Deep learning modeling m⁶A deposition reveals the importance of downstream cis-element sequences.

ABSTRACT: The N⁶-methyladenosine (m⁶A) modification is deposited to nascent transcripts on chromatin, but its site-specificity mechanism is mostly unknown. Here we model the m⁶A deposition to pre-mRNA by iM6A (intelligent m⁶A), a deep learning method, demonstrating that the site-specific m⁶A methylation is primarily determined by the flanking nucleotide sequences. iM6A accurately models the m⁶A deposition (AUROC = 0.99) and uncovers surprisingly that the cis-elements regulating the m⁶A deposition preferentially reside within the 50 nt downstream of the m⁶A sites. The m⁶A enhancers mostly include part of the RRACH motif and the m⁶A silencers generally contain CG/GT/CT motifs. Our finding is s

SUBMITTER: Luo Z 

PROVIDER: S-EPMC9114009 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature