Emerging Roles of Single-Cell Multi-Omics in Studying Developmental Temporal Patterning.

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_F6A2CEF4CE24
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Emerging Roles of Single-Cell Multi-Omics in Studying Developmental Temporal Patterning.
Journal
International journal of molecular sciences
Author(s)
Lopes A., Magrinelli E., Telley L.
ISSN
1422-0067 (Electronic)
ISSN-L
1422-0067
Publication state
Published
Issued date
11/10/2020
Peer-reviewed
Oui
Volume
21
Number
20
Language
english
Notes
Publication types: Journal Article ; Review
Publication Status: epublish
Abstract
The complexity of brain structure and function is rooted in the precise spatial and temporal regulation of selective developmental events. During neurogenesis, both vertebrates and invertebrates generate a wide variety of specialized cell types through the expansion and specification of a restricted set of neuronal progenitors. Temporal patterning of neural progenitors rests on fine regulation between cell-intrinsic and cell-extrinsic mechanisms. The rapid emergence of high-throughput single-cell technologies combined with elaborate computational analysis has started to provide us with unprecedented biological insights related to temporal patterning in the developing central nervous system (CNS). Here, we present an overview of recent advances in Drosophila and vertebrates, focusing both on cell-intrinsic mechanisms and environmental influences. We then describe the various multi-omics approaches that have strongly contributed to our current understanding and discuss perspectives on the various -omics approaches that hold great potential for the future of temporal patterning research.
Keywords
bioinformatics, central nervous system, development, extrinsic, intrinsic, neural progenitors, neuron, omics, temporal patterning
Pubmed
Web of science
Open Access
Yes
Create date
23/11/2020 18:03
Last modification date
30/04/2021 7:16
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