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  • [ Silence ]

  • >> Okay, welcome back.

  • Quick sound check.

  • Everything okay?

  • Great, thank you.

  • Welcome back.

  • Today, we're going to be finishing up the topic

  • that we were talking about last time.

  • Last time, we were talking about combinatorial approaches

  • in chemistry and then we'll talk a little bit more

  • about combinatorial approaches in biology.

  • And I'll show you a couple of examples of this.

  • All right.

  • Okay, that's interesting.

  • All right.

  • Okay, so again we're here.

  • We just completed our survey of biomolecules.

  • I'm going to complete the topic of making combinations

  • of biomolecules and then we'll talk

  • about tools for chemical biology.

  • And this is really important because these are the tools

  • that you're going to be using when you write your proposals.

  • So I'm glad you're all here today

  • because you absolutely need to hear this to be able

  • to write a good chemical biology proposal which recall last time,

  • I told you was going to substitute

  • for the final exam in this class.

  • There is no final exam in this class.

  • We will not have a final.

  • Instead on the very last day of class,

  • you will hand me a 10-page or so proposal, a written proposal

  • with figures and it'll be an original idea,

  • something that no one in the planet has thought of before.

  • You will be the first.

  • And it's going to be really fun because it's really great

  • to come up with creative ideas

  • and that's really the ultimate goal of science.

  • Science is really a creative enterprise.

  • Our goals are to invent new concepts,

  • to tell people new visions of the universe and to do this;

  • we have to somehow invent these new experiments to do.

  • Okay, so I'm going to be talking to you today about the tools

  • in your toolkit that you're going to be using

  • to do this assignment.

  • Okay, I already talked about these announcements.

  • I'm skipping some stuff.

  • Oh, office hours.

  • I had office hours yesterday that got derailed

  • by a student emergency and I know at least one

  • of you sent me an email about that.

  • I apologize.

  • I will have office hours today and in addition,

  • I sent an email back to that student.

  • So I apologize if you came by yesterday.

  • There was a student health emergency

  • that absolutely needed my attention and so I had

  • to close my door to deal with that.

  • Okay, so apologies there.

  • Other office hours, tomorrow, Mariam will have her office hour

  • on Friday and I'm hoping Kritika will be back next week

  • and I'll introduce you to her

  • and she'll have office hours next Tuesday.

  • Okay, so all right, any questions about any

  • of the announcements, things like that,

  • things that we talked about last time?

  • Questions about the course structure?

  • Oh, I got an email from someone

  • and I apologize for not replying.

  • The email was, "When are you going to post online the slides

  • that I'm flicking through?"

  • And the answer is I'm going to try to get to that today.

  • And then my plan is to basically post all of my slides

  • from the previous year and so that way,

  • then at least you'll have a guideline

  • for what the slides will look like.

  • Chances are, I'll heavily modify these

  • or slightly modify these depending

  • on how much time I have before each lecture.

  • I mean, literally five minutes before the lecture,

  • I was making changes to the slides.

  • It's almost impossible to stop me from doing that.

  • I just love this too much.

  • So because of that, I'll be posting kind of a guideline

  • for what the slides will look like in advance.

  • And then I'll come back

  • with something that's more definitive.

  • Okay, so at the end of today's lecture, then I'll post all

  • of the week one slides in a definitive way

  • but I'm also going to post last year's week two,

  • week three, week four, et cetera.

  • Okay, sound good?

  • Okay, any questions about that?

  • Okay, great.

  • Okay so let me review what we talked about last time.

  • If there are no questions about any announcements or things

  • like that, we're going to go straight into the material.

  • Okay, good.

  • So what we talked about last time was the definition

  • of chemical biology.

  • Chemical biology uses techniques from chemistry,

  • often new techniques from chemistry, often techniques

  • that had been invented specifically to answer problems

  • of biology but not always.

  • And then these techniques from chemistry are used

  • to address understanding biological systems

  • at the level of atoms and bonds.

  • That's the goal of chemical biology,

  • to really understand how organisms are living,

  • how they do the things they do at the level of atoms and bonds.

  • Okay, so I'm really fascinated to know

  • about that hydroxide functional grid

  • that donates a key hydrogen bond or provides a key Bronsted acid

  • to some mechanism in an enzyme-active site.

  • That's the part that makes run to work,

  • the sort of the details of this.

  • I basically want to use the arrow pushing that you learned

  • in sophomore organic chemistry to explain biology

  • and that's the goal of this class

  • and that's the definition of chemical biology.

  • So last time, we learned about two key principles

  • that organized biology.

  • The first of these is essential dogma which provides the roadmap

  • for all biosynthesis taking place inside the cell.

  • Everything that the cell has to synthesize will flow

  • through this central dogma.

  • This is the flow of information for biosynthesis by the cell.

  • So everything that your cells will synthesize is going

  • to be encoded in some way by the DNA inside your cells.

  • Oh, and can I ask you if you have an empty seat next to you

  • to move over to the right just to open

  • up some seats on the edges.

  • Some people I know are coming in from other classes so you know,

  • so other classes that are ending

  • about when our class is starting.

  • So if you have an empty seat on your right,

  • if you can just scooch over and leave seats on the edge,

  • that would be really appreciated.

  • Okay, thank you.

  • Okay, so the second key principle

  • that we discussed was evolution.

  • Evolution provides a principle

  • that helps us organize vast amounts of knowledge and really

  • in the end simplifies biology enormously.

  • And it's actually a principle that all of you are going

  • to be applying when you design your chemical

  • biology experiments.

  • Because I will tell you in advance

  • that I will not accept any proposals

  • that involve experiments on humans, okay?

  • So experimenting on humans has its own special topic

  • that I can actually teach a whole quarter on.

  • Okay, it requires ethical considerations.

  • It requires tremendous design considerations.

  • It's not nontrivial to sample, for example,

  • a diverse population of humans and ensure

  • that you're getting diversity.

  • So all of those considerations are beyond the realm

  • of this class.

  • So instead, what I'm going to ask you to do is experiment

  • on non-human organisms.

  • You might for example choose cells from humans

  • or you might choose model organisms.

  • And by choosing those model organisms,

  • you're applying a key principle from evolution which is

  • that that model organism descended

  • from some common ancestor that we share and in doing so,

  • acquired the same mechanisms that govern its chemistry

  • and its chemical biology.

  • And so that means, if we learn something

  • about this model organism, we can then apply that knowledge

  • to understanding how humans work.

  • Now naturally, there's limits to this, right?

  • If your model organism is a salamander and you're interested

  • in understanding how the salamander regenerates its arms

  • when you cut them off,

  • which incidentally would be an absolutely fascinating topic

  • for a proposal, right?

  • There's a limit to how much analogy you can do back

  • to humans, right?

  • We humans don't have that same mechanism obviously

  • and it would be absolutely fascinating for me to learn

  • from you how it is that you plan to apply the biochemistry

  • that you are learning about stem cell growth

  • to develop say limb regeneration in humans.

  • I would love to learn that.

  • Okay, so evolution is important to us because it tells us

  • that fundamental processes are more or less the same

  • for every organism on the planet.

  • And I'll be showing you a few examples in the next few weeks

  • that illustrate this universality

  • of chemical mechanisms.

  • In addition, we also saw that evolution is really a tool

  • by which we can evolve molecules to do powerful stuff

  • for us inside the laboratory and I want to pick

  • that topic up for us today.

  • Okay, so I'm going to start there.

  • Any questions about anything that we saw on Tuesday?

  • Okay, now I also got some really fascinating emails

  • from some virologist in the audience who pointed

  • out there's actually the coronavirus protein

  • that is known to start with an RNA template

  • and then replicate RNA and that's absolutely fascinating.

  • I wasn't aware of that.

  • So there are exceptions to what I'm teaching you.

  • I'm going to try to teach you the sort of most general thing

  • and yes, there will be exceptions.

  • Don't hesitate to point them out to me.

  • I'm fascinated by those exceptions too.

  • Okay, so let's pick up where -- okay, before we do, last thought

  • about this proposal assignment.

  • To do the proposal successfully, what you have to do is you have

  • to come up with a novel idea, okay.

  • I will not accept any proposals

  • that don't have something new in them, okay?

  • And I will actually ask the TA's to do Google searches

  • and literature searches in PubMed and other sources

  • to verify that what you're proposing

  • to do has not been done before, okay?

  • So you have to come up with a creative new idea.

  • This sounds daunting but let me provide some guidelines

  • on how to do this, okay.

  • So the first thing that you need are a series

  • of experimental tools and then knowledge of the problem.

  • Okay, so experimental tools, I'm going to provide to you today.

  • I'm going to give you a toolkit by which you can go out

  • and start to address problems in chemical biology.

  • The second portion, knowledge of the problem.

  • You need to know that actually, you know, there's a key step

  • in limb regeneration that's not so well understood.

  • That second step comes from reading the literature, okay?

  • And the first assignment in this class,

  • the journal article report is designed

  • to help you address this second thing,

  • knowledge of problems, okay.

  • So in doing the assignments that are required for the class,

  • these two things are going to come together, okay.

  • Today, we're going to address number one

  • and then item number two, you're going to get by Valentine's Day,

  • February 14th, you'll have a journal article report and then

  • in doing this assignment, you'll be looking at the literature

  • and you'll start to identify problems in the field

  • that interests you, okay.

  • So you'll choose a journal article that's relevant

  • to your interest.

  • I don't know what your interests are.

  • Let's say you want to be a dermatologist, okay.

  • Maybe you'll find a chemical biology report

  • that uses skin cells and looks at say melanoma development

  • in skin cells and looks at it at the level of atoms and bonds.

  • I would love to hear more about that.

  • And then by doing this assignment, you'll start

  • to know what are the big unknowns

  • in skin cell tumor development, okay?

  • What are the things that people are fascinated by that are --

  • they're designing experiments to address.

  • And you'll have the tools from this lecture that will allow you

  • to address those problems.

  • Okay, sound good?

  • Okay, so how to find the problem.

  • The first thing I need to ask you

  • to do is start reading either Science or Nature, okay?

  • So I assume many of you are science majors.

  • If you're not a science major, raise your hand.

  • Okay, you're a fascinating case.

  • I'd like to talk to you later.

  • So come to my office and just introduce yourself.

  • Okay, so everyone else is a science major.

  • You're going to get a degree in science.

  • I'd like you to read either Science or Nature pretty much

  • for the rest of your life.

  • Pick one. You don't have to read a book and furthermore,

  • you don't have to read them all that carefully.

  • Just skim through them.

  • By doing that, you will be an informed citizen, okay?

  • You will know more about Science than 99.99%

  • of the people in this planet.

  • And furthermore, you'll learn something

  • about what's really cutting edge, okay?

  • You only have to spend 10 or 15 minutes flipping through Science

  • or Nature, just looking at the headlines and saying, "Oh,

  • they discovered a new class of quasars out in,

  • you know, some other galaxy."

  • Just doing that is enough to help you --

  • well, it will certainly have much better banter

  • at cocktail parties, let's say, [laughter].

  • And to me, that's enough.

  • Okay, so this is part of your education.

  • So start reading Science or Nature.

  • Simply flip through them.

  • That helps you identify problems.

  • The second way is to look at PubMed or Medline

  • which are the same things and I'll be talking some more

  • about PubMed in a future lecture, okay.

  • So hopefully, you already know what PubMed is.

  • Hopefully you already know how to apply it.

  • I'll be showing you how to apply it

  • to chemical biology problems at a future lecture.

  • But these are the two ways that you shift through literature

  • to find stuff that's interesting and that grabs your attention

  • because in the end, you want your proposal to be

  • about something that really interests you, okay.

  • You're going to spend a lot of time on this.

  • Okay, many, many hours and if it's not something

  • that totally interests you, that's not somehow related

  • to the bigger picture of your career aspirations,

  • it's not going to be as much fun.

  • And in the end, if it's fun, you'll do a better job.

  • I'll get a better proposal back out of it

  • and that's the part that interests me.

  • Okay, now I was reading -- I chair the Admissions Committee

  • in the Department of Chemistry at UC Irvine

  • and I was reading the application essays

  • from all the wonderful applicants who have applied

  • to UC Irvine this year and I came across this wonderful quote

  • up here, "The more you know, the more questions you can ask."

  • And so those questions that you can ask, those are the questions

  • that you will be addressing with your proposals.

  • So our goal is to get your knowledge up to the point

  • where you can start asking those questions, okay?

  • All right, now I know this is all very --

  • this all seems very abstract but it's not going to be

  • as abstract in a moment, okay?

  • Sound good?

  • Questions so far?

  • All right, don't be too daunted by the assignment.

  • It will all come together when you're ready.

  • Okay, last announcement, next week's plan.

  • Next week, we're going to be starting on Chapter 2.

  • Please skim Chapter 2 in advance.

  • Take a look through Chapter 2 even before I get to it.

  • Chapter is the review of arrow pushing.

  • Chapter 1 was a review of the biology you need to know

  • and next week we'll be talking about arrow pushing

  • and mechanistic organic chemistry that you need to know

  • to do chemical biology.

  • Okay so next week, we're going to have two lectures

  • on mechanistic arrow pushing.

  • Now, here's the deal.

  • I'll be out of town on Tuesday.

  • But I prerecorded Tuesday's lecture [laughter].

  • And so I'm trying a little experiment this year.

  • I understand that the video from Tuesday's lecture,

  • the last Tuesday's lecture is already available and is going

  • to be shortly posted online, okay.

  • So I will send you the link to last Tuesday's lecture

  • and at the same time, I'll send you the link

  • to the next Tuesday's lecture, okay?

  • And so that next Tuesday's lecture then, you can watch it

  • in your pajamas, in the comfort of your dorm room, okay?

  • And so we're going to try that for Tuesday's lecture.

  • I think that's actual -- I think that will work

  • but I'll know very quickly if it doesn't work, okay.

  • And then Thursday, I'll be back.

  • So Tuesday, I'll be at Cal State LA giving a seminar.

  • Thursday though, I'll be back.

  • Okay, sound good?

  • Okay. All right, so that's the next week's plan.

  • We're going to be reviewing important stuff

  • from organic chemistry.

  • Mainly this focus is

  • on structure reactivity of carbonyls.

  • If you were weak in 51C, please reread this chapter

  • on carbonyl reactivity structure and things like that.

  • There might be two or three chapters for you to read.

  • Mechanisms involving carbonyls especially the aldol reaction.

  • 90% of carbon-carbon bonds

  • and chemical biology are made using an aldol reaction.

  • You need to know what an aldol reaction is, okay?

  • If this word "aldol" is totally unfamiliar to you then you need

  • to spend a little bit of time this weekend reading about it

  • and getting familiar with it again, okay.

  • Because I'm going to assume that you know about an aldol reaction

  • when we get to it, okay?

  • Now, on the other hand, in your review

  • of sophomore organic chemistry, don't get worked

  • up about reactions where the synthesis

  • of carbonyl-containing compounds.

  • Anything that you learned in 51C about how

  • to make the carbonyl using PCC is more

  • or less worthless for this class, okay.

  • Because PCC is not found in cells.

  • It's totally toxic and so good news.

  • As you're skimming through -- as you're reviewing, if necessary,

  • don't get too worked up about memorizing a bunch

  • of name reactions and stuff like that, okay?

  • Instead focus it on mechanisms.

  • Focus on the reactivity.

  • Understand how carbonyls work, that sort of thing.

  • That's what you really need to know going

  • into the next few weeks of this class.

  • Okay, that was a long set of announcements

  • but thanks everyone for coming out for that.

  • All right, let's get started on the actual -- the new material.

  • I want to talk to you today

  • about combinatorial approaches first.

  • And I'm going to pick up on the last slide

  • that I showed you last time and make sure that I didn't skim

  • through it so quickly that it didn't make any sense to you.

  • And then we'll go on to the next topic.

  • Okay, so last time, oops, I was talking

  • about modular architecture in organic synthesis.

  • This is a -- whoops, that's not what I wanted.

  • Just give me one moment to figure this out.

  • All right, I guess we'll have to live with this, okay.

  • So modular architecture is a design principle that allows you

  • to synthesize compounds in a way that allows access

  • to combinatorial libraries.

  • And last time, we talked about this principle

  • of combinatorial libraries.

  • Combinatorial libraries are big collections

  • of different molecules and in a combinatorial library,

  • you have a different set of modules that are shuffled around

  • and recombined in a way that makes a whole series

  • of different molecules, okay?

  • And we talked last time about this class

  • of compounds called benzodiazepine.

  • This name should be -- the name of this class

  • of compound should be vaguely familiar to you.

  • this is an important class

  • of compounds that's found almost ubiquitously

  • in medicinal chemistry and they're used

  • for amongst other things, antidepressants.

  • So you could make a combinatorial library based upon

  • this benzodiazepine scaffold

  • by varying the R functionality shown here.

  • And you do this by a very straightforward synthetic plan

  • that involves the recombination of a ketone together

  • with an aniline so this is a compound

  • that has both the ketone and an aniline functionality together

  • with some sort of alkyl halide and an acid,

  • let's just say an acid halide and an amine.

  • And so these will all snap together

  • to give you this benzodiazepine framework.

  • I'm not showing you the mechanism for this and it's not

  • so important for our discussion so we're going to skip over it.

  • But you can imagine having say, you know, 20 different versions

  • of this ketone-based compound with different R1's

  • and different R2's, 20 R3's over here or 20 compounds

  • that have different R3's and then say, 25 compounds

  • that have different R4's.

  • When you put these all together and you would do this

  • in individual reaction flasks,

  • you'll end up with a large number of different compounds.

  • Okay so let's just do 20, 20, 20.

  • Okay so 20 of these, 20 of these, 20 of these.

  • If we make all possible combinations of those,

  • how many compounds will we end up with?

  • How many benzodiazepines?

  • 20 times 20 times 20.

  • >> So third power.

  • >> 20 to the --

  • >> Third power.

  • >> Third, which is --

  • >> 8000?

  • >> 8000. Thank you.

  • Okay, you guys are scaring me now [laughter].

  • Okay so 8000 compounds can very readily be synthesized

  • by starting with simply 60 different precursor compounds.

  • And that's pretty powerful.

  • If you have 8000 different benzodiazepines,

  • each one that is potentially some bioactivity then

  • that collection could have a lot

  • of very powerful new therapeutic compounds in it, for example.

  • Okay and then we talked

  • about some other different modular frameworks

  • that can be used.

  • Now, I want to shift gears.

  • That's an example of using combinatorial chemistry

  • in the synthetic laboratory.

  • This principle, of course, borrows heavily from biology

  • and it turns out that your immune system uses a similar

  • principle to develop diverse molecules called antibodies

  • which are one of the first lines of defense

  • against foreign invaders.

  • Okay, so if heaven forbid,

  • you decided to take the apple off the ground over there

  • and start chewing away on it, you would find a lot

  • of foreign bacteria in that apple.

  • And so likely antibodies would play some role

  • in fighting off those foreign bacteria.

  • Okay, so here's the way this works.

  • So antibodies' job is to be binding proteins.

  • Their job is to grab on to non-self molecules.

  • So I'm going to refer to this class of compounds

  • as professional binding proteins.

  • That's what they do for a living, okay?

  • That's their profession.

  • And it's one of the immune system's first lines of defense.

  • Structurally, they look like this.

  • I told you earlier, one convention for looking

  • at protein structures using a ribbon

  • to trace out the backbone.

  • I didn't tell you really what these arrows mean

  • and these curlicues.

  • We'll get to that later.

  • But a different convention for looking

  • at protein structures just maps the surface onto the outside

  • of the protein structure.

  • Okay, so if you were able to have, you know,

  • special electron microscopy eyes, you know,

  • eyes that had amazing power of resolution and vision ability,

  • what the antibodies really would look

  • like is something like this.

  • Okay, so they have this sort of bumpy exterior.

  • Now, the stuff down and I've colored this antibody

  • to highlight its structural components, okay?

  • So antibodies, it turns out are composed

  • of a total of four chains.

  • Two of these chains are called light chains.

  • They're shown here at the top in green and then they're sort

  • of cyan color and this purple color.

  • And then there's two heavy chains.

  • Okay, the detail is not so important.

  • Don't get worked up about memorizing how many chains each

  • protein has.

  • Here's what's important.

  • Okay, antibodies have evolved a mechanism that allows them

  • to recognize diverse binding partners.

  • And they do this by having a series of flexible loops

  • that can accommodate different shapes

  • that they need to bind to.

  • Okay, so I'm turning now to the very tips, the tippy-top

  • of the antibody appear which is labeled binding site.

  • This is where the antibody will try to attempt to bind

  • to that foreign invader.

  • Let's say you picked up a virus when you bit into the apple,

  • now the virus is floating around your bloodstream.

  • So the antibody is going to attempt to bind to the exterior

  • of this virus and if we zoom in over here,

  • this is the tippy-top.

  • This is just the -- this is called the FAB region

  • of the antibody so the FAB region of the antibody

  • over here and you could see.

  • And then in this van der Waals sphere,

  • this is an antibody binding to a small molecule.

  • So it's binding to some target.

  • The exact target not so important for us

  • but notice how the target is cradled in these loops.

  • Okay, the loops are gripping this antibody very gently

  • but oh sorry, they're gripping this antigen gently

  • but the antigen is wholly buried in these loops.

  • So these loops are flexible

  • to accommodate many different potential binding partners.

  • That flexibility is critical.

  • That means they can recognize, you know, virus one or virus two

  • or if you go to Ethiopia and pick

  • up some totally different virus, they will also pick

  • that one up too, you hope.

  • And at the same time, these provide enough other types

  • of molecular recognition which we'll talk about later

  • that allows strong enough binding

  • to muster an immune response

  • and then the antibodies basically sound the alarm.

  • The red coats are coming and get the immune response to go

  • into high gear to start killing off that foreign invader.

  • Okay, so very first line of defense

  • against foreign invaders.

  • Now, the problem and the big challenge is

  • that these antibodies need to recognize stuff

  • that your human organism, you,

  • have never seen in your life, okay?

  • That means that if you travel to India or you travel to,

  • I don't know, Palos Verdes or wherever it is that you travel

  • and you pick up some new organism

  • or some new foreign invader, the antibody,

  • the combinatorial library of antibodies needs

  • to be ready to recognize that.

  • And of course, you know,

  • this stuff has never been seen before.

  • The antibodies have never trained on that.

  • So the antibody -- the strategy that your immune system uses is

  • to have a vast collection of potential binding partners.

  • Okay, so make a big collection of different antibodies,

  • each one with structural differences to be ready

  • to recognize any particular type of invader, okay?

  • Now here's the other thing.

  • So the size of the collection is huge, okay,

  • and these antibodies are produced

  • by immune cells called B cells which look

  • like this, or B lymphocytes.

  • This collection is fairly enormous.

  • It's estimated to be on the order of about 10 billion

  • or so different antibodies.

  • Okay, but earlier, I told you

  • that the human genome is only about 24,000 genes.

  • Okay so obviously there can't be 10 billion different molecules

  • in the immune system each encoded by its own gene.

  • So instead the strategy that the immune system has evolved is a

  • strategy whereby different gene segments are recombined in a way

  • that then produces a combinatorial library

  • of different antibodies.

  • Okay, so let me show you.

  • So there are 40 of these variable genes, V modules,

  • 25 diversity modules, six joining modules,

  • and they're shown here.

  • So here's the V genes, the D and the J genes and then

  • by combinatorial gene assembly, these are brought together

  • to encode the antibody heavy chain gene, okay.

  • So that encodes the heavy chain that I showed

  • on the previous slide.

  • Similarly, the light chains are produced by another type

  • of combinatorial gene assembly whereby one

  • of these V's is picked out and et cetera,

  • and one of the D's is picked out, et cetera.

  • Okay, so in doing this, you can get a very vast library

  • of different antibodies.

  • Furthermore, the antibody diversity pool is further

  • diversified by a series of genetic manipulations

  • that includes variable gene joining.

  • So when the genes are joined together, they're not sort

  • of glued together neatly.

  • Instead, there's little parts that are clipped off or added in

  • and then furthermore, there's a process called hypermutation

  • that goes through and makes tiny little mutations

  • in the encoding sequences as well.

  • So in the end, you end up with around 10 billion

  • or so different antibodies, each one different structurally

  • and potentially able

  • to recognize whatever foreign invader you happen

  • to encounter during your life.

