Evidence map›Paper›PMID 30453895›Full record

ArticleBMC genomics2018

RATEmiRs: the rat atlas of tissue-specific and enriched miRNAs database.

Pierre R Bushel, Florian Caiment, Han Wu, Raegan O'Lone, Frank Day, John Calley, Aaron Smith, Jianying Li

Abstract read
In one paragraph

Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Effect of Wheat (Balkan medical journal · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Dysfunction of miR-802 in tumors.Journal of clinical laboratory analysis · 2021
    Review
  10. Review
  11. Article
  12. Emerging Role of MiR-192-5p in Human Diseases.Frontiers in pharmacology · 2021
    Review
  13. Review
  14. 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.

Pierre R BushelBiostatistics and Computational Biology Branch, Research Triangle Park, NC, USA. bushel@niehs.nih.gov.ORCID http://orcid.org/0000-0001-5188-8693
Florian CaimentDepartment of Toxicogenomics, Maastricht University, Maastricht, The Netherlands.
Han WuDepartment of Discovery and Development Statistics, Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, Indiana, USA.
Raegan O'LoneHealth and Environmental Sciences Institute, Washington, D.C., USA.
Frank DayOffice of Scientific Computing, National Institute of Environmental Health Sciences,, Reaserch Triangle Park, NC, USA.
John CalleyDepartment of TTX Bioinformatics, Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, Indiana, USA.
Aaron SmithDepartment of Investigative Toxicology, Non-Clinical Safety Assessment and Pathology, Lilly Research Laboratories, Lilly Corporate Center, Indianapolis, Indiana, USA.
Jianying LiMicroarray and Genome Informatics Group, National Institute of Environmental Health Sciences, P.O. Box 12233, Research Triangle Park, NC, 27709, USA.

Funding

Microarray and Genome InformaticsZIAES102345 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI BUSHEL, ROBERT · 2009 to 2021
$10.8M
6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) regulate gene expression and have been targeted as indicators of environmental/toxicologic stressors. Using the data from our deep sequencing of miRNAs in an extensive sampling of rat tissues, we developed a database called RATEmiRs for the Rat Atlas of Tissue-specific and Enriched miRNAs to allow users to dynamically determine mature-, iso- and pre-miR expression abundance, enrichment and specificity in rat tissues and organs.

resultsIllumina sequencing count data from mapped reads and meta data from the miRNA body atlas consisting of 21 and 23 tissues (14 organs) of toxicologic interest from 12 to 13 week old male and female Sprague Dawley rats respectively, were managed in a relational database with a user-friendly query interface. Data-driven pipelines are available to tailor the identification of tissue-enriched (TE) and tissue-specific (TS) miRNAs. Data-driven organ-specific (OS) pipelines reveal miRNAs that are expressed predominately in a given organ. A user-driven approach is also available to assess the tissue expression of user-specified miRNAs. Using one tissue vs other tissues and tissue(s) of an organ vs other organs, we illustrate the utility of RATEmiRs to facilitate the identification of candidate miRNAs. As a use case example, RATEmiRs revealed two TS miRNAs in the liver: rno-miR-122-3p and rno-miR-122-5p. When liver is compared to just the brain tissues for example, rno-miR-192-5p, rno-miR-193-3p, rno-miR-203b-3p, rno-miR-3559-5p, rno-miR-802-3p and rno-miR-802-5p are also detected as abundantly expressed in liver. As another example, 55 miRNAs from the RATEmiRs query of ileum vs brain tissues overlapped with miRNAs identified from the same comparison of tissues in an independent, publicly available dataset of 10 week old male rat microarray data suggesting that these miRNAs are likely not age-specific, platform-specific nor pipeline-dependent. Lastly, we identified 10 miRNAs that have conserved tissue/organ-specific expression between the rat and human species.

conclusionsRATEmiRs provides a new platform for identification of TE, TS and OS miRNAs in a broad array of rat tissues. RATEmiRs is available at: https://www.niehs.nih.gov/ratemirs.

Indexed as

Databases, GeneticGene Expression ProfilingAnimalsBrainFemaleHumansIleumInternetLiverMaleMicroRNAsOligonucleotide Array Sequence AnalysisOrgan SpecificityRats, Sprague-DawleyMicroRNAsDatabasemiRNAOrgan-specificRNA-SeqTissue-enrichedTissue-specific

Identifiers

PMID30453895
PMCPMC6245813

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.