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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 0 00:00:02,610 --> 00:00:05,500 ERIC S. LANDER: What are we going to do in this course if we're not going 1 00:00:05,500 --> 00:00:11,550 to study the whole diversity of life, and we're not going to study all of 2 00:00:11,550 --> 00:00:15,560 evolution, and we're not going to study all the details of cell biology? 3 00:00:15,560 --> 00:00:30,460 What we're going to do in this course is, we are going to study the 4 00:00:30,460 --> 00:00:41,330 fundamental principles, and we are going to study the intellectual 5 00:00:41,330 --> 00:00:44,340 unification of biology. 6 00:00:52,650 --> 00:00:57,670 Fundamental principles and the intellectual unification of biology-- 7 00:00:57,670 --> 00:01:02,900 all of it is essentially the story of about the last 100 years. 8 00:01:02,900 --> 00:01:05,660 It's about the last 100 years. 9 00:01:05,660 --> 00:01:10,020 And it can be summarized in a diagram that I'm going to use again, and 10 00:01:10,020 --> 00:01:11,020 again, and again. 11 00:01:11,020 --> 00:01:13,680 And it's the coat of arms of this course. 12 00:01:13,680 --> 00:01:17,660 And you will see the diagram essentially every lecture, and it's 13 00:01:17,660 --> 00:01:20,650 going to be a you are here kind of diagram. 14 00:01:20,650 --> 00:01:24,170 At any given point of the course, you're going to know where we are. 15 00:01:24,170 --> 00:01:26,660 And by the time we're done, you'll truly understand the 16 00:01:26,660 --> 00:01:27,910 meaning of this diagram. 17 00:01:33,590 --> 00:01:36,280 We want to understand biological function-- 18 00:01:38,870 --> 00:01:42,910 how biology does things, how the butterfly flies this beautiful morphal 19 00:01:42,910 --> 00:01:45,600 butterfly flapping its wings, flying. 20 00:01:45,600 --> 00:01:46,840 How does it do it? 21 00:01:46,840 --> 00:01:48,420 How does it make those wings fly? 22 00:01:48,420 --> 00:01:51,650 How do the muscles work, the nerves work? 23 00:01:51,650 --> 00:01:52,540 How does any of that happen? 24 00:01:52,540 --> 00:01:55,380 And then the butterfly reproduces and produces more butterflies. 25 00:01:55,380 --> 00:01:56,120 How does that happen? 26 00:01:56,120 --> 00:01:58,220 We want to understand biological function. 27 00:01:58,220 --> 00:02:02,730 Well, for a very long time, the ancient Greeks used to study 28 00:02:02,730 --> 00:02:08,080 biological function by sitting around thinking hard about it. 29 00:02:08,080 --> 00:02:10,490 It was a long tradition, a philosophical tradition of sitting 30 00:02:10,490 --> 00:02:14,010 around thinking about things. 31 00:02:14,010 --> 00:02:18,280 Aristotle, I believe, was convinced that sex determination-- 32 00:02:18,280 --> 00:02:21,900 whether the baby was going to be a boy or girl-- 33 00:02:21,900 --> 00:02:26,050 had to do with whether or not the couple conceived the child in a north 34 00:02:26,050 --> 00:02:28,440 wind or a south wind. 35 00:02:28,440 --> 00:02:32,270 There was no experimental data to support this. 36 00:02:32,270 --> 00:02:36,200 There was a long period of time that people noticed that brains are hot, 37 00:02:36,200 --> 00:02:37,590 heads are hot. 38 00:02:37,590 --> 00:02:39,820 And they radiated a lot of heat. 39 00:02:39,820 --> 00:02:44,300 And it was held that the brain was a radiator, a device 40 00:02:44,300 --> 00:02:46,990 for dissipating heat. 41 00:02:46,990 --> 00:02:50,330 It may be in many cases, but we'd like to think that it has other, more 42 00:02:50,330 --> 00:02:53,650 important functions. 