Evidence map›Paper›PMID 25333294›Full record

ArticleMolecular medicine reports2015

Systematic profiling of mRNA and miRNA expression in the pancreatic islets of spontaneously diabetic Goto-Kakizaki rats.

Ling-Qin Zeng, Su-Bi Wei, Yi-Min Sun, Wen-Yan Qin, Jing Cheng, Keith Mitchelson, Lan Xie

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Regulatory Roles of MicroRNAs in Diabetes.International journal of molecular sciences · 2016
    Review
  10. 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

7 authors at 1 institution in 1 country.

Ling-Qin ZengMedical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, P.R. China.
Su-Bi WeiMedical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, P.R. China.
Yi-Min SunNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, P.R. China.
Wen-Yan QinNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, P.R. China.
Jing ChengMedical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, P.R. China.
Keith MitchelsonNational Engineering Research Center for Beijing Biochip Technology, Beijing 102206, P.R. China.
Lan XieMedical Systems Biology Research Center, Tsinghua University School of Medicine, Beijing 100084, P.R. China.
Tsinghua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2DM) is a complex multifactorial metabolic disorder that affects >100 million individuals worldwide, yet the mechanisms involved in the development and progression of the disease have not yet been fully elucidated. The present study examined the mRNA and micro (mi)RNA expression profiles by microarray analysis in the pancreas islets of spontaneously diabetic Goto-Kakizaki rats with the aim to identify regulatory mechanisms underlying the pathogenesis of T2DM. A total of 9 upregulated and 10 downregulated miRNAs were identified, including miR-150, miR-497, miR-344-3p and let-7f, which were independently validated by quantitative polymerase chain reaction assays. In addition, differential expression of 670 genes was detected by mRNA microarray analysis, including 370 upregulated and 247 downregulated genes. The differentially expressed genes were statistically associated with major cellular pathways, including the immune response pathway and the extracellular matrix (ECM)-receptor interaction pathway. Finally, a reverse regulatory association of differentially expressed miRNAs and their predicted target genes was constructed, supported by analysis of their mRNA and miRNA expression profiles. A number of key pairs of miRNA-mRNA was proposed to have significant roles in the pathogenesis of T2DM rats based on bioinformatics analysis, one example being the let-7f/collagen, type II, alpha 1 pair that may regulate ECM-receptor interactions.

Indexed as

Gene Expression ProfilingAnimalsDiabetes Mellitus, Type 2Disease Models, AnimalGene Expression RegulationGene Regulatory NetworksIslets of LangerhansMaleMicroRNAsRatsReproducibility of ResultsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID25333294
PMCPMC4237099
OpenAlexW2056112385

What OpenQuestion holds

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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.