narrator) Turns out, Lori was fine, but
-
Lisa discovered that she does carry a
-
BRCA mutation. It is not easy waking
-
up every morning, wondering if today's
-
the day you may get sick.
-
(Doctor) Any questions about the results
-
from the biopsy from April?
-
Lisa - No questions about the results,
-
again it feels like often my life is
-
dodging bullets...
-
(Narrator) With the second cancer, Lisa
-
had her right breast completely removed.
-
And then another operation to take out her
-
ovaries.
-
(Nurse) Just make a tight fist until I'm
in.
-
(Narrator) She also has a high risk of
cancer in her left breast. BRCA mutations
-
are relatively rare, and only cause maybe
-
only 5 or 10% of all breast cancer.
-
But knowing that there's a BRCA mutation
-
in the family affects everybody.
-
(Man) The gene doesn't go away. The time
-
passed since the last cancer doesn't buy
-
you the safety.
-
Man - And, the consequences run through
-
the family. And, I suppose, that, for my
-
daughter, who yet has not shown any
-
significant impact of this. The knowledge
-
that there's a genetic component that she
-
can't deny. Will, I'm sure, color her life
-
in serious ways.
-
(Narrator) Lisa's son, Justin, is 21. Her
-
daughter, Alana is 18. There is a 50/50
-
chance that each of them has inherited
-
the BRCA mutation from Lisa. The only way
-
to know, would be to take a test.
-
And when should they do that? When is the
-
right time?
-
Alana - I actually never really thought
about it until biology this year, when my
-
teacher posed a hypothetical, supposedly,
question to people saying, "What would
-
you do? Can you imagine what you would
do if you were faced with a situation
-
where you knew that you might have this
disease that would be deadly, or cause
-
you to be sick? And you could do a test
-
to find out whether or not you had it."
-
And I was sitting there in class saying,
-
"Maybe it's not so hypothetical."
-
(Narrator) And then in her senior year of
highschool, Alana felt a lump in her own
-
breast.
-
(Alana) I did have the, "Oh, it can't be
happening to me. Not yet." kind of thing.
-
I mean, I have the reservation in the
-
back of my mind
Alana - that eventually it may very well
-
happen to me. And, if it does, I'll fight
-
it then. I'll deal with it then, but I
-
don't expect, or I definitely didn't
-
expect for this to be happening to me
-
when I was 17 years old.
-
(Narrator) Alana's lump was not cancer.
-
And for now, she doesn't want the test.
-
Because, if she knew that she had the bad
-
gene, she'd only have two options:
-
The choice of removing her breasts and
-
ovaries to try to reduce her risk. Or just
-
to be closely monitored, and wait.
-
Lisa - She's followed every year. Seems
-
a little young to, ya know, have her have
-
to face that. On the other hand, it also
-
feels like the belt-and-suspenders
-
technique, and we just have to do
-
everything we can do.
-
(Narrator) In the next 20 years, this
-
family's predicament will become more
and more common as more and more
-
genes are linked to more and more diseases
and more tests become available. But we
-
will all have to ask, "Do we want to
know?"
-
And, when we know, can we live with an
-
answer that says, "Maybe... but maybe
not?"
-
(Lisa) Driving home from work today, I was
-
tuned into public radio. And there was a
-
professor of astronomy talking about a
-
brand new telescope to look into the
-
galaxies. And they're calling it the
-
equivalent of The Human Genome Project.
-
And I was thinking, "Hmm, not quite the
-
equivalent of The Human Genome Project."
-
because it's without some of the ethical,
-
moral angst, real-people issues, where,
-
it's a bit of a roller-coaster ride
-
between, ya know, this is gonna hold
-
answers, and hope, and treatments,
-
and interventions, and cure versus - it's
-
not clear what this all means.
-
(Narrator) And if things aren't clear now,
-
what about the future when we may not
-
only cure disease but do so much more.
-
(Doctor) Your extracted eggs are, Marie,
-
have been fertilized with Antonio's sperm.
-
You have specified Hazel eyes, dark hair,
-
and fair skin. All that remains is to
-
select the most compatible candidate.
-
I've taken the liberty of eradicating any
-
potentially prejudicial condition.
Premature baldness, myopia, alcoholism,
-
obesity, and so...
Woman - We didn't want... I mean...
-
diseases, yes, but um..
Man - Right, we were just wondering
-
if, if it's good to just leave a few
-
things to chance.
Doctor - We want to give your child the
-
best possible start.
-
Keep in mind, this child is still you.
-
Simply the best of you. You could
-
conceive naturally a thousand times and
-
never get such a result.
-
(Francis) GATTACA really raised some
-
interesting points. The technology that's
-
being described there is, in fact, right
-
in front of us or almost in front of us.
-
Narrator - That seems to me almost
-
extremely likely to happen. Cause, what
-
parent wouldn't want.. ya know, to
-
introduce a child that wouldn't have,
-
at least, be where all the other kids
-
could be?
-
Francis - That's why this scenario is
chilling. It portrayed a society where
-
genetic determinism had basically run
-
wild. I think society, in general, has
-
smiled upon the use of genetics for
-
preventing terrible diseases. But, when
-
you begin to blur that boundary of making
-
your kids genetically different, in a way
-
that enhances their performance in some
-
way, that starts to make most of us
uneasy.
-
(Narrator) What if we lived in the world
-
of Star Trek Voyager? Talk about uneasy.
-
Actress - Computer, access Belana Toras'
-
medical file.
-
(Narrator) Lieutenant Toras is 50% human
-
and 50% Klingon.
Actress - Project a holographic image of
-
the baby.
(Narrator) She's also 100% pregnant.
-
Actress - Now extrapolate what the child's
-
facial features will look like at 12 years
old.
-
(Narrator) Like any caring parent, she
-
doesn't want her child to be teased. For
-
having a forehead that looks like... well,
-
like a tire tread.
Actress - Display the fetus genome.
-
Delete the following gene sequences.
(Narrator) But here's the twist...
-
She can do something about it.
-
Actress - Extrapolate what the child
-
would look like with those genetic
changes.
-
(Narrator) Hmm, she threw in some blonde
(music playing)
-
hair, too.
-
And is this limit? Or, could we go even
-
further?
Actress - Save changes.
-
Narrator - If you can eventually isolate
-
all of these things, can you then build a
-
creature that has never existed before?
-
For example, I would like the eyesight of
-
a hawk. And I'd like the hearing of a dog.
-
Otherwise, I'm quite content exactly how
-
I am. So, could I pluck the eyesight and
-
the hearing and patch it in?
-
Eric - Well, we don't know. We really
-
don't know how that engineering occurs
-
and how we can improve on it. It'd be
-
very much like getting a pile of parts to
-
a Boeing 777, and a whole pile of parts
-
to an Airbus, and saying, "Well, I'm gonna
-
mix and match some of these, so it'll
-
have some of the properties... I'll make
it a little fatter, but I also wanna make
-
it a little shorter." By the time you were
done, you'd think you'd made lots of
-
clever improvements, but the thing
wouldn't get off the ground. It's a very
-
complex machine, and going in with a
-
monkey wrench to change a piece, odds
-
are, most changes we would make today,
-
almost ALL changes we'd make today would
break the machine.
-
(Narrator) We may not be able to
genetically modify humans or klingons,
-
yet. But we do do it to plants and animals
-
everyday. Look at this stuff, tobacco
-
plants with a gene from a firefly. And
-
they use that same insect gene to create
-
glowing mice.
-
Narrator - So, it's theoretically possible
-
that we could create humans with other
-
advantages that borrowed from other
-
creatures?
Eric - That's right, but the humility of
-
science right now is to appreciate how
little we know about how you could
-
even begin to go about that. That is the
-
difference between 20th century and
-
21st century biology, is, it's now our job
-
in this century to figure out how the
-
parts fit together.
(music playing)
-
(Narrator) And just as the 20th century
-
was winding down, the race to finish the
-
genome was full throttle. The competitive
-
juices were flowing.
-
Venter - I am competitive, but, when the
-
social order doesn't allow you to make
-
progress, and it doesn't for most people,
-
I said, "To hell with the social order,
-
I'll find a new way to do it."
-
(Tony White) It changed the paradigm on
-
people, and people don't like that.
-
Tony - It was very offensive to these
-
people. "How dare they?" Ya know,
-
rain on our parade, this is our turf.
-
Eric - This was a challenge to the whole
idea of public generation of data. That's
-
what offended people, was that we really
-
felt deeply that these were data that had
-
to be available for everybody. And there
-
was an attempt to claim the public
-
imagination for the proposition that
-
these data were better done in some
-
private fashion and owned.
-
Tony - You wanna say, "Well, wait a
minute. Ya know, if you could do it in
-
two years, why weren't ya doing it in
two years? Why do we have to come
-
along to turn a 15 year project into a
two year project?"
-
Eric - I must say that The Human Genome
Project had a tremendous amount of
-
internal competition, even amongst the
academic groups. There's competition
-
amongst academic scientists, to be sure.
-
And more than anything, there's
-
competition against disease. There's a
-
strong sense that what we're trying
-
to find out is the most important
-
information that you could possibly get.
-
Tony - I don't know, I mean, I hope that
this will all go away.
-
(Narrator) In June of 2000, it kind of did
-
go away.
(orchestral music playing)
-
The contentious race to finish the genome
-
came to an end.
(Announcer) Ladies and gentlemen, the
-
President of the United States.
-
(Narrator) And the winner was...
-
Well, you probably heard, they decided
-
to call it a tie.
-
(Francis) I think both Craig and I were
-
really tired of the way in which the
-
representations had played out and wanted
-
to see that sort of put behind us. It was
-
probably not good for Celera, as a
-
business to have this image of being
-
sort of always in contention with the
-
public project. It certainly wasn't good
-
for the public project to be seen as
-
battling with the private sector
enterprise.
-
(Narrator) President Clinton, himself,
-
got the public guys and the Celera guys
-
to play nice, shake hands, and share
-
credit for sequencing the genome.
(clapping)
-
President Clinton - Nearly two centuries
-
ago, in this room, on this floor, Thomas
-
Jefferson and a trusted aid spread out a
-
magnificent map. The aid was Merryweather
-
Louis and the map was the product of his
-
courageous expedition across the American
-
frontier, all the way to the Pacific.
-
Today, the world is joining us here in the
-
East Room, to behold a map of even greater
-
significance. We are here to celebrate the
-
completion of the first survey of the
-
entire human genome. Without a doubt,
-
this is the most important, most
-
wondrous map ever produced by humankind.
-
(Narrator) And what does this map the
-
President is talking about, what does it
-
look like?
-
Narrator - When we look across the
-
landscape of our DNA for the 30,000 genes
-
that make up a human-being, what do we
-
see?
-
Eric - The genome is very lumpy.
Narrator - Very lumpy?
-
Eric - Very lumpy, very uneven. You might
-
think if we have 30,000 genes they're
-
distributed kind of uniformly across the
-
chromosomes. Not so.
-
(music playing)
-
(Eric) They're distributed like people are
-
distributed in America. They're all
-
bunched up in some places, and then you
-
have vast plains that don't have a lot of
-
people in them.
(car horn honking)
-
It's like that with the genes.
-
(music playing)
-
(Eric) There are really gene-dense regions
-
that might have 15 times the density of
-
genes. Sort of a New York City over here.
-
(music playing)
-
(Eric) And there are other regions that
-
might go for two-million letters, and
-
there's not a gene to be found in there.
-
Eric - The remarkable thing about our
-
genome, is how little "gene" there is
-
in it. We have three billion letters of
-
DNA, but only 1 to 1.5% of it is gene.
-
Narrator - 1.5%?
-
Eric - The rest of it, 99% of it, is
stuff.
-
Narrator - Stuff? This is the technical
term?
-
Eric - A technical term. More than half
-
of your total DNA is not really yours. It
-
consists of selfish DNA elements that
-
somehow got into our genomes about
-
a billion-and-a-half years ago, and have
-
been hopping around making copies of
-
themselves. To those selfish DNA elements,
-
we're merely a host for them.
Narrator - Wait a second...
-
Eric - They view the human being just as a
-
vehicle for transmitting themselves.
Narrator - Wait, wait, wait...
-
We have, in each and every one of our
cells that carry DNA, we have these
-
little... they're not beings, they're just
-
hitchhikers...
Eric - Yeah.
-
Hitchhiking hunks of DNA.
-
Narrator - And they've been in us for how
long?
-
Eric - About a billion or a half years
or so.
-
Narrator - And all they've done, as far as
you can say, is stay there and multiply?
-
Eric - Well, they move around.
-
Narrator - And what is that? What do
-
you call that? I mean, it's not an animal,
-
it's not a vegetable. It's just...
-
Eric - It's a gene that knows how to look
-
out for itself and nothing else.
-
Narrator - And it's just riding around
in us?
-
The majority of our genome is this stuff,
-
not us.
Narrator - Wow.
-
(music playing)
-
(Narrator) It is a little humbling to
-
think that we, the paragon of animals,
-
the architects of great civilizations,
-
are used as taxi cabs by a bunch of
-
freeloading parasites who could care
-
less about us, but, that's the mystery of
-
it all.
(lightning)
-
(music playing)
-
(Eric) - You come away from reading the
-
genome, recognizing that we are so
-
similar to every other living thing on
-
this planet.
-
(music playing)
-
(birds chirping)
-
(Eric) And every innovation in us... we
-
didn't really invent it. These were all
-
things inherited from our ancestors.
-
(music playing)
-
(Eric) This gives you a tremendous
-
respect for life. It gives you a respect
-
for the complexity of life, the innovation
-
of life. And the tremendous connectivity
-
amongst all life on the planet.
-
(music playing)
-
(Narrator) We are, in a very real sense,
-
ordinary creatures. Our parts are
-
interchangeable with all the other
-
animals, and even the plants around us.
-
And yet, we know that there's something
-
about us that is truly extraordinary.
-
What it is, we don't know, but what it
-
does is, it let's us ask questions and
-
investigate, and contemplate the
-
messages buried in a molecule shaped
-
like a twisted staircase. That's what we,
-
and maybe we alone, can do. We can wonder.
-
(music playing)
-
(Narrator) This program raises many
-
difficult questions, and we do want to
-
know what you think. So, please logon
-
to Nova's website and take our survey.
-
Also, you can see how scientists pinpoint
-
a gene, find out how sequencing works,
-
and more at PBS.org or AmericaOnline,
-
keyword: PBS.
-
(music playing)
-
(music playing)
-
(Announcer) To order this show or any
-
other Nova program for $19.95 plus
-
shipping and handling, call WGBH Boston
-
Video at 1-800-255-9424.
-
By inserting just one gene, our food can
-
grow bigger, resist disease, and feed the
world.
-
(Man) This is a mass genetic
-
experiment that's going on in our diet.
-
(Announcer) Harvest of Fear, a NOVA
-
frontline special report.
-
(music playing)
-
(Announcer) NOVA is a production of WGBH
Boston.
-
(music playing)
-
(Announcer) Major funding for NOVA is
-
provided by the Park Foundation.
-
Dedicated to education and quality
-
television.
-
(Female Announcer) Scientific achievement
-
is fueled by the simple desire to make
-
things clear. Sprint PCS is proud to
-
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-
(Male Announcer) This program is funded
-
in part by the Northwestern Mutual
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-
Some people already know, Northwestern
-
Mutual can help plan for your children's
-
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-
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-
(Announcer) Major funding for this program
-
is provided by the National Science
Foundation,
-
America's investment in the future.
-
And by, the Corporation for Public
Broadcasting,
-
and by contributions to your PBS station
-
by viewers like you. Thank you.
-
(music playing)
-
(Announcer) This is PBS.