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These are the user uploaded subtitles that are being translated: 1 00:00:01,402 --> 00:00:02,401 you wonder aboutut? 2 00:00:02,403 --> 00:00:03,469 MAN: The unknown. 3 00:00:03,471 --> 00:00:04,937 What our place in the universe is. 4 00:00:04,939 --> 00:00:06,271 Artificial intelligence. 5 00:00:06,273 --> 00:00:07,606 Hello. 6 00:00:07,608 --> 00:00:08,640 Look at this, what's this? 7 00:00:08,642 --> 00:00:09,641 Animals. 8 00:00:09,643 --> 00:00:10,442 An egg. 9 00:00:10,444 --> 00:00:12,644 Your brain. 10 00:00:12,646 --> 00:00:15,948 RANA EL KALIOUBY: Life on a faraway planet. 11 00:00:15,950 --> 00:00:20,019 WILLIAMS: "NOVA Wonders"-- investigating the biggest mysteries. 12 00:00:20,021 --> 00:00:22,021 We have no idea what's going on there. 13 00:00:22,023 --> 00:00:23,155 These planets in the middle 14 00:00:23,157 --> 00:00:25,290 we think are in the habitable zone. 15 00:00:25,292 --> 00:00:28,093 WILLIAMS: And making incredible discoveries. 16 00:00:28,095 --> 00:00:29,962 WOMAN: Trying to understand 17 00:00:29,964 --> 00:00:32,364 their behavior, their life, everything that goes on here. 18 00:00:32,366 --> 00:00:34,500 MAN: Building an artificial intelligence 19 00:00:34,502 --> 00:00:37,936 is going to be the crowning achievement of humanity. 20 00:00:37,938 --> 00:00:39,805 WILLIAMS: We're three scientists 21 00:00:39,807 --> 00:00:43,275 exploring the frontiers of human knowledge. 22 00:00:43,277 --> 00:00:44,410 ANDRÉ FENTON: I'm a neuroscientist 23 00:00:44,412 --> 00:00:46,745 and I study the biology of memory. 24 00:00:46,747 --> 00:00:48,781 EL KALIOUBY: I'm a computer scientist 25 00:00:48,783 --> 00:00:50,349 and I build technology 26 00:00:50,351 --> 00:00:53,152 that can read human emotions. 27 00:00:53,154 --> 00:00:55,521 WILLIAMS: And I'm a mathematician, 28 00:00:55,523 --> 00:00:59,358 using big data to understand our modern world. 29 00:01:01,295 --> 00:01:04,296 And we're tacking the biggest questions... 30 00:01:04,298 --> 00:01:05,731 Dark energy? ALL: Dark energy? 31 00:01:05,733 --> 00:01:06,932 WILLIAMS: Of life... 32 00:01:06,934 --> 00:01:08,033 DAVID PRIDE: There's all of these microbes, 33 00:01:08,035 --> 00:01:10,169 and we just don't know what they are. 34 00:01:10,171 --> 00:01:11,904 WILLIAMS: And the cosmos. 35 00:01:11,906 --> 00:01:13,906 ♪ ♪ 36 00:01:13,908 --> 00:01:15,307 WILLIAMS: On this episode, 37 00:01:15,309 --> 00:01:17,609 DNA is really just a chemical. 38 00:01:17,611 --> 00:01:20,946 WILLIAMS: We're rewriting the code of life like never before. 39 00:01:20,948 --> 00:01:22,648 DREW ENDY: There's enough DNA 40 00:01:22,650 --> 00:01:24,249 to make 30 copies of every human genome 41 00:01:24,251 --> 00:01:25,384 on the planet. 42 00:01:25,386 --> 00:01:27,386 GEORGE CHURCH: You can change every species 43 00:01:27,388 --> 00:01:29,421 to almost anything you want. 44 00:01:29,423 --> 00:01:32,925 WILLIAMS: Can this new genetic power save lives? 45 00:01:32,927 --> 00:01:36,662 Or even bring extinct creatures back from the dead? 46 00:01:36,664 --> 00:01:39,531 BETH SHAPIRO: Could we bring a mammoth back to life? 47 00:01:39,533 --> 00:01:40,833 (roaring) 48 00:01:40,835 --> 00:01:43,936 WILLIAMS: It's a revolution in biology. 49 00:01:43,938 --> 00:01:47,873 WOMAN: This is rapid man-made evolution. 50 00:01:47,875 --> 00:01:50,943 WILLIAMS: "NOVA Wonders"-- "Can We Make Life?" 51 00:01:50,945 --> 00:01:53,846 (babies crying) 52 00:01:56,917 --> 00:01:58,450 IAMS: The earth is brimming 53 00:01:58,452 --> 00:02:01,854 with an unimaginable variety of life, 54 00:02:01,856 --> 00:02:03,288 a multitude of creatures 55 00:02:03,290 --> 00:02:07,192 connected and intertwined in countless ways. 56 00:02:08,229 --> 00:02:10,596 They've evolved over a billion years 57 00:02:10,598 --> 00:02:12,464 driven by a very simple code. 58 00:02:13,968 --> 00:02:15,034 EL KALIOUBY: For decades, 59 00:02:15,036 --> 00:02:17,469 scientists have been trying to master 60 00:02:17,471 --> 00:02:20,472 this chemical cipher that we call DNA. 61 00:02:23,144 --> 00:02:24,309 WILLIAMS: Now, suddenly, 62 00:02:24,311 --> 00:02:27,279 new tools are allowing researchers 63 00:02:27,281 --> 00:02:29,114 to manipulate the code of life 64 00:02:29,116 --> 00:02:30,949 with incredible precision. 65 00:02:30,951 --> 00:02:33,619 How powerful is this? 66 00:02:33,621 --> 00:02:36,555 Could we change and mold life at our command? 67 00:02:37,892 --> 00:02:40,592 Could we bring extinct creatures back from the dead? 68 00:02:40,594 --> 00:02:42,061 (woolly mammoth growling, roaring) 69 00:02:42,063 --> 00:02:45,330 How much power do we really have over life? 70 00:02:45,332 --> 00:02:46,432 (giggles) 71 00:02:46,434 --> 00:02:48,434 And are we ready to use it wisely? 72 00:02:50,337 --> 00:02:51,670 I'm André Fenton. 73 00:02:51,672 --> 00:02:53,205 I'm Rana el Kaliouby. 74 00:02:53,207 --> 00:02:55,174 I'm Talithia Williams. 75 00:02:55,176 --> 00:02:58,077 And in this episode, "NOVA Wonders"-- 76 00:02:58,079 --> 00:02:59,144 (tiger growls) 77 00:02:59,146 --> 00:03:01,480 "Can We Make Life?" 78 00:03:01,482 --> 00:03:03,148 ♪ ♪ 79 00:03:03,150 --> 00:03:04,850 (crying) 80 00:03:09,690 --> 00:03:11,824 15,000 years ago, 81 00:03:11,826 --> 00:03:13,826 the biggest thing on four legs 82 00:03:13,828 --> 00:03:16,328 was this guy-- the mammoth. 83 00:03:16,330 --> 00:03:18,564 (mammoth growling) 84 00:03:18,566 --> 00:03:20,766 These eight-ton giants 85 00:03:20,768 --> 00:03:23,035 threw their weight around, from the steppes of Europe 86 00:03:23,037 --> 00:03:26,972 to the plains of North America, 87 00:03:26,974 --> 00:03:29,975 until they vanished from the face of the earth. 88 00:03:32,213 --> 00:03:33,712 SHAPIRO: From the paleontological record, 89 00:03:33,714 --> 00:03:36,348 the best guess is that there were many mammoths, 90 00:03:36,350 --> 00:03:38,283 potentially hundreds of thousands, 91 00:03:38,285 --> 00:03:39,852 even to millions of mammoths. 92 00:03:39,854 --> 00:03:44,189 WILLIAMS: Evolutionary biologist Beth Shapiro 93 00:03:44,191 --> 00:03:45,524 deciphers the DNA-- 94 00:03:45,526 --> 00:03:48,760 the genetic code-- of ancient animals, 95 00:03:48,762 --> 00:03:52,064 like the Ice Age mammoths discovered here 96 00:03:52,066 --> 00:03:54,233 in Hot Springs, South Dakota. 97 00:03:54,235 --> 00:03:58,770 It's a absolutely unique site, really amazing. 98 00:03:58,772 --> 00:04:00,672 This is a ancient sinkhole 99 00:04:00,674 --> 00:04:02,107 where lots of mammoths 100 00:04:02,109 --> 00:04:04,176 would have wandered up into a lake to have a drink 101 00:04:04,178 --> 00:04:07,379 and once got stuck, not been able to get out. 102 00:04:07,381 --> 00:04:09,581 There are about 60 mammoths that are in this site 103 00:04:09,583 --> 00:04:11,617 in a pretty tightly condensed 104 00:04:11,619 --> 00:04:14,019 little geographic area. 105 00:04:14,021 --> 00:04:18,957 WILLIAMS: These animals died at least 26,000 years ago, 106 00:04:18,959 --> 00:04:22,060 before people came to North America. 107 00:04:22,062 --> 00:04:23,829 When human hunters did show up, 108 00:04:23,831 --> 00:04:26,798 mammoths wouldn't stand a chance. 109 00:04:26,800 --> 00:04:28,367 SHAPIRO: People might have been 110 00:04:28,369 --> 00:04:30,802 that proverbial straw that breaks the camel's back. 111 00:04:30,804 --> 00:04:32,104 These animals were in trouble 112 00:04:32,106 --> 00:04:33,605 because the climate was changing, 113 00:04:33,607 --> 00:04:35,774 because there wasn't enough habitat available to them, 114 00:04:35,776 --> 00:04:37,276 just not enough to eat. 115 00:04:37,278 --> 00:04:40,612 And then just at that really worst moment, people turned up. 116 00:04:42,283 --> 00:04:44,216 WILLIAMS: Pretty soon, all the mammoths, 117 00:04:44,218 --> 00:04:47,019 including the iconic woolly mammoth 118 00:04:47,021 --> 00:04:48,554 that loved colder climates, 119 00:04:48,556 --> 00:04:52,724 would go extinct, gone forever. 120 00:04:52,726 --> 00:04:54,660 Or are they? 121 00:04:54,662 --> 00:04:57,296 ♪ ♪ 122 00:04:57,298 --> 00:04:59,097 If George Church has his way, 123 00:04:59,099 --> 00:05:00,799 he will bring the woolly mammoth 124 00:05:00,801 --> 00:05:05,103 back from the dead to roam the earth once again. 125 00:05:06,373 --> 00:05:08,907 Kind of tall and woolly like a mammoth himself, 126 00:05:08,909 --> 00:05:10,576 George is one of the world's 127 00:05:10,578 --> 00:05:13,312 most inventive genetic scientists. 128 00:05:14,682 --> 00:05:17,883 He once coded his latest book in DNA 129 00:05:17,885 --> 00:05:20,485 and brought it on this piece of paper 130 00:05:20,487 --> 00:05:22,221 to the Stephen Colbert show. 131 00:05:22,223 --> 00:05:24,122 They took the book, including the photographs... 132 00:05:24,124 --> 00:05:25,357 Yes? 133 00:05:25,359 --> 00:05:28,293 Zeroes and ones-- converted to A, C, Gs and Ts. 134 00:05:28,295 --> 00:05:29,561 Which is the code of DNA, 135 00:05:29,563 --> 00:05:32,631 Put a little drop that contains some DNA in there. 136 00:05:32,633 --> 00:05:33,632 That's right. 137 00:05:33,634 --> 00:05:35,534 So this piece of paper right there 138 00:05:35,536 --> 00:05:39,171 contains 20 million copies of this book. 139 00:05:39,173 --> 00:05:40,339 That's right. 140 00:05:42,509 --> 00:05:45,410 (laughter) 141 00:05:45,412 --> 00:05:48,714 Well, Dr. George Church... 142 00:05:48,716 --> 00:05:50,549 WILLIAMS: But can this genetic magician 143 00:05:50,551 --> 00:05:54,019 possibly resurrect a long-dead woolly mammoth? 