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SUMMARY:Network-based approaches towards studying context-specific cell si
 gnalling - Dr Evangelia Petsalaki
DTSTART:20221027T140000Z
DTEND:20221027T150000Z
UID:TALK185003@talks.cam.ac.uk
CONTACT:Sarah Morgan
DESCRIPTION:It is well established that signalling responses happen throug
 h complex networks. However\, most signalling research still uses linear p
 athways as the ground truth. Moreover\, signalling responses are highly de
 pendent on context\, such as tissue type\, genetic background etc and ther
 efore these static pathways are not always suitable. There is also a high 
 bias in the literature towards kinases and pathways for which reagents and
  prior knowledge is readily available. This leaves a huge dark space in ou
 r understanding of cell signalling and significantly hinders studies of it
 s general principles.\n\nOur group uses data-driven and network-based appr
 oaches to understand and describe the organisation principles of cell sign
 alling that allow the diverse and context-specific cell responses and phen
 otypes.\n\nIn this talk I will showcase different network-based methods th
 at we have developed and/or use to extract phenotype-specific networks fro
 m omics data and use it to study different diseases. First\, I will presen
 t a method that combines paired transcriptomics and imaging data to extrac
 t context-specific signalling networks\, with the context in this case cel
 l shape in breast cancer. The method is generalisable to any paired transc
 riptomics/phenotype data\, and I will briefly mention how we have extended
  it to study the disease progression of non-alcoholic fatty liver disease.
  I will finally present a project where we integrated RNAseq\, ATACseq and
  ChIP-seq data to create a network representative of endothelial dysfuncti
 on and performed in silico perturbations to identify potential targets for
  the condition.
LOCATION:Online
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