Contributions of Single‐Cell Approaches for Probing Heterogeneity and Dynamics of Neural Progenitors Throughout Life: Concise Review. (20th August 2019)

• Record Type: Journal Article
• Authors: Marcy, Guillaume; Raineteau, Olivier
• Is Part Of: Stem cells. Volume 37:Number 11(2019)
• Page Start: 1381
• Page End: 1388
• Publication Date: 2019-08-20
• Subjects: Clonal assays -- Developmental biology -- Neural stem cells -- Gene expression -- Progenitor cells -- In vivo tracking -- Nervous system -- Neural differentiation; Cloning -- Periodicals; Clone cells -- Periodicals; Stem cells -- Periodicals; Cell Differentiation -- Periodicals; Cell Division -- Periodicals; Clone Cells -- Periodicals; Hematopoietic Stem Cells -- Periodicals; Stem Cells -- Periodicals; 571.84
• DOI: 10.1002/stem.3071
• Languages: English
• ISSNs: 1066-5099

Abstract

Abstract: Development of the forebrain occurs in a stepwise manner from a pool of neural progenitors (NPs), which differs over space and time to produce distinct progenies. The sequence of events leading to the generation of the exquisite complexity of cell types that compose this tissue has been described in great detail at the population level. Recent advances in histology and transcriptomics have allowed probing spatial and temporal heterogeneity and dynamics of NPs at the single‐cell level. Clonal fate mapping studies highlight a deterministic behavior as well as the existence of trajectories in the lineage progression of prenatal and postnatal NPs, whereas single‐cell transcriptomic studies shed new light on the transcriptional signatures of these processes. Here, we review this recent work and integrate it to our current understanding of forebrain germinal activity at prenatal and postnatal time points.Stem Cells 2019;37:1381–1388 Abstract : Neural stem cells (NSCs) within the periventricular region underline the germinal activity of the forebrain at both pre‐ and post‐natal times. This review summarizes recent contribution of single cell approaches, i.e., clonal fate mapping and single cell transcriptomics, to our understanding of NSCs heterogeneity as well as of their evolving spatial and temporal identities.