Susan Solomon: The promise of research with stem cells

95,493 views ・ 2012-09-13

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00:00
Translator: Joseph Geni Reviewer: Morton Bast
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譯者: Yu-Sheng Lin 審譯者: Yuguo Zhang
00:16
So, embryonic stem cells
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在人的身體裡有一種神奇的細胞
00:19
are really incredible cells.
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叫做胚胎幹細胞
00:22
They are our body's own repair kits,
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這就像是身體裡的修補工具
00:25
and they're pluripotent, which means they can morph into
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而且這些細胞具有多樣的潛能,
00:28
all of the cells in our bodies.
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可以變成我們身體裡的各種細胞
00:30
Soon, we actually will be able to use stem cells
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在不久的將來, 我們應該可以利用這些幹細胞
00:33
to replace cells that are damaged or diseased.
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來替換身體裡損壞了的或是生病了的細胞
00:36
But that's not what I want to talk to you about,
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不過呢, 今天我所要談的不是這個方向
00:38
because right now there are some really
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今天要談的是關於
00:41
extraordinary things that we are doing with stem cells
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我們正在進行的關於幹細胞的特殊研究
00:45
that are completely changing
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這將會完全改變
00:47
the way we look and model disease,
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我們看待與學習疾病的方式
00:50
our ability to understand why we get sick,
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以及我們對於為什麼人會生病的研究
00:52
and even develop drugs.
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甚至於是藥物的開發
00:55
I truly believe that stem cell research is going to allow
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我深信幹細胞的研究, 可以讓我們的下一代
00:59
our children to look at Alzheimer's and diabetes
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面對阿茲海默症(老年癡呆)或是糖尿病這些重大疾病時
01:03
and other major diseases the way we view polio today,
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就如同我們現在面對脊髓灰質炎(小兒麻痺)一般
01:08
which is as a preventable disease.
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能有預防的方法
01:11
So here we have this incredible field, which has
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在幹細胞這個奇妙的研究領域
01:14
enormous hope for humanity,
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有著人類的許多新希望
01:19
but much like IVF over 35 years ago,
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但是就如同試管嬰兒這個研究領域 一直到了35年前
01:22
until the birth of a healthy baby, Louise,
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第一個健康的試管嬰兒 露薏絲 的誕生 (1978.07.25)
01:24
this field has been under siege politically and financially.
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才脫離了政治上與經費上的困境
01:29
Critical research is being challenged instead of supported,
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重要而具有爭議性的研究 經常被質疑的而不是被支持
01:34
and we saw that it was really essential to have
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所以我們認為, 一個私立的研究避風港
01:38
private safe haven laboratories where this work
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讓這些研究不受干擾
01:42
could be advanced without interference.
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是非常重要的
01:44
And so, in 2005,
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所以在2005年
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we started the New York Stem Cell Foundation Laboratory
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我們成立了 紐約幹細胞基金會實驗室
01:50
so that we would have a small organization that could
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這樣我們就可以有個小型組織
01:53
do this work and support it.
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來資助並進行相關的研究
01:57
What we saw very quickly is the world of both medical
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我們很快的就發現到
02:00
research, but also developing drugs and treatments,
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在醫學研究還有藥物與療程的發展這兩個領域
02:03
is dominated by, as you would expect, large organizations,
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如大家所預期的, 是由大型的組織所主宰的
02:07
but in a new field, sometimes large organizations
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但是這些大型組織, 在面對新的領域時
02:10
really have trouble getting out of their own way,
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常常會受限於既有的模式
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and sometimes they can't ask the right questions,
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有時候無法發現正確的問題方向
02:15
and there is an enormous gap that's just gotten larger
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而且在兩者之間鴻溝日益擴大
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between academic research on the one hand
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一邊是學術研究
02:21
and pharmaceutical companies and biotechs
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另一邊是研發新藥與療程的
02:24
that are responsible for delivering all of our drugs
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藥廠與生技公司
02:27
and many of our treatments, and so we knew that
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我們認為, 若想要
02:30
to really accelerate cures and therapies, we were going
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加速藥物與治療方式的發展,
02:34
to have to address this with two things:
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我們必須注重兩件事情
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new technologies and also a new research model.
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新的技術, 還有新的研究模式
02:40
Because if you don't close that gap, you really are
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因為如果不弭平兩邊的鴻溝
02:43
exactly where we are today.
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我們只會停留在目前的困境中
02:45
And that's what I want to focus on.
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這就是我想要強調的
02:47
We've spent the last couple of years pondering this,
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我們花了過去幾年的時光在這上頭
02:50
making a list of the different things that we had to do,
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列出了我們想做的一些研究主題
02:53
and so we developed a new technology,
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開發了一個新的技術
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It's software and hardware,
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包括軟體與硬體
02:56
that actually can generate thousands and thousands of
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可以用來產生數以百萬計的
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genetically diverse stem cell lines to create
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不同的遺傳多樣性幹細胞系列, 來建構一個
03:03
a global array, essentially avatars of ourselves.
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全面性的陣列, 本質上就是我們的多重化身
03:07
And we did this because we think that it's actually going
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我們做這件事的出發點, 是基於
03:10
to allow us to realize the potential, the promise,
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想要了解人類基因序列的
03:14
of all of the sequencing of the human genome,
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各種潛在可能性
03:17
but it's going to allow us, in doing that,
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以這種方式我們將可以在培養皿裡面
03:19
to actually do clinical trials in a dish with human cells,
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針對真的人體細胞進行各項臨床實驗
03:24
not animal cells, to generate drugs and treatments
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而不是以動物的細胞, 來進行藥物與療程的開發
03:29
that are much more effective, much safer,
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這將會是一種更有效, 更安全
03:32
much faster, and at a much lower cost.
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更快速, 更便宜的做法
03:35
So let me put that in perspective for you
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接下來讓我先作一些說明
03:37
and give you some context.
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讓各位了解相關的背景
03:39
This is an extremely new field.
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這是一個非常新的研究領域
03:44
In 1998, human embryonic stem cells
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人類的胚胎幹細胞, 在 1998 年
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were first identified, and just nine years later,
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第一次被分離出來, 而在僅僅九年之後
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a group of scientists in Japan were able to take skin cells
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一群日本的科學家, 發展出了將表皮細胞
03:54
and reprogram them with very powerful viruses
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透過非常強力的病毒進行改造
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to create a kind of pluripotent stem cell
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產出了一種具有多種潛能的幹細胞
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called an induced pluripotent stem cell,
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叫做 誘導式多能性幹細胞
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or what we refer to as an IPS cell.
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簡稱 IPS 細胞
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This was really an extraordinary advance, because
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這是一個非常重要的突破, 因為
04:10
although these cells are not human embryonic stem cells,
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雖然這種幹細胞並不是 人類胚胎幹細胞
04:13
which still remain the gold standard,
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不算是 研究上的黃金標準等級的幹細胞
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they are terrific to use for modeling disease
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但是仍然非常的有用, 可以用來建構疾病的模型
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and potentially for drug discovery.
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也有機會用來發展新藥
04:21
So a few months later, in 2008, one of our scientists
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在幾個月之後, 我們的一位科學家, 在 2008年的時候
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built on that research. He took skin biopsies,
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以前面提到的研究為基礎, 從一個 漸凍人(ALS),
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this time from people who had a disease,
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在英國也稱為 運動神經元疾病
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ALS, or as you call it in the U.K., motor neuron disease.
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的患者的表皮組織切片
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He turned them into the IPS cells
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培養出前面提到的 IPS 細胞
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that I've just told you about, and then he turned those
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並且將這些 IPS 細胞轉化為
04:36
IPS cells into the motor neurons that actually
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在這種漸凍人疾病中
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were dying in the disease.
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實際會逐漸凋亡的運動神經元細胞
04:40
So basically what he did was to take a healthy cell
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所以基本上我們可以把患者身上的一個健康的細胞
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and turn it into a sick cell,
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轉化成具有該病症的生病細胞
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and he recapitulated the disease over and over again
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並且在培養皿裡面一次又一次重覆這樣的程序
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in the dish, and this was extraordinary,
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這是一個非凡的成果
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because it was the first time that we had a model
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因為這是我們第一次可以掌握一個疾病的模型
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of a disease from a living patient in living human cells.
