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These are the user uploaded subtitles that are being translated: 1 00:00:01,720 --> 00:00:04,050 Are we born to die? 2 00:00:06,220 --> 00:00:09,990 For millennia, we've tried to outsmart our own mortality... 3 00:00:11,530 --> 00:00:15,900 Only to find that death is the greatest certainty. 4 00:00:15,900 --> 00:00:18,470 But for the first time in history, 5 00:00:18,470 --> 00:00:21,400 that may be about to change. 6 00:00:23,840 --> 00:00:28,580 Science is unraveling the mysteries of aging, 7 00:00:28,580 --> 00:00:31,350 discovering an animal 8 00:00:31,350 --> 00:00:34,150 that comes back from the dead, 9 00:00:34,150 --> 00:00:39,250 and turning our quest for eternal life on its head. 10 00:00:39,260 --> 00:00:42,820 Are we about to enter the age of immortality? 11 00:00:42,830 --> 00:00:47,700 Or is death necessary for the survival of our species? 12 00:00:47,700 --> 00:00:50,570 Can we cheat death? 13 00:00:53,570 --> 00:00:58,210 Space, time, life itself. 14 00:01:00,380 --> 00:01:02,010 The secrets of the cosmos 15 00:01:02,010 --> 00:01:05,280 lie through the wormhole. 16 00:01:05,280 --> 00:01:08,280 Captions by vitac... www.Vitac.Com 17 00:01:08,290 --> 00:01:11,320 captions paid for by discovery communications 18 00:01:17,890 --> 00:01:20,860 when will I die? 19 00:01:20,860 --> 00:01:23,930 It's a question I've asked myself. 20 00:01:23,930 --> 00:01:27,000 I'm sure you've thought about it, too. 21 00:01:27,000 --> 00:01:29,470 From the day we are born, 22 00:01:29,470 --> 00:01:32,270 the clock of our lives marks 23 00:01:32,280 --> 00:01:35,040 our inevitable decline... 24 00:01:35,050 --> 00:01:39,750 Ticking inexorably toward our final hour. 25 00:01:39,750 --> 00:01:42,220 Medical science has made incredible advances 26 00:01:42,220 --> 00:01:44,420 in prolonging life. 27 00:01:44,420 --> 00:01:46,320 For most of human history, 28 00:01:46,320 --> 00:01:49,060 people were lucky to survive into their 40s. 29 00:01:49,060 --> 00:01:51,990 Now, people often break 100. 30 00:01:52,000 --> 00:01:53,530 The oldest person we know of 31 00:01:53,530 --> 00:01:57,930 lived to celebrate her 122nd birthday. 32 00:01:57,930 --> 00:02:02,070 And as we probe deeper into the fundamental biology of life, 33 00:02:02,070 --> 00:02:03,140 we are now questioning 34 00:02:03,140 --> 00:02:05,970 whether death really has to come at all, 35 00:02:05,980 --> 00:02:10,080 whether we can... Stop the clock 37 00:02:13,950 --> 00:02:17,550 David Sinclair likes to live in the fast Lane. 38 00:02:17,550 --> 00:02:21,120 But he knows our bodies, 39 00:02:21,120 --> 00:02:24,760 like cars, can't push the needle forever. 40 00:02:24,760 --> 00:02:26,590 Well, I've been interested in studying aging 41 00:02:26,600 --> 00:02:28,100 since I can remember. 42 00:02:28,100 --> 00:02:29,700 I think it was around the age of 4 43 00:02:29,700 --> 00:02:32,600 when I realized that my parents would one day die, 44 00:02:32,600 --> 00:02:33,940 and I would, too, 45 00:02:33,940 --> 00:02:35,640 and that seemed extremely tragic. 46 00:02:35,640 --> 00:02:37,970 And I also thought that if we could figure out 47 00:02:37,970 --> 00:02:39,670 why we age and what we could do about it, 48 00:02:39,680 --> 00:02:43,650 that would have a really big beneficial impact on the world. 49 00:02:43,650 --> 00:02:47,350 David spends a lot of time thinking about old age. 50 00:02:47,350 --> 00:02:51,490 But he's interested in more than the wrinkles on our skin. 51 00:02:51,490 --> 00:02:53,860 As a professor of genetics at Harvard, 52 00:02:53,860 --> 00:02:59,130 he asks what role our genes play in aging. 53 00:02:59,130 --> 00:03:03,360 An aging body is a lot like a rusty old car. 54 00:03:03,370 --> 00:03:06,900 Rust, or oxidation, is what causes everything, 55 00:03:06,900 --> 00:03:10,640 including our DNA, to break down. 56 00:03:12,810 --> 00:03:15,140 David believes we may soon be able 57 00:03:15,150 --> 00:03:17,110 to repair our failing bodies 58 00:03:17,110 --> 00:03:22,020 as easily as a mechanic can spruce up a rusty body panel. 59 00:03:22,020 --> 00:03:23,480 David's research focuses 60 00:03:23,490 --> 00:03:26,850 on our body's own set of repair mechanics... 61 00:03:26,860 --> 00:03:31,030 A group of genes called sirtuins. 62 00:03:31,030 --> 00:03:32,160 As our bodies age, 63 00:03:32,160 --> 00:03:34,830 they accumulate old or senescent cells. 64 00:03:34,830 --> 00:03:38,930 And longevity genes prevent those cells from accumulating. 65 00:03:38,940 --> 00:03:40,800 This would be similar, in an old car, 66 00:03:40,800 --> 00:03:42,900 to the mechanics removing rusty old parts 67 00:03:42,910 --> 00:03:44,810 and replacing them with new ones. 68 00:03:44,810 --> 00:03:47,540 But these repair genes begin to fall silent 69 00:03:47,540 --> 00:03:50,240 as we pass our 30s and 40s. 70 00:03:50,250 --> 00:03:51,450 So if we could find a way 71 00:03:51,450 --> 00:03:53,720 of getting these longevity genes working harder, 72 00:03:53,720 --> 00:03:55,880 this would be a way to keep our bodies healthier 73 00:03:55,890 --> 00:03:57,220 and working for longer. 74 00:03:57,220 --> 00:04:00,190 If our cells have the tools to restore 75 00:04:00,190 --> 00:04:04,390 and rebuild themselves, why can't they do that forever... 76 00:04:04,390 --> 00:04:07,300 In other words, stop aging? 77 00:04:07,300 --> 00:04:09,900 Sinclair has dedicated his career 78 00:04:09,900 --> 00:04:13,030 to finding ways to help our repair mechanisms 79 00:04:13,040 --> 00:04:16,170 keep going well past middle age. 80 00:04:16,170 --> 00:04:20,510 It's driven him deep into the inner mechanics of the cell. 81 00:04:22,650 --> 00:04:25,310 In order for a human cell to function, 82 00:04:25,320 --> 00:04:27,220 it requires close collaboration 83 00:04:27,220 --> 00:04:29,420 between two distinct parts... 84 00:04:29,420 --> 00:04:33,020 The nucleus, the cell's control center, 85 00:04:33,020 --> 00:04:38,190 and its tiny power engines called mitochondria. 86 00:04:38,190 --> 00:04:42,400 Every task a cell performs relies on precise communication 87 00:04:42,400 --> 00:04:44,630 between these two. 88 00:04:44,630 --> 00:04:47,600 Imagine this kitchen is a young cell. 89 00:04:47,600 --> 00:04:50,910 Inside it are the nucleus and mitochondria, 90 00:04:50,910 --> 00:04:54,040 two chefs working in concert. 91 00:04:54,040 --> 00:04:56,140 Our genes are just like a recipe book. 92 00:04:56,150 --> 00:04:58,580 In a young cell, the nucleus and the mitochondria, 93 00:04:58,580 --> 00:05:00,820 they're reading the recipe perfectly, 94 00:05:00,820 --> 00:05:03,450 and they're really working well together. 95 00:05:03,450 --> 00:05:06,420 A delicious meal is taking shape. 96 00:05:06,420 --> 00:05:08,920 But over time, the communication 97 00:05:08,930 --> 00:05:12,560 and coordination between the chefs gets worse. 98 00:05:14,530 --> 00:05:17,070 In an old cell, the nucleus and the mitochondria, 99 00:05:17,070 --> 00:05:18,800 they're throwing in things that don't belong. 100 00:05:18,800 --> 00:05:21,270 They're leaving things out. They don't communicate well. 101 00:05:21,270 --> 00:05:23,640 One chef might be trying to pass a spoon to the other, 102 00:05:23,640 --> 00:05:25,570 and the other one is not paying attention. 103 00:05:25,580 --> 00:05:28,310 It's as if the chefs are spilling on the recipe book 104 00:05:28,310 --> 00:05:31,310 and losing that ability to read it. 105 00:05:31,310 --> 00:05:34,220 DNA is the recipe of life. 106 00:05:34,220 --> 00:05:35,820 But over time, 107 00:05:35,820 --> 00:05:39,250 wear and tear makes the recipe hard to read, 108 00:05:39,260 --> 00:05:43,460 and our cells lose the ability to prepare the meal. 109 00:05:43,460 --> 00:05:46,030 Whether it's damage or changes in the environment, 110 00:05:46,030 --> 00:05:48,060 the cell eventually loses the memory 111 00:05:48,060 --> 00:05:50,900 of which genes should be on and which genes should be off, 112 00:05:50,900 --> 00:05:52,770 and that, we think, causes aging. 113 00:05:55,740 --> 00:05:58,370 David has been combing through aging cells, 114 00:05:58,370 --> 00:06:00,710 trying to see if he can identify 115 00:06:00,710 --> 00:06:03,180 which vital ingredient they lack. 116 00:06:03,180 --> 00:06:05,710 And now he thinks he's found the molecule 117 00:06:05,720 --> 00:06:08,650 that will get our cellular kitchen back on track. 118 00:06:08,650 --> 00:06:12,090 It's called N.A.D. 119 00:06:12,090 --> 00:06:13,890 It's a molecule that's essential for life. 120 00:06:13,890 --> 00:06:17,060 Without it, you'd be dead in about 20 seconds. 121 00:06:17,060 --> 00:06:18,990 And, as we age, the levels of this molecule 122 00:06:19,000 --> 00:06:21,530 go down steadily to the point where you have 123 00:06:21,530 --> 00:06:23,870 about half the levels of what you once had. 124 00:06:23,870 --> 00:06:27,670 David wondered if there was a way to restore N.A.D. 125 00:06:27,670 --> 00:06:29,870 To more youthful levels. 126 00:06:29,870 --> 00:06:32,440 He injected mice with a special compound 127 00:06:32,440 --> 00:06:35,040 that boosts production of N.A.D. 128 00:06:35,040 --> 00:06:38,050 The effects were dramatic. 129 00:06:39,420 --> 00:06:42,020 This mouse is very youthful and energetic. 130 00:06:42,020 --> 00:06:45,090 You can see the ears are still nice and young-looking, 131 00:06:45,090 --> 00:06:47,820 and the fur isn't turning gray. 132 00:06:47,820 --> 00:06:51,560 As you can see here, this mouse is going gray. 133 00:06:51,560 --> 00:06:53,160 She's losing hair. 134 00:06:53,160 --> 00:06:54,760 Her ears are getting wrinkled. 135 00:06:54,760 --> 00:06:58,230 Her spine is starting to bend. 136 00:06:58,230 --> 00:07:00,030 Well, what's amazing about these mice 137 00:07:00,040 --> 00:07:03,810 is that they were born on the same day. 138 00:07:03,810 --> 00:07:06,370 What we saw was a rapid-aging reversal 139 00:07:06,380 --> 00:07:07,710 in their muscles, 140 00:07:07,710 --> 00:07:10,340 from a mouse that's equivalent to a 60-year-old human 141 00:07:10,350 --> 00:07:12,050 back to a 20-year-old. 142 00:07:12,050 --> 00:07:14,220 If we could apply this to humans, 143 00:07:14,220 --> 00:07:16,480 imagine what a city street might look like 144 00:07:16,490 --> 00:07:18,150 50 years from now. 145 00:07:18,150 --> 00:07:20,920 Almost everyone would appear youthful, 146 00:07:20,920 --> 00:07:23,790 free of the illness and frailties of age. 147 00:07:23,790 --> 00:07:26,060 David's research 148 00:07:26,060 --> 00:07:31,530 may one day slow down and even reverse aging in people. 149 00:07:31,530 --> 00:07:34,400 We're not talking here about being older for longer. 150 00:07:34,400 --> 00:07:35,570 It's quite the opposite. 151 00:07:35,570 --> 00:07:38,010 It's about being younger for longer. 152 00:07:38,010 --> 00:07:41,640 But David's work only treats the symptoms of aging. 153 00:07:41,640 --> 00:07:44,010 It doesn't attack the root of the problem... 154 00:07:44,010 --> 00:07:48,280 The gradual decay of our DNA. 155 00:07:52,490 --> 00:07:59,160 Japanese scientist Shin Kubota thinks we can turn that tide. 156 00:07:59,160 --> 00:08:03,260 My dream is to live with my families 157 00:08:03,270 --> 00:08:05,570 of different generations 158 00:08:05,570 --> 00:08:12,270 so that we can enjoy our great-great grandchildren. 159 00:08:12,280 --> 00:08:15,940 The sea is where all life began, 160 00:08:15,950 --> 00:08:19,080 and with every empty shell it leaves behind, 161 00:08:19,080 --> 00:08:23,120 it seems to prove that all lives must end. 162 00:08:23,120 --> 00:08:25,220 But shin knows otherwise. 163 00:08:25,220 --> 00:08:27,490 Shin studies a tiny marine animal 164 00:08:27,490 --> 00:08:30,390 called Turritopsis Dohrnii, 165 00:08:30,390 --> 00:08:33,430 or the immortal jellyfish. 166 00:08:33,430 --> 00:08:37,270 This creature has figured out how to cheat death. 167 00:08:39,900 --> 00:08:43,000 At shin's lab in the town of Shirahama 168 00:08:43,010 --> 00:08:46,540 is the world's only captive population 169 00:08:46,540 --> 00:08:49,380 of immortal animals. 170 00:08:49,380 --> 00:08:53,480 First discovered in the Mediterranean in 1988, 171 00:08:53,480 --> 00:08:58,090 this jellyfish is no bigger than your fingernail. 172 00:08:58,090 --> 00:09:02,360 Immortal jellyfish is very cute, small jellyfish. 173 00:09:02,360 --> 00:09:05,190 Diameter is about several millimeter. 174 00:09:05,190 --> 00:09:06,760 But after showing these creatures 175 00:09:06,760 --> 00:09:08,900 such tender, loving care, 176 00:09:08,900 --> 00:09:10,970 shin does the unthinkable. 177 00:09:13,270 --> 00:09:17,670 He chops them into pieces. 178 00:09:17,670 --> 00:09:20,510 Try to kill this jellyfish, 179 00:09:20,510 --> 00:09:22,540 you will be surprised. 180 00:09:22,550 --> 00:09:25,050 A remarkable thing happens. 181 00:09:25,050 --> 00:09:28,450 The jellyfish does not die beneath shin's hand. 182 00:09:28,450 --> 00:09:32,990 Instead, it seems to be reborn. 183 00:09:32,990 --> 00:09:38,360 The bell reabsorbs the tentacles and becomes a gelatinous blob. 184 00:09:38,360 --> 00:09:42,930 I call this stage the meatball. 185 00:09:42,930 --> 00:09:46,030 The meatball becomes a polyp, 186 00:09:46,040 --> 00:09:52,170 and soon it matures into an adult jellyfish. 187 00:09:52,180 --> 00:09:56,780 The jellyfish shows very remarkable transformation. 188 00:09:56,780 --> 00:10:00,550 The jellyfish's secret is a process called 189 00:10:00,550 --> 00:10:03,620 cellular transdifferentiation. 190 00:10:03,620 --> 00:10:05,650 The cells in any fragment of the animal 191 00:10:05,660 --> 00:10:08,790 can figure out what body parts are missing, 192 00:10:08,790 --> 00:10:13,530 then retrofit themselves to grow back the entire body. 193 00:10:13,530 --> 00:10:18,770 If we could determine how do the jellyfish rejuvenate, 194 00:10:18,770 --> 00:10:23,070 we could borrow its techniques. 195 00:10:23,070 --> 00:10:28,010 Imagine shin were attacked by a mutant sea monster. 196 00:10:28,010 --> 00:10:32,810 It's Japan, after all, so it's not such a crazy idea. 197 00:10:32,820 --> 00:10:34,980 If the only thing left of shin 198 00:10:34,980 --> 00:10:37,450 were the tip of one little finger... 199 00:10:37,450 --> 00:10:40,860 Transdifferentiation could turn those finger cells 200 00:10:40,860 --> 00:10:42,590 into brain cells, 201 00:10:42,590 --> 00:10:45,530 heart cells, muscle cells. 202 00:10:45,530 --> 00:10:49,060 Shin would come back from the dead. 203 00:10:51,130 --> 00:10:53,800 It seems like science fiction, 204 00:10:53,800 --> 00:10:59,240 but jellyfish and humans have surprisingly similar genes. 205 00:10:59,240 --> 00:11:01,380 If a jellyfish can learn this trick, 206 00:11:01,380 --> 00:11:03,740 perhaps we can, as well. 207 00:11:03,750 --> 00:11:06,450 From the ruins of a single animal, 208 00:11:06,450 --> 00:11:09,950 hundreds of identical jellyfish have sprouted. 