Evidence map›Paper›PMID 32122231›Full record

ArticleRNA biology2020

ncRPheno: a comprehensive database platform for identification and validation of disease related noncoding RNAs.

Wenliang Zhang, Guocai Yao, Jianbo Wang, Minglei Yang, Jing Wang, Haiyue Zhang, Weizhong Li

Abstract read
In one paragraph

Article in RNA biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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  9. Modeling ncRNA Synergistic Regulation in Cancer.Methods in molecular biology (Clifton, N.J.) · 2025
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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

7 authors.

Wenliang ZhangZhongshan School of Medicine, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0003-0454-6935
Guocai YaoZhongshan School of Medicine, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0002-9869-5124
Jianbo WangZhongshan School of Medicine, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0003-3916-3678
Minglei YangZhongshan School of Medicine, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0001-9957-7608
Jing WangSchool of Data and Computer Science, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0001-7048-3472
Haiyue ZhangZhongshan School of Medicine, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0002-7143-9550
Weizhong LiZhongshan School of Medicine, Sun Yat-sen University , Guangzhou, China.ORCID 0000-0002-9003-7733

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noncoding RNAs (ncRNAs) play critical roles in many critical biological processes and have become a novel class of potential targets and bio-markers for disease diagnosis, therapy, and prognosis. Annotating and analysing ncRNA-disease association data are essential but challenging. Current computational resources lack comprehensive database platforms to consistently interpret and prioritize ncRNA-disease association data for biomedical investigation and application. Here, we present the ncRPheno database platform (http://lilab2.sysu.edu.cn/ncrpheno), which comprehensively integrates and annotates ncRNA-disease association data and provides novel searches, visualizations, and utilities for association identification and validation. ncRPheno contains 482,751 non-redundant associations between 14,494 ncRNAs and 3,210 disease phenotypes across 11 species with supporting evidence in the literature. A scoring model was refined to prioritize the associations based on evidential metrics. Moreover, ncRPheno provides user-friendly web interfaces, novel visualizations, and programmatic access to enable easy exploration, analysis, and utilization of the association data. A case study through ncRPheno demonstrated a comprehensive landscape of ncRNAs dysregulation associated with 22 cancers and uncovered 821 cancer-associated common ncRNAs. As a unique database platform, ncRPheno outperforms the existing similar databases in terms of data coverage and utilities, and it will assist studies in encoding ncRNAs associated with phenotypes ranging from genetic disorders to complex diseases. ABBREVIATIONS: APIs: application programming interfaces; circRNA: circular RNA; ECO: Evidence & Conclusion Ontology; EFO: Experimental Factor Ontology; FDR: false discovery rate; GO: Gene Ontology; GWAS: genome wide association studies; HPO: Human Phenotype Ontology; ICGC: International Cancer Genome Consortium; lncRNA: long noncoding RNA; miRNA: micro RNA; ncRNA: noncoding RNA; NGS: next generation sequencing; OMIM: Online Mendelian Inheritance in Man; piRNA: piwi-interacting RNA; snoRNA: small nucleolar RNA; TCGA: The Cancer Genome Atlas.

Indexed as

Databases, GeneticGenetic Predisposition to DiseaseAlgorithmsGene OntologyGenome-Wide Association StudyHumansMicroRNAsModels, TheoreticalPhenotypeRNA, CircularRNA, Long NoncodingRNA, UntranslatedUser-Computer InterfaceWeb BrowserMicroRNAsRNA, CircularRNA, Long NoncodingRNA, UntranslatedcircRNAdatabase applicationdisease phenotypelncRNAmiRNAncRNAncRNA-disease associationpiRNAsnoRNA

Identifiers

PMID32122231
PMCPMC7549653

What OpenQuestion holds

Textmetadata
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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.