1 00:00:01 --> 00:00:08 Good morning. Thank you. So, I want to continue today on the 2 00:00:08 --> 00:00:16 theme of neurobiology. Last time we spoke about the action 3 00:00:16 --> 00:00:24 potential mechanism. Today I'd like to go from action 4 00:00:24 --> 00:00:31 potential to the synapse. But let me briefly remind us what we 5 00:00:31 --> 00:00:37 say. So, I'm going to give section zero a recap here. 6 00:00:37 --> 00:00:44 The relevant things that we said last time was there's a membrane 7 00:00:44 --> 00:00:50 potential which at rest is about minus 70 millivolts as the membrane 8 00:00:50 --> 00:00:56 potential, and that's what we work with. That membrane potential is 9 00:00:56 --> 00:01:03 set up by concentration gradients. More calcium, more potassium on the 10 00:01:03 --> 00:01:09 inside. More sodium on the outside. More calcium on the outside. And 11 00:01:09 --> 00:01:16 I'm also going to mention chloride, there's more chloride on the outside 12 00:01:16 --> 00:01:23 at 116 millimolar, four millimolar on the outside. 13 00:01:23 --> 00:01:30 These concentration gradients are set up by various different pumps. 14 00:01:30 --> 00:01:37 They're there all the time. Then we have this resting channel. 15 00:01:37 --> 00:01:47 So, here we have transporters. 16 00:01:47 --> 00:01:53 We have a resting potassium channel. It means that it's open all the 17 00:01:53 --> 00:02:00 time. It's not activated by anything. 18 00:02:00 --> 00:02:04 That allows potassium to leave. Potassium leaves until it builds up 19 00:02:04 --> 00:02:08 this membrane potential about minus 70. At that point it is 20 00:02:08 --> 00:02:12 electrically unfavorable for more positive charges to go out into the 21 00:02:12 --> 00:02:17 more positive environment. Notwithstanding the greater 22 00:02:17 --> 00:02:21 internal concentration. And we reach an equilibrium 23 00:02:21 --> 00:02:25 potential of minus 70. We then have some voltage-gated 24 00:02:25 --> 00:02:32 channels. 25 00:02:32 --> 00:02:37 And the voltage-gated channels come in two flavors here. 26 00:02:37 --> 00:02:42 We have the voltage-gated sodium channel. The voltage-gated sodium 27 00:02:42 --> 00:02:47 channel opens itself up around minus 70. Oh, sorry, 28 00:02:47 --> 00:02:53 around minus 50. So, if you can get up to minus 50 29 00:02:53 --> 00:02:58 it opens up. Then your sodium rushes in. It shifts the membrane 30 00:02:58 --> 00:03:04 potential from minus 50 to zero to plus 50. 31 00:03:04 --> 00:03:10 The channel shuts. Somewhere around plus 30 or so 32 00:03:10 --> 00:03:17 opens the potassium channel, the voltage graded potassium channel, 33 00:03:17 --> 00:03:23 and allows the potassium to rush out and restore the resting potential. 34 00:03:23 --> 00:03:30 The effect of this is that, if this is zero here, we have 35 00:03:30 --> 00:03:36 a resting potential. If we climb up a little bit above it 36 00:03:36 --> 00:03:40 we shoot up and then we come back down. And then a millisecond or so 37 00:03:40 --> 00:03:44 later another action potential could go down that same neuron. 38 00:03:44 --> 00:03:48 And, last of all, if we look along the length of an axon, 39 00:03:48 --> 00:03:53 an action potential here causes charges to migrate over which 40 00:03:53 --> 00:03:57 launches an action potential here which causes charges to migrate over 41 00:03:57 --> 00:04:01 which etc., etc. propagates an action potential down 42 00:04:01 --> 00:04:06 the length. It's a beautiful system. 43 00:04:06 --> 00:04:10 And then the very last thing was that by insulating this we were able 44 00:04:10 --> 00:04:14 to make the conduction velocity go faster by effectively making the 45 00:04:14 --> 00:04:18 effective length be shorter there being a whole bunch of electrically 46 00:04:18 --> 00:04:22 insulated regions. So, that's it. It's a beautiful 47 00:04:22 --> 00:04:26 piece of engineering. How do we know any of this is true? 48 00:04:26 --> 00:04:29 As an interesting side point, 49 00:04:29 --> 00:04:33 I might just mention that when this was worked out, 50 00:04:33 --> 00:04:36 this was worked out by two folks called Hodgkin and Huxley. 51 00:04:36 --> 00:04:40 Hodgkin and Huxley won a Nobel prize for this beautiful work on 52 00:04:40 --> 00:04:43 this squid giant axon which is the fastest axon that there is. 53 00:04:43 --> 00:04:47 And here we're not talking about the giant squid somebody raised last 54 00:04:47 --> 00:04:50 time. It's an ordinary squid. It has one big fat axon. It's 55 00:04:50 --> 00:04:54 sufficiently big that you can just like stick a wire in the middle of 56 00:04:54 --> 00:04:57 it and all that. It's a very big axon. 57 00:04:57 --> 00:05:01 It's a very, very high diameter axon. 58 00:05:01 --> 00:05:04 And they were able to measure these things electrically. 59 00:05:04 --> 00:05:07 And on the basis of the electrical measurements they made in different 60 00:05:07 --> 00:05:10 kinds of solutions, they were able to infer the 61 00:05:10 --> 00:05:13 existence of sodium channels and potassium channels. 62 00:05:13 --> 00:05:17 But this all happened mid 20th century. And they certainly 63 00:05:17 --> 00:05:20 couldn't see any. They couldn't clone them. 64 00:05:20 --> 00:05:23 They couldn't see anything. And so the notion that there were 65 00:05:23 --> 00:05:26 individual molecular channels that swung open, did all this stuff was 66 00:05:26 --> 00:05:30 an indirect inference, maybe kind of a little bit like 67 00:05:30 --> 00:05:33 Mendel's inference of a gene or Sturtevant's inference 68 00:05:33 --> 00:05:37 of genetic maps. But more recently people have come 69 00:05:37 --> 00:05:42 along with an extraordinary technology, also these people won a 70 00:05:42 --> 00:05:47 Nobel prize for this because it was way cool, which is called the Patch 71 00:05:47 --> 00:05:52 Clamp. The patch clamp is the following ridiculously simple 72 00:05:52 --> 00:05:58 technology. Suppose I were to make a glass pipette. 73 00:05:58 --> 00:06:04 So, this is a cross-section of a glass pipette. 