43 00:02:53,650 --> 00:02:56,870 These are observational things without testing. 44 00:02:56,870 --> 00:02:59,940 Now, don't get me wrong, observation is incredibly important. 45 00:02:59,940 --> 00:03:03,550 The invention of the microscope and the ability to see cells, see 46 00:03:03,550 --> 00:03:06,460 structures within cells, taught us tremendous amounts. 47 00:03:06,460 --> 00:03:10,240 So I'm not dissing the power of observational biology. 48 00:03:10,240 --> 00:03:16,040 But until we had analytical biology, the ability to test ideas by 49 00:03:16,040 --> 00:03:19,330 experiment, we really couldn't know that we were right. 50 00:03:19,330 --> 00:03:25,030 And we could be as wrong as easily as we were right about things. 51 00:03:25,030 --> 00:03:30,470 The 20th century largely opens with two ways to study biology, two ways to 52 00:03:30,470 --> 00:03:33,020 study biology. 53 00:03:33,020 --> 00:03:37,095 One of them is called biochemistry. 54 00:03:44,360 --> 00:03:53,190 Biochemistry is the idea that we can understand life by grinding it up, 55 00:03:53,190 --> 00:03:58,315 fractionating it into little pieces, and studying individual components. 56 00:04:00,910 --> 00:04:06,100 Biochemistry is the study of individual components purified away 57 00:04:06,100 --> 00:04:08,490 from the rest of life-- 58 00:04:08,490 --> 00:04:15,280 one component away from the rest. 59 00:04:19,029 --> 00:04:23,200 And it involves purifying that component away from 60 00:04:23,200 --> 00:04:24,640 the rest, very often. 61 00:04:24,640 --> 00:04:30,030 So how would a biochemist study the morphal butterfly flapping its wings 62 00:04:30,030 --> 00:04:31,780 and trying to understand that? 63 00:04:31,780 --> 00:04:35,430 The biochemist would start by taking the butterfly, putting it into the 64 00:04:35,430 --> 00:04:38,610 blender, and homogenizing it in some way. 65 00:04:38,610 --> 00:04:42,080 By the way, I'm a geneticist not a biochemist, so I get 66 00:04:42,080 --> 00:04:43,840 to say these things. 67 00:04:43,840 --> 00:04:48,920 The biochemist would grind it up and look for proteins or components that 68 00:04:48,920 --> 00:04:51,870 might be able to slide by each other and act like muscles. 69 00:04:51,870 --> 00:04:56,910 And the biochemist would be happy when she was able to take some components 70 00:04:56,910 --> 00:05:01,100 out of pureed butterfly and show that they could in fact slide back and 71 00:05:01,100 --> 00:05:03,600 forth without the whole rest of the butterfly. 72 00:05:03,600 --> 00:05:04,850 That's biochemistry. 73 00:05:10,490 --> 00:05:13,060 It's pretty powerful, though, because if you can actually make something 74 00:05:13,060 --> 00:05:15,570 work without the whole rest of the butterfly, it's impressive. 75 00:05:15,570 --> 00:05:18,600 You really know that you've got the cause of it. 76 00:05:18,600 --> 00:05:21,990 And very often the most interesting things that the biochemists would 77 00:05:21,990 --> 00:05:25,155 isolate were molecules called proteins. 78 00:05:28,570 --> 00:05:34,290 Now, an utterly complimentary point of view also started essentially at the 79 00:05:34,290 --> 00:05:39,730 exact same moment at the beginning of the 20th century. 80 00:05:39,730 --> 00:05:44,570 And that was genetics. 81 00:05:44,570 --> 00:05:46,780 Geneticists do exactly the opposite. 82 00:05:46,780 --> 00:05:51,000 If biochemists study one component away from the rest of the organism, 83 00:05:51,000 --> 00:05:56,310 what a geneticist does, is a geneticist studies an organism minus 84 00:05:56,310 --> 00:05:57,870 one component-- 85 00:05:57,870 --> 00:06:00,270 the whole organism takeaway one component. 86 00:06:00,270 --> 00:06:03,070 Now, how do I take away one component? 87 00:06:03,070 --> 00:06:07,920 It's a mutant, a mutant organism, an organism with exactly one defect. 88 00:06:07,920 --> 00:06:10,900 Something's wrong that's broken exactly one component, but you 89 00:06:10,900 --> 00:06:13,790 otherwise have the whole organism there and functioning. 90 00:06:13,790 --> 00:06:21,850 So here what we have is the organism minus one component, 91 00:06:21,850 --> 00:06:24,570 that is to say mutants. 92 00:06:24,570 --> 00:06:29,730 And geneticists didn't know what was missing. 93 00:06:29,730 --> 00:06:32,390 Geneticists had no idea what was missing. 94 00:06:32,390 --> 00:06:35,290 And when you don't know, you give it a name, because it 95 00:06:35,290 --> 00:06:37,130 makes you feel better. 96 00:06:37,130 --> 00:06:41,190 And what they called the thing that was missing, the thing that gave rise 97 00:06:41,190 --> 00:06:44,030 to this trait, this thing, they called it a gene. 98 00:06:47,930 --> 00:06:54,690 Gene, like generating, like genesis, beginning, making-- 99 00:06:54,690 --> 00:06:55,940 a gene. 100 00:06:57,640 --> 00:07:03,340 For 50 years, the first half of the 20th century, biochemists did 101 00:07:03,340 --> 00:07:04,770 biochemistry. 102 00:07:04,770 --> 00:07:06,980 Geneticists did genetics. 103 00:07:06,980 --> 00:07:09,530 Two complimentary ways of studying life. 104 00:07:12,730 --> 00:07:15,680 They actually had almost nothing to say to each other. 105 00:07:15,680 --> 00:07:19,560 They had nothing to say to each other, because you see, the geneticists were 106 00:07:19,560 --> 00:07:22,330 studying this organism minus something, but they couldn't put their 107 00:07:22,330 --> 00:07:23,160 hands on the something. 108 00:07:23,160 --> 00:07:24,470 They couldn't purify the something. 109 00:07:24,470 --> 00:07:27,570 They couldn't know what the thing was, but they could study the rules of 110 00:07:27,570 --> 00:07:28,300 inheritance of it. 111 00:07:28,300 --> 00:07:30,470 They could study the diverse things that could happen 112 00:07:30,470 --> 00:07:32,190 when you made mutants. 113 00:07:32,190 --> 00:07:35,050 The biochemist, they can grind up things and purify it, but they were 114 00:07:35,050 --> 00:07:37,700 studying these single components in the test tube away from the rest of 115 00:07:37,700 --> 00:07:38,560 the organism. 116 00:07:38,560 --> 00:07:41,120 And they couldn't really tell you how it worked together 117 00:07:41,120 --> 00:07:42,190 with the whole organism. 118 00:07:42,190 --> 00:07:44,660 Yeah, these two things could slide by, and maybe that was 119 00:07:44,660 --> 00:07:45,870 the basis of muscles. 120 00:07:45,870 --> 00:07:47,120 But how would you know? 121 00:07:49,340 --> 00:07:53,350 The geneticist would look for a butterfly that couldn't fly, maybe 122 00:07:53,350 --> 00:07:56,300 look for 20 different kinds of butterflies that couldn't fly, start 123 00:07:56,300 --> 00:08:00,160 crossing them together and asking, how many different ways can a butterfly 124 00:08:00,160 --> 00:08:02,660 have a mutation that prevents it from flying? 125 00:08:02,660 --> 00:08:05,600 Well, some mutations might cause no wings, some no muscles. 126 00:08:05,600 --> 00:08:08,690 Some have muscles, but the muscles don't work. 127 00:08:08,690 --> 00:08:10,982 But the two sides couldn't talk to each other. 