Evidence map›Paper›PMID 31768481›Full record

ArticleCurrent opinion in toxicology2019

Embracing Systems Toxicology at Single-Cell Resolution.

Qiang Zhang, W Michael Caudle, Jingbo Pi, Sudin Bhattacharya, Melvin E Andersen, Norbert E Kaminski, Rory B Conolly

Abstract read
In one paragraph

Article in Current opinion in toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. The Exposome and Toxicology: A Win-Win Collaboration.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Review
  13. Article
  14. Article
  15. Review
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Qiang ZhangDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
W Michael CaudleDepartment of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Jingbo PiProgram of Environmental Toxicology, School of Public Health, China Medical University, Shenyang, China.
Sudin BhattacharyaDepartment of Biomedical Engineering, Department of Pharmacology and Toxicology, Center for Research on Ingredient Safety, Institute for Quantitative Health Science and Engineering, and Institute for Integrative Toxicology, Michigan State University, East Lansing, Michigan, USA.
Melvin E AndersenScitoVation LLC, Research Triangle Park, North Carolina, USA.
Norbert E KaminskiDepartments of Pharmacology and Toxicology and Institute for Integrative Toxicology, Michigan State University, East Lansing, Michigan, USA.
Rory B ConollyIntegrated Systems Toxicology Division, National Health and Environmental Effects Research Laboratory, United States Environmental Protection Agency, Durham, North Carolina, USA.

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Timothy R. Zacharewski · 1989 to 2026
$64.9M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
NIEHS NIH HHS P30 ES019776NIEHS NIH HHS P42 ES004911
6 · The paper itself

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 (scRNA-seq) 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, map and develop dynamical models of toxicity pathways.

Indexed as

bulk assaycomputational toxicologymachine learningsingle-cell RNA sequencingsystems toxicologytranscriptomics

Identifiers

PMID31768481
PMCPMC6876623

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.