  • Okay, does it make sense?

  • Okay, so to summarize, what we're seeing is a strategy

  • for combinatorial synthesis that's used in the laboratory

  • and also used by your cells.

  • Okay, in both cases, there are these modules that are shuffled

  • around and then rejoined in literally random fashion

  • to give us a vast collection of different molecules

  • and then we hope that these different molecules are going

  • to be functional when the time comes

  • that we actually need them.

  • Okay, make sense?

  • Okay, yeah, question over here.

  • >> For a C mutation, how do [inaudible] because there's

  • so many of them and you know, sometimes react then against us

  • because there's so many?

  • >> Okay, yes.

  • So there's a separate process as it tracks out things

  • that recognize self as well.

  • >> Okay.

  • >> Yeah, that's an interesting question as well.

  • So yeah, thanks for asking.

  • What is your name?

  • >> Joshua.

  • >> Joshua, okay.

  • Okay, changing gears.

  • So the last topic in Chapter 1 is a survey of the tools

  • that we need in chemical biology to be able to address problems

  • and address the frontiers of chemical biology.

  • So I'm going to have a very quick survey

  • in the next 15 minutes or so.

  • I'm going to share with you a series of different tools

  • that you can then use in your proposals.

  • Okay, so think of this as you're trying

  • to put together your toolkit.

  • This is going to be the hammer, the saw,

  • the nail gun, whatever, okay?

  • So these are the things that you need to put to address

  • to design experiments in chemical biology.

  • Okay, so again, this is useful

  • for planning your proposal assignments

  • but this also provides a toolkit for further experiments.

  • We're going to be referring

  • to this toolkit quite a bit in this class.

  • So later in the quarter, I'll be able to say, "Oh yeah,

  • remember those antibodies that I mentioned earlier?

  • Those are now going to be in your toolkit."

  • This toolkit is very diverse and vast.

  • It ranges from chemical reagents to entire model organisms

  • and there's a huge amount of diversity

  • in that range of different tools.

  • So chemical biology as a field uses all kinds

  • of different techniques.

  • It uses techniques from molecular biology.

  • It uses techniques from the very latest in nonlinear optics

  • and to image cells and everything in between.

  • Okay, in addition, I also want you to know these tools

  • because I want you to be able to design experiments on the fly

  • to determine, you know, X. Okay

  • and a very common midterm question for me would be,

  • "How would you design an experiment to address, you know,

  • what kind of signaling, chemical signaling is being used

  • by the gut bacteria, your gut bacteria

  • to let their neighbors know that sugar has arrived?"

  • Okay, which actually is a pretty interesting question.

  • I'd like to know how you'd do that.

  • Okay, in addition, I want you to know how to describe negative

  • and positive controls.

  • We're going to be talking about experiments

  • and all good experiments have both negative

  • and positive controls.

  • So why don't we talk about that topic first?

  • Okay, so if you're going to be designing experiments,

  • you need to know first what a negative control is

  • and what a positive control is because you need to be able

  • to design these into any experiment

  • that you want to design.

  • Okay, so good experiments have both the positive

  • and a negative control.

  • Positive control first.

  • A positive control is a set of experimental conditions

  • that provide an expected response or a positive result.

  • Okay, so in this case, you can basically want

  • to know does the conditions in my flask produce, you know,

  • produce an amplified DNA or something like that?

  • And so what you'll do is you'll start with a sample

  • that you know should work a certain way

  • in your experiment, okay.

  • It should give you a predetermined result

  • and it should be completely consistent every time.

  • It should be very -- it should give you

  • that expected result every time.

  • So this tells us that our experimental apparatus is

  • working, okay.

  • And you need to know this because oftentimes,

  • the experimental apparatus

  • in chemical biology labs isn't simply a stirrer and you know,

  • a hot plate where you can just test the hot plate

  • by sticking your fingers on it for a nanosecond.

  • The chemical apparatus might be, you know,

  • a tiny little microcentrifuge tube and you've shot in a bunch

  • of different reagents.

  • You know, 10 different reagents all of which are clear,

  • none of which you can really assay all that readily.

  • So what you do is you set up a set of conditions

  • where you know the results and then you see

  • if the result is recapitulated

  • under your experimental conditions.

  • Okay, so this is a positive control

  • and you always want to have one of these.

  • Good experiments have positive controls.

  • Good experiments also have negative controls.

  • So this is where you leave

  • out some experimental condition in your experiment.

  • Maybe leave out the test sample, okay?

  • So earlier, I was talking to about trying to assay --

  • let's just say some sort of microorganism found

  • in your stomach that responds to the presence of sugar, okay.

  • And maybe you want to know whether

  • that microorganism releases indole to signal

  • to its neighbors, okay?

  • Actually that's not a bad experiment.

  • So your experimental apparatus will be measuring the

  • concentration of indole.

  • Your positive control will be say some bacteria

  • that you know release indole and that tells you whether

  • or not your experiment is working.

  • The negative control can be entirely missing the bacteria.

  • Okay, so you do the exact same experiment but you leave

  • out the bacteria and no indole should result.

  • Okay, if you see indole resulting, that tells you

  • that you have a problem.

  • That tells you that you have say, a contaminant for example.

  • This should result in a failed experiment or a negative result.

  • So its experimental condition missing a key element,

  • say the test sample, the thing that you're trying to test.

  • Okay and again, it should result in a failed experiment.

  • If it does not result in a failed experiment,

  • that tells you that in your conditions, you have some sort

  • of source of contamination.

  • You absolutely need these negative controls, okay?

  • Because all too often in chemical biology, we have lots

  • and lots of contaminants and there are lots and lots

  • of false positives and we just don't like that kind of thing.

  • You want to know that if you're going to tell your friends

  • down the hall that you discovered a new base

  • in the DNA sequence, you want to know

  • that actually that's the real thing, okay,

  • that you're not telling your good friend something that turns

  • out to be totally wrong later and it makes you look stupid

  • because no one likes to look stupid, okay?

  • Now, because we have very complicated experiments

  • in chemical biology that involve lots and lots of variables,

  • remember I told you earlier about the one

  • that has 10 different things thrown

  • into little tiny microcentrifuge tube,

  • we often have multiple negative controls,

  • one for each possible variable.

  • Okay, so for example, you might leave out the magnesium

  • from the buffer just to know does the magnesium contribute

  • to this experimental result?

  • You know, is this actually a magnesium-dependent enzyme

  • that produces indole as expected?

  • If you leave out the magnesium

  • and you still are getting some result that could tell you

  • that maybe it's not a magnesium-dependent process.

  • Okay, so negative controls tell you a lot about what's going

  • on in your experiments.

  • Okay and a good experiment should have both negative

  • and positive controls.

  • Any questions about what positive controls are,

  • what negative controls are?

  • Yeah.

  • >> So if you lined up this thing,

  • if you failed positive control

  • and you passed the negative control, do you [inaudible]?

  • >> Okay, this is a great question.

  • It happens to me all the time.

  • Okay so the question is -- what is your name?

  • >> B.

  • >> B? B, okay so B's question is if your positive control fails

  • and your negative control works,

  • what does that tell you about the experiment?

  • I would say that that tells you

  • that your experimental conditions are worthless

  • and you cannot interpret the experiment, okay.

  • Because if the positive control fails

  • to work then you really don't understand what's going

  • on in your experimental condition, okay.

  • The positive control really tells you whether

  • or not you understand all of the elements

  • that compose your experiment.

  • If the negative control fails as you expected it to fail, well,

  • maybe it's failing because of the positive --

  • for the same reason that the positive control failed.

  • Maybe you left out some key reagent, right?

  • You know, maybe you didn't heat it up to the right temperature

  • and hold it there for long enough or something, okay?

  • So both your positive control and your negative control have

  • to work in order for you to interpret the results.

  • Okay, now I'm being really dogmatic here.

  • I will tell you -- I will tell you

  • that we scientists oftentimes look at experiments

  • that don't necessarily have every control working, okay?

  • I'll look at those.

  • My students will show me those all the time.

  • I'll look at them but I'm not going to you know,

  • call up the Nobel Prize Committee in Stockholm

  • and tell them about it, okay?

  • Because it's probably not worth a lot of time but we'll use

  • that to guide the next set of experiments.

