Cargando…
Cell‐to‐cell and type‐to‐type heterogeneity of signaling networks: insights from the crowd
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 as cancer....
Autores principales: | Gabor, Attila, Tognetti, Marco, Driessen, Alice, Tanevski, Jovan, Guo, Baosen, Cao, Wencai, Shen, He, Yu, Thomas, Chung, Verena, Bodenmiller, Bernd, Saez‐Rodriguez, Julio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8522707/ https://www.ncbi.nlm.nih.gov/pubmed/34661974 http://dx.doi.org/10.15252/msb.202110402 |
Ejemplares similares
-
Explainable multiview framework for dissecting spatial relationships from highly multiplexed data
por: Tanevski, Jovan, et al.
Publicado: (2022) -
Modeling Cell-Cell Interactions from Spatial Molecular Data with Spatial Variance Component Analysis
por: Arnol, Damien, et al.
Publicado: (2019) -
Analysis of the Human Kinome and Phosphatome by Mass Cytometry Reveals Overexpression-Induced Effects on Cancer-Related Signaling
por: Lun, Xiao-Kang, et al.
Publicado: (2019) -
Profiling Cell Signaling Networks at Single-cell Resolution
por: Lun, Xiao-Kang, et al.
Publicado: (2020) -
Learning stochastic process-based models of dynamical systems from knowledge and data
por: Tanevski, Jovan, et al.
Publicado: (2016)