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Variable calling of m6A and associated features in databases: a guide for end-users.
Song, Renhua; J Sutton, Gavin; Li, Fuyi; Liu, Qian; Wong, Justin J-L.
Affiliation
  • Song R; Epigenetics and RNA Biology Laboratory, School of Medical Sciences, The University of Sydney, Camperdown, NSW 2050, Australia.
  • J Sutton G; Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia.
  • Li F; Epigenetics and RNA Biology Laboratory, School of Medical Sciences, The University of Sydney, Camperdown, NSW 2050, Australia.
  • Liu Q; Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia.
  • Wong JJ; College of Information Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China.
Brief Bioinform ; 25(5)2024 Jul 25.
Article in En | MEDLINE | ID: mdl-39258883
ABSTRACT
N6-methyladenosine (m$^{6}$A) is a widely-studied methylation to messenger RNAs, which has been linked to diverse cellular processes and human diseases. Numerous databases that collate m$^{6}$A profiles of distinct cell types have been created to facilitate quick and easy mining of m$^{6}$A signatures associated with cell-specific phenotypes. However, these databases contain inherent complexities that have not been explicitly reported, which may lead to inaccurate identification and interpretation of m$^{6}$A-associated biology by end-users who are unaware of them. Here, we review various m$^{6}$A-related databases, and highlight several critical matters. In particular, differences in peak-calling pipelines across databases drive substantial variability in both peak number and coordinates with only moderate reproducibility, and the inclusion of peak calls from early m$^{6}$A sequencing protocols may lead to the reporting of false positives or negatives. The awareness of these matters will help end-users avoid the inclusion of potentially unreliable data in their studies and better utilize m$^{6}$A databases to derive biologically meaningful results.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenosine Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adenosine Limits: Humans Language: En Journal: Brief Bioinform Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2024 Document type: Article Affiliation country: Country of publication: