Profiling Cell Signaling Networks at Single-cell Resolution.

Molecular & Cellular Proteomics : MCP
Xiao-Kang Lun, Bernd Bodenmiller

Abstract

Signaling networks process intra- and extracellular information to modulate the functions of a cell. Deregulation of signaling networks results in abnormal cellular physiological states and often drives diseases. Network responses to a stimulus or a drug treatment can be highly heterogeneous across cells in a tissue because of many sources of cellular genetic and non-genetic variance. Signaling network heterogeneity is the key to many biological processes, such as cell differentiation and drug resistance. Only recently, the emergence of multiplexed single-cell measurement technologies has made it possible to evaluate this heterogeneity. In this review, we categorize currently established single-cell signaling network profiling approaches by their methodology, coverage, and application, and we discuss the advantages and limitations of each type of technology. We also describe the available computational tools for network characterization using single-cell data and discuss potential confounding factors that need to be considered in single-cell signaling network analyses.

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Methods Mentioned

BETA
fluorescence imaging
FRET
Flow cytometry
RNA-seq
Fluorescence
single-cell sequencing
chips
Fluorescence resonance
biosensor
biosensors

Software Mentioned

PAINT
DREMI
SABER
Exchange
immune

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