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SUMMARY:Inheritance entropy: A model-independent method to probe the hered
 itary structure of cell lineage trees
DTSTART:20260527T110000Z
DTEND:20260527T130000Z
DTSTAMP:20260603T230600Z
UID:indico-event-9731@indico.fysik.su.se
DESCRIPTION:Speakers: Andrea Cavagna (CNR ISC Rome)\n\nQuantifying the imp
 act of hereditary transmission within lineage trees remains a fundamental 
 challenge universal to a wide array of biological domains. In this talk\, 
 I will introduce and discuss the new concept of inheritance entropy\, a qu
 antity designed to gauge the hereditary structure of inactive cells across
  a lineage. We measured this entropy in 32 human stem cell clonal colonies
 \, obtained from high-definition single-cell lineage tracing experiments\,
  and showed that in the greatest majority of clones the entropy is decisiv
 ely smaller than that of the corresponding non-hereditary ensemble\, hence
  proving that variations in the proliferative power of stem cell lineages 
 are determined by hereditary epigenetic factors that regulate cell-cycle e
 xit.  The method can also be employed to locate the specific node of the 
 tree where a mutation in the probability of inactivity occurs\, together w
 ith a determination of the lag between the mutation ultimately leading to 
 inactivity and its actual expression. This framework can be used to assess
  in a robust\, simple and model-agnostic way the hereditary origin of diff
 erential growth in any type of lineage trees.\n\nhttps://indico.fysik.su.s
 e/event/9731/
LOCATION:Zoom
URL:https://indico.fysik.su.se/event/9731/
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