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00:00 | So. Ok. Too much. . Oh, yeah. Right. |
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00:53 | . See, testing, testing, , testing. Oh, there we |
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00:58 | . All right. Well, low turnout today must be a all |
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01:05 | something. I don't know the nice probably. I blame it on nice |
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01:10 | . Um, ok, so exam tomorrow, uh, obviously the stuff |
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01:21 | started last time and continuing today is three. Not on the exam. |
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01:28 | , um, and I, I to double check that. I'm pretty |
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01:33 | it is. CBB testing centers. . Ok. So you may be |
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01:38 | to going to garrison, but check , it's gonna be CBB classroom and |
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01:42 | building right over by Melcher before you to Melcher. But over there, |
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01:49 | . Um, and I, I sent out the email yet. I'll |
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01:51 | that. Uh, when I get and back to my office after class |
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01:55 | send out an email, uh, . So you're, uh, I've |
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02:01 | them, uh, the cost of that you're allowed to have calculators |
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02:05 | So you shouldn't be hassled about Ok. So, uh, it's |
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02:08 | a couple of problems. So, , but you'll be allowed any kind |
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02:13 | , I don't care what kind just a cell phone, of course. |
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02:17 | . So um so wondering why I'm this microphone. Sorry, holding it |
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02:23 | this. Not on my body. have a reveal to make. |
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02:27 | So we got big doings going on tomorrow. Saturday. What's happening |
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02:36 | Big big one? OK. So be there if you see me, |
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02:43 | hurl insults or throw rocks because Yes, yes, yes. Class |
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02:59 | of 84. Yes. Yeah. if somehow U of H wins, |
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03:11 | gets five points out of their, exam too, right? That's how |
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03:19 | than I am, right? All right. Now they pulled me |
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03:26 | said, uh we're not having so I don't want to show my |
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03:32 | . OK. All right. Um . So uh OK. Gotta get |
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03:40 | to uh not as much fun right. OK. Uh All |
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03:47 | Let me tone down this microphone a here. All right. So uh |
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03:53 | . So we're in chapter 78. . So this whole unit is the |
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03:59 | of not the beginning, but we're about aspects of, of bacterial genetics |
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04:06 | . OK. And so we're not into all the details of how DNA |
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04:13 | and how, how protein uh expression in terms of the excruciating details, |
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04:19 | ? Which you've, I'm sure you've that before. Uh But I'm more |
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04:23 | on what's specific to bacterial oreal types and there. OK. So, |
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04:30 | as I mentioned last time, we of did that overview? OK. |
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04:37 | You know, it's, it's gonna if you can kind of remember the |
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04:41 | because when we get into regulation, , uh it's all regulations all based |
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04:46 | controlling the different steps of as you to DNA to RN A to |
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04:51 | OK. So, um, so we'll go into a little bit about |
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04:56 | and seven and eight is not the of those chapters. It's basically |
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05:01 | these topics. OK? Um The and, and chapter eight is, |
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05:09 | mostly um uh just the, the part and only as it relates to |
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05:17 | , the Pro Kario type of that's it. Um Actually the |
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05:23 | if you, if you looked at already, the stuff about OPERON um |
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05:28 | gene organization, that's really mostly in 10, I think. But I |
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05:35 | it's best to kind of seven and are kind of the, the time |
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05:39 | , to explain that. All So, so we'll, we'll go |
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05:42 | it today, but then you, be a bit of a, we'll |
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05:45 | it again. We get the chapter . OK? But anyway, so |
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05:49 | kind of what's going on here. , but I did uh forget to |
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05:53 | questions we had last time. There's I always use uh as the introduction |
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06:01 | to that, to that gene expression thing. And uh when I used |
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06:05 | , when I used to teach intra , it was always a question on |
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06:08 | exam when we, when we covered material. So, uh because it |
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06:11 | much, um, we, we'll you right away whether you really understand |
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06:16 | process or not. So let's look the question here. OK. So |
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06:21 | is, let me pull it OK, I'll come back to |
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06:25 | Let's look at the question. So here is our question. So |
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06:30 | process of transcription translation is carried out a test tube. OK. Uh |
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06:35 | a test tube is added. So have three sources. We have a |
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06:38 | fish and zebra. OK. So hippo is giving us the Mrnatrnas and |
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06:45 | fish is providing DNA zebra is providing RN A ply and any other necessary |
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06:53 | , ribonucleotide and amino acids. So, um the question is assuming |
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07:02 | new, new protein is made. . Uh The proteins of which animal |
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07:08 | will be expressed. OK. um so read that carefully. |
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07:16 | And uh this has been done, mean, this is, this is |
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07:18 | back in the sixties. They do with a hippo fish and zebra. |
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07:22 | they could um you know, it just goes to the universality of |
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07:26 | process. You know, we all it the same way. OK. |
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07:30 | , sorry, I'm blabbering on. . Uh All right, let's do |
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07:35 | again. Here we go. Sorry that. Got carried away. All |
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07:41 | . So, um yeah, you do this in a way call cell |
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07:46 | extract. They call it. And so, and they did |
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07:51 | um, to figure out where they the genetic code, they, they |
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07:56 | like, um, different sequences of to figure out what code on went |
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08:02 | , with Jimmy Acid. So, , so it's, it's something that's |
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08:06 | fantasy. Ok. Mm. Is here born? Nobody was, nobody |
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08:33 | alive in, here in 1984 were ? Ok. I think so. |
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08:39 | be shocked. Ok. Um. . Mhm OK. Let's count down |
