1 00:00:00,000 --> 00:00:05,000 The following content is provided by MIT OpenCourseWare under a creative 2 00:00:05,000 --> 00:00:11,000 commons license. Additional information about our license and 3 00:00:11,000 --> 00:00:16,000 MIT OpenCourseWare in general, is available at ocw.mit.edu The 4 00:00:16,000 --> 00:00:22,000 end of last lecture I got an interesting question about apoptosis 5 00:00:22,000 --> 00:00:28,000 which I covered very briefly towards the end of that lecture. And the 6 00:00:28,000 --> 00:00:34,000 question was this: Do healthy cells tell sick cells to die? 7 00:00:34,000 --> 00:00:37,000 Or in turn, do sick cells tell healthy cells to die? 8 00:00:37,000 --> 00:00:41,000 So, is there some kind of communication between cells as to 9 00:00:41,000 --> 00:00:45,000 who is healthy and who is not healthy? For those of you who are 10 00:00:45,000 --> 00:00:48,000 just coming in, there is a handout outside, 11 00:00:48,000 --> 00:00:52,000 and up front, it's the same thing. And that's actually a very 12 00:00:52,000 --> 00:00:56,000 interesting question because they really does seem, in the body, to be 13 00:00:56,000 --> 00:01:00,000 some sense of monitoring whether cells are healthy or not. 14 00:01:00,000 --> 00:01:04,000 Now, a lot of the time, cells that are not healthy 15 00:01:04,000 --> 00:01:09,000 intrinsically activate their own death program, 16 00:01:09,000 --> 00:01:13,000 or they have the ability, they gain the ability to respond to 17 00:01:13,000 --> 00:01:18,000 some kind of extrinsic signals. And in fact, signals could be sent both 18 00:01:18,000 --> 00:01:23,000 ways, we believe, where sick cells will tell healthy 19 00:01:23,000 --> 00:01:27,000 cells to die under conditions that are obviously not favorable to the 20 00:01:27,000 --> 00:01:32,000 organism, but more important, that healthy cells can tell sick 21 00:01:32,000 --> 00:01:38,000 cells not to survive. So, the balance of apoptosis and 22 00:01:38,000 --> 00:01:45,000 cell survival is a very delicate one and regulated by many, 23 00:01:45,000 --> 00:01:52,000 many things. So, it's a good question. All right, 24 00:01:52,000 --> 00:01:59,000 we move on. We move on to a new module. So, you have, in fact, covered 25 00:01:59,000 --> 00:02:05,000 the foundations of modern biology. You've covered them in a very 26 00:02:05,000 --> 00:02:10,000 superficial way. And I want to emphasize that. You should, 27 00:02:10,000 --> 00:02:15,000 by now, know how to take a piece of DNA, conceptually turn it into RNA, 28 00:02:15,000 --> 00:02:19,000 and conceptually turn that into a protein. You should know what to do 29 00:02:19,000 --> 00:02:24,000 if the DNA sequence is changed. You should have the expectation that the 30 00:02:24,000 --> 00:02:29,000 RNA and protein that are made from it will be changed, 31 00:02:29,000 --> 00:02:34,000 too, and you should have various other nuggets of information that 32 00:02:34,000 --> 00:02:39,000 are covered by foundations. These foundations are not going to 33 00:02:39,000 --> 00:02:43,000 go away. We're going to use them throughout the rest of these 34 00:02:43,000 --> 00:02:48,000 uncovered black boxes. And I'm going to assume that you 35 00:02:48,000 --> 00:02:52,000 remember a bunch of stuff as I go through the material in the next 36 00:02:52,000 --> 00:02:56,000 several lectures. But we are going to move in to the 37 00:02:56,000 --> 00:03:01,000 formation module. And today, we are going to talk about 38 00:03:01,000 --> 00:03:05,000 things in a kind of overview way. And I'm going to tell you five 39 00:03:05,000 --> 00:03:11,000 major things that are important. And I'm going to write them on the 40 00:03:11,000 --> 00:03:18,000 board, and some of the things they need to know about them. And 41 00:03:18,000 --> 00:03:25,000 we will use the slides as well. So, what is formation? What is this 42 00:03:25,000 --> 00:03:32,000 module all about? Well, it's about something called 43 00:03:32,000 --> 00:03:39,000 "development," where development is the process by which one cell, 44 00:03:39,000 --> 00:03:46,000 the fertilized egg or the zygote goes on to make a multi-cellular and 45 00:03:46,000 --> 00:04:00,000 complex organism. 46 00:04:00,000 --> 00:04:06,000 This is not about squishy little embryos. OK, this is about life as 47 00:04:06,000 --> 00:04:13,000 it began, as it continues in your own bodies. 48 00:04:13,000 --> 00:04:20,000 And it has immense applications for multiple biomedical and 49 00:04:20,000 --> 00:04:27,000 bioengineering processes that I'll talk about as we go through. The 50 00:04:27,000 --> 00:04:34,000 first thing you need to know is what's written up here is that the 51 00:04:34,000 --> 00:04:41,000 development occurs over time and space. 52 00:04:41,000 --> 00:04:49,000 And that's one of the things that makes it an incredibly complex set 53 00:04:49,000 --> 00:04:57,000 of processes to think about. The overtime can be a long time. And 54 00:04:57,000 --> 00:05:05,000 what's important to understand is that developmental processes occur 55 00:05:05,000 --> 00:05:12,000 throughout life. Initially, in the formation of the 56 00:05:12,000 --> 00:05:19,000 organism from a single cell, the fertilized egg, the zygote, 57 00:05:19,000 --> 00:05:26,000 and later on, early in the formation of the embryo, 58 00:05:26,000 --> 00:05:33,000 and later, in the renewal of the adult. 59 00:05:33,000 --> 00:05:36,000 And this is where the stem cells come in. And 60 00:05:36,000 --> 00:05:40,000 we'll have a lecture on stem cells later on. But 61 00:05:40,000 --> 00:05:44,000 development is something that occurs throughout life. And 62 00:05:44,000 --> 00:05:48,000 in fact, I teach an upper-class course on development to graduate 63 00:05:48,000 --> 00:05:52,000 students. And the first thing I tell them when I 64 00:05:52,000 --> 00:05:56,000 start to teach them is really there is no such subject as developmental 65 00:05:56,000 --> 00:06:00,000 biology because it covers, it includes, it encompasses 66 00:06:00,000 --> 00:06:04,000 biochemistry, genetics, molecular biology, protein structure, 67 00:06:04,000 --> 00:06:08,000 and many different disciplines. And it occurs throughout life. So, 68 00:06:08,000 --> 00:06:12,000 it really covers everything. But we have put these things together in 69 00:06:12,000 --> 00:06:17,000 the formation module, and I think you will find them 70 00:06:17,000 --> 00:06:21,000 interesting. OK, so here's a schematic of how things 71 00:06:21,000 --> 00:06:26,000 work courtesy of Picasso. And really, this whole process is quite 72 00:06:26,000 --> 00:06:31,000 remarkable. It starts with two dying cells. 