WEBVTT 00:00:03.215 --> 00:00:06.418 I think we can all pretty much agree 00:00:06.418 --> 00:00:09.934 that germs are really annoying. 00:00:11.063 --> 00:00:14.434 You can take my word for this because I'm kind of an expert. 00:00:14.434 --> 00:00:16.788 Not only because I work with viruses for a living, 00:00:16.788 --> 00:00:18.197 which I do, 00:00:18.197 --> 00:00:21.628 but mainly because I have two young sons at home. 00:00:21.628 --> 00:00:22.878 They're four and two, 00:00:22.878 --> 00:00:25.786 and I swear they are germ factories. 00:00:25.786 --> 00:00:28.985 It seems like every single week they are sick with something. 00:00:28.985 --> 00:00:31.137 They have some upper respiratory, 00:00:31.137 --> 00:00:33.240 lower respiratory, diarrhea, vomiting, 00:00:33.240 --> 00:00:35.939 you name it, they've been infected. 00:00:35.939 --> 00:00:39.790 What that means is I am constantly sick. 00:00:41.073 --> 00:00:43.948 So, yes, germs are a real big pain. 00:00:43.948 --> 00:00:46.196 But luckily if it's a bacterial infection 00:00:46.196 --> 00:00:49.183 you can treat it with antibiotics, 00:00:49.183 --> 00:00:50.662 but if it's a viral infection 00:00:50.662 --> 00:00:52.563 you just kind of wait it out, right? 00:00:52.563 --> 00:00:55.675 But luckily most of the infections are not that bad 00:00:55.675 --> 00:00:59.118 and my kids will cure them in a couple of weeks. 00:00:59.118 --> 00:01:01.694 But we also know that there are a lot of other viruses 00:01:01.694 --> 00:01:03.693 that lead to more significant problems. 00:01:03.693 --> 00:01:07.456 It can range from maybe having life-long cold sores 00:01:07.456 --> 00:01:12.331 to something more serious like debilitation or even death. 00:01:12.331 --> 00:01:15.169 So in general viruses are something 00:01:15.169 --> 00:01:17.264 I want to stay away from. 00:01:17.264 --> 00:01:19.713 They're nasty. 00:01:20.016 --> 00:01:22.338 But now let me introduce you to my mom. 00:01:22.338 --> 00:01:25.315 This picture was taken in December 2008. 00:01:25.315 --> 00:01:26.811 We were visiting my brother, 00:01:26.811 --> 00:01:28.557 who lived in Hawaii at that time. 00:01:28.557 --> 00:01:32.558 My mom loves golf, her family and warm weather. 00:01:33.198 --> 00:01:34.931 Probably in that order. 00:01:34.931 --> 00:01:38.262 So Hawaii is really her paradise. 00:01:38.442 --> 00:01:41.702 We had a really great time, it was really fun. 00:01:42.215 --> 00:01:45.195 Unfortunately, when I took this picture, 00:01:45.486 --> 00:01:48.263 I didn't realize that my mom's body 00:01:48.263 --> 00:01:51.159 was in the process of betraying her. NOTE Paragraph 00:01:51.159 --> 00:01:55.972 Because just six months later she was diagnosed with breast cancer. 00:01:56.289 --> 00:01:58.002 When she was diagnosed, 00:01:58.002 --> 00:01:59.887 I was pregnant with my first son. 00:01:59.887 --> 00:02:04.212 So it became this big emotionally confusing time for me. 00:02:04.212 --> 00:02:06.557 Because there I was, 00:02:06.557 --> 00:02:08.961 growing life in my body, 00:02:08.961 --> 00:02:10.783 and there she was, 00:02:10.783 --> 00:02:12.796 growing what could potentially 00:02:12.796 --> 00:02:14.822 be her death. 00:02:15.434 --> 00:02:17.873 And in addition, since I was pregnant, 00:02:17.873 --> 00:02:20.153 I was starting to appreciate 00:02:20.153 --> 00:02:21.980 the female breasts as something 00:02:21.980 --> 00:02:23.915 that provides sustenance, right? 00:02:23.915 --> 00:02:26.422 They're supposed to support life. 00:02:26.422 --> 00:02:31.535 But hers may ultimately be the source of her demise. 00:02:32.266 --> 00:02:35.227 So it was a very difficult time. 00:02:35.227 --> 00:02:37.805 In a couple months after her diagnosis, 00:02:37.805 --> 00:02:39.989 she started her cancer treatment. 