Evidence map›Paper›PMID 32821938›Full record

ArticleNucleic acids research2021

m6A-Atlas: a comprehensive knowledgebase for unraveling the N6-methyladenosine (m6A) epitranscriptome.

Yujiao Tang, Kunqi Chen, Bowen Song, Jiongming Ma, Xiangyu Wu, Qingru Xu, Zhen Wei, Jionglong Su, Gang Liu, Rong Rong and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 205 papers.

0numbers the graph read from it
0cells of the map it votes in
205citing 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

205 citing papers in PubMed.

  1. Article
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  12. A functional map of mNature cancer · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Integrated genetic analysis reveals synaptic mFrontiers in molecular neuroscience · 2026
    Article
  18. RNA variation as the driver of genomic efficiency and phenotypic complexity.International journal of biological sciences · 2026
    Review
  19. METTL16 Promotes Cerebral Ischemia-Reperfusion Injury via mInternational journal of general medicine · 2026
    Article
  20. Article

145 more citing papers are in PubMed but not listed here.

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.

Yujiao TangDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Kunqi ChenDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Bowen SongInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK.
Jiongming MaDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Xiangyu WuDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Qingru XuDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Zhen WeiDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Jionglong SuDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Gang LiuDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Rong RongDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
Zhiliang LuDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.
João Pedro de MagalhãesInstitute of Ageing & Chronic Disease, University of Liverpool, L7 8TX Liverpool, UK.
Daniel J RigdenInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, L7 8TX Liverpool, UK.
Jia MengDepartment of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu 215123, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N 6-Methyladenosine (m6A) is the most prevalent RNA modification on mRNAs and lncRNAs. It plays a pivotal role during various biological processes and disease pathogenesis. We present here a comprehensive knowledgebase, m6A-Atlas, for unraveling the m6A epitranscriptome. Compared to existing databases, m6A-Atlas features a high-confidence collection of 442 162 reliable m6A sites identified from seven base-resolution technologies and the quantitative (rather than binary) epitranscriptome profiles estimated from 1363 high-throughput sequencing samples. It also offers novel features, such as; the conservation of m6A sites among seven vertebrate species (including human, mouse and chimp), the m6A epitranscriptomes of 10 virus species (including HIV, KSHV and DENV), the putative biological functions of individual m6A sites predicted from epitranscriptome data, and the potential pathogenesis of m6A sites inferred from disease-associated genetic mutations that can directly destroy m6A directing sequence motifs. A user-friendly graphical user interface was constructed to support the query, visualization and sharing of the m6A epitranscriptomes annotated with sites specifying their interaction with post-transcriptional machinery (RBP-binding, microRNA interaction and splicing sites) and interactively display the landscape of multiple RNA modifications. These resources provide fresh opportunities for unraveling the m6A epitranscriptomes. m6A-Atlas is freely accessible at: www.xjtlu.edu.cn/biologicalsciences/atlas.

Indexed as

Knowledge BasesTranscriptomeAdenosineAnimalsArabidopsisAtlases as TopicDatasets as TopicDengue VirusDrosophila melanogasterHerpesvirus 8, HumanHIVHumansMiceMicroRNAsPan troglodytesRatsAdenosineMicroRNAsN-methyladenosineRNA, Long NoncodingRNA, Messenger

Identifiers

PMID32821938
PMCPMC7779050

What OpenQuestion holds

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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.