Evidence map›Paper›PMID 17329237›Full record

ArticleToxicological sciences : an official journal of the Society of Toxicology2007

Gene expression profiling of extracellular matrix as an effector of human hepatocyte phenotype in primary cell culture.

Jeanine L Page, Mary C Johnson, Katy M Olsavsky, Steven C Strom, Helmut Zarbl, Curtis J Omiecinski

Open access · bronzeAbstract read
In one paragraph

Article in Toxicological sciences : an official journal of the Society of Toxicology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.9field-weighted citation impact, top 7% of its field
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

26 citing papers in PubMed, 74 citations in OpenAlex.

  1. Article
  2. Article
  3. Pattern-recognition-based Sensor Arrays for Cell Characterization: From Materials and Data Analyses to Biomedical Applications.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cell sources for in vitro human liver cell culture models.Experimental biology and medicine (Maywood, N.J.) · 2016
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Multi-species analyses of direct activators of the constitutive androstane receptor.Toxicological sciences : an official journal of the Society of Toxicology · 2011
    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

6 authors at 3 institutions in 1 country.

Jeanine L PageCenter for Molecular Toxicology and Carcinogenesis, Department of Veterinary and Biomedical Sciences, 101 Life Sciences Building, The Pennsylvania State University, University Park, PA 16802, USA.
Mary C Johnson
Katy M Olsavsky
Steven C Strom
Helmut Zarbl
Curtis J Omiecinski
Fred Hutch Cancer Center · USPennsylvania State University · USUniversity of Pittsburgh · US

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
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 P30 ES005022NIEHS NIH HHS U19 ES011387NIEHS NIH HHS U19 ES11387NIGMS NIH HHS GM66411NIGMS NIH HHS R01 GM066411
6 · The paper itself

Abstract

Previously, we demonstrated that primary cultures of rat hepatocytes evidence higher levels of differentiated function when cultured in the presence of a dilute overlay of extracellular matrix (Matrigel). In this investigation, we used DNA microarrays, quantitative RT-PCR, immunoblotting, and cell morphology analyses to evaluate the biological responses imparted by Matrigel overlays on primary cultures of human hepatocytes from five independent donors. Although interindividual variability in responses was evident, our results demonstrated that Matrigel additions typically improved hepatocyte morphology and differentiation character. Results from RNA-profiling experiments indicated that Matrigel additions enhanced hepatocyte RNA expression levels associated with a battery of differentiated features, to levels comparable to those seen in vivo, for genes such as the cytochrome P450s, solute carrier family members, sulfotransferases, certain nuclear transcription factors, and other liver-specific markers, such as albumin, transferrin, and response to the inducer, phenobarbital. In contrast, Matrigel additions were generally associated with reduced RNA expression levels for several cytokeratins, integrins, and a number of stress-related pathways. Decreases in integrin protein expression were similarly detected, although enhanced levels of the gap junction-associated protein, connexin 32, were detected in Matrigel-treated cultures. These data support the concept that ECM functions mechanistically to augment the differentiation character of primary human hepatocytes in culture by mediating a reduction in cellular stress response signaling and by enhancing gap junctional cell-cell communication.

Indexed as

Gene Expression ProfilingBlotting, WesternCell DifferentiationCells, CulturedCluster AnalysisCollagenDNA, ComplementaryDrug CombinationsEnvironmentExtracellular MatrixFocal AdhesionsGene Expression RegulationHepatocytesHumansIntegrinsLamininCollagenDNA, ComplementaryDrug CombinationsIntegrinsLamininmatrigelProteoglycansRNA

Identifiers

PMID17329237
PMCPMC4098128
OpenAlexW2116967325

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.