Evidence map›Paper›PMID 31301674›Full record

ReviewJournal of integrative bioinformatics2019

Non-Coding RNAs and their Integrated Networks.

Peijing Zhang, Wenyi Wu, Qi Chen, Ming Chen

Abstract readReview
In one paragraph

Review in Journal of integrative bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 385 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
385citing papers in PubMed, 5 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

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

385 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Noncoding RNA as potential therapeutics to rescue mitochondrial dysfunction in cardiovascular diseases.American journal of physiology. Heart and circulatory physiology · 2025
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  5. Non-coding rnas in Turner syndrome: a systematic review.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2024
    Pooled it
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325 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Peijing ZhangDepartment of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Wenyi WuDepartment of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Qi ChenDepartment of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.
Ming ChenDepartment of Bioinformatics, State Key Laboratory of Plant Physiology and Biochemistry, College of Life Sciences, Zhejiang University, Hangzhou 310058, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eukaryotic genomes are pervasively transcribed. Besides protein-coding RNAs, there are different types of non-coding RNAs that modulate complex molecular and cellular processes. RNA sequencing technologies and bioinformatics methods greatly promoted the study of ncRNAs, which revealed ncRNAs' essential roles in diverse aspects of biological functions. As important key players in gene regulatory networks, ncRNAs work with other biomolecules, including coding and non-coding RNAs, DNAs and proteins. In this review, we discuss the distinct types of ncRNAs, including housekeeping ncRNAs and regulatory ncRNAs, their versatile functions and interactions, transcription, translation, and modification. Moreover, we summarize the integrated networks of ncRNA interactions, providing a comprehensive landscape of ncRNAs regulatory roles.

Indexed as

Computational BiologyGene Regulatory NetworksRNA, UntranslatedSequence Analysis, RNARNA, UntranslatedceRNA networkintegrated networkncRNA interactionnon-coding RNAregulatory ncRNA

Identifiers

PMID31301674
PMCPMC6798851

What OpenQuestion holds

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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.