Evidence map›Paper›PMID 33822666›Full record

ArticleRNA biology2021

miRSM: an R package to infer and analyse miRNA sponge modules in heterogeneous data.

Junpeng Zhang, Lin Liu, Taosheng Xu, Wu Zhang, Chunwen Zhao, Sijing Li, Jiuyong Li, Nini Rao, Thuc Duy Le

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in RNA biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  3. Article
  4. Article
  5. 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

9 authors.

Junpeng ZhangCenter for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.ORCID 0000-0001-6127-9701
Lin LiuUniSA STEM, University of South Australia, Mawson Lakes, SA, Australia.
Taosheng XuInstitute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China.
Wu ZhangSchool of Agriculture and Biological Sciences, Dali University, Dali, Yunnan, China.
Chunwen ZhaoSchool of Engineering, Dali University, Dali, Yunnan, China.
Sijing LiSchool of Engineering, Dali University, Dali, Yunnan, China.
Jiuyong LiUniSA STEM, University of South Australia, Mawson Lakes, SA, Australia.
Nini RaoCenter for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Thuc Duy LeUniSA STEM, University of South Australia, Mawson Lakes, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In molecular biology, microRNA (miRNA) sponges are RNA transcripts which compete with other RNA transcripts for binding with miRNAs. Research has shown that miRNA sponges have a fundamental impact on tissue development and disease progression. Generally, to achieve a specific biological function, miRNA sponges tend to form modules or communities in a biological system. Until now, however, there is still a lack of tools to aid researchers to infer and analyse miRNA sponge modules from heterogeneous data. To fill this gap, we develop an R/Bioconductor package,

Indexed as

Gene Expression RegulationGene Regulatory NetworksSoftwareBinding, CompetitiveHumansMicroRNAsRNA, MessengerMicroRNAsRNA, MessengerceRNAlncRNAmiRNAmiRNA sponge modulesmodular analysis

Identifiers

PMID33822666
PMCPMC8632112

What OpenQuestion holds

Textmetadata
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Registered trials

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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.