73 00:06:31,000 --> 00:06:35,000 The egg and the sperm, haploid cells that have a half-life 74 00:06:35,000 --> 00:06:40,000 that have a life of about 12 hours up to which they are dead. But 75 00:06:40,000 --> 00:06:44,000 when they fuse, there's magic that happens, and you get a viable cell, 76 00:06:44,000 --> 00:06:49,000 the zygote, that has the capacity to go on and divide many, 77 00:06:49,000 --> 00:06:54,000 many times to form an embryo and ultimately an adult organism. And 78 00:06:54,000 --> 00:06:58,000 as we've mentioned many times, it is estimated that there are about ten 79 00:06:58,000 --> 00:07:03,000 to the 14th cells in the human. In the adults, 80 00:07:03,000 --> 00:07:08,000 and even in young adults, there is much replacement of cells 81 00:07:08,000 --> 00:07:13,000 throughout life. And this whole process obviously takes place over 82 00:07:13,000 --> 00:07:18,000 time. But that's important because the time component means that things 83 00:07:18,000 --> 00:07:23,000 change over time. And in order to understand this entire 84 00:07:23,000 --> 00:07:29,000 slide, you have to factor in this fourth dimension. 85 00:07:29,000 --> 00:07:33,000 So, what are some of the things that we're going to cover in this module, 86 00:07:33,000 --> 00:07:37,000 and why are we bothering to talk to you about the subject? 87 00:07:37,000 --> 00:07:41,000 Well, one of the things that's of interest is the effect of chemicals 88 00:07:41,000 --> 00:07:45,000 on the formation of a normal body. So, there are these things called 89 00:07:45,000 --> 00:07:49,000 teratogens, which are chemicals that affect formation of early steps in 90 00:07:49,000 --> 00:07:53,000 development of the embryo. This is a famous one, the effects of a 91 00:07:53,000 --> 00:07:57,000 famous one called thalidomide that was given as an anti-nausea 92 00:07:57,000 --> 00:08:02,000 medication during pregnancy some decades ago. 93 00:08:02,000 --> 00:08:05,000 It has no effect on rodents on which it was tested, 94 00:08:05,000 --> 00:08:09,000 but it was not tested on primates before you give it to people, 95 00:08:09,000 --> 00:08:13,000 and it has the devastating effect of preventing limb formation, 96 00:08:13,000 --> 00:08:17,000 and a number of people were born in the late 1940s, 97 00:08:17,000 --> 00:08:20,000 early 1950s, who lacked limbs because of the effect of 98 00:08:20,000 --> 00:08:24,000 thalidomide. And I have to tell you, 99 00:08:24,000 --> 00:08:28,000 this is very interesting for those of you who are interested in 100 00:08:28,000 --> 00:08:32,000 chemistry. Thalidomide has a pretty simple chemical structure. It has 101 00:08:32,000 --> 00:08:36,000 been studied for many, many decades. It's a very interesting drug because 102 00:08:36,000 --> 00:08:40,000 it turns out it prevents cachexia, which is the wasting that occurs 103 00:08:40,000 --> 00:08:44,000 with many disorders including HIV-AIDS infection. So, 104 00:08:44,000 --> 00:08:49,000 thalidomide is a very, very useful drug. It has a simple chemical 105 00:08:49,000 --> 00:08:53,000 structure. It's been studied for decades, and we do not know its 106 00:08:53,000 --> 00:08:57,000 mechanism of action. OK, here's another one that you might be 107 00:08:57,000 --> 00:09:02,000 familiar with, the drug, not the syndrome, I hope. 108 00:09:02,000 --> 00:09:06,000 So, fetal alcohol syndrome, so, a normal brain, this is a brain 109 00:09:06,000 --> 00:09:10,000 taken from a fetus. That is the late stage gestation human whose 110 00:09:10,000 --> 00:09:15,000 mother drink excessive amounts of alcohol during pregnancy. So, 111 00:09:15,000 --> 00:09:19,000 during the early stages of pregnancy the first few months, 112 00:09:19,000 --> 00:09:23,000 alcohol is devastating to formation of the brain and also to the bones 113 00:09:23,000 --> 00:09:28,000 of the face. And even a reasonable number of drinks, 114 00:09:28,000 --> 00:09:32,000 apparently, just a few can significantly lower the IQ points of 115 00:09:32,000 --> 00:09:36,000 a baby. And so, it's a good reason not to drink if 116 00:09:36,000 --> 00:09:41,000 you're pregnant. This was a very devastating case. 117 00:09:41,000 --> 00:09:45,000 You can see the brain is very smooth. It doesn't have those nice 118 00:09:45,000 --> 00:09:49,000 valleys and hills, the sulci and the gyri, 119 00:09:49,000 --> 00:09:53,000 that the normal brain has, and this fetus would not have been able to 120 00:09:53,000 --> 00:09:57,000 survive. Here's one. This is the dream of all biologists, 121 00:09:57,000 --> 00:10:02,000 developmental or otherwise. It's a dream of bioengineers. It's 122 00:10:02,000 --> 00:10:06,000 probably the dream of everybody. Someone cuts off their arm in an 123 00:10:06,000 --> 00:10:10,000 accident: can we grow a new one? Well, newts can. So, in this 124 00:10:10,000 --> 00:10:14,000 example, newts can. So, in this example, the newt limb, 125 00:10:14,000 --> 00:10:19,000 this poor animal was amputated just above the elbow. But over a period 126 00:10:19,000 --> 00:10:23,000 of a few months, another limb grew back, 127 00:10:23,000 --> 00:10:27,000 smaller than the original but perfectly functional. 128 00:10:27,000 --> 00:10:31,000 We can't do that. How do newts do it, 129 00:10:31,000 --> 00:10:35,000 and how could we use that information to help people grow new 130 00:10:35,000 --> 00:10:39,000 limbs, or new hearts, or new eyes? Fish, for example, 131 00:10:39,000 --> 00:10:43,000 the fisheye work on zebrafish can grow a new heart. You can cut the 132 00:10:43,000 --> 00:10:46,000 heart into two. Take away half of it. It'll regenerate a new heart. 133 00:10:46,000 --> 00:10:50,000 There are animals were you can remove half of the retina or all of 134 00:10:50,000 --> 00:10:54,000 the retina, and it will regenerate a new retina. We do some 135 00:10:54,000 --> 00:10:58,000 regeneration. You can take away two thirds of the liver, and new 136 00:10:58,000 --> 00:11:02,000 liver will grow back. And that's one of the principles 137 00:11:02,000 --> 00:11:06,000 behind liver transplants. But we can't do things like regenerate 138 00:11:06,000 --> 00:11:10,000 eyes, and hearts, and limbs. It's been the focus of 139 00:11:10,000 --> 00:11:14,000 study for a long time to try to figure out how newts do it, 140 00:11:14,000 --> 00:11:18,000 and to ask whether we can capitalize on that knowledge. And 141 00:11:18,000 --> 00:11:22,000 I have to tell you, it's been a very tough area of biology, 142 00:11:22,000 --> 00:11:26,000 still wide open. And that's where the great god of stem cells comes 143 00:11:26,000 --> 00:11:30,000 in. Because it's been so difficult to get limb regeneration, 144 00:11:30,000 --> 00:11:34,000 for example, and heart regeneration, there is a sense that perhaps we 145 00:11:34,000 --> 00:11:38,000 could get groups of cells to repair damaged organs. 146 00:11:38,000 --> 00:11:42,000 And stem cells are the things that hold this promise. And 147 00:11:42,000 --> 00:11:47,000 we'll have a whole lecture on this later. And part and parcel of stem 148 00:11:47,000 --> 00:11:52,000 cells is the very newsworthy issue of human cloning, 149 00:11:52,000 --> 00:11:57,000 making identical replicas of things. And we'll talk about this also in 150 00:11:57,000 --> 00:12:04,000 a separate lecture. OK, all right, 151 00:12:04,000 --> 00:12:12,000 so let's move on to the next set of things that you need to know. And 152 00:12:12,000 --> 00:12:21,000 that's the notion that there are multiple processes that are involved 153 00:12:21,000 --> 00:12:30,000 in setting up development formation of any multi-cellular organism. 