128 00:08:10,982 --> 00:08:15,970 And yet we knew somehow these things were connected. 129 00:08:15,970 --> 00:08:19,500 The first great intellectual unification occurred at the middle of 130 00:08:19,500 --> 00:08:21,180 the 20th century. 131 00:08:21,180 --> 00:08:26,460 And it was the recognition that there was an intimate link 132 00:08:26,460 --> 00:08:29,430 between genes and proteins. 133 00:08:29,430 --> 00:08:34,190 And that intimate link between genes and proteins is what we call molecular 134 00:08:34,190 --> 00:08:39,020 biology, the study of molecular biology. 135 00:08:39,020 --> 00:08:42,120 And it is the genes, which it's no surprise to you. 136 00:08:42,120 --> 00:08:44,280 I'm not going to be able to keep suspense up on this. 137 00:08:44,280 --> 00:08:46,430 Genes are DNA. 138 00:08:46,430 --> 00:08:49,970 They encode the instructions for the proteins. 139 00:08:49,970 --> 00:08:52,930 But just because you learned that in kindergarten and everybody knows that 140 00:08:52,930 --> 00:08:56,530 the DNA encodes proteins and things like that, you shouldn't find that to 141 00:08:56,530 --> 00:08:57,840 be any less amazing. 142 00:08:57,840 --> 00:09:02,380 And you shouldn't lose track of what a stunning intellectual unification 143 00:09:02,380 --> 00:09:06,030 there was when genetics and biochemistry turned out to be flip 144 00:09:06,030 --> 00:09:07,910 sides of the same thing. 145 00:09:07,910 --> 00:09:11,150 The thing that was missing encoded those single components that were 146 00:09:11,150 --> 00:09:12,450 being studied. 147 00:09:12,450 --> 00:09:20,690 And the DNA was read out into RNA, an intermediate molecule which then was 148 00:09:20,690 --> 00:09:22,060 used to produce proteins. 149 00:09:22,060 --> 00:09:28,850 And that intellectual unification precedes Crick and Watson. 150 00:09:28,850 --> 00:09:32,780 But Crick and Watson with the double helix provided such an amazing 151 00:09:32,780 --> 00:09:36,870 understanding of how it is that DNA might encode those proteins. 152 00:09:36,870 --> 00:09:40,200 And the next decade or two are figuring out how the DNA 153 00:09:40,200 --> 00:09:43,550 encodes those proteins. 154 00:09:43,550 --> 00:09:46,230 That got us to about 3/4 of the way through the 20th century. 155 00:09:46,230 --> 00:09:48,730 And folks were so pleased with themselves. 156 00:09:48,730 --> 00:09:50,420 They said, ahh, we have it. 157 00:09:50,420 --> 00:09:51,735 We know the secret of life. 158 00:09:55,710 --> 00:09:58,820 Let's stop and do something else. 159 00:09:58,820 --> 00:10:01,420 But as always happens, young people come along. 160 00:10:01,420 --> 00:10:06,640 And the young people said, you know, you old guys, you're so pleased you 161 00:10:06,640 --> 00:10:08,520 discovered the secret of life-- 162 00:10:08,520 --> 00:10:09,940 genes encode proteins. 163 00:10:09,940 --> 00:10:12,760 You can't actually read a single gene. 164 00:10:12,760 --> 00:10:14,020 It's all theoretical. 165 00:10:14,020 --> 00:10:14,650 You've proven it. 166 00:10:14,650 --> 00:10:15,950 There's no doubt that that's the case-- 167 00:10:15,950 --> 00:10:17,920 DNA encodes the RNA and encodes the proteins. 168 00:10:17,920 --> 00:10:20,460 But you haven't read a single gene. 169 00:10:20,460 --> 00:10:22,770 Isn't that pathetic? 