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From whole-mount to single-cell spatial assessment of gene expression in 3D.

Authors :
Waylen LN
Nim HT
Martelotto LG
Ramialison M
Source :
Communications biology [Commun Biol] 2020 Oct 23; Vol. 3 (1), pp. 602. Date of Electronic Publication: 2020 Oct 23.
Publication Year :
2020

Abstract

Unravelling spatio-temporal patterns of gene expression is crucial to understanding core biological principles from embryogenesis to disease. Here we review emerging technologies, providing automated, high-throughput, spatially resolved quantitative gene expression data. Novel techniques expand on current benchmark protocols, expediting their incorporation into ongoing research. These approaches digitally reconstruct patterns of embryonic expression in three dimensions, and have successfully identified novel domains of expression, cell types, and tissue features. Such technologies pave the way for unbiased and exhaustive recapitulation of gene expression levels in spatial and quantitative terms, promoting understanding of the molecular origin of developmental defects, and improving medical diagnostics.

Details

Language :
English
ISSN :
2399-3642
Volume :
3
Issue :
1
Database :
MEDLINE
Journal :
Communications biology
Publication Type :
Academic Journal
Accession number :
33097816
Full Text :
https://doi.org/10.1038/s42003-020-01341-1