154 00:12:30,000 --> 00:12:35,000 So, multiple processes are involved. And these are cell division, 155 00:12:35,000 --> 00:12:40,000 right, a single cell, so, ten to the 14th cells. You figure out how many 156 00:12:40,000 --> 00:12:45,000 rounds of cell division at us. Actually, that's a tough question. 157 00:12:45,000 --> 00:12:50,000 You could go and do that, OK, and over spring break if you're 158 00:12:50,000 --> 00:12:56,000 lying on the beach or hanging out on a mountain, if you can find any snow 159 00:12:56,000 --> 00:13:01,000 you can go and figure out how many cell divisions it takes to get ten 160 00:13:01,000 --> 00:13:06,000 to the 14th cells. But it's not so easy because cells 161 00:13:06,000 --> 00:13:11,000 don't just divide from one to ten to the 14th. As they are dividing, 162 00:13:11,000 --> 00:13:16,000 there's a balance of cell division, and as we talked about last lecture, 163 00:13:16,000 --> 00:13:20,000 of cell death. OK, so cell division versus cell death, 164 00:13:20,000 --> 00:13:25,000 and so I can't tell you how many divisions that takes because there 165 00:13:25,000 --> 00:13:30,000 are a lot of cells that die along the way to those ten 166 00:13:30,000 --> 00:13:35,000 to the 14th cells. Here's another one: cell type. 167 00:13:35,000 --> 00:13:40,000 What's cell type? Different kinds of cells in the 168 00:13:40,000 --> 00:13:44,000 body, we mentioned this right at the beginning of the course. Skin cells, 169 00:13:44,000 --> 00:13:49,000 cells that produce the hair, nerve cells, red blood cells, 170 00:13:49,000 --> 00:13:54,000 and so on. There are probably 500 different cell types, 171 00:13:54,000 --> 00:13:58,000 and these each have specific functions. And 172 00:13:58,000 --> 00:14:03,000 the definition of a cell type really is a group of cells with 173 00:14:03,000 --> 00:14:08,000 a particular function. Something else that's interesting 174 00:14:08,000 --> 00:14:12,000 about turning that single cell into a multi-cellular organism is the 175 00:14:12,000 --> 00:14:17,000 notion of position. So, if you look at yourself in the 176 00:14:17,000 --> 00:14:22,000 mirror with all your imperfections, you likely have your arms coming out 177 00:14:22,000 --> 00:14:26,000 of your shoulders, and your head coming up above your 178 00:14:26,000 --> 00:14:31,000 shoulders also. Something has made the decision to put those parts of 179 00:14:31,000 --> 00:14:36,000 your body in their correct place. And that system is a set of 180 00:14:36,000 --> 00:14:40,000 positional information. It's kind of like a map. And as you're going 181 00:14:40,000 --> 00:14:45,000 from a single cell to a multi-cellular organism, 182 00:14:45,000 --> 00:14:49,000 there is a set of molecular information that really puts the 183 00:14:49,000 --> 00:14:53,000 coordinates on a map just as it you had a blank map of the world and you 184 00:14:53,000 --> 00:14:58,000 put on the Cartesian coordinates. So you would do that to the 185 00:14:58,000 --> 00:15:02,000 developing embryo. So, there's something called positional 186 00:15:02,000 --> 00:15:07,000 information, and the final thing is three-dimensional structure. 187 00:15:07,000 --> 00:15:11,000 And we'll have a whole lecture on 3-D structure. But 188 00:15:11,000 --> 00:15:15,000 suffice to say for now, cells do not work as single 189 00:15:15,000 --> 00:15:19,000 entities. The blood subsystem, the hematopoietic system, is the 190 00:15:19,000 --> 00:15:23,000 only real example in the body of cells working as single systems. 191 00:15:23,000 --> 00:15:27,000 And even there, they don't really. In all cases, 192 00:15:27,000 --> 00:15:31,000 cells group together to form tissues, and is tissues grouped together 193 00:15:31,000 --> 00:15:36,000 to form organs. And the precise three-dimensional 194 00:15:36,000 --> 00:15:41,000 structure by which they form is really important. So, 195 00:15:41,000 --> 00:15:46,000 here are some examples. I'm going to show you a movie of some stages 196 00:15:46,000 --> 00:15:51,000 of human development. This is taken from material collected a long time 197 00:15:51,000 --> 00:15:56,000 ago. And what I want you to see is that over a period of a few weeks 198 00:15:56,000 --> 00:16:01,000 how the sides of the embryo changes due to cell division. OK, so -- 199 00:16:01,000 --> 00:16:09,000 So these are all taken at the same 200 00:16:09,000 --> 00:16:13,000 magnification. And you can see that as time progresses, 201 00:16:13,000 --> 00:16:16,000 the size of the embryo changes, and this was all due to cell 202 00:16:16,000 --> 00:16:20,000 division. You can see that shape changes as well, 203 00:16:20,000 --> 00:16:23,000 and this is due to various processes including modeling through cell 204 00:16:23,000 --> 00:16:27,000 death. One of the interesting things about this, 205 00:16:27,000 --> 00:16:31,000 and this will be on your website. You can look at it. 206 00:16:31,000 --> 00:16:34,000 One of the interesting things about this is that early human embryos 207 00:16:34,000 --> 00:16:37,000 have a tail. So, you had a tail, a really pretty good 208 00:16:37,000 --> 00:16:41,000 tail until you were about 56 days old. And then, 209 00:16:41,000 --> 00:16:44,000 it disappeared. And in these early embryos, 210 00:16:44,000 --> 00:16:48,000 if you go back and look at this again, you will see the embryo has a 211 00:16:48,000 --> 00:16:51,000 tail. So, this is a manifestation over the tremendous change in size 212 00:16:51,000 --> 00:16:54,000 of a human embryo caused by changes in the number of cells. This cell 213 00:16:54,000 --> 00:16:58,000 death, duck feet, chicken feet, chicken feet are not 214 00:16:58,000 --> 00:17:02,000 web. Duck feet are webbed. They start 215 00:17:02,000 --> 00:17:06,000 off looking almost identical. And the difference is that between the 216 00:17:06,000 --> 00:17:10,000 digits, between the fingers or the toes, the cells die in the case of 217 00:17:10,000 --> 00:17:14,000 the chicken, and they do not die in the case of the duck. And 218 00:17:14,000 --> 00:17:19,000 if you go back and look at this, you will see that there are little 219 00:17:19,000 --> 00:17:23,000 dots between the digits of the chick, and not the digits of the duck, 220 00:17:23,000 --> 00:17:27,000 and those are the cells dying. So, there is a controlled process of 221 00:17:27,000 --> 00:17:32,000 cell death that's very important. Tissues, cell type, 222 00:17:32,000 --> 00:17:36,000 this is really one of the most extraordinary examples in the body 223 00:17:36,000 --> 00:17:40,000 of different cell types, and different cell types working 224 00:17:40,000 --> 00:17:44,000 together to a common function. This is a diagram of the retina that I 225 00:17:44,000 --> 00:17:48,000 took from your book, and it exemplifies two things: one, 226 00:17:48,000 --> 00:17:52,000 a bunch of different cell types. These are all nerve cells that are 227 00:17:52,000 --> 00:17:56,000 in the retina, and they are nerve cells that in 228 00:17:56,000 --> 00:18:00,000 various ways, either sense light or transmit the signal of the light 229 00:18:00,000 --> 00:18:05,000 once the light has been sensed to other nerve cells. 230 00:18:05,000 --> 00:18:09,000 You can see, firstly, there are these different cell types, 231 00:18:09,000 --> 00:18:13,000 and you can see secondly, represented by colors, you can see 232 00:18:13,000 --> 00:18:18,000 that they're organized in layers. There is a very precise and very 233 00:18:18,000 --> 00:18:22,000 important layering of cell types in the retina. If you disrupt that 234 00:18:22,000 --> 00:18:27,000 layering, the retina doesn't work. And in many cases of retinal 235 00:18:27,000 --> 00:18:31,000 degeneration, the retina doesn't work because the cells have, 236 00:18:31,000 --> 00:18:35,000 the layering has been disorganized, and the cells can't make the proper 237 00:18:35,000 --> 00:18:40,000 contacts with one another. Position: we talk about axes in the 238 00:18:40,000 --> 00:18:44,000 animal, and in the adult as well. We talk about an anterior, 239 00:18:44,000 --> 00:18:49,000 posterior axis, which is the set of organs from the head to the tail. 240 00:18:49,000 --> 00:18:53,000 We talk about a dorsal, ventral axis from the back of the 241 00:18:53,000 --> 00:18:58,000 animal to the belly. And we talk about a left-right axis from 242 00:18:58,000 --> 00:19:02,000 the left to the right. So, if you look at yourself in a mirror 243 00:19:02,000 --> 00:19:07,000 again, you'll look pretty symmetric. If you were to peel back your body 244 00:19:07,000 --> 00:19:11,000 wall and look at your organs inside, you will see that you are not 245 00:19:11,000 --> 00:19:15,000 symmetric at all. You have an asymmetry along your left-right 246 00:19:15,000 --> 00:19:20,000 axis. OK, so you will need to know these terms: anterior, 247 00:19:20,000 --> 00:19:24,000 posterior, dorsal, ventral, and left-right is easy. And 248 00:19:24,000 --> 00:19:29,000 finally, here's three dimensional structure. Here is the heart. 249 00:19:29,000 --> 00:19:33,000 The heart is a muscle. It's actually got several different cell 250 00:19:33,000 --> 00:19:37,000 types. But it is mostly muscle where the muscle is arrayed in 251 00:19:37,000 --> 00:19:42,000 various, precise, organization. And 252 00:19:42,000 --> 00:19:46,000 it's this precise organization of the cells that allows the heart to 253 00:19:46,000 --> 00:19:51,000 pump. How do you get this organization? We'll talk about that 254 00:19:51,000 --> 00:19:55,000 later on in the course. Can you regenerate this organization either 255 00:19:55,000 --> 00:20:00,000 artificially, or in some kind of tissue culture system? 256 00:20:00,000 --> 00:20:04,000 Very tough to do, and as you may know, there is no good artificial 257 00:20:04,000 --> 00:20:08,000 heart out there right now. This is a great thing for some of 258 00:20:08,000 --> 00:20:12,000 you to think about for your future careers. It's wide open. Are there 259 00:20:12,000 --> 00:20:15,000 circumstances where we could regenerate a human heart in a test 260 00:20:15,000 --> 00:20:19,000 tube or in a large test tube on a Petri plate, for example? 261 00:20:19,000 --> 00:20:22,000 It would have to be a very large test tube, right, 262 00:20:22,000 --> 00:20:26,000 a box, a test box? I don't think so. I think that is 263 00:20:26,000 --> 00:20:29,000 really going to be very, very tough to do, and I think we 264 00:20:29,000 --> 00:20:33,000 have to think more carefully about how we are going to repair 265 00:20:33,000 --> 00:20:36,000 damaged hearts. Again, we'll talk more about this. 266 00:20:36,000 --> 00:20:40,000 So, what I'm going to do now is to show you a movie of the development 267 00:20:40,000 --> 00:20:44,000 of an early fish embryo. The kind of fish is called a zebra fish. I 268 00:20:44,000 --> 00:20:48,000 work on these in my laboratory. I have about 10, 269 00:20:48,000 --> 00:20:52,000 00 of them there, and I'm going to use them. Yes, 270 00:20:52,000 --> 00:20:56,000 I have 10,000 fish. If you want to come and visit my laboratory and see 271 00:20:56,000 --> 00:21:00,000 my fish, you can. It's a fantastic model system. 272 00:21:00,000 --> 00:21:04,000 And I'm going to use this movie and this embryo to show you something 273 00:21:04,000 --> 00:21:09,000 about the sequence of events that take place during development. I 274 00:21:09,000 --> 00:21:14,000 want you to look for cell division, and I want you to look for 275 00:21:14,000 --> 00:21:19,000 structural changes as you watch the movie. Let's look at the movie 276 00:21:19,000 --> 00:21:24,000 again without the music. And let me show you what you're looking at. So, 277 00:21:24,000 --> 00:21:28,000 to zebra fish, like the chicken, 278 00:21:28,000 --> 00:21:33,000 and actually almost like the human develops as a disk of cells, 279 00:21:33,000 --> 00:21:37,000 or from a little disk of cells. I'll show this to you again when it 280 00:21:37,000 --> 00:21:41,000 starts again, that sits on top of a yolk cell. Chickens have got a yolk 281 00:21:41,000 --> 00:21:45,000 cell. That's the yolk of egg. Humans don't. But otherwise things 282 00:21:45,000 --> 00:21:49,000 are very similar. Let me try to start that. OK, 283 00:21:49,000 --> 00:21:53,000 good. So, we're going to look at this again. Here is the yolk cell. 284 00:21:53,000 --> 00:21:57,000 This big round ball here is the so-called yolk cell, 285 00:21:57,000 --> 00:22:01,000 and that's going to be the food of the embryo. These two bumps 286 00:22:01,000 --> 00:22:04,000 on top are two cells. This is a two cell stage embryo. 287 00:22:04,000 --> 00:22:07,000 And as you watch the movie for the last time, and I'll post it on your 288 00:22:07,000 --> 00:22:11,000 website so you can watch it as much as you want, you'll see these two 289 00:22:11,000 --> 00:22:14,000 cells divide into four cells, and eight cells, and 16 cells, 290 00:22:14,000 --> 00:22:17,000 and so on, until they've made a little dome of cells sitting on top 291 00:22:17,000 --> 00:22:21,000 of the yolk cell. And then, at that point, suddenly at some 292 00:22:21,000 --> 00:22:24,000 point, and this is very interesting. That group of cells realizes that 293 00:22:24,000 --> 00:22:27,000 there's enough of them, and they start to move. And they 294 00:22:27,000 --> 00:22:31,000 spread out to cover the whole yolk cell. 295 00:22:31,000 --> 00:22:35,000 And as they do this, a bunch of them also move to the 296 00:22:35,000 --> 00:22:39,000 right hand side of the board. And if you watch, you could see stuff 297 00:22:39,000 --> 00:22:43,000 happening. And at the end of the movie, 298 00:22:43,000 --> 00:22:47,000 you could see something that might have been somewhat recognizable to 299 00:22:47,000 --> 00:22:51,000 you as a developing little animal in that it had an eye, 300 00:22:51,000 --> 00:22:55,000 and I'll point this out, and it had a tail. So, let's watch 301 00:22:55,000 --> 00:23:00,000 it again and I'll stop it at various points, and I will point out stuff. 