Evidence map›Paper›PMID 26732371›Full record

ArticleScientific reports2016

miRNA Digger: a comprehensive pipeline for genome-wide novel miRNA mining.

Lan Yu, Chaogang Shao, Xinghuo Ye, Yijun Meng, Yincong Zhou, Ming Chen

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. An Overview of miRNA and miRNA Target Analysis Tools.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. MicroRNAs Regulating Autophagy in Neurodegeneration.Advances in experimental medicine and biology · 2021
    Article
  8. Article
  9. Article
  10. Review
  11. 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

6 authors at 3 institutions in 1 country.

Lan YuCollege of Life Sciences, Huzhou University, Huzhou 313000, P.R. China.
Chaogang ShaoCollege of Life Sciences, Huzhou University, Huzhou 313000, P.R. China.
Xinghuo YeCollege of Life Sciences, Huzhou University, Huzhou 313000, P.R. China.
Yijun MengCollege of Life and Environmental Sciences, Hangzhou Normal University, Hangzhou 310036, P.R. China.
Yincong ZhouDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, P. R. China.
Ming ChenDepartment of Bioinformatics, College of Life Sciences, Zhejiang University, Hangzhou 310058, P. R. China.
Huzhou University · CNZhejiang University · CNHangzhou Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are important regulators of gene expression. The recent advances in high-throughput sequencing (HTS) technique have greatly facilitated large-scale detection of the miRNAs. However, thoroughly discovery of novel miRNAs from the available HTS data sets remains a major challenge. In this study, we observed that Dicer-mediated cleavage sites for the processing of the miRNA precursors could be mapped by using degradome sequencing data in both animals and plants. In this regard, a novel tool, miRNA Digger, was developed for systematical discovery of miRNA candidates through genome-wide screening of cleavage signals based on degradome sequencing data. To test its sensitivity and reliability, miRNA Digger was applied to discover miRNAs from four organs of Arabidopsis. The results revealed that a majority of already known mature miRNAs along with their miRNA*s expressed in these four organs were successfully recovered. Notably, a total of 30 novel miRNA-miRNA* pairs that have not been registered in miRBase were discovered by miRNA Digger. After target prediction and degradome sequencing data-based validation, eleven miRNA-target interactions involving six of the novel miRNAs were identified. Taken together, miRNA Digger could be applied for sensitive detection of novel miRNAs and it could be freely downloaded from http://www.bioinfolab.cn/miRNA_Digger/index.html.

Indexed as

SoftwareArabidopsisComputational BiologyData MiningDEAD-box RNA HelicasesGenetic LociGenome-Wide Association StudyGenomicsMicroRNAsOrgan SpecificityRibonuclease IIIRNA InterferenceRNA StabilityDEAD-box RNA HelicasesDICER1 protein, humanMicroRNAsRibonuclease III

Identifiers

PMID26732371
PMCPMC4702050
OpenAlexW2226902049

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.