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08:54 | . OK. Oh All over the . OK. All right. So |
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09:02 | everybody agree that one of the animals has to be a fish. It's |
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09:08 | be one of them, right? RN A protein, right? Uh |
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09:12 | the other one? Why? Right. Yeah. Right. It's |
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09:20 | hippo and a fish. OK. it's both of these. So |
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09:25 | it's um so let's go back OK. This little review thing. |
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09:32 | right. So if we look so we talked about phenotype and |
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09:38 | right? And how that relates in of the flow of information, |
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09:42 | So, uh traits being expressed, ? So genes are converted into uh |
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09:49 | protein through the the workings of different A molecules, right? So we |
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09:57 | for transcription, the RN A plier produce a RN A copy of the |
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10:02 | . Think of it as the working , if you will uh of the |
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10:06 | information uh that's then is translated into protein through the use of ribosomes transfer |
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10:14 | A molecules Trnas and recognize a coon they bring an amino acid with |
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10:20 | OK. And so, uh as see here, and so the ribosome |
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10:26 | site is where the ribosome will bind a transcript. Uh We have like |
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10:30 | , I'll talk about the, the UG and all that stuff here in |
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10:33 | second. But we have um indicators the transcript of where it begins, |
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10:39 | it ends and uh start code on one of the starter obviously. Uh |
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10:44 | then the three base are the co that come after that. A UG |
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10:49 | A UG itself is a code on . So, um and then uh |
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10:54 | the way, so ribosome pro provide kind of the platform where all this |
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10:58 | happening, uh not shown will be that recognize these coons, bringing the |
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11:05 | amino acid and then we are producing polypeptide chain as we move down. |
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11:11 | . So um the uh uh so look at bypass this to here |
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11:20 | So, remembering that, that genetic table, OK, how we decipher |
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11:26 | code on sequences? These are R a right, specifically from a |
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11:32 | Um And uh it's redundant. And you, I'm sure you know of |
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11:38 | there's 20 me lasses, but there's than 20 coons uh because there's repeatability |
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11:45 | 1234, coon, six coons for . So um the uh punctuation marks |
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11:53 | you will start and stop uh beginning the transcript, uh what else. |
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12:00 | um so looking at that plus minus , the um the um any sense |
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12:07 | um relationship. So here is our the segment of DNA, this will |
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12:14 | a part of a gene obviously. uh the sense DNA is the one |
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12:19 | contains the actual information to make the . Um But as we know, |
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12:26 | would be super easy if we could copy, copy the plus strand directly |
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12:31 | a plus strand. OK. But , doesn't work that way, |
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12:35 | The rules of complementary base pairing, . So the the we copy actually |
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12:39 | antisense or negative strand that will then produced a plus strand. In this |
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12:45 | RN A right transcript. So, these uh are identical, right? |
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12:52 | the plus RN A and the plus strand are identical, obviously, |
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12:58 | the, the T thymine are replaced U cells in RN A. Uh |
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13:04 | uh anyway, so we've, we've that coding information to an RN A |
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13:09 | . OK. And so you then the start code. So the orientation |
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13:14 | this right at the beginning is the prime, it is the side that |
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13:19 | , where it begins and then it to the three prime direction. So |
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13:23 | here uh left to right. Um then you have a stop code on |
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13:27 | some sort one of three that will the end and then each of these |
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13:32 | for a particular uh amino acid. . So again, it's Trnas that |
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13:38 | these coons through anti codons. Complementary anti codons and they, and |
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13:44 | bring the appropriate amino acid with OK. So process, I'm sure |
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13:48 | all, I'm assuming you've seen already to refresh your memory. OK. |
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13:56 | But again, as I mentioned, the importance for us is that back |
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14:01 | for a sec here, ear here um anywhere in this process, whether |
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14:10 | at the level of the protein, uh transcript, the um the uh |
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14:19 | of transcription. OK. So we block, we can block RN a |
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14:25 | from even starting, we can um a, a made transcript and affect |
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14:32 | we can have the Vibra zone and it in terms of its function. |
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14:38 | you can affect the protein itself as as on top of that, you |
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14:43 | manipulate the DNA and change that all things are done to control, control |
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14:50 | process. OK? And multiple of can be working at one time. |
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14:56 | . So it's all about. Uh I remember, you know, as |
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15:00 | said, a bazillion times already this , the process you're seeing here on |
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15:06 | page, right? That that's an energy requiring processes all over the |
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15:14 | right? Whether you're copying DNA making protein, making a transcript, all |
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15:19 | is building stuff, take lots of . So you don't want to waste |
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15:25 | by doing this when you don't need . Ok. So that's why it's |
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15:31 | tightly controlled, right? Your the bulk of your DNA in your |
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15:38 | is likely devoted to some form of , right? Because you have a |
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15:43 | more DNA involved, involved in that of stuff than you even do in |
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15:48 | proteins in genes, right? Like 2% of your, of your genome |
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15:53 | used to produce proteins. The other , right? Is gene regulation and |
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15:57 | functions. OK? Uh Opposite of is most 90 something percent of bacterial |
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16:04 | is protein coded genes. OK? again, whatever life form you are |
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16:11 | genes is a big thing, Because you're not just gonna do those |
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16:16 | when you don't need to. there's certain processes are pretty much on |
