Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome.

ABSTRACT:

Background

Recent advancements in epitranscriptomics highlight reversible RNA modifications as crucial regulators, with N6-methyladenosine (m⁶A) being abundant in eukaryotic mRNAs. Immunoprecipitation (IP) with specific antibodies is one of the most prevalent methods for m⁶A profiling, enabling the isolation of modified RNA for downstream analysis of their functional roles, but no computational methods have been developed to explicitly report a specific variation value in IP efficiencies conveniently, which may hinder the identification of novel modified RNA sites, particularly those with low abundance or less well-characterized.

Results

We develop a comprehensive analytical tool, AEEIP, for estimating the IP efficiency and correcting antibody bias in e

SUBMITTER: Wang H 

PROVIDER: S-EPMC12446549 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature