Studying Transcription and Signaling using High-Throughput Data
Prof. Ernest Fraenkel
Massachusetts Institute of Technology
2006. 9. 13
301-421, 11:00-12:00 AM
We are developing approaches that synthesize diverse data to create a systems-level understanding of cellular processes. High-throughput technologies including expression microarrays, genome-wide chromatin immunoprecipitation, proteomics, metabolomics and genetic screens are increasingly being used to study biological systems. However, the data provided by these assays are noisy, and often do not address directly the questions of greatest biological interest. For example, expression data reveal sets of genes that are differentially transcribed in response to a stimulus, but do not reveal the mechanisms by which the stimulus causes the changes. Using novel algorithms to analyze chromatin immunoprecipitation data, we have created the first genome-wide map of the transcriptional regulatory sites for a eukaryote. I will describe how this regulatory map provides a basis for identifying DNA-binding proteins that are the proximal causes for transcriptional changes, and for linking these transcriptional changes to signaling pathways.
This page is
maintained by Ji-seon Yoo (email@example.com).