00:02:39.989 --> 00:02:43.303 Chemo, surgery, radiation. 00:02:43.974 --> 00:02:46.366 It was a very difficult time. 00:02:46.366 --> 00:02:48.379 And all the things that you hear 00:02:48.379 --> 00:02:52.403 about cancer treatment, especially chemo being horrible, 00:02:52.403 --> 00:02:55.208 it's true, it is really horrible. 00:02:55.208 --> 00:02:57.697 And this is something that you will not appreciate 00:02:57.697 --> 00:03:01.606 unless you or someone you love goes through it. 00:03:01.814 --> 00:03:03.174 But we've made it. 00:03:03.174 --> 00:03:05.333 We made it through that long, intense year 00:03:05.333 --> 00:03:06.907 and at her cancer hospital 00:03:06.907 --> 00:03:09.229 there's this bell that they hung on the wall 00:03:09.229 --> 00:03:12.387 and at the end of the year you can go and ring that bell, 00:03:12.387 --> 00:03:15.500 telling everyone you're done with treatment, 00:03:15.500 --> 00:03:17.295 you're done with cancer. 00:03:17.295 --> 00:03:19.496 So we were very happy that day, 00:03:19.496 --> 00:03:21.403 but that happiness and that relief 00:03:21.403 --> 00:03:24.812 was extremely short-lived. 00:03:25.567 --> 00:03:27.823 And the worry starts to creep in. 00:03:27.823 --> 00:03:29.848 The source of that worry 00:03:29.848 --> 00:03:31.954 is because of this one word. 00:03:31.954 --> 00:03:33.868 This one word has so much power. 00:03:33.868 --> 00:03:35.874 Metastasis. 00:03:35.874 --> 00:03:37.661 Metastasis is where the cancer 00:03:37.661 --> 00:03:40.231 that originated in one part of the body 00:03:40.231 --> 00:03:43.118 spreads and moves to different parts of your body, 00:03:43.118 --> 00:03:46.417 to set up tumors elsewhere. 00:03:46.837 --> 00:03:49.921 According to the American Cancer Society, 00:03:49.921 --> 00:03:53.227 if the cancer cells are found just in your breasts, 00:03:53.227 --> 00:03:56.542 your 5-year relative survival rate is 99 percent. 00:03:56.542 --> 00:03:57.972 Which is great. 00:03:59.507 --> 00:04:01.554 But you can see that if cancer cells 00:04:01.554 --> 00:04:04.428 are found at distant metastatic sites, 00:04:04.428 --> 00:04:08.695 your survival rate drops to 24 percent. 00:04:09.906 --> 00:04:11.772 That is scary. 00:04:12.949 --> 00:04:15.903 Hence, we have one of the greatest challenges 00:04:15.903 --> 00:04:18.233 to modern medicine. 00:04:18.857 --> 00:04:21.812 Which is, how do we deliver these toxic drugs, 00:04:21.813 --> 00:04:24.019 these messages of death, if you will, 00:04:24.019 --> 00:04:26.450 just to those metastatic cancer cells? 00:04:26.450 --> 00:04:28.417 When we're talking about delivery, 00:04:28.417 --> 00:04:31.437 there are really two factors that you must consider. 00:04:31.437 --> 00:04:33.663 One is efficiency. 00:04:33.663 --> 00:04:36.582 How well can you get these drugs, these messages of death, 00:04:36.582 --> 00:04:38.242 just to the cancer cells, right? 00:04:38.242 --> 00:04:40.011 And the second is specificity. 00:04:40.011 --> 00:04:41.724 That's where you want those drugs 00:04:41.724 --> 00:04:43.878 delivered just to the cancer cells, 00:04:43.878 --> 00:04:45.510 those metastatic cancer cells, 00:04:45.510 --> 00:04:48.918 but leave all the other healthy tissues alone. 00:04:48.918 --> 00:04:52.521 And that will decrease those horrible side effects. 00:04:52.800 --> 00:04:55.251 The question is, how? 00:04:56.406 --> 00:05:00.235 In my work, the answer lies with the virus. 00:05:01.223 --> 00:05:05.337 Viruses are nature's nano-cell machines 00:05:05.337 --> 00:05:08.007 that have evolved to deliver genes, 00:05:08.007 --> 00:05:09.680 or deliver messages 00:05:09.680 --> 00:05:11.999 into those cells. 