Single-Cell Transcriptomics: A High-Resolution Avenue for Plant Functional Genomics.
cell types
fluorescence-activated cell sorting
plant/root body plan
single-cell RNA-seq
Journal
Trends in plant science
ISSN: 1878-4372
Titre abrégé: Trends Plant Sci
Pays: England
ID NLM: 9890299
Informations de publication
Date de publication:
02 2020
02 2020
Historique:
received:
03
06
2019
revised:
30
09
2019
accepted:
17
10
2019
pubmed:
30
11
2019
medline:
18
3
2020
entrez:
30
11
2019
Statut:
ppublish
Résumé
Plant function is the result of the concerted action of single cells in different tissues. Advances in RNA-seq technologies and tissue processing allow us now to capture transcriptional changes at single-cell resolution. The incredible potential of single-cell RNA-seq lies in the novel ability to study and exploit regulatory processes in complex tissues based on the behaviour of single cells. Importantly, the independence from reporter lines allows the analysis of any given tissue in any plant. While there are challenges associated with the handling and analysis of complex datasets, the opportunities are unique to generate knowledge of tissue functions in unprecedented detail and to facilitate the application of such information by mapping cellular functions and interactions in a plant cell atlas.
Identifiants
pubmed: 31780334
pii: S1360-1385(19)30272-9
doi: 10.1016/j.tplants.2019.10.008
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
186-197Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M017982/1
Pays : United Kingdom
Informations de copyright
Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.