209 00:11:09,950 --> 00:11:12,590 It's a feat unequaled in nature, 210 00:11:12,590 --> 00:11:15,490 but perhaps not for long. 211 00:11:15,490 --> 00:11:19,330 If we could unlock the genetic secrets of this jellyfish, 212 00:11:19,330 --> 00:11:22,060 we could regenerate aging organs, 213 00:11:22,070 --> 00:11:25,330 perhaps even entire bodies. 214 00:11:25,330 --> 00:11:26,870 I believe, one day, 215 00:11:26,870 --> 00:11:29,470 that humans can become immortal 216 00:11:29,470 --> 00:11:33,110 using the same process as a jellyfish. 217 00:11:35,680 --> 00:11:40,480 The promise of immortality always seemed a fantasy, 218 00:11:40,480 --> 00:11:42,150 but the infinite regeneration 219 00:11:42,150 --> 00:11:45,950 of the jellyfish is biological reality. 220 00:11:45,960 --> 00:11:49,560 So can we get there with our biology? 221 00:11:49,560 --> 00:11:51,760 Some people believe we will, 222 00:11:51,760 --> 00:11:54,030 and sooner than you think. 223 00:11:58,330 --> 00:12:01,760 Death has always been a fact of life. 224 00:12:01,760 --> 00:12:03,400 Why? 225 00:12:03,400 --> 00:12:06,070 Because our bodies wear down. 226 00:12:06,070 --> 00:12:08,630 Our hearts won't beat forever. 227 00:12:08,640 --> 00:12:11,200 Our muscles gradually weaken. 228 00:12:11,210 --> 00:12:14,940 Our brains lose their edge. 229 00:12:14,940 --> 00:12:18,240 But it doesn't have to be that way. 230 00:12:18,250 --> 00:12:20,610 Our bodies have built-in technology 231 00:12:20,620 --> 00:12:25,420 to repair themselves... Stem cells. 233 00:12:25,420 --> 00:12:27,550 These cells have the potential 234 00:12:27,560 --> 00:12:31,420 to replenish any organ in the body 235 00:12:31,430 --> 00:12:34,490 if we can coax them into doing it. 236 00:12:37,600 --> 00:12:41,330 Cell biologist Larry Goldstein thinks that if we want 237 00:12:41,340 --> 00:12:43,200 to extend our life-spans, 238 00:12:43,200 --> 00:12:46,410 we'll have to leap past a major obstacle... 239 00:12:46,410 --> 00:12:50,480 The slow decline of our minds. 240 00:12:50,480 --> 00:12:52,480 I had the unfortunate experience 241 00:12:52,480 --> 00:12:54,080 of helping to care for my mother 242 00:12:54,080 --> 00:12:55,920 when she developed Alzheimer's disease 243 00:12:55,920 --> 00:12:58,050 in her late 60s. 244 00:12:58,050 --> 00:12:59,690 It was a terrible experience, 245 00:12:59,690 --> 00:13:02,290 and I hate the idea of anybody else 246 00:13:02,290 --> 00:13:04,590 having to go through that with their family members 247 00:13:04,590 --> 00:13:07,660 and their loved ones. 248 00:13:07,660 --> 00:13:10,600 50% of us will develop Alzheimer's disease 249 00:13:10,600 --> 00:13:12,630 by the time we're 85 years old. 250 00:13:12,630 --> 00:13:15,030 It does no good to age to 85 251 00:13:15,040 --> 00:13:16,500 and be physically healthy 252 00:13:16,500 --> 00:13:18,570 if your brain doesn't function. 253 00:13:18,570 --> 00:13:22,410 At the Sanford consortium of regenerative medicine, 254 00:13:22,410 --> 00:13:25,850 Larry keeps an hourglass on his desk. 255 00:13:25,850 --> 00:13:30,320 It reminds him of all the people who are running out of time. 256 00:13:30,320 --> 00:13:32,180 But Larry thinks he's found the key 257 00:13:32,190 --> 00:13:34,720 to fighting debilitating diseases of aging 258 00:13:34,720 --> 00:13:39,560 like Alzheimer's... Stem cells. 260 00:13:39,560 --> 00:13:42,530 The problem is that we don't really understand 261 00:13:42,530 --> 00:13:46,470 what goes wrong in brain cells that have the disease. 262 00:13:46,470 --> 00:13:49,240 And we're using stem cells to try to tackle that problem 263 00:13:49,240 --> 00:13:50,640 in a unique way. 264 00:13:50,640 --> 00:13:54,810 Stem cells are the body's original building blocks. 265 00:13:54,810 --> 00:13:58,610 They have the potential to become any type of cell. 266 00:14:01,550 --> 00:14:05,250 In the primordial furnace of the womb, 267 00:14:05,250 --> 00:14:07,490 our bodies use these raw materials 268 00:14:07,490 --> 00:14:09,690 much like a master glassblower, 269 00:14:09,690 --> 00:14:12,930 sculpting beautifully intricate, finished organs 270 00:14:12,930 --> 00:14:15,760 from shapeless, raw ingredients. 271 00:14:15,760 --> 00:14:17,730 You can think about stem cells 272 00:14:17,730 --> 00:14:20,830 as being like biological raw material, 273 00:14:20,840 --> 00:14:24,140 just like these glass pellets are the raw material 274 00:14:24,140 --> 00:14:27,010 that you can throw into a really hot oven 275 00:14:27,010 --> 00:14:29,840 and use to make anything at all that you'd like to make. 276 00:14:29,840 --> 00:14:32,680 So, let's see how this works. 277 00:14:32,680 --> 00:14:36,250 In you go. Ooh, that's hot. 278 00:14:36,250 --> 00:14:38,750 As we grow from an embryo, 279 00:14:38,750 --> 00:14:41,450 our bodies prepare and shape stem cells 280 00:14:41,460 --> 00:14:45,220 for the adult roles they will need to fill. 282 00:14:45,230 --> 00:14:49,960 Each stem cell decides what adult cell type to become 283 00:14:49,960 --> 00:14:53,330 based on cues from the cells around it. 284 00:14:53,330 --> 00:14:54,730 Stem cells respond 285 00:14:54,740 --> 00:14:57,270 to biochemical signals from other cells. 286 00:14:57,270 --> 00:15:00,240 And so a heart cell started out as a stem cell, 287 00:15:00,240 --> 00:15:02,940 and it got instructions to become a heart cell. 288 00:15:02,940 --> 00:15:04,640 You can imagine putting a heart together 289 00:15:04,650 --> 00:15:06,110 with different vessel cells 290 00:15:06,110 --> 00:15:07,510 or different muscle cells. 291 00:15:07,520 --> 00:15:10,720 A great glassblower can put all these different shapes together 292 00:15:10,720 --> 00:15:13,390 to make something beautiful at the end. 293 00:15:13,390 --> 00:15:15,960 - Cool enough to touch. - Amazing. 294 00:15:15,960 --> 00:15:18,020 It's incredible, really, when you think about it. 295 00:15:18,030 --> 00:15:21,260 Millions and millions of stem cells get together, 296 00:15:21,260 --> 00:15:24,530 respond to the right sorts of biochemical signals, 297 00:15:24,530 --> 00:15:28,230 and make this heart. 298 00:15:28,240 --> 00:15:31,800 The power of stem cells to create organs from scratch 299 00:15:31,810 --> 00:15:35,810 has drawn the interest of scientists for decades. 300 00:15:35,810 --> 00:15:38,780 The goal is to harness this resource 301 00:15:38,780 --> 00:15:42,680 to rebuild and replace failing tissue. 302 00:15:42,680 --> 00:15:44,780 But there's a problem... 303 00:15:44,790 --> 00:15:46,920 By the time we're fully grown, 304 00:15:46,920 --> 00:15:51,060 we've exhausted our supply of embryonic stem cells, 305 00:15:51,060 --> 00:15:53,960 and the few stem cells we have left 306 00:15:53,960 --> 00:15:56,030 are not nearly as flexible. 307 00:15:56,030 --> 00:15:58,060 There are so-called adult stem cells, 308 00:15:58,070 --> 00:15:59,900 which are partially formed. 309 00:15:59,900 --> 00:16:04,540 They're committed to make one of the types of adult tissues. 310 00:16:04,540 --> 00:16:06,640 Skin stem cells make skin. 311 00:16:06,640 --> 00:16:08,940 Brain stem cells make brain tissues. 312 00:16:08,940 --> 00:16:10,440 But the important point 313 00:16:10,450 --> 00:16:12,280 is that it's partially committed. 314 00:16:12,280 --> 00:16:14,550 It has part of a shape that commits it 315 00:16:14,550 --> 00:16:18,220 to do some things and not others. 316 00:16:18,220 --> 00:16:20,550 Only embryonic stem cells 317 00:16:20,560 --> 00:16:24,220 have the flexibility to become any cell in the body. 318 00:16:24,230 --> 00:16:26,730 But harvesting them from embryonic tissue 319 00:16:26,730 --> 00:16:30,500 has proved politically controversial. 320 00:16:30,500 --> 00:16:32,700 Then, in 2006, 321 00:16:32,700 --> 00:16:35,900 scientists made a stunning discovery. 322 00:16:35,900 --> 00:16:40,970 Adult stem cells can be recycled back to embryonic form 323 00:16:40,980 --> 00:16:45,010 by modifying just four of their genes. 324 00:16:45,010 --> 00:16:49,880 They become what are called induced pluripotent stem cells, 325 00:16:49,880 --> 00:16:53,020 or IPS cells. 326 00:16:53,020 --> 00:16:55,120 So the discovery of IPS cell 327 00:16:55,120 --> 00:16:57,120 was like the shot heard 'round the world. 328 00:16:57,130 --> 00:17:00,330 It was a true revolution in our understanding 329 00:17:00,330 --> 00:17:03,200 of what cells could do, 330 00:17:03,200 --> 00:17:05,660 and how simply it could be done. 331 00:17:05,670 --> 00:17:08,430 Like throwing glass back into the furnace, 332 00:17:08,440 --> 00:17:11,940 we can now restore cells to their embryonic state 333 00:17:11,940 --> 00:17:13,570 and create raw materials 334 00:17:13,570 --> 00:17:16,710 we could use to stay eternally young. 335 00:17:16,710 --> 00:17:19,040 You could make this into brain cells, 336 00:17:19,050 --> 00:17:21,780 or heart cells, or skin cells, or what have you. 337 00:17:21,780 --> 00:17:25,580 We've used genetic trickery to take, for example, 338 00:17:25,590 --> 00:17:27,990 a skin cell from my arm, 339 00:17:27,990 --> 00:17:30,090 trick it using genetic elements 340 00:17:30,090 --> 00:17:31,490 into becoming a cell 341 00:17:31,490 --> 00:17:36,800 like an embryonic stem cell in its abilities. 342 00:17:36,800 --> 00:17:39,630 Larry is now using these rebooted cells 343 00:17:39,630 --> 00:17:43,340 to uncover what goes wrong in Alzheimer's. 344 00:17:43,340 --> 00:17:46,710 He starts with skin cells of people with the disease 345 00:17:46,710 --> 00:17:49,880 and changes them into brain cells. 346 00:17:49,880 --> 00:17:53,080 Then, he can study exactly what's going wrong 347 00:17:53,080 --> 00:17:57,750 in those cells and develop new drugs to treat them. 348 00:17:57,750 --> 00:18:00,350 Right now, we have zero drugs 349 00:18:00,350 --> 00:18:02,890 that alter the course of Alzheimer's disease. 350 00:18:02,890 --> 00:18:06,830 I do know that if we want to make it past 85 or 90 351 00:18:06,830 --> 00:18:08,760 on a regular basis, 352 00:18:08,760 --> 00:18:10,830 we're going to have to solve the problem. 353 00:18:10,830 --> 00:18:13,370 Larry hopes his work on Alzheimer's is 354 00:18:13,370 --> 00:18:15,400 the beginning of something bigger. 355 00:18:15,400 --> 00:18:17,840 He thinks if we stored our stem cells 356 00:18:17,840 --> 00:18:19,810 while we're young and healthy, 357 00:18:19,810 --> 00:18:23,640 we could use them later to replace our aging organs. 358 00:18:23,640 --> 00:18:25,610 It's incredible really when you think about it... 359 00:18:25,610 --> 00:18:27,750 The ability to someday build an organ 360 00:18:27,750 --> 00:18:31,650 from stem cells like this will be a huge breakthrough. 361 00:18:31,650 --> 00:18:33,650 In the future, we may be able 362 00:18:33,650 --> 00:18:36,490 to extend our lives by recreating 363 00:18:36,490 --> 00:18:39,530 our failing hearts, lungs, and kidneys. 364 00:18:39,530 --> 00:18:43,600 But what happens to our society when people live longer? 365 00:18:43,600 --> 00:18:46,930 Are we turning nature's plan upside down? 366 00:18:46,930 --> 00:18:48,770 One scientist has simulated a world 367 00:18:48,770 --> 00:18:51,370 where no one dies of old age, 368 00:18:51,370 --> 00:18:54,170 and he's reached a startling conclusion. 369 00:18:57,100 --> 00:19:00,340 If our organs have the power to regenerate, 370 00:19:00,340 --> 00:19:04,110 why do they allow us to age and die? 371 00:19:04,110 --> 00:19:10,280 Plants, bugs, animals... It happens to us all. 372 00:19:10,280 --> 00:19:11,550 Perhaps it's because 373 00:19:11,550 --> 00:19:15,220 death is programmed into us by evolution. 374 00:19:15,220 --> 00:19:19,960 Old animals must die to free up space for the young. 375 00:19:19,960 --> 00:19:23,490 So, if we cheat death, 376 00:19:23,500 --> 00:19:26,660 if we regenerate the sweetness of youth... 377 00:19:30,970 --> 00:19:34,500 Will evolution end? 378 00:19:34,510 --> 00:19:37,240 It's taken humans more than 1,000 years 379 00:19:37,240 --> 00:19:41,080 and many lifetimes to master the game of chess. 380 00:19:41,080 --> 00:19:44,180 That's a puzzle for Brazilian evolutionary biologist 381 00:19:44,180 --> 00:19:45,680 André Martins. 382 00:19:45,680 --> 00:19:48,250 Wouldn't it be better if one person 383 00:19:48,250 --> 00:19:50,250 could live long enough to acquire 384 00:19:50,260 --> 00:19:53,360 that mastery all by him or herself? 385 00:19:53,360 --> 00:19:55,790 For quite a while, scientists thought 386 00:19:55,790 --> 00:19:59,160 that evolution could not explain aging. 387 00:19:59,160 --> 00:20:03,400 When someone die, in average, they will leave less children, 388 00:20:03,400 --> 00:20:05,100 and that's a clear disadvantage 389 00:20:05,100 --> 00:20:08,470 from the evolutionary point of view. 390 00:20:08,470 --> 00:20:10,510 Evolution is supposed to favor 391 00:20:10,510 --> 00:20:13,810 the individuals best adapted for survival. 392 00:20:13,810 --> 00:20:17,280 So why doesn't it let us survive forever? 393 00:20:17,280 --> 00:20:21,020 Why are we denied the ultimate adaptation? 394 00:20:21,020 --> 00:20:23,090 André created a computer simulation 395 00:20:23,090 --> 00:20:24,720 to find out. 396 00:20:24,720 --> 00:20:29,090 I have always find the evolution problem fascinating. 397 00:20:29,090 --> 00:20:33,000 I thought it could explain not how but why we age. 398 00:20:33,000 --> 00:20:35,130 André' simulation uses game theory, 399 00:20:35,130 --> 00:20:38,170 the math of competitive situations. 400 00:20:38,170 --> 00:20:39,670 He thought he could find out 401 00:20:39,670 --> 00:20:42,640 whether dying actually serves a purpose 402 00:20:42,640 --> 00:20:44,910 by staging a competition. 403 00:20:44,910 --> 00:20:49,350 So, what the computer model does is simulate the competition 404 00:20:49,350 --> 00:20:51,980 between mortals and immortals. 405 00:20:51,980 --> 00:20:55,420 When you see blue, it means that that region of space, 406 00:20:55,420 --> 00:20:57,490 there is a mortal living there. 407 00:20:57,490 --> 00:21:00,990 And if it's red, there is an immortal living there. 408 00:21:00,990 --> 00:21:02,360 They fill out every space 409 00:21:02,360 --> 00:21:08,000 and they start competing for the limited resources there. 410 00:21:08,000 --> 00:21:10,930 To picture André' simulation, 411 00:21:10,940 --> 00:21:13,140 imagine a head-to-head contest 412 00:21:13,140 --> 00:21:16,840 between two very different soccer teams. 413 00:21:16,840 --> 00:21:21,540 The immortal players, in red, do not wear out with time. 414 00:21:21,550 --> 00:21:23,750 But the mortals, in blue, 415 00:21:23,750 --> 00:21:27,450 will eventually become too tired to play. 416 00:21:27,450 --> 00:21:29,750 By pitting the two against each other 417 00:21:29,750 --> 00:21:33,220 in a game lasting many generations, 418 00:21:33,220 --> 00:21:34,660 André thought he could find out 419 00:21:34,660 --> 00:21:38,260 just how much advantage immortality conveys. 