00:05:11.999 --> 00:05:14.709 They are incredibly good at their job. 00:05:14.709 --> 00:05:16.330 So what we're trying to do 00:05:16.330 --> 00:05:19.523 is engineer viruses to treat cancer. 00:05:21.962 --> 00:05:23.231 Let me introduce you now 00:05:23.231 --> 00:05:24.714 to the virus that we work on. 00:05:24.714 --> 00:05:27.400 It's called the adeno-associated virus, 00:05:27.400 --> 00:05:28.900 it's a very benign virus, 00:05:28.900 --> 00:05:31.368 it is not linked to any disease. 00:05:31.368 --> 00:05:33.967 Actually most of us, 80 to 90 percent of us 00:05:33.967 --> 00:05:35.084 sitting here today, 00:05:35.084 --> 00:05:37.728 we've already been infected by this virus. 00:05:38.541 --> 00:05:42.928 So I'm showing you here the outside shell of this virus. 00:05:42.928 --> 00:05:44.726 It is empty on the inside, 00:05:44.726 --> 00:05:47.658 so that it could carry a very small piece of DNA 00:05:47.658 --> 00:05:49.851 that encodes for that message 00:05:49.851 --> 00:05:53.634 that you would want to deliver to the cancer cells. 00:05:54.147 --> 00:05:58.322 And so when I look at images like this, of the virus, 00:05:58.924 --> 00:06:02.532 I am convinced that Mother Nature is an artist. 00:06:03.329 --> 00:06:07.148 Not only that, she is a proficient designer. 00:06:08.055 --> 00:06:11.519 The tight interlock between form and function 00:06:12.303 --> 00:06:15.013 is fundamental for design. 00:06:15.362 --> 00:06:18.578 This virus is only 25 nanometers in diameter, 00:06:19.417 --> 00:06:23.857 which is 4,000 times smaller than the width of your hair. 00:06:24.202 --> 00:06:26.742 So, in this tiny little package, 00:06:27.301 --> 00:06:30.017 Nature doesn't really have a lot of wiggle room NOTE Paragraph 00:06:30.017 --> 00:06:32.003 to include things that are not important 00:06:32.003 --> 00:06:34.054 for the ultimate function of the virus. 00:06:34.054 --> 00:06:36.572 Which is to infect cells. 00:06:37.446 --> 00:06:39.698 The other thing I want to point out 00:06:39.698 --> 00:06:42.794 is that viruses are old technology. 00:06:44.298 --> 00:06:47.641 I mean, it's really, really old technology. 00:06:48.140 --> 00:06:49.910 Billions of years. 00:06:49.910 --> 00:06:51.738 What we're trying to do 00:06:51.738 --> 00:06:53.585 is to simply piggy-back 00:06:53.585 --> 00:06:56.497 on Mother Nature's work. 00:06:56.761 --> 00:06:59.878 To program these viruses to kill cancer. 00:07:03.108 --> 00:07:05.682 Our over-arching strategy, in our lab, 00:07:05.682 --> 00:07:08.050 is to program synthetic algorithms 00:07:08.050 --> 00:07:09.827 into the virus structure, 00:07:09.827 --> 00:07:11.546 in order to train it to pick out 00:07:11.546 --> 00:07:14.669 those cancer cells and to destroy them. 00:07:15.830 --> 00:07:18.281 Now, it turns out, that you can already 00:07:18.281 --> 00:07:22.016 think of viruses as nanoscopic computers. 00:07:22.888 --> 00:07:25.321 They have evolved to detect 00:07:25.321 --> 00:07:26.919 biomolecular signals 00:07:26.919 --> 00:07:28.324 in their environment, 00:07:28.324 --> 00:07:29.931 which could include 00:07:29.931 --> 00:07:32.041 biomolecular cues in our bodies, 00:07:32.041 --> 00:07:34.985 in order to have productive infections 00:07:34.985 --> 00:07:38.561 that lead to self-replication ultimately. 00:07:40.088 --> 00:07:43.468 In every step of the virus infectious process 00:07:43.468 --> 00:07:46.512 the virus detects biomolecular signals 00:07:46.512 --> 00:07:48.723 that allow the virus to do the next step 00:07:48.723 --> 00:07:50.959 of that infection, 00:07:50.959 --> 00:07:52.649 and t's actually very fascinating, 00:07:52.649 --> 00:07:54.595 because it turns out that every 00:07:54.595 --> 00:07:58.109 biomolecular signal acts upon the capsid, 00:07:58.109 --> 00:08:01.529 changing it, sometimes just a little bit, 00:08:01.529 --> 00:08:04.281 and sometimes quite dramatically. 