Evidence map›Paper›PMID 30723492›Full record

ArticleFrontiers in genetics2018

Comparison of RNA-Seq and Microarray Gene Expression Platforms for the Toxicogenomic Evaluation of Liver From Short-Term Rat Toxicity Studies.

Mohan S Rao, Terry R Van Vleet, Rita Ciurlionis, Wayne R Buck, Scott W Mittelstadt, Eric A G Blomme, Michael J Liguori

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 4 pooled it
10.1field-weighted citation impact, top 1% 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

136 citing papers in PubMed, 4 syntheses or guidelines pooled it, 263 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Guideline
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  6. Review
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  11. Frontiers in genetics · 2026
    Article
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  15. Article
  16. Infection and immunity · 2025
    Review
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  19. Article
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76 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Mohan S RaoInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
Terry R Van VleetInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
Rita CiurlionisInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
Wayne R BuckInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
Scott W MittelstadtInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
Eric A G BlommeInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
Michael J LiguoriInvestigative Toxicology and Pathology, Global Preclinical Safety, AbbVie, North Chicago, IL, United States.
AbbVie (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression profiling is a useful tool to predict and interrogate mechanisms of toxicity. RNA-Seq technology has emerged as an attractive alternative to traditional microarray platforms for conducting transcriptional profiling. The objective of this work was to compare both transcriptomic platforms to determine whether RNA-Seq offered significant advantages over microarrays for toxicogenomic studies. RNA samples from the livers of rats treated for 5 days with five tool hepatotoxicants (α-naphthylisothiocyanate/ANIT, carbon tetrachloride/CCl

Indexed as

DEGin vivoIPAliver toxicitymicroarraynon-coding transcriptsRNA-Seqtoxicogenomics

Identifiers

PMID30723492
PMCPMC6349826
OpenAlexW2909239315

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.