302 00:23:00,000 --> 00:23:03,000 Where did my mouse go? There it is. OK, so here's the 303 00:23:03,000 --> 00:23:07,000 cell division. Cells are dividing. They are dividing, 304 00:23:07,000 --> 00:23:10,000 they're dividing, they're dividing, and making this little dome on top 305 00:23:10,000 --> 00:23:14,000 of the embryo on top of the yolk. So, this little group of cells is 306 00:23:14,000 --> 00:23:18,000 going to give rise to the whole fish. And although humans don't 307 00:23:18,000 --> 00:23:21,000 have a yolk cell like this, human embryos look very similar. 308 00:23:21,000 --> 00:23:25,000 And now, this group of cells is going to spread out. You will see a 309 00:23:25,000 --> 00:23:29,000 kind of haze spreading out over this yolk cell. 310 00:23:29,000 --> 00:23:33,000 That's the cells moving. There they go. They're moving, 311 00:23:33,000 --> 00:23:37,000 moving, moving, moving, moving down. And at the same time, 312 00:23:37,000 --> 00:23:42,000 a bunch of them are moving to the side of the embryo. And as you 313 00:23:42,000 --> 00:23:46,000 watch, take a look. Here is the high. This oval is the eye and the 314 00:23:46,000 --> 00:23:51,000 brain is going to develop up here. And watch these little shiver and 315 00:23:51,000 --> 00:23:55,000 shaky things on the side as well. Those are the developing muscles. 316 00:23:55,000 --> 00:24:00,000 OK, and so, there it goes, a lot of shape forming. 317 00:24:00,000 --> 00:24:04,000 And we are going to move on from there. OK, so go and take a look at 318 00:24:04,000 --> 00:24:08,000 this at your leisure. We are going to talk about some of those 319 00:24:08,000 --> 00:24:12,000 processes again. So, let's move on to the next point that 320 00:24:12,000 --> 00:24:16,000 we need to deal with, and that is a point that I've called 321 00:24:16,000 --> 00:24:20,000 here cell fate requires differential gene expression. But 322 00:24:20,000 --> 00:24:24,000 I'm going to state it more simply on the boards, which are 323 00:24:24,000 --> 00:24:34,000 now not responsive. 324 00:24:34,000 --> 00:24:42,000 OK, here's an easy way to state this. Genes control development. 325 00:24:42,000 --> 00:24:50,000 OK, well, that doesn't sound so 326 00:24:50,000 --> 00:24:54,000 surprising. Genes control everything as far as you've been 327 00:24:54,000 --> 00:24:58,000 told, but let's talk about that in a bit more detail. And 328 00:24:58,000 --> 00:25:02,000 there are three things you should know about this. Firstly, 329 00:25:02,000 --> 00:25:06,000 the function of a cell depends on the specific proteins present. 330 00:25:06,000 --> 00:25:15,000 So, cell function depends on specific proteins. 331 00:25:15,000 --> 00:25:21,000 Second thing: all cells contain the 332 00:25:21,000 --> 00:25:27,000 same genes or the same set of genes -- 333 00:25:27,000 --> 00:25:38,000 And the third thing is that only 334 00:25:38,000 --> 00:25:42,000 some of those genes are used in each cell type. 335 00:25:42,000 --> 00:25:50,000 And I'm going to use the term 336 00:25:50,000 --> 00:25:58,000 expressed, which we've encountered before. Only some genes are 337 00:25:58,000 --> 00:26:05,000 expressed in each cell type. And I'm also going to introduce to 338 00:26:05,000 --> 00:26:11,000 you a term called fate where the term is similarly used to the 339 00:26:11,000 --> 00:26:18,000 English term fate, but not quite, where fate and 340 00:26:18,000 --> 00:26:25,000 development refers to the final form and function of a cell. 341 00:26:25,000 --> 00:26:33,000 All right, so let's see what we 342 00:26:33,000 --> 00:26:37,000 have. Here's something we've seen before, this kind of tiresome 343 00:26:37,000 --> 00:26:41,000 diagram that's useful and that should be really familiar to you, 344 00:26:41,000 --> 00:26:45,000 the passage of information from DNA through an RNA intermediate to a 345 00:26:45,000 --> 00:26:50,000 protein product. And the formation of the final product 346 00:26:50,000 --> 00:26:54,000 from the gene is termed gene expression. Cell types are 347 00:26:54,000 --> 00:26:58,000 different because they make different proteins. We've talked 348 00:26:58,000 --> 00:27:03,000 about these three cell types previously. 349 00:27:03,000 --> 00:27:07,000 Erythrocytes are so because they're making globin, 350 00:27:07,000 --> 00:27:12,000 which carries oxygen around the body. Neurons are making proteins, 351 00:27:12,000 --> 00:27:17,000 which send out the filaments, and chemicals that allow nerves to 352 00:27:17,000 --> 00:27:22,000 communicate with each other and so on. Number 15 on your hand out, 353 00:27:22,000 --> 00:27:27,000 the first slide on your handout, you need to know this really, 354 00:27:27,000 --> 00:27:34,000 really clearly. This is important. 355 00:27:34,000 --> 00:27:40,000 And part of the deal here is something I'm going to write on the 356 00:27:40,000 --> 00:27:46,000 board, firstly, that in any process of figuring out 357 00:27:46,000 --> 00:27:52,000 what a cell is going to become, there are multiple steps to a final 358 00:27:52,000 --> 00:27:58,000 fate. It doesn't just happen at once. 359 00:27:58,000 --> 00:28:05,000 And secondly, I want to make the distinction between regulatory genes 360 00:28:05,000 --> 00:28:17,000 and differentiation genes -- 361 00:28:17,000 --> 00:28:24,000 -- where regulatory genes, we can rephrase this, control cell 362 00:28:24,000 --> 00:28:32,000 fate, and differentiation genes affect cell fate. 363 00:28:32,000 --> 00:28:37,000 They carry out cell fate. And here is a litany that I've written 364 00:28:37,000 --> 00:28:42,000 out for you that is important that you know. In the life of a cell, 365 00:28:42,000 --> 00:28:47,000 as it's deciding what to become, it goes through multiple stages. It 366 00:28:47,000 --> 00:28:52,000 starts off not knowing what it's going to become, 367 00:28:52,000 --> 00:28:58,000 and we call those uncommitted cells. Kind of like you when you came to 368 00:28:58,000 --> 00:29:03,000 MIT, you were uncommitted and perhaps still are as to what you're 369 00:29:03,000 --> 00:29:08,000 going to do next. But over time, 370 00:29:08,000 --> 00:29:12,000 through the passage of time, you get various inputs and you 371 00:29:12,000 --> 00:29:16,000 decide what you are going to become either as a cell or as an MIT 372 00:29:16,000 --> 00:29:20,000 student. And at that point, you are called committed or 373 00:29:20,000 --> 00:29:24,000 determined. That's the jargon. You need to know it. It's very 374 00:29:24,000 --> 00:29:28,000 important. Committed or determined