Evidence map›Paper›PMID 30357418›Full record

ArticleNucleic acids research2019

Editome Disease Knowledgebase (EDK): a curated knowledgebase of editome-disease associations in human.

Guangyi Niu, Dong Zou, Mengwei Li, Yuansheng Zhang, Jian Sang, Lin Xia, Man Li, Lin Liu, Jiabao Cao, Yang Zhang and 4 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. ncRNA Editing: Functional Characterization and Computational Resources.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. RBPs: an RNA editor's choice.Frontiers in molecular biosciences · 2024
    Review
  7. Benchmarking RNA Editing Detection Tools.Biotech (Basel (Switzerland)) · 2023
    Review
  8. Genomic Landscape and Potential Regulation of RNA Editing in Drug Resistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Databases for RNA Editing Collections.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  20. 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

14 authors at 3 institutions in 1 country.

Guangyi NiuBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Dong ZouBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Mengwei LiBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Yuansheng ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jian SangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Lin XiaBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Man LiBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Lin LiuBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Jiabao CaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Yang ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Pei WangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Songnian HuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Lili HaoBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Zhang ZhangBIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China.
Beijing Institute of Genomics · CNUniversity of Chinese Academy of Sciences · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA editing, as an essential co-/post-transcriptional RNA modification type, plays critical roles in many biological processes and involves with a variety of human diseases. Although several databases have been developed to collect RNA editing data in both model and non-model animals, there still lacks a resource integrating associations between editome and human disease. In this study, we present Editome-Disease Knowledgebase (EDK; http://bigd.big.ac.cn/edk), an integrated knowledgebase of RNA editome-disease associations manually curated from published literatures. In the current version, EDK incorporates 61 diseases associated with 248 experimentally validated abnormal editing events located in 32 mRNAs, 16 miRNAs, 1 lncRNA and 11 viruses, and 44 aberrant activities involved with 6 editing enzymes, which together are curated from more than 200 publications. In addition, to facilitate standardization of editome-disease knowledge integration, we propose a data curation model in EDK, factoring an abundance of relevant information to fully capture the context of editome-disease associations. Taken together, EDK is a comprehensive collection of editome-disease associations and bears the great utility in aid of better understanding the RNA editing machinery and complex molecular mechanisms associated with human diseases.

Indexed as

Databases, GeneticGenetic Predisposition to DiseaseGenome-Wide Association StudyRNA EditingRNA Processing, Post-TranscriptionalComputational BiologyHumansSoftwareUser-Computer InterfaceWeb Browser

Identifiers

PMID30357418
PMCPMC6323952
OpenAlexW2898474025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.