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16:20 | the time. Like uh you certain metabolic process, you're, you're |
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16:26 | eating and having to break down food get energy. So those kind of |
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16:30 | involved in that may be on mostly the time. There's lots of other |
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16:34 | that is OK? When you were zygote, right? You had a |
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16:39 | of jeans being turned on to get from a zygote to a full grown |
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16:44 | . OK? I don't think those are working anymore. OK? They're |
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16:48 | , they're just not being expressed. . So anyway, um we'll get |
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16:53 | into that in chapter 10. But um is, is after this |
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17:01 | open another question, let me back uh any questions, right? So |
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17:07 | terms of kind of this gene overview , I mean, I'm not gonna |
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17:10 | you what does a ribosome do? . You're not gonna ask questions like |
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17:14 | . So, um but you again, like I said, I |
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17:17 | it's helpful to kind of re remember if you need to, you |
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17:20 | I think make life easier. Uh But any questions, whatever. |
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17:26 | . All right. OK. So look at this question. OK. |
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17:31 | this is gonna lead us into this is so temperamental. Let's go |
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17:36 | OK. So which of these terms all of the others? OK. |
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17:48 | while you're looking at this, um will, I'm gonna show you the |
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17:58 | system of how genes are organized, I'm not gonna be, you're not |
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18:02 | be tested on it, but you to look at it for comparison. |
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18:16 | . Yeah. So, all Counting down from nine. It's 5 |
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18:30 | . OK. OK. Uh of course. Genome is the big |
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18:37 | . OK. Uh The order is gonna go genome one. What's number |
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18:46 | ? No. So from biggest to ? Which one? Now going in |
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18:53 | ? So biggest, the next the next biggest. What's below? |
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18:59 | you know? Regulon? Yeah. act two and three. Anybody, |
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19:15 | keep spitting it out. It's not operon. Yes. Three. Now |
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19:21 | can say gene, OK. Then . OK. They the small, |
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19:29 | . Um All right, we'll go obviously with opera and Regulon. I |
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19:34 | think you've heard those terms yet, don't think. But, uh any |
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19:40 | ? All right. So, genome and proteome. Ok. Uh Totality |
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19:48 | DNA in any living thing is of , a genome and for most |
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19:52 | it's going to be, you in us it's our 46 chromosomes uh |
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19:59 | a, um, the bacterium, can be its chromosome but it can |
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20:03 | associated plasmids. Ok. Um So it's what's it's the total amount of |
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20:12 | uh the genes in an organism? . Genome. Hence, genome, |
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20:18 | ? So tran transcriptome are basically the , the transcripts uh in the cell |
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20:25 | any given time. OK. So because you take a, take a |
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20:32 | , what do you got in terms transcript film and protein, right? |
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20:37 | protein, of course, is all proteins present. So what would you |
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20:43 | in terms of numbers? OK. larger transcriptome proteome? What would be |
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20:54 | largest? Would you have more transcripts a bacterial cell or more proteins at |
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21:00 | given time? Yeah. So if , if you measured how many Mrnas |
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21:09 | in the cell at time X versus many proteins, what would be bigger |
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21:12 | you think? OK. OK. , I'm not saying you're right or |
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21:21 | . Um It turns out because I actually curious about that myself because I |
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21:26 | my own idea that maybe it might transcripts but, and some missing information |
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21:33 | is that RNAs in general, especially pro Caros last on the order of |
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21:40 | . OK. Minutes. They, they're produced, they are translated and |
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21:44 | kind of go away. OK. . Um So they're not super |
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21:49 | So they don't hang around a So looking at, you know, |
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21:54 | , is there any real data on ? So I looked, and for |
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21:57 | one piece, I'll come back to . So one piece of data |
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22:01 | this is a bacterial plankton, which guessing is cyanobacteria population. They tested |
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22:07 | this and it's the same thing I've for like the numbers for E coli |
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22:11 | others pretty similar. So that actually genes of the genome uh proteins are |
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22:17 | most typically. OK. And so think I saw a number of like |
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22:23 | for E coli, it was like no, it was 1800 transcripts. |
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22:31 | ? That they've numbered and E coli about 4000 genes. So 4000 |
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22:37 | um uh 1800 transcripts and like over million proteins were quantitated. So, |
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22:45 | know, it's just interesting. Uh was, I was curious about that |
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22:49 | . So um anyway, but transcripts are transient, right? They're |
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22:54 | and they go away um because you actually want it that way because |
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23:01 | long as transcripts are intact, they be trans translated. OK? So |
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23:08 | still may not want that, So a device kind of is |
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23:12 | The transcripts go away after a If I need to make more, |
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23:16 | just express more. Ok. you know, it's all, it's |
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23:20 | controlled. Right. So, do need these transcripts? No, I |
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23:23 | , I'm not gonna make more, I have already will go away. |
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23:26 | right. So then I, I'll rid of making those proteins. |
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23:29 | So, um, the proteins once they're made, um, have |
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23:36 | longer lifetime, it, it varies type to type, they'll have a |
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23:40 | lifetime in the transcript for sure. even the cell can, can, |
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23:45 | degrade proteins uh that it wants to needed. Ok. But because you |
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23:52 | , the importance of proteins in the , obviously to do the work of |
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23:56 | cell, they, they're gonna be prevalent, right? And um uh |
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24:01 | the genome of course, is the that's always there, right? So |
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24:04 | not always expressing uh all the genes any given time, it's all about |
