Evidence map›Paper›PMID 26075215›Full record

ArticleBioMed research international2015

Evolutionary and expression analysis of miR-#-5p and miR-#-3p at the miRNAs/isomiRs levels.

Li Guo, Jiafeng Yu, Hao Yu, Yang Zhao, Shujie Chen, Changqing Xu, Feng Chen

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

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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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  19. Loss of miR-26a-5p promotes proliferation, migration, and invasion in prostate cancer through negatively regulating SERBP1.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

7 authors.

Li GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jiafeng YuShandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
Hao YuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Yang ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Shujie ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Changqing XuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Feng ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We mainly discussed miR-#-5p and miR-#-3p under three aspects: (1) primary evolutionary analysis of human miRNAs; (2) evolutionary analysis of miRNAs from different arms across the typical 10 vertebrates; (3) expression pattern analysis of miRNAs at the miRNA/isomiR levels using public small RNA sequencing datasets. We found that no bias can be detected between the numbers of 5p-miRNA and 3p-miRNA, while miRNAs from miR-#-5p and miR-#-3p show variable nucleotide compositions. IsomiR expression profiles from the two arms are always stable, but isomiR expressions in diseased samples are prone to show larger degree of dispersion. miR-#-5p and miR-#-3p have relative independent evolution/expression patterns and datasets of target mRNAs, which might also contribute to the phenomena of arm selection and/or arm switching. Simultaneously, miRNA/isomiR expression profiles may be regulated via arm selection and/or arm switching, and the dynamic miRNAome and isomiRome will adapt to functional and/or evolutionary pressures. A comprehensive analysis and further experimental study at the miRNA/isomiR levels are quite necessary for miRNA study.

Indexed as

Evolution, MolecularAnimalsDatabases, Nucleic AcidFemaleGene Expression ProfilingGenetic VariationHumansMicroRNAsPhylogenyVertebratesMicroRNAs

Identifiers

PMID26075215
PMCPMC4436453

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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.