00:08:05.314 --> 00:08:06.901 So you can think of viruses 00:08:06.901 --> 00:08:10.192 as some of the most primitive shape-shifters. 00:08:12.419 --> 00:08:15.109 In our work, we're basically taking 00:08:15.109 --> 00:08:18.234 these intrinsic properties of viruses 00:08:18.234 --> 00:08:21.493 as inspiration and we want to re-write 00:08:21.493 --> 00:08:25.042 or re-program what the virus 00:08:25.042 --> 00:08:28.898 detects and computes as biomolecular input. 00:08:31.239 --> 00:08:32.680 Here are some of the viruses 00:08:32.680 --> 00:08:35.568 that we have re-programmed in the laboratory. NOTE Paragraph 00:08:35.568 --> 00:08:36.879 Just by looking at them, 00:08:36.879 --> 00:08:39.334 you actually won't be able to tell the difference 00:08:39.334 --> 00:08:40.762 between our engineered viruses 00:08:40.762 --> 00:08:43.574 and the ones that exist in Nature. 00:08:43.574 --> 00:08:45.347 But these are different. 00:08:45.347 --> 00:08:47.554 These have algorithms 00:08:47.554 --> 00:08:50.283 programmed into their structure 00:08:50.283 --> 00:08:53.546 that turns them into cancer-seeking assassins. 00:08:53.546 --> 00:08:55.737 Let me explain. 00:08:56.475 --> 00:08:57.573 The basic idea 00:08:57.573 --> 00:09:00.047 is that we want to create viruses that will be able 00:09:00.047 --> 00:09:01.610 to travel throughout the body 00:09:01.610 --> 00:09:03.702 in an inert fashion, 00:09:03.702 --> 00:09:06.645 or in a locked configuration, if you will. 00:09:06.645 --> 00:09:08.293 In this locked configuration 00:09:08.293 --> 00:09:10.530 the virus cannot deliver the message 00:09:10.530 --> 00:09:12.530 that it's carrying 00:09:12.530 --> 00:09:16.255 until it comes across some biomolecular cue, 00:09:16.255 --> 00:09:19.940 signal, represented by the key here, 00:09:19.940 --> 00:09:22.079 and that key will open up the capsid 00:09:22.079 --> 00:09:25.109 and now, in this open configuration, 00:09:25.109 --> 00:09:27.550 the virus can deliver that message 00:09:27.550 --> 00:09:30.114 to the cancer cells. 00:09:30.301 --> 00:09:32.382 The other way that I like to conceptualize 00:09:32.382 --> 00:09:34.266 our design strategy is thinking of it 00:09:34.266 --> 00:09:36.645 as if we were programming encryption 00:09:36.645 --> 00:09:38.715 into these viruses. 00:09:39.015 --> 00:09:41.441 So, the message cannot be read 00:09:41.441 --> 00:09:45.445 unless it is deciphered by the appropriate key. 00:09:47.594 --> 00:09:51.284 The next natural question is, what key? 00:09:52.300 --> 00:09:55.043 Luckily, advances in biomedical research 00:09:55.043 --> 00:09:58.007 has been answering that question for us. 00:09:58.007 --> 00:10:00.171 It turns out that if you look at tumor cells, 00:10:00.171 --> 00:10:02.601 tumor masses, there are a lot 00:10:02.601 --> 00:10:05.655 of biochemical signals, these cues, 00:10:05.655 --> 00:10:07.987 that are present at higher concentrations 00:10:07.987 --> 00:10:12.438 in the tumor, either outside of the cancer cells 00:10:12.438 --> 00:10:15.247 or within the cancer cells themselves. 00:10:15.247 --> 00:10:17.854 You can imagine all of these cues 00:10:17.854 --> 00:10:19.699 can act as the key 00:10:19.699 --> 00:10:22.450 that will open up our virus. 