From chemoproteomic-detected amino acids to genomic coordinates: insights into precise multi-omic data integration.

ABSTRACT: The integration of proteomic, transcriptomic, and genetic variant annotation data will improve our understanding of genotype-phenotype associations. Due, in part, to challenges associated with accurate inter-database mapping, such multi-omic studies have not extended to chemoproteomics, a method that measures the intrinsic reactivity and potential "druggability" of nucleophilic amino acid side chains. Here, we evaluated mapping approaches to match chemoproteomic-detected cