Evidence map›Paper›PMID 24803669›Full record

ArticleNucleic acids research2014

Wiring miRNAs to pathways: a topological approach to integrate miRNA and mRNA expression profiles.

Enrica Calura, Paolo Martini, Gabriele Sales, Luca Beltrame, Giovanna Chiorino, Maurizio D'Incalci, Sergio Marchini, Chiara Romualdi

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Multi-Omics Model Applied to Cancer Genetics.International journal of molecular sciences · 2021
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. MICRORNA-AUGMENTED PATHWAYS (mirAP) AND THEIR APPLICATIONS TO PATHWAY ANALYSIS AND DISEASE SUBTYPING.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2017
    Article
  18. Article
  19. Article
  20. Review
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.

Enrica CaluraDepartment of Biology, University of Padova, via U. Bassi 58/B, 35121 Padova, Italy.
Paolo MartiniDepartment of Biology, University of Padova, via U. Bassi 58/B, 35121 Padova, Italy.
Gabriele SalesDepartment of Biology, University of Padova, via U. Bassi 58/B, 35121 Padova, Italy.
Luca BeltrameDepartment of Oncology, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", via La Masa 19, 20145 Milan, Italy.
Giovanna ChiorinoCancer Genomics Laboratory, Fondazione Edo ed Elvo Tempia Valenta, via Malta 3, 13900 Biella, Italy.
Maurizio D'IncalciDepartment of Oncology, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", via La Masa 19, 20145 Milan, Italy.
Sergio MarchiniDepartment of Oncology, IRCCS Istituto di Ricerche Farmacologiche "Mario Negri", via La Masa 19, 20145 Milan, Italy.
Chiara RomualdiDepartment of Biology, University of Padova, via U. Bassi 58/B, 35121 Padova, Italy chiara.romualdi@unipd.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The production rate of gene expression data is nothing less than astounding. However, with the benefit of hindsight we can assert that, since we completely ignored the non-coding part of the transcriptome, we spent the last decade to study cell mechanisms having few data in our hands. In this scenario, microRNAs, which are key post-trascriptional regulators, deserve special attention. Given the state of knowledge about their biogenesis, mechanisms of action and the numerous experimentally validated target genes, miRNAs are also gradually appearing in the formal pathway representations such as KEGG and Reactome maps. However, the number of miRNAs annotated in pathway maps are very few and pathway analyses exploiting this new regulatory layer are still lacking. To fill these gaps, we present 'micrographite' a new pipeline to perform topological pathway analysis integrating gene and miRNA expression profiles. Here, micrographite is used to study and dissect the epithelial ovarian cancer gene and miRNA transcriptome defining and validating a new regulatory circuit related to ovarian cancer histotype specificity.

Indexed as

Gene Expression ProfilingGene Regulatory NetworksSoftwareTranscriptomeFemaleHumansMicroRNAsOvarian NeoplasmsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID24803669
PMCPMC4066781

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.