Into the multiverse: advances in single-cell multiomic profiling.

Gene Expression Profiling Sequence Analysis, RNA Single-Cell Analysis / methods Transcriptome / genetics

epigenomics genomics multiomics single-cell transcriptomics

Journal

Trends in genetics : TIG

ISSN: 0168-9525

Titre abrégé: Trends Genet

Pays: England

ID NLM: 8507085

Informations de publication

Date de publication:
08 2022

Historique:

received: 28 01 2022

revised: 23 03 2022

accepted: 25 03 2022

pubmed: 11 5 2022

medline: 15 7 2022

entrez: 10 5 2022

Statut: ppublish

Résumé

Single-cell transcriptomic approaches have revolutionised the study of complex biological systems, with the routine measurement of gene expression in thousands of cells enabling construction of whole-organism cell atlases. However, the transcriptome is just one layer amongst many that coordinate to define cell type and state and, ultimately, function. In parallel with the widespread uptake of single-cell RNA-seq (scRNA-seq), there has been a rapid emergence of methods that enable multiomic profiling of individual cells, enabling parallel measurement of intercellular heterogeneity in the genome, epigenome, transcriptome, and proteomes. Linking measurements from each of these layers has the potential to reveal regulatory and functional mechanisms underlying cell behaviour in healthy development and disease.

Identifiants

DOI: 10.1016/j.tig.2022.03.015 PMID: 35537880

pubmed: 35537880

pii: S0168-9525(22)00077-4

doi: 10.1016/j.tig.2022.03.015

pii:

doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng