Evidence map›Paper›PMID 31838657›Full record

ReviewMolecular biology reports2020

RNA: interactions drive functionalities.

Xiaofeng Dai, Shuo Zhang, Kathia Zaleta-Rivera

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular biology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

36 citing papers in PubMed, 67 citations in OpenAlex.

  1. Review
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  5. Evolution of Engineered ADAR-Based RNA Editing Systems.International journal of molecular sciences · 2026
    Review
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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

3 authors at 2 institutions in 2 countries.

Xiaofeng DaiWuxi School of Medicine, Jiangnan University, Wuxi, China. xiaofeng.dai@jiangnan.edu.cn.ORCID http://orcid.org/0000-0002-0006-4042
Shuo ZhangSchool of Biotechnology, Jiangnan University, Wuxi, China.
Kathia Zaleta-RiveraDepartment of Bioengineering, University of California San Diego, San Diego, USA.
Jiangnan University · CNUniversity of California San Diego · US

Funding

Major Project of Science and Technology in Henan Province 161100311400National Natural Science Foundation of China 81972789National Science and Technology Major project 2018ZX10302205-004-002Natural Science Foundation of Jiangsu Province BK20161130The Major Province of Science and Technology in Henan Province 2018ZX10302-205-004the Six Talent Peaks Project in Jiangsu Province SWYY-128The Technology Development Funding of Wuxi WX18IVJN017
6 · The paper itself

Abstract

RNA is produced from the majority of human genomic sequences, although only a relatively small portion of these transcripts has known functions. Diverse RNA species interact with RNA, DNA, proteins, lipids, and metabolites to form intricate molecular networks. In this review, we attempt to delineate diverse RNA functions by interaction types between RNA and other macromolecules. Through such interactions RNAs participate in essentially every major molecular function and process, including information flow and storage, environment sensing, signal transduction, and gene regulation at transcriptional and posttranscriptional levels. Through such interactions, RNAs promote or inhibit diverse biological processes, and act as catalyzer or quencher to modulate the pace of these progresses. Alterations and personal variations of these interactions are mechanistically coupled with disease etiology and phenotypical variations for clinical use.

Indexed as

AnimalsHumansMacromolecular SubstancesRNASignal TransductionMacromolecular SubstancesRNAFunctionalitiesNon-coding RNARNA interaction

Identifiers

PMID31838657
PMCPMC7089156
OpenAlexW2995753435

What OpenQuestion holds

Textmetadata
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.