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Science Slam 2017: Emma Kowal

Emma Kowal from Christopher Burge’s lab spoke about her goals to demystify the ways in which certain noncoding regions of genetic sequence, known as introns, contribute to protein production. Kowal, whose talk was titled “Gone but Not Forgotten: How Do Introns Enhance Gene Expression?” ultimately took home both the audience and jury cash prizes. Watch more videos from MIT Bio: https://www.youtube.com/channel/UC2P3engLHiam5bp2-ZxsUJg The department is home to approximately 180 undergraduates, 200 graduate students, 200 postdoctoral researchers, and more than 60 world-renowned faculty, including: -3 Nobel laureates -30 members of the National Academy of Sciences -15 Howard Hughes Medical Institute (HHMI) investigators -4 recipients of the National Medal of Science We promote a highly collaborative environment that allows for a free exchange of ideas across research areas and academic disciplines. The result is a rigorous, creative, dynamic culture in which scientists and students tackle the important problems and questions in biology and related fields. Our location — at the heart of one of the world’s most important biotech/pharma hubs — creates exciting opportunities for research, employment, and the commercialization of new discoveries. For information on captioning and accessibility at MIT, visit https://accessibility.mit.edu.

MIT Department of Biology

6 years ago

Our next presenter is Emma Kowal. Emma is a graduate student in Chris Burge's lab. She grew up in Toronto and did her undergraduate work in chemical and physical biology at Harvard before crossing vast distances to come to MIT. Her dream was to write science fiction and so she decided she'd better study science so she would know what to write about. The title of Emma's talk is "Gone but not Forgotten: How do Introns Enhance Gene Expression?" Emma. [APPLAUSE] Ask a biologist how cells turn DNA in
to protein and I bet they'll say to you, oh yeah, we know how that works. Imagine you're a cell and I'm your DNA. I'm going to hand you a 10-page instruction manual on how to build some protein. But before I give it to you, I'm going to rip out nine of the pages and say, oh, you actually need that one. That's how human genes work. They synthesize a whole big long message and then throw away most of it before it actually gets to the protein factory, the ribosome. So, now knowing that, imagine I'm
the cell and you're a molecular biologist. Say you want me to make a ton of some protein. Maybe you want to study it. Maybe you want to use it as a drug. What are you going to do? You're going to give me a ton of DNA, right? But hey, you're scientists. You're clever. You're not going to waste your time making that whole big long message when most of it's just going to get thrown away, right? You could just give me the little pieces that go to the ribosome, called the exons, and that should work
, right? Well in that case, I, the cell, would turn around and say, here's your protein, smart ass, and just give you a little bit or sometimes none at all. What's up with that? Well you should have given me the whole gene, because those bits that get cut out, they're called introns. And it turns out that even though they don't contain instructions on how to build a protein, even though they literally get destroyed seconds after they're built in the cell, most genes need at least one intron for
effective protein production. How is this possible? Well that's what I'm going to try and figure out. One question that you might start with is, does it matter what's in the intron? Does the intron sequence matter or is it just ripping something out that's important for the cell? Well now picture two cells. You give them the same gene -- same exons -- two different introns. Cell 1 gets intron A, Cell 2 gets intron B. Who makes more protein? Well people have done this experiment and you know what
they saw? Sometimes it doesn't really matter. Sometimes one intron will give you 500 times more protein than the other. So here's my plan. Instead of two cells, I'm going to take a million cells. I'm going to give them each the same gene with a different intron. A million different introns, each with a unique, randomly generated sequence. Then I'm going to measure and see who makes the most protein and what intron sequences differentiate the strong introns from the weak. Because what I want is
like a Rosetta Stone for the intron code. I want to learn a few words of their language and then use them to ask what introns are up to in the cell. Who are their partners in crime? What mysterious chemistry allows them to speed up production in a factory that they will never touch? Because I think the problem is, we already speak the language of exons. We know the genetic code, how DNA goes to protein, whatever. We think that's the whole story, but we have no idea what those introns might be wh
ispering in the ear of the ribosome long after they're gone. And I think it's about time we started to listen, because I bet they have a lot to say. Thank you. [APPLAUSE]

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