  • We'll say, "Well what is it that failed in the positive control?"

  • And then we'll design and troubleshoot

  • and design the next experiment using that information.

  • We'll look at the negative control and say, "Oh yeah.

  • That failed.

  • That failed.

  • That failed.

  • So these variables are probably okay.

  • What about this one?"

  • Okay, so you can get a lot of information

  • from experiments that fail.

  • In fact, you absolutely to be a successful scientist,

  • you need to learn how to work with experiments that fail

  • because 90% of the time, they fail.

  • Okay but you know, that's the way life is so you learn as much

  • as you possibly can and then you move on.

  • But to make strong conclusions though, you need experiments

  • where both the positive control

  • and the negative control are working as expected, okay.

  • Okay, good question, B. Other questions?

  • All right, let me show you an example.

  • Let's imagine that you wanted

  • to amplify some DNA sequence using a technique called PCR.

  • Details not so important now.

  • Hopefully, you already know what PCR is.

  • I understand it's taught in high schools now.

  • If not, you can look it up in the textbook.

  • If not, don't stress about it.

  • I'll talk about PCR later.

  • Later, you'll need to know how this works.

  • For now, let's just use it as a method for amplifying DNA, okay?

  • And furthermore, here's a method

  • for visualizing DNA as bands on a gel.

  • And I know all of you have done TLC.

  • This is kind of like TLC except the bands are upside down, okay?

  • But it's more or less, it's like upside down TLC.

  • It's more or less the same technique that's used

  • to visualize compounds except we're visualizing DNA

  • by running it through an agarose gel.

  • Again, if that technique is not familiar to you, don't panic.

  • We'll talk about that later in this class.

  • For now, we have a method for amplifying DNA.

  • We have a method for visualizing the resultant DNA, okay?

  • Now, here's our positive control.

  • It's the lane over here that's labeled with a plus, okay?

  • So over here is a set of conditions

  • that you know results in DNA.

  • And notice that there is a band right, a big bright band, okay?

  • So that tells us that our positive control works.

  • You have a sample of DNA that you know should amplify

  • under that set of conditions and lo and behold, it gives you

  • that nice bright band.

  • Next lane, the next lane are the negative controls, okay.

  • So we don't see that same band.

  • Say that is missing the DNA sample, okay?

  • We don't see that same band so we don't have

  • to get worried about it.

  • Final lane, this is our experimental lane.

  • Okay, you do these two experiments, the positive

  • and the negative control just to see whether your sample

  • over here is working, okay.

  • And here's the one that has the actual test sample and notice

  • that it gives you DNA and it turns

  • out the technique separates on the basis of size.

  • It gives you DNA of a different size, okay?

  • So we have both a positive control that works as expected.

  • We have a negative control that works as expected

  • and then we have our experimental one.

  • In a typical experiment in my lab, we'll have six

  • or seven negative controls and maybe two positive controls just

  • so that we know what's going on.

  • We don't -- we cannot visualize what's going on so we need all

  • of these controls to follow what's actually happening

  • in the test tubes, okay?

  • Or sometimes even smaller than test tubes, okay?

  • Sometimes, we're even down on a single molecule level

  • so we really, really need all these controls, okay?

  • I want you to be thinking about these controls

  • when you design your proposals.

  • Okay, good proposals will have both positive

  • and negative controls.

  • How you design your experiments and how you discuss them

  • with me will in the end determine how creative they are

  • and how robust they are and how likely they are

  • to stand up to scrutiny.

  • Okay, if you want to propose something that's totally wild

  • like I don't know, time travel or something like that,

  • I will discourage you.

  • But let's say you want

  • to propose something that's not quite so wild, okay,

  • but you come up with a whole bunch of controls

  • that will really tell us something about whether

  • or not your experiment is working, I'll go with it, okay?

  • So be as creative as you possibly can be, okay?

  • I'll look forward to reading those.

  • All right, let's talk about tools.

  • So the first tool that's used quite extensively

  • in chemical biology laboratory involves dyes

  • that are turned over.

  • These are these color-metric indicators as they're termed

  • and have been used for hundreds of years,

  • probably at least 120 years in chemical biology experiments.

  • Okay, they're used for all kinds of things.

  • They're used to stain cells.

  • They're used to follow enzyme reactions.

  • And here is one example of these dyes.

  • If you have some sort of enzyme in your reaction

  • that you're trying to assay

  • and the enzyme somehow cleaves this ether bond,

  • what will happen is this will then release a nitrophenolate

  • molecule shown here.

  • This nitrophenolate is a nice yellow color.

  • Okay, so you can very clearly see.

  • This one is clear.

  • This one is yellow.

  • Okay, so everyone could see that difference?

  • Okay, so if the enzyme is present

  • and the enzyme is functional,

  • you get a nice yellow color from this solution.

  • Okay. Now, this is really powerful.

  • Okay, this gives you a way of turning stuff that you can't see

  • into stuff that you can then visualize.

  • Okay? And furthermore, this is typically quantitative.

  • In other words, you can pass light through here,

  • see how much light gets absorbed --

  • say you pass visible light through here --

  • see how much light gets absorbed and use this

  • to quantify how much enzyme is present in your solution.

  • Okay, doing this gives you a really effective way

  • at addressing things like enzyme kinetics, at,

  • you know, different properties.

  • You can look at say, binding between receptors

  • and ligands using this type of technique.

  • So, this is bread and butter of chemical biology labs.

  • Okay, B, you have another question?

  • >> [Inaudible] I know that [inaudible] reaction,

  • so [inaudible] concentration of enzymes [inaudible].

  • >> Okay, yeah.

  • So, B's question is how do I know the concentration

  • of the enzyme in this reaction?

  • How do you make it quantitative?

  • Okay, so what you will do is you'll have a series of controls

  • where you have a known amount of enzyme that's turning

  • over this dye and then you see how yellow it gets

  • after five minutes with that known quantity of enzyme.

  • Okay? And then you can use that to calibrate this experiment.

  • Okay. So -- yeah.

  • So there's subtleties to everything I'm telling you,

  • but this isn't too hard.

  • Okay? Thanks for asking.

  • Other questions?

  • Okay, so in this example we're looking at light that's absorbed

  • and then this absorbents results in the molecule radiating

  • out the energy of the photons that it's absorbing as heat.

  • Okay, in a different experiment the light is absorbed

  • and instead of the energy of the photons being radiated

  • out as heat, instead it's blasted out by the molecule

  • as a photon with a lower energy.

  • Okay? So it has a different wavelength

  • of light that's being given off.

  • Okay, so here's a series of different molecules that have

  • that property in that they absorb protons

  • and then radiate back out photons of lower energy.

  • These are used in fluorescence experiments extensively

  • in chemical biology.

  • These are used to visualize molecules inside cells,

  • inside organisms, and in whole hosts of different experiments.

  • Okay, so I already told you this.

  • Flurorophores absorb photons of light and emit a photon

  • at a lower wavelength.

  • Okay? You can select in your microscope just those photons

  • at that lower wavelength by setting up a filter.

  • Okay? So the way this works is if your fluorophore --

  • let's say this fluorescein over here.

  • So here's your fluorophore.

  • It's going to give you this greenish colored light

  • and in your microscope you will have a filter

  • that filters out all other light.

  • Okay? So this prevents back scatter --

  • except for light of this wavelength

  • that is this nice green color.

  • That will give you exactly

  • where this fluorescein molecule is binding inside the cell.

  • Okay? Furthermore,

  • this technique is extraordinarily sensitive.

  • It's one of our most sensitive techniques in chemical biology.

  • Supplanted only by the thing that Miriam is working on.

  • Okay, so Miriam is doing something that's going

  • to be even better.

  • But for now, up until say two years ago, this was the champ

  • and you can get down to single molecules

  • under the right conditions using fluorescence.

  • You can actually see one fluorophore fluttering away

  • as its releasing photons.

  • Okay? Pretty amazing.

  • Okay? I will tell you that those right conditions,

  • completely non-trivial.

  • Okay? It takes a cooled CCD camera that's very,

  • very large and very expensive.

  • This is not like your cellphone that's hooked

  • up to the top of the microscope.

  • This is a really, kind of a very special type of camera

  • to visualize this sort of thing and pull up enough photons.

