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Single‐cell pluripotency regulatory networks
Author(s) -
Stumpf Patrick S.,
Ewing Rob,
MacArthur Ben D.
Publication year - 2016
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.201500528
Subject(s) - biology , induced pluripotent stem cell , gene regulatory network , computational biology , microbiology and biotechnology , regeneration (biology) , proteomics , cell , transcriptome , stem cell , cell fate determination , cellular differentiation , embryonic stem cell , transcription factor , genetics , gene , gene expression
Pluripotent stem cells (PSCs) are a popular model system for investigating development, tissue regeneration, and repair. Although much is known about the molecular mechanisms that regulate the balance between self‐renewal and lineage commitment in PSCs, the spatiotemporal integration of responsive signaling pathways with core transcriptional regulatory networks are complex and only partially understood. Moreover, measurements made on populations of cells reveal only average properties of the underlying regulatory networks, obscuring their fine detail. Here, we discuss the reconstruction of regulatory networks in individual cells using novel single‐cell transcriptomics and proteomics, in order to expand our understanding of the molecular basis of pluripotency, including the role of cell–cell variability within PSC populations, and ways in which networks may be controlled in order to reliably manipulate cell behavior.