Michael Brent, PhD, Henry Edwin Sever Professor of Engineering, Washington University School of Medicine, Department of Computer Science and Engineering

Presents: Mapping and modeling transcriptional regulatory networks

Host: Dr. Guoyan Zhao

In person only: Connor Auditorium

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. Indeed, most binding events appear to be non-functional. 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.

Livestream link: https://wustl-hipaa.zoom.us/j/92134502449