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SUMMARY:A google maps for biology: single cell genetic characterization go
 es spatial - Dario Bressan\, University of Cambridge
DTSTART:20180201T131000Z
DTEND:20180201T140000Z
UID:TALK97405@talks.cam.ac.uk
CONTACT:Lorena Escudero
DESCRIPTION:Location matters in biology. Both the inner workings of tissue
 s and organs and their dysregulation\, which leads to disease\, depend on 
 the tight web of relationships between different cell populations\, and o
 n the concerted regulation of their function mediated by genetic and envi
 ronmental effects. In the last 10 years and more\, it has become clear tha
 t many biological phenomena cannot be studied by analyzing cells in bulk a
 nd outside of their natural environment\, but their underlying mechanisms
  can only be mechanistically investigated if observed both at the singl
 e-cell level and in situ. While technologies allowing either the former or
  the latter of these features are now available\, combining both is extrem
 ely challenging\, at least with the throughput necessary to obtain reliabl
 e results.
In our laboratory\, we have recently launched a project\, nam
 ed IMAXT (Imaging and Molecular Annotation of Xenografts and Tumours)\, th
 at aims to produce a comprehensive tri-dimensional map of breast tumours i
 n which each cell is annotated by measuring the expression of hundreds of 
 different genes and proteins. We are doing this by combining several micro
 scope-based techniques with automated image analysis and mass spectrometry
 . The results are used to build an integrated computer model of the tumour
 \, which can be explored using a natural interface in a virtual reality en
 vironment\, literally “immersing oneself” into the tissue and observ
 ing its features. While the project is still in its early phases\, early r
 esults on tumour samples are showing how powerful this method could be no
 t only for cancer biology\, but for many other fields as well\, such as 
 developmental biology.
LOCATION:The Richard King Room\, Darwin College
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