Evidence map›Paper›PMID 27122658›Full record

ArticleInternational journal of biotechnology

Intersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspective.

B Alex Merrick, Richard S Paules, Raymond R Tice

Abstract read
In one paragraph

Article in International journal of biotechnology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Deep Learning Image Analysis of High-Throughput Toxicology Assay Images.SLAS discovery : advancing life sciences R & D · 2022
    Article
  2. Review
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  6. Article
  7. Review
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  10. Review
  11. Article
  12. Toxicogenomics: A 2020 Vision.Trends in pharmacological sciences · 2019
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors.

B Alex MerrickBiomolecular Screening Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.
Richard S PaulesBiomolecular Screening Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.
Raymond R TiceBiomolecular Screening Branch, Division of the National Toxicology Program, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina, USA.

Funding

Biomolecular Screening and Alternative Approaches for the National Toxicology ProgramZIAES103318 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CASEY, WARREN · 2016 to 2021
$25.0M
Intramural NIH HHS Z99 ES999999
6 · The paper itself

Abstract

Humans are exposed to thousands of chemicals with inadequate toxicological data. Advances in computational toxicology, robotic high throughput screening (HTS), and genome-wide expression have been integrated into the Tox21 program to better predict the toxicological effects of chemicals. Tox21 is a collaboration among US government agencies initiated in 2008 that aims to shift chemical hazard assessment from traditional animal toxicology to target-specific, mechanism-based, biological observations using

Indexed as

high throughput screeningin vitroNextGen sequencingpathwaysroboticsTox21toxicogenomicstoxicology

Identifiers

PMID27122658
PMCPMC4844067

What OpenQuestion holds

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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.