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直接從病人的身上取得的活體細胞來研究
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And as he watched the disease unfold, he was able
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當他觀察這個疾病的過程時, 發現到
05:02
to discover that actually the motor neurons were dying
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這些運動神經元細胞的實際致死因素
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in the disease in a different way than the field
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與先前研究所認知的不同
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had previously thought. There was another kind of cell
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是由於有另一種細胞
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that actually was sending out a toxin
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釋放出了某種毒素
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and contributing to the death of these motor neurons,
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才導致了運動神經元的凋亡
05:14
and you simply couldn't see it
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而這樣的發現只有透過這種新的人體細胞模式
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until you had the human model.
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才有辦法被觀察到
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So you could really say that
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所以基本上可以這樣說
05:20
researchers trying to understand the cause of disease
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研究者在研究疾病原因的時候
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without being able to have human stem cell models
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如果沒有辦法透過人體幹細胞這種方式
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were much like investigators trying to figure out
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就好像墜機事件的調查員
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what had gone terribly wrong in a plane crash
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想找出飛機到底出了什麼差錯而墜毀
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without having a black box, or a flight recorder.
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卻沒有找到黑盒子 (飛行記錄器) 一般的困難
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They could hypothesize about what had gone wrong,
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他們可以假設一些可能出錯的原因
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but they really had no way of knowing what led
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但是卻無法明白導致悲慘事件的
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to the terrible events.
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真正成因
05:46
And stem cells really have given us the black box
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而幹細胞就是我們研究疾病時的黑盒子
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for diseases, and it's an unprecedented window.
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這種方式開啟了一個嶄新的門戶
05:54
It really is extraordinary, because you can recapitulate
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這真的是一項非比尋常的突破
05:57
many, many diseases in a dish, you can see
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因為你可以在培養皿裡面, 一再重複各種疾病的進程
06:00
what begins to go wrong in the cellular conversation
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觀察到在細胞層次的轉換發生了什麼問題
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well before you would ever see
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可以早到病人身上
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symptoms appear in a patient.
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都還沒有出現疾病癥狀之前
06:09
And this opens up the ability,
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而這樣的研究也開啟了一種可能性
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which hopefully will become something that
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在不久的將來, 以人體細胞
06:14
is routine in the near term,
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來進行藥物測試
06:17
of using human cells to test for drugs.
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可以成為標準的研究流程
06:21
Right now, the way we test for drugs is pretty problematic.
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在目前, 進行藥物測試的方法有相當多的問題
06:26
To bring a successful drug to market, it takes, on average,
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要把一種新藥導入到市場
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13 years — that's one drug —
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平均要花13年的時間
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with a sunk cost of 4 billion dollars,
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並且花費40億美元的成本, 才能完成
06:35
and only one percent of the drugs that start down that road
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而且在新藥研發的統計上
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are actually going to get there.
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只有百分之一的比例能成功進行到市場導入的階段
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You can't imagine other businesses
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你無法想像在其他的行業中
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that you would think of going into
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在發展並成功推出一項新產品時
06:46
that have these kind of numbers.
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會有這麼高的成本與時間
06:48
It's a terrible business model.
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這樣的模式在商業上來看很糟糕
06:49
But it is really a worse social model because of
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從社會的角度來看更糟糕
06:53
what's involved and the cost to all of us.
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這些成本都是我們要去負擔的
06:57
So the way we develop drugs now
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在目前開發新藥的方式
07:01
is by testing promising compounds on --
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是將一些可能具有效果的化合物
07:04
We didn't have disease modeling with human cells,
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在還沒有人體細胞的疾病模式的方式之前
07:06
so we'd been testing them on cells of mice
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只能利用老鼠或是其他動物的細胞
07:09
or other creatures or cells that we engineer,
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來進行藥物實驗
07:13
but they don't have the characteristics of the diseases
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但是這些被拿來做實驗的動物細胞
07:16
that we're actually trying to cure.