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24:09 | . But anyway, it's not that gonna test you on this. I |
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24:13 | thought it was interesting. And then , you know, uh but that's |
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24:18 | of why the data, that's why looks the way it does, |
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24:21 | So transcripts come and go kind of , uh protein is relatively more |
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24:25 | OK. So um organization. So talked about this also back in chapter |
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24:32 | , I think, kind of, know, the uh average car chromosome |
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24:39 | if you will, maybe it's around million base pairs OK. That translates |
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24:44 | around 5500, 3000 genes or that's kind of the average size. |
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24:49 | always gonna be some on the upper lower range. E CO I is |
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24:52 | , I think 4 million base Um The uh but then of |
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24:58 | in terms of genome, it's not the chromosomes. So remember, proc |
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25:02 | are haploid, right? One but you do have variants here and |
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25:07 | some actually and and again, not majority, there's a few that have |
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25:12 | in addition to that, they'll have linear some small linear chromosomes. So |
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25:15 | are some kind of outliers, but most, it's like one circular chromosome |
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25:21 | then maybe some plasma is associated with . OK. So plasmas are kind |
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25:26 | uh extra chromosomal elements uh much smaller size. Um And, and kind |
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25:33 | operate on their own. OK. uh the chromosome is tied to cell |
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25:40 | , right? So the chromosome replicates to cell division, OK. Plasmas |
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25:45 | of do their own thing. So not, they're not on that same |
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25:49 | to that same uh uh process of replicating prior to sell. OK. |
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25:55 | uh but we'll, we'll talk more plants here in a little bit. |
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26:00 | . So OK. So read this . This is one of those before |
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26:04 | afters, right? We're going to it again toward the end. |
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26:09 | Um It, it might look at questions so far. Question question. |
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26:17 | , good. OK. All So I'm gonna give me a few |
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26:21 | to read through this again. You're see it again. So we're not |
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26:30 | , once you answer it, well I can open this stupid |
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26:33 | Ok. Sorry. Here we Ok. Ok. Do. |
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27:32 | Mhm. Ok. Let's count down 10. Ok. 13. |
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27:47 | Let's see what we got here. a picture. Ok. All |
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27:53 | Um uh, I have, I a prep T A over in lab |
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28:01 | I have to answer his text. . OK. Uh Yes. |
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28:11 | Um Let's move on. We, gonna address all these things here as |
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28:16 | go forward. All right. Um we're gonna look at organization of prokaryote |
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28:23 | . OK? Um We're gonna look how the eukaryote looks only for comparative |
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28:30 | . They're not gonna be tested on gene organization. OK? We're gonna |
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28:36 | at it just as a comparison. right. So this term Cistron, |
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28:40 | an old name uh for gene, don't really see it that much |
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28:45 | but that's what that refers to. . So mono of course means one |
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28:51 | means multiple. OK. So there bacterial genes for sure that are organized |
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28:59 | one gene, one promoter. So , we haven't really talked about promoters |
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29:02 | . OK. So the structure of gene, no matter what life form |
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29:09 | is is um motor and then the gene being the, there'll be |
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29:17 | , there'll be a um coding part the gene, right? The essential |
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29:23 | preceding that is a promoter. The promoter is what guides the RN |
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29:28 | plys to the front of the They're essential. You can't, you |
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29:34 | have a gene without a promoter because the R A pli race won't even |
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29:39 | because the promoter has elements in it , that the uh RN A pli |
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29:44 | recognizes to put it right in front that coding information, right? Because |
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29:48 | obviously what you wanted to do. want to code the entire uh protein |
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29:54 | information. OK. So that's what the promoter are gonna be. Promoter |
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29:59 | part of the structure. OK. , yeah, one promoter of one |
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30:04 | , that's the mono Cytron, that's many uh pro genes can be that |
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30:09 | , but most are in this operon . OK? And that's where you |
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30:13 | one promoter and multiple genes associated with promoter. OK. So, um |
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30:21 | so we'll look at that. So , that's that, that's that opera |
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30:24 | . OK? Um Control is a part of it, obviously, |
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30:28 | And so we're gonna look first here you carry on genes. OK. |
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30:35 | , and some archaea have elements of as well. Uh But what's unique |
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30:41 | the eukaryotes is their Exxon intron So the gene and, and you |
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30:47 | out like you is has these express , exxons that are interspersed broken up |
|
|
30:56 | these intron sequences in between that you here. OK. So uh in |
|
|
31:03 | to that control elements, OK. Multiple control elements. So these involve |
|
|
31:10 | that bind and the binding promotes OK. So you have elements that |
|
|
31:16 | real close to the gene proximal and far away and by far away, |
|
|
31:21 | can be thousands of base pairs OK. And so that's what upstream |
|
|
31:26 | . Upstream always means in reference to gene you're talking about going toward |
|
|
31:34 | in this example, the uh right , OK. Uh downstream of course |
|
|
31:40 | passed beyond the gene. OK. so uh there's other sequences here, |
|
|
31:46 | was called a poly a sequence. This is transcribed into what we call |
|
|
31:51 | tail that is attached to the OK. Um The uh of |
|
|
31:57 | in the region where it terminates Uh So again, control elements and |
|
|
32:03 | of processing. So lots of RN processing occurs in eukaryotes. OK? |
|
|
32:09 | so the processing is necessary to produce transcript that, that has the introns |
|
|
32:16 | out. OK. So a translatable in eukaryote is only comprised of exxons |
|
|
32:25 | along with these elements of a called A tail. OK. And what's |
|
|
32:32 | a five prime cap. OK. so these elements, you have to |
|
|
32:37 | that transcriptions in the nucleus translations So the, the trans transcripts have |
|
|
32:45 | exit the nucleus. And so what them do that is having a cap |
|
|
32:49 | tail and that, that facilitates exit of the nucleus also, uh these |
|
|
32:55 | also affect um without them, they, they greatly enhance the stability |
|
|
33:02 | the transcript transcripts without a cap or , both rapidly are degraded. |
|
|
33:09 | The cap and tail need to be , not only for helping them get |
|
|
33:13 | of the nucleus, but also for them stable. And new periodic transcripts |
|
|