cells have made the decision what to 375 00:29:28,000 --> 00:29:32,000 be. But they haven't gone on and become the final thing that 376 00:29:32,000 --> 00:29:36,000 they're going to be. So, maybe you are premed, 377 00:29:36,000 --> 00:29:40,000 and by now you have committed to being premed. So, 378 00:29:40,000 --> 00:29:44,000 you are different than when you came in here, but you certainly are not a 379 00:29:44,000 --> 00:29:48,000 qualified physician at this point. In order to do that, 380 00:29:48,000 --> 00:29:51,000 you're going to have to go through another bunch of steps and find your 381 00:29:51,000 --> 00:29:55,000 final form. You're going to have to differentiate into a physician or 382 00:29:55,000 --> 00:29:59,000 into a cell type. So, this uncommitted-committed 383 00:29:59,000 --> 00:30:03,000 differentiated litany triad is something we're going to talk 384 00:30:03,000 --> 00:30:07,000 about over and over. It's going to come up throughout the 385 00:30:07,000 --> 00:30:11,000 course probably in most of the lectures that both I and Professor 386 00:30:11,000 --> 00:30:16,000 Jacks will give you. During this passage, and you've got the slide, 387 00:30:16,000 --> 00:30:20,000 this is the slide you actually have, is two sets of genes are activated, 388 00:30:20,000 --> 00:30:25,000 regulatory genes and differentiation genes. As the uncommitted cells 389 00:30:25,000 --> 00:30:30,000 decide what they're going to be, regulatory genes are activated. 390 00:30:30,000 --> 00:30:34,000 As the committed cells go on to read out the final thing, 391 00:30:34,000 --> 00:30:38,000 their final function, the activation of differentiation 392 00:30:38,000 --> 00:30:42,000 genes takes place. So, how does it work? How does a cell 393 00:30:42,000 --> 00:30:46,000 decide what to become, and how do different cells decide to 394 00:30:46,000 --> 00:30:50,000 become different things? Well, this is the way I think about 395 00:30:50,000 --> 00:30:54,000 this. This isn't the way your book thinks about it, 396 00:30:54,000 --> 00:30:58,000 but this is the way I think about it. I think that there is a 397 00:30:58,000 --> 00:31:03,000 combinatorial regulatory code that controls cell type. 398 00:31:03,000 --> 00:31:07,000 And so, let's have an example of the three cell types I've talked about 399 00:31:07,000 --> 00:31:11,000 before, your erythrocyte neuron and sperm. And let's look at the 400 00:31:11,000 --> 00:31:16,000 regulatory genes that each expresses. You can look on the 401 00:31:16,000 --> 00:31:20,000 screen. You have this in front of you as a handout. So, 402 00:31:20,000 --> 00:31:25,000 I've arbitrarily said that an erythrocyte is expressing regulatory 403 00:31:25,000 --> 00:31:29,000 genes, R, F, and K, the neurons expressing A, 404 00:31:29,000 --> 00:31:34,000 I, and K, and the sperm is expressing A, F, and K. 405 00:31:34,000 --> 00:31:39,000 OK, now let's look at those. Those three groups of three letters are 406 00:31:39,000 --> 00:31:44,000 different from one another. And so, for each of these cell types, there 407 00:31:44,000 --> 00:31:49,000 is a unique set of letters or a unique regulatory code. What's this 408 00:31:49,000 --> 00:31:55,000 code made up of? Well, it's made up of cell type 409 00:31:55,000 --> 00:32:00,000 specific factors, or cell type specific regulatory 410 00:32:00,000 --> 00:32:05,000 genes, regulatory gene products. RNI are expressed in just the 411 00:32:05,000 --> 00:32:10,000 erythrocyte, or just the neuron. They are cell type specific 412 00:32:10,000 --> 00:32:15,000 regulators. General factors, K is expressed in all of the cells, 413 00:32:15,000 --> 00:32:20,000 and restricted factors, F and A, are expressed in just two of the three 414 00:32:20,000 --> 00:32:25,000 cells. And you can do that for any cell type. You can come up with 415 00:32:25,000 --> 00:32:30,000 some kind of combinatorial code of gene expression of regulatory genes 416 00:32:30,000 --> 00:32:35,000 that control cell fate. Now, these regulatory genes will go 417 00:32:35,000 --> 00:32:39,000 on to activate the expression of a whole bunch of differentiation 418 00:32:39,000 --> 00:32:43,000 genes. And usually a small set of regulatory genes will activate a 419 00:32:43,000 --> 00:32:47,000 large set of differentiation genes that carry out the final function. 420 00:32:47,000 --> 00:32:51,000 So, here I've given you an example for erythrocytes. It's, 421 00:32:51,000 --> 00:32:56,000 again, on your handouts. The regulatory code for erythrocytes, 422 00:32:56,000 --> 00:33:00,000 RFK, a small regulatory code, actually it's probably about 20 423 00:33:00,000 --> 00:33:04,000 genes, will go on and activate at least a hundred genes which will be 424 00:33:04,000 --> 00:33:08,000 the gene products that actually carry out the function 425 00:33:08,000 --> 00:33:14,000 of red blood cells. OK, so regulatory genes activate 426 00:33:14,000 --> 00:33:20,000 differentiation genes. What's all this regulatory stuff? 427 00:33:20,000 --> 00:33:26,000 What are these regulatory genes? So, here you have to think back to 428 00:33:26,000 --> 00:33:32,000 previous lectures. Remember this diagram? You have it. 429 00:33:32,000 --> 00:33:36,000 You've had it several times. This is the hierarchy of things that 430 00:33:36,000 --> 00:33:40,000 happened from the gene in the nucleus to the final, 431 00:33:40,000 --> 00:33:44,000 modified, localized protein products. You can control, 432 00:33:44,000 --> 00:33:48,000 the cell can control gene expression at any point along this hierarchy. 433 00:33:48,000 --> 00:33:52,000 It can control transcription, initiation, or termination, RNA 434 00:33:52,000 --> 00:33:56,000 splicing, stability or exports, translation, the initiation or 435 00:33:56,000 --> 00:34:00,000 elongation. It can control export of proteins to different parts of 436 00:34:00,000 --> 00:34:04,000 the cell through protein trafficking, modification and control 437 00:34:04,000 --> 00:34:09,000 of protein stability. And there are more. OK, 438 00:34:09,000 --> 00:34:14,000 this is some of the list of steps at which gene expression can be 439 00:34:14,000 --> 00:34:19,000 regulated. And those hypothetical regulatory 440 00:34:19,000 --> 00:34:24,000 factors I told you about in the last couple of slides can be anything 441 00:34:24,000 --> 00:34:29,000 that affect any of these steps from the gene to the final product. OK, 442 00:34:29,000 --> 00:34:34,000 all right, so here's another one that you need to know. 443 00:34:34,000 --> 00:34:37,000 Complexity increases with developmental age. 444 00:34:37,000 --> 00:34:57,000 And what I'm going to tell you 445 00:34:57,000 --> 00:35:03,000 about is how as development proceeds, as you get different cell types 446 00:35:03,000 --> 00:35:09,000 forming, you have to make groups of cells with specific 447 00:35:09,000 --> 00:35:25,000 regulatory codes. 