00:10:23.540 --> 00:10:25.590 This is a demonstration of how 00:10:25.590 --> 00:10:27.416 one of our devices work. 00:10:27.416 --> 00:10:29.496 In this black part, you don't see anything 00:10:29.496 --> 00:10:32.713 but there's an entire lawn of cells 00:10:33.159 --> 00:10:35.487 and onto this lawn we've added these viruses 00:10:35.487 --> 00:10:37.485 that we have in here, and in this case 00:10:37.485 --> 00:10:40.750 the virus is still in its locked state, 00:10:40.750 --> 00:10:42.854 its encrypted state, 00:10:42.854 --> 00:10:46.219 and as a demonstration this virus is delivering a message 00:10:46.219 --> 00:10:49.074 that, if read properly by that cell, 00:10:49.074 --> 00:10:50.925 would turn that cell green. 00:10:50.925 --> 00:10:53.534 It's a green message. 00:10:53.534 --> 00:10:56.280 You can see there's really not many cells 00:10:56.280 --> 00:10:59.039 that are able to read that green message. 00:10:59.039 --> 00:11:02.595 That's mainly because the virus is encrypted. 00:11:04.039 --> 00:11:07.078 Conversely, when the virus sees 00:11:07.788 --> 00:11:10.657 these biomolecular keys, 00:11:11.265 --> 00:11:13.303 the viruses open, 00:11:13.303 --> 00:11:14.938 that message is decyphered 00:11:14.938 --> 00:11:17.214 and these cells can now read 00:11:17.214 --> 00:11:20.147 these green messages. 00:11:21.769 --> 00:11:24.522 Let's go back to the schematic here. 00:11:24.522 --> 00:11:27.691 I told you that there's a lot of keys 00:11:28.059 --> 00:11:30.269 within the tumor mass, 00:11:30.269 --> 00:11:32.444 greater concentration in the tumor, 00:11:32.444 --> 00:11:35.485 but you may have noticed that there are also keys, 00:11:35.490 --> 00:11:38.226 present at lower concentrations, 00:11:38.226 --> 00:11:40.277 elsewhere in the body. 00:11:40.277 --> 00:11:42.514 And that represents some problem. 00:11:42.514 --> 00:11:46.529 That could lead to these non-targeted side effects, 00:11:46.529 --> 00:11:49.023 that you want to run away from. 00:11:49.023 --> 00:11:51.219 Our answer to this is trying 00:11:51.219 --> 00:11:54.971 to make these viruses open 00:11:54.971 --> 00:11:57.899 only when it detects two, 00:11:57.899 --> 00:12:00.506 both the red and the green. 00:12:00.506 --> 00:12:02.244 As shown here. 00:12:02.244 --> 00:12:04.162 And we have successfully generated 00:12:04.162 --> 00:12:07.045 one of these devices recently. 00:12:07.045 --> 00:12:09.109 Another way to think about this 00:12:09.109 --> 00:12:12.958 is to program an "AND" logic operator 00:12:12.958 --> 00:12:15.236 into this virus structure. 00:12:15.236 --> 00:12:18.991 I believe that the virus biotechnology community 00:12:18.991 --> 00:12:20.790 we are dreaming the same dream, 00:12:20.790 --> 00:12:22.970 we have the same vision. 00:12:22.970 --> 00:12:24.275 In the very near future, 00:12:24.275 --> 00:12:26.900 we want to be able to program viruses, 00:12:26.900 --> 00:12:30.169 real viruses, as we would computer programs. 00:12:30.169 --> 00:12:32.028 And we want this design process 00:12:32.028 --> 00:12:35.335 to be standardized, modular 00:12:35.335 --> 00:12:38.493 and lead to a predictable outcome. 00:12:40.761 --> 00:12:43.629 I leave you with a cliff-hanger. 00:12:44.030 --> 00:12:45.727 The big looming question is, 00:12:45.727 --> 00:12:49.102 how will these devices work in the human body? 00:12:50.511 --> 00:12:54.017 Will they actually do what we are proposing? 00:12:54.690 --> 00:12:57.880 We don't know the answers to these questions yet. 00:13:01.268 --> 00:13:04.103 But I work with a really great team, 00:13:04.687 --> 00:13:07.651 of very hard-working and passionate students 00:13:07.651 --> 00:13:09.613 on this research. 00:13:09.613 --> 00:13:11.664 So follow us and see our progress 00:13:11.664 --> 00:13:14.005 over the next several years. 00:13:14.005 --> 00:13:17.142 I invite you. Go viral with us. 00:13:17.848 --> 00:13:19.132 Thank you. 00:13:19.132 --> 00:13:21.379 (Applause)