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Genomics and the Future of Medicine: Agenda

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Date: Tuesday, October 21, 2008
Time: 6:00pm – 7:30pm
Location:

The Broad Institute of Harvard and MIT
7 Cambridge Center, Cambridge, MA
To see a map, go to http://whereis.mit.edu/map-jpg?selection=NE30

Genomics and the Future of Medicine

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Date: Tuesday, October 21, 2008
Time: 6:00pm – 7:30pm
Location: The Broad Institute of Harvard and MIT 7 Cambridge Center, Cambridge, MA To see a map, go to Broad Institute event registration page by Wednesday, October 15, 2008.

MITES of 2008

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Jacob Austin-Breneman

Jacob Austin-Breneman
New Smyrna Beach, FL - "Working at the Broad has been a wonderful experience. It has shown me what it means to be a research scientist, and how to become one. I have seen scientists in action, and had the chance to perform some of those actions."

Nicole Martinez

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Identification of small molecule ETS transcription factor binders

Mentor: Marius Pop, Cancer Program

The finding of prevalent translocations involving the ETS transcription factors ERG and ETV1 in prostate cancer suggest they are “driver” proteins in this malignancy. However, like many important cancer genes, these transcription factors are deemed “undruggable.” The development of novel approaches to targeting such proteins would be of great interest.

Dominic McDonald

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A genome-wide study of miRNA stability

Mentor: Jun Lu, Cancer Program

MicroRNAs are approximately twenty nucleotide long RNA molecules involved in gene silencing. Because of their gene silencing abilities, they are known to be involved in different biological and disease processes. Cancer is one of the major processes that microRNAs have been linked to.

Eric Delgado

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The contribution of ploidy to functional genomic comparisons in yeasts

Mentor: Dawn Thompson, Regev Lab

Comparative genomics has become an extremely powerful tool for the identification and characterization of large-scale evolutionary events. Fungi, in particular, pose a unique challenge to comparative genomics because of their characteristic preference for one stage in their alternation of generations, either diploid or haploid.

Luke Yancy

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Probing M. Tuberculosis through transcriptomic data

Mentor: Robert Riley, Genome Biology

Christel Chehoud

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Computational analysis of the taxonomical classification of short 165 rRNA sequences

Mentor: Brian Haas, Genome Biology

Diego Borges-Rivera

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Predicting patterns of biological performance using chemical substructure features

Mentor: Joshua Gilbert, Chemical Biology

Cheminformatics has emerged as crucial in a wide variety of applications, from library design to drug synthesis and selection. Drug discovery would be revolutionized if a small preliminary assay could be used to “characterize” the behavior of those small molecules and, using their chemical structure, identify which substructures are predictive of biological performance.

Nicole Windmon

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Diversifying small molecules for drug discovery

Mentor: Ann Kelly, Chemical Biology

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