m6Acomet: large-scale functional prediction of individual m


Journal

BMC bioinformatics
ISSN: 1471-2105
Titre abrégé: BMC Bioinformatics
Pays: England
ID NLM: 100965194

Informations de publication

Date de publication:
02 May 2019
Historique:
received: 22 10 2018
accepted: 22 04 2019
entrez: 4 5 2019
pubmed: 3 5 2019
medline: 14 6 2019
Statut: epublish

Résumé

Over one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methylation, especially N6-methyladenosine, has become one of the most researched topics in epigenetics. To date, the study of epitranscriptome layer gene regulation is mostly focused on the function of mediator proteins of RNA methylation, i.e., the readers, writers and erasers. There is limited investigation of the functional relevance of individual m An online web server m6Acomet was constructed to support direct query for the predicted biological functions of m

Sections du résumé

BACKGROUND BACKGROUND
Over one hundred different types of post-transcriptional RNA modifications have been identified in human. Researchers discovered that RNA modifications can regulate various biological processes, and RNA methylation, especially N6-methyladenosine, has become one of the most researched topics in epigenetics.
RESULTS RESULTS
To date, the study of epitranscriptome layer gene regulation is mostly focused on the function of mediator proteins of RNA methylation, i.e., the readers, writers and erasers. There is limited investigation of the functional relevance of individual m
CONCLUSIONS CONCLUSIONS
An online web server m6Acomet was constructed to support direct query for the predicted biological functions of m

Identifiants

pubmed: 31046660
doi: 10.1186/s12859-019-2840-3
pii: 10.1186/s12859-019-2840-3
pmc: PMC6498663
doi:

Substances chimiques

N-methyladenosine CLE6G00625
Adenosine K72T3FS567

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

223

Subventions

Organisme : National Natural Science Foundation of China
ID : 31671373
Organisme : National Natural Science Foundation of China
ID : 61501466
Organisme : Jiangsu University Natural Science Program
ID : 16KJB180027
Organisme : XJTLU Key Programme Special Fund
ID : KSF-T-01
Organisme : Six Talent Peaks Project in Jiangsu Province
ID : XYDXX-118

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Auteurs

Xiangyu Wu (X)

Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.
Institute of Ageing & Chronic Disease, University of Liverpool, L7 8TX, Liverpool, UK.

Zhen Wei (Z)

Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.
Institute of Ageing & Chronic Disease, University of Liverpool, L7 8TX, Liverpool, UK.

Kunqi Chen (K)

Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.
Institute of Ageing & Chronic Disease, University of Liverpool, L7 8TX, Liverpool, UK.

Qing Zhang (Q)

Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.
Present address: Harvard T.H. Chan School of Public Health, Harvard University, 655 Huntington Avenue, Boston, MA, 02115, USA.

Jionglong Su (J)

Department of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China.

Hui Liu (H)

School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China.

Lin Zhang (L)

School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China. lin.zhang@cumt.edu.cn.

Jia Meng (J)

Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, Jiangsu, China. jia.meng@xjtlu.edu.cn.
Institute of Integrative Biology, University of Liverpool, L7 8TX, Liverpool, UK. jia.meng@xjtlu.edu.cn.

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