420 00:21:38,260 --> 00:21:40,160 Every time I run the simulation, 421 00:21:40,170 --> 00:21:41,630 the same thing happens. 422 00:21:41,630 --> 00:21:45,100 The advantage of not dying makes a huge difference, 423 00:21:45,100 --> 00:21:48,610 and the immortals start winning. 424 00:21:48,610 --> 00:21:52,440 Like soccer, life is a competitive struggle. 425 00:21:52,440 --> 00:21:57,010 If you compete more effectively, you control the game. 426 00:21:57,020 --> 00:22:01,080 But André' simulation contains another life-like factor... 427 00:22:01,090 --> 00:22:03,690 Environmental change. 428 00:22:03,690 --> 00:22:05,320 Just like in the real world, 429 00:22:05,320 --> 00:22:10,230 André' virtual players face constantly shifting conditions, 430 00:22:10,230 --> 00:22:16,400 like new diseases, predators, 432 00:22:16,400 --> 00:22:18,230 and climate change. 433 00:22:18,240 --> 00:22:22,540 While immortals can struggle through them, 434 00:22:22,540 --> 00:22:24,940 not all mortals make it. 435 00:22:24,940 --> 00:22:26,340 However, when they die, 436 00:22:26,340 --> 00:22:30,850 they are replaced with younger, stronger players. 437 00:22:30,850 --> 00:22:32,380 In any evolutionary process, 438 00:22:32,380 --> 00:22:34,550 if you are mutating and adapting, 439 00:22:34,550 --> 00:22:37,350 the new generations will be slightly better than older ones 440 00:22:37,360 --> 00:22:41,120 because they are the ones that survive. 441 00:22:41,130 --> 00:22:43,960 Since the mortals can evolve, 442 00:22:43,960 --> 00:22:46,530 this gives them an advantage 443 00:22:46,530 --> 00:22:50,600 that allow us then to get back in the field. 444 00:22:50,600 --> 00:22:52,970 In evolution, each new generation 445 00:22:52,970 --> 00:22:55,610 has some tricks the last one didn't. 446 00:22:55,610 --> 00:22:57,640 And the faster you get them on the field, 447 00:22:57,640 --> 00:23:00,580 the faster the species improves. 448 00:23:00,580 --> 00:23:04,050 The impact, after many generations, 449 00:23:04,050 --> 00:23:05,850 is huge. 450 00:23:06,420 --> 00:23:09,750 First, there is no advantage for any side. 451 00:23:09,750 --> 00:23:14,290 And then, slowly the blue mortals start winning. 452 00:23:14,290 --> 00:23:17,060 And after a while, they can actually drive 453 00:23:17,060 --> 00:23:21,030 the red team, the immortals, to extinction. 454 00:23:21,030 --> 00:23:24,900 In the end, the mortal population wins 455 00:23:24,900 --> 00:23:27,570 because the immortals can't adapt. 456 00:23:27,570 --> 00:23:28,740 They're doomed. 457 00:23:28,740 --> 00:23:33,280 This suggests that aging has a biological goal. 458 00:23:36,380 --> 00:23:39,780 André believes, to keep pace with a changing world, 459 00:23:39,780 --> 00:23:43,850 we need new generations with new adaptations. 460 00:23:43,860 --> 00:23:45,590 And we must make room for them, 461 00:23:45,590 --> 00:23:48,930 which makes mortality necessary. 462 00:23:48,930 --> 00:23:52,900 The mortal can drive the immortals to extinction. 463 00:23:52,900 --> 00:23:55,470 It was much easier than what I was expecting. 464 00:23:55,470 --> 00:23:58,000 From evolutionary point of view for the species, 465 00:23:58,000 --> 00:23:59,470 it is a good thing to die. 466 00:23:59,470 --> 00:24:00,940 Yeah! 467 00:24:00,940 --> 00:24:03,300 From a personal point of view, it's not a good thing at all. 468 00:24:05,910 --> 00:24:10,710 We owe our very existence to the wonders of evolution, 469 00:24:10,720 --> 00:24:14,520 even though it has designed us to get out of the way. 470 00:24:14,520 --> 00:24:18,090 But what if we could sidestep natural evolution, 471 00:24:18,090 --> 00:24:21,860 manipulate the genes that make us die? 472 00:24:21,860 --> 00:24:27,000 Could we evolve ourselves to live forever? 473 00:24:29,680 --> 00:24:32,280 At the core of every living cell 474 00:24:32,280 --> 00:24:36,780 is a single fabulously complex molecule... 475 00:24:36,780 --> 00:24:38,550 DNA. 476 00:24:38,550 --> 00:24:42,250 Its genetic code is the source of life. 477 00:24:42,260 --> 00:24:45,990 But DNA is also the reason we die. 478 00:24:45,990 --> 00:24:50,130 As we age, our DNA code gets slowly jumbled, 479 00:24:50,130 --> 00:24:53,430 until it can no longer keep us alive. 480 00:24:53,430 --> 00:24:56,100 If we can undo those mistakes, 481 00:24:56,100 --> 00:25:00,270 we can stop death's shadow from creeping up on us. 482 00:25:05,850 --> 00:25:08,610 Professor Jennifer Doudna thinks we're on the brink 483 00:25:08,620 --> 00:25:12,780 of being able to fix all the errors in our DNA 484 00:25:12,790 --> 00:25:16,420 and make ourselves immune to disease and decay. 485 00:25:16,420 --> 00:25:20,190 It's been an amazing decade or more in science 486 00:25:20,190 --> 00:25:23,090 when it's been possible to sequence 487 00:25:23,100 --> 00:25:25,300 not only the entire human genome 488 00:25:25,300 --> 00:25:27,400 but now many human genomes. 489 00:25:27,400 --> 00:25:30,140 And what's really on the horizon 490 00:25:30,140 --> 00:25:34,440 is the opportunity to rewrite that information. 491 00:25:34,440 --> 00:25:36,740 Over the past few years, Jennifer has developed 492 00:25:36,740 --> 00:25:39,740 a revolutionary DNA-editing technique 493 00:25:39,750 --> 00:25:43,480 which has turned the dream of modifying our genes 494 00:25:43,480 --> 00:25:45,350 into practical reality. 495 00:25:45,350 --> 00:25:48,390 What's exciting right now is that we have a chance 496 00:25:48,390 --> 00:25:52,060 to make changes to the DNA 497 00:25:52,060 --> 00:25:54,090 at the level of a single letter 498 00:25:54,090 --> 00:25:56,900 in the more than 3 billion letters 499 00:25:56,900 --> 00:25:58,230 in the human cell. 500 00:25:58,230 --> 00:26:00,130 So this is a wonderful moment, 501 00:26:00,130 --> 00:26:02,800 when a technology has become available 502 00:26:02,800 --> 00:26:07,370 for that kind of precision genome engineering. 503 00:26:09,610 --> 00:26:12,040 In the past, DNA editing has been 504 00:26:12,050 --> 00:26:15,010 a crude, hit-and-miss affair. 505 00:26:15,020 --> 00:26:17,180 Imagine trying to fix a pair of eyeglasses 506 00:26:17,180 --> 00:26:19,320 without being able to see them 507 00:26:19,320 --> 00:26:23,120 and with tools that are far too big for the job. 508 00:26:23,120 --> 00:26:26,860 We didn't dare to edit human genes that way. 509 00:26:26,860 --> 00:26:28,730 But Jennifer and her collaborator, 510 00:26:28,730 --> 00:26:31,930 Emmanuelle Charpentier, have developed a new, 511 00:26:31,930 --> 00:26:33,600 far more precise tool 512 00:26:33,600 --> 00:26:37,140 that makes DNA surgery not only possible, 513 00:26:37,140 --> 00:26:39,040 but easy. 514 00:26:39,040 --> 00:26:41,210 It's called CRISPR, 515 00:26:41,210 --> 00:26:43,510 and it places almost god-like powers 516 00:26:43,510 --> 00:26:46,480 in the hands of humanity. 517 00:26:46,480 --> 00:26:48,210 Like many scientific wonders, 518 00:26:48,220 --> 00:26:51,780 CRISPR was pioneered by nature herself 519 00:26:51,790 --> 00:26:54,320 inside bacteria. 520 00:26:54,320 --> 00:26:58,320 We began our project with the goal of understanding 521 00:26:58,330 --> 00:27:01,490 how bacteria fight viral infection. 522 00:27:01,500 --> 00:27:05,430 But we recognized that molecules involved 523 00:27:05,430 --> 00:27:07,970 in those processes in bacteria 524 00:27:07,970 --> 00:27:10,570 could be harnessed as a technology 525 00:27:10,570 --> 00:27:14,040 for rewriting the DNA in cells. 