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SUMMARY:Single cell whole genome sequencing approaches to model evolution 
 in cancer - Sohrab Shah\, MSKCC
DTSTART:20200204T130000Z
DTEND:20200204T140000Z
UID:TALK132511@talks.cam.ac.uk
CONTACT:Kate Davenport
DESCRIPTION:In this talk I will discuss recent developments in scaled sing
 le cell whole genome sequencing approaches\, enabling granular timeseries 
 observations of cell population dynamics in cancer. Moving through in vitr
 o\, ex vivo and patient regimes\, I will outline how large scale whole gen
 ome sequencing of thousands of cancer cells observed over time coupled wit
 h phylogenetic and fitness modeling leads to statistical frameworks to pre
 dict the fate of clonal populations. The data reveal how segmental aneuplo
 idies and in particular accumulation of high level amplifications associat
 e with increased fitness. Coupled with single cell transcriptome sequencin
 g I will also show how phenotypes of clones with higher fitness can be inf
 erred using joint computational inference techniques to integrate single c
 ell genome and single cell transcriptome sequencing. Finally\, I will outl
 ine progress in deploying single cell techniques to study patient samples 
 in the context of prospective collections and longitudinal monitoring of d
 isease progression.\n\n\n
LOCATION:CRUK CI Lecture Theatre
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