33:20 | comparison are much more stable than bacterial . E periodic transcripts can be, |
|
|
33:26 | , it varies, but the longest can last for days or months. |
|
|
33:30 | ? Until they're um till they go . So uh it depends. But |
|
|
33:36 | , so there's a lot of stuff on and you carry them basically, |
|
|
33:39 | ? In terms of transcription and OK. None of this do you |
|
|
33:45 | in bacterial, in a bacteria? . So um so in a |
|
|
33:52 | what we have is something like OK. So we've got, so |
|
|
33:57 | is gonna be the operon structure. again, some, you know, |
|
|
34:00 | , there are gonna be a number genes that have the uh one |
|
|
34:04 | one gene organization, but most are this operon structure, right? So |
|
|
34:10 | promoter and structural genes. So structural are the ones that uh basically are |
|
|
34:16 | the proteins that are being made. ? And so this one, in |
|
|
34:21 | example, we have three structural And um so what happens is uh |
|
|
34:30 | transcribe it as one continuous message. ? We call polycystic. OK. |
|
|
34:38 | this is all one continuous piece of A, OK. And so uh |
|
|
34:45 | , that then will be translated in this case, three different |
|
|
34:49 | OK. But this opera instruction structure that they're gonna code, they're, |
|
|
34:57 | gonna function as part of the same pathway. OK. So in this |
|
|
35:03 | , A B and C are enzymes catalyze this pathway here, W to |
|
|
35:09 | to Y to Z, OK. so uh very common in bacteria or |
|
|
35:17 | uh to organize their genes this right? Because now you can control |
|
|
35:21 | whole sect at one time. And that makes it a very efficient |
|
|
35:28 | . OK. We're gonna look at of these. One of them |
|
|
35:32 | is um how to sell will take we'll take lactose which you may have |
|
|
35:43 | lactose o on as well. two glucose and lactose. That's, |
|
|
35:52 | the lac opera. OK. So a cat pathway. It breaks down |
|
|
35:57 | , the products of that break down into glucose and lactose that can go |
|
|
36:01 | into like Colly and et cetera, ? That's one, the other one |
|
|
36:06 | one where we have a um uh called OK, Charis mic don't write |
|
|
36:16 | down. OK. Acid. And there's multiple pathways to get to um |
|
|
36:24 | the fan. OK. And so ruin the right trip to Japan. |
|
|
36:31 | . Uh OK. So to K , OK. So that's, and |
|
|
36:38 | mean it lasted, that's a anabolic . We're making it so that to |
|
|
36:43 | of set that in your brain. , right? Lactose opera is about |
|
|
36:46 | down lactose to get energy anabolic, tryptophan opera, which we'll look at |
|
|
36:52 | the opposite. It's anabolic, it's making crypto fan. OK? So |
|
|
36:57 | point here is that now you can that whole pathway in one shot. |
|
|
37:04 | . So again, makes for a efficient um system. OK? |
|
|
37:09 | um the OPERON itself, as you there is promoter operator, structural |
|
|
37:18 | That's, that's the OPERON. So what is the, the operator |
|
|
37:22 | for is a regulatory element? It in regulation of the process. And |
|
|
37:28 | how that happens is there will be regulatory protein uh somewhere upstream could be |
|
|
37:36 | away and the regulatory protein itself interacts the OPERON. OK. Operator, |
|
|
37:43 | . And uh the binding basically is physical block to transcription. OK. |
|
|
37:50 | it's what we call a transcriptional control . OK. We're basically, we're |
|
|
37:55 | allowing transcription to occur. OK? so the elements of how the trip |
|
|
38:02 | operon and lactose operon work is really what conditions bring that about. |
|
|
38:11 | And in lacto sauron, they're basically opposite in terms of what, what |
|
|
38:17 | that repressor. OK. And stops . So again, we'll look at |
|
|
38:20 | later. But um that's a very mechanism in uh proios. OK. |
|
|
38:28 | Now, uh among others, so again, all levels of expression can |
|
|
38:33 | controlled, but this is a very one. OK. And so the |
|
|
38:39 | for any questions about that for OK. So um OK. So |
|
|
38:46 | Regulon, so you've got the, the Regulon level is a, it's |
|
|
38:52 | step above opera. OK. So basically controlling multiple OPERON at one |
|
|
39:00 | OK. And an example of this we'll see an example of this in |
|
|
39:05 | nine in transformation and in uh there's uh in biofilm formation, this |
|
|
39:14 | OK. Um Where an example here about the control of I'll get back |
|
|
39:22 | that control of nitrogen in the right? So think of the different |
|
|
39:28 | uh a nitrogen source that a cell in can be used for what |
|
|
39:34 | Right. Well, you have an in amino acid. So for immi |
|
|
39:38 | synthesis, you have nitrogen in uh . So it's funneled into that. |
|
|
39:45 | you have um maybe just uh in for uh there's other connect containing molecules |
|
|
39:54 | the cell as well it's used So, you know, so it |
|
|
39:57 | different uses, right? So obviously important nutrient. So when it comes |
|
|
40:03 | different pathways may, may need it may not. So a way to |
|
|
40:08 | all that is through a Regulon. . So in that, then there's |
|
|
40:14 | be something common that all those operon are in that Regulon will respond |
|
|
40:21 | right? And that's what the Sigma is about, right? And so |
|
|
40:25 | talk about that toward the end, the sigma factor is what recognizes |
|
|
40:31 | OK? It works with RN A as you see here bottom. So |
|
|
40:37 | single factor works with RN A PLY bring it to the promote, |
|
|
40:41 | in front to the promoter, which in front of the coding part of |
|
|
40:45 | gene. OK? And so since this example, you see there are |
|
|
40:53 | well, they're showing you two, , yeah, two OPERON here, |
|
|
40:58 | ? And they're both controlled by that Sigma factor that affects both those |
|
|
41:04 | OK. So it can be more two opera, right? So however |
|
|
41:09 | are involved in the Regulon will tho those promoters will each respond to |
|
|
41:14 | same signal factor. OK. That's you can control the, these, |
|
|
41:20 | different operas involved in this kind of um process. OK. This example |
|
|
41:29 | nitrogen regulation. OK. So um Regulon um enable that to happen to |
|
|
41:36 | control of these different OPERON. Um Is there any questions about that |
|
|
41:44 | ? Yeah, proteins factors are, uh yes, yes. Um |
|
|
41:56 | So the S factor will, is , is a, can be a |
|
|
42:00 | controlling factor. Yes, but basically it is, it's for transcription, |
|
|
42:06 | the cell can also use it. Typically pro carrots have maybe 8 to |
|
|
42:14 | different Sigma factors. OK? And one, a general one that kind |
|
|
42:19 | is used for most of the genes the, in the cell, like |
|
|
42:23 | um uh DNA application and other things that. But then they have a |
|
|
42:28 | of others that are involved in specific of functions like this like to control |
|
|
42:35 | I think, I think moving a also involves a Regulon different operon. |
|
|
42:40 | different processes, the kind of do that way. So, so |
|
|
42:45 | one thing to think you may And E coli has 3000 genes, |
|
|
42:49 | that mean it has 3000 sigma No, it has, like I |
|
|
42:53 | , maybe 10 to 12 that work on these common promoters. OK? |
|
|
43:00 | yeah, go ahead. Um So factor uh something that isn't necessarily an |
|
|
43:11 | . Yeah, I would say um would say, I don't know if |
|
|
43:17 | protein is the right word. I say that by the fact that it's |
|
|
43:23 | to rec can recognize common promoters. ? Number one, the second factor |
|
|
43:29 | necessary to get transcription. OK? you might say the control factor comes |
|
|
43:36 | based, I would say more a factor may be a better word. |
|
|
43:41 | ? Because um the, the um if you like the, the example |
|
|
43:48 | the operator and something binding to it blocking transcription, the single factor is |
|
|
43:53 | gonna be able to do anything about . OK? That, that gets |
|
|
43:56 | in other ways. But the, the fact that they can coordinate with |
|
|
44:01 | promoters. So maybe think that as coordinating factor may be a better way |
|
|
44:06 | look at it. I think that sense. OK. OK. All |
|
|
44:11 | . Um But you have a OK. So uh let's look at |
|
|
44:17 | question. So we'll talk about plasmas . OK. OK. Um Oh |
|
|
45:07 | . Let's count out 10. Let's see what we got. |
|
|
45:27 | it's, it's c for sure. . Um So we'll look at plains |
|
|
45:34 | . So plains um as I mentioned , kind of their own, we |
|
|
45:40 | autonomous means kind of, they kind do their, their own thing. |
|
|
45:45 | . So uh since we discovered these uh 50 years ago or so, |
|
|
45:54 | we've since taken them into lab and constructed them for our own purposes, |
|
|
46:00 | our own plasmas. Uh I'm sure know, plasmas are one of those |
|
|
46:05 | that are in the gene gene, cloning, prominent DNA, right plas |
|
|
46:11 | essential to that. And so elements a plasmid. Um So what you |
|
|
46:16 | here is, is, is basically artificial plasmid but based on, based |
|
|
46:21 | a, an actual plasmid. Uh these things here refer to restriction |
|
|
46:28 | These are kind of the scissors that DNA, right at the, at |
|
|
46:32 | sites, you can open it and can insert DNA S uh fragments into |
|
|
46:39 | . Uh The gene cloning thing, ? Um Here you see this refers |
|
|
46:44 | antibiotic resistance, ampicillin tetracycline. Um So the plasma contains the genes |
|
|
46:53 | the cell has this plasma, it's to ampicillin or Tracy. Uh There's |
|
|
46:59 | origin of replication. That's what makes plasma autonomous, it has its own |
|
|