  • But in the end this is really powerful stuff

  • because if you can visualize just one molecule inside the

  • cell, then you can start getting a processes

  • that really govern how cells work,

  • where cells are oftentimes responding to a lower number

  • of molecules inside them.

  • Okay? So this is a really powerful technique.

  • It's used for all kinds of things.

  • In this example I'm showing you two cells that are dividing

  • and they're being pulled apart by these spindles over here --

  • sorry, the DNA in blue is being -- or in cyan --

  • is being pulled apart by this spindle apparatus

  • into the two daughter cells and the actin,

  • which is the protein scaffold of the cell, kind of the skeleton

  • of the cell, is highlighted in a red over here.

  • Okay? Absolutely spectacular, stunning imagery really

  • that you can find examples of where this technique is used.

  • This is completely ubiquitous.

  • This technique is used

  • for visualizing stuff inside the cell.

  • It's used for visualizing stuff outside the cell

  • and little tiny reaction flasks for doing screens of drugs,

  • for doing phenotypic assays of cells as well.

  • Okay, and question over here?

  • [ Inaudible Question ]

  • Yeah. So the single molecule technique

  • that I described would use a FRET.

  • So, thanks for asking.

  • Other questions?

  • Yes, over here?

  • >> So, basically --

  • >> What is your name?

  • >> I'm sorry, sir?

  • >> What is your name?

  • >> Chelsea.

  • >> Chelsea.

  • >> So, basically these small molecules are made

  • so that it can bind to a specific part of the cell?

  • >> Chelsea's question is a really good one.

  • Okay, so Chelsea's asking, you know, why should, you know,

  • this dye bind to the DNA over here

  • and nowhere else inside the cell?

  • Later we'll be talking about the dyes that bind to DNA

  • and what makes them special, but you're absolutely right.

  • They need some way of getting guided into the cell.

  • So, for example, these actin, the red color

  • of the actin I believe is an antibody that binds to actin.

  • Okay? So that's a big molecule that I showed earlier.

  • That antibody is then attached to this rhodamine.

  • Okay, so rhodamine is attached to the antibody.

  • The antibody that's being used is specific for actin.

  • It binds to actin and it's a professional binding protein

  • that was raised just to bind to actin and now it's going

  • to highlight all of the actin in the cell

  • in this rhodamine red color over here.

  • Okay? Really cool stuff.

  • So, thanks for asking.

  • But you have to have some other technique

  • that will target the fluorophore specifically to what it is

  • that you're lighting up inside the cell.

  • Okay? Great question, Chelsea.

  • Other questions?

  • Okay, so again, totally ubiquitous technique,

  • used very extensively.

  • I imagine every single one of you will have some experiment

  • in mind that will use either fluorescence assays

  • or colormetric assays of your molecules.

  • Okay, now here's the deal.

  • We can expand these up.

  • I've shown you two different assays.

  • We can expand these up to look at literally thousands

  • of molecules a day and thousands of conditions a day using,

  • for example, micro titer plates.

  • Okay, so these are plates that are about this big.

  • So, they're not that big, and they're standardized,

  • and they have a standard number of wells on them.

  • So the ones my lab uses are 96

  • or some sometimes 384 wells per plate.

  • That's this big.

  • But it's not unusual to have 1536wells

  • in a little space that's about this big.

  • Okay? Where each well is, you know, say 10 microliters

  • or something like that.

  • Okay? But what that means then is

  • on that plate you can assay1536 different conditions.

  • Okay? So that's 1500 different conditions.

  • Okay, maybe 50 of those are different controls --

  • negative controls, positive controls.

  • But you're still looking at a huge number

  • of different molecules, of different --

  • other variables that you're testing

  • in that one little, tiny area.

  • And it's not infrequent for me to visit places

  • where they have a whole room this size filled with robots

  • that are pipetting -- that's this technique over here --

  • pipetting on an automated fashion reagents

  • into these tiny little plates.

  • And then the robot has like a little, you know,

  • arm that then brings it into a reader

  • and absorbance is then read out automatically

  • and all this data is imported into your desk

  • and appears on your laptop.

  • Okay? Very cool isn't it?

  • Okay? So, yeah, it's a great time to be alive.

  • Okay, so this absorbance we talked earlier how it can be

  • used for quantitative analysis.

  • Oftentimes we rely on antibodies to bind with specificity

  • to a particular molecule.

  • This is the question that Chelsea was asking.

  • It's not unusual to us

  • to actually add an antibody that's specific

  • for some target inside the cell.

  • Okay? And so we're going this so that we can actually look

  • at just that individual protein.

  • And I showed you earlier the structure of antibodies.

  • That structure allows them to be very, very specific.

  • If an antibody is attached to an enzyme then you can look

  • at turnover of a dye and that can visualize the presence

  • of a molecule as turnover of a dye.

  • Okay? Everyone still with me?

  • Make sense?

  • Okay, and the scope of this is enormous.

  • Pharmaceutical companies will screen

  • through half a million compounds

  • in two weeks using techniques like this one.

  • Okay? And there might be two humans that are involved

  • in those experiments, both

  • of whom are keeping the reagents and the robot happy.

  • Okay? It turns out actually programming the robot,

  • not as trivial.

  • So, you know, it's very different

  • than telling the undergraduates, "Okay,

  • I want you to pipette all these things."

  • Okay, this is much more industrial scale.

  • Okay, and it's used very routinely in Chem-Bi labs.

  • Okay, sound good?

  • All right, let's move on.

  • Another very powerful technique that's used quite routinely is

  • basically a Darwinian evolution technique

  • where you can evolve organisms

  • that can accomplish some chemical goal.

  • For example, over here this is an experiment

  • to find mutant bacteria that can take advantage of iron

  • and metabolize this iron.

  • So -- and this plate over here,

  • this left side is the negative control.

  • These are bacteria that you don't expect,

  • that were not mutated and on the right side --

  • so you do not expect them to be able to handle the iron --

  • and on the right side, these little circles are examples

  • of the colonies of bacteria that can take advantage of iron

  • and actually accomplish their metabolism.

  • On the right side, here's -- in B, panel B --

  • this is a different experiment where you're looking

  • for bacteria colonies that can produce lycopene.

  • Lycopene is the red dye that's found in tomatoes.

  • It's the reason why tomatoes are red.

  • And it also is thought to have some anti-cancer properties,

  • although evidence for that is not as well supported.

  • But in any case, you can imagine evolving the bacteria,

  • putting in the genes that encode lycopene production

  • and then evolving the bacteria to produce this red-color dye.

  • And then at the end of the experiment you'd go in

  • and simply pick out the reddest of the colonies over here.

  • Now if you look closely at this there's some really, really,

  • really interesting stuff going on.

  • Okay? Do you notice how some of these are kind

  • of mottled in appearance?

  • This one has some little red dots

  • and then it looks mainly clear.

  • What's going on there?

  • That's absolutely fascinating.

  • Okay? I'd like to know more about that.

  • So the essence of being good scientists is not simply

  • running experiments.

  • The essence of being good scientists is designing good

  • experiments and then observing the results like a hawk.

  • Okay, you have to look at these things intensely, intensely,

  • intensely and ask questions.

  • Why is there a white halo around this one and then a red inside?

  • What is different between the bacteria here

  • and the bacteria out here?

  • Maybe it's a trivial reason.

  • Maybe these guys have had more time to produce their lycopene

  • and these guys are just, you know, they haven't grown

  • as long on the outside.

  • But you still would want to know that.

  • And so being a scientist is all about designing good experiments

  • and then next observing, observing, observing,

  • and making those observations.

  • That's where we make progress in science

  • and where we make progress in chemical biology.

  • Okay? Sound good?

  • All right.

  • Oh, I didn't tell you about the Darwinian evolution.

  • You can imagine getting a bunch of mutants,

  • picking out the winners over here, mutating them again,

  • pick out the winners, mutate again, pick out the winners.

  • That's the same process of evolution that we talked

  • about on Tuesday where you diversify the pool,

  • select for fitness, keep doing the same thing again, and again,

  • and again, until eventually you have some super growers.

  • Ones that can grow really, really fast,

  • under those conditions.

  • Okay, and that would be really interesting to understand

  • at a molecular level what's going on there

  • and what's allowing them to do that.

