Evidence map›Paper›PMID 18559280›Full record

ArticleToxicology and applied pharmacology2008

Expression profiling of interindividual variability following xenobiotic exposures in primary human hepatocyte cultures.

Katy M O Goyak, Mary C Johnson, Stephen C Strom, Curtis J Omiecinski

Abstract read
In one paragraph

Article in Toxicology and applied pharmacology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Through the Looking Glass:Applied in vitro toxicology · 2018
    Review
  5. Article
  6. Article
  7. Evaluation of a novel PXR-knockout in HepaRGPharmacology research & perspectives · 2016
    Article
  8. Article
  9. Article
  10. Article
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  12. Article
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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

4 authors.

Katy M O GoyakDepartment of Veterinary and Biomedical Sciences, Penn State University, University Park, PA 16802, USA.
Mary C Johnson
Stephen C Strom
Curtis J Omiecinski

Funding

The FHCRC/UW Toxicogenomics ConsortiumU19ES011387 · NIEHS · UNIVERSITY OF WASHINGTON · PI ZARBL, HELMUT · 2001 to 2006
$7.7M
Targeting Dynamics of CAR and PXR in the Mouse and Human GenomesR01GM066411 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI OMIECINSKI, CURTIS J · 2002 to 2017
$4.5M
NIEHS NIH HHS U19 ES011387NIEHS NIH HHS U19 ES11387NIGMS NIH HHS GM66411NIGMS NIH HHS R01 GM066411
6 · The paper itself

Abstract

To examine the magnitude of human variability across the entire transcriptome after chemical challenge, we profiled gene expression responses to three different prototypic chemical inducers in primary human hepatocyte cultures from ten independent donors. Correlation between basal expression in any two hepatocyte donors ranged from r(2) values of 0.967 to 0.857, and chemical treatment tended to negatively impact correlation between donors. Including anticipated target genes, 10,812, 8373, and 7847 genes were changed in at least one donor by Aroclor 1254 (A1254), di(2-ethylhexyl) phthalate (DEHP), and phenobarbital (PB), respectively. A subset of these gene targets (n=41) were altered with a high level of reproducibility in at least 9 donors, gene responses that correlated well with literature-reported mechanism of action. Filtering responses to the level of gene subsets clarified the biological impact associated with the respective chemical effectors, in lieu of substantial interindividual variation among donor responses. In these respects, the use of hierarchical clustering methods successfully grouped seven of the ten donors into chemical-specific rather than donor-specific clusters. However, at the whole-genome level, the magnitude of conserved gene expression changes among donors was surprisingly small, with fewer than 50% of the gene responses altered by a single chemical conserved in more than one donor. The use of higher level descriptors, such as those defined by the PANTHER classification system, may enable more consistent categorization of gene expression changes across individuals, as increased reproducibility was identified using this method.

Indexed as

Cells, CulturedChlorodiphenyl (54% Chlorine)Diethylhexyl PhthalateGene Expression ProfilingGene Expression RegulationGenome, HumanHepatocytesHumansPhenobarbitalReproducibility of ResultsXenobioticsChlorodiphenyl (54% Chlorine)Diethylhexyl PhthalatePhenobarbitalXenobiotics

Identifiers

PMID18559280
PMCPMC2610447

What OpenQuestion holds

Textmetadata
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.