47:04 | replication. So it's not tied to division. Uh in order to replicate |
|
|
47:10 | can do it on its own and can have multiple origins of replication for |
|
|
47:15 | functions. OK. Um So copy , we'll talk about that. That's |
|
|
47:22 | in the context of how a cell hold on to a plain. |
|
|
47:28 | So it can be in high, be like uh 50 copies per |
|
|
47:33 | Low is basically 11 or two. . Um We especially see this in |
|
|
47:40 | nine, but the plasma can integrate the chromosome. OK. Uh Transferable |
|
|
47:47 | is where they're transferred. OK. different classes of plasmids. So the |
|
|
47:54 | to go from one cell to another is really through these types. |
|
|
48:00 | So we call an F factor class has the parts to enable conjugation. |
|
|
48:08 | . Now, these other features are , this resistance to antibiotics, heic |
|
|
48:15 | . So we a common one, might be back in 13, we |
|
|
48:20 | about um chapter 13 about aromatic This is the kind of things that |
|
|
48:25 | would see in a class is one those among others. OK. So |
|
|
48:31 | but you know an an F fact can combine so an F factor can |
|
|
48:36 | that or that, right? Having F factors is what makes it |
|
|
48:41 | it'll transfer. OK. So an factor can certainly contain an R |
|
|
48:48 | right? It can contain uh antibiotic . OK. So we'll talk more |
|
|
48:53 | that in chapter nine. But um in terms of replication, OK. |
|
|
49:00 | we're familiar with the usual um That's, that's how our, that's |
|
|
49:07 | the strand separation and, and then from each fork, right? And |
|
|
49:16 | your two daughter chromosomes. So um plasmas uh can do that, |
|
|
49:25 | But then they may have another ori them that allows for rolling circle |
|
|
49:32 | OK. So what that is is create a Nick, this is the |
|
|
49:37 | rep for replicate A I think what it does is it creates a |
|
|
49:43 | . And Nick basically means we are that kool aid bond in that um |
|
|
49:50 | structure. So remember uh you know three or five prime ends, |
|
|
49:53 | Three prime hydroxyl, five prime And so when we expose that, |
|
|
49:58 | you recall how DNA Climara works, looks for that three prime hydroxyl and |
|
|
50:05 | extends from it. OK? And from it using the, using the |
|
|
50:12 | this example, the inner strand is template, right? So it just |
|
|
50:16 | lines up right. Here's an I'm gonna put A T, here's |
|
|
50:20 | T I put an A and G blah blah blah, right? Complimentary |
|
|
50:23 | . And so as it continues along that inner strand, this example, |
|
|
50:31 | outer one is being displaced, being off, OK, as you see |
|
|
50:37 | . And so that can then be All right. So here's this. |
|
|
50:43 | here's now our this has been right? We're done here, this |
|
|
50:49 | one, the displaced strand and then be uh copied, right? So |
|
|
50:56 | primers, if you remember that you put a primer on there, |
|
|
51:00 | it extends the extends from that to it. So we end up with |
|
|
51:06 | two copies. OK. Now the circle application, we see that in |
|
|
51:15 | , it doesn't always have to only to happen in conjugation. But it |
|
|
51:21 | when, if a cell can do , that's when you see it as |
|
|
51:23 | . OK. And so where you'll it is so picture of these two |
|
|
51:28 | are cells. OK? So in , two cells come together and one |
|
|
51:35 | that, that plasma. OK? it's the rolling circle mechanism is where |
|
|
51:41 | see see that how, how it , right? So the the displayed |
|
|
51:46 | is shoved into the other cell. ? And so um uh and then |
|
|
51:54 | course, ends up copying that. we have a copy in each |
|
|
51:58 | So that's we'll get into the details that next time. But um that's |
|
|
52:02 | involved in conjugation. OK? Um questions about that. Yeah. |
|
|
52:10 | So inheritance. So number one plasmids not carry essential genes. So you |
|
|
52:21 | see a plasmid that has like the to uh like DNA polymerase on there |
|
|
52:28 | , to replicate DNA or, or for like ribosomes or, or you |
|
|
52:34 | , essential genes, right? Um things you see on there are things |
|
|
52:41 | antibiotic resistance, um uh other I mean, essential is kind of |
|
|
52:51 | , right? So it could be depending on if it's in the environment |
|
|
52:57 | having it ensures its survival, So, you know, because the |
|
|
53:06 | thing to remember again, goes back this thing about wasting energy and don't |
|
|
53:11 | things that waste energy is to have plasma and have it replicate, that's |
|
|
53:17 | energy from the cell as well that has. OK. So um especially |
|
|
53:23 | it's a high copy number class, that's a lot of energy to, |
|
|
53:28 | , to keep using, to maintain these plats. OK? Keep copying |
|
|
53:33 | , right? So you know, to hold on to a plans, |
|
|
53:38 | a decision, so to speak. ? That um you know, if |
|
|
53:43 | not being, if the genes on aren't being expressed, then it's likely |
|
|
53:47 | be lost. OK? At some . OK? Because it's just wasting |
|
|
53:51 | for the cell not benefiting it And so, you know, it's |
|
|
53:57 | eventually. OK. So um so how is it maintain? Well, |
|
|
54:03 | can, you can um insert can insert into the chromosome, |
|
|
54:08 | That's, that's one way to kind ensure it's it's uh retained. |
|
|
54:14 | And so think of antibiotic resistance, ? So here's kind of a really |
|
|
54:19 | example. OK. So, so selective pressure, right? Providing the |
|
|
54:25 | to force it to keep it, to speak. Ok. So how |
|
|
54:29 | you do that? Well, here E coli with a tetracycline resistance |
|
|
54:34 | OK. Here's one without, so means sensitive, sensitive to it. |
|
|
54:40 | the, if you grow it on with tetracycline, OK. Well, |
|
|
54:45 | course, it'll grow, it has resistance gene. OK. So that |
|
|
54:50 | is providing the selective pressure to keep , of course. Right. If |
|
|
54:54 | doesn't, it's not gonna live. ? But if it's uh sensitive, |
|
|
55:00 | course, it can't survive on their . OK? And, and the |
|
|
55:08 | the uh um uh without citrusy, you just grow in a medium without |
|
|
55:14 | , OK. The sensitive sensitive one course can grow. There's no nothing |
|
|
55:19 | it. Uh But the resistant one that grow on without citrusy course, |
|
|
55:26 | ? There's nothing inhibiting it. But thing is if you, if you |
|
|
55:29 | to maintain this resistant strain on a without tetracycline after several transfers, |
|
|
55:40 | It will go away, the plan just disappear. So you don't see |
|
|
55:43 | anymore. OK. So um so the thing, the selective pressure maintaining |
|
|
55:50 | obviously will ensure that it will um on. OK. But again, |
|
|
55:56 | a, it's a, it's, a we call it the business cost |
|
|
56:01 | benefit analysis, right? So is selective pressure there? That's the incentive |
|
|
56:06 | keep it. Is it not Well, maybe not? OK. |
|
|
56:11 | again, the, the loss of plant from a population isn't something that |
|
|
56:16 | happens in one generation, right? it, it can, it, |
|
|
56:21 | , it'll take several generations, but can certainly happen. Ok. |
|
|
56:25 | so the high copy, low OK. So one way to ensure |
|
|
56:33 | held on through successive generations is to have a lot of it in the |
|
|
56:38 | , right? So simply just by , you know, cell division, |
|
|
56:42 | it divides. So or like, , you know, pretty good chance |
|
|
56:47 | whatever plane it divides in it's gonna at least one on either side, |
|
|
56:53 | ? Uh So um that's a way ensure that it gets passed on. |
|
|
56:58 | . But again, that's, that's , that's kind of a price to |
|
|
57:02 | for having all these plats and using that energy to do it. So |
|
|
57:07 | , it, it's, it, depends, OK. So the um |
|
|
57:16 | low copy number. So for there can be looks kind of like |
|
|
57:21 | quasi mitotic spindle if you will. not that, but it kind of |
|
|
57:27 | resembles that. So, bacteria that these what are called par proteins that's |
|
|
57:33 | short for partitioning. OK. That um uh I I don't go into |
|
|
57:39 | whole mechanism here. There's multiple proteins , but the net result is that |
|
|
57:46 | these par proteins attached to the OK. And then begin to |
|
|
57:52 | And as they do, they basically each copy to opposite poles of the |
|
|
57:59 | . OK. So that ensures that it divides that each one now is |
|
|
58:06 | a copy of that plasma. So that's, that's something you see |
|
|
58:10 | cells with low copy number. And um it ensures, obviously that |
|
|
58:17 | occurs and each cell gets a copy that. OK. Um Of |
|
|
58:23 | that ensures um patches uh patches of plasma to the next generation. |
|
|
58:30 | Um Now, let's see. So any questions about that selective, |
|
|
58:39 | is this idea of selective pressure, ? Putting the the environmental condition there |
|
|
58:45 | um enhance the that the cells will that plan, whatever whatever kind of |
|
|
58:52 | it's carrying. OK. Um So our keto genomes, um there's |
|
|
59:03 | stuff that's different with bacterial types. the main, obviously, they are |
|
|
59:09 | , you know, don't I tend always when talking about prokaryotes, just |
|
|
59:14 | the word bacterial or bacteria, bacterial or that. Uh Of course, |
|
|
59:20 | including archaea in that I don't usually not explicit enough, but um you |
|
|
59:25 | , Procar so they, they, , of course, are prokaryotes, |
|
|
59:28 | ? They have a uh they lack nucleus, they have one chromosome. |
|
|
59:32 | . And so um and so what do have uh that's a little bit |
|
|
59:38 | is multiple AIS. OK? In chromosome, right? So, bacteria |