170 00:10:22,770 --> 00:10:28,330 And the older generation said, well, you know, we've got the basic 171 00:10:28,330 --> 00:10:29,090 principle down. 172 00:10:29,090 --> 00:10:33,150 And it's not possible to purify single genes from other genes, because 173 00:10:33,150 --> 00:10:35,850 they're all made out of DNA, and they all look the same. 174 00:10:35,850 --> 00:10:41,190 Well, in the 1970s came an amazing revolution where it became possible to 175 00:10:41,190 --> 00:10:46,180 purify single genes away from each other and to work with single genes 176 00:10:46,180 --> 00:10:50,360 and read single genes, reproduce those genes and sequence those genes and 177 00:10:50,360 --> 00:10:53,950 change those genes, at least in a test tube. 178 00:10:53,950 --> 00:10:58,240 And that's what's called recombinant DNA. 179 00:10:58,240 --> 00:11:02,200 Recombinant DNA took what was an utterly theoretical picture, a 180 00:11:02,200 --> 00:11:06,060 beautiful theoretical understanding, and it made it operational. 181 00:11:06,060 --> 00:11:07,490 It made it practical. 182 00:11:07,490 --> 00:11:14,300 It made it possible to then say, oh, I can actually read a gene and figure 183 00:11:14,300 --> 00:11:16,700 out what protein it's encoding. 184 00:11:16,700 --> 00:11:20,710 Oh, I can take a protein and figure out what gene encodes it. 185 00:11:20,710 --> 00:11:22,950 Oh, I might be able to knock out a gene and see 186 00:11:22,950 --> 00:11:26,540 what function it subserves. 187 00:11:26,540 --> 00:11:30,710 I can actually move around this diagram, and this diagram now becomes 188 00:11:30,710 --> 00:11:37,380 a diagram that I can traverse around and around and around. 189 00:11:37,380 --> 00:11:42,110 And that got us to the mid 1980s. 190 00:11:42,110 --> 00:11:45,310 In the mid 1980s, people were so pleased with themselves. 191 00:11:45,310 --> 00:11:47,950 They said, hey, we can now do this. 192 00:11:47,950 --> 00:11:51,430 We can operationally read out genes and all that. 193 00:11:51,430 --> 00:11:55,060 And of course, the young people came along and said, that's great. 194 00:11:55,060 --> 00:11:56,100 You're all pleased with yourselves. 195 00:11:56,100 --> 00:11:56,710 But you know what? 196 00:11:56,710 --> 00:11:58,720 There are all these human diseases-- 197 00:11:58,720 --> 00:12:02,230 cystic fibrosis, and Huntington's disease, and this, and that, and the 198 00:12:02,230 --> 00:12:03,520 other thing. 199 00:12:03,520 --> 00:12:06,750 Can you find the genes for any of that? 200 00:12:06,750 --> 00:12:08,010 Well, no, not really. 201 00:12:08,010 --> 00:12:11,380 If we knew what the protein was, we could find the gene. 202 00:12:11,380 --> 00:12:14,690 And if we knew what the gene was, we could find the protein. 203 00:12:14,690 --> 00:12:17,930 But as it happens, we don't know either and not much we 204 00:12:17,930 --> 00:12:19,800 can do about that. 205 00:12:19,800 --> 00:12:25,280 And the problem was that people were studying genes one at a time. 206 00:12:25,280 --> 00:12:26,870 All of the genes-- 207 00:12:26,870 --> 00:12:28,850 we call it the genome-- 208 00:12:28,850 --> 00:12:33,040 was very big, so big, that to people in the mid 1980s, it might as well 209 00:12:33,040 --> 00:12:33,595 have been infinite. 210 00:12:33,595 --> 00:12:35,470 And people said, we're never going to really get to it. 211 00:12:35,470 --> 00:12:37,970 Or some time in the next century, we might get the whole thing. 212 00:12:37,970 --> 00:12:41,990 We've got to study single components, single genes. 213 00:12:41,990 --> 00:12:45,260 But an idea began getting going in the mid 1980s, which is about when I got 214 00:12:45,260 --> 00:12:48,250 involved in biology, that said, why not? 215 00:12:48,250 --> 00:12:50,530 Why can't we look at the whole thing? 