  • Okay, viruses are very powerful tools for gene delivery.

  • They're very efficient at infecting cells.

  • I'll be showing you an example of viruses

  • in action in just a moment.

  • My laboratory grows large quantities of viruses

  • as a tool for chemical biology.

  • Their major goal in life is to make copies of themselves.

  • That's what they do.

  • Okay, they have a very short lifetime and during

  • that time they are totally fixated

  • on making new copies of themselves.

  • Because they have such short lifetimes and they're

  • so ruthless at amplifying themselves this provides a very

  • powerful tool for selections.

  • Okay. Let me show you an example of this.

  • The example is using a technique called phage display,

  • which again is applied by my laboratory and many others.

  • What we do is we start with the filamentous virus.

  • Okay, so each one of these little hairy things over here,

  • each one of these thread-like things is a single virus

  • and the virus, this particular virus infects e-coli.

  • So, like all viruses the inside

  • of the virus is an encapsulation --

  • encapsulates genetic material.

  • In this case this virus encapsulates DNA.

  • There's other viruses that are RNA-based.

  • This one happens to be DNA-based.

  • Okay, now here's the great part.

  • As a chemical biologist, we can go in

  • and manipulate the DNA that's found inside the virus.

  • When we do this, we can coax the viruses

  • into producing large numbers of different viruses,

  • each one with a different protein displayed

  • on its outer surface.

  • Okay? Each one with a different protein outside, on its outside.

  • Okay, that's called displayed.

  • Okay, and then you can do selections.

  • So for example, you have, say, a billion different viruses,

  • each one with a different protein displayed out here.

  • You can then throw these viruses at a chemically modified surface

  • down here, and then simply take out the winners,

  • the ones that can grab on to this chemical found

  • on the outer surface over here.

  • Everything else that can't grab on is washed away.

  • You wash this away using some sort of buffer.

  • Okay, so you just flow water over this for five minutes.

  • I guarantee you, everything that's a weak binder,

  • everything that can't really get a good grip

  • on the chemically modified surface gets thrown

  • in the trash.

  • Okay? And then you start amplifying up those winners,

  • and then you do the process again,

  • and then you do the process again, and again,

  • like four or five times.

  • By doing that you start to get very tight binders

  • to this chemical found on the surface that you're targeting.

  • Okay? So, this is a way of starting

  • with literally 10 billion different molecules and coming

  • down and identifying just the few that do something special,

  • such as bind to this chemical over here.

  • Okay? Question over here?

  • >> Seeing the virus so small, how can you pick

  • out every single virus?

  • >> Yeah, yeah.

  • Okay, that's a great question.

  • So how do you even manipulate these viruses?

  • So what we do is we infect back their e-coli hosts

  • and then we can make colonies of those e-coli that are infected

  • where each colony has one and only one type

  • of virus inside of it.

  • Okay? And then you can actually see the virus there.

  • Okay.

  • >> [Inaudible] virus that can attach to the [inaudible].

  • >> Yeah. Yeah.

  • >> [Inaudible] virus to the e-coli.

  • >> Yeah. Let me show you on the next slide.

  • Okay? Great question.

  • Okay, so the question is about the particulars

  • of how this technique works.

  • Again, here's the viruses over here.

  • Here's the size of our library that's around 100 billion or so.

  • That's the maximum size that we can make.

  • Notice that in this electron micrograph

  • over here there is a little cluster of grapes

  • at one end of the virus.

  • That's its head.

  • That's what it uses to grab onto the e-coli

  • that it's going to infect.

  • Okay? So, that's this part up here.

  • Okay? That's the head of the virus, that cluster of grapes.

  • And again, the DNA is stuffed into a long pipe of virus

  • over here, and the virus is very flexible.

  • Okay, so this virus is like a hose

  • in terms of its flexibility.

  • Okay? Now, here's the experiment

  • that I was getting asked about earlier.

  • So what you do is you make your library of different viruses,

  • each one with a different protein displayed out here

  • and then you throw those viruses at some target.

  • Pac-Man. Okay, this Pac-Man shaped target that happens

  • to be stuck on the surface -- on some sort of surface.

  • Okay? You then select all of the things that bind to Pac-Man

  • and wash away everything that doesn't bind.

  • Okay? So in this step you go from 100 billion

  • down to just say -- let's say a couple 100.

  • Okay, and then you pick out these viruses, you amplify them

  • up in their host, e-coli, and then you do this again.

  • Okay, so again, we target Pac-Man,

  • wash away the non-binders, amplify up the binders,

  • wash away the non-binders, amplify the binders,

  • and you just keep doing this a bunch, a bunch of times.

  • Okay? At the end of it you'll end up with say --

  • let's say 50 to 100 that bind really well

  • to the targeted PacMan shaped molecule.

  • Okay, so now you want to go in and you want to look

  • at those individuals and see which one binds the best.

  • I think that's your question, right?

  • Okay, so what you do is you infect the winners

  • into E. Coli -- this is a bacteria --

  • and then you can plate out bacteria

  • such that you end up with colonies.

  • Okay? That was shown over here.

  • Each one of these dots is called a colony.

  • These are genetically identical bacteria.

  • In the case of virus infected bacteria,

  • each one of these colonies will have a different virus in it --

  • a different bacteria phage in it.

  • Okay? And then you can assay each one of those individually.

  • Okay, it turns out that this principle of vast library

  • of proteins that are displayed

  • on phage is also applicable to DNA and RNA.

  • And this is another tool that's used routinely

  • in chemical biology laboratories.

  • So my colleague, Professor Andrej Luptak, for example,

  • routinely makes huge libraries of RNA and then selects

  • for binders from this big library.

  • So here, for example, is a derivative of rhodamine,

  • a molecule that I showed you earlier,

  • and here's an RNA sequence that likes to bind

  • to this rhodamine-like molecule that I showed earlier.

  • So you can select for binders to all kinds of different things

  • from these vast pools of both DNA and RNA.

  • Okay, using exactly the same principle that I showed earlier,

  • you attach this molecule to some surface,

  • you throw at that surface the big pool of say, RNA,

  • wash away all the non-binders, grab onto the binders,

  • amplify them up, repeat the process.

  • Okay, so it's simple, molecular evolution.

  • Okay? Exactly like the evolution that we talked about on Tuesday.

  • Now the reason why this is important --

  • it's important to apply this evolution is you cannot know

  • in advance exactly what sequence is best going to bind

  • to some complicated molecule like this.

  • Okay? I know it would be really cool if I could sit

  • down with laptop and, you know, crunch some numbers

  • and at the end of that get the perfect RNA sequence.

  • But we chemical biologists can't do that.

  • Okay? We just don't know what are the design rules

  • for designing something that has a pocket shape like this.

  • And furthermore, what are the functionalities that we're going

  • to need that'll be complimentary to the partial positive charge

  • over here, on the lone pairs on oxygen,

  • the [inaudible] over here, et cetera.

  • It's better just to go out and do the experiment

  • and just see what you get,

  • and then analyze what you get at the end of it.

  • Okay, make sense?

  • Okay. So that was an example in your tool kit

  • of using libraries both on phage,

  • libraries that are DNA or RNA.

  • The next thing in your tool kit are small molecules.

  • So small molecules are used extensively in chemical biology.

  • So some of these molecules are antibiotics.

  • Some of them are natural products that are found in --

  • that are being produced by microorganisms

  • as they fight off their invaders.

  • But others are discovered in chemical biology laboratories

  • with a particular function.

  • Okay? And so these molecules are used quite extensively both

  • in chemical biology laboratories but also in Cell Biology

  • and in biochemistry labs.

  • So, for example, yesterday I showed you the pathway

  • of the central dogma, which is the information pathway

  • for biosynthetic information inside the cell.

  • Small molecules, such as the one shown over here,

  • are known to inhibit pretty much every step of this pathway.

  • And so, on the shelf you can have molecules that would say,

  • disrupt the process of translation,

  • like cyclohexamid, shown here.

  • Or other molecules that disrupt transcription,

  • such as alpha-Amanitin, shown here.

  • And these are molecules that you can buy

  • from your chemical supplier.

  • Okay? So these small molecules give you tools to shut

  • down specific events inside the cell.

