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SUMMARY:JOINT BRAIN MIND (BMI) & BIOENGINEERING SEMINAR // Simone Codelupp
 i - Spatial Organization of Cell Types in the Mouse Cortex Revealed by Mul
 tiplexed Single-Molecule Fluorescent in situ Hybridization
DTSTART:20190304T140000
DTEND:20190304T150000
DTSTAMP:20260406T171723Z
UID:8b8d57ea8de15c95578ce2c761b4b0285130a9d4b18115c646939acc
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Simone Codeluppi\, Linnarsson Lab\, Laboratory of Molecu
 lar Neurobiology\, Dept. of Medical Biochemistry and Biophysics\, Karolins
 ka Institutet\, Stockholm\, Sweden\nAbstract:\nThe recent developments in 
 single cell transcriptomics enable the unbiased classification of cell typ
 es\, revealing the heterogeneity and complexity of many brain regions. How
 ever\, since single cell RNA sequencing requires tissue dissociation\, the
  spatial information is absent from the generated datasets. Therefore\, wh
 ile the molecular identity of the tissue constituents is known\, it remain
 s poorly understood how all these cell types are spatially organized in th
 e tissue. The aim of this work is to generate a quantitative high resoluti
 on cell-type map of the mouse somatosensory cortex\, hippocampal CA1 and v
 entricle. We applied a cyclic three-target single molecule Fluorescent in 
 situ Hybridization (smFISH) method\, named ouroboros-FISH (oFISH)\, to qua
 ntify the expression level of 33 marker genes in 6\,000 cells. Along with 
 the cell’s position in the tissue\, the molecular identity of each cell 
 was classified based on cell types identified by single cell RNA-seq. Thes
 e quantitative spatial data provide important insights into the abundance\
 , patterning and region specific distribution of cell types. Furthermore\,
  it gives a comprehensive view on complex functional units that involve ma
 ny different cell types\, such as the ones that regulate blood vessels fun
 ction in the brain. This study demonstrates the potential of osmFISH as an
  extremely versatile technique that can reconnect single cell data with th
 e tissue of origin. Moreover\, it can be used to make a quantitative high 
 resolution whole brain cell type maps\, which will be a valuable resource 
 for neuroscience.\n\nBio:\nhttps://www.linkedin.com/in/simonecodeluppi\n 
LOCATION:SV 1717 https://plan.epfl.ch/?room==SV%201717
STATUS:CONFIRMED
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