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Embracing systems toxicology at single-cell resolution
Journal article   Peer reviewed

Embracing systems toxicology at single-cell resolution

Qiang Zhang, W. Michael Caudle, Jingbo Pi, Sudin Bhattacharya, Melvin E. Andersen, Norbert E. Kaminski and Rory B. Conolly
Current opinion in toxicology, Vol.16, pp.49-57
08/2019
DOI: 10.1016/j.cotox.2019.04.003
PMCID: PMC6876623
PMID: 31768481
url
https://www.ncbi.nlm.nih.gov/pmc/articles/6876623View
Open Access

Abstract

As systems biology expands its multi-omic spectrum to increasing resolutions, distinguishing cells based on single-cell profiles becomes feasible. Unlike traditional bulk assays that average cellular responses and blur the distinct identities of responsive cells, single-cell technologies enable sensitive detection of small cellular changes and precise identification of those cells perturbed by toxicants. Among the suite of omic technologies that continue to expand and become affordable, single-cell RNA sequencing is at the cutting edge and leading the way to transform systems toxicology. Single-cell systems toxicology can provide a wealth of information to elucidate cell-specific alterations and response trajectories, detect points of departure, and map and develop dynamical models of toxicity pathways.
Bulk assay Computational toxicology Machine learning Single-cell RNA sequencing Systems toxicology Transcriptomics

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