144 00:05:54,021 --> 00:05:56,788 CHURCH: Every species on the planet 145 00:05:56,790 --> 00:06:00,292 comes from a cell with a genome, and that means 146 00:06:00,294 --> 00:06:03,395 you can change it to almost anything you want. 147 00:06:03,397 --> 00:06:04,896 WILLIAMS: George is like 148 00:06:04,898 --> 00:06:07,399 the fictional scientists from "Jurassic Park." 149 00:06:07,401 --> 00:06:10,602 They "de-extincted" dinosaurs 150 00:06:10,604 --> 00:06:14,373 by implanting their DNA into ostrich eggs. 151 00:06:14,375 --> 00:06:16,575 Come on, little one, come on... 152 00:06:16,577 --> 00:06:21,013 WILLIAMS: The baby dinosaurs that hatched were cute at first, 153 00:06:21,015 --> 00:06:22,614 and then they weren't. 154 00:06:22,616 --> 00:06:25,083 (roaring) 155 00:06:25,085 --> 00:06:26,585 Despite the movie's dubious science, 156 00:06:26,587 --> 00:06:30,656 George's de-extinction idea is not very different, 157 00:06:30,658 --> 00:06:34,926 And, fortunately, his creatures are vegetarians. 158 00:06:37,765 --> 00:06:41,233 George's real life plan is to take mammoth genes 159 00:06:41,235 --> 00:06:43,602 decoded from ancient remains 160 00:06:43,604 --> 00:06:48,640 and implant them into the embryo of a live Asian elephant. 161 00:06:48,642 --> 00:06:51,476 CHURCH: They're very closely related to the mammoths. 162 00:06:51,478 --> 00:06:52,544 Even though they don't look that way, 163 00:06:52,546 --> 00:06:54,813 they're genetically very similar. 164 00:06:54,815 --> 00:06:56,415 WILLIAMS: And then he hopes 165 00:06:56,417 --> 00:06:59,384 the Asian elephant's new baby will come out woolier 166 00:06:59,386 --> 00:07:02,454 and more mammoth-like than this one. 167 00:07:02,456 --> 00:07:05,724 At least, that's the plan. 168 00:07:05,726 --> 00:07:09,561 Why would anyone think they could reverse evolution 169 00:07:09,563 --> 00:07:12,864 and bring an extinct creature back to life? 170 00:07:12,866 --> 00:07:14,099 (mammoth growls) 171 00:07:14,101 --> 00:07:16,301 The answer lies deep inside 172 00:07:16,303 --> 00:07:20,639 almost every living cell in your body-- 173 00:07:20,641 --> 00:07:22,708 in your DNA. 174 00:07:22,710 --> 00:07:26,111 One of the wonders of DNA is how simple it is-- 175 00:07:26,113 --> 00:07:29,681 a double string made of four chemicals 176 00:07:29,683 --> 00:07:31,983 usually known by their initials: 177 00:07:31,985 --> 00:07:35,687 A, T, C, and G. 178 00:07:35,689 --> 00:07:38,623 Strings of these letters form genes, 179 00:07:38,625 --> 00:07:41,293 the coded instructions that tell a cell 180 00:07:41,295 --> 00:07:43,028 to build specific proteins. 181 00:07:43,030 --> 00:07:47,966 Arrange the letters one way, and you'll get keratin. 182 00:07:47,968 --> 00:07:49,301 It's not just a hair treatment. 183 00:07:49,303 --> 00:07:52,771 It's the main protein making up our hair, 184 00:07:52,773 --> 00:07:55,340 skin, and fingernails. 185 00:07:55,342 --> 00:08:00,946 Switch the order of the letters, and you could get ricin, 186 00:08:00,948 --> 00:08:03,615 a protein made in the seeds of a castor oil plant, 187 00:08:03,617 --> 00:08:08,019 and to a human, extremely poisonous. 188 00:08:08,021 --> 00:08:11,423 DNA and the order of its letters 189 00:08:11,425 --> 00:08:14,626 are the instructions that turn a fertilized egg 190 00:08:14,628 --> 00:08:19,765 into a flounder, a frog, or a fly. 191 00:08:19,767 --> 00:08:24,469 The quest to use DNA to control and manipulate life 192 00:08:24,471 --> 00:08:26,772 began over 40 years ago 193 00:08:26,774 --> 00:08:29,708 on creatures a whole lot smaller than elephants 194 00:08:29,710 --> 00:08:33,078 in an attempt to treat a deadly disease. 195 00:08:33,080 --> 00:08:37,282 In the 1970s, Herb Boyer 196 00:08:37,284 --> 00:08:41,553 and Stanley Cohen began using new DNA technology 197 00:08:41,555 --> 00:08:42,954 to see if they could coax 198 00:08:42,956 --> 00:08:45,223 common E. coli bacteria 199 00:08:45,225 --> 00:08:49,294 into producing human insulin protein. 200 00:08:49,296 --> 00:08:51,863 People with diabetes don't produce enough insulin 201 00:08:51,865 --> 00:08:54,566 to help their bodies absorb sugar and other nutrients 202 00:08:54,568 --> 00:08:58,503 and will die without injecting it. 203 00:08:58,505 --> 00:09:02,474 Before the 1970s, insulin was extracted 204 00:09:02,476 --> 00:09:05,243 from cattle and pigs. 205 00:09:05,245 --> 00:09:08,647 Unfortunately, insulin from these animal sources 206 00:09:08,649 --> 00:09:12,384 sometimes caused severe allergic reactions. 207 00:09:12,386 --> 00:09:17,456 But the Boyer team was about to change that. 208 00:09:17,458 --> 00:09:21,026 Their idea was to engineer E. coli bacteria 209 00:09:21,028 --> 00:09:24,496 by first cutting its genetic material with enzymes 210 00:09:24,498 --> 00:09:26,932 and then inserting a synthetic version 211 00:09:26,934 --> 00:09:31,169 of the human insulin-coding gene into the gap. 212 00:09:31,171 --> 00:09:33,438 Amazingly, the altered bacteria 213 00:09:33,440 --> 00:09:37,075 not only copied the human gene whenever it divided, 214 00:09:37,077 --> 00:09:39,678 they produced human insulin-- 215 00:09:39,680 --> 00:09:44,716 a lifesaver for diabetics ever since. 216 00:09:44,718 --> 00:09:46,852 ARTHUR CAPLAN: I found it amazing 217 00:09:46,854 --> 00:09:51,590 as a non-biologist that you could trick a tiny microbe 218 00:09:51,592 --> 00:09:54,159 into making something that it doesn't naturally make 219 00:09:54,161 --> 00:09:56,361 and reorient it to make something that we want. 220 00:09:58,599 --> 00:10:01,733 WILLIAMS: Here in a biochemical lab at M.I.T.... 221 00:10:01,735 --> 00:10:03,802 We actually should go back and reduce... 222 00:10:03,804 --> 00:10:05,337 WILLIAMS: Kristala Jones-Prather 223 00:10:05,339 --> 00:10:07,739 leads a team that is also altering 224 00:10:07,741 --> 00:10:09,541 the genes of microbes 225 00:10:09,543 --> 00:10:14,045 to make proteins and chemicals that are useful to us. 226 00:10:14,047 --> 00:10:15,413 KRISTALA JONES-PRATHER: You can actually look at 227 00:10:15,415 --> 00:10:17,816 those individual cells as little factories. 228 00:10:17,818 --> 00:10:22,220 If you shrunk yourself down to the size of a molecule, 229 00:10:22,222 --> 00:10:25,190 you would just see lots and lots of chemical reactions. 230 00:10:26,894 --> 00:10:29,828 WILLIAMS: But you need trillions of organisms to produce 231 00:10:29,830 --> 00:10:34,566 enough of these tiny chemicals to be useful commercially. 232 00:10:36,169 --> 00:10:38,336 So today, biotech companies 233 00:10:38,338 --> 00:10:42,173 use giant fermenters filled with microorganisms 234 00:10:42,175 --> 00:10:46,111 to pump out a slew of bio products, 235 00:10:46,113 --> 00:10:51,416 all thanks to our ability to manipulate DNA. 236 00:10:51,418 --> 00:10:52,817 JONES-PRATHER: The key observation 237 00:10:52,819 --> 00:10:55,720 that really fueled the entire biotech industry 238 00:10:55,722 --> 00:10:59,658 was recognizing that DNA is really just a chemical. 239 00:10:59,660 --> 00:11:01,459 And the structure is what matters, 240 00:11:01,461 --> 00:11:03,795 and so it doesn't matter if that DNA 241 00:11:03,797 --> 00:11:06,698 came from a horse or a mouse 242 00:11:06,700 --> 00:11:09,000 or something you dug off the bottom of your shoe, 243 00:11:09,002 --> 00:11:10,936 the DNA is still just the DNA. 244 00:11:12,239 --> 00:11:14,506 WILLIAMS: Today, production facilities 245 00:11:14,508 --> 00:11:16,074 not only make bio-products, 246 00:11:16,076 --> 00:11:20,111 they make synthetic DNA and can even process 247 00:11:20,113 --> 00:11:21,413 the four basic chemicals 248 00:11:21,415 --> 00:11:25,684 into an exact genetic sequence you can order online. 249 00:11:25,686 --> 00:11:27,852 You'd go to a website for a company, 250 00:11:27,854 --> 00:11:29,454 a DNA synthesis company, 251 00:11:29,456 --> 00:11:31,356 and you'd submit to that website this... 252 00:11:31,358 --> 00:11:32,857 the sequence of DNA you want. 253 00:11:32,859 --> 00:11:37,596 NILLI OSTROV: We can take the entire gene sequence and copy, 254 00:11:37,598 --> 00:11:41,366 and then put it in an order sheet. 255 00:11:41,368 --> 00:11:43,902 You can say T-A-A-T-A-C-G-A 256 00:11:43,904 --> 00:11:45,971 C-T-C-A-C-T-A-T A-G-G-G-A-G-A. 257 00:11:45,973 --> 00:11:47,272 Give them a credit card number. 258 00:11:47,274 --> 00:11:48,974 Order this DNA. 259 00:11:48,976 --> 00:11:50,175 They'll print that DNA 260 00:11:50,177 --> 00:11:51,309 and put it in an envelope and mail it to you. 261 00:11:51,311 --> 00:11:53,311 OSTROV: We get the gene back 262 00:11:53,313 --> 00:11:55,714 in a tube in about a day or two. 263 00:11:55,716 --> 00:11:58,750 It's DNA that is made from scratch 264 00:11:58,752 --> 00:12:00,619 by the machine. 265 00:12:00,621 --> 00:12:02,454 This is a bottle is full of the letter A. 266 00:12:02,456 --> 00:12:05,857 Not the letter in the alphabet, but the base of DNA. 267 00:12:05,859 --> 00:12:07,525 There's ten grams of stuff in here, 268 00:12:07,527 --> 00:12:09,561 and it costs about $250 for the bottle. 269 00:12:09,563 --> 00:12:12,864 This is enough material to make approximately 30 copies 270 00:12:12,866 --> 00:12:16,368 of every human genome on the planet. 271 00:12:16,370 --> 00:12:17,736 EL KALIOUBY: So think about what this means. 272 00:12:17,738 --> 00:12:20,071 All the convenience of online shopping. 273 00:12:20,073 --> 00:12:24,809 Just like I can custom order a car. 274 00:12:24,811 --> 00:12:27,012 Do I want the silver? 275 00:12:27,014 --> 00:12:29,047 Or the red? 276 00:12:29,049 --> 00:12:30,782 Or build my own pizza. 277 00:12:30,784 --> 00:12:34,152 Extra cheese... 278 00:12:34,154 --> 00:12:35,186 Mushrooms. 279 00:12:35,188 --> 00:12:37,956 Definitely not anchovies. 280 00:12:37,958 --> 00:12:40,258 Perfect. 281 00:12:40,260 --> 00:12:43,261 Along with all the stuff you can buy online, 282 00:12:43,263 --> 00:12:46,398 amazingly, you can custom order actual DNA. 283 00:12:46,400 --> 00:12:49,467 So now, with a credit card and a computer, 284 00:12:49,469 --> 00:12:52,837 not only can you build your own jeans, 285 00:12:52,839 --> 00:12:56,708 you can build your own genes. 286 00:12:56,710 --> 00:12:58,910 WILLIAMS: Our ability to build and manipulate 287 00:12:58,912 --> 00:13:01,046 the genes that control life 288 00:13:01,048 --> 00:13:04,282 means we now have the power to remake life. 289 00:13:06,386 --> 00:13:09,654 And this young scientist is trying to prove it 290 00:13:09,656 --> 00:13:12,390 with one of the most daring genetic experiments 291 00:13:12,392 --> 00:13:14,225 on the planet. 292 00:13:14,227 --> 00:13:17,228 Kevin Esvelt wants to stop a growing menace 293 00:13:17,230 --> 00:13:19,698 on Nantucket and Martha's Vineyard, 294 00:13:19,700 --> 00:13:23,668 beautiful island communities off the coast of Massachusetts. 295 00:13:23,670 --> 00:13:26,604 (gulls crying) 296 00:13:26,606 --> 00:13:28,640 On the surface, you wouldn't notice 297 00:13:28,642 --> 00:13:31,142 anything especially scary on Nantucket. 298 00:13:31,144 --> 00:13:34,646 Tourists flock here, 299 00:13:34,648 --> 00:13:36,648 and others live year-round 300 00:13:36,650 --> 00:13:38,516 to enjoy the beauty, fun, 301 00:13:38,518 --> 00:13:40,585 and comforts of island life. 302 00:13:42,823 --> 00:13:44,389 What they don't come for, 303 00:13:44,391 --> 00:13:49,427 but often get anyway, is Lyme disease. 304 00:13:49,429 --> 00:13:52,330 Devin, why don't you come on down. 305 00:13:52,332 --> 00:13:53,998 WILLIAMS: Dr. Timothy Lepore 306 00:13:54,000 --> 00:13:55,400 is a 30-year veteran 307 00:13:55,402 --> 00:13:58,470 of treating Lyme disease on Nantucket. 308 00:13:58,472 --> 00:14:00,171 In the spring and summer on Nantucket, if I see 309 00:14:00,173 --> 00:14:03,274 somebody like that, that's Lyme disease. 310 00:14:03,276 --> 00:14:05,543 WILLIAMS: Lyme is a bacterial infection 311 00:14:05,545 --> 00:14:07,278 that often starts with a rash 312 00:14:07,280 --> 00:14:11,750 where a person has been bitten by an infected tick. 313 00:14:11,752 --> 00:14:13,118 You get rashes... 314 00:14:13,120 --> 00:14:14,185 WILLIAMS: Most people can be cured 315 00:14:14,187 --> 00:14:16,621 with antibiotics that eliminate the rash, 316 00:14:16,623 --> 00:14:20,291 fever, and joint pain within a few days. 317 00:14:20,293 --> 00:14:22,160 LEPORE: When we treated you, you got better. 318 00:14:22,162 --> 00:14:23,394 Yep. 319 00:14:23,396 --> 00:14:25,864 And then the next day, it had the ring around it. 320 00:14:25,866 --> 00:14:28,566 WILLIAMS: But not everyone recovers so quickly. 321 00:14:28,568 --> 00:14:30,335 LEPORE: People that have had 322 00:14:30,337 --> 00:14:34,072 long-standing Lyme disease may have some persistent issues. 323 00:14:34,074 --> 00:14:37,075 If you wait, you can have delayed symptoms 324 00:14:37,077 --> 00:14:38,376 like complete heart block, 325 00:14:38,378 --> 00:14:42,580 where your heart starts beating 20 to 30 times a minute, 326 00:14:42,582 --> 00:14:44,249 or you can have a facial palsy 327 00:14:44,251 --> 00:14:46,451 where it looks like one side of your face is paralyzed. 328 00:14:46,453 --> 00:14:48,386 Come on in. 329 00:14:48,388 --> 00:14:49,788 KEVIN ESVELT: Lyme is the single most common 330 00:14:49,790 --> 00:14:52,624 infectious vector-borne disease in the United States. 331 00:14:52,626 --> 00:14:54,025 It's way more common than Zika. 332 00:14:54,027 --> 00:14:56,561 It's way more common than West Nile, anything like that. 333 00:14:56,563 --> 00:14:58,496 The areas of Nantucket and Martha's Vineyard 334 00:14:58,498 --> 00:15:01,032 are number two and number three when it comes to incidence 335 00:15:01,034 --> 00:15:02,467 of tick-borne disease in the United States. 336 00:15:02,469 --> 00:15:06,137 WILLIAMS: Kevin Esvelt is on a mission 337 00:15:06,139 --> 00:15:08,406 to eradicate Lyme disease. 338 00:15:08,408 --> 00:15:11,843 And for him, these Massachusetts islands 339 00:15:11,845 --> 00:15:14,212 are the perfect places to start. 340 00:15:16,683 --> 00:15:20,185 This pocket of dense vegetation is typical of Nantucket 341 00:15:20,187 --> 00:15:22,520 and the rest of the Northeast. 342 00:15:22,522 --> 00:15:23,922 Try to find an easy way out. 343 00:15:23,924 --> 00:15:28,193 WILLIAMS: Sam Telford is working with Kevin. 344 00:15:28,195 --> 00:15:30,695 An expert on ticks and tick-borne diseases, 345 00:15:30,697 --> 00:15:34,799 Sam's diving into this brush because he knows it's literally 346 00:15:34,801 --> 00:15:37,168 crawling with ticks for him to study. 347 00:15:37,170 --> 00:15:40,271 Dragging a white furry cloth, 348 00:15:40,273 --> 00:15:42,473 Sam is hoping to catch ticks 349 00:15:42,475 --> 00:15:45,143 that think the cloth is an animal. 350 00:15:45,145 --> 00:15:48,046 SAM TELFORD: Ticks are what we call ambush predators. 351 00:15:48,048 --> 00:15:50,148 They sit there on a blade of grass 352 00:15:50,150 --> 00:15:52,283 and they've got their front legs sticking out, 353 00:15:52,285 --> 00:15:54,886 and then as you walk by, 354 00:15:54,888 --> 00:15:58,389 they'll latch on to something they think is furry. 355 00:15:58,391 --> 00:16:00,124 There is one here. 356 00:16:01,561 --> 00:16:03,428 WILLIAMS: This is a tick in an early stage, 357 00:16:03,430 --> 00:16:05,163 when it's very tiny. 358 00:16:05,899 --> 00:16:06,965 No one who gets Lyme disease 359 00:16:06,967 --> 00:16:08,800 recalls that they were bitten by a tick 360 00:16:08,802 --> 00:16:10,268 simply because of their small size. 361 00:16:10,270 --> 00:16:12,303 How on earth are you going to see something that small? 362 00:16:12,305 --> 00:16:15,773 WILLIAMS: Humans get Lyme disease from ticks. 363 00:16:15,775 --> 00:16:19,944 But ticks are not born with Lyme bacteria. 364 00:16:19,946 --> 00:16:24,849 They get it by feeding on this innocent-looking critter-- 365 00:16:24,851 --> 00:16:26,184 the white-footed mouse 366 00:16:26,186 --> 00:16:29,888 that carries Lyme bacteria in its blood. 367 00:16:29,890 --> 00:16:33,825 And another innocent-looking creature, the deer, 368 00:16:33,827 --> 00:16:37,762 is a crucial link in the chain of transmission to us. 369 00:16:37,764 --> 00:16:41,099 Baby ticks will often feed on mice 370 00:16:41,101 --> 00:16:43,201 that are close to the ground. 371 00:16:43,203 --> 00:16:46,671 This is when they get the Lyme bacteria. 372 00:16:46,673 --> 00:16:48,573 As the ticks grow, they will feed 373 00:16:48,575 --> 00:16:52,877 on other mice, deer, or people, 374 00:16:52,879 --> 00:16:55,847 passing the Lyme bacteria with each bite. 375 00:16:55,849 --> 00:16:58,416 But only people get the disease. 376 00:16:58,418 --> 00:17:02,287 A single deer is like an all-you-can-eat buffet. 377 00:17:02,289 --> 00:17:03,421 They live in the woods 378 00:17:03,423 --> 00:17:06,357 and can't easily scratch ticks off. 379 00:17:06,359 --> 00:17:08,660 So female ticks become engorged, 380 00:17:08,662 --> 00:17:12,830 drop off, lay eggs, and the cycle starts again. 381 00:17:12,832 --> 00:17:18,670 ESVELT: The typical deer has several thousand ticks attached to it. 382 00:17:18,672 --> 00:17:23,474 And the females will each lay several thousand eggs. 383 00:17:23,476 --> 00:17:26,644 So when you see a deer wandering around through the woods, 384 00:17:26,646 --> 00:17:29,347 you can think, "That is the walking equivalent 385 00:17:29,349 --> 00:17:31,582 of a million ticks in the next generation." 386 00:17:31,584 --> 00:17:34,619 WILLIAMS: But people adore seeing deer 387 00:17:34,621 --> 00:17:36,888 and don't want them removed. 388 00:17:36,890 --> 00:17:39,924 Could it be childhood memories of Bambi? 389 00:17:39,926 --> 00:17:41,626 ESVELT: It is Bambi. (laughs) 390 00:17:41,628 --> 00:17:42,727 We like seeing deer. 391 00:17:42,729 --> 00:17:44,595 So, because there are so many more deer 392 00:17:44,597 --> 00:17:48,232 than there have ever been before, historically, 393 00:17:48,234 --> 00:17:51,936 there are many more ticks than there have ever been before. 394 00:17:53,540 --> 00:17:56,774 WILLIAMS: Now, deer shed ticks in our lawn clippings, 395 00:17:56,776 --> 00:17:58,643 garden plots, 396 00:17:58,645 --> 00:18:00,745 recreation areas, 397 00:18:00,747 --> 00:18:02,880 and if they carry the Lyme bacteria, 398 00:18:02,882 --> 00:18:05,516 they can give it to us. 399 00:18:05,518 --> 00:18:07,218 Here on Nantucket, 400 00:18:07,220 --> 00:18:10,521 40% of residents have caught Lyme disease. 401 00:18:10,523 --> 00:18:13,191 And it's not the only tick-borne disease 402 00:18:13,193 --> 00:18:15,059 they have to worry about. 403 00:18:15,061 --> 00:18:17,962 TELFORD: There's an infection called Nantucket fever 404 00:18:17,964 --> 00:18:20,064 or human babesiosis, 405 00:18:20,066 --> 00:18:23,668 which was first identified here in 1969. 406 00:18:23,670 --> 00:18:28,506 It's a malaria-like infection and it actually kills people. 407 00:18:28,508 --> 00:18:33,144 WILLIAMS: There are four serious tick-carried diseases 408 00:18:33,146 --> 00:18:34,145 on the island, 409 00:18:34,147 --> 00:18:36,781 with Lyme by far the most common. 410 00:18:36,783 --> 00:18:40,752 But it's not just these tiny islands. 411 00:18:40,754 --> 00:18:42,086 Mice, deer, and ticks 412 00:18:42,088 --> 00:18:46,457 have spread Lyme disease throughout the northeast U.S. 413 00:18:46,459 --> 00:18:50,128 Almost anyone in the region who ventures outdoors-- 414 00:18:50,130 --> 00:18:53,598 not just into the woods, but in suburbs, too-- 415 00:18:53,600 --> 00:18:56,367 is putting themselves at risk. 416 00:18:56,369 --> 00:18:59,003 (exclaims) 417 00:18:59,906 --> 00:19:01,472 WILLIAMS: For Kevin Esvelt, 418 00:19:01,474 --> 00:19:03,741 it's a risk people should not have to take, 419 00:19:03,743 --> 00:19:07,045 especially with their kids. 420 00:19:08,415 --> 00:19:10,615 ESVELT: I'm from the west coast, 421 00:19:10,617 --> 00:19:14,519 and there we have ticks, but they're so rare 422 00:19:14,521 --> 00:19:17,422 that I spent my childhood running around through the woods 423 00:19:17,424 --> 00:19:20,925 and never once got bitten by a tick, 424 00:19:20,927 --> 00:19:21,959 not once. 425 00:19:21,961 --> 00:19:24,228 Come on, down the slide. 426 00:19:24,230 --> 00:19:25,496 Whoa! 427 00:19:25,498 --> 00:19:27,065 ESVELT: I have two kids. 428 00:19:27,067 --> 00:19:29,767 It's just terrible that we have to be wary of them 429 00:19:29,769 --> 00:19:32,403 just running in the woods. 430 00:19:32,405 --> 00:19:34,739 So, the notion that you can wander out here 431 00:19:34,741 --> 00:19:36,340 through some of the worst areas, 432 00:19:36,342 --> 00:19:39,510 and end up with lots of ticks on you is just... 433 00:19:39,512 --> 00:19:40,745 well, it's frankly horrifying. 434 00:19:40,747 --> 00:19:43,181 All right, so I have 40 traps out in this site. 435 00:19:43,183 --> 00:19:47,518 WILLIAMS: Kevin has a plan to make the outdoors safe again. 436 00:19:47,520 --> 00:19:50,755 The mice seem to be wary today. 437 00:19:50,757 --> 00:19:52,557 WILLIAMS: He believes he can get rid of Lyme disease 438 00:19:52,559 --> 00:19:55,693 by genetically altering the white-footed mice 439 00:19:55,695 --> 00:19:57,595 that carry it. 440 00:19:57,597 --> 00:20:01,065 And if that goes well, he hopes to edit their DNA 441 00:20:01,067 --> 00:20:04,702 so they could resist ticks entirely. 442 00:20:04,704 --> 00:20:07,171 Oh, looks like we've got one 443 00:20:07,173 --> 00:20:08,506 to take back. 444 00:20:08,508 --> 00:20:09,574 ESVELT: Enlisting mice 445 00:20:09,576 --> 00:20:12,243 in the war against tick-borne disease 446 00:20:12,245 --> 00:20:15,113 would just be an amazing proposition. 447 00:20:15,115 --> 00:20:18,816 I'm counting 18 on the ears. 448 00:20:18,818 --> 00:20:21,052 WILLIAMS: The number of ticks is astounding, 449 00:20:21,054 --> 00:20:23,721 especially on its ears. 450 00:20:23,723 --> 00:20:26,958 And if this mouse has the Lyme bacteria, all the ticks 451 00:20:26,960 --> 00:20:32,563 will become infected and can transmit the disease to us. 452 00:20:32,565 --> 00:20:37,702 Kevin's plan is to make the mice resistant to Lyme bacteria 453 00:20:37,704 --> 00:20:40,004 with the help of genetic engineering's 454 00:20:40,006 --> 00:20:43,508 most exciting and powerful tool-- CRISPR. 455 00:20:46,179 --> 00:20:47,311 CRISPR stands for clustered 456 00:20:47,313 --> 00:20:49,680 regularly interspaced 457 00:20:49,682 --> 00:20:51,949 short palindromic repeats. 458 00:20:51,951 --> 00:20:53,718 (crowd groans) 459 00:20:53,720 --> 00:20:55,720 That's why it's just called "CRISPR." 460 00:20:57,157 --> 00:20:59,323 First discovered in bacteria, 461 00:20:59,325 --> 00:21:02,860 CRISPRs are like bacterial immune systems. 462 00:21:02,862 --> 00:21:05,129 They have two key parts-- 463 00:21:05,131 --> 00:21:09,767 a destroyer protein, like one called Cas9, 464 00:21:09,769 --> 00:21:12,436 and a piece of RNA that matches viruses 465 00:21:12,438 --> 00:21:15,940 that previously infected the bacteria. 466 00:21:15,942 --> 00:21:18,709 If the same virus were to invade again, 467 00:21:18,711 --> 00:21:22,513 the RNA would recognize the invader's DNA, 468 00:21:22,515 --> 00:21:25,216 attach itself to its old enemy, 469 00:21:25,218 --> 00:21:30,922 and its Cas partner would slice the virus's DNA, destroying it. 470 00:21:30,924 --> 00:21:34,392 A few years ago, some researchers realized 471 00:21:34,394 --> 00:21:35,560 they could use CRISPR 472 00:21:35,562 --> 00:21:38,062 to edit the genome of any living organism. 473 00:21:38,064 --> 00:21:40,331 Here's the idea. 474 00:21:40,333 --> 00:21:42,266 Say I have a stretch of DNA, 475 00:21:42,268 --> 00:21:44,268 maybe a part of a gene I'd like to change. 476 00:21:44,270 --> 00:21:47,838 If I know the sequence of letters there, 477 00:21:47,840 --> 00:21:51,809 I can build a CRISPR that carries a matching code. 478 00:21:51,811 --> 00:21:55,613 Once inside the cell, CRISPR will scan the DNA 479 00:21:55,615 --> 00:21:58,115 until it finds that exact spot. 480 00:21:58,117 --> 00:22:02,386 And when it does, it slices the DNA right there. 481 00:22:03,389 --> 00:22:06,657 Now I have a broken gene, but it turns out 482 00:22:06,659 --> 00:22:11,095 I can insert a new sequence into the gap, 483 00:22:11,097 --> 00:22:13,965 and that makes CRISPR potentially 484 00:22:13,967 --> 00:22:18,636 an extremely powerful tool. 485 00:22:18,638 --> 00:22:20,938 CRISPR Cas engineering is much faster, 486 00:22:20,940 --> 00:22:23,474 it's much less expensive, and it's much easier to make 487 00:22:23,476 --> 00:22:24,976 those changes you want to make. 488 00:22:24,978 --> 00:22:27,612 The really significant revolution 489 00:22:27,614 --> 00:22:29,547 with CRIPSR Cas9 is that, 490 00:22:29,549 --> 00:22:32,216 as far as I can tell, it pretty much works 491 00:22:32,218 --> 00:22:35,486 in any organism that you try it in. 492 00:22:37,123 --> 00:22:38,623 WILLIAMS: And M.I.T.'s Kevin Esvelt 493 00:22:38,625 --> 00:22:42,693 wants to use CRISPR to change the DNA of mice 494 00:22:42,695 --> 00:22:47,231 and make them immune to Lyme bacteria. 495 00:22:47,233 --> 00:22:48,866 ESVELT: The original idea that sparked this 496 00:22:48,868 --> 00:22:51,135 whole process was very simple. 497 00:22:51,137 --> 00:22:52,903 Hey. Hi. 498 00:22:52,905 --> 00:22:54,171 Animals like us, and also mice, 499 00:22:54,173 --> 00:22:55,206 when we get sick with something, 500 00:22:55,208 --> 00:22:58,909 our immune systems evolve an antibody, 501 00:22:58,911 --> 00:23:01,212 often lots and lots of antibodies, 502 00:23:01,214 --> 00:23:02,647 that are really, really good 503 00:23:02,649 --> 00:23:06,817 at telling the immune system "This is the enemy, kill it." 504 00:23:06,819 --> 00:23:11,255 WILLIAMS: But these antibodies do not get passed on to our children. 505 00:23:11,257 --> 00:23:13,624 So we need vaccines 506 00:23:13,626 --> 00:23:17,962 to give us antibodies against certain diseases. 507 00:23:17,964 --> 00:23:20,398 But there is no human Lyme vaccine. 508 00:23:20,400 --> 00:23:23,467 And even if there was one for mice, 509 00:23:23,469 --> 00:23:26,270 he couldn't just line them up for shots. 510 00:23:26,272 --> 00:23:30,908 So instead, Kevin wants to give them a genetic vaccine. 511 00:23:30,910 --> 00:23:33,844 Here's how that would work. 512 00:23:33,846 --> 00:23:36,881 First, Kevin, with the help of Sam Telford, 513 00:23:36,883 --> 00:23:40,751 infects mice in the lab with Lyme bacteria. 514 00:23:42,488 --> 00:23:44,455 These mice quickly develop 515 00:23:44,457 --> 00:23:48,359 robust, Lyme-resistant antibodies. 516 00:23:48,361 --> 00:23:51,295 Next, the team deciphers the genetic code 517 00:23:51,297 --> 00:23:54,565 that can create those antibodies. 518 00:23:54,567 --> 00:23:57,568 They make this antibody gene in the lab. 519 00:23:57,570 --> 00:24:00,404 And inject it, along with CRISPR genes, 520 00:24:00,406 --> 00:24:04,608 into the developing sperm cells of Sam's lab mice. 521 00:24:04,610 --> 00:24:06,877 There, CRISPR would clear the way 522 00:24:06,879 --> 00:24:10,147 for the new gene to slide into the mouse's genome. 523 00:24:11,984 --> 00:24:16,387 Now, if an engineered male mates with a wild female, 524 00:24:16,389 --> 00:24:19,657 roughly 50% of their babies, boys and girls, 525 00:24:19,659 --> 00:24:22,293 will inherit the Lyme-resistant gene 526 00:24:22,295 --> 00:24:26,097 and begin spreading it to future generations of mice. 527 00:24:26,099 --> 00:24:28,499 That is, if Kevin's plan works. 528 00:24:30,169 --> 00:24:33,070 (ship horn sounds) 529 00:24:33,072 --> 00:24:34,638 But before he can even try, 530 00:24:34,640 --> 00:24:37,074 he'll need Nantucket residents to approve 531 00:24:37,076 --> 00:24:40,945 the release of genetically modified mice, 532 00:24:40,947 --> 00:24:44,014 something many people here worry might backfire 533 00:24:44,016 --> 00:24:47,351 like the disastrous cane toad experiment. 534 00:24:47,353 --> 00:24:49,286 ♪ ♪ 535 00:24:49,288 --> 00:24:54,091 Cane toads were introduced to Australia in the 1930s 536 00:24:54,093 --> 00:24:56,927 to help kill off sugar cane beetles. 537 00:24:56,929 --> 00:25:02,233 But instead, they became a biological wrecking ball. 538 00:25:02,235 --> 00:25:05,503 A foreign species with no natural predators, 539 00:25:05,505 --> 00:25:08,472 they quickly overran the country. 540 00:25:08,474 --> 00:25:11,642 Poisonous to animals, they've killed 541 00:25:11,644 --> 00:25:13,878 countless pets and native species, 542 00:25:13,880 --> 00:25:18,449 disrupted key parts of the country's ecosystem, 543 00:25:18,451 --> 00:25:21,719 and they are now almost impossible to get rid of. 544 00:25:23,856 --> 00:25:25,856 The mice used in Kevin's experiment 545 00:25:25,858 --> 00:25:27,792 will be native, not foreign. 546 00:25:27,794 --> 00:25:29,193 But some people worry 547 00:25:29,195 --> 00:25:31,028 that genetically modifying animals 548 00:25:31,030 --> 00:25:33,764 could spell trouble. 549 00:25:33,766 --> 00:25:35,499 LEPORE: If you fool with Mother Nature, 550 00:25:35,501 --> 00:25:37,101 very often it doesn't turn out well. 551 00:25:37,103 --> 00:25:38,803 So are we going to have mice the size 552 00:25:38,805 --> 00:25:41,572 of boxer dogs, I don't know. 553 00:25:43,142 --> 00:25:44,208 WILLIAMS: As Kevin releases 554 00:25:44,210 --> 00:25:46,911 a wild mouse caught earlier, he hopes 555 00:25:46,913 --> 00:25:49,980 that someday the little creature jumping away 556 00:25:49,982 --> 00:25:53,017 will be resistant to Lyme disease. 557 00:25:53,019 --> 00:25:56,320 But to get that far, he will need 558 00:25:56,322 --> 00:25:58,789 the island's complete trust. 559 00:25:58,791 --> 00:26:00,925 And the jury is still out. 560 00:26:00,927 --> 00:26:03,627 ♪ ♪ 561 00:26:03,629 --> 00:26:06,197 Will people's fear of genetic engineering 562 00:26:06,199 --> 00:26:11,001 prevent Kevin from using this controversial science? 563 00:26:11,003 --> 00:26:12,903 ELEONORE PAUWELS: You know, this is a technology 564 00:26:12,905 --> 00:26:15,473 too powerful for humankind to refuse. 565 00:26:15,475 --> 00:26:16,640 It's going to help us transform 566 00:26:16,642 --> 00:26:19,176 not only our bodies and our genes, 567 00:26:19,178 --> 00:26:21,312 but can give us a chance 568 00:26:21,314 --> 00:26:24,682 to actually play a role in our own evolution. 569 00:26:26,752 --> 00:26:30,054 WILLIAMS: George Church is certainly playing with evolution 570 00:26:30,056 --> 00:26:34,191 by attempting to de-extinct a woolly mammoth. 571 00:26:34,193 --> 00:26:36,160 (growling, trumpeting) 572 00:26:36,162 --> 00:26:40,498 But why does this gene giant even want to do this? 573 00:26:41,667 --> 00:26:43,133 George is one of those people in science 574 00:26:43,135 --> 00:26:45,703 who is just larger than life. 575 00:26:45,705 --> 00:26:50,007 He just wants to be doing those most exciting projects 576 00:26:50,009 --> 00:26:51,909 at the cutting edge of whatever it is. 577 00:26:51,911 --> 00:26:54,445 Wow, that is the coolest dry ice I have ever seen. 578 00:26:54,447 --> 00:26:58,349 WILLIAMS: George's lab is renowned for stretching the limits 579 00:26:58,351 --> 00:27:00,217 of genetic engineering, 580 00:27:00,219 --> 00:27:02,853 from experiments using pigs 581 00:27:02,855 --> 00:27:05,623 to grow human organs for transplantation, 582 00:27:05,625 --> 00:27:09,560 to using bacterial DNA to encode and store data 583 00:27:09,562 --> 00:27:12,329 and even digitize movies. 584 00:27:12,331 --> 00:27:17,801 But the woolly mammoth would be his greatest accomplishment yet. 585 00:27:17,803 --> 00:27:20,938 Seeing a real mammoth again would be amazing. 586 00:27:20,940 --> 00:27:23,607 Or what about sabre tooth tigers, 587 00:27:23,609 --> 00:27:25,376 or giant dodo birds, 588 00:27:25,378 --> 00:27:27,912 even flocks of passenger pigeons? 589 00:27:27,914 --> 00:27:31,982 Bringing back extinct creatures wouldn't just be cool, 590 00:27:31,984 --> 00:27:35,853 we could see how these magnificent animals once lived 591 00:27:35,855 --> 00:27:38,389 and maybe find out how to save today's creatures 592 00:27:38,391 --> 00:27:40,090 from going extinct. 593 00:27:40,092 --> 00:27:42,927 Which is exactly what George Church wants to do 594 00:27:42,929 --> 00:27:44,962 for the Asian elephant. 595 00:27:44,964 --> 00:27:47,164 ♪ ♪ 596 00:27:47,166 --> 00:27:51,135 WILLIAMS: George's plan is to combine the genes of a woolly mammoth 597 00:27:51,137 --> 00:27:53,571 with those of Asian elephants 598 00:27:53,573 --> 00:27:56,840 because making them mammoth-like might save them. 599 00:27:56,842 --> 00:28:01,545 Hunted for their tusks and chased from farmlands, 600 00:28:01,547 --> 00:28:03,747 Asian elephant numbers are shrinking. 601 00:28:03,749 --> 00:28:07,918 But George has a possible solution. 602 00:28:07,920 --> 00:28:09,186 If you gave them access 603 00:28:09,188 --> 00:28:11,488 to one of the largest ecosystems on the planet, 604 00:28:11,490 --> 00:28:13,457 which is the arctic tundra 605 00:28:13,459 --> 00:28:16,226 where their very close relatives used to roam, 606 00:28:16,228 --> 00:28:19,163 that would probably save the species. 607 00:28:19,165 --> 00:28:22,900 WILLIAMS: There's plenty of open, fertile space in the tundra, 608 00:28:22,902 --> 00:28:26,236 but it's too cold for warm-weather elephants 609 00:28:26,238 --> 00:28:28,205 to survive here. 610 00:28:28,207 --> 00:28:30,708 So George's resurrection plan 611 00:28:30,710 --> 00:28:34,378 begins with genetically winterizing Asian elephants 612 00:28:34,380 --> 00:28:38,282 to become more like woolly mammoths, who loved the cold. 613 00:28:41,520 --> 00:28:45,956 The team first identifies the specific genes in modern animals 614 00:28:45,958 --> 00:28:50,461 that code for things like fat or thick hair. 615 00:28:50,463 --> 00:28:52,630 Then they look for their genetic counterparts 616 00:28:52,632 --> 00:28:56,500 in decoded mammoth genomes. 617 00:28:56,502 --> 00:28:58,869 Once they identify the mammoth's "cold" genes, 618 00:28:58,871 --> 00:29:01,672 they make them synthetically, 619 00:29:01,674 --> 00:29:04,508 and insert them into living cells 620 00:29:04,510 --> 00:29:08,646 taken from an Asian elephant to see if they work. 621 00:29:10,583 --> 00:29:12,950 BOBBY DHADWAR: What we're seeing here is green cells-- 622 00:29:12,952 --> 00:29:14,385 these are elephant cells 623 00:29:14,387 --> 00:29:17,154 that we've introduced mammoth DNA into. 624 00:29:17,156 --> 00:29:19,790 The brighter the green that we're seeing 625 00:29:19,792 --> 00:29:22,026 means the more DNA has taken up. 626 00:29:22,028 --> 00:29:26,697 WILLIAMS: In the lab, they've edited about 35 functioning 627 00:29:26,699 --> 00:29:30,901 woolly mammoth genes into the Asian elephant genome. 628 00:29:30,903 --> 00:29:35,406 This is a good start for making a semi woolly mammoth. 629 00:29:35,408 --> 00:29:40,978 But it's the next step that will be the most challenging. 630 00:29:40,980 --> 00:29:42,713 SHAPIRO: There is a huge difference obviously 631 00:29:42,715 --> 00:29:44,815 between a cell growing in a dish in a lab 632 00:29:44,817 --> 00:29:47,151 and a baby mammoth wandering around. 633 00:29:47,153 --> 00:29:50,621 How do I take that cell and turn that into 634 00:29:50,623 --> 00:29:53,424 an actual living, breathing organism? 635 00:29:53,426 --> 00:29:54,758 (elephant trumpets) 636 00:29:54,760 --> 00:29:57,494 WILLIAMS: They could try and fertilize the egg cell 637 00:29:57,496 --> 00:29:59,930 of a captive Asian elephant 638 00:29:59,932 --> 00:30:02,499 with woolly mammoth genes. 639 00:30:02,501 --> 00:30:05,436 But this is difficult. 640 00:30:05,438 --> 00:30:08,205 SHAPIRO: It's very hard for them to get pregnant in captivity. 641 00:30:08,207 --> 00:30:10,174 The pregnancies often don't go to term. 642 00:30:10,176 --> 00:30:13,677 And this is probably has to do with 643 00:30:13,679 --> 00:30:16,113 the psychology of being in captivity. 644 00:30:17,316 --> 00:30:18,982 WILLIAMS: And performing such an operation 645 00:30:18,984 --> 00:30:21,385 on an endangered species like this 646 00:30:21,387 --> 00:30:24,121 may simply be too great a risk. 647 00:30:24,123 --> 00:30:26,390 ♪ ♪ 648 00:30:26,392 --> 00:30:28,659 So George is studying mammals like the platypus 649 00:30:28,661 --> 00:30:31,261 and spiny anteater, whose babies develop 650 00:30:31,263 --> 00:30:34,131 outside a mother's body in an egg. 651 00:30:34,133 --> 00:30:38,869 SHAPIRO: Could he possibly engineer a living mammoth this way? 652 00:30:38,871 --> 00:30:41,605 (cracking) 653 00:30:41,607 --> 00:30:46,844 Can you imagine a baby woolly mammoth hatching out of an egg? 654 00:30:46,846 --> 00:30:48,545 Really? 655 00:30:48,547 --> 00:30:51,715 Not even George has figured out how to do this. 656 00:30:51,717 --> 00:30:55,018 And what would this sort of mammoth be like? 657 00:30:55,020 --> 00:30:56,553 (trumpets) 658 00:30:56,555 --> 00:30:58,922 CAPLAN: I think you're going to get a creature 659 00:30:58,924 --> 00:30:59,890 that's sort of a pseudo mammoth, 660 00:30:59,892 --> 00:31:02,192 not quite the same makeup. 661 00:31:02,194 --> 00:31:05,095 So I think you're going to get a sort of echo of the animal 662 00:31:05,097 --> 00:31:07,064 that once was but not a replica. 663 00:31:07,066 --> 00:31:09,800 So even if we could get to the point 664 00:31:09,802 --> 00:31:11,969 where we could transform this elephant 665 00:31:11,971 --> 00:31:15,072 to a living, breathing baby mammoth, 666 00:31:15,074 --> 00:31:18,542 a question that I have really is should we? 667 00:31:18,544 --> 00:31:22,212 We know that elephants are very social creatures. 668 00:31:22,214 --> 00:31:25,349 They live in herds interacting with each other. 669 00:31:25,351 --> 00:31:27,217 Unless we can get this down in such a way 670 00:31:27,219 --> 00:31:28,318 that we can do 671 00:31:28,320 --> 00:31:30,420 many different individuals at a time, 672 00:31:30,422 --> 00:31:32,856 you're still just going to have one generation to start with, 673 00:31:32,858 --> 00:31:35,659 and that just seems kind of unfair. 674 00:31:35,661 --> 00:31:38,796 WILLIAMS: Although we may never see a mammoth, 675 00:31:38,798 --> 00:31:43,867 George's efforts to identify and make more resilient animal genes 676 00:31:43,869 --> 00:31:46,837 may have a hidden benefit. 677 00:31:46,839 --> 00:31:48,071 SHAPIRO: This technology, 678 00:31:48,073 --> 00:31:50,741 the ability to take genes from the past, 679 00:31:50,743 --> 00:31:53,343 put them into species that are alive today, 680 00:31:53,345 --> 00:31:54,878 has tremendous potential 681 00:31:54,880 --> 00:31:56,647 as a new tool for conservation. 682 00:31:56,649 --> 00:32:00,017 Many of the endangered species and populations 683 00:32:00,019 --> 00:32:02,753 have very little genetic diversity 684 00:32:02,755 --> 00:32:06,256 and that means that they have very little ability 685 00:32:06,258 --> 00:32:07,624 to adapt to rapid climate change, 686 00:32:07,626 --> 00:32:09,193 or if a disease comes in, 687 00:32:09,195 --> 00:32:12,396 and wipes out most of the individuals who are there. 688 00:32:12,398 --> 00:32:15,165 We can use this technology to help species 689 00:32:15,167 --> 00:32:17,401 that are on the brink of extinction today. 690 00:32:20,639 --> 00:32:22,506 But what about us? 691 00:32:22,508 --> 00:32:26,543 We've known for decades that mistakes in our own DNA-- 692 00:32:26,545 --> 00:32:29,913 sometimes just the switching of a letter or two-- 693 00:32:29,915 --> 00:32:32,649 can lead to life-threatening problems. 694 00:32:32,651 --> 00:32:36,186 For example: an "A" instead of a "T" 695 00:32:36,188 --> 00:32:39,990 on just one of our genes causes sickle cell disease, 696 00:32:39,992 --> 00:32:41,925 a lifelong blood disorder. 