|
|
59:45 | have that they have one AI in chromosome. OK. And so a |
|
|
59:51 | can have multiple, that's just like , we have linear chromosomes. Of |
|
|
59:54 | , we have multiple origins. Um they do like rea, I |
|
|
60:01 | , sorry, like bacteria, they mostly protein coding genes. I mentioned |
|
|
60:07 | before. So the purple, you are no, is non coding |
|
|
60:13 | right? So you see in you carry out it's mostly purple. |
|
|
60:18 | . Um Green would be coding So not, not a lot. |
|
|
60:23 | ? Whereas up here on the top a prokaryote genome. Um lots of |
|
|
60:29 | , of course. Right? Because mostly protein coding. But remember um |
|
|
60:34 | know, there's a, a small of genes code for RNAs, |
|
|
60:39 | That's, that's the end product. always remember, kind of, |
|
|
60:42 | multi protein coding, but sometimes for genes, the end product is an |
|
|
60:46 | A molecule. OK. Um And that and uh DNA replication components. |
|
|
60:55 | things like uh DNA pli uh in , these have more similarities to periodic |
|
|
61:03 | DNA plier than bacterial uh in gene . Uh There are other elements there |
|
|
61:10 | arch are more similar to eukaryote than . OK? Like ribosome structure and |
|
|
61:16 | . But um anyway, so there's , there's certainly some similarities to eukaryotes |
|
|
61:21 | their genomes too. OK. Um right. All right. So the |
|
|
61:29 | part about eight I'm really going into on R ply race structure, specifically |
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61:35 | Sigma factor uh structure. OK. uh a proc curia on a pli |
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61:44 | have um parts that bind. Uh the sigma factor is the binding part |
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61:50 | the molecule. It recognizes the promoter um of course, kind of like |
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61:56 | puts it in front of the coding of the gene. OK. Um |
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62:03 | beta and gamma, I'm sorry, and alpha sub units to summarize are |
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62:08 | in kind of the synthesis of the . OK. And so uh there's |
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62:15 | promoters have um specific elements to OK. Um We'll see an example |
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62:23 | a couple different kinds but uh the 10 minus 35 is very common. |
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62:30 | . In bacterial promoters and the uh factor. And so the S factor |
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62:36 | not a, is not a permanent of the ply race. Signal factors |
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62:41 | on and come off. OK. they guide, they're part of this |
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62:47 | of the protein uh when they first to find, find the uh regions |
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62:54 | bind to. And so they bind elements of the minus 35 minus |
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62:58 | So that refers to 35 and 10 upstream from the start of the transcription |
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63:07 | . OK. And so uh the factor is here. So it binds |
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63:13 | then kind of starts looking for where's the, where is the uh |
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63:18 | , these minus 35 minus 10. then that's where it will initiate transcription |
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63:24 | the Sigma factor falls off. But it's free to bind another, |
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63:29 | prelimerase. OK. So, um so that's basically how we initiate |
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63:36 | OK. The uh OK. So terms of, of looking at multiple |
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63:42 | these promoters, right. So a sequence is a sequence that's common to |
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63:48 | of these promoters. OK. And , Sigma 70 is probably the most |
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63:54 | Sigma factor in the uh cell. . So it recognizes these particular |
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64:01 | And so these regions are, are to be a atat rich. |
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64:11 | Specifically, because if you recall DNA , um GC base pairs have three |
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64:19 | bonds. A TS have two. there's less energy to pull apart a |
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64:24 | that's rich in A TS. And why promoters tend to be that way |
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64:28 | that's where recognition and then shortly uh separation occurs. OK. So, |
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64:36 | and so here you see in multiple minus yellow minus 35 minus 10, |
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64:44 | the transcription start plus one. And so they have these common sequences |
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64:49 | these two positions. OK. And you could, you know, uh |
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64:55 | of the things you do, especially you're in biotech is to, if |
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64:59 | want to uh affect expression of the is to fiddle with the promoter. |
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65:06 | . Um So, a, a uh mutations, these are represent mutations |
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65:13 | these pink positions here. The T C so changing the base there |
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65:18 | to an A and A actually is down mutation means it means less |
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65:23 | One that's up is one that increases . OK. And so, um |
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65:32 | , uh and so that's a course interest, you know, if you |
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65:34 | a, a protein, you discovered it's, it's gonna be the next |
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65:38 | that's gonna make you a million right? Uh You need to make |
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65:42 | of it, right? So you a combination of growing lots of |
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65:46 | then you can also on top of uh increased expression of that gene as |
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65:52 | . So both of those can are done and this is one way |
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65:55 | do it is to find a promoter fill it with it. See if |
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65:59 | get increased expression and and boom, can get where you need to get |
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66:05 | . OK. Um Now, as said before, so promoter strength, |
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66:11 | I'm gonna talk about that on the slide. So just hang on to |
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66:14 | for a second. And so what really means means is the level of |
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66:18 | , high or low, right? so uh not all genes you might |
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66:23 | , well, all promoters must be , right? You wanna express things |
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66:26 | at high levels. Well, you don't, right. So remember |
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66:30 | metabolism, right? Uh in a , the the product of one pathway |
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66:38 | be the reactive for the next one so on and so forth, you |
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66:41 | , it can all be connected, ? And so the levels may may |
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66:45 | all need to be high, some high, some are low to kind |
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66:49 | coordinate the process, right? So so on purpose, some protein promoters |
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66:58 | not so strong, they kind of with other promoters, right? For |
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67:04 | expression. OK. Um Nevertheless, . So the, the, as |
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67:11 | said before, you know, bacterium on average 3000 genes, but you |
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67:16 | have 3000 sign factors, right? have a handful. OK? |
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67:21 | the most common one being that Sigma . OK? Um But you do |
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67:26 | others. So these are just examples you don't need to, you don't |
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67:28 | to memorize this table. OK? just showing examples of other types of |
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67:34 | factor. So here's one we talked nitrogen regulation, right, in the |
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67:39 | of a Regulon earlier. So here's specific SA factor for, for those |
