1 00:00:00,850 --> 00:00:02,753 So, has everybody heard of CRISPR? 2 00:00:03,883 --> 00:00:06,485 I would be shocked if you hadn't. 3 00:00:06,509 --> 00:00:09,711 This is a technology -- it's for genome editing -- 4 00:00:09,735 --> 00:00:12,569 and it's so versatile and so controversial 5 00:00:12,593 --> 00:00:15,834 that it's sparking all sorts of really interesting conversations. 6 00:00:16,631 --> 00:00:18,694 Should we bring back the woolly mammoth? 7 00:00:19,281 --> 00:00:21,575 Should we edit a human embryo? 8 00:00:22,041 --> 00:00:24,163 And my personal favorite: 9 00:00:24,997 --> 00:00:28,648 How can we justify wiping out an entire species 10 00:00:28,672 --> 00:00:31,116 that we consider harmful to humans 11 00:00:31,140 --> 00:00:32,442 off the face of the Earth, 12 00:00:32,466 --> 00:00:33,983 using this technology? 13 00:00:35,165 --> 00:00:38,448 This type of science is moving much faster 14 00:00:38,472 --> 00:00:41,316 than the regulatory mechanisms that govern it. 15 00:00:41,340 --> 00:00:43,407 And so, for the past six years, 16 00:00:43,431 --> 00:00:45,376 I've made it my personal mission 17 00:00:45,863 --> 00:00:48,873 to make sure that as many people as possible understand 18 00:00:48,897 --> 00:00:51,997 these types of technologies and their implications. 19 00:00:52,021 --> 00:00:56,550 Now, CRISPR has been the subject of a huge media hype, 20 00:00:57,089 --> 00:01:01,448 and the words that are used most often are "easy" and "cheap." 21 00:01:02,337 --> 00:01:05,476 So what I want to do is drill down a little bit deeper 22 00:01:05,500 --> 00:01:09,684 and look into some of the myths and the realities around CRISPR. 23 00:01:10,954 --> 00:01:12,904 If you're trying to CRISPR a genome, 24 00:01:13,594 --> 00:01:16,194 the first thing that you have to do is damage the DNA. 25 00:01:17,098 --> 00:01:20,140 The damage comes in the form of a double-strand break 26 00:01:20,164 --> 00:01:21,728 through the double helix. 27 00:01:21,752 --> 00:01:24,504 And then the cellular repair processes kick in, 28 00:01:25,088 --> 00:01:27,727 and then we convince those repair processes 29 00:01:27,751 --> 00:01:29,627 to make the edit that we want, 30 00:01:30,054 --> 00:01:31,596 and not a natural edit. 31 00:01:31,620 --> 00:01:32,865 That's how it works. 32 00:01:33,929 --> 00:01:35,652 It's a two-part system. 33 00:01:35,676 --> 00:01:39,047 You've got a Cas9 protein and something called a guide RNA. 34 00:01:39,071 --> 00:01:41,533 I like to think of it as a guided missile. 35 00:01:41,557 --> 00:01:44,203 So the Cas9 -- I love to anthropomorphize -- 36 00:01:44,227 --> 00:01:47,457 so the Cas9 is kind of this Pac-Man thing 37 00:01:47,481 --> 00:01:49,026 that wants to chew DNA, 38 00:01:49,050 --> 00:01:53,206 and the guide RNA is the leash that's keeping it out of the genome 39 00:01:53,230 --> 00:01:56,079 until it finds the exact spot where it matches. 40 00:01:56,912 --> 00:01:59,806 And the combination of those two is called CRISPR. 41 00:01:59,830 --> 00:02:01,398 It's a system that we stole 42 00:02:01,422 --> 00:02:04,316 from an ancient, ancient bacterial immune system. 43 00:02:05,469 --> 00:02:09,209 The part that's amazing about it is that the guide RNA, 44 00:02:10,041 --> 00:02:11,932 only 20 letters of it, 45 00:02:11,956 --> 00:02:13,594 are what target the system. 46 00:02:14,570 --> 00:02:16,713 This is really easy to design, 47 00:02:16,737 --> 00:02:18,556 and it's really cheap to buy. 48 00:02:18,985 --> 00:02:22,990 So that's the part that is modular in the system; 49 00:02:23,014 --> 00:02:24,812 everything else stays the same. 50 00:02:25,481 --> 00:02:28,912 This makes it a remarkably easy and powerful system to use. 51 00:02:30,047 --> 00:02:34,287 The guide RNA and the Cas9 protein complex together 52 00:02:34,311 --> 00:02:36,243 go bouncing along the genome, 53 00:02:36,267 --> 00:02:39,760 and when they find a spot where the guide RNA matches, 54 00:02:39,784 --> 00:02:42,639 then it inserts between the two strands of the double helix, 55 00:02:42,663 --> 00:02:44,231 it rips them apart, 56 00:02:44,692 --> 00:02:47,380 that triggers the Cas9 protein to cut, 57 00:02:47,962 --> 00:02:49,381 and all of a sudden, 58 00:02:49,816 --> 00:02:51,716 you've got a cell that's in total panic 59 00:02:51,740 --> 00:02:54,365 because now it's got a piece of DNA that's broken. 60 00:02:55,000 --> 00:02:56,296 What does it do? 61 00:02:56,320 --> 00:02:58,514 It calls its first responders. 62 00:02:58,959 --> 00:03:01,581 There are two major repair pathways. 63 00:03:01,605 --> 00:03:06,674 The first just takes the DNA and shoves the two pieces back together. 64 00:03:06,698 --> 00:03:08,796 This isn't a very efficient system, 65 00:03:08,820 --> 00:03:11,549 because what happens is sometimes a base drops out 66 00:03:11,573 --> 00:03:13,000 or a base is added. 67 00:03:13,024 --> 00:03:16,817 It's an OK way to maybe, like, knock out a gene, 68 00:03:16,841 --> 00:03:20,074 but it's not the way that we really want to do genome editing. 69 00:03:20,098 --> 00:03:22,993 The second repair pathway is a lot more interesting. 70 00:03:23,017 --> 00:03:24,653 In this repair pathway, 71 00:03:24,677 --> 00:03:27,358 it takes a homologous piece of DNA. 72 00:03:27,382 --> 00:03:30,022 And now mind you, in a diploid organism like people, 73 00:03:30,046 --> 00:03:34,294 we've got one copy of our genome from our mom and one from our dad, 74 00:03:34,318 --> 00:03:35,593 so if one gets damaged, 75 00:03:35,617 --> 00:03:38,012 it can use the other chromosome to repair it. 76 00:03:38,036 --> 00:03:39,669 So that's where this comes from. 77 00:03:40,518 --> 00:03:41,982 The repair is made, 78 00:03:42,006 --> 00:03:43,957 and now the genome is safe again. 79 00:03:44,616 --> 00:03:46,139 The way that we can hijack this 80 00:03:46,497 --> 00:03:50,205 is we can feed it a false piece of DNA, 81 00:03:50,229 --> 00:03:52,373 a piece that has homology on both ends 82 00:03:52,397 --> 00:03:54,096 but is different in the middle. 83 00:03:54,120 --> 00:03:56,587 So now, you can put whatever you want in the center 84 00:03:56,611 --> 00:03:58,126 and the cell gets fooled. 85 00:03:58,150 --> 00:04:00,269 So you can change a letter, 86 00:04:00,293 --> 00:04:01,558 you can take letters out, 87 00:04:01,582 --> 00:04:04,506 but most importantly, you can stuff new DNA in, 88 00:04:04,530 --> 00:04:06,279 kind of like a Trojan horse. 89 00:04:07,089 --> 00:04:09,274 CRISPR is going to be amazing, 90 00:04:09,298 --> 00:04:12,916 in terms of the number of different scientific advances 91 00:04:12,940 --> 00:04:14,597 that it's going to catalyze. 92 00:04:14,621 --> 00:04:17,842 The thing that's special about it is this modular targeting system. 93 00:04:17,866 --> 00:04:21,633 I mean, we've been shoving DNA into organisms for years, right? 94 00:04:21,657 --> 00:04:23,784 But because of the modular targeting system, 95 00:04:23,808 --> 00:04:26,233 we can actually put it exactly where we want it. 96 00:04:27,423 --> 00:04:33,092 The thing is that there's a lot of talk about it being cheap 97 00:04:33,116 --> 00:04:34,858 and it being easy. 98 00:04:34,882 --> 00:04:37,694 And I run a community lab. 99 00:04:38,242 --> 00:04:41,798 I'm starting to get emails from people that say stuff like, 100 00:04:41,822 --> 00:04:44,219 "Hey, can I come to your open night 101 00:04:44,243 --> 00:04:47,860 and, like, maybe use CRISPR and engineer my genome?" 102 00:04:47,884 --> 00:04:48,994 (Laugher) 103 00:04:49,018 --> 00:04:50,519 Like, seriously. 104 00:04:51,376 --> 00:04:53,179 I'm, "No, you can't." 105 00:04:53,203 --> 00:04:54,213 (Laughter) 106 00:04:54,237 --> 00:04:56,592 "But I've heard it's cheap. I've heard it's easy." 107 00:04:56,616 --> 00:04:58,799 We're going to explore that a little bit. 108 00:04:58,823 --> 00:05:00,772 So, how cheap is it? 109 00:05:00,796 --> 00:05:03,206 Yeah, it is cheap in comparison. 110 00:05:03,665 --> 00:05:07,284 It's going to take the cost of the average materials for an experiment 111 00:05:07,308 --> 00:05:09,840 from thousands of dollars to hundreds of dollars, 112 00:05:09,864 --> 00:05:11,800 and it cuts the time a lot, too. 113 00:05:11,824 --> 00:05:13,904 It can cut it from weeks to days. 114 00:05:14,246 --> 00:05:15,738 That's great. 115 00:05:15,762 --> 00:05:18,452 You still need a professional lab to do the work in; 116 00:05:18,476 --> 00:05:21,988 you're not going to do anything meaningful outside of a professional lab. 117 00:05:22,012 --> 00:05:24,016 I mean, don't listen to anyone who says 118 00:05:24,040 --> 00:05:26,771 you can do this sort of stuff on your kitchen table. 119 00:05:27,421 --> 00:05:31,929 It's really not easy to do this kind of work. 120 00:05:31,953 --> 00:05:34,261 Not to mention, there's a patent battle going on, 121 00:05:34,285 --> 00:05:36,111 so even if you do invent something, 122 00:05:36,135 --> 00:05:42,771 the Broad Institute and UC Berkeley are in this incredible patent battle. 123 00:05:42,795 --> 00:05:45,183 It's really fascinating to watch it happen, 124 00:05:45,207 --> 00:05:48,455 because they're accusing each other of fraudulent claims 125 00:05:48,479 --> 00:05:50,210 and then they've got people saying, 126 00:05:50,234 --> 00:05:53,018 "Oh, well, I signed my notebook here or there." 127 00:05:53,042 --> 00:05:55,143 This isn't going to be settled for years. 128 00:05:55,167 --> 00:05:56,327 And when it is, 129 00:05:56,351 --> 00:05:59,636 you can bet you're going to pay someone a really hefty licensing fee 130 00:05:59,660 --> 00:06:01,009 in order to use this stuff. 131 00:06:01,343 --> 00:06:03,124 So, is it really cheap? 132 00:06:03,148 --> 00:06:08,347 Well, it's cheap if you're doing basic research and you've got a lab. 133 00:06:09,220 --> 00:06:11,496 How about easy? Let's look at that claim. 134 00:06:12,417 --> 00:06:14,905 The devil is always in the details. 135 00:06:15,881 --> 00:06:19,012 We don't really know that much about cells. 136 00:06:19,036 --> 00:06:20,706 They're still kind of black boxes. 137 00:06:20,730 --> 00:06:25,590 For example, we don't know why some guide RNAs work really well 138 00:06:25,614 --> 00:06:27,677 and some guide RNAs don't. 139 00:06:27,701 --> 00:06:31,169 We don't know why some cells want to do one repair pathway 140 00:06:31,193 --> 00:06:33,651 and some cells would rather do the other. 141 00:06:34,270 --> 00:06:35,554 And besides that, 142 00:06:35,578 --> 00:06:38,447 there's the whole problem of getting the system into the cell 143 00:06:38,471 --> 00:06:39,735 in the first place. 144 00:06:39,759 --> 00:06:41,761 In a petri dish, that's not that hard, 145 00:06:41,785 --> 00:06:44,230 but if you're trying to do it on a whole organism, 146 00:06:44,254 --> 00:06:45,797 it gets really tricky. 147 00:06:46,224 --> 00:06:49,410 It's OK if you use something like blood or bone marrow -- 148 00:06:49,434 --> 00:06:51,661 those are the targets of a lot of research now. 149 00:06:51,685 --> 00:06:53,936 There was a great story of some little girl 150 00:06:53,960 --> 00:06:55,612 who they saved from leukemia 151 00:06:55,636 --> 00:06:58,310 by taking the blood out, editing it, and putting it back 152 00:06:58,334 --> 00:07:00,383 with a precursor of CRISPR. 153 00:07:00,869 --> 00:07:03,665 And this is a line of research that people are going to do. 154 00:07:03,689 --> 00:07:06,242 But right now, if you want to get into the whole body, 155 00:07:06,266 --> 00:07:08,410 you're probably going to have to use a virus. 156 00:07:08,434 --> 00:07:10,807 So you take the virus, you put the CRISPR into it, 157 00:07:10,831 --> 00:07:12,537 you let the virus infect the cell. 158 00:07:12,561 --> 00:07:14,704 But now you've got this virus in there, 159 00:07:14,728 --> 00:07:17,416 and we don't know what the long-term effects of that are. 160 00:07:17,440 --> 00:07:19,708 Plus, CRISPR has some off-target effects, 161 00:07:19,732 --> 00:07:22,693 a very small percentage, but they're still there. 162 00:07:22,717 --> 00:07:25,515 What's going to happen over time with that? 163 00:07:26,039 --> 00:07:28,251 These are not trivial questions, 164 00:07:28,275 --> 00:07:30,915 and there are scientists that are trying to solve them, 165 00:07:30,939 --> 00:07:33,225 and they will eventually, hopefully, be solved. 166 00:07:33,249 --> 00:07:36,883 But it ain't plug-and-play, not by a long shot. 167 00:07:36,907 --> 00:07:38,666 So: Is it really easy? 168 00:07:39,032 --> 00:07:43,365 Well, if you spend a few years working it out in your particular system, 169 00:07:43,389 --> 00:07:44,814 yes, it is. 170 00:07:45,426 --> 00:07:47,510 Now the other thing is, 171 00:07:47,534 --> 00:07:53,893 we don't really know that much about how to make a particular thing happen 172 00:07:53,917 --> 00:07:56,822 by changing particular spots in the genome. 173 00:07:57,306 --> 00:07:59,473 We're a long way away from figuring out 174 00:07:59,497 --> 00:08:01,866 how to give a pig wings, for example. 175 00:08:02,364 --> 00:08:05,228 Or even an extra leg -- I'd settle for an extra leg. 176 00:08:05,252 --> 00:08:06,898 That would be kind of cool, right? 177 00:08:06,922 --> 00:08:08,458 But what is happening 178 00:08:08,482 --> 00:08:12,832 is that CRISPR is being used by thousands and thousands of scientists 179 00:08:12,856 --> 00:08:15,228 to do really, really important work, 180 00:08:15,252 --> 00:08:20,696 like making better models of diseases in animals, for example, 181 00:08:20,720 --> 00:08:25,702 or for taking pathways that produce valuable chemicals 182 00:08:25,726 --> 00:08:29,608 and getting them into industrial production in fermentation vats, 183 00:08:30,021 --> 00:08:33,482 or even doing really basic research on what genes do. 184 00:08:34,022 --> 00:08:36,951 This is the story of CRISPR we should be telling, 185 00:08:36,975 --> 00:08:40,439 and I don't like it that the flashier aspects of it 186 00:08:40,463 --> 00:08:42,219 are drowning all of this out. 187 00:08:42,243 --> 00:08:46,817 Lots of scientists did a lot of work to make CRISPR happen, 188 00:08:46,841 --> 00:08:48,460 and what's interesting to me 189 00:08:48,484 --> 00:08:52,994 is that these scientists are being supported by our society. 190 00:08:53,423 --> 00:08:54,582 Think about it. 191 00:08:54,606 --> 00:08:58,625 We've got an infrastructure that allows a certain percentage of people 192 00:08:58,983 --> 00:09:02,292 to spend all their time doing research. 193 00:09:02,984 --> 00:09:06,355 That makes us all the inventors of CRISPR, 194 00:09:06,998 --> 00:09:11,466 and I would say that makes us all the shepherds of CRISPR. 195 00:09:11,490 --> 00:09:13,297 We all have a responsibility. 196 00:09:13,749 --> 00:09:17,705 So I would urge you to really learn about these types of technologies, 197 00:09:18,010 --> 00:09:20,029 because, really, only in that way 198 00:09:20,415 --> 00:09:24,767 are we going to be able to guide the development of these technologies, 199 00:09:24,791 --> 00:09:26,723 the use of these technologies 200 00:09:26,747 --> 00:09:30,502 and make sure that, in the end, it's a positive outcome -- 201 00:09:31,034 --> 00:09:34,166 for both the planet and for us. 202 00:09:34,698 --> 00:09:35,890 Thanks. 203 00:09:35,914 --> 00:09:39,816 (Applause)