697 00:32:41,927 --> 00:32:45,462 So, is it possible to harness new technologies 698 00:32:45,464 --> 00:32:48,632 to rewrite our own genetic code? 699 00:32:48,634 --> 00:32:52,870 Could we use this power to save lives? 700 00:32:52,872 --> 00:32:54,571 ♪ ♪ 701 00:32:54,573 --> 00:32:56,173 Doctors and researchers have been trying to do this 702 00:32:56,175 --> 00:33:00,277 for decades, but with limited success. 703 00:33:01,447 --> 00:33:03,780 Dr. David Williams of Boston Children's Hospital 704 00:33:03,782 --> 00:33:07,117 has participated in several gene therapy trials 705 00:33:07,119 --> 00:33:11,255 that invariably ended in disappointment. 706 00:33:11,257 --> 00:33:15,926 DAVID WILLIAMS: We saw a real need for this technology to be developed. 707 00:33:15,928 --> 00:33:18,195 People were then disappointed-- including scientists-- 708 00:33:18,197 --> 00:33:21,331 when the hype didn't get realized. 709 00:33:21,333 --> 00:33:27,337 To make matters worse, in 1999, 18-year-old Jesse Gelsinger 710 00:33:27,339 --> 00:33:30,507 entered a trial for a genetic liver condition. 711 00:33:30,509 --> 00:33:33,076 He only had a mild form of the disease. 712 00:33:33,078 --> 00:33:36,813 But, tragically, the gene therapy ended up killing him. 713 00:33:36,815 --> 00:33:39,082 ♪ ♪ 714 00:33:39,084 --> 00:33:41,051 This set the field back enormously 715 00:33:41,053 --> 00:33:42,853 and it's taken a long time for the field to recover 716 00:33:42,855 --> 00:33:44,388 from those setbacks. 717 00:33:44,390 --> 00:33:46,623 CHRISTINE DUNCAN: This is the family we just met this morning. 718 00:33:46,625 --> 00:33:47,824 He's seven years old, 719 00:33:47,826 --> 00:33:49,326 but wasn't diagnosed until August. 720 00:33:49,328 --> 00:33:53,196 WILLIAMS: Today, Dave Williams heads a new gene therapy trial 721 00:33:53,198 --> 00:33:56,934 that aims to cure a devastating childhood disease... 722 00:33:56,936 --> 00:33:59,970 So he's had febrile seizures since he was eight months old. 723 00:33:59,972 --> 00:34:01,204 WILLIAMS: ...a heartbreaking killer 724 00:34:01,206 --> 00:34:06,376 called cerebral adrenoleukodystrophy, or A.L.D., 725 00:34:06,378 --> 00:34:09,680 and the stakes couldn't be higher. 726 00:34:09,682 --> 00:34:12,482 ♪ ♪ 727 00:34:12,484 --> 00:34:15,852 Brian Rojas and his mother Lillianna 728 00:34:15,854 --> 00:34:19,156 are just about finished trimming their Christmas tree. 729 00:34:19,158 --> 00:34:23,126 But Brian's brother Brandon cannot join them. 730 00:34:23,128 --> 00:34:27,130 Three years ago, the two boys were inseparable; 731 00:34:27,132 --> 00:34:29,333 their family full of love and joy. 732 00:34:31,670 --> 00:34:33,503 Are you ready? 733 00:34:33,505 --> 00:34:37,074 WILLIAMS: Now at age nine, Brandon still gets the love, 734 00:34:37,076 --> 00:34:40,477 but A.L.D. is devastating his mind and body. 735 00:34:40,479 --> 00:34:41,778 All right. 736 00:34:41,780 --> 00:34:44,915 WILLIAMS: He can do nothing for himself anymore. 737 00:34:44,917 --> 00:34:46,149 WILLIAMS: Adrenoleukodystrophy 738 00:34:46,151 --> 00:34:48,752 is a genetic disease, 739 00:34:48,754 --> 00:34:51,655 and it's what we call X-linked, 740 00:34:51,657 --> 00:34:54,891 which means it occurs mostly in boys. 741 00:34:54,893 --> 00:34:58,962 And the typical history that we hear from families 742 00:34:58,964 --> 00:35:02,132 is that they have a perfectly terrific young boy 743 00:35:02,134 --> 00:35:04,401 who, at the age of five or six, 744 00:35:04,403 --> 00:35:08,939 suddenly begins to have developmental problems. 745 00:35:10,776 --> 00:35:13,777 LILLIANA ROJAS: Brandon started with drooling, 746 00:35:13,779 --> 00:35:18,215 and we thought that it was because he lost his front tooth 747 00:35:18,217 --> 00:35:21,618 and we didn't think anything else of it. 748 00:35:21,620 --> 00:35:27,657 And little by little he started losing his vision. 749 00:35:27,659 --> 00:35:29,893 DUNCAN: They may have change in their vision. 750 00:35:29,895 --> 00:35:31,728 They may have change in their hearing. 751 00:35:31,730 --> 00:35:33,563 They have change in their ability to communicate 752 00:35:33,565 --> 00:35:35,132 or speak with the family. 753 00:35:35,134 --> 00:35:37,567 And it all ends up ultimately 754 00:35:37,569 --> 00:35:39,569 with complete devastation and death. 755 00:35:41,774 --> 00:35:45,308 WILLIAMS: Dr. Christy Duncan has watched the inexorable decline 756 00:35:45,310 --> 00:35:47,577 of many A.L.D. boys 757 00:35:47,579 --> 00:35:51,948 because of a mutation on a gene called ABCD-1 758 00:35:51,950 --> 00:35:55,085 that affects micro-glial cells in the brain. 759 00:35:58,090 --> 00:36:00,690 DUNCAN: These are cells in the brain that are responsible 760 00:36:00,692 --> 00:36:02,159 for maintaining a healthy environment 761 00:36:02,161 --> 00:36:03,894 around some of the neurons. 762 00:36:03,896 --> 00:36:05,762 And so what you'll see over time 763 00:36:05,764 --> 00:36:08,498 is inflammatory lesions in the brain. 764 00:36:08,500 --> 00:36:14,171 WILLIAMS: On MRIs we can see these lesions rapidly increase over time 765 00:36:14,173 --> 00:36:17,574 as the disease destroys the brain. 766 00:36:21,580 --> 00:36:24,047 Unless you know there is A.L.D. in your family, 767 00:36:24,049 --> 00:36:28,051 the disease comes as a complete shock. 768 00:36:28,053 --> 00:36:31,621 HEATHER COOKSON: It's heartbreaking to find out that, unknowingly, 769 00:36:31,623 --> 00:36:34,191 I passed this gene 770 00:36:34,193 --> 00:36:38,095 and, ultimately, disease to my children. 771 00:36:38,097 --> 00:36:41,932 Heather Cookson's son Jerry is 12, 772 00:36:41,934 --> 00:36:44,801 older brother Ricky, 14. 773 00:36:44,803 --> 00:36:48,405 Ricky was eight when persistent headaches 774 00:36:48,407 --> 00:36:50,841 convinced Heather to insist he get an MRI. 775 00:36:52,578 --> 00:36:56,279 HEATHER: They found a lesion in Ricky's brain during that MRI. 776 00:36:56,281 --> 00:36:58,648 We just thought it was headaches. 777 00:36:58,650 --> 00:37:00,550 Never thought it was going to be 778 00:37:00,552 --> 00:37:04,855 a life-changing disease that he was going to have. 779 00:37:04,857 --> 00:37:08,391 WILLIAMS: Children like and Ricky can often be saved 780 00:37:08,393 --> 00:37:11,094 with a blood stem cell transplant. 781 00:37:11,096 --> 00:37:14,264 These cells originate in bone marrow 782 00:37:14,266 --> 00:37:18,135 and can become all blood cell types. 783 00:37:18,137 --> 00:37:21,805 But why new blood cells stop the progress of A.L.D. 784 00:37:21,807 --> 00:37:25,342 in the brain is somewhat mysterious. 785 00:37:25,344 --> 00:37:27,644 DUNCAN: This is a disease of brain cells. 786 00:37:27,646 --> 00:37:28,745 These are not the same cells 787 00:37:28,747 --> 00:37:31,281 and so it can be hard to understand 788 00:37:31,283 --> 00:37:32,949 why on earth that works. 789 00:37:34,453 --> 00:37:35,919 WILLIAMS: For his transplant to work, 790 00:37:35,921 --> 00:37:38,388 Ricky needs a good genetic match-- 791 00:37:38,390 --> 00:37:40,123 like his little brother Jerry. 792 00:37:40,125 --> 00:37:42,726 But Jerry also carried the faulty gene, 793 00:37:42,728 --> 00:37:45,095 so could not donate. 794 00:37:45,097 --> 00:37:49,633 Fortunately, Ricky found an unrelated matching donor 795 00:37:49,635 --> 00:37:52,435 and after the transplant and chemotherapy, 796 00:37:52,437 --> 00:37:55,305 he is now doing fine. 797 00:37:55,307 --> 00:37:59,509 But by the time Brandon Rojas was diagnosed, 798 00:37:59,511 --> 00:38:01,912 his A.L.D. had progressed too far 799 00:38:01,914 --> 00:38:04,080 to even try a transplant. 800 00:38:04,082 --> 00:38:06,616 And the news hit hard. 801 00:38:09,221 --> 00:38:11,121 LILLIAN: I couldn't accept the fact 802 00:38:11,123 --> 00:38:13,290 that they said there's no cure. 803 00:38:13,292 --> 00:38:16,560 We... I-I-I couldn't accept that. 804 00:38:16,562 --> 00:38:18,595 ♪ ♪ 805 00:38:18,597 --> 00:38:22,532 And that's when my whole world just fell down 806 00:38:22,534 --> 00:38:24,935 (voice breaking): and I didn't know how to react. 807 00:38:26,305 --> 00:38:28,104 DUNCAN: It's terrible. It's a tragedy. 808 00:38:28,106 --> 00:38:30,640 And the only-- even if you can call it-- 809 00:38:30,642 --> 00:38:32,509 sort of bright spot of that tragedy-- 810 00:38:32,511 --> 00:38:35,812 his younger brother Brian was identified 811 00:38:35,814 --> 00:38:37,547 because of the older brothers' disease. 812 00:38:37,549 --> 00:38:38,715 LILLIANA: Say hi, Brian. 813 00:38:38,717 --> 00:38:40,217 Hi. 814 00:38:40,219 --> 00:38:41,384 Sí! 815 00:38:43,689 --> 00:38:46,923 WILLIAMS: It wasn't guaranteed that having the bad gene 816 00:38:46,925 --> 00:38:49,993 would give Brian the deadly form of the disease. 817 00:38:49,995 --> 00:38:52,429 But Lilliana was worried. 818 00:38:52,431 --> 00:38:54,831 LILLIANA: We were hoping he was fine. 819 00:38:54,833 --> 00:38:56,266 We thought, you know, 820 00:38:56,268 --> 00:38:59,369 "Please, God, don't let him have the same." 821 00:38:59,371 --> 00:39:02,973 "He became a hero, Dr. Steven..." 822 00:39:02,975 --> 00:39:05,942 WILLIAMS: But about a year later, a small lesion appeared 823 00:39:05,944 --> 00:39:07,711 on Brian's MRI. 824 00:39:09,915 --> 00:39:12,015 Worse, there were no matching donors 825 00:39:12,017 --> 00:39:14,384 for an immediate transplant 826 00:39:14,386 --> 00:39:17,621 and his A.L.D. was progressing by the day. 827 00:39:17,623 --> 00:39:20,857 So when a new gene therapy trial opened up, 828 00:39:20,859 --> 00:39:24,694 Lilliana jumped at the opportunity. 829 00:39:24,696 --> 00:39:26,463 One of the things that the doctor said was, 830 00:39:26,465 --> 00:39:28,598 "We can save him." 831 00:39:28,600 --> 00:39:30,200 Do you want to go up there? 