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並不具備我們想治療的疾病的特性
07:18
You know, we're not mice, and you can't go into
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畢竟人不是老鼠
07:21
a living person with an illness
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你也不能直接找一個病人
07:24
and just pull out a few brain cells or cardiac cells
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直接取出他的腦細胞或是心血管細胞
07:27
and then start fooling around in a lab to test
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拿到實驗室裡來測試
07:29
for, you know, a promising drug.
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可能具有療效的新藥
07:32
But what you can do with human stem cells, now,
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而我們發展出這種人體幹細胞的研究方式之後
07:36
is actually create avatars, and you can create the cells,
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就可以製造出疾病患者的各種細胞分身
07:40
whether it's the live motor neurons
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例如 運動神經元細胞
07:42
or the beating cardiac cells or liver cells
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心血管細胞, 肝臟細胞
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or other kinds of cells, and you can test for drugs,
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來進行藥物測試
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promising compounds, on the actual cells
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可能有效的化合物, 用在實際的細胞上
07:53
that you're trying to affect, and this is now,
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來驗證想要發生的效果, 現在有辦法做到了.
07:56
and it's absolutely extraordinary,
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這絕對是空前的突破
07:59
and you're going to know at the beginning,
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你將可以在一開始的時候
08:02
the very early stages of doing your assay development
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從藥物分析開發與測試的最早階段
08:06
and your testing, you're not going to have to wait 13 years
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而不是等了13年的時間
08:09
until you've brought a drug to market, only to find out
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直到藥物導入市場的階段, 才發現沒有療效
08:13
that actually it doesn't work, or even worse, harms people.
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甚至更糟的, 是會傷害到人體的
08:18
But it isn't really enough just to look at
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更進一步來說,
08:22
the cells from a few people or a small group of people,
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只從一小群人的細胞 來做這樣的實驗是不夠的
08:26
because we have to step back.
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如果我們退一步來看
08:27
We've got to look at the big picture.
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必須從更廣泛的角度來思考
08:29
Look around this room. We are all different,
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就以這個房間裡的人來說, 大家都不一樣
08:32
and a disease that I might have,
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一種疾病對我的影響
08:35
if I had Alzheimer's disease or Parkinson's disease,
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比如說 阿茲海默症 或是 巴金森氏症
08:38
it probably would affect me differently than if
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很可能會不同於
08:42
one of you had that disease,
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另外一個得到相同疾病的人
08:43
and if we both had Parkinson's disease,
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就算兩個人得到相同的 帕金森(Parkinson's)症
08:48
and we took the same medication,
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採取相同的治療方式與藥物
08:50
but we had different genetic makeup,
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也可能因為兩個人的基因組成不同
08:53
we probably would have a different result,
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而產生不同的治療結果
08:55
and it could well be that a drug that worked wonderfully
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有可能同樣的藥物對其中一人有神奇的療效
08:59
for me was actually ineffective for you,
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對另一個人卻完全沒有效果
09:02
and similarly, it could be that a drug that is harmful for you
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同樣的, 一種藥可能對你產生傷害
09:07
is safe for me, and, you know, this seems totally obvious,
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對我卻是安全的. 這聽起來很明顯的道理
09:11
but unfortunately it is not the way
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卻不幸地沒有被
09:14
that the pharmaceutical industry has been developing drugs
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製藥產業在開發藥物時進行實施
09:17
because, until now, it hasn't had the tools.
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因為在今天之前, 並沒有適當的工具可用.
09:21
And so we need to move away
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我們必須脫離這種
09:24
from this one-size-fits-all model.
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"一視同仁" 的模式
09:27
The way we've been developing drugs is essentially
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過去的藥物發展方式
09:30
like going into a shoe store,
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就像是進到一家鞋店
09:31
no one asks you what size you are, or
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沒有人問你腳的尺寸
09:33
if you're going dancing or hiking.
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也沒人管你是要用來跳舞或健行
09:36
They just say, "Well, you have feet, here are your shoes."
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店員只告訴你, "嗯, 你有一雙腳, 我們賣你這雙鞋"
09:38
It doesn't work with shoes, and our bodies are
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這樣賣鞋是行不通的. 而人的身體
09:42
many times more complicated than just our feet.
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比穿鞋的腳要複雜上許多倍
09:45
So we really have to change this.