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67:46 | in that Regulon, OK? They this one. OK? And here |
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67:50 | for uh promotility chemotaxis that has a uh sigma factor. So again, |
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67:57 | must also these must, that must be a type of Regulon as the |
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68:01 | is involved in there, respond to particular sigma factor, right? So |
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68:06 | an example. And so you also that although many of these are also |
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68:11 | 35 minus 10 that they recognize in promoter, the one for nitrogen control |
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68:16 | recognizes a minus 24 minus 12. that's one that's a little bit |
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68:21 | OK? So again, it kind set it sets it apart from these |
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68:26 | types. OK? So again, know, that's what that's uh 12345 |
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68:32 | factors and that one's at six, ? And that's enough enough to kind |
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68:37 | do what it needs to do. . Um uh OK. So what |
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68:44 | strength and expression? OK. So we're going to see this when we |
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68:48 | into regulation that there's um what we a basal level of expression. |
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68:54 | So again, right, just basic , right? Orli sigma factor bind |
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68:59 | a promoter and we have transcription, ? And so that can just what |
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69:05 | see there, just those parts alone you what's called basal expression, which |
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69:11 | basically means kind of low level OK? Um I mean, very |
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69:17 | level, OK. In order to this ramped up, you typically involve |
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69:24 | things. OK? So not just going to promoter, but things like |
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69:33 | , transcriptional uh factors, transcription I'm sorry, uh these parts all |
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69:40 | in. OK? And so there's example of those types of elements and |
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69:47 | bind at the promoter and in doing , basically enhancing an end in, |
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69:54 | um uh and especially in new periodic and maybe in some bacterial systems, |
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70:02 | you'll, you'll involve like here's the , it too will kind of loop |
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70:08 | and bind at the promoter as right, in response to these other |
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70:13 | . And so this then creates this here, you circle it, |
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70:21 | this right here is all happening at promoter and that, that now creates |
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70:25 | site of high affinity for that It's like really it sticks to it |
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70:32 | . OK? And the more it do that, the more expression you |
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70:36 | , right, the binding is really affinity binding. Then you're really attracting |
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70:42 | clime to that site and you of course, lots of oops, |
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70:47 | of transcription, right? You have of transcription that way versus here where |
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70:52 | kind of not so high affinity, get a little bit of binding and |
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70:57 | , but this greatly enhances how much could be as much as a million |
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71:03 | higher. OK? Expression, This could translate to maybe you |
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71:08 | 1 to 3 copies, right? can be a million copies, |
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71:14 | And it can happen, oops three off of there, it can and |
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71:19 | happens almost like that very quickly, ? Bacteria can ramp it up, |
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71:24 | ? But again, it all depends , on the environment, what's out |
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71:29 | , what's, what's, what's because things, these these factors are gonna |
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71:33 | triggered to be produced, you by different types of conditions. And |
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71:40 | but if it does, if it occur, then you can very quickly |
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71:43 | up expression super quick. OK. We see that in the lactose |
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71:49 | OK? You can go from almost like one or two copies to a |
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71:54 | , you know, under the right . OK. And so uh |
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71:58 | it's about enhancing that promoter. What we do to make that ply really |
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72:04 | it, all right, and bind express, right? Any questions about |
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72:10 | . OK. So I mean, in your own body, you |
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72:14 | uh a lot of the things you um make cells do different things like |
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72:21 | , growths, factors sold around your are basically have, have that function |
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72:28 | as activators of expression, right? uh so that's what, that's how |
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72:33 | cells respond uh to hormones and things that is getting into, to try |
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72:39 | of different genes. OK. So any questions about that expression? |
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72:48 | So um let's, this is just of a hold on. Let me |
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72:54 | see something here real quick. Uh . You know what? This actually |
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73:01 | a good fight to start. Next . It's kind of a summary. |
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73:04 | uh wins five points on your exam . It's on record. It's on |
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73:10 | tape and I win, I take points away. OK. Can I |
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73:24 | bribery? Yeah. Yeah. Yeah. Here you see it from |
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73:41 | am RN A but then like some the, I would say you can |
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73:47 | get Mrnarn A. Uh Well, , the MRN A is the plus |
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73:55 | . Oh, but it can come a minus. Yes. Yes. |
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73:59 | minus what? It can only come a minus. OK. Oh, |
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74:05 | it can only. OK. I mean, you can have a |
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74:08 | RN A virus in facts. And who wants to make more copies |
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74:12 | that, of its plus genome? gonna have to first make a minus |
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74:15 | and then copy it. Right. . Yeah. Sorry. Uh, |
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74:28 | , uh, yeah, you can tonight, uh, usually after seven |
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74:32 | is when the kind of reshuffles things during the day and so seats typically |
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74:38 | up. So check after seven Yeah. Uh, Monday or Wednesday |
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74:46 | 30 to 12 30. Yeah. , no, I'm, I'm out |
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74:53 | the process. That's all on So, yeah. Oh, you |
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74:57 | for? Oh, yeah. Yeah. Yeah. Yeah. |
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74:59 | You can just stop by, stop , uh, you can do a |
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75:02 | if you want but you can just by just first come first serve. |
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75:13 | . Yeah. Yeah. Yeah. . Yeah, I know. 1 |
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75:15 | . 0, just come over to office. So I'll see you over |
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75:18 | in a little bit. Yeah. a few minutes. Yeah. |
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