216 00:12:50,530 --> 00:12:54,600 Why can't we take a systematic look at the entire genome, all the genes 217 00:12:54,600 --> 00:12:56,080 simultaneously? 218 00:12:56,080 --> 00:12:57,720 And it wasn't just a question of big scale. 219 00:12:57,720 --> 00:13:00,890 It's that when you look at the entirety of a picture, you see 220 00:13:00,890 --> 00:13:02,620 different things. 221 00:13:02,620 --> 00:13:07,910 And so it was born, standing outside-- 222 00:13:07,910 --> 00:13:10,590 I'll draw here this eye looking down-- 223 00:13:10,590 --> 00:13:17,290 genomics, global views, systematic views, of all of the 224 00:13:17,290 --> 00:13:19,180 genes, all of the proteins. 225 00:13:19,180 --> 00:13:20,030 And you just think about it. 226 00:13:20,030 --> 00:13:24,270 If I want to study the Earth, I can go walking around on the ground and I can 227 00:13:24,270 --> 00:13:25,560 see Manhattan. 228 00:13:25,560 --> 00:13:28,450 I might go walking around and stumble onto the Grand Canyon or the 229 00:13:28,450 --> 00:13:29,980 Mississippi. 230 00:13:29,980 --> 00:13:34,150 But how do I put those pieces together unless I can get the entire Earth? 231 00:13:34,150 --> 00:13:37,570 You know, it's like in the 1300s when people might know their little local 232 00:13:37,570 --> 00:13:40,040 neighborhood but had no idea what the whole Earth was like. 233 00:13:40,040 --> 00:13:41,880 And it turns out pretty amazing things happen. 234 00:13:41,880 --> 00:13:46,410 When you look at the entire Earth, you realize that South America and Africa 235 00:13:46,410 --> 00:13:48,510 kind of fit together. 236 00:13:48,510 --> 00:13:51,650 And boy, it turns out to be continental drift. 237 00:13:51,650 --> 00:13:56,010 And you learn amazing things at scale you don't otherwise learn. 238 00:13:56,010 --> 00:13:58,370 You learn about large formations. 239 00:13:58,370 --> 00:13:59,790 You can take an unbiased look. 240 00:13:59,790 --> 00:14:03,300 I can find the deepest deep and the highest high and all sorts of 241 00:14:03,300 --> 00:14:05,020 properties and things like that. 242 00:14:05,020 --> 00:14:08,240 And that's what we've begun to do, because in the mid 1980s, 243 00:14:08,240 --> 00:14:11,585 people began a process. 244 00:14:11,585 --> 00:14:14,315 The biggest aspect of it was called the Human Genome Project. 245 00:14:14,315 --> 00:14:17,360 And I was very much involved together with other people in the Human Genome 246 00:14:17,360 --> 00:14:21,800 Project to try to read out all the information in the human genome. 247 00:14:21,800 --> 00:14:26,460 And it was certifiably nuts to try to do that in the mid 1980s. 248 00:14:26,460 --> 00:14:28,560 But people put together some plans. 249 00:14:28,560 --> 00:14:30,360 They were pretty sketchy plans if you ask me. 250 00:14:30,360 --> 00:14:33,550 But somehow people convinced the United States Congress that it was all 251 00:14:33,550 --> 00:14:34,480 going to work. 252 00:14:34,480 --> 00:14:37,010 Please don't ask for details. 253 00:14:37,010 --> 00:14:40,195 And the Congress being very sensible, said, we understand. 254 00:14:40,195 --> 00:14:42,780 If the scientific community thinks this is really going to work and is 255 00:14:42,780 --> 00:14:46,070 prepared to put its neck on the line, we'll back you for a while. 256 00:14:46,070 --> 00:14:48,160 We'd like to see results along the way. 257 00:14:48,160 --> 00:14:51,390 And a lot of young people poured into the field and began working on a Human 258 00:14:51,390 --> 00:14:52,500 Genome Project. 259 00:14:52,500 --> 00:14:59,280 And by 2000, 2001, we had a rough sequence of the whole human genome. 260 00:14:59,280 --> 00:15:02,770 By 2003, we had a finished sequence of the whole human genome. 261 00:15:02,770 --> 00:15:04,380 That's about 10 years ago. 262 00:15:04,380 --> 00:15:06,435 For about 10 years, we've had a finished sequence of 263 00:15:06,435 --> 00:15:07,550 that whole human genome. 264 00:15:07,550 --> 00:15:10,730 And now we can stand back, and we can get the genes associated with 265 00:15:10,730 --> 00:15:12,150 particular diseases. 266 00:15:12,150 --> 00:15:15,090 And we can move around this diagram not just for individual pieces but for 267 00:15:15,090 --> 00:15:15,880 the whole picture. 268 00:15:15,880 --> 00:15:17,830 And we see the whole thing. 269 00:15:17,830 --> 00:15:22,710 And we were so pleased with ourselves, because we just had the entire world 270 00:15:22,710 --> 00:15:26,640 work together to get one human genome. 271 00:15:26,640 --> 00:15:32,980 It cost about $3 billion, which over 10 or 15 years isn't that all much. 272 00:15:32,980 --> 00:15:35,200 It turns out that's by $300 million a year. 273 00:15:35,200 --> 00:15:36,320 It's not terrible. 274 00:15:36,320 --> 00:15:40,170 In terms of The National Institutes of Health budget, it's 100 275 00:15:40,170 --> 00:15:41,150 times larger than that. 276 00:15:41,150 --> 00:15:44,210 It was only about 1% of the National Institutes of Health budget 277 00:15:44,210 --> 00:15:44,840 that went to it. 278 00:15:44,840 --> 00:15:47,360 And of course it was done not just in the United States, but it was also the 279 00:15:47,360 --> 00:15:50,150 United Kingdom, and France, and Germany, and Japan, and China working 280 00:15:50,150 --> 00:15:51,420 together on this whole thing. 281 00:15:51,420 --> 00:15:53,610 But we were so pleased with ourselves. 282 00:15:53,610 --> 00:15:55,760 But of course, what if we wanted a second human genome? 283 00:15:55,760 --> 00:15:57,010 Is that another $3 billion? 284 00:15:59,400 --> 00:16:00,240 We've gotten pretty good. 285 00:16:00,240 --> 00:16:01,870 It was down to $300 million. 286 00:16:01,870 --> 00:16:03,850 But that was still pretty expensive. 287 00:16:03,850 --> 00:16:06,410 What has happened in the last decade? 288 00:16:06,410 --> 00:16:09,770 It's every bit as mind blowing as all the previous decades. 289 00:16:09,770 --> 00:16:15,830 What's happened in the last decade, is the cost of sequencing has fallen by 290 00:16:15,830 --> 00:16:18,410 about a million fold. 291 00:16:18,410 --> 00:16:24,910 Whereas it was once $3 billion, it's now $3,000, $4,000, or $5,000 to 292 00:16:24,910 --> 00:16:27,380 sequence entire human genome. 293 00:16:27,380 --> 00:16:31,330 There's nothing that beats that that I know of in human history. 294 00:16:31,330 --> 00:16:38,070 The folks who brag about Moore's Law on computers and how the cost of 295 00:16:38,070 --> 00:16:41,020 electronics of storage and processing fall, and fall, and fall 296 00:16:41,020 --> 00:16:42,280 exponentially. 297 00:16:42,280 --> 00:16:44,430 This is much faster than that. 298 00:16:44,430 --> 00:16:47,730 It's gone much faster than Moore's law-- million fold in the course of a 299 00:16:47,730 --> 00:16:48,780 decade or so. 300 00:16:48,780 --> 00:16:52,710 And suddenly, it means that today it's possible not to stop at sequencing 301 00:16:52,710 --> 00:16:57,660 single genomes, but thousands of genomes, 10s of thousands of genomes. 302 00:16:57,660 --> 00:17:00,220 And just in the past several years I've been teaching this course, I keep 303 00:17:00,220 --> 00:17:02,980 telling the class how many genomes have gotten sequenced. 304 00:17:02,980 --> 00:17:05,530 And I'll tell you when we get to the relevant part of the course, but it's 305 00:17:05,530 --> 00:17:08,310 going to be a very large number of how many genomes have 306 00:17:08,310 --> 00:17:10,950 gotten sequenced already. 307 00:17:10,950 --> 00:17:12,319 And we're learning all sorts of things. 308 00:17:12,319 --> 00:17:17,150 Whereas about the time you guys were born, I'll subtract the number of 309 00:17:17,150 --> 00:17:22,440 genetic diseases that people really knew about was measured in the dozens. 310 00:17:22,440 --> 00:17:25,470 Today, it's measured in the-- 311 00:17:25,470 --> 00:17:29,870 about 5,000 genetic diseases for which we have genes associated with them. 312 00:17:29,870 --> 00:17:34,220 Pretty remarkable, and it's going faster and faster and faster. 313 00:17:34,220 --> 00:17:40,200 So what I want you to take away more than anything is that this is a course 314 00:17:40,200 --> 00:17:43,280 about something that is changing as we're teaching it. 315 00:17:43,280 --> 00:17:47,450 The reason I love teaching introductory biology is because you 316 00:17:47,450 --> 00:17:48,790 need to know about this. 317 00:17:48,790 --> 00:17:52,650 You need to do this idea of the secret of life, because it's going to be 318 00:17:52,650 --> 00:17:53,820 affecting everything we do. 319 00:17:53,820 --> 00:17:55,090 It's going to be in the newspapers. 320 00:17:55,090 --> 00:17:58,210 There will be unpredictable things that are happening 321 00:17:58,210 --> 00:18:00,160 every week, every month. 322 00:18:00,160 --> 00:18:03,490 And you need the fundamentals to understand what that's about. 323 00:18:03,490 --> 00:18:05,010 This is understandable stuff. 324 00:18:05,010 --> 00:18:06,750 It's amazing stuff. 325 00:18:06,750 --> 00:18:15,590 We are going to come back again, and again, and again to this diagram-- 326 00:18:18,120 --> 00:18:23,350 genetics, biochemistry, and molecular biology that connects them, the 327 00:18:23,350 --> 00:18:29,310 recombinant DNA, the genomics, and then the amazing things that are going 328 00:18:29,310 --> 00:18:33,330 on right now, the ideas that are even unimaginable. 329 00:18:33,330 --> 00:18:37,630 Writing software for cells and DNA, changing what cells do. 330 00:18:37,630 --> 00:18:40,290 There's all sorts of folks who are saying, oh, you guys are all so 331 00:18:40,290 --> 00:18:41,680 pleased with yourself. 332 00:18:41,680 --> 00:18:44,260 But there's so much more we could be doing. 333 00:18:44,260 --> 00:18:47,200 And there are people here at MIT and people all over the world thinking 334 00:18:47,200 --> 00:18:49,680 about what the next revolution is about. 335 00:18:49,680 --> 00:18:52,160 Anyway, that's what the course is about. 336 00:18:52,160 --> 00:18:54,010 It's what it's not about. 337 00:18:54,010 --> 00:18:56,520 There's things we're not going to be able to do, and the things we are 338 00:18:56,520 --> 00:18:57,520 going to be able to do. 339 00:18:57,520 --> 00:19:00,700 And as I hope you know what I care about, is that you get that whole 340 00:19:00,700 --> 00:19:02,560 intellectual unity of this. 341 00:19:02,560 --> 00:19:05,780 Science is about that kind of intellectual unification. 342 00:19:05,780 --> 00:19:08,070 This is one of the great intellectual unifications. 343 00:19:08,070 --> 00:19:10,830 This is of the greatest stories ever told. 344 00:19:10,830 --> 00:19:12,080 And that's what the course is about. 28809

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