title: Single-cell pluripotency regulatory networks.
abstract: 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.
authors.affiliation: Centre for Human Development, Stem Cells and Regeneration, University of Southampton, Southampton, UK.|Institute for Life Sciences, University of Southampton, Southampton, UK.
authors.forename: Patrick S
authors.initials: PS
authors.lastname: Stumpf
authors.affiliation: Institute for Life Sciences, University of Southampton, Southampton, UK.|Centre for Biological Sciences, University of Southampton, Southampton, UK.
authors.forename: Rob
authors.initials: R
authors.lastname: Ewing
authors.affiliation: Centre for Human Development, Stem Cells and Regeneration, University of Southampton, Southampton, UK. bdm@soton.ac.uk.|Institute for Life Sciences, University of Southampton, Southampton, UK. bdm@soton.ac.uk.|Department of Mathematics, University of Southampton, Southampton, UK. bdm@soton.ac.uk.
authors.forename: Ben D
authors.initials: BD
authors.lastname: MacArthur
mesh_terms: D000818:Animals; D002454:Cell Differentiation; D065150:Cellular Reprogramming; D053263:Gene Regulatory Networks; D006801:Humans; D053858:Metabolic Networks and Pathways; D039904:Pluripotent Stem Cells / Q000166:cytology* / Q000378:metabolism*; D060066:Protein Interaction Maps; D040901:Proteomics; D015398:Signal Transduction; D059467:Transcriptome
keywords: Cell biology; Cell-to-cell variability; Cellular reprogramming; Controllability of complex networks; Pluripotency; Single-cell networks