Uniting disparate fields to explore transcription factor binding dynamics

Princeton University, Princeton NJ

Investigators

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Abstract

DESCRIPTION (provided by applicant): The information stored in the DNA of every living thing must be read and interpreted, and this is accomplished chiefly by proteins. One class of regulatory proteins control the transcription of DNA into messenger RNAs, which are then translated into structural proteins and enzymes. Defects in the ability to properly regulate transcription are at the foundation of many human diseases, with some, such as cancer and many aging-related maladies, very clearly rooted in genomic dysfunction. To take part in development and to respond to their environment, cells respond extremely rapidly to their surroundings, in part by enacting specific transcriptional responses. Therefore transcriptional regulation is by necessity a fundamentally dynamic process. However, almost everything we know about the mechanisms underlying transcriptional regulation are derived from static assays like footprinting or Chromatin Immunoprecipitation (ChIP). The major thrust of this grant is to combine elements from distinct disciplines to explore in vivo binding dynamics, a fundamental parameter that is lost completely in standard ChIP experiments. We aim to (1) measure transcription factor binding dynamics for nearly every transcription factor in yeast, each at every position the genome simultaneously, (2) to create experimental systems in yeast amenable to both FRAP and sequential ChIP experiments, so that we and other expert laboratories can use their methods on the exact same system, and (3) to measure purified transcription factor targeting and dynamics on reconstituted chromatin templates. We can then use these systems to test specific hypotheses regarding competition between chromatin components and transcription factors, to test the biological function of turnover in regulating transcription, and to determine the cellular components required for proper regulation of turnover dynamics.