448 00:35:25,000 --> 00:35:37,000 And these cells -- 449 00:35:37,000 --> 00:35:40,000 And these regulatory codes will lead to a specific fate. So, 450 00:35:40,000 --> 00:35:44,000 here's a nice example just by looking at development of an organ, 451 00:35:44,000 --> 00:35:48,000 for example, and this is important if you're going to try to engineer 452 00:35:48,000 --> 00:35:52,000 an organ through tissue engineering. You have to understand there are 453 00:35:52,000 --> 00:35:56,000 normally many, many steps involved. These are the 454 00:35:56,000 --> 00:36:00,000 beginning steps in formation of the eye. 455 00:36:00,000 --> 00:36:04,000 And it doesn't matter what each of these steps are, 456 00:36:04,000 --> 00:36:08,000 but if you look at the progression of cells, each of these lines are 457 00:36:08,000 --> 00:36:12,000 groups of cells. You can see that they organized in different ways. 458 00:36:12,000 --> 00:36:16,000 They fold. Bits break off, and you'll end up with a structure 459 00:36:16,000 --> 00:36:20,000 that's a lot more complex just in a pictorial way than it was in the 460 00:36:20,000 --> 00:36:24,000 beginning. And that is true in terms of every aspect of this organ. 461 00:36:24,000 --> 00:36:28,000 It is more complex at the end than at the beginning. And 462 00:36:28,000 --> 00:36:32,000 somewhere through here, you have to increase the complexity of 463 00:36:32,000 --> 00:36:36,000 this developing tissue. So, how do you do it? 464 00:36:36,000 --> 00:36:41,000 This is the way I like to think about this, and this is number 20 of 465 00:36:41,000 --> 00:36:46,000 your handout. Here's an egg or a zygote, if you like, 466 00:36:46,000 --> 00:36:50,000 a one cell embryo. It's one cell. There's only one kind of cell there. 467 00:36:50,000 --> 00:36:55,000 Or, I like to think in terms of territories. There's only one 468 00:36:55,000 --> 00:37:00,000 territory there. Now, I've also put a red dot in the 469 00:37:00,000 --> 00:37:05,000 cell. And this red dot can be anything. 470 00:37:05,000 --> 00:37:09,000 But it really is in terms of our conversation a group of regulatory 471 00:37:09,000 --> 00:37:14,000 gene products, or one regulatory gene product. 472 00:37:14,000 --> 00:37:18,000 Watch what happens when in my hypothetical example the cell 473 00:37:18,000 --> 00:37:22,000 divides. The red dot goes to one cell, and not the other cell. And 474 00:37:22,000 --> 00:37:27,000 so, now I've got two different kinds of cells. The regulators are in one 475 00:37:27,000 --> 00:37:31,000 cell and not in the other cell. And then, I've gone through 476 00:37:31,000 --> 00:37:36,000 this and done it again. When the cells go to four cells, 477 00:37:36,000 --> 00:37:40,000 suddenly I've magically put a blue dot in one of the cells, 478 00:37:40,000 --> 00:37:44,000 and there's a red dot in another cell, and there's some cells with no 479 00:37:44,000 --> 00:37:49,000 dots. And those give me three different kinds of cells, 480 00:37:49,000 --> 00:37:53,000 or if you like, three different kinds of territories. And 481 00:37:53,000 --> 00:37:57,000 for territories, you can read regulatory code, set of regulatory 482 00:37:57,000 --> 00:38:02,000 gene products. So, what have we done? 483 00:38:02,000 --> 00:38:06,000 What we have done in this example is to take a zygote or an egg, 484 00:38:06,000 --> 00:38:10,000 if you like, that is symmetric at least along one axis, 485 00:38:10,000 --> 00:38:14,000 and to divide it so that it's now got two daughters cells that are 486 00:38:14,000 --> 00:38:18,000 different from one another. So, there is a breaking of symmetry 487 00:38:18,000 --> 00:38:22,000 somewhere in this process. Now, in actual fact, if you look at the 488 00:38:22,000 --> 00:38:26,000 egg, it's really only symmetric in one axis. And so, it's not 489 00:38:26,000 --> 00:38:31,000 uniformly symmetric. But one of the things we think 490 00:38:31,000 --> 00:38:36,000 about in development is that every time you make a new cell type, 491 00:38:36,000 --> 00:38:41,000 you have to break symmetry. You get two different kinds of cell from one 492 00:38:41,000 --> 00:38:51,000 kind of cell. All right -- 493 00:38:51,000 --> 00:38:55,000 So, I'll come back to that diagram in a moment, but I want to, 494 00:38:55,000 --> 00:39:00,000 the fifth point I want to give you is that regulatory factors act 495 00:39:00,000 --> 00:39:19,000 within cells and between cells. 496 00:39:19,000 --> 00:39:25,000 Really important, that's why it's up on the screen and 497 00:39:25,000 --> 00:39:32,000 it's on the board. I'm going to tell you about three things. I'm 498 00:39:32,000 --> 00:39:38,000 going to tell you about regulatory factors that are given the term, 499 00:39:38,000 --> 00:39:45,000 determinants that work in a cell autonomous way. That means with 500 00:39:45,000 --> 00:39:51,000 inside the cell that carries them. I want to tell you about regulators 501 00:39:51,000 --> 00:39:58,000 called inducers that act between cells or in cell-cell signaling. 502 00:39:58,000 --> 00:40:04,000 And I'm going to tell you about a subset of inducers called morphogens, 503 00:40:04,000 --> 00:40:10,000 which work in a concentration dependent way. 504 00:40:10,000 --> 00:40:22,000 So, this is a kind of magic, 505 00:40:22,000 --> 00:40:28,000 and it isn't a kind of magic. The molecules I'll tell you about our 506 00:40:28,000 --> 00:40:34,000 molecules that you've heard about previously, OK? 507 00:40:34,000 --> 00:40:40,000 The phrasing, the jargon is a little 508 00:40:40,000 --> 00:40:44,000 different and you need to learn it because this is jargon that's used 509 00:40:44,000 --> 00:40:48,000 throughout biology. Let's first of all talk about these things called 510 00:40:48,000 --> 00:40:52,000 determinants. And the notion here is that cells become 511 00:40:52,000 --> 00:40:57,000 different because of what they inherit. And 512 00:40:57,000 --> 00:41:01,000 I've drawn for you here, and this is number 21 on your 513 00:41:01,000 --> 00:41:05,000 handout, I've drawn for you here a cell, this blue thing 514 00:41:05,000 --> 00:41:10,000 with squares in it. The squares are determinants, 515 00:41:10,000 --> 00:41:14,000 and determinants are some kind of regulatory factor. They may be one 516 00:41:14,000 --> 00:41:18,000 regulatory factor, maybe more than one regulatory 517 00:41:18,000 --> 00:41:23,000 factor. They may be transcription factors. They may be splicing 518 00:41:23,000 --> 00:41:27,000 factors. They may be micro-RNA's. They may be all the things we've 519 00:41:27,000 --> 00:41:32,000 talked about in previous lectures, but I've drawn them as squares. 520 00:41:32,000 --> 00:41:35,000 And here's a cell with those little squares. And I've drawn it so that 521 00:41:35,000 --> 00:41:39,000 all the squares are on one side and not the other. And 522 00:41:39,000 --> 00:41:43,000 of course, you're sitting there asking, how did the squares get on 523 00:41:43,000 --> 00:41:47,000 one side but not the other? And that is a really good 524 00:41:47,000 --> 00:41:51,000 question. And I'm not going to tell you how to get 525 00:41:51,000 --> 00:41:55,000 on one side but not the other. But there is a whole system in the cell 526 00:41:55,000 --> 00:41:59,000 of pulleys using things like microtubules where specific squares, 527 00:41:59,000 --> 00:42:03,000 specific molecules, can actually be pulled to one side of the 528 00:42:03,000 --> 00:42:06,000 cell or the other. And then, you're going to ask me, 529 00:42:06,000 --> 00:42:10,000 well, how do they know which side of the cell to move to? 530 00:42:10,000 --> 00:42:13,000 And that's another great question that I'm not going to answer. But 531 00:42:13,000 --> 00:42:16,000 suffice to say there is a whole molecular machinery that can move 532 00:42:16,000 --> 00:42:20,000 regulatory molecules to different places in the cell. But 533 00:42:20,000 --> 00:42:23,000 let's go back to our cell that's got squares on one side and not on the 534 00:42:23,000 --> 00:42:27,000 other. When it divides, it gives rise to a cell that's got 535 00:42:27,000 --> 00:42:30,000 lots of squares, lots of determinants, 536 00:42:30,000 --> 00:42:34,000 and another cell that doesn't have any. 537 00:42:34,000 --> 00:42:38,000 The cell with the determinants goes on to make cell type one because it 538 00:42:38,000 --> 00:42:42,000 has a specific set of regulatory factors. The cell without them goes 539 00:42:42,000 --> 00:42:46,000 on to make another cell type. It's not that it doesn't have any 540 00:42:46,000 --> 00:42:50,000 regulators; it just doesn't have the ones in the squares. So, 541 00:42:50,000 --> 00:42:54,000 cells are different because of what they inherit. Here is a fantastic 542 00:42:54,000 --> 00:42:58,000 example. These are early worm embryos, early embryos 543 00:42:58,000 --> 00:43:02,000 of [scientific name]. We mentioned this last time that 544 00:43:02,000 --> 00:43:06,000 Professor Horvitz in the biology department got the 545 00:43:06,000 --> 00:43:10,000 Nobel Prize for it several years ago. And this is an example of 546 00:43:10,000 --> 00:43:14,000 determinants moving to different cells during development. So, 547 00:43:14,000 --> 00:43:19,000 the top row are cells that have been stained for their nuclei. And 548 00:43:19,000 --> 00:43:23,000 you can see one cell, two cell, and 32 cell stage embryo. These bottom 549 00:43:23,000 --> 00:43:27,000 pictures are florescent pictures of things called pea granules. These 550 00:43:27,000 --> 00:43:32,000 are determinants. And you can see even at the one cell 551 00:43:32,000 --> 00:43:36,000 stage, there are all located on one side of the cell. At the two cell 552 00:43:36,000 --> 00:43:41,000 stage, they all go to one of the two cells. And at the 32 cell stage, 553 00:43:41,000 --> 00:43:45,000 they are all in the cell over here. And those cells or that cell is 554 00:43:45,000 --> 00:43:50,000 going to give rise to the egg and sperm of [scientific name] 555 00:43:50,000 --> 00:43:55,000 , and those pea granules are determinants for the germ cells. 556 00:43:55,000 --> 00:43:59,000 Here's the other big thing. Cell-cell signaling: cells 557 00:43:59,000 --> 00:44:04,000 may secrete an inducer. This is a ligand. Remember signal 558 00:44:04,000 --> 00:44:08,000 transduction that you talked about in cell biology II? 559 00:44:08,000 --> 00:44:13,000 Those same ligands that are secreted by cells bind to receptors 560 00:44:13,000 --> 00:44:18,000 on target cells. Receptor ligand interaction leads to activation of 561 00:44:18,000 --> 00:44:22,000 signal transduction pathways, again, from cell biology II. And 562 00:44:22,000 --> 00:44:27,000 that over time can change the genes that a cell is expressing and 563 00:44:27,000 --> 00:44:32,000 changed the fate of the cell. So, we call these things inducers 564 00:44:32,000 --> 00:44:36,000 because of the specific assays involved. But really, 565 00:44:36,000 --> 00:44:40,000 they're ligands, often proteins, sometimes lipids, that bind 566 00:44:40,000 --> 00:44:44,000 receptors, activate signal transduction, and change cell fate. 567 00:44:44,000 --> 00:44:48,000 This is number 23 on your handout. So, induction: a process by which 568 00:44:48,000 --> 00:44:52,000 cells become different because their neighbors tell them to do so, 569 00:44:52,000 --> 00:44:56,000 and a variation of induction, oh, here's an example of induction, sea 570 00:44:56,000 --> 00:45:00,000 urchin embryo, the induction is everywhere. 571 00:45:00,000 --> 00:45:04,000 But I've picked this one example. Sea urchin embryo goes on through 572 00:45:04,000 --> 00:45:08,000 time to make this little thing called a pluteus larva. If you 573 00:45:08,000 --> 00:45:12,000 remove the bottom half of the embryo, it goes on. The rest goes on to 574 00:45:12,000 --> 00:45:17,000 make a kind of a round thing with lots of cilia sticking out. And 575 00:45:17,000 --> 00:45:21,000 you can take four little cells that were right on the bottom of the 576 00:45:21,000 --> 00:45:25,000 normal embryo called micro-mirrors and stick them back on this top half 577 00:45:25,000 --> 00:45:30,000 of the embryo that didn't make a normal one. 578 00:45:30,000 --> 00:45:34,000 And it will restore a pretty normal embryo. And it's not that the red 579 00:45:34,000 --> 00:45:38,000 cells have made all the parts of the embryo that we're missing, 580 00:45:38,000 --> 00:45:42,000 or the parts of the larva that were missing. It's that those red cells 581 00:45:42,000 --> 00:45:46,000 have sent out a signal, and that signal has told other cells 582 00:45:46,000 --> 00:45:50,000 what to become. And in the case of the sea urchin, 583 00:45:50,000 --> 00:45:54,000 part of that signal is something called the delta protein. This is a 584 00:45:54,000 --> 00:45:58,000 micrograph of the a sea urchin embryo at a very early stage, 585 00:45:58,000 --> 00:46:02,000 and this brown-purple group of cells here are those cells that contain 586 00:46:02,000 --> 00:46:06,000 the delta protein. These are the micro-mirrors, 587 00:46:06,000 --> 00:46:10,000 and these are involved in inducing the rest of the embryo to become 588 00:46:10,000 --> 00:46:14,000 what it does. Now, inducers, ligands, can be tricky. 589 00:46:14,000 --> 00:46:18,000 They can act in different ways at different concentrations. And 590 00:46:18,000 --> 00:46:23,000 this is one of the big questions of biology. How do they do this? 591 00:46:23,000 --> 00:46:27,000 So, for example, if you have a lot of an inducer, 592 00:46:27,000 --> 00:46:31,000 it may tell cells to become cell type one. If you have a little bit 593 00:46:31,000 --> 00:46:35,000 of an inducer, it may tell cells to become cell 594 00:46:35,000 --> 00:46:40,000 type two. And we'll talk about in a 595 00:46:40,000 --> 00:46:44,000 subsequent lecture the molecular basis for this. So, 596 00:46:44,000 --> 00:46:49,000 an inducer that can induce different fates at different concentrations is 597 00:46:49,000 --> 00:46:52,000 terms a morphogen --