Event Detail (Archived)
Inferring Gene Regulatory Dynamics from Single-cell Data
- This event already took place in November 2019
- A Level Physics Seminar Room, Room A30, Smith Hall Annex (CRC)
Event Details
- Type
- Center for Studies in Physics and Biology Seminars
- Speaker(s)
-
Erik van Nimwegen, Ph.D., professor, University of Basel
- Speaker bio(s)
-
Erik van Nimwegen plans to discuss a new method for inferring, from scRNA-seq data, transcription regulatory interactions that guide single-cell gene expression trajectories. The method combines three new ideas: First, a scRNA-seq normalization method that rigorously deconvolves sampling noise from true variations in transcription rates. Second, a Bayesian method that infers the 'regulatory states' of each single cell by modeling measured transcription rates in terms of genome-wide computational predictions of transcription factor binding sites. And third, a maximum entropy approach that infers an effective epigenetic landscape that guides the distribution of single cells in the space of regulatory states. Time permitting van Nimwegen will briefly mention his lab's studies on single-cell gene regulation in bacteria using a combination of microfluidics and time-lapse microscopy. These studies highlight how gene regulation is not only strongly coupled to fluctuations in the physiological state of cells but that, by propagation of noise through the regulatory network, expression noise and gene regulation are intimately entangled.
- Open to
- Public
- Contact
- Melanie Lee
- Phone
- (212) 327-8636
- Sponsor
-
Melanie Lee
(212) 327-8636
leem@rockefeller.edu