Subtitles section Play video
[ 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--