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所以這樣的方式真的需要改變.
09:48
There was a very sad example of this in the last decade.
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在過去的十年間, 有一個不幸的例子
09:53
There's a wonderful drug, and a class of drugs actually,
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有一種藥, 詳細點說來是一種藥系
09:56
but the particular drug was Vioxx, and
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叫做 Vioxx 的關節炎藥品
09:59
for people who were suffering from severe arthritis pain,
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對於關節疼痛的患者
10:03
the drug was an absolute lifesaver,
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簡直就是救命仙丹
10:06
but unfortunately, for another subset of those people,
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但不幸的對於其中的一些患者
10:11
they suffered pretty severe heart side effects,
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會產生嚴重的心臟方面的副作用
10:16
and for a subset of those people, the side effects were
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這些產生副作用的患者中
10:19
so severe, the cardiac side effects, that they were fatal.
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有些還因此而死亡
10:23
But imagine a different scenario,
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如果能在未來採用不同的做法
10:27
where we could have had an array, a genetically diverse array,
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想像我們能有一個在基因上多樣化的陣列的
10:31
of cardiac cells, and we could have actually tested
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心血管細胞類型, 我們可以測試這種Vioxx 藥物
10:35
that drug, Vioxx, in petri dishes, and figured out,
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在培養皿裡就能發現到
10:40
well, okay, people with this genetic type are going to have
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某種基因類型的人, 會產生心血管方面的副作用
10:44
cardiac side effects, people with these genetic subgroups
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另外一些種類基因類型的人
10:49
or genetic shoes sizes, about 25,000 of them,
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大約有 25,000 種,
10:54
are not going to have any problems.
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是不會產生副作用的
10:56
The people for whom it was a lifesaver
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那麼這些人仍然可以使用這種藥物
10:59
could have still taken their medicine.
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當作是關節疼痛的救命仙丹
11:01
The people for whom it was a disaster, or fatal,
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而另外那些會產生致命副作用的人
11:05
would never have been given it, and
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就不會被開立這種藥的處方
11:07
you can imagine a very different outcome for the company,
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你可以想像這家藥廠, 將可以有完全不同於
11:10
who had to withdraw the drug.
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完全回收這種藥物所造成的下場 (股價大跌)
11:13
So that is terrific,
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這樣不是很棒嗎?
11:15
and we thought, all right,
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所以呢,
11:17
as we're trying to solve this problem,
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當我們試著解決這個問題的時候
11:20
clearly we have to think about genetics,
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很明確的我們必須考慮基因學
11:22
we have to think about human testing,
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我們必須考慮藥物的人體測試
11:25
but there's a fundamental problem,
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而且還有個更根本的難題
11:27
because right now, stem cell lines,
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就是目前這些幹細胞系列
11:29
as extraordinary as they are,
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雖然如此的非凡與特別
11:31
and lines are just groups of cells,
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仍然只是一群的細胞
11:33
they are made by hand, one at a time,
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必須用人工一個一個的培育
11:37
and it takes a couple of months.
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每次需要花上幾個月的時間
11:39
This is not scalable, and also when you do things by hand,
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這樣是無法擴大規模的, 而且用手工的方式
11:44
even in the best laboratories,
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就算是在最好的實驗室
11:45
you have variations in techniques,
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也會因為操作技巧而造成差異
11:48
and you need to know, if you're making a drug,
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但是在藥物的生產上必須要能一致化
11:52
that the Aspirin you're going to take out of the bottle
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你買了一瓶阿斯匹靈打開來,
11:53
on Monday is the same as the Aspirin
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星期一拿出一顆來吃
11:56
that's going to come out of the bottle on Wednesday.
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跟你在星期三拿出來吃的那顆是完全相同的
11:58
So we looked at this, and we thought, okay,
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從這點來看, 我們知道
12:02
artisanal is wonderful in, you know, your clothing
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手工生產是不錯的, 如果是衣服
12:05
and your bread and crafts, but
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麵包或是工藝品這些東西
12:08
artisanal really isn't going to work in stem cells,
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但如果是 幹細胞 的生產, 手工是行不通的
12:11
so we have to deal with this.
