0:00:02.417,0:00:03.684 I live in Utah, 0:00:03.708,0:00:06.559 a place known for having[br]some of the most awe-inspiring 0:00:06.583,0:00:09.143 natural landscapes on this planet. 0:00:09.167,0:00:12.643 It's easy to be overwhelmed[br]by these amazing views, 0:00:12.667,0:00:16.518 and to be really fascinated by these[br]sometimes alien-looking formations. 0:00:16.542,0:00:20.184 As a scientist, I love[br]observing the natural world. 0:00:20.208,0:00:21.976 But as a cell biologist, 0:00:22.000,0:00:24.809 I'm much more interested[br]in understanding the natural world 0:00:24.833,0:00:27.042 at a much, much smaller scale. 0:00:27.917,0:00:30.726 I'm a molecular animator,[br]and I work with other researchers 0:00:30.750,0:00:33.643 to create visualizations[br]of molecules that are so small, 0:00:33.667,0:00:35.268 they're essentially invisible. 0:00:35.292,0:00:38.143 These molecules are smaller[br]than the wavelength of light, 0:00:38.167,0:00:40.406 which means that we can[br]never see them directly, 0:00:40.430,0:00:42.476 even with the best light microscopes. 0:00:42.500,0:00:44.643 So how do I create[br]visualizations of things 0:00:44.667,0:00:46.643 that are so small we can't see them? 0:00:46.667,0:00:48.809 Scientists, like my collaborators, 0:00:48.833,0:00:50.934 can spend their entire[br]professional careers 0:00:50.958,0:00:53.518 working to understand[br]one molecular process. 0:00:53.542,0:00:56.018 To do this, they carry out[br]a series of experiments 0:00:56.042,0:00:59.143 that each can tell us[br]a small piece of the puzzle. 0:00:59.167,0:01:01.934 One kind of experiment[br]can tell us about the protein shape, 0:01:01.958,0:01:03.226 while another can tell us 0:01:03.250,0:01:05.536 about what other proteins[br]it might interact with, 0:01:05.560,0:01:08.465 and another can tell us[br]about where it can be found in a cell. 0:01:08.489,0:01:12.476 And all of these bits of information[br]can be used to come up with a hypothesis, 0:01:12.500,0:01:15.583 a story, essentially,[br]of how a molecule might work. 0:01:17.000,0:01:20.934 My job is to take these ideas[br]and turn them into an animation. 0:01:20.958,0:01:22.226 This can be tricky, 0:01:22.250,0:01:25.476 because it turns out that molecules[br]can do some pretty crazy things. 0:01:25.500,0:01:28.851 But these animations[br]can be incredibly useful for researchers 0:01:28.875,0:01:31.976 to communicate their ideas[br]of how these molecules work. 0:01:32.000,0:01:34.768 They can also allow us[br]to see the molecular world 0:01:34.792,0:01:36.351 through their eyes. 0:01:36.375,0:01:38.309 I'd like to show you some animations, 0:01:38.333,0:01:41.851 a brief tour of what I consider to be[br]some of the natural wonders 0:01:41.875,0:01:43.559 of the molecular world. 0:01:43.583,0:01:45.559 First off, this is an immune cell. 0:01:45.583,0:01:48.476 These kinds of cells need to go[br]crawling around in our bodies 0:01:48.500,0:01:51.518 in order to find invaders[br]like pathogenic bacteria. 0:01:51.542,0:01:54.643 This movement is powered[br]by one of my favorite proteins 0:01:54.667,0:01:55.934 called actin, 0:01:55.958,0:01:58.434 which is part of what's known[br]as the cytoskeleton. 0:01:58.458,0:02:00.101 Unlike our skeletons, 0:02:00.125,0:02:03.851 actin filaments are constantly[br]being built and taken apart. 0:02:03.875,0:02:07.268 The actin cytoskeleton plays[br]incredibly important roles in our cells. 0:02:07.292,0:02:09.059 They allow them to change shape, 0:02:09.083,0:02:11.476 to move around, to adhere to surfaces 0:02:11.500,0:02:13.934 and also to gobble up bacteria. 0:02:13.958,0:02:16.559 Actin is also involved[br]in a different kind of movement. 0:02:16.583,0:02:19.768 In our muscle cells, actin structures[br]form these regular filaments 0:02:19.792,0:02:21.309 that look kind of like fabric. 0:02:21.333,0:02:24.268 When our muscles contract,[br]these filaments are pulled together 0:02:24.292,0:02:26.309 and they go back[br]to their original position 0:02:26.333,0:02:27.809 when our muscles relax. 0:02:27.833,0:02:31.059 Other parts of the cytoskeleton,[br]in this case microtubules, 0:02:31.083,0:02:33.768 are responsible for long-range[br]transportation. 0:02:33.792,0:02:36.434 They can be thought of[br]as basically cellular highways 0:02:36.458,0:02:39.809 that are used to move things[br]from one side of the cell to the other. 0:02:39.833,0:02:42.601 Unlike our roads,[br]microtubules grow and shrink, 0:02:42.625,0:02:44.059 appearing when they're needed 0:02:44.083,0:02:46.434 and disappearing when their job is done. 0:02:46.458,0:02:48.893 The molecular version of semitrucks 0:02:48.917,0:02:51.476 are proteins aptly named motor proteins, 0:02:51.500,0:02:53.976 that can walk along microtubules, 0:02:54.000,0:02:56.684 dragging sometimes huge cargoes, 0:02:56.708,0:02:58.518 like organelles, behind them. 0:02:58.542,0:03:01.393 This particular motor protein[br]is known as dynein, 0:03:01.417,0:03:03.851 and its known to be able[br]to work together in groups 0:03:03.875,0:03:07.309 that almost look, at least to me,[br]like a chariot of horses. 0:03:07.333,0:03:11.184 As you see, the cell is this incredibly[br]changing, dynamic place, 0:03:11.208,0:03:14.643 where things are constantly[br]being built and disassembled. 0:03:14.667,0:03:16.018 But some of these structures 0:03:16.042,0:03:18.143 are harder to take apart[br]than others, though. 0:03:18.167,0:03:20.101 And special forces need to be brought in 0:03:20.125,0:03:23.559 in order to make sure that structures[br]are taken apart in a timely manner. 0:03:23.583,0:03:26.309 That job is done in part[br]by proteins like these. 0:03:26.333,0:03:27.851 These donut-shaped proteins, 0:03:27.875,0:03:29.893 of which there are many types in the cell, 0:03:29.917,0:03:31.976 all seem to act to rip apart structures 0:03:32.000,0:03:35.393 by basically pulling individual proteins[br]through a central hole. 0:03:35.417,0:03:37.976 When these kinds of proteins[br]don't work properly, 0:03:38.000,0:03:40.726 the types of proteins[br]that are supposed to get taken apart 0:03:40.750,0:03:43.184 can sometimes stick together and aggregate 0:03:43.208,0:03:47.393 and that can give rise[br]to terrible diseases, such as Alzheimer's. 0:03:47.417,0:03:49.434 And now let's take a look at the nucleus, 0:03:49.458,0:03:52.393 which houses our genome[br]in the form of DNA. 0:03:52.417,0:03:53.851 In all of our cells, 0:03:53.875,0:03:58.184 our DNA is cared for and maintained[br]by a diverse set of proteins. 0:03:58.208,0:04:01.018 DNA is wound around proteins[br]called histones, 0:04:01.042,0:04:05.351 which enable cells to pack[br]large amounts of DNA into our nucleus. 0:04:05.375,0:04:08.434 These machines[br]are called chromatin remodelers, 0:04:08.458,0:04:11.184 and the way they work[br]is that they basically scoot the DNA 0:04:11.208,0:04:12.476 around these histones 0:04:12.500,0:04:16.351 and they allow new pieces of DNA[br]to become exposed. 0:04:16.375,0:04:19.309 This DNA can then be recognized[br]by other machinery. 0:04:19.333,0:04:21.851 In this case, this large molecular machine 0:04:21.875,0:04:23.559 is looking for a segment of DNA 0:04:23.583,0:04:25.893 that tells it it's[br]at the beginning of a gene. 0:04:25.917,0:04:27.601 Once it finds a segment, 0:04:27.625,0:04:30.393 it basically undergoes[br]a series of shape changes 0:04:30.417,0:04:32.518 which enables it to bring in[br]other machinery 0:04:32.542,0:04:36.684 that in turn allows a gene[br]to get turned on or transcribed. 0:04:36.708,0:04:39.809 This has to be a very[br]tightly regulated process, 0:04:39.833,0:04:42.601 because turning on the wrong gene[br]at the wrong time 0:04:42.625,0:04:45.268 can have disastrous consequences. 0:04:45.292,0:04:48.101 Scientists are now able[br]to use protein machines 0:04:48.125,0:04:49.559 to edit genomes. 0:04:49.583,0:04:52.018 I'm sure all of you have heard of CRISPR. 0:04:52.042,0:04:54.851 CRISPR takes advantage[br]of a protein known as Cas9, 0:04:54.875,0:04:57.809 which can be engineered[br]to recognize and cut 0:04:57.833,0:05:00.226 a very specific sequence of DNA. 0:05:00.250,0:05:01.518 In this example, 0:05:01.542,0:05:05.518 two Cas9 proteins are being used[br]to excise a problematic piece of DNA. 0:05:05.542,0:05:09.018 For example, a part of a gene[br]that may give rise to a disease. 0:05:09.042,0:05:10.519 Cellular machinery is then used 0:05:10.543,0:05:14.059 to basically glue two ends[br]of the DNA back together. 0:05:14.083,0:05:15.351 As a molecular animator, 0:05:15.375,0:05:18.684 one of my biggest challenges[br]is visualizing uncertainty. 0:05:18.708,0:05:22.018 All of the animations I've shown to you[br]represent hypotheses, 0:05:22.042,0:05:24.309 how my collaborators think[br]a process works, 0:05:24.333,0:05:26.684 based on the best information[br]that they have. 0:05:26.708,0:05:28.684 But for a lot of molecular processes, 0:05:28.708,0:05:31.684 we're still really at the early stages[br]of understanding things, 0:05:31.708,0:05:33.018 and there's a lot to learn. 0:05:33.042,0:05:34.309 The truth is 0:05:34.333,0:05:38.292 that these invisible molecular worlds[br]are vast and largely unexplored. 0:05:39.458,0:05:41.518 To me, these molecular landscapes 0:05:41.542,0:05:44.934 are just as exciting to explore[br]as a natural world 0:05:44.958,0:05:47.351 that's visible all around us. 0:05:47.375,0:05:48.643 Thank you. 0:05:48.667,0:05:51.792 (Applause)