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SUMMARY:Single-cell phenomics reveals behavioural and mechanical heterogen
 eities underpinning migratory activity during mouse anterior patterning   
 - Shankar Srinivas\, Department of Physiology\, Anatomy and Genetics\, Uni
 versity of Oxford  
DTSTART:20221114T143000Z
DTEND:20221114T153000Z
UID:TALK183113@talks.cam.ac.uk
CONTACT:Elena Scarpa
DESCRIPTION:AVE cells show a stereotypic unidirectional migration essentia
 l for correct orientation of the anterior-posterior axis. They migrate wit
 hin a simple epithelium\, but it is unknown how they negotiate their way a
 mongst the surrounding Visceral Endoderm (VE) cells while it remains a mon
 olayer and retains epithelial integrity. It is unclear what the relative c
 ontributions of cell shape changes\, regional differences in proliferation
  rates\, oriented division etc. are to such migration. To address these qu
 estions\, we used lightsheet microscopy to generate a multi-embryo\, singl
 e-cell resolution\, longitudinal dataset of cell behaviour. We developed a
  machine learning based computational pipeline to segment cells and extrac
 t morphological and behavioural parameters of AVE and surrounding VE cells
 . Unbiased clustering of this single-cell ‘phenomic’ dataset reveals c
 onsiderable patterned phenotypic heterogeneity within the VE and AVE and a
  previously unknown behavioural sub-grouping within the AVE. It reveals th
 at while migrating\, AVE cells remain relatively constant in morphology\, 
 do not exchange neighbours and appear crowded\, with a constant relatively
  low apical surface area. In contrast\, VE cells ahead of them become high
 ly elongated\, undergo neighbour exchange and show bilateral polonaise-lik
 e rotational movements. The dataset shows that AVE cells are also characte
 rised by higher levels of apical and junctional F-actin\, suggesting they 
 may be mechanical distinct from surrounding VE cells\, which we verify in 
 mouse embryos using a live tension sensor probe and Fluorescence Lifetime 
 imaging. These data lead us to propose a model whereby AVE migration is fa
 cilitated by an unjamming transition of surrounding VE cells\, while AVE c
 ells themselves remain in a jammed state throughout migration. 
LOCATION:Online
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