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SHORTCUT:


Analysis of large-scale alterations in tumor genomes

May 05, 2006 02:30 PM to 03:30 PM

Speakers:
Raphael, Ben

VMath - The Next Generation for Math Lectures on Streaming Video

Abstract:

Cancer is a disease driven by mutations in the genome that alter the structure, function,
and regulation of genes. These mutations range from single letter changes in the DNA sequence
to more drastic rearrangements, gains, or losses of large pieces of DNA. In some types of cancer
these large-scale alterations are directly implicated in the pathogenesis of cancer and provide
targets for cancer diagnostics and therapeutics.
I will describe computational methods for reconstructing tumor genome architectures and
analyzing rearrangements in tumor genomes at high resolution using a technique called End
Sequence Profiling (ESP). These methods produce a parsimonious sequence of rearrangements
that transform the normal human genome into a tumor genome. Furthermore, computational
analysis of ESP data suggests mechanisms that produce complicated patterns of overlapping
rearrangement and duplication events that are observed in some tumor genomes. Another
experimental technique called array comparative genomic hybridization (aCGH) has become
indispensable in the identification of duplicated and deleted segments of DNA in tumor genomes.
ESP provides an effective complement to aCGH, and I will discuss how to combine data from both
types of experiments to obtain a comprehensive view of tumor genome architecture.

Lecture #12325

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