Evidence map›Paper›PMID 28098889›Full record

ArticleMolecular medicine reports2017

IsomiR expression patterns in canonical and Dicer‑independent microRNAs.

Tingming Liang, Jiafeng Yu, Chang Liu, Li Guo

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Tingming LiangJiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Science, Nanjing Normal University, Nanjing, Jiangsu 210023, P.R. China.
Jiafeng YuShandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University, Dezhou, Shandong 253023, P.R. China.
Chang LiuJiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Science, Nanjing Normal University, Nanjing, Jiangsu 210023, P.R. China.
Li GuoDepartment of Bioinformatics, School of Geographic and Biologic Information, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210023, P.R. China.
Nanjing Normal University · CNInstitute of Biophysics · CNNanjing University of Posts and Telecommunications · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple microRNA (miRNA) variants, known as isomiRs, are extensively distributed in miRNA loci and predominantly derive from the alternative cleavage of Drosha/Dicer and 3'addition events. The present study aimed to investigate the expression patterns of multiple isomiRs in typical miRNA and Dicer‑independent miRNA loci by conducting evolutionary and expression analysis using public datasets. Although different miRNA maturation processes exist, multiple isomiRs can be detected by similar expression distributions. However, isomiR expression in Dicer‑independent miRNA loci tends to be at a moderate level, particularly for random distribution in the ends that are split by Dicer in the typical miRNA loci. Compared with the mature miRNA locus (dominant miRNA locus), the non‑dominant miRNA locus indicates an expression distribution similar to that of the Dicer‑independent miRNA locus. These results increase the understanding of multiple isomiRs in the progression of diseases.

Indexed as

TranscriptomeDatabases, Nucleic AcidEvolution, MolecularGene Expression ProfilingGene Expression RegulationGenetic LociHumansMicroRNAsPhylogenyMicroRNAs

Identifiers

PMID28098889
PMCPMC5367367
OpenAlexW2577959603

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.