WEBVTT 00:00:00.359 --> 00:00:04.355 This is a thousand-year-old drawing of the brain. 00:00:04.355 --> 00:00:06.267 It's a diagram of the visual system. 00:00:06.267 --> 00:00:09.017 And some things look very familiar today. 00:00:09.017 --> 00:00:13.384 Two eyes at the bottom, optic nerve flowing out from the back. 00:00:13.384 --> 00:00:15.504 There's a very large nose 00:00:15.504 --> 00:00:18.821 that doesn't seem to be connected to anything in particular. NOTE Paragraph 00:00:18.821 --> 00:00:20.521 And if we compare this 00:00:20.521 --> 00:00:22.595 to more recent representations of the visual system, 00:00:22.595 --> 00:00:25.552 you'll see that things have gotten substantially more complicated 00:00:25.552 --> 00:00:27.125 over the intervening thousand years. 00:00:27.125 --> 00:00:30.090 And that's because today we can see what's inside of the brain, 00:00:30.090 --> 00:00:32.571 rather than just looking at its overall shape. NOTE Paragraph 00:00:32.571 --> 00:00:36.550 Imagine you wanted to understand how a computer works 00:00:36.550 --> 00:00:39.729 and all you could see was a keyboard, a mouse, a screen. 00:00:39.729 --> 00:00:42.125 You really would be kind of out of luck. 00:00:42.125 --> 00:00:44.167 You want to be able to open it up, crack it open, 00:00:44.167 --> 00:00:46.011 look at the wiring inside. 00:00:46.011 --> 00:00:47.875 And up until a little more than a century ago, 00:00:47.875 --> 00:00:49.875 nobody was able to do that with the brain. 00:00:49.875 --> 00:00:51.755 Nobody had had a glimpse of the brain's wiring. NOTE Paragraph 00:00:51.755 --> 00:00:54.707 And that's because if you take a brain out of the skull 00:00:54.707 --> 00:00:56.396 and you cut a thin slice of it, 00:00:56.396 --> 00:00:58.894 put it under even a very powerful microscope, 00:00:58.894 --> 00:01:00.075 there's nothing there. 00:01:00.075 --> 00:01:01.688 It's gray, formless. 00:01:01.688 --> 00:01:04.292 There's no structure. It won't tell you anything. NOTE Paragraph 00:01:04.292 --> 00:01:07.146 And this all changed in the late 19th century. 00:01:07.146 --> 00:01:11.021 Suddenly, new chemical stains for brain tissue were developed 00:01:11.021 --> 00:01:13.833 and they gave us our first glimpses at brain wiring. 00:01:13.833 --> 00:01:15.846 The computer was cracked open. NOTE Paragraph 00:01:15.846 --> 00:01:18.702 So what really launched modern neuroscience 00:01:18.702 --> 00:01:20.667 was a stain called the Golgi stain. 00:01:20.667 --> 00:01:22.548 And it works in a very particular way. 00:01:22.548 --> 00:01:25.658 Instead of staining all of the cells inside of a tissue, 00:01:25.658 --> 00:01:28.690 it somehow only stains about one percent of them. 00:01:28.690 --> 00:01:32.032 It clears the forest, reveals the trees inside. 00:01:32.032 --> 00:01:34.704 If everything had been labeled, nothing would have been visible. 00:01:34.704 --> 00:01:36.750 So somehow it shows what's there. NOTE Paragraph 00:01:36.750 --> 00:01:39.417 Spanish neuroanatomist Santiago Ramon y Cajal, 00:01:39.417 --> 00:01:42.262 who's widely considered the father of modern neuroscience, 00:01:42.262 --> 00:01:46.159 applied this Golgi stain, which yields data which looks like this, 00:01:46.159 --> 00:01:49.917 and really gave us the modern notion of the nerve cell, the neuron. 00:01:49.917 --> 00:01:52.531 And if you're thinking of the brain as a computer, 00:01:52.531 --> 00:01:54.542 this is the transistor. 00:01:54.542 --> 00:01:56.617 And very quickly Cajal realized 00:01:56.617 --> 00:01:58.954 that neurons don't operate alone, 00:01:58.954 --> 00:02:00.792 but rather make connections with others 00:02:00.792 --> 00:02:03.298 that form circuits just like in a computer. 00:02:03.298 --> 00:02:06.689 Today, a century later, when researchers want to visualize neurons, 00:02:06.689 --> 00:02:09.456 they light them up from the inside rather than darkening them. 00:02:09.456 --> 00:02:10.606 And there's several ways of doing this. 00:02:10.606 --> 00:02:12.333 But one of the most popular ones 00:02:12.333 --> 00:02:14.425 involves green fluorescent protein. 00:02:14.425 --> 00:02:16.084 Now green fluorescent protein, 00:02:16.084 --> 00:02:19.229 which oddly enough comes from a bioluminescent jellyfish, 00:02:19.229 --> 00:02:20.467 is very useful. 00:02:20.467 --> 00:02:23.105 Because if you can get the gene for green fluorescent protein 00:02:23.105 --> 00:02:24.780 and deliver it to a cell, 00:02:24.780 --> 00:02:26.527 that cell will glow green -- 00:02:26.527 --> 00:02:30.273 or any of the many variants now of green fluorescent protein, 00:02:30.273 --> 00:02:31.937 you get a cell to glow many different colors. NOTE Paragraph 00:02:31.937 --> 00:02:33.458 And so coming back to the brain, 00:02:33.458 --> 00:02:37.258 this is from a genetically engineered mouse called "Brainbow." 00:02:37.258 --> 00:02:38.808 And it's so called, of course, 00:02:38.808 --> 00:02:42.420 because all of these neurons are glowing different colors. NOTE Paragraph 00:02:42.420 --> 00:02:45.871 Now sometimes neuroscientists need to identify 00:02:45.871 --> 00:02:48.915 individual molecular components of neurons, molecules, 00:02:48.915 --> 00:02:50.713 rather than the entire cell. 00:02:50.713 --> 00:02:52.419 And there's several ways of doing this, 00:02:52.419 --> 00:02:53.888 but one of the most popular ones 00:02:53.888 --> 00:02:56.083 involves using antibodies. 00:02:56.083 --> 00:02:57.420 And you're familiar, of course, 00:02:57.420 --> 00:03:00.371 with antibodies as the henchmen of the immune system. 00:03:00.371 --> 00:03:02.789 But it turns out that they're so useful to the immune system 00:03:02.789 --> 00:03:05.339 because they can recognize specific molecules, 00:03:05.339 --> 00:03:07.458 like, for example, the coat protein 00:03:07.458 --> 00:03:09.846 of a virus that's invading the body. 00:03:09.846 --> 00:03:11.891 And researchers have used this fact 00:03:11.891 --> 00:03:16.216 in order to recognize specific molecules inside of the brain, 00:03:16.216 --> 00:03:18.856 recognize specific substructures of the cell 00:03:18.856 --> 00:03:21.100 and identify them individually. NOTE Paragraph 00:03:21.100 --> 00:03:24.125 And a lot of the images I've been showing you here are very beautiful, 00:03:24.125 --> 00:03:26.031 but they're also very powerful. 00:03:26.031 --> 00:03:27.667 They have great explanatory power. 00:03:27.667 --> 00:03:29.757 This, for example, is an antibody staining 00:03:29.757 --> 00:03:33.277 against serotonin transporters in a slice of mouse brain. NOTE Paragraph 00:03:33.277 --> 00:03:34.958 And you've heard of serotonin, of course, 00:03:34.958 --> 00:03:37.785 in the context of diseases like depression and anxiety. 00:03:37.785 --> 00:03:39.193 You've heard of SSRIs, 00:03:39.193 --> 00:03:42.090 which are drugs that are used to treat these diseases. 00:03:42.090 --> 00:03:44.980 And in order to understand how serotonin works, 00:03:44.980 --> 00:03:48.056 it's critical to understand where the serontonin machinery is. 00:03:48.056 --> 00:03:49.652 And antibody stainings like this one 00:03:49.652 --> 00:03:53.198 can be used to understand that sort of question. NOTE Paragraph 00:03:53.198 --> 00:03:55.756 I'd like to leave you with the following thought: 00:03:55.756 --> 00:03:58.366 Green fluorescent protein and antibodies 00:03:58.366 --> 00:04:01.373 are both totally natural products at the get-go. 00:04:01.373 --> 00:04:04.152 They were evolved by nature 00:04:04.152 --> 00:04:06.719 in order to get a jellyfish to glow green for whatever reason, 00:04:06.719 --> 00:04:11.102 or in order to detect the coat protein of an invading virus, for example. 00:04:11.102 --> 00:04:14.119 And only much later did scientists come onto the scene 00:04:14.119 --> 00:04:16.142 and say, "Hey, these are tools, 00:04:16.142 --> 00:04:18.255 these are functions that we could use 00:04:18.255 --> 00:04:20.263 in our own research tool palette." 00:04:20.263 --> 00:04:23.891 And instead of applying feeble human minds 00:04:23.891 --> 00:04:25.775 to designing these tools from scratch, 00:04:25.775 --> 00:04:28.679 there were these ready-made solutions right out there in nature 00:04:28.679 --> 00:04:31.915 developed and refined steadily for millions of years 00:04:31.915 --> 00:04:33.615 by the greatest engineer of all. 00:04:33.615 --> 00:04:34.877 Thank you. 00:04:34.877 --> 00:04:37.415 (Applause)