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Jennifer Doudna (UC Berkeley %2F HHMI)- Genome Engineering with CRISPR-Cas9 - Contenido educativo

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Subido el 26 de diciembre de 2021 por Francisco J. M.

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Hi, my name is Jennifer Doudna from UC Berkeley, and I'm here today to tell you about how we 00:00:07
uncovered a new genome engineering technology. 00:00:12
This story starts with a bacterial immune system. 00:00:15
That means understanding how bacteria fight off a viral infection. 00:00:20
It turns out that a lot of bacteria have in their chromosome, which is what you're looking 00:00:25
we're looking at here, a sequence of repeats, shown in these black diamonds, that are interspaced 00:00:31
with sequences that are derived from viruses. 00:00:39
And these had been noticed by microbiologists who were sequencing bacterial genomes, but 00:00:44
nobody knew what the function of these sequences might be until it was noticed that they tend 00:00:50
also occur with a series of genes that often encode proteins that have homology to enzymes 00:00:57
that do interesting things like DNA repair. 00:01:07
So it was a hypothesis that this system, which came to be called CRISPR, which is an acronym 00:01:11
for this type of repetitive locus, that these CRISPR systems could actually be an acquired 00:01:17
immune system in bacteria that might allow sequences to be integrated from viruses, and 00:01:24
then somehow used later to protect the cell from an infection with that same virus. 00:01:31
So, this was an interesting hypothesis, and we got involved in studying this in the mid-2000s, 00:01:37
right after the publication of three papers that pointed out the incorporation of viral 00:01:43
sequences into these genomic loci. 00:01:49
And so what emerged over the next several years was that, in fact, these CRISPR systems 00:01:52
really are acquired immune systems in bacteria. 00:01:58
So, until this point, no one knew that bacteria could actually have a way to adapt to viruses 00:02:01
that get into the cell. 00:02:09
But this is a way that they do it. 00:02:11
And it involves detecting foreign DNA that gets injected, like shown in this example, 00:02:12
from a virus that gets into the cell, 00:02:18
the CRISPR system allows 00:02:21
integration of short pieces 00:02:24
of those viral DNA molecules 00:02:27
into the CRISPR locus. 00:02:29
And then in the second step 00:02:31
that's shown here as CRISPR RNA biogenesis, 00:02:34
these CRISPR sequences 00:02:39
are actually transcribed in the cell 00:02:40
into pieces of RNA 00:02:43
that are subsequently used together with proteins encoded by the Cas genes, 00:02:45
these CRISPR-associated genes, to form interfering or interference complexes 00:02:52
that can use the information in the form of these RNA molecules 00:02:58
to base pair with matching sequences in viral DNA. 00:03:03
So, a very nifty way that bacteria have come up with to take their invaders 00:03:07
and turn the sequence information against them. 00:03:13
So, in my own laboratory, we have been very interested for a long time 00:03:17
in understanding how RNA molecules are used to help cells to figure out how to regulate 00:03:23
the expression of proteins from the genome. 00:03:32
And so this seemed like also a very interesting example of this. 00:03:35
And so we started studying the basic molecular mechanisms by which this pathway operates. 00:03:39
And in 2011, I went to a scientific conference and I met a colleague of mine, Emmanuelle Charpentier, 00:03:45
who is shown in this picture on the far left. 00:03:53
And Emmanuelle's lab works on microbiology problems, and they're particularly interested 00:03:57
in bacteria that are human pathogens. 00:04:03
She was studying an organism called Streptococcus pyogenes, which is a bacterium that can cause 00:04:06
very severe infections in humans. 00:04:12
And what was curious in this bug was that it has a CRISPR system, and in that organism 00:04:15
there was a single gene encoding a protein known as Cas9 that had been shown genetically 00:04:19
to be required for function of the CRISPR system in Streptococcus pyogenes. 00:04:25
But nobody knew at the time what the function of that protein was. 00:04:31
And so we got together and recruited people from our respective research labs to start 00:04:35
testing the function of Cas9, and so the key people in the project are shown here in the 00:04:42
photograph. 00:04:47
In the center is Martin Yinek, who was a postdoctoral associate in my own lab, and next to him in 00:04:48
the blue shirt is Krzysztof Czajlinski, who was a student in Emanuel's lab. 00:04:54
And so these two guys, together with Inez Fanfara, who's on the far right, a postdoc 00:04:59
with Immanuel began doing experiments across the Atlantic and sharing their data. 00:05:03
And what they figured out was that Cas9 is actually a fascinating protein that has the 00:05:11
ability to interact with DNA and generate a double-stranded break in DNA at sequences 00:05:17
that match the sequence in a guide RNA, and in this slide what you're seeing is the guide 00:05:24
the guide RNA and the sequence of the guide in orange that base pairs with one strand 00:05:29
of the double helical DNA, and, very importantly, this RNA interacts with a second RNA molecule 00:05:35
called tracer that forms a structure that recruits the Cas9 protein. 00:05:43
So, those two RNAs and the single protein in nature are what are required for this protein 00:05:48
recognize what would normally be viral DNAs in the cell, and the protein is able to cut 00:05:55
these up, literally, by breaking up the double helical DNA. 00:06:02
And so, when we figured this out, we thought, wouldn't it be amazing if we could actually 00:06:07
generate a simpler system than nature has done by linking together these two RNA molecules 00:06:13
to generate a system that would be a single protein and a single guiding RNA. 00:06:18
And so the idea was to basically take these two RNAs that you see on the far side of the slide 00:06:23
and then basically link them together to create what we call a single guide RNA. 00:06:31
And so Martin Jinek in the lab made that construct and we did an experiment, 00:06:37
a very simple experiment, to test whether we truly had a programmable DNA cleaving enzyme. 00:06:44
And the idea was to generate short, single guide RNAs that recognize different sites 00:06:50
in a DNA molecule, this circular DNA molecule that you see here. 00:06:56
And the guide RNAs were designed to recognize the sequences shown by the red bars in the 00:07:01
slide. 00:07:08
And the experiment was then to take that plasmid, that circular DNA molecule, and incubate it 00:07:08
with two different restriction or cutting enzymes. 00:07:15
one called SAL1, which cuts the DNA sort of upstream at the far end of the DNA in this picture, 00:07:19
in the gray box, and the second site being directed by the RNA-guided Cas9 at these different sites, 00:07:27
shown in red. 00:07:35
And a very simple experiment, we did this incubation reaction with plasmid DNA, 00:07:37
and this is the result. 00:07:43
This is... what you're looking at is an agarose gel that allows us to separate the cleaved 00:07:45
molecules of DNA, and what you can see is that in each of these reaction lanes we get 00:07:50
a different sized DNA molecule released from this doubly digested plasmid that... in which 00:07:55
the size of the DNA corresponds to cleavage at the different sites directed by these guide 00:08:02
RNA sequences indicated in red. 00:08:08
So this was a really exciting moment, actually. 00:08:11
So, it was a very simple experiment that was kind of an a-ha moment when we said we really 00:08:14
have a programmable DNA-cutting enzyme and we can program it with a short piece of RNA 00:08:19
to cleave essentially any double-stranded DNA sequence. 00:08:26
So, the reason we were so excited about an enzyme that could be programmed to generate 00:08:30
double-stranded DNA breaks at any sequence is because there was a long-standing set of 00:08:36
in the scientific community that showed that cells have ways of repairing double-stranded 00:08:43
DNA breaks that lead to changes in the genomic information in the DNA. 00:08:49
And these... so this is a slide that just shows that after a double-stranded break is 00:08:56
generated by any kind of enzyme that might do this, including the Cas9 system, those 00:09:01
So, these two-stranded breaks in a cell are detected and repaired by two types of pathways, 00:09:08
one on the left-hand side that involves non-homologous end-joining, in which the ends of the DNA are 00:09:15
chemically ligated back together, usually with the introduction of a small insertion 00:09:24
or deletion at the site of the break, and then on the right-hand side is another way 00:09:30
a homology-directed repair in which a donor DNA molecule that has sequences that match 00:09:35
those flanking the site of the double-stranded break can be integrated into the genome at 00:09:44
the site of the break to introduce new genetic information to the genome. 00:09:51
And so this had given many scientists the idea that if there were a tool or a technology 00:09:56
that allowed scientists or researchers 00:10:03
to introduce double-stranded breaks 00:10:06
at targeted sites in the DNA of a cell, 00:10:08
then together with all of the genome sequencing data 00:10:12
that are now available, 00:10:15
where we know the whole genetic sequence in a cell, 00:10:16
and if you knew where a mutation occurred 00:10:19
that causes a disease, for example, 00:10:22
you could actually use a technology like this 00:10:24
to introduce DNA that would fix a mutation 00:10:28
or generate a mutation that you might like to study in a research setting. 00:10:32
So, the power of this technology is really the idea that we can now generate these types 00:10:36
of double-stranded breaks at sites that we choose, as scientists, by programming Cas9, 00:10:43
and then allow the cell to make repairs that introduce genomic changes at the sites of 00:10:49
these breaks. 00:10:55
But, the challenge was how to generate the breaks in the first place. 00:10:56
And so a number of different strategies had been produced for doing this in different labs. 00:11:00
Most of them, and I'm going to show two specific examples here, 00:11:07
one called zinc finger nucleases and the other TAL effector domains, 00:11:12
these are both programmable ways to generate double-stranded breaks in DNA 00:11:16
that rely on protein-based recognition of DNA sequences. 00:11:21
So, these are proteins that are modular and can be generated in different combinations 00:11:26
of modules to recognize different DNA sequences, requiring... so, it works as a technology, 00:11:31
but it requires a lot of protein engineering to do so. 00:11:38
And what's really exciting about this CRISPR Cas9 enzyme is that it's an RNA-programmed 00:11:42
protein. 00:11:49
So, a single protein can be used for any site of DNA where we would like to generate a break 00:11:50
by simply changing the sequence of the guide RNA associated with Cas9. 00:11:57
So, instead of relying on protein-based recognition of DNA, we're relying on RNA-based recognition 00:12:01
of DNA, as shown at the bottom. 00:12:08
And so what this means is that it's just a system that is simple enough to use that anybody 00:12:10
with basic molecular biology training 00:12:17
can take advantage of this system 00:12:20
to do genome engineering. 00:12:22
And so, this is a tool, then, 00:12:24
that really, I think, fills out 00:12:26
an essential, previously missing component 00:12:30
of what we could call biology's IT toolbox, 00:12:33
that includes not only the ability to sequence DNA 00:12:36
and look at its structure, 00:12:39
we know about the double helix since the 1950s, 00:12:41
and then, in the last few decades, 00:12:44
it's also possible to use enzymes like restriction enzymes 00:12:46
and the polymerase chain reaction 00:12:49
to isolate and amplify particular segments of DNA. 00:12:51
And now, with Cas9, 00:12:55
we have a technology that enables facile genome engineering 00:12:57
that is, you know, available to labs around the world 00:13:01
for experiments that they might want to do. 00:13:04
And so this is a summary of this... 00:13:07
of the technology. 00:13:10
It's a two-component system. 00:13:12
RNA-DNA base pairing for recognition, 00:13:14
and very importantly, 00:13:16
because of the way that this system works, 00:13:18
it's actually quite straightforward 00:13:20
to do something called multiplexing, 00:13:22
which means we can program Cas9 00:13:25
with multiple different guide RNAs 00:13:27
in the same cell 00:13:29
to generate multiple breaks 00:13:30
and do things like cut out 00:13:32
large segments of a chromosome 00:13:34
and simply delete them 00:13:35
in one experiment. 00:13:37
And so this has led to a real explosion 00:13:40
in the field of biology and genetics, 00:13:43
with many labs around the world 00:13:46
adopting this technology 00:13:49
for all sorts of very interesting 00:13:50
and creative kinds of applications. 00:13:52
And this is a slide that's actually 00:13:54
almost out of date now, 00:13:56
but just to give you a sense 00:13:57
of the way that the field 00:13:58
has really taken off. 00:14:01
So, we published our original work 00:14:02
on Cas9 in 2012, 00:14:04
and up until that point 00:14:07
there was very little research 00:14:08
going on on CRISPR biology anywhere. 00:14:09
It's a very small field, and then you can see that starting in 2013 and extending until 00:14:12
now, there's just been this incredible explosion in publications from labs that are using this 00:14:17
as a genome engineering technology. 00:14:23
So it's been really very exciting for me as a basic scientist to see what started as a 00:14:25
fundamental research project turn into a technology that turns out to be very enabling for all 00:14:31
sorts of exciting experiments. 00:14:36
And I just wanted to close by sharing with you a few things that are going on using this 00:14:38
technology. 00:14:45
So, of course, on the left-hand side, lots of basic biology that can be done now with 00:14:46
the engineering of model organisms and different kinds of cell lines that are cultured in the 00:14:51
laboratory to study the behavior of cells, but also in biotechnology, being able to do... 00:14:57
to make targeted changes in plants and various kinds of fungi that could be very useful for 00:15:03
different sorts of industrial applications, and then of course in biomedicine with lots 00:15:08
of interest in the potential to use this technology as a tool for, you know, really coming up 00:15:13
with novel therapies for human disease I think is something that's very exciting and is really 00:15:21
something that's on the horizon already. 00:15:26
And then this slide just really indicates where I think we're going to see this going 00:15:29
in the future with a lot of interesting and creative kinds of directions that are coming 00:15:34
along in different labs, both in academic research laboratories, but also increasingly 00:15:40
in commercial labs that are going to enable the use of this technology for all sorts of 00:15:46
applications that we, many of which we couldn't have even imagined even two years ago. 00:15:53
So very exciting. 00:15:57
And I want to just acknowledge a great team of people that have been involved in working 00:15:59
on the project with me, and we've had the, you know, terrific financial support from 00:16:06
various groups as well, and it's been a pleasure to share this with you. 00:16:10
Thank you. 00:16:14
Subido por:
Francisco J. M.
Licencia:
Reconocimiento - No comercial - Compartir igual
Visualizaciones:
63
Fecha:
26 de diciembre de 2021 - 13:39
Visibilidad:
URL
Centro:
IES ALPAJÉS
Duración:
16′ 42″
Relación de aspecto:
1.78:1
Resolución:
1280x720 píxeles
Tamaño:
109.35 MBytes

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