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SUMMARY:End-of-year Biomath Symposium
DESCRIPTION:13:30-14:30 Jeremy Worsfold (UNSW)  – Autocorrelation-Based 
 Inference of Transcription Dynamics via Infinite-Server Queueing Models\n\
 nAbstract:\nLive-cell imaging experiments often track mRNA production usin
 g fluorescently tagged transcripts. To infer the statistics of initiation 
 events\, standard methods assume that transcription has a fixed duration. 
 However\, studies of intron splicing and transcriptional pausing show that
  stochasticity in elongation and termination are often significant and can
 not be ignored. In this talk\, we advocate an alternative approach: fittin
 g directly to the autocorrelation function of the fluorescence intensity s
 ignal. Building on recent links between transcriptional models and infinit
 e‑server queueing systems\, we use theoretical autocorrelation expressio
 ns to infer parameters in models that incorporate stochasticity in both ge
 ne switching and transcription time. This framework provides richer mechan
 istic insight than approaches requiring fixed transcription durations. We 
 illustrate its advantages using recent live‑cell imaging data\, fitting 
 autocorrelations under a delay Telegraph model that includes an additional
  exponential waiting time in the transcription process.\n\n\n14:30-15:00 C
 offee Break\n\n15:00-16:00 Steffen Rulands (LMU Munich)    –  Collect
 ive epigenetic processes in development and ageing\n\nAbstract:\n\nEpigene
 tic modifications of the DNA and chromatin play key roles in development\,
  regeneration and ageing. Experimental breakthroughs in single-cell biolog
 y now allow us to profile the epigenome with unprecedented detail. Drawing
  on these experiments\, I will show how methods from statistical physics c
 an unveil the biophysical principles that govern the time evolution of the
  epigenome. In the first part of my talk\, I will discuss the biophysical 
 processes that underly the formation of the embryonic epigenome and make s
 ense of an unexpected observation of self-similar scaling in DNA methylati
 on. Changes in the epigenome are also tighly related to the progression of
  ageing. In the second part of my talk I will use experiments spanning dif
 ferent temporal scales to show how the time scale of epigenetic ageing der
 ives from the fast molecular processes that maintain the epigenome.\n\n16:
 00-17:00 Fabian Theis (Helmholtz Munich) – Generative Inverse Modeling f
 or Interventional Single-Cell Biology
URL:https://www.imperial.ac.uk/events/211290/end-of-year-biomath-symposium/
DTSTART;TZID=Europe/London:20260706T133000
DTEND;TZID=Europe/London:20260706T170000
LOCATION:145\, Huxley Building\, South Kensington Campus\, Imperial College
  London\, London\, SW7 2AZ\, United Kingdom
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