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這個問題必須被解決
12:13
But even with that, there still was another big hurdle,
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除此之外, 還有另外一個大難題
12:17
and that actually brings us back to
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就是回歸到
12:21
the mapping of the human genome, because
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人的基因序列
12:23
we're all different.
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每個人都不一樣
12:26
We know from the sequencing of the human genome
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每個人的基因序列
12:29
that it's shown us all of the A's, C's, G's and T's
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都是由四種核苷酸 A, C, G, T
12:31
that make up our genetic code,
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組成我們的基因碼
12:34
but that code, by itself, our DNA,
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但是這些基因碼, 就是我們的 DNA
12:38
is like looking at the ones and zeroes of the computer code
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就像是電腦裡面的 1 與 0 這些位元碼
12:43
without having a computer that can read it.
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但是我們並沒有能讀基因碼的電腦
12:45
It's like having an app without having a smartphone.
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我們現在就像是有了手機APP 但是還沒有智慧型手機
12:49
We needed to have a way of bringing the biology
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我們需要找出一種方式, 將生物學
12:53
to that incredible data,
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對應到這些基因碼
12:55
and the way to do that was to find
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而可行的方式是找到
12:58
a stand-in, a biological stand-in,
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一種生物學上的 替身
13:01
that could contain all of the genetic information,
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可以涵蓋所有的基因資訊
13:05
but have it be arrayed in such a way
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並且能夠進行各種基因排列
13:07
as it could be read together
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並且能夠被解讀
13:10
and actually create this incredible avatar.
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而且實際製作出各種特別的分身
13:13
We need to have stem cells from all the genetic sub-types
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我們需要收集各種基因類型的幹細胞
13:17
that represent who we are.
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來代表各種類型的人
13:20
So this is what we've built.
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這裡可以看到我們已經發展的
13:23
It's an automated robotic technology.
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一套自動化機械化的技術
13:26
It has the capacity to produce thousands and thousands
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具備產生數以百萬計的幹細胞系列的能力
13:29
of stem cell lines. It's genetically arrayed.
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能夠產生多樣化的基因陣列
13:33
It has massively parallel processing capability,
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可以進行大規模的平行作業
13:37
and it's going to change the way drugs are discovered,
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這將會改變發現新藥的方式
13:40
we hope, and I think eventually what's going to happen
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我們衷心的希望, 而且相信在未來遲早會成真
13:44
is that we're going to want to re-screen drugs,
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就是對藥物重新進行檢測
13:46
on arrays like this, that already exist,
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用已收集到的各種幹細胞基因系列,
13:48
all of the drugs that currently exist,
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來檢測目前存在的所有藥物
13:50
and in the future, you're going to be taking drugs
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而在未來, 我們所服用的藥物還有所接受的治療
13:53
and treatments that have been tested for side effects
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都會事先被測試過, 對身體的各種器官的細胞
13:56
on all of the relevant cells,
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是否會產生副作用
13:58
on brain cells and heart cells and liver cells.
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例如 腦細胞 心血管細胞 肝細胞 等等
14:02
It really has brought us to the threshold
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這將會帶領我們進到一個新的境界
14:05
of personalized medicine.
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製藥個人化的時代
14:07
It's here now, and in our family,
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我們所遭遇的, 就以我自己為例
14:11
my son has type 1 diabetes,
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我的兒子患有第一型的糖尿病
14:14
which is still an incurable disease,
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這在目前是無法治癒的
14:17
and I lost my parents to heart disease and cancer,
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我的父母親死於心臟病與癌症
14:21
but I think that my story probably sounds familiar to you,
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這聽起來可能讓你覺得很熟悉
14:24
because probably a version of it is your story.
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也許你也有類似的遭遇
14:28
At some point in our lives, all of us,
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在我們的人生中, 我們自己
14:32
or people we care about, become patients,
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或是我們在意的人, 都有生病的時候
14:35
and that's why I think that stem cell research
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這就是為什麼我們認為, 幹細胞研究
14:38
is incredibly important for all of us.
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對於每個人來說, 都是非常重要的
14:41
Thank you. (Applause)
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謝謝大家
14:45
(Applause)
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(掌聲)
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