Evidence map›Paper›PMID 39178387›Full record

ArticleGenomics, proteomics & bioinformatics2024

eRNA-IDO: A One-stop Platform for Identification, Interactome Discovery, and Functional Annotation of Enhancer RNAs.

Yuwei Zhang, Lihai Gong, Ruofan Ding, Wenyan Chen, Hao Rong, Yanguo Li, Fawziya Shameem, Korakkandan Arshad Ali, Lei Li, Qi Liao

Abstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2024. 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. Review
  3. Article
  4. Review
  5. 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

10 authors.

Yuwei ZhangSchool of Public Health, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-8395-3020
Lihai GongInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China.ORCID 0009-0007-0880-8177
Ruofan DingInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China.ORCID 0000-0003-1667-9866
Wenyan ChenInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China.ORCID 0000-0002-4821-9306
Hao RongSchool of Clinical Medicine, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0000-0002-1650-0670
Yanguo LiInstitute of Drug Discovery Technology, Ningbo University, Ningbo 315211, China.ORCID 0000-0001-9064-0033
Fawziya ShameemSchool of Public Health, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0009-0009-5011-7665
Korakkandan Arshad AliSchool of Public Health, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0009-0001-5987-1367
Lei LiInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518107, China.ORCID 0000-0003-3924-2544
Qi LiaoSchool of Public Health, Health Science Center, Ningbo University, Ningbo 315211, China.ORCID 0000-0001-6796-104X

Funding

National Natural Science Foundation of China 32300430Ningbo Major Research and Development Plan Project 2023Z226Open Grant Funds from Shenzhen Bay Laboratory SZBL2021080601001Zhejiang Provincial Natural Science Foundation of China
6 · The paper itself

Abstract

Growing evidence supports the transcription of enhancer RNAs (eRNAs) and their important roles in gene regulation. However, their interactions with other biomolecules and their corresponding functionality remain poorly understood. In an attempt to facilitate mechanistic research, this study presents eRNA-IDO, the first integrative computational platform for the identification, interactome discovery, and functional annotation of human eRNAs. eRNA-IDO comprises two modules: eRNA-ID and eRNA-Anno. Functionally, eRNA-ID can identify eRNAs from de novo assembled transcriptomes. eRNA-ID includes eight kinds of enhancer makers, enabling users to customize enhancer regions flexibly and conveniently. In addition, eRNA-Anno provides cell-/tissue-specific functional annotation for both new and known eRNAs by analyzing the eRNA interactome from prebuilt or user-defined networks between eRNAs and protein-coding genes. The prebuilt networks include the Genotype-Tissue Expression (GTEx)-based co-expression networks in normal tissues, The Cancer Genome Atlas (TCGA)-based co-expression networks in cancer tissues, and omics-based eRNA-centric regulatory networks. eRNA-IDO can facilitate research on the biogenesis and functions of eRNAs. The eRNA-IDO server is freely available at http://bioinfo.szbl.ac.cn/eRNA_IDO/.

Indexed as

Enhancer Elements, GeneticMolecular Sequence AnnotationRNAComputational BiologyEnhancer RNAsGene Regulatory NetworksHumansSoftwareTranscriptomeEnhancer RNAsRNAEnhancer RNAFunctional annotationIdentificationInteractomeWeb server

Identifiers

PMID39178387
PMCPMC11514848

What OpenQuestion holds

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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.