74 00:06:04 --> 00:06:10 So, it goes around like that. And I could bring it up really 75 00:06:10 --> 00:06:16 tight up against the membrane. And suppose I did it in such a way 76 00:06:16 --> 00:06:22 that I could get a really great seal and I just have a teeny patch of 77 00:06:22 --> 00:06:28 membrane. Suppose that teeny patch of membrane had just 78 00:06:28 --> 00:06:35 one channel in it. And now, so this is a pipette, 79 00:06:35 --> 00:06:41 suppose I were to rip off that patch of membrane from the cell, 80 00:06:41 --> 00:06:48 poor cell, and have a glass pipette with a little patch of membrane on 81 00:06:48 --> 00:06:54 its end with a single isolated ion channel. Now, 82 00:06:54 --> 00:07:01 if I measured the current through this channel by putting it in an 83 00:07:01 --> 00:07:07 appropriate solution, maybe I ripped off a resting 84 00:07:07 --> 00:07:13 potassium channel, OK? If I put this in a potassium 85 00:07:13 --> 00:07:18 solution and I apply a current, I apply a voltage difference, I 86 00:07:18 --> 00:07:23 should be able to see a current. And you can actually measure a 87 00:07:23 --> 00:07:28 current. Even more cool, if I do this and I've ripped off a 88 00:07:28 --> 00:07:33 voltage-gated sodium channel, then it turns out that I ought to be 89 00:07:33 --> 00:07:38 able to study its properties by changing the voltage on it and 90 00:07:38 --> 00:07:44 measuring the current as a function of the voltage. 91 00:07:44 --> 00:07:49 And, well, it turns out that if I do this I'm able to measure in resting 92 00:07:49 --> 00:07:55 or in these voltage-gated channels current flows conductivities, 93 00:07:55 --> 00:08:01 actually, what I'm really measuring is the conductivity of the channel 94 00:08:01 --> 00:08:07 like this, I can see the channel opening and closing and opening and 95 00:08:07 --> 00:08:12 closing quantily. I can measure quantily the 96 00:08:12 --> 00:08:18 conductivity. That's not quantum mechanics. It's just quanta 97 00:08:18 --> 00:08:23 measurements of the conductivity. What would happen if I had two 98 00:08:23 --> 00:08:29 channels that had been ripped off? Now I'd see it go like this. 99 00:08:29 --> 00:08:32 Well, maybe another one opens. Oops, now one closes. Now the 100 00:08:32 --> 00:08:36 other one closes. And quite remarkably you can get 101 00:08:36 --> 00:08:39 this. So, you can study single molecule, single molecular channels. 102 00:08:39 --> 00:08:43 You want to know how this channel opens and at what voltage it opens? 103 00:08:43 --> 00:08:46 Just dial in the voltage and see if it's open. Do you want to know how 104 00:08:46 --> 00:08:50 long it stays open? Just turn it on and see how long it 105 00:08:50 --> 00:08:53 stays open. It's really cool. You want to see if any other 106 00:08:53 --> 00:08:57 chemicals could affect it, any ions, any other intracellular or 107 00:08:57 --> 00:09:01 extra cellular chemicals? You can do it. 108 00:09:01 --> 00:09:05 So, the ability to study isolated single channels came along with 109 00:09:05 --> 00:09:09 patch clamping. And what it allows is a tremendous 110 00:09:09 --> 00:09:14 study of the biophysics of individual channels. 111 00:09:14 --> 00:09:18 And, whereas, before people had to look at the total conductivity of an 112 00:09:18 --> 00:09:22 entire axon. Now they're able, and from that infer the behavior of 113 00:09:22 --> 00:09:26 single channels, now what they can do is study the 114 00:09:26 --> 00:09:31 behavior of single channels and synthetically build up a picture of 115 00:09:31 --> 00:09:35 the total conductivity of an axon from its individual components and 116 00:09:35 --> 00:09:39 see if the components we've identified are sufficient to explain 117 00:09:39 --> 00:09:45 the behavior that we see. Anyway, that's patch clamping. 118 00:09:45 --> 00:09:51 Lots of fun. So, now, what I want to turn now to is signaling 119 00:09:51 --> 00:09:59 at the synapse. 120 00:09:59 --> 00:10:04 So, we have our cell body here. It's got its dendrites on it. 121 00:10:04 --> 00:10:10 Here's our axon. We've managed to get an action 122 00:10:10 --> 00:10:15 potential started on it and it moves all the way down. 123 00:10:15 --> 00:10:21 Now we get here to one of the synaptic terminals. 124 00:10:21 --> 00:10:26 The electrical signal makes it all the way to the synaptic terminal, 125 00:10:26 --> 00:10:32 but how does it affect the post-synaptic cell? 126 00:10:32 --> 00:10:40 Well, let's get a close-up of that. 127 00:10:40 --> 00:10:46 Here we go. Here's the synaptic terminal. We've got our action 128 00:10:46 --> 00:10:52 potential coming. Action potential coming. 129 00:10:52 --> 00:10:59 And then it gets here. Action potential's arrived. 130 00:10:59 --> 00:11:05 I would like to release chemicals into the synaptic cleft, 131 00:11:05 --> 00:11:12 the space between the pre and the post-synaptic cell. 132 00:11:12 --> 00:11:20 I'd like to spill out chemicals that are neurotransmitters. 133 00:11:20 --> 00:11:28 So, the pre-synaptic cell conveniently has vesicles, 134 00:11:28 --> 00:11:37 little membrane-bound vesicles with prepackaged neurotransmitters. 135 00:11:37 --> 00:11:42 OK? These prepackaged neurotransmitters have been 136 00:11:42 --> 00:11:47 conveniently synthesized by the cell and they're just sitting there 137 00:11:47 --> 00:11:52 waiting to be released in response to an action potential. 138 00:11:52 --> 00:11:57 When the action potential comes, it causes these synaptic vesicles to 139 00:11:57 --> 00:12:08 fuse -- 140 00:12:08 --> 00:12:15 -- with the membrane. And in fusing the insides become 141 00:12:15 --> 00:12:22 continuous with the outsides, here's a little fusion picture here, 142 00:12:22 --> 00:12:30 and the neurotransmitters leak out. OK? 143 00:12:30 --> 00:12:35 How does it do that, though, mechanistically? 