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

Commun Biol

Australian Regenerative Medicine Institute and Systems Biology Institute, Monash University, Clayton, VIC, Australia.

Published: October 2020

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584572PMC
http://dx.doi.org/10.1038/s42003-020-01341-1DOI Listing

Publication Analysis

Top Keywords

gene expression
16
expression
6
whole-mount single-cell
4
single-cell spatial
4
spatial assessment
4
gene
4
assessment gene
4
expression unravelling
4
unravelling spatio-temporal
4
spatio-temporal patterns
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!