Michael Brent, PhD
Henry Edwin Sever Professor of Engineering
Department of Computer Science & Engineering
Washington University in St. Louis
Department of Genetics
Mapping and Modeling Transcriptional Regulatory Networks
Hosted by: Dr. Guoyan Zhao and Genetics students & postdocs
In-person only: Connor Auditorium (FLTC)
Abstract: Transcription factor (TF) binding locations can be mapped using methods such as ChIP-Seq or Calling Cards and the functional targets of a TF can be identified by perturbing the TF and measuring changes in gene expression. However, it has long been known, across many organisms and datasets, that the agreement between binding locations and perturbation responses is extremely poor. Identifying the direct, functional targets of TFs is essential for understanding how DNA sequence gives rise to phenotypes. In this talk, I will present an integrated analysis of multiple datasets, including new Calling Cards data, to shed light on this discrepancy and propose strategies for predicting perturbation responses from TF binding locations.