144 00:12:35 --> 00:12:40 How in the world does an action potential cause these vesicles to 145 00:12:40 --> 00:12:46 fuse with the membrane? Well, somehow it's got to read out 146 00:12:46 --> 00:12:51 electrical activity into some kind of a chemical activity 147 00:12:51 --> 00:12:57 intracellularly. Here's what it does. 148 00:12:57 --> 00:13:02 When the electrical signal comes down, remember originally the 149 00:13:02 --> 00:13:08 membrane potential is negative, but when an action potential comes 150 00:13:08 --> 00:13:13 by what does it do to the membrane potential? It reverses it. 151 00:13:13 --> 00:13:19 It makes it positive inside briefly. OK? So, this is the sign of an 152 00:13:19 --> 00:13:24 action potential, an AP coming down. 153 00:13:24 --> 00:13:30 In this membrane we have us another voltage-sensitive channel. 154 00:13:30 --> 00:13:35 This voltage sensitive channel is a voltage sensitive calcium channel. 155 00:13:35 --> 00:13:40 OK? Who would like to design a voltage-sensitive calcium channel? 156 00:13:40 --> 00:13:46 What should it do? What would you like to have its opening and closing 157 00:13:46 --> 00:13:51 properties be? When does it open? 158 00:13:51 --> 00:13:57 At a positive charge. So, when you get to a positive 159 00:13:57 --> 00:14:02 membrane potential it swings open. And then what does it do? 160 00:14:02 --> 00:14:07 Lets calcium move. Which way does calcium want to go? 161 00:14:07 --> 00:14:11 In because it's more out. So, what's going to happen is in 162 00:14:11 --> 00:14:16 response to the action potential calcium will rush in. 163 00:14:16 --> 00:14:21 Now, calcium, you will recall, was in vanishingly small traces 164 00:14:21 --> 00:14:26 inside, 0.1 micromolar we said. And influx of calcium is a very 165 00:14:26 --> 00:14:31 serious matter and it is sensed by variety of proteins. 166 00:14:31 --> 00:14:38 In particular, there is, floating around in the 167 00:14:38 --> 00:14:45 cell, a protein here called a calcium-dependent protein kinase. 168 00:14:45 --> 00:14:52 The calcium-dependent protein kinase 169 00:14:52 --> 00:14:56 is a protein that is capable of putting a phosphate group. 170 00:14:56 --> 00:15:00 Its kinase puts a phosphate group on other proteins. 171 00:15:00 --> 00:15:04 So, the calcium-dependent protein kinase over here will go along and 172 00:15:04 --> 00:15:08 catalyze the addition of a phosphate group to other proteins. 173 00:15:08 --> 00:15:12 So, it will enzymaticly catalyze this. But it only does so in the 174 00:15:12 --> 00:15:16 presence of calcium. So, when there's calcium in the 175 00:15:16 --> 00:15:20 cell, the calcium-dependent kinase is activated and it runs around and 176 00:15:20 --> 00:15:24 sticks phosphate groups on specific target proteins. 177 00:15:24 --> 00:15:28 You know where one of those target proteins lives? In the vesicles. 178 00:15:28 --> 00:15:32 The vesicles happen to be a target for this. So, 179 00:15:32 --> 00:15:36 the vesicles have a protein on them. And in one of these extraordinary 180 00:15:36 --> 00:15:40 coincidences in molecular biology, the protein on the synaptic vesicle 181 00:15:40 --> 00:15:44 happens to be called, coincidently, synapsin. 182 00:15:44 --> 00:15:48 OK? It's not actually entirely a coincidence that it's called 183 00:15:48 --> 00:15:52 synapsin. It was named synapsin because it was found on the synaptic 184 00:15:52 --> 00:15:56 vesicles, obviously. And so what happens is when the 185 00:15:56 --> 00:16:00 action potential comes down it causes the calcium channel to open 186 00:16:00 --> 00:16:03 in response to positive voltage. Calcium comes in, 187 00:16:03 --> 00:16:07 actives at the kinase. The kinase phosphorilates synapsin. 188 00:16:07 --> 00:16:11 And now the phosphorilated form of synapsin likes to bind to something 189 00:16:11 --> 00:16:15 in the membrane. That's it. How many of you still 190 00:16:15 --> 00:16:19 know what a Rube Goldberg machine is? Good. OK. This is one of these 191 00:16:19 --> 00:16:23 just great, well, others of you should look it up on 192 00:16:23 --> 00:16:27 the Web because they're just great cartoons, the Rube Goldberg cartoons 193 00:16:27 --> 00:16:31 about the machine where the rooster crows startling the cat which tugs 194 00:16:31 --> 00:16:35 the thing with causes this to flop which causes the eggs to go in the 195 00:16:35 --> 00:16:39 pan which causes the thing to cook which causes whatever. 196 00:16:39 --> 00:16:42 And I always think about these in terms of great molecular Rube 197 00:16:42 --> 00:16:46 Goldberg machines. So, this is the Rube Goldberg 198 00:16:46 --> 00:16:49 machine that gets this synaptic vesicle to fuse there. 199 00:16:49 --> 00:16:53 OK? Good. Every bit of neurobiology has a molecular 200 00:16:53 --> 00:16:57 mechanism to be explained like this. So, now let's go onto the next 201 00:16:57 --> 00:17:01 bit. How does this signal gets sensed at 202 00:17:01 --> 00:17:06 the next cell? What are we up to? 203 00:17:06 --> 00:17:11 Number three. So, let's look at a specific junction. 204 00:17:11 --> 00:17:16 Instead of looking at the junction between two nerve cells, 205 00:17:16 --> 00:17:22 let me start with the junction between a nerve cell and a muscle 206 00:17:22 --> 00:17:27 cell, the neuromuscular junction. OK? So, I've now replaced my 207 00:17:27 --> 00:17:32 post-synaptic neuron by a muscle fiber here. This is 208 00:17:32 --> 00:17:38 a muscle fiber. So, when it spritzes out the stuff 209 00:17:38 --> 00:17:44 the neurons that innervate muscle fibers, actually, 210 00:17:44 --> 00:17:51 I'm going to expand that a bit, the neurons that innervate muscle 211 00:17:51 --> 00:17:57 fibers, here's the muscle, and I'll put it at some distance 212 00:17:57 --> 00:18:03 here, muscle, spray out a particular transmitter in response 213 00:18:03 --> 00:18:10 to the calcium influx. And that transmitter is called 214 00:18:10 --> 00:18:17 acetylcholine, henceforth ACH. 215 00:18:17 --> 00:18:24 Acetylcholine is spritzed out into the synaptic cleft and comes out. 216 00:18:24 --> 00:18:32 And what do you think acetylcholine is going to do? 217 00:18:32 --> 00:18:35 I've got to send the chemical signal to the next cell. 218 00:18:35 --> 00:18:39 I've got to somehow send that signal to the surface. 