  • Okay, now what's so powerful

  • about this is you can control the dose, the location,

  • the time of delivery, et cetera, with perfect control

  • over those type of things.

  • Okay, the dose is simple.

  • Right? You add the exact concentration

  • of the small molecule you want.

  • And, where this is important is that also controls the percent

  • of inhibition that you're doing.

  • Okay, so let's say you want to shut down a little bit

  • of protein translation but not all protein translation.

  • Maybe you don't use a huge quantity

  • of cyclohexamid over here.

  • Maybe, more likely though, you just want to shut

  • down all protein translation,

  • so you add a large concentration of cyclohexamid.

  • In addition, you can control the location.

  • So you can deliver the molecule to some space.

  • Let's say you're looking at an organ under the microscope

  • and you want to know, you know, what happens if I shut

  • down protein synthesis on this part of the stomach,

  • but not this other part over here?

  • You can dose that part of the stomach

  • and leave the other part undosed.

  • In addition, you can control the time of delivery.

  • Right? You can say, look at --

  • if you're looking at circadian rhythms inside --

  • I don't know, inside your neuro cells.

  • Right? Circadian rhythms are the timing of clocks that is used

  • by organisms to coordinate their day.

  • You might be really interested in knowing what happens

  • if I shut down transcription at --

  • right before the organism goes to sleep?

  • So being able to add the small molecule at a precise time,

  • in a precise location,

  • with a precise concentration is really powerful, and it's one

  • of the reasons why small molecules are

  • so important inside cells -- inside chemical biology

  • and cell biology labs.

  • Okay, any questions about what we've seen so far?

  • Okay, I've shown you a whole series of different experiments

  • that you can do and you can plan to do.

  • I want to show you next the players that you're going

  • to be using for designing your proposal ideas.

  • Okay, you're going to be using model organisms

  • because as I told you earlier I don't want you

  • to plan experiments on humans.

  • Okay, that would not be the point of this course.

  • Okay? Instead, what I'd like you to use is model organisms

  • or samples that are obtained from consenting human adults.

  • Okay [laughter]?

  • Okay, so in general though,

  • when you're choosing a a model organism you want to choose one

  • that grows easily, that's easy to study, that grown quickly,

  • and has some relevance to human biology.

  • Okay, not every model organism is going to be so great.

  • If you want to study, say, you know,

  • the hearts of Burmese pythons, and Burmese pythons take years

  • to grow or something like that, it light be a very long PhD

  • for you or your students, and no one likes that.

  • Okay, so you want to choose organisms that grow quickly,

  • that are inexpensive to grow,

  • that don't require really exotic conditions to grow.

  • You know if you have to feed your Burmese python rabbits

  • every two weeks or something like that it's going

  • to be expensive and it's also going to be a lot of hassle.

  • And so you need to have some really good reason

  • to have chosen Burmese pythons as the model system.

  • In general, these are the model systems that we use

  • in chemical biology laboratories,

  • with the exception of humans down here.

  • I'm just listing this for a point of comparison.

  • Okay, so I will step through each of these and tell you

  • about their properties.

  • Okay? So for example, I've shown you earlier use

  • of this bacteriophage.

  • This is a virus that only effects E. Coli bacteria,

  • hence the name bacteriophage.

  • So it's a virus that eats -- phage means to eat -- bacteria.

  • And this only affects E. Coli.

  • This makes it very convenient for us to use in the laboratory

  • because we don't have to worry about if it "escapes."

  • We don't have to worry about it infecting my co-workers,

  • the graduate students, the post-docs in the lab.

  • Furthermore, it has a very simple genome.

  • It just has 11 genes in its genome.

  • That makes it easy to manipulate.

  • Okay, this reference here is to the picture that I'm showing you

  • and I showed earlier in the class.

  • Okay, it's the lecture on [inaudible].

  • In addition it grows in E. Coli.

  • Let me show you what E. Coli look like.

  • So here are E. Coli next to a red blood cell.

  • Let's see, is this right?

  • No, sorry, this is next to a macrophage.

  • So these are the cells in your immune system that are charged

  • with eating E. Coli, okay, or other foreign invaders.

  • Okay? So each E. Coli is on the order of about one micrometer

  • in scale and each human cell is on the order of 20

  • to 30 microns in scale.

  • Okay, so that gives you kind of an idea

  • and I think this picture dramatically illustrates the

  • relative scale.

  • This makes sense, right?

  • E. Coli are prokaryates.

  • I showed you structures of prokaryates last time.

  • Human cells, of course, are eukaryotic cells.

  • They're a lot more complicated,

  • they have a lot more organelles inside them, et cetera.

  • Okay, so classic experiment in biological history.

  • This was -- this is Griffith at the top --

  • that's Fred Griffith at the top with his dog Bobby.

  • I always like to know the names of scientists' dogs.

  • Fred Griffith learned to recognize R pneumococci

  • and differentiate them from S pneumococci.

  • So R equals rough, S equals smooth.

  • And he found that dead S pneumococci could transform live

  • R. And Avery, this guy down here, working at Rockefeller,

  • showed that if you isolate the DNA

  • from the dead S bacteria it could transform the R bacteria

  • into S. Okay?

  • So, the important idea there is that it showed us

  • that DNA was the hereditary unit of the cell.

  • That DNA was encoding the machines inside the cell

  • that were making the outer surface either smooth or rough.

  • Okay? Sad history here, Fred Griffith died

  • when the Germans were bombing London.

  • He died in the London Blitz.

  • Okay, so E. Coli extensively, extensively used.

  • I showed you a couple of examples,

  • including phage display today.

  • Yeast are used as a model system for a very simple eukaryote --

  • as a -- you know, equivalent to the prokaryotic E. Coli,

  • but very simple to grow,

  • very easy to genetically manipulate, et cetera.

  • As things get more complex we get towards organisms

  • like fruit flies over here.

  • Fruit flies are used extensively in laboratories

  • because they grow quickly and you can do selections for things

  • like morphology, shapes of wings and things like that.

  • But then even more complex traits such as behavior.

  • And I will show you one example of this.

  • This is one of my all- time favorite examples.

  • This is the great Ulrike Heberlein, a professor at UCSF,

  • and in this experiment the Heberlein lab has built an

  • apparatus that they call an inebriometer.

  • Okay, so this looks at drunk fruit flies.

  • Okay, so here's the way this works.

  • This bottle over here contains ethanol

  • and then she pulls a little bit of a vacuum on this

  • so that the vapors -- or she blows the air over the top

  • of this so that vapors of ethanol come off over here.

  • And then she applies a bunch of different fruit fly mutants

  • to the very top of the column.

  • Now when fruit flies land on these cones over here

  • and the cones are made out of like a little wire,

  • the fruit flies grab onto these things.

  • Okay? That's what fruit flies like to do,

  • they like to perch on things.

  • But now they're being washed over with this ethanol vapor.

  • Okay? So the alcohol is coming over them

  • and they're inhaling it.

  • They can't get away.

  • And so as they start to wobble back and forth they fall

  • down to the next cone, and then they grab on again.

  • But then they start wobbling around as they get drunk

  • from the ethanol and they drop down to the next one.

  • Until eventually down here they totally pass out.

  • Now, the wild type fruit fly over here takes 20 minutes

  • to come through this column, whereas there are mutants

  • that the Heberlein laboratory found that only took 10

  • to 15 minutes to get through the column.

  • In other words, those were fruit flies that were getting drunk

  • and passing out faster than the other fruit flies.

  • So the chemical biology part of this experiment would be

  • to understand what genes are involved and then at level

  • of [inaudible] bonds why those genes are making the fruit flies

  • drunk faster.

  • Okay, now I do have one request.

  • Please do not plan your chemical biology proposal using

  • an inebriometer.

  • I have seen every variance of this.

  • With marijuana smoke, with all kinds of, you know,

  • things that cause all kinds of interesting effects.

  • So use any other experiment.

  • But what I like about this is I loved the experimental design.

  • It's very straightforward.

  • Any one of you in this classroom could've invented that

  • and that's what I'm going to be looking for when I look

  • at your proposals later in the quarter.

  • Okay, I'll see you a week from today,

  • back in this lecture hall.

  • We'll be talking about more model systems

  • and then we'll be talking about [inaudible].

  • [ Inaudible Conversations ] ------------------------------8a15c2c9f526--

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