Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd

Abstract Recent technological developments allow us to measure the status of dozens of proteins in individual cells. This opens the way to understand the heterogeneity of complex multi‐signaling networks across cells and cell types, with important implications to understand and treat diseases such a...

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Bibliographic Details
Main Authors: Attila Gabor, Marco Tognetti, Alice Driessen, Jovan Tanevski, Baosen Guo, Wencai Cao, He Shen, Thomas Yu, Verena Chung, Single Cell Signaling in Breast Cancer DREAM Consortium members, Bernd Bodenmiller, Julio Saez‐Rodriguez
Format: Article
Language:English
Published: Springer Nature 2021-10-01
Series:Molecular Systems Biology
Subjects:
cell signaling
crowdsourcing
mass cytometry
predictive modeling
single cell
Online Access:https://doi.org/10.15252/msb.202110402

Internet

https://doi.org/10.15252/msb.202110402

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