526 00:27:17,280 --> 00:27:19,810 You could think about the DNA of a bacterium 527 00:27:19,810 --> 00:27:21,210 as a house 528 00:27:21,210 --> 00:27:24,820 and the invading viral DNA as a burglar. 529 00:27:26,250 --> 00:27:28,250 Jennifer and Emmanuelle discovered 530 00:27:28,260 --> 00:27:31,720 that bacteria have a built-in surveillance system. 531 00:27:31,730 --> 00:27:33,830 They can't prevent the first attack... 532 00:27:33,830 --> 00:27:36,090 But a system called CRISPR 533 00:27:36,100 --> 00:27:39,600 takes a precise snapshot of the viral DNA, 534 00:27:39,600 --> 00:27:41,870 the same way a security camera captures 535 00:27:41,870 --> 00:27:44,540 a picture of a burglar. 536 00:27:44,540 --> 00:27:46,140 In a real bacterial cell, 537 00:27:46,140 --> 00:27:48,770 the CRISPR sequence is the way 538 00:27:48,780 --> 00:27:53,040 that the cell records images in the form of DNA 539 00:27:53,050 --> 00:27:55,510 that represent foreign invaders 540 00:27:55,520 --> 00:27:57,720 and keep it for future reference 541 00:27:57,720 --> 00:28:00,150 to protect the cell from those same invaders. 542 00:28:03,260 --> 00:28:06,190 When the intruder shows up a second time, 543 00:28:06,190 --> 00:28:08,730 the bacterial cell recognizes the invader 544 00:28:08,730 --> 00:28:11,000 from stored surveillance images 545 00:28:11,000 --> 00:28:12,730 and calls the cops. 546 00:28:12,730 --> 00:28:18,270 In the bacterial cell, those cops are the enzyme cas9. 547 00:28:18,270 --> 00:28:21,040 So when the house pulls out a picture 548 00:28:21,040 --> 00:28:22,870 from the surveillance camera... 549 00:28:22,880 --> 00:28:26,880 And identifies a potential invader, 550 00:28:26,880 --> 00:28:31,220 that's the CRISPR system using the enzyme cas9 551 00:28:31,220 --> 00:28:36,620 to find and destroy foreign DNA. 552 00:28:36,620 --> 00:28:39,760 The cas9 molecule acts like a pair of scissors 553 00:28:39,760 --> 00:28:41,630 precisely guided by CRISPR 554 00:28:41,630 --> 00:28:45,230 to a matching site on the virus' DNA. 555 00:28:45,230 --> 00:28:47,870 It then cuts the DNA in that spot, 556 00:28:47,870 --> 00:28:51,240 destroying the virus' ability to reproduce. 557 00:28:51,240 --> 00:28:55,870 The threat to the bacterium is eliminated. 558 00:28:55,880 --> 00:28:57,310 But Jennifer realized 559 00:28:57,310 --> 00:28:59,180 she could adapt this natural mechanism 560 00:28:59,180 --> 00:29:02,310 into a pinpoint method for gene editing, 561 00:29:02,320 --> 00:29:06,950 accurate down to a single letter of DNA. 562 00:29:06,950 --> 00:29:11,790 This genome-editing technology provides the opportunity 563 00:29:11,790 --> 00:29:13,860 both to identify 564 00:29:13,860 --> 00:29:16,230 genetic mutations that cause disease, 565 00:29:16,230 --> 00:29:20,570 but also to actually correct those mutations. 566 00:29:20,570 --> 00:29:23,870 The ability to precisely fix errors in our DNA 567 00:29:23,870 --> 00:29:27,170 brings the promise of extending our lives, 568 00:29:27,170 --> 00:29:30,940 lifting the shadow that death casts over us. 569 00:29:30,940 --> 00:29:34,180 We could use CRISPR to stamp out hereditary diseases 570 00:29:34,180 --> 00:29:37,750 like cystic fibrosis and sickle cell anemia 571 00:29:37,750 --> 00:29:40,120 or simply make better humans, 572 00:29:40,120 --> 00:29:42,250 ones with extra-strong bones, 573 00:29:42,260 --> 00:29:43,660 low risk of Alzheimer's, 574 00:29:43,660 --> 00:29:46,590 or built-in resistance to cancer. 575 00:29:46,590 --> 00:29:49,160 But a dark side looms. 576 00:29:49,160 --> 00:29:51,600 Could this technology be used to create 577 00:29:51,600 --> 00:29:55,400 genetically engineered embryos for a super race, 578 00:29:55,400 --> 00:29:57,870 an elite population of designer babies 579 00:29:57,870 --> 00:30:02,140 with enhanced intelligence, beauty, or strength? 580 00:30:02,140 --> 00:30:05,940 I, myself, came to this realization over time, 581 00:30:05,950 --> 00:30:08,150 and one of the things that really influenced me 582 00:30:08,150 --> 00:30:11,920 was a dream that I had in which I was being asked 583 00:30:11,920 --> 00:30:16,520 to explain the CRISPR technology to someone in a dark room, 584 00:30:16,520 --> 00:30:20,090 and when that person turned around, 585 00:30:20,090 --> 00:30:22,830 it was the profile of Hitler. 586 00:30:22,830 --> 00:30:26,830 I still feel chills when I think about that moment in my dream, 587 00:30:26,830 --> 00:30:31,500 when I really felt strongly that this technology needs 588 00:30:31,510 --> 00:30:34,040 to be handled with caution. 589 00:30:34,040 --> 00:30:36,770 Humans genetically engineered to live longer 590 00:30:36,780 --> 00:30:39,240 are no longer the stuff of science fiction. 591 00:30:39,250 --> 00:30:41,310 The more we study our genome, 592 00:30:41,310 --> 00:30:44,750 the more opportunities we will see to improve it. 593 00:30:44,750 --> 00:30:47,550 In fact, scientists are already hunting 594 00:30:47,550 --> 00:30:51,820 for the genetic secret to living for 200 years 595 00:30:51,830 --> 00:30:55,260 in the DNA of another animal. 596 00:30:59,280 --> 00:31:03,580 In 2007, fishermen caught a bowhead whale 597 00:31:03,580 --> 00:31:06,110 off the coast of Alaska. 598 00:31:06,120 --> 00:31:08,250 Embedded in its flesh, 599 00:31:08,250 --> 00:31:13,590 they found a harpoon tip dating to the 1890s. 600 00:31:13,590 --> 00:31:17,160 No mammal on earth lives longer than the bowhead. 601 00:31:17,160 --> 00:31:20,390 Some of them live past 200. 602 00:31:20,400 --> 00:31:24,230 If we are looking for the genetic tools to cheat death, 603 00:31:24,230 --> 00:31:27,670 all that we need is probably already out there, 604 00:31:27,670 --> 00:31:30,400 in nature's vast pool of DNA. 605 00:31:30,410 --> 00:31:33,470 We just have to find it. 606 00:31:37,350 --> 00:31:39,750 Harvard scientist George church believes 607 00:31:39,750 --> 00:31:43,020 we need to probe the vast pool of animal DNA 608 00:31:43,020 --> 00:31:45,290 to find the secret of longer life. 609 00:31:45,290 --> 00:31:47,150 One of the mysteries of aging is why it is 610 00:31:47,160 --> 00:31:50,390 that some animals like mice live for 2 1/2 years 611 00:31:50,390 --> 00:31:52,290 because of their genetic program, 612 00:31:52,300 --> 00:31:55,700 while other animals like bowhead whales live for 200 years 613 00:31:55,700 --> 00:31:57,300 because of a different program. 614 00:31:57,300 --> 00:31:59,470 There's a wide range of life spans 615 00:31:59,470 --> 00:32:02,100 across all organisms in nature, 616 00:32:02,110 --> 00:32:04,370 but there is a consistent trend... 617 00:32:04,370 --> 00:32:07,340 Large animals tend to live longer. 618 00:32:07,340 --> 00:32:09,980 You could think of this in terms of a swimming race... 619 00:32:11,380 --> 00:32:16,050 Between long-distance swimmers and sprinters. 620 00:32:16,050 --> 00:32:19,750 In this analogy, the bowhead whale long-live... 621 00:32:19,760 --> 00:32:22,990 They're like the marathon white-cap swimmers, 622 00:32:22,990 --> 00:32:28,330 and the mice are like the red-cap sprinters. 623 00:32:28,330 --> 00:32:32,300 Big animals move slowly but last for the long haul. 624 00:32:32,300 --> 00:32:36,770 Small guys race along and burn out quickly. 