Evidence map›Paper›PMID 28203094›Full record

ArticleAdvances and applications in bioinformatics and chemistry : AABC2017

Mapping circulating serum miRNAs to their immune-related target mRNAs.

Bakhtiyor Nosirov, Joël Billaud, Alexis Vandenbon, Diego Diez, Edward Wijaya, Ken J Ishii, Shunsuke Teraguchi, Daron M Standley

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Article in Advances and applications in bioinformatics and chemistry : AABC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Bakhtiyor NosirovSystems Immunology Lab.
Joël BillaudSystems Immunology Lab.
Alexis VandenbonImmuno-Genomics Research Unit.
Diego DiezQuantitative Immunology Research Unit.
Edward WijayaSystems Immunology Lab.
Ken J IshiiLaboratory of Vaccine Science, WPI Immunology Frontier Research Center, Osaka University, Suita; Laboratory of Adjuvant Innovation, National Institute of Biomedical Innovation, Osaka.
Shunsuke TeraguchiQuantitative Immunology Research Unit.
Daron M StandleySystems Immunology Lab; Lab of Integrated Biological Information, Institute for Virus Research Kyoto University, Kyoto, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEvidence suggests that circulating serum microRNAs (miRNAs) might preferentially target immune-related mRNAs. If this were the case, we hypothesized that immune-related mRNAs would have more predicted serum miRNA binding sites than other mRNAs and, reciprocally, that serum miRNAs would have more immune-related mRNA targets than non-serum miRNAs. MATERIALS AND

methodsWe developed a consensus target predictor using the random forest framework and calculated the number of predicted miRNA-mRNA interactions in various subsets of miRNAs (serum, non-serum) and mRNAs (immune related, nonimmune related).

resultsImmune-related mRNAs were predicted to be targeted by serum miRNA more than other mRNAs. Moreover, serum miRNAs were predicted to target many more immune-related mRNA targets than non-serum miRNAs; however, these two biases in immune-related mRNAs and serum miRNAs appear to be completely independent.

conclusionImmune-related mRNAs have more miRNA binding sites in general, not just for serum miRNAs; likewise, serum miRNAs target many more mRNAs than non-serum miRNAs overall, regardless of whether they are immune related or not. Nevertheless, these two independent phenomena result in a significantly larger number of predicted serum miRNA-immune mRNA interactions than would be expected by chance.

Indexed as

biomarkerposttranscriptional regulationrandom foresttarget prediction

Identifiers

PMID28203094
PMCPMC5295801

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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.