Evidence map›Paper›PMID 21406606›Full record

ArticlePhysiological genomics2011

Integrated microRNA and mRNA expression profiling in a rat colon carcinogenesis model: effect of a chemo-protective diet.

Manasvi S Shah, Scott L Schwartz, Chen Zhao, Laurie A Davidson, Beiyan Zhou, Joanne R Lupton, Ivan Ivanov, Robert S Chapkin

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Physiological genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

37 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. PDE4 subtypes in cancer.Oncogene · 2020
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  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

8 authors at 4 institutions in 3 countries.

Manasvi S ShahProgram in Integrative Nutrition & Complex Diseases, Texas A&M University, College Station, TX, USA.
Scott L Schwartz
Chen Zhao
Laurie A Davidson
Beiyan Zhou
Joanne R Lupton
Ivan Ivanov
Robert S Chapkin
Texas A&M University · USGenetics and Improvement of Fruit and Vegetables · FRIntegrative Medicine Institute · USStatistical Service · CY

Funding

Pilot--Health Science ResearchP30ES009106 · NIEHS · TEXAS A&M UNIVERSITY SYSTEM · PI SAFE, STEPHEN H. · 1998 to 2006
$9.2M
Nutrition, Biostatistics and BioinformaticsR25CA090301 · NCI · TEXAS A&M UNIVERSITY SYSTEM · PI CARROLL, RAYMOND J. · 2001 to 2015
$7.6M
Colonic Cytokinetics and Cell Signaling: Dietary EffectsR01CA059034 · NCI · TEXAS A&M UNIVERSITY SYSTEM · PI CHAPKIN, ROBERT STEPHEN · 1995 to 2012
$3.6M
Gene expression analysis of coding and non-coding RNAs in colon cancer preventionR01CA129444 · NCI · TEXAS A&M UNIVERSITY · PI CHAPKIN, ROBERT STEPHEN · 2007 to 2015
$2.1M
NCI NIH HHS CA-129444NCI NIH HHS CA-59034NCI NIH HHS R25 CA090301NIEHS NIH HHS P30ES-09106
6 · The paper itself

Abstract

We have recently demonstrated that nutritional bioactives (fish oil and pectin) modulate microRNA molecular switches in the colon. Since integrated analysis of microRNA and mRNA expression at an early stage of colon cancer development is lacking, in this study, four computational approaches were utilized to test the hypothesis that microRNAs and their posttranscriptionally regulated mRNA targets, i.e., both total mRNAs and actively translated mRNA transcripts, are differentially modulated by carcinogen and diet treatment. Sprague-Dawley rats were fed diets containing corn oil ± fish oil with pectin ± cellulose and injected with azoxymethane or saline (control). Colonic mucosa was assayed at an early time of cancer progression, and global gene set enrichment analysis was used to obtain those microRNAs significantly enriched by the change in expression of their putative target genes. In addition, cumulative distribution function plots and functional network analyses were used to evaluate the impact of diet and carcinogen combination on mRNA levels induced via microRNA alterations. Finally, linear discriminant analysis was used to identify the best single-, two-, and three-microRNA combinations for classifying dietary effects and colon tumor development. We demonstrate that polysomal profiling is tightly related to microRNA changes when compared with total mRNA profiling. In addition, diet and carcinogen exposure modulated a number of microRNAs (miR-16, miR-19b, miR-21, miR26b, miR27b, miR-93, and miR-203) linked to canonical oncogenic signaling pathways. Complementary gene expression analyses showed that oncogenic PTK2B, PDE4B, and TCF4 were suppressed by the chemoprotective diet at both the mRNA and protein levels.

Indexed as

DietAdenocarcinomaAnimalsChemopreventionColonic NeoplasmsDisease Models, AnimalGene Expression ProfilingGene Expression Regulation, NeoplasticMaleMicroarray AnalysisMicroRNAsRatsRats, Sprague-DawleyRNA, MessengerSystems IntegrationMicroRNAsRNA, Messenger

Identifiers

PMID21406606
PMCPMC3110886
OpenAlexW2123182050

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.