Evidence map›Paper›PMID 21614174›Full record

ReviewInternational journal of molecular sciences2010

Functional toxicogenomics: mechanism-centered toxicology.

Matthew North, Chris D Vulpe

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2010. 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. Article
  2. Article
  3. From vision toward best practices: EvaluatingFrontiers in toxicology · 2023
    Article
  4. Article
  5. Article
  6. The EDCMET Project: Metabolic Effects of Endocrine Disruptors.International journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Emerging approaches in predictive toxicology.Environmental and molecular mutagenesis · 2014
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  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

2 authors.

Matthew NorthDepartment of Nutritional Science and Toxicology, University of California Berkeley, Berkeley, California 94720, USA; E-Mail: mnorth@berkeley.edu.
Chris D Vulpe

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

Traditional toxicity testing using animal models is slow, low capacity, expensive and assesses a limited number of endpoints. Such approaches are inadequate to deal with the increasingly large number of compounds found in the environment for which there are no toxicity data. Mechanism-centered high-throughput testing represents an alternative approach to meet this pressing need but is limited by our current understanding of toxicity pathways. Functional toxicogenomics, the global study of the biological function of genes on the modulation of the toxic effect of a compound, can play an important role in identifying the essential cellular components and pathways involved in toxicity response. The combination of the identification of fundamental toxicity pathways and mechanism-centered targeted assays represents an integrated approach to advance molecular toxicology to meet the challenges of toxicity testing in the 21(st) century.

Indexed as

AnimalsHumansToxicogeneticsbarcodingfunctional toxicogenomicstoxicity pathwaystoxicity testingyeast

Identifiers

PMID21614174
PMCPMC3100848

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.