625 00:32:36,770 --> 00:32:39,210 But George doesn't think size explains 626 00:32:39,210 --> 00:32:41,610 a bowhead whale's long life span. 627 00:32:41,610 --> 00:32:45,780 He thinks the secret lies in how it takes care of its DNA. 628 00:32:45,780 --> 00:32:47,780 Researchers recently found evidence 629 00:32:47,780 --> 00:32:49,750 that the bowhead excels 630 00:32:49,750 --> 00:32:52,920 at repairing damage to its genes. 631 00:32:52,920 --> 00:32:57,290 In humans, DNA damage is a major cause of aging. 632 00:32:57,290 --> 00:32:59,890 George thinks we could repair that damage using 633 00:32:59,900 --> 00:33:03,530 the powerful new CRISPR gene-editing technique. 634 00:33:03,530 --> 00:33:06,500 We're harnessing vast amounts of information 635 00:33:06,500 --> 00:33:09,170 gathered on long-lived animals 636 00:33:09,170 --> 00:33:11,640 and converting it into a gene therapy 637 00:33:11,640 --> 00:33:15,480 that can test whether we can do aging reversal 638 00:33:15,480 --> 00:33:17,110 in large animals and humans. 639 00:33:18,880 --> 00:33:21,420 Most of us die because our organs fail... 640 00:33:21,420 --> 00:33:26,320 Our hearts, our lungs, livers, our brains. 642 00:33:26,320 --> 00:33:29,420 But George thinks we can build better organs 643 00:33:29,430 --> 00:33:32,060 by going back and removing genetic defects 644 00:33:32,060 --> 00:33:34,660 from the cells they are made from. 645 00:33:34,660 --> 00:33:36,630 To test this idea, 646 00:33:36,630 --> 00:33:39,170 George looked at the genomes of pigs. 647 00:33:40,270 --> 00:33:42,870 We are using editing methods 648 00:33:42,870 --> 00:33:44,870 to engineer cells that are capable 649 00:33:44,870 --> 00:33:47,540 of producing pig embryos. 650 00:33:47,540 --> 00:33:48,840 Scientists have discovered that, 651 00:33:48,850 --> 00:33:52,380 over the millennia, pig DNA has been contaminated 652 00:33:52,380 --> 00:33:56,550 by 62 different viruses. 653 00:33:56,550 --> 00:33:59,420 George decided to use it as a test case 654 00:33:59,420 --> 00:34:01,290 to see if gene-editing 655 00:34:01,290 --> 00:34:04,860 could delete these tiny contaminants. 656 00:34:04,860 --> 00:34:06,860 What we did was unprecedented, 657 00:34:06,860 --> 00:34:11,630 which was change 62 pig viral genes simultaneously 658 00:34:11,630 --> 00:34:15,670 so that now the pigs are, for the first time, virus-free. 659 00:34:15,670 --> 00:34:18,070 With sperm and egg cleansed 660 00:34:18,070 --> 00:34:19,970 of ancient contaminants, 661 00:34:19,980 --> 00:34:22,410 George made his own pig embryos 662 00:34:22,410 --> 00:34:25,080 using in vitro fertilization. 663 00:34:25,080 --> 00:34:27,210 Once the pig embryos are implanted, 664 00:34:27,220 --> 00:34:30,050 we no longer have to keep going back to the embryo stage. 665 00:34:30,050 --> 00:34:33,650 Then, the pigs breed just like regular pigs would. 666 00:34:33,660 --> 00:34:36,860 It's just that they no longer produce viruses. 667 00:34:36,860 --> 00:34:38,330 It also gives us the opportunity 668 00:34:38,330 --> 00:34:40,730 to make more healthy organs 669 00:34:40,730 --> 00:34:45,300 which are resistant to viruses, cancer, and aging. 670 00:34:45,300 --> 00:34:47,670 Ultimately, George wants to apply 671 00:34:47,670 --> 00:34:49,300 this technique to humans 672 00:34:49,310 --> 00:34:52,740 and to a much broader range of genetic defects, 673 00:34:52,740 --> 00:34:54,680 deleting harmful genes 674 00:34:54,680 --> 00:34:56,540 and adding in beneficial ones 675 00:34:56,550 --> 00:35:00,180 we find in long-lived animals like the bowhead whale. 676 00:35:02,220 --> 00:35:05,650 Today, we can test for genetic defects in unborn children, 677 00:35:05,660 --> 00:35:08,960 but we lack the means to cure them. 678 00:35:08,960 --> 00:35:11,060 So when you go to a modern obstetrics clinic 679 00:35:11,060 --> 00:35:13,790 like this, and you're concerned about genetic disease, 680 00:35:13,800 --> 00:35:16,860 the mother and the father can get a readout of their genome 681 00:35:16,870 --> 00:35:20,840 and make decisions that might involve termination. 682 00:35:20,840 --> 00:35:23,240 George believes that, in the near future, 683 00:35:23,240 --> 00:35:26,710 parents won't have to face these difficult choices. 684 00:35:26,710 --> 00:35:29,880 The gene-editing techniques he's pioneering in animals 685 00:35:29,880 --> 00:35:33,180 will soon be applied to the genes of human parents 686 00:35:33,180 --> 00:35:35,780 before they ever conceive a child. 687 00:35:35,790 --> 00:35:38,520 In the near future, you'll be able to edit 688 00:35:38,520 --> 00:35:40,390 either the mother or father's body DNA 689 00:35:40,390 --> 00:35:42,720 so that the sperm or egg does not contain 690 00:35:42,730 --> 00:35:44,460 the very serious disease 691 00:35:44,460 --> 00:35:46,630 and never even makes it into an embryo. 692 00:35:46,630 --> 00:35:49,400 Further into the future, 693 00:35:49,400 --> 00:35:52,870 we'll even add DNA modifications so that children are born 694 00:35:52,870 --> 00:35:58,070 not only healthy but with long-lived super organs. 695 00:35:58,070 --> 00:36:02,410 Today, living for 200 years is beyond our reach. 696 00:36:02,410 --> 00:36:05,950 But with precision editing in the sperm and egg, 697 00:36:05,950 --> 00:36:07,310 our genes may soon have 698 00:36:07,320 --> 00:36:10,720 the staying power of the genes of the bowhead whale. 699 00:36:10,720 --> 00:36:12,720 Just as our ancestors 700 00:36:12,720 --> 00:36:14,960 had a life expectancy of 45 years, 701 00:36:14,960 --> 00:36:16,260 today it's more like 90. 702 00:36:16,260 --> 00:36:18,660 Mothers today can expect their children to live 703 00:36:18,660 --> 00:36:20,730 into their 100s. 704 00:36:20,730 --> 00:36:22,260 Imagine a future where people 705 00:36:22,270 --> 00:36:25,730 over 100 years old continue contributing to society 706 00:36:25,740 --> 00:36:28,500 as if they were in their 30s again, 707 00:36:28,500 --> 00:36:31,570 where their vast experience is valued, 708 00:36:31,570 --> 00:36:34,740 and ageism is a thing of the past. 709 00:36:34,740 --> 00:36:37,880 But this man thinks our quest to cheat death 710 00:36:37,880 --> 00:36:41,180 threatens the fabric of civilization itself. 711 00:36:41,180 --> 00:36:45,020 He says it's time for us to embrace death. 712 00:36:47,140 --> 00:36:49,470 A century ago, 713 00:36:49,480 --> 00:36:55,850 the average life expectancy of an American was around 52. 714 00:36:55,850 --> 00:36:58,450 With genetic engineering, 715 00:36:58,450 --> 00:37:03,820 living to 150 will fairly soon be the new norm. 716 00:37:03,820 --> 00:37:05,960 Now, that sounds great. 717 00:37:05,960 --> 00:37:12,430 Who doesn't want more time to grow, to love, to create? 718 00:37:12,430 --> 00:37:17,500 But what happens if we keep pushing the limit... 719 00:37:17,500 --> 00:37:22,470 300, 500, maybe forever? 720 00:37:22,480 --> 00:37:24,980 You'd think a world where death is a rarity 721 00:37:24,980 --> 00:37:28,080 would be a utopia. 722 00:37:28,080 --> 00:37:30,610 But would it? 723 00:37:34,020 --> 00:37:38,460 Stephen cave is a professional philosopher. 724 00:37:38,460 --> 00:37:42,990 He thinks a lot about death. 725 00:37:43,000 --> 00:37:47,260 You might say it's what gets him out of bed in the morning. 726 00:37:47,270 --> 00:37:51,500 Most people, most of the time, are running away from death. 727 00:37:51,500 --> 00:37:52,940 We're terrified of death 728 00:37:52,940 --> 00:37:54,910 even though it's one of life's great certainties, 729 00:37:54,910 --> 00:37:56,510 along with taxes. 730 00:37:56,510 --> 00:37:59,280 Most people are in denial of it. 731 00:37:59,280 --> 00:38:01,780 But Stephen is a little different. 732 00:38:01,780 --> 00:38:05,180 He's actually running towards death. 733 00:38:05,180 --> 00:38:09,250 As he sees it, our civilization depends on it. 734 00:38:09,260 --> 00:38:11,360 I think it's important that we actually face up 735 00:38:11,360 --> 00:38:14,890 to mortality, that actually life is richer 736 00:38:14,890 --> 00:38:16,560 and better and more valuable 737 00:38:16,560 --> 00:38:20,030 when we recognize that it is limited. 738 00:38:20,030 --> 00:38:22,700 But that awareness of our own mortality causes 739 00:38:22,700 --> 00:38:24,500 an intense anxiety. 740 00:38:24,500 --> 00:38:28,510 To deal with it, we repress and deny it, 741 00:38:28,510 --> 00:38:31,280 and even lie to ourselves. 742 00:38:31,280 --> 00:38:35,710 Social psychologists call it terror management theory. 743 00:38:35,710 --> 00:38:38,820 But what do we do? How do we cope with that terror? 744 00:38:38,820 --> 00:38:43,320 Well, we tell ourselves stories that deny the reality of death, 745 00:38:43,320 --> 00:38:47,930 that tell us that somehow we can keep going forever. 746 00:38:47,930 --> 00:38:50,630 In other words, confront someone with the fact 747 00:38:50,630 --> 00:38:52,430 that they're going to die, 748 00:38:52,430 --> 00:38:56,530 and they will believe any story claiming we can live forever. 749 00:38:56,540 --> 00:39:00,270 So every civilization has some story 750 00:39:00,270 --> 00:39:02,310 about why we don't need to fear death. 751 00:39:02,310 --> 00:39:04,240 Now this might be a religion, for example, 752 00:39:04,240 --> 00:39:07,980 that promises that if we believe we can live forever in heaven. 753 00:39:07,980 --> 00:39:10,950 Or it might be patriotism or nationalism 754 00:39:10,950 --> 00:39:14,520 that promises we can live on as part of this greater whole. 755 00:39:18,760 --> 00:39:21,120 Imagine these identically dressed runners 756 00:39:21,130 --> 00:39:25,060 represent one subgroup of human society. 757 00:39:25,060 --> 00:39:28,430 And now suppose that the group splits in two, 758 00:39:28,430 --> 00:39:31,940 with each half taking different paths through the city. 759 00:39:31,940 --> 00:39:35,310 The two groups remain indistinguishable 760 00:39:35,310 --> 00:39:37,270 from one another, 761 00:39:37,280 --> 00:39:40,080 until one passes through a graveyard. 762 00:39:40,080 --> 00:39:43,410 The group who have been running past the cemetery 763 00:39:43,420 --> 00:39:46,180 will unconsciously have been reminded about death, 764 00:39:46,190 --> 00:39:49,050 and because of that they will be in a different state of mind 765 00:39:49,050 --> 00:39:51,660 when they finish their run. 766 00:39:51,660 --> 00:39:54,260 When the members of the group join back together, 767 00:39:54,260 --> 00:39:58,260 they meet a pair of individuals who belong to a new group. 768 00:39:58,260 --> 00:40:00,530 The members of the group who saw the tombstones 769 00:40:00,530 --> 00:40:03,300 aren't interested in the outsiders. 770 00:40:03,300 --> 00:40:05,070 Those who never saw the reminders 771 00:40:05,070 --> 00:40:08,440 of the dead are more open-minded. 772 00:40:08,440 --> 00:40:11,440 Over 400 studies have shown merely thinking about death 773 00:40:11,440 --> 00:40:15,250 causes us to pull tighter into our social groups. 774 00:40:15,250 --> 00:40:17,110 This may sound like a bad thing, 775 00:40:17,120 --> 00:40:19,950 but Stephen argues that, on balance, 776 00:40:19,950 --> 00:40:23,750 over the course of history, it has not been. 777 00:40:23,760 --> 00:40:26,260 Fear of death is the engine that drives us 778 00:40:26,260 --> 00:40:28,530 to create tight-knit societies, 779 00:40:28,530 --> 00:40:33,700 and from that culture and civilization itself are born. 780 00:40:33,700 --> 00:40:38,770 So much of what we've built is about helping us to live longer. 781 00:40:38,770 --> 00:40:41,340 And if we can't stay alive physically, you know, 782 00:40:41,340 --> 00:40:43,140 if buildings and medicine 783 00:40:43,140 --> 00:40:45,140 and science doesn't do it for us, 784 00:40:45,140 --> 00:40:47,780 then we've got art and culture and religion 785 00:40:47,780 --> 00:40:49,410 that helps to carry us forward, 786 00:40:49,420 --> 00:40:52,180 even after bodily death. 787 00:40:52,180 --> 00:40:55,390 Stephen believes all civilizations exist 788 00:40:55,390 --> 00:40:58,390 to defend us against the fear of death. 789 00:40:58,390 --> 00:41:00,190 Without the fear of death, 790 00:41:00,190 --> 00:41:04,600 humanity as we know it would cease to exist. 791 00:41:04,600 --> 00:41:06,760 If we all woke up tomorrow and found ourselves immortal, 792 00:41:06,770 --> 00:41:09,830 then there would be profound changes in our society. 793 00:41:09,840 --> 00:41:12,670 Religion would lose its unique selling point. 794 00:41:12,670 --> 00:41:14,740 We wouldn't need to sign up 795 00:41:14,740 --> 00:41:16,440 in order to get eternity in heaven 796 00:41:16,440 --> 00:41:19,210 if we already had eternity here on earth. 797 00:41:19,210 --> 00:41:23,280 The inevitability that our lives will one day end 798 00:41:23,280 --> 00:41:25,620 has spurred us to leave a legacy, 799 00:41:25,620 --> 00:41:28,550 to create literature, art, technology, 800 00:41:28,550 --> 00:41:30,920 everything that makes us who we are. 801 00:41:30,920 --> 00:41:33,920 Rather than paralyzing us with fear, 802 00:41:33,930 --> 00:41:36,690 Stephen believes knowledge of our demise 803 00:41:36,700 --> 00:41:39,160 can help us live. 804 00:41:39,160 --> 00:41:41,630 You can see life as like a book. 805 00:41:41,630 --> 00:41:43,970 Just as a book is bounded by its covers, 806 00:41:43,970 --> 00:41:47,600 so our lives are bounded by beginning and end. 807 00:41:47,610 --> 00:41:50,870 And even though a book is limited by its cover, 808 00:41:50,880 --> 00:41:54,380 still it can encompass fantastic adventures 809 00:41:54,380 --> 00:41:56,910 and distant landscapes and exotic figures. 810 00:41:56,920 --> 00:41:59,120 The characters in a book, 811 00:41:59,120 --> 00:42:04,120 they're not afraid of you reaching the last page. 812 00:42:04,120 --> 00:42:05,260 And so we shouldn't worry 813 00:42:05,260 --> 00:42:08,090 about whether our story is long or short, 814 00:42:08,090 --> 00:42:10,260 whether it's a comic story or an epic. 815 00:42:10,260 --> 00:42:13,960 We should just focus on making it a good story. 816 00:42:15,930 --> 00:42:20,200 We've been so busy striving to cheat death, 817 00:42:20,210 --> 00:42:23,140 we forgot to ask ourselves if we really want to live 818 00:42:23,140 --> 00:42:26,040 in a world filled with immortals. 819 00:42:26,050 --> 00:42:29,350 As science allows life to last longer, 820 00:42:29,350 --> 00:42:32,020 it may also grow sweeter, 821 00:42:32,020 --> 00:42:35,390 free from disease, physical infirmity, 822 00:42:35,390 --> 00:42:38,620 and the slow decay of the mind. 823 00:42:38,620 --> 00:42:41,560 But nothing needs to last forever. 824 00:42:41,560 --> 00:42:46,130 To the young, death's shadow brings fear. 825 00:42:46,130 --> 00:42:50,230 But to a man of my age, it brings vigor, 826 00:42:50,240 --> 00:42:54,070 the desire to do what I love while I still have time. 827 00:42:54,070 --> 00:42:56,570 Oh, I'm happy to cheat death, 828 00:42:56,580 --> 00:43:00,710 but only as long as my passion for life remains. 64545

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