219 00:18:39 --> 00:18:43 It's going to bind to something on the next cell. 220 00:18:43 --> 00:18:47 You know the deal, right? So, it's going to have to 221 00:18:47 --> 00:18:51 bind to a protein on this cell. And, remarkably, what it binds to 222 00:18:51 --> 00:18:55 is called an acetylcholine receptor. OK? Very reasonable stuff. An 223 00:18:55 --> 00:19:00 acetylcholine receptor. The acetylcholine receptor happens 224 00:19:00 --> 00:19:06 to be an ion channel, but it's not a voltage-gated ion 225 00:19:06 --> 00:19:12 channel. It's not an ion channel that opens in response to the 226 00:19:12 --> 00:19:18 voltage. It's an ion channel that opens in response to acetylcholine. 227 00:19:18 --> 00:19:24 It's what we'd call a ligand-gated ion channel because it's gated by a 228 00:19:24 --> 00:19:31 ligand, acetylcholine. So, this guy here is a ligand-gated 229 00:19:31 --> 00:19:39 ion channel which, when acetylcholine binds to it, 230 00:19:39 --> 00:19:47 swings open. And what it does is it allows in sodium. 231 00:19:47 --> 00:19:55 Bingo. Now, when sodium comes in what happens? Action potential. 232 00:19:55 --> 00:20:04 But what a second. This is a muscle. 233 00:20:04 --> 00:20:12 All membranes have the machinery to 234 00:20:12 --> 00:20:16 have an action potential? Nah, liver cells are pretty passive. 235 00:20:16 --> 00:20:21 You do this to a liver cell it kind of sits there. 236 00:20:21 --> 00:20:25 But muscle cells do have an action potential mechanism. 237 00:20:25 --> 00:20:30 They do respond here like a neuron, an action potential. And so what 238 00:20:30 --> 00:20:34 happens when I open up some sodium channels to the resting potential 239 00:20:34 --> 00:20:38 of my muscle? What was the resting potential of my 240 00:20:38 --> 00:20:42 muscle? About minus 70. What happens when I open up these 241 00:20:42 --> 00:20:45 ligand-gated sodium channels? Sodium rushes in. What does it do 242 00:20:45 --> 00:20:49 to my membrane potential? It makes it more positive. 243 00:20:49 --> 00:20:52 What does that do? It triggers an action potential spreading 244 00:20:52 --> 00:20:56 throughout the muscle. And because the muscle has an 245 00:20:56 --> 00:21:04 action potential -- 246 00:21:04 --> 00:21:09 -- all you have to do is manage to get this going in a little patch of 247 00:21:09 --> 00:21:14 the muscle and it spreads throughout the muscle fiber. 248 00:21:14 --> 00:21:19 One neuromuscular synapse will be sufficient to activate the muscle, 249 00:21:19 --> 00:21:24 in principle, because you have this action potential mechanism. 250 00:21:24 --> 00:21:29 And then when the action potential fires in the muscle it actually 251 00:21:29 --> 00:21:34 causes other channels to open, including some calcium channels. 252 00:21:34 --> 00:21:38 The calcium channels cause calcium to come in. The calcium causes your 253 00:21:38 --> 00:21:42 muscle to contract because of sliding of actins and myosins and 254 00:21:42 --> 00:21:47 things like that. That's how it works. 255 00:21:47 --> 00:21:51 That's this Rube Goldberg machine. All right. So, let's get ready. 256 00:21:51 --> 00:21:55 Let's fire. Let's send a neuromuscular signal down. 257 00:21:55 --> 00:22:00 Contract. Now here's the problem. I've got all this acetylcholine 258 00:22:00 --> 00:22:05 sitting around in my synapse activating the ligand-gated sodium 259 00:22:05 --> 00:22:10 channel causing sodium to come in, but I would like to relax my muscle, 260 00:22:10 --> 00:22:16 please. What are we going to do about this? 261 00:22:16 --> 00:22:24 I could trigger another channel, 262 00:22:24 --> 00:22:28 and maybe it could be a delayed acetylcholine activated yeah, 263 00:22:28 --> 00:22:32 dah, dah, dah, dah, dah, dah, that's possible. I could have it close 264 00:22:32 --> 00:22:36 itself. These are all perfectly reasonable possibilities, 265 00:22:36 --> 00:22:41 and we're going to refer them to the engineering committee. 266 00:22:41 --> 00:22:45 What else? You could get rid of the acetylcholine some other way. 267 00:22:45 --> 00:22:49 It turns out the latter is the solution here. 268 00:22:49 --> 00:22:53 We would like to have some enzyme that chews up the acetylcholine. 269 00:22:53 --> 00:22:59 How about acetylcholinesterase? So, let's put acetylcholinesterase, 270 00:22:59 --> 00:23:06 ACHE, acetylcholinesterase in the synaptic cleft. 271 00:23:06 --> 00:23:13 Then when I spritz acetylcholine it gets to the other side, 272 00:23:13 --> 00:23:19 but very rapidly the acetylcholinesterase is degrading it. 273 00:23:19 --> 00:23:26 And so it has a very short time of persistence in the synaptic 274 00:23:26 --> 00:23:32 cleft. OK? That works. So, 275 00:23:32 --> 00:23:37 that's how I run a neuromuscular junction. OK? 276 00:23:37 --> 00:23:42 So, acetylcholinesterase is very important. Now, 277 00:23:42 --> 00:23:47 again, as with many of the things I've talked about, 278 00:23:47 --> 00:23:52 we really know these things are true when we're able to inhibit them in 279 00:23:52 --> 00:23:57 different ways. So, I want to take a moment and 280 00:23:57 --> 00:24:03 talk about drugs and toxins. Because they help us to probe these 281 00:24:03 --> 00:24:11 different processes. Anybody ever have fugu? 282 00:24:11 --> 00:24:18 Does anybody know what fugu is? What's fugu? It's a blowfish. 283 00:24:18 --> 00:24:26 Right. It's a puffer fish eaten in sushi, and it's an extraordinary 284 00:24:26 --> 00:24:32 delicacy. And why is that? Right. Because it's one of the only 285 00:24:32 --> 00:24:36 sushis where you really have to worry about improper preparation, 286 00:24:36 --> 00:24:40 not just giving you food poisoning or a stomachache or something like 287 00:24:40 --> 00:24:44 that, but it's lethal prepared incorrectly. The reason it's lethal 288 00:24:44 --> 00:24:48 incorrectly prepared is because the blowfish has a specific poison 289 00:24:48 --> 00:24:52 called tetrodotoxin. So, if you eat sushi, 290 00:24:52 --> 00:24:56 so, in fact, chefs in Japan require a license to prepare fugu 291 00:24:56 --> 00:25:01 for customers. Every once, every couple of years 292 00:25:01 --> 00:25:08 some famous actor or personality prepares his or her own fugu and 293 00:25:08 --> 00:25:15 dies from it and it's in the papers. Seriously. This has happened to 294 00:25:15 --> 00:25:22 people. They're able to do this. Anyway, tetrodotoxin, tetrodotoxin 295 00:25:22 --> 00:25:29 is from puffer fish, fugu. Why does this stuff kill you? 296 00:25:29 --> 00:25:36 It turns out that what tetrodotoxin does, this wonderful poison from 297 00:25:36 --> 00:25:43 this sushi, is that it irreversibly binds, irreversible binding and 298 00:25:43 --> 00:25:50 inhibition of voltage-gated sodium channels. 299 00:25:50 --> 00:25:54 Why would this be an inadvisable thing to have? 300 00:25:54 --> 00:25:59 Suppose you irreversibly bound to and inhibited your sodium channels, 301 00:25:59 --> 00:26:04 your voltage-gated sodium channels, what would you be unable 302 00:26:04 --> 00:26:09 to accomplish? An action potential. 303 00:26:09 --> 00:26:14 This is ill-advised to be unable to accomplish an action potential. 304 00:26:14 --> 00:26:19 You can imagine that what it leads to then is a paralysis and a very 305 00:26:19 --> 00:26:24 serious one, and if it's irreversible this is not a good 306 00:26:24 --> 00:26:29 thing. There are other things. Has anyone ever fired poison darts 307 00:26:29 --> 00:26:34 in South American jungles? [LAUGHTER] 308 00:26:34 --> 00:26:41 Well, if you have, you would have tipped them with 309 00:26:41 --> 00:26:48 qurare. Qurare is used to make poison darts. What qurare does is 310 00:26:48 --> 00:26:55 it reversibly binds, still not good, but it's a 311 00:26:55 --> 00:27:02 reversible binder to the acetylcholine receptor and it 312 00:27:02 --> 00:27:10 prevents it, it blocks the binding of acetylcholine. 313 00:27:10 --> 00:27:14 Your acetylcholine receptors, therefore, cannot respond to your 314 00:27:14 --> 00:27:18 acetylcholine. What will that do? 315 00:27:18 --> 00:27:22 A flaccid paralysis because you're unable to move your muscles. 316 00:27:22 --> 00:27:26 So, if you were trying to shoot prey in the forest and you send the 317 00:27:26 --> 00:27:30 poison dart that has qurare, it will cause the animal to then 318 00:27:30 --> 00:27:36 flop over. Yes? Snakes. Ooh, 319 00:27:36 --> 00:27:43 what kind of snakes? Venomous steak snakes, 320 00:27:43 --> 00:27:50 yeah. [LAUGHTER] Like bungarus snakes, the really poisonous ones. 321 00:27:50 --> 00:27:57 So, it turns out, great question, that they make something called 322 00:27:57 --> 00:28:03 alpha-bungerotoxin. Venomous snakes, 323 00:28:03 --> 00:28:09 next thing on my list, exactly. The only improvement they 324 00:28:09 --> 00:28:15 make here is that this is an irreversible binder to the 325 00:28:15 --> 00:28:21 acetylcholine receptors. Very impressive stuff. Different 326 00:28:21 --> 00:28:27 stuff. We'll come back to jellyfish. But, basically, 327 00:28:27 --> 00:28:33 everything you know out there that's noxious is being noxious in some way 328 00:28:33 --> 00:28:37 that affects molecular biology. Not all of it affects the nervous 329 00:28:37 --> 00:28:41 system. Those of you who like to collect mushrooms may wish to avoid 330 00:28:41 --> 00:28:45 amanitas mushrooms. They make amanitas. 331 00:28:45 --> 00:28:48 Amanitan is an irreversible binder that affects polymerase, 332 00:28:48 --> 00:28:52 RNA polymerase. Not a good thing to lose either. So, 333 00:28:52 --> 00:28:56 all parts of this course have interesting poisons that will affect 334 00:28:56 --> 00:29:00 it but we'll focus on the poisons effecting neurobiology today. 335 00:29:00 --> 00:29:06 And then there's a human made thing. Do you remember the, well, those of 336 00:29:06 --> 00:29:12 who have heard of World War I, nerve gas or, in particular, who 337 00:29:12 --> 00:29:19 remember the attack in the Tokyo subways with sarin, 338 00:29:19 --> 00:29:25 a particular kind of nerve gas. Do you know what that stuff does? 339 00:29:25 --> 00:29:32 It is a potent inhibitor of the enzyme acetylcholinesterase. 340 00:29:32 --> 00:29:36 What would happen if I inhibited your acetylcholinesterase? 341 00:29:36 --> 00:29:40 The muscles tense up and I'm unable to relieve them because, 342 00:29:40 --> 00:29:44 just like I was doing there, because my acetylcholine is not 343 00:29:44 --> 00:29:49 broken down in the synapse. So, this is a nice menu of 344 00:29:49 --> 00:29:53 interesting poisons and fun facts to know and tell and good things to 345 00:29:53 --> 00:29:57 avoid. There are more drugs and things that we can come back to. 346 00:29:57 --> 00:30:01 So, now let's talk about, let's move onto other synapses. 347 00:30:01 --> 00:30:06 Let's take a look at nerve-nerve synapses. 348 00:30:06 --> 00:30:16 So, we looked at a nerve muscle 349 00:30:16 --> 00:30:22 synapse. What were the properties of this nerve muscle synapse? 350 00:30:22 --> 00:30:29 Well, it had the property that a single neuron innervates a single 351 00:30:29 --> 00:30:35 muscle fiber. All right? This was a one-to-one single fiber, 352 00:30:35 --> 00:30:42 sorry, single neuron, single fiber. 353 00:30:42 --> 00:30:52 When we get to nerve-nerve synapses, they're more complex. Multiple 354 00:30:52 --> 00:31:02 different nerve terminals may synapse upon the same neuron, 355 00:31:02 --> 00:31:11 as I indicated last time. There might be a thousand different 356 00:31:11 --> 00:31:17 nerve terminals synapsing on the dendrites of a postsynaptic cell, 357 00:31:17 --> 00:31:23 but let's look at one of them for a moment. Then we'll come back to how 358 00:31:23 --> 00:31:29 a thousand can work together. So, here's one. 359 00:31:29 --> 00:31:35 And here's my dendrite that I'm synapsing on here. 360 00:31:35 --> 00:31:41 The nerve terminal releases into, sorry, into the synaptic cleft some 361 00:31:41 --> 00:31:47 neurotransmitter. It turns out there's a wide variety 362 00:31:47 --> 00:31:53 of neurotransmitters that get released while the neuromuscular 363 00:31:53 --> 00:31:59 junction involves acetylcholine. One example that might be involved 364 00:31:59 --> 00:32:04 here is something called glutamate. What's glutamate? 365 00:32:04 --> 00:32:08 It's an amino acid. Glutamic acid. It's the ion of 366 00:32:08 --> 00:32:12 glutamic acid. That actually is a neurotransmitter. 367 00:32:12 --> 00:32:16 Ever have monosodium glutamate. Does anybody get a headache from 368 00:32:16 --> 00:32:20 monosodium glutamate? I do. That's because it's a 369 00:32:20 --> 00:32:24 neurotransmitter. It messes with brain chemistry. 370 00:32:24 --> 00:32:28 So, glutamate. Glutamate is released. 371 00:32:28 --> 00:32:35 And what is does is there is a channel on the post-synaptic cell 372 00:32:35 --> 00:32:42 that binds glutamate. And it, too, is a ligand-gated ion 373 00:32:42 --> 00:32:49 channel. And it could be, for example, a sodium channel. 374 00:32:49 --> 00:32:56 Other neurotransmitters might use other channels. 375 00:32:56 --> 00:33:03 What happens if I spritz some glutamate on a dendrite of a cell 376 00:33:03 --> 00:33:11 that has a glutamate-activated sodium channel? 377 00:33:11 --> 00:33:16 What will happen in that dendrite? Sodium will rush in causing the 378 00:33:16 --> 00:33:22 membrane potential to become depolarized and then positive and 379 00:33:22 --> 00:33:28 then causing an action potential? No. It turns out that that last 380 00:33:28 --> 00:33:34 bit doesn't happen because the dendrites don't have the action 381 00:33:34 --> 00:33:41 potential machine. The action potential machinery is 382 00:33:41 --> 00:33:49 interestingly confined to the axon. It's not found on the dendrites. 383 00:33:49 --> 00:33:58 So, when we spritz with glutamate, what will happen is if this is a 384 00:33:58 --> 00:34:06 glutamate-bearing synaptic terminal the membrane potential here will 385 00:34:06 --> 00:34:13 become locally positive. But it is not an explosive 386 00:34:13 --> 00:34:19 regenerative action potential because there are no voltage-gated 387 00:34:19 --> 00:34:24 sodium channels that are going to open in response to that local 388 00:34:24 --> 00:34:30 depolarization. So, it became a little positive 389 00:34:30 --> 00:34:35 over in this corner of the neuron. Now, if it gets a little positive 390 00:34:35 --> 00:34:39 over in this corner of the neuron, you know, it's going to draw some 391 00:34:39 --> 00:34:43 negative charges from over here, right, to offset that local 392 00:34:43 --> 00:34:48 positivity. But if it's just a local little patch of positive then 393 00:34:48 --> 00:34:52 it draws a little bit of negative charge. But is that going to be 394 00:34:52 --> 00:34:56 enough to depolarize over here? No. So what do you want to do? 395 00:34:56 --> 00:35:01 Have more. Suppose I have two glutaminergic 396 00:35:01 --> 00:35:06 synapses and they fire, it might be. Probably not. 397 00:35:06 --> 00:35:12 Maybe they have to fire at the same time. Maybe if I have a hundred out 398 00:35:12 --> 00:35:17 of a thousand. Imagine that I have a hundred 399 00:35:17 --> 00:35:22 different glutaminergic synapses that fired simultaneously then what 400 00:35:22 --> 00:35:28 will happen? I'll get positive charges at all of them. 401 00:35:28 --> 00:35:32 And maybe that's enough to draw some negative charge away from the axon 402 00:35:32 --> 00:35:37 and start an action potential going, or maybe not. Maybe you need two 403 00:35:37 --> 00:35:41 hundred. What if they don't fire at exactly the same moment? 404 00:35:41 --> 00:35:46 Well, the minute one fires it makes it locally positive, 405 00:35:46 --> 00:35:50 but then it starts restoring itself so that if they're separated in time 406 00:35:50 --> 00:35:55 they're not as effective as if they happen simultaneously. 407 00:35:55 --> 00:35:59 So, we have an extraordinary complex analog integration 408 00:35:59 --> 00:36:04 circuit here. The analogy integration circuit 409 00:36:04 --> 00:36:08 depends on the temporal arrival of these signals. 410 00:36:08 --> 00:36:12 And what else does it depend on? The number of the signals. So, 411 00:36:12 --> 00:36:16 let's get this down. We're going to integrate the 412 00:36:16 --> 00:36:36 signals here. 413 00:36:36 --> 00:36:40 It'll depend on their timing, the number, and the geometry, 414 00:36:40 --> 00:36:44 because it turns out that doing it at different places in the, 415 00:36:44 --> 00:36:48 now, I drew my dendritic tree, the dendrites as all these little 416 00:36:48 --> 00:36:52 hairy spikes coming off the cell body, but the dendrites are vastly 417 00:36:52 --> 00:36:56 more complex than that. Some cells have elaborate dendritic 418 00:36:56 --> 00:37:00 trees. The dendritic tree, 419 00:37:00 --> 00:37:05 the dendrites of some neurons, here's the cell body, can go off in 420 00:37:05 --> 00:37:10 all sorts of wonderfully complex patterns. And it may be more 421 00:37:10 --> 00:37:14 effective to hit synapses close to the cell body or synapses on 422 00:37:14 --> 00:37:19 different parts of the tree. And so that the entire shape of 423 00:37:19 --> 00:37:24 that dendritic tree can have an effect, and where you're hitting it 424 00:37:24 --> 00:37:29 has an effect. So, whereas the action potential is 425 00:37:29 --> 00:37:33 a very simple thing, which you might say just replace it 426 00:37:33 --> 00:37:38 by a wire for our computer modeling studies, goodness, 427 00:37:38 --> 00:37:42 nobody has actually succeeded in building a perfect model of the 428 00:37:42 --> 00:37:47 integration properties of an dendritic arbor for a single neuron. 429 00:37:47 --> 00:37:51 They can get guess and approximations. 430 00:37:51 --> 00:37:56 So, there's an amazing integration that's going on here. 431 00:37:56 --> 00:38:00 But it turns out that it's more complex than that because, 432 00:38:00 --> 00:38:05 you see, I said that we had these, say, glutamate neurotransmitters 433 00:38:05 --> 00:38:10 here that were causing positive charges to rush in. 434 00:38:10 --> 00:38:18 It turns out there are other neurotransmitters that activate 435 00:38:18 --> 00:38:26 other channels in the membrane. And, for example, there are some 436 00:38:26 --> 00:38:34 neurotransmitters that activate, like glycine, another amino acid 437 00:38:34 --> 00:38:43 activates ligand-gated chloride channels. 438 00:38:43 --> 00:38:48 So, glutamate, one amino acid activates sodium 439 00:38:48 --> 00:38:54 channels. Sodium rushes in. Glycine activates chloride channels. 440 00:38:54 --> 00:39:00 What will chloride do? It can come in. 441 00:39:00 --> 00:39:06 What will it do when it comes in? Negative. Oh, my goodness. So, 442 00:39:06 --> 00:39:12 when glycine is spritz on the post-synaptic cell chloride comes in 443 00:39:12 --> 00:39:18 and the cell becomes locally more negative. These are called 444 00:39:18 --> 00:39:28 inhibitory synapses. 445 00:39:28 --> 00:39:34 By contrast those that admit positive ions excitatory synapses. 446 00:39:34 --> 00:39:42 Neurons can have both inhibitory and 447 00:39:42 --> 00:39:47 excitatory synapses on their dendrites. So, 448 00:39:47 --> 00:39:53 the postsynaptic cell will be receiving positive signals, 449 00:39:53 --> 00:39:58 positive ions coming in from excitatory synapse and negative 450 00:39:58 --> 00:40:04 signals, inhibitory signals with negative ions coming in. 451 00:40:04 --> 00:40:08 The integration of charge in the dendritic arbor is an integration 452 00:40:08 --> 00:40:12 problem of the timing, number, geometry and sign, 453 00:40:12 --> 00:40:16 positive or negative, of these activation signals. 454 00:40:16 --> 00:40:20 That's what's going on. And what happens is the neuron 455 00:40:20 --> 00:40:24 integrates these signals, positive and negative. So, 456 00:40:24 --> 00:40:29 we'll make this one a glycine neuron, negative, negative, negative. 457 00:40:29 --> 00:40:33 All that integration takes place right over here in the region of the 458 00:40:33 --> 00:40:38 cell called the axon hillock, which is the first place that the 459 00:40:38 --> 00:40:42 action potential mechanism is found. And, of course, that integration is 460 00:40:42 --> 00:40:47 nothing more and nothing less than figuring out whether the membrane 461 00:40:47 --> 00:40:51 potential gets above minus 50. If it gets above minus 50 it fires. 462 00:40:51 --> 00:40:59 OK? Yes? 463 00:40:59 --> 00:41:02 Does the nucleus participate in the, in what way would the nucleus 464 00:41:02 --> 00:41:11 participate? 465 00:41:11 --> 00:41:14 It's an interesting question. I mean the nucleus does, in a sense. 466 00:41:14 --> 00:41:17 The geometry of that cell body there has some effect on the 467 00:41:17 --> 00:41:21 electrical properties and all that, but if you think about the 468 00:41:21 --> 00:41:24 timescales. How often do neurons fire? At a frequency often of about 469 00:41:24 --> 00:41:27 a millisecond. So, that means everything I've just 470 00:41:27 --> 00:41:31 old you, this complex integration problem is occurring within 471 00:41:31 --> 00:41:34 a millisecond. The processes in the nucleus that I 472 00:41:34 --> 00:41:38 think about typically of transcription and translation and 473 00:41:38 --> 00:41:41 all that are operating several orders of magnitude more slowly than 474 00:41:41 --> 00:41:44 that. You know, they'll operate, even in the best of 475 00:41:44 --> 00:41:48 circumstances, at seconds, and often at more than 476 00:41:48 --> 00:41:51 that, minutes before you could get transcription and translation and 477 00:41:51 --> 00:41:54 stuff like that going. So, the nucleus, I think, 478 00:41:54 --> 00:41:58 for the most part, better get its act together by producing stuff and 479 00:41:58 --> 00:42:01 getting it out to the periphery, but probably through the expression 480 00:42:01 --> 00:42:05 of the genome can't do much in a relevant millisecond or so. 481 00:42:05 --> 00:42:08 But I wouldn't be shocked if some neurobiologist knows better than I 482 00:42:08 --> 00:42:11 do that nucleoli do something. I mean there are many cleaver 483 00:42:11 --> 00:42:14 things that are going on. I'm sure a cell has wasted anything, 484 00:42:14 --> 00:42:17 but with respect to the operations we've talked about probably not. 485 00:42:17 --> 00:42:21 OK? But I'm always reluctant to say something never happens in any 486 00:42:21 --> 00:42:24 possible way. All right. So, now how does all this get stuck 487 00:42:24 --> 00:42:28 together? Well, not only do we have this 488 00:42:28 --> 00:42:33 complex integration within the dendritic arbor but, 489 00:42:33 --> 00:42:39 of course, the neurons are stuck together into circuits themselves. 490 00:42:39 --> 00:42:44 If we had more time I would draw the circuit that you use to 491 00:42:44 --> 00:42:49 integrate complex functions in calculus, but not having much time 492 00:42:49 --> 00:42:54 I'm going to just go for a much simpler circuit here. 493 00:42:54 --> 00:43:00 I'm just going to go back to nerves and muscles. And here we go. 494 00:43:00 --> 00:43:06 Suppose I tap right here below your knee. What happens? 495 00:43:06 --> 00:43:12 There's a reflex. Let's at least get that going, 496 00:43:12 --> 00:43:18 OK? What happens is when I tap there above your patella, 497 00:43:18 --> 00:43:24 here's your kneecap here, there's a sensory neuron. 498 00:43:24 --> 00:43:30 The sensory neuron brings out a signal and it goes into the 499 00:43:30 --> 00:43:35 spinal column here. This is a reflex. 500 00:43:35 --> 00:43:39 It doesn't need to go up to your brain. You don't need to think a lot 501 00:43:39 --> 00:43:44 about it. And it goes into the spinal column here into the dorsal 502 00:43:44 --> 00:43:48 root ganglia. This is a cross-section. 