832 00:39:30,202 --> 00:39:33,837 WILLIAMS: Heather Cookson also learned that her younger son Jerry-- 833 00:39:33,839 --> 00:39:35,438 like his older brother Ricky-- 834 00:39:35,440 --> 00:39:37,574 had developed A.L.D. 835 00:39:37,576 --> 00:39:39,276 Follow my finger with your eyes. 836 00:39:39,278 --> 00:39:41,011 HEATHER: I got hit with a ton of bricks 837 00:39:41,013 --> 00:39:42,879 after his MRI. 838 00:39:42,881 --> 00:39:44,247 ♪ ♪ 839 00:39:44,249 --> 00:39:46,449 WILLIAMS: But Jerry would soon join Brian Rojas, 840 00:39:46,451 --> 00:39:48,118 and 15 other boys, 841 00:39:48,120 --> 00:39:52,489 in a gene trial that could save their lives 842 00:39:52,491 --> 00:39:55,992 And Jerry Cookson was up for the challenge. 843 00:39:55,994 --> 00:39:57,127 Oh, here? 844 00:39:58,864 --> 00:40:03,700 Therapy begins by collecting stem cells from the boys' blood, 845 00:40:03,702 --> 00:40:06,036 then taking them to a clean room 846 00:40:06,038 --> 00:40:08,605 where the genetic engineering begins. 847 00:40:11,343 --> 00:40:12,542 The doctors need to insert 848 00:40:12,544 --> 00:40:14,944 a healthy version of the gene 849 00:40:14,946 --> 00:40:17,681 into the boys' stem cells. 850 00:40:17,683 --> 00:40:19,382 To do this, they rely on a virus 851 00:40:19,384 --> 00:40:23,753 that's incredibly adept at invading cells-- 852 00:40:23,755 --> 00:40:25,455 H.I.V. 853 00:40:26,858 --> 00:40:28,525 The lethal virus has been altered 854 00:40:28,527 --> 00:40:31,161 so it can't make anyone sick. 855 00:40:31,163 --> 00:40:33,330 But it's still able to enter cells 856 00:40:33,332 --> 00:40:35,665 and do what virus's always do-- 857 00:40:35,667 --> 00:40:39,569 insert its DNA into the host cell. 858 00:40:39,571 --> 00:40:42,339 Only this time, the DNA carries the healthy gene 859 00:40:42,341 --> 00:40:48,111 that will hopefully stop the spread of A.L.D. 860 00:40:48,113 --> 00:40:49,446 These viruses sort of say to the cell, 861 00:40:49,448 --> 00:40:53,316 "these are your genes, you start producing proteins 862 00:40:53,318 --> 00:40:55,085 based on my genetic makeup." 863 00:40:56,555 --> 00:41:00,523 WILLIAMS: Researchers have been editing with viruses for decades, 864 00:41:00,525 --> 00:41:03,259 and they're still relying on them for human gene therapy 865 00:41:03,261 --> 00:41:06,296 while the newer CRISPR editing is being perfected. 866 00:41:08,967 --> 00:41:10,900 As their cells are being engineered, 867 00:41:10,902 --> 00:41:14,738 the boys undergo intense chemotherapy, 868 00:41:14,740 --> 00:41:16,706 to make room in their bone marrow 869 00:41:16,708 --> 00:41:21,244 for their new stem cells to grow. 870 00:41:21,246 --> 00:41:26,950 Then, it's time for reinfusion, and hope for success. 871 00:41:26,952 --> 00:41:28,718 NURSE: Nice job. 872 00:41:28,720 --> 00:41:31,254 ♪ ♪ 873 00:41:31,256 --> 00:41:34,357 JERRY: I started chemotherapy, ten days after that, 874 00:41:34,359 --> 00:41:38,094 on May 19th I got my cells back into me. 875 00:41:38,096 --> 00:41:41,131 And it's really kind of anticlimactic 876 00:41:41,133 --> 00:41:42,766 when you think about it. 877 00:41:42,768 --> 00:41:48,405 WILLIAMS: But Jerry could not feel what was going on inside his body. 878 00:41:48,407 --> 00:41:50,774 The new stem cells multiplied 879 00:41:50,776 --> 00:41:54,711 and began circulating in his blood stream. 880 00:41:54,713 --> 00:41:59,349 As they reached his brain, some changed into new glial cells-- 881 00:41:59,351 --> 00:42:02,118 now with the healthy gene. 882 00:42:02,120 --> 00:42:07,624 But would this be enough to stop the progress of the disease? 883 00:42:07,626 --> 00:42:09,225 (cheering) 884 00:42:09,227 --> 00:42:12,562 After three months Jerry Cookson was released from the hospital 885 00:42:12,564 --> 00:42:15,331 and is showing no A.L.D. symptoms. 886 00:42:15,333 --> 00:42:16,433 ♪ ♪ 887 00:42:16,435 --> 00:42:19,169 Of the 17 boys who entered the trial, 888 00:42:19,171 --> 00:42:23,873 15 completed the therapy and so far all are doing fine. 889 00:42:24,876 --> 00:42:26,376 JERRY: So I think it's kind of cool 890 00:42:26,378 --> 00:42:29,245 that I'm like one in like 16 or 17 people 891 00:42:29,247 --> 00:42:31,047 that did this treatment. 892 00:42:32,517 --> 00:42:35,084 And it's a new treatment that could change 893 00:42:35,086 --> 00:42:36,853 a lot of other people's lives. 894 00:42:36,855 --> 00:42:38,721 He has been stable, he's in school, 895 00:42:38,723 --> 00:42:41,858 he plays soccer, he is perfect. 896 00:42:41,860 --> 00:42:43,726 WILLIAMS: And for the therapy team, 897 00:42:43,728 --> 00:42:47,564 this has been the experience of a lifetime. 898 00:42:47,566 --> 00:42:50,266 DUNCAN: I truly feel so incredibly lucky 899 00:42:50,268 --> 00:42:51,901 to be at this end of it. 900 00:42:51,903 --> 00:42:54,137 We're finally able to take the fruits of years and years 901 00:42:54,139 --> 00:42:56,439 of people's work and treat these boys. 902 00:42:56,441 --> 00:42:59,409 They are going to school and they are living proof 903 00:42:59,411 --> 00:43:03,947 of what science can do and it is really remarkable. 904 00:43:05,217 --> 00:43:07,150 HEATHER: We're extremely lucky. 905 00:43:07,152 --> 00:43:08,585 There are some families out there 906 00:43:08,587 --> 00:43:11,454 that aren't as lucky as our family. 907 00:43:12,991 --> 00:43:15,692 BRIAN (off-screen): He wore the black costume. 908 00:43:15,694 --> 00:43:19,863 WILLIAMS: For the Rojas family, the end of the trial is bittersweet. 909 00:43:19,865 --> 00:43:22,298 Since Brian received gene therapy, 910 00:43:22,300 --> 00:43:26,402 he is healthy and seems to be headed for a normal life, 911 00:43:26,404 --> 00:43:29,939 while his brother Brandon is slipping away. 912 00:43:32,010 --> 00:43:34,878 But to Lilliana, Brandon is a hero. 913 00:43:35,947 --> 00:43:38,848 LILLIANA: Because of Brandon, 914 00:43:38,850 --> 00:43:40,116 Brian was diagnosed early. 915 00:43:40,118 --> 00:43:43,653 Brandon saved his little brother. 916 00:43:43,655 --> 00:43:47,490 WILLIAMS: A new gene therapy decades in the making 917 00:43:47,492 --> 00:43:50,093 saved Brian Rojas. 918 00:43:50,095 --> 00:43:53,496 Could this be a sign we've turned the corner 919 00:43:53,498 --> 00:43:56,232 on gene therapy cures? 920 00:43:56,234 --> 00:43:59,002 WILLIAMS: It is literally going to be hundreds of diseases 921 00:43:59,004 --> 00:44:01,137 that we'll now be able to approach. 922 00:44:01,139 --> 00:44:02,605 LILLIANA: Very good, nice job. 923 00:44:02,607 --> 00:44:06,409 WILLIAMS: The future of genetic therapy is actually here. 924 00:44:06,411 --> 00:44:08,444 ♪ ♪ 925 00:44:08,446 --> 00:44:10,980 WILLIAMS: For anyone touched by genetic disease, 926 00:44:10,982 --> 00:44:14,918 new breakthroughs could not come quickly enough. 927 00:44:14,920 --> 00:44:16,519 And many hope genetic engineering 928 00:44:16,521 --> 00:44:19,789 could go even further. 929 00:44:19,791 --> 00:44:22,559 But if we can fix mistakes in someone's DNA, 930 00:44:22,561 --> 00:44:26,329 could we do that even before they were born? 931 00:44:26,331 --> 00:44:28,131 (heartbeat murmuring) 932 00:44:28,133 --> 00:44:31,801 We have the ability to alter the DNA inside human embryos, 933 00:44:31,803 --> 00:44:35,004 and in the germline cells that make them. 934 00:44:35,006 --> 00:44:38,908 The big question is-- should we? 935 00:44:38,910 --> 00:44:43,012 And why does even talking about this so controversial. 936 00:44:43,014 --> 00:44:44,847 (giggling) 937 00:44:44,849 --> 00:44:47,951 CAPLAN: I think the driving fear of the germ line engineering, 938 00:44:47,953 --> 00:44:50,753 fixing things across generations, 939 00:44:50,755 --> 00:44:52,755 is the slippery slope. 940 00:44:52,757 --> 00:44:55,258 A lot of people would say, "Yeah, okay. 941 00:44:55,260 --> 00:44:56,960 "You want to go out and fix Tay-Sachs disease 942 00:44:56,962 --> 00:44:57,961 "that kills people? 943 00:44:57,963 --> 00:44:59,295 "Hooray. 944 00:44:59,297 --> 00:45:01,097 "You want to fix deafness? 945 00:45:01,099 --> 00:45:03,333 "You want to get rid of short stature? 946 00:45:03,335 --> 00:45:05,201 "Where does that all end? 947 00:45:05,203 --> 00:45:06,936 "Aren't we going to wind up doing things like, 948 00:45:06,938 --> 00:45:10,373 'I want my kid to be stronger, smarter, faster'?" 949 00:45:10,375 --> 00:45:14,377 WILLIAMS: In other words, editing embryos not to cure a disease, 950 00:45:14,379 --> 00:45:20,083 but to enhance abilities and make designer babies. 951 00:45:20,085 --> 00:45:21,451 ♪ ♪ 952 00:45:21,453 --> 00:45:23,219 There's been experimental efforts 953 00:45:23,221 --> 00:45:26,623 at curing genetic diseases in embryos. 954 00:45:26,625 --> 00:45:31,060 But the fear this could lead to designer babies is so strong, 955 00:45:31,062 --> 00:45:34,697 most countries prohibit it entirely. 956 00:45:34,699 --> 00:45:37,033 And the U.S. government won't fund it. 957 00:45:37,035 --> 00:45:40,103 But are these fears justified? 958 00:45:40,105 --> 00:45:43,473 SHOUKHRAT MITALIPOV: The complexity of how to make designer babies 959 00:45:43,475 --> 00:45:45,308 is such a big deal 960 00:45:45,310 --> 00:45:47,143 we don't even know what genes 961 00:45:47,145 --> 00:45:48,978 or how many genes would make 962 00:45:48,980 --> 00:45:52,081 a child taller or smarter. 963 00:45:52,083 --> 00:45:54,684 CAPLAN: It's one thing to say, "I'm going to repair 964 00:45:54,686 --> 00:45:57,487 a single error that causes a particular genetic disease." 965 00:45:57,489 --> 00:46:00,023 It's another thing to say, "I gotta insert 500 genes 966 00:46:00,025 --> 00:46:02,125 in order to make your memory enhanced." 967 00:46:02,127 --> 00:46:04,460 The whole thing is hard to do. 968 00:46:04,462 --> 00:46:07,363 WILLIAMS: But our genetic knowledge is increasing 969 00:46:07,365 --> 00:46:11,701 and it certainly seems possible that one day we will be able 970 00:46:11,703 --> 00:46:14,404 to design our babies. 971 00:46:14,406 --> 00:46:16,305 CAPLAN: In a competitive market society 972 00:46:16,307 --> 00:46:18,608 you see people showing up at IVF clinics saying, 973 00:46:18,610 --> 00:46:21,210 "You know, we're having trouble conceiving, 974 00:46:21,212 --> 00:46:22,512 "but as long as I'm here, 975 00:46:22,514 --> 00:46:26,149 "could I get a 6-foot-7 Ukrainian mathematician donor 976 00:46:26,151 --> 00:46:29,018 "because that's what we wanted; red-headed, is that possible?" 977 00:46:29,020 --> 00:46:32,188 Down the road long term are we going to see 978 00:46:32,190 --> 00:46:34,390 enhancement or improvement anyway? 979 00:46:34,392 --> 00:46:35,892 Yes. 980 00:46:35,894 --> 00:46:39,562 WILLIAMS: But if we do go down this road, where will it end? 981 00:46:39,564 --> 00:46:41,964 MARCY DARNOVSKY: You know, when we start 982 00:46:41,966 --> 00:46:45,068 doing really biologically radical things, 983 00:46:45,070 --> 00:46:49,405 we could see some terrible health consequences develop 984 00:46:49,407 --> 00:46:53,009 when the child is two years old, 20 years old, 985 00:46:53,011 --> 00:46:56,579 or when that child has children of his or her own. 986 00:46:56,581 --> 00:46:57,780 We just don't know 987 00:46:57,782 --> 00:47:00,049 what the unintended consequences might be. 988 00:47:00,051 --> 00:47:02,452 And that anybody who would be contemplating 989 00:47:02,454 --> 00:47:04,654 using a technology like this 990 00:47:04,656 --> 00:47:07,590 should really ask themselves whether it's worth the risk. 991 00:47:07,592 --> 00:47:10,493 ♪ ♪ 992 00:47:10,495 --> 00:47:13,930 WILLIAMS: The power of genetic engineering to sculpt ourselves 993 00:47:13,932 --> 00:47:17,934 and the natural world does bring a burden of risk. 994 00:47:17,936 --> 00:47:21,938 And although Kevin Esvelt is confident his engineered mice 995 00:47:21,940 --> 00:47:24,073 will only reduce Lyme disease, 996 00:47:24,075 --> 00:47:27,143 and not bring harm to Nantucket's ecosystem, 997 00:47:27,145 --> 00:47:28,611 he also knows 998 00:47:28,613 --> 00:47:31,614 that absolute certainty and genetic engineering 999 00:47:31,616 --> 00:47:34,650 do not go together. 1000 00:47:34,652 --> 00:47:36,385 ESVELT: I worry every day 1001 00:47:36,387 --> 00:47:38,788 that I might be missing something profound 1002 00:47:38,790 --> 00:47:40,923 about the consequences of what we're developing. 1003 00:47:40,925 --> 00:47:44,594 WILLIAMS: At a town hall meeting, Kevin assures residents 1004 00:47:44,596 --> 00:47:48,431 he will be taking a go-slow approach. 1005 00:47:48,433 --> 00:47:49,532 Frankly, what we're talking about here 1006 00:47:49,534 --> 00:47:52,001 is altering the shared environment. 1007 00:47:52,003 --> 00:47:53,669 ♪ ♪ 1008 00:47:53,671 --> 00:47:56,372 WILLIAMS: And that he could halt the experiment if problems appeared. 1009 00:47:56,374 --> 00:47:59,375 Most importantly, they would determine 1010 00:47:59,377 --> 00:48:02,278 if the mice would ever get released here. 1011 00:48:02,280 --> 00:48:05,114 To be clear, this project will only move forwards 1012 00:48:05,116 --> 00:48:08,417 if the community supports it at every step of the way. 1013 00:48:09,921 --> 00:48:12,955 WILLIAMS: He tells them he would first perform a field test 1014 00:48:12,957 --> 00:48:16,225 on an isolated island to check that the new gene 1015 00:48:16,227 --> 00:48:20,596 is working and the altered mice are causing no problems. 1016 00:48:20,598 --> 00:48:25,334 Only then would he propose releasing them on Nantucket. 1017 00:48:25,336 --> 00:48:27,069 Once we have those, then... 1018 00:48:27,071 --> 00:48:28,871 WILLIAMS: But for his new gene to spread 1019 00:48:28,873 --> 00:48:30,606 throughout the mouse population, 1020 00:48:30,608 --> 00:48:31,841 he would need to release 1021 00:48:31,843 --> 00:48:35,311 a lot of engineered mice. 1022 00:48:35,313 --> 00:48:39,248 It might mean releasing, say, 100,000 mice on Nantucket. 1023 00:48:39,250 --> 00:48:40,983 WILLIAMS: It would take that many 1024 00:48:40,985 --> 00:48:44,120 to spread the Lyme-resistant gene effectively. 1025 00:48:44,122 --> 00:48:45,855 What happens to the actual population, 1026 00:48:45,857 --> 00:48:47,190 the mouse population itself? 1027 00:48:47,192 --> 00:48:49,125 I mean that's just going to keep growing, and growing, 1028 00:48:49,127 --> 00:48:50,092 and growing. 1029 00:48:50,094 --> 00:48:51,527 TELFORD: Actually, no... 1030 00:48:51,529 --> 00:48:53,563 WILLIAMS: Although residents are concerned by the numbers, 1031 00:48:53,565 --> 00:48:56,999 Sam Telford assures them the mice population 1032 00:48:57,001 --> 00:48:58,768 will stay in check. 1033 00:48:58,770 --> 00:49:00,903 Something is out there that's regulating them. 1034 00:49:00,905 --> 00:49:03,272 Disease is regulating them. 1035 00:49:03,274 --> 00:49:05,274 There's a mite, a mange mite that is regulating them. 1036 00:49:05,276 --> 00:49:10,379 WILLIAMS: But even one GMO mouse is still alarming for some. 1037 00:49:10,381 --> 00:49:15,451 The is rapid, rapid, man-made evolution. 1038 00:49:15,453 --> 00:49:17,787 Some people think that genetically modified organisms 1039 00:49:17,789 --> 00:49:19,322 should never be done. 1040 00:49:19,324 --> 00:49:21,457 They think that people like Kevin are playing God. 1041 00:49:21,459 --> 00:49:23,659 We don't know what effect it's going to have 1042 00:49:23,661 --> 00:49:26,495 15 years, 20 years, 25 years down the line. 1043 00:49:26,497 --> 00:49:30,766 WILLIAMS: But Kevin's cautious, open science approach 1044 00:49:30,768 --> 00:49:33,202 seems to be winning the day. 1045 00:49:33,204 --> 00:49:35,538 ESVELT: If you were to run these kinds of experiments 1046 00:49:35,540 --> 00:49:38,107 the way science is traditionally done-- 1047 00:49:38,109 --> 00:49:39,775 behind closed doors-- 1048 00:49:39,777 --> 00:49:42,612 you'd be denying people a voice in decisions 1049 00:49:42,614 --> 00:49:44,981 intended to eventually affect them. 1050 00:49:44,983 --> 00:49:46,949 Devon, why don't you come on down? 1051 00:49:46,951 --> 00:49:50,286 WILLIAMS: Islanders have given Kevin the go ahead to engineer the mice. 1052 00:49:50,288 --> 00:49:53,256 But with a Nantucket release years away, 1053 00:49:53,258 --> 00:49:56,259 there are no hard choices for them to make... yet. 1054 00:49:56,261 --> 00:49:57,526 So how we doing? 1055 00:49:57,528 --> 00:50:01,764 Still, residents here are so fed up with Lyme disease, 1056 00:50:01,766 --> 00:50:04,133 if the field test does go well, 1057 00:50:04,135 --> 00:50:07,403 Kevin's grand experiment could go all the way. 1058 00:50:08,573 --> 00:50:11,073 And if he stops Lyme here, 1059 00:50:11,075 --> 00:50:13,676 what diseases would he target next? 1060 00:50:13,678 --> 00:50:17,346 Could Kevin and other researchers one day engineer 1061 00:50:17,348 --> 00:50:22,285 mosquitos to halt the spread of deadly malaria? 1062 00:50:22,287 --> 00:50:26,589 ESVELT: If we could just go in there and change the mosquitoes 1063 00:50:26,591 --> 00:50:27,990 so they can't transmit malaria, 1064 00:50:27,992 --> 00:50:29,558 or better yet, 1065 00:50:29,560 --> 00:50:32,395 someday so that they just don't want to bite people, 1066 00:50:32,397 --> 00:50:35,364 that would be the most elegant solution to a problem. 1067 00:50:35,366 --> 00:50:36,699 ♪ ♪ 1068 00:50:36,701 --> 00:50:39,335 WILLIAMS: Kevin Esvelt is walking in the footsteps 1069 00:50:39,337 --> 00:50:41,203 of those early pioneers 1070 00:50:41,205 --> 00:50:44,941 who engineered bacteria to make insulin for diabetics. 1071 00:50:44,943 --> 00:50:47,576 Today, we have the capacity 1072 00:50:47,578 --> 00:50:51,814 to alter the genomes of every living thing. 1073 00:50:51,816 --> 00:50:54,383 So, the potential rewards-- and the risks-- 1074 00:50:54,385 --> 00:50:58,454 of genetic engineering have never been greater. 1075 00:50:58,456 --> 00:51:00,156 PAUWELS: A few decades ago, 1076 00:51:00,158 --> 00:51:02,591 the changes we would impose on biology 1077 00:51:02,593 --> 00:51:05,428 were very much incremental. 1078 00:51:05,430 --> 00:51:06,929 They were little steps. 1079 00:51:06,931 --> 00:51:09,598 But now we could drastically accelerate 1080 00:51:09,600 --> 00:51:11,067 the engineering of our genes, 1081 00:51:11,069 --> 00:51:13,803 our bodies, and even our ecosystems. 1082 00:51:13,805 --> 00:51:15,104 (moose bellowing) 1083 00:51:15,106 --> 00:51:17,606 WILLIAMS: Despite all we can do, 1084 00:51:17,608 --> 00:51:20,309 there's still one thing we can't do. 1085 00:51:20,311 --> 00:51:22,745 JONES-PRATHER: We can't create life. 1086 00:51:22,747 --> 00:51:25,014 We can't create a cell from scratch. 1087 00:51:25,016 --> 00:51:27,016 We can take an existing cell 1088 00:51:27,018 --> 00:51:30,353 and we can make so many changes to it that it looks nothing 1089 00:51:30,355 --> 00:51:32,355 like what it started out as. 1090 00:51:32,357 --> 00:51:33,823 But we have to start from something 1091 00:51:33,825 --> 00:51:35,091 that's already living 1092 00:51:35,093 --> 00:51:37,326 in order to end up with something that's living. 1093 00:51:37,328 --> 00:51:38,861 ♪ ♪ 1094 00:51:38,863 --> 00:51:41,297 WILLIAMS: So right now, we can't make life, 1095 00:51:41,299 --> 00:51:44,567 but we can radically change it in ways that will impact 1096 00:51:44,569 --> 00:51:45,801 our own evolution 1097 00:51:45,803 --> 00:51:48,437 and the future of the planet. 1098 00:51:48,439 --> 00:51:49,472 The question is: 1099 00:51:49,474 --> 00:51:52,742 will we use this power wisely? 1100 00:51:52,744 --> 00:51:55,678 ♪ ♪ 1101 00:51:58,950 --> 00:52:02,752 ♪ ♪ 1102 00:52:12,731 --> 00:52:15,398 "NOVA Wonders" is available on DVD. 1103 00:52:15,400 --> 00:52:18,902 To order, visit shop.PBS.org, 1104 00:52:18,904 --> 00:52:21,137 or call 1-800-PLAY-PBS. 1105 00:52:21,139 --> 00:52:24,441 "NOVA Wonders" is also available for download on iTunes. 1106 00:52:29,681 --> 00:52:33,616 ♪ ♪ 85895

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