OpenAc4C a gateway to decode the landscape, regulation and pathogenesis of N4-acetylcytidine (ac4C) epitranscriptome


Data Summary Data Release 2.0 – June 1st,2025

SPECIES

33

EXPERIMENTS

267

CONDITIONS

67
  • ac4C Landscape
  • acRIP-seq

    329,086

    Base-resolution

    118,728

    Direct RNA Sequencing

    76,139
  • ac4C-Variants
  • ac4C-affecting Variants

    536,986

    Pathogenic ac4C-SNP

    4,766

    Linked disease phenotypes

    1,280

    Welcome to OpenAc4C

    N4-acetylcytidine (ac4C) is an ancient and highly conserved chemical marker found in all domains of life. Recent advancements in sequencing techniques have enabled the functional analysis of ac4C acetylation by accurately capturing its locations and levels, shedding light on its significant regulatory potential and emerging role in diseases.


    We present here OpenAc4C, the first comprehensive knowledgebase exclusively designed for unraveling the ac4C epitranscriptome across diverse species, spanning vertebrates, mammals, insects, fungi, plants, bacterial, archaea, and viruses,encompassing a total of 33 species.


    By mining a large array of ac4C epitranscriptome datasets with deep learning-based pipelines, OpenAc4C features a collection of 523,953 putative ac4C sites identified from four distinct next-generation (NGS)-based techniques, alongside novel insights from Oxford Nanopore direct RNA sequencing (ONT)-based samples. Beyond ac4C landscape, a total of 536,986 ac4C-affecting variants were identified in seven species. Among them, 4,766 pathogenic ac4C-SNPs may drive ac4C dysregulation with an emphasis on their disease pathogenesis.