503 00:43:48 --> 00:43:53 The, sorry, sensory neuron comes in here. And what it does is that 504 00:43:53 --> 00:43:57 sensory neuron makes a synapse, and actually another synapse, and it 505 00:43:57 --> 00:44:04 makes a synapse on a motor neuron. The motor neuron comes back and 506 00:44:04 --> 00:44:13 synapses on that very muscle. It is the simplest possible circuit. 507 00:44:13 --> 00:44:23 I sense, I send one sensory signal up into the spinal cord, 508 00:44:23 --> 00:44:32 there's an excitatory positive synapse onto a motor neuron, 509 00:44:32 --> 00:44:42 this motor neuron fires and contracts my muscle so I go back. 510 00:44:42 --> 00:44:48 At the same time, this guy makes another synapse, 511 00:44:48 --> 00:44:55 a positive excitatory synapse on a little cell that is an interneuron, 512 00:44:55 --> 00:45:02 that's an intermediate neuron. That intermediate neuron makes a synapse 513 00:45:02 --> 00:45:09 on a second motor neuron, but this is an inhibitory synapse. 514 00:45:09 --> 00:45:17 That motor neuron sends its process 515 00:45:17 --> 00:45:23 out and is affecting the opposite muscle. So now what happens? 516 00:45:23 --> 00:45:30 Let's get this straight. I hit over here. 517 00:45:30 --> 00:45:34 And the signal goes back to my spinal cord. The sensory neuron 518 00:45:34 --> 00:45:38 causes one motor neuron, directly by firing on it, 519 00:45:38 --> 00:45:42 to contract. It causes an interneuron to fire that inhibits 520 00:45:42 --> 00:45:46 the opposite motor neuron. What happens if you inhibit the 521 00:45:46 --> 00:45:50 opposite motor neuron? You relax the contraction, 522 00:45:50 --> 00:45:54 or you at least don't contract the opposite muscle. 523 00:45:54 --> 00:45:58 So, what happens is you send a positive signal to the muscle on one 524 00:45:58 --> 00:46:03 side and you inhibit the signal to the muscle on the other side. 525 00:46:03 --> 00:46:07 It's a very simple circuit. It's got one sensory neuron. 526 00:46:07 --> 00:46:11 Two motor neurons. One interneuron. It's got two positive excitatory 527 00:46:11 --> 00:46:15 synapses. It's got one negative inhibitory synapse. 528 00:46:15 --> 00:46:19 That's about it. Presumably, everything else that goes on in 529 00:46:19 --> 00:46:23 daily life is basically the same thing. This is probably what eating 530 00:46:23 --> 00:46:27 lunch is like, falling in love is like and things 531 00:46:27 --> 00:46:31 like that, although the details remain to be worked out for exactly 532 00:46:31 --> 00:46:34 how that stuff works. There is a large collection of, 533 00:46:34 --> 00:46:38 I give you the simple examples because obviously we don't know a 534 00:46:38 --> 00:46:42 lot of the complex examples. There is a lot more to this. 535 00:46:42 --> 00:46:45 If had time in the course we could go into what's known about more 536 00:46:45 --> 00:46:49 circuits. I joke. We know about the circuits that 537 00:46:49 --> 00:46:53 help you see vision, that allow you to pick up signals in 538 00:46:53 --> 00:46:56 your retina, transmit them back and reconstruct things with positive and 539 00:46:56 --> 00:47:00 negative signals that allow you to see a straight line, 540 00:47:00 --> 00:47:04 for example, and recognize a straight line. 541 00:47:04 --> 00:47:07 And there are patterns of cells that send positive signals and negative 542 00:47:07 --> 00:47:10 signals, and when you integrate them you can get a signal if and only if 543 00:47:10 --> 00:47:14 there's a straight line at this angle in your visual field. 544 00:47:14 --> 00:47:17 And people know about that kind of stuff, but some of the more complex 545 00:47:17 --> 00:47:20 stuff we don't know about. There are lots and lots of 546 00:47:20 --> 00:47:24 neurotransmitters, glutamate, glycine, 547 00:47:24 --> 00:47:27 histamine, serotonin. ATP can be a neurotransmitter. 548 00:47:27 --> 00:47:31 Adenosine can be a neurotransmitter. There are peptide neurotransmitters. 549 00:47:31 --> 00:47:35 Endorphins, oxytocins and even gases. Nitrous oxide is a neurotransmitter. 550 00:47:35 --> 00:47:39 And then some of the drugs you may know work by affecting these 551 00:47:39 --> 00:47:44 neurotransmitters. Prozac and the general class of 552 00:47:44 --> 00:47:48 selective serotonin reuptake inhibitors. Prozac effects a 553 00:47:48 --> 00:47:52 specific process with a neurotransmitter. 554 00:47:52 --> 00:47:57 There's a neurotransmitter serotonin. After it's fired out, 555 00:47:57 --> 00:48:01 instead of acetylcholesterase being in the synapse destroying it or some 556 00:48:01 --> 00:48:06 other enzyme destroying it, it's taken back up by the cells. 557 00:48:06 --> 00:48:09 If you could inhibit the process by which you take up your serotonin 558 00:48:09 --> 00:48:12 again, the serotonin would last longer in your synapse and you would 559 00:48:12 --> 00:48:15 be happier, give or take, roughly speaking to the extent that 560 00:48:15 --> 00:48:19 more serotonin is a good thing. And that's what Prozac does. 561 00:48:19 --> 00:48:22 Actually, it's one of the things Prozac does. There's good evidence 562 00:48:22 --> 00:48:25 now that Prozac does other things, too, including causing neuronal cell 563 00:48:25 --> 00:48:29 growth, but that's a whole other story. 564 00:48:29 --> 00:48:32 There are things like cocaine. Cocaine is a bad thing because it 565 00:48:32 --> 00:48:36 inhibits certain sodium transporters and other things. 566 00:48:36 --> 00:48:39 And if you go through all of the different psychoactive drugs they're 567 00:48:39 --> 00:48:43 affecting different parts of these processes. So, 568 00:48:43 --> 00:48:47 for Friday I've invited a colleague who is a real neurobiologist, 569 00:48:47 --> 00:48:50 I'm not a card-carrying neurobiologist, 570 00:48:50 --> 00:48:54 to talk about some of the more far out things of learning and memory. 571 00:48:54 --> 00:48:58 Andy Chess who's a good friend and a colleague is going to talk about 572 00:48:58 --> 00:49:02 learning and memory. And then have a good time with him, 573 00:49:02 --> 49:07 and I'll see you subsequently.