Berlin 2024 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 26: Focus Session: Inference Methods and Biological Data (German-French Focus Session) (joint session BP/DY)
DY 26.6: Hauptvortrag
Mittwoch, 20. März 2024, 16:45–17:15, H 2032
Bayesian inference of chromatin looping dynamics from live-cell measurements — •Christoph Zechner1, Michele Gabriele2, Hugo B Brandão2, Simon Grosse-Holz2, Asmita Jha2, Gina M Daily3, Claudia Cattoglio3, Tsung-Han Hsieh3, Leonid Mirny2, and Anders S Hansen2 — 1Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany — 2Massachusetts Institute of Technology, Cambridge, USA — 3University of California, Berkeley, Berkeley, USA
Recent live-cell microscopy techniques allow the simultaneous tracking of distal genomic elements, providing unprecedented ways to study chromatin dynamics and gene regulation. However, drawing robust conclusions from such data is statistically challenging due to substantial technical noise, intrinsic fluctuations and limited time-resolution. I will present recent progress we have made in addressing some of these challenges; specifically, we developed a new statistical method to quantify CTCF/cohesin-mediated chromatin looping dynamics from two-point live-cell imaging experiments. The method combines a simple polymer model with a Bayesian filtering approach to infer loop lifetimes and frequencies. Its application to experimental data revealed that chromatin loops are surprisingly rare (~5% looped fraction) and short-lived (~20mins loop lifetime). I will discuss potential implications of these findings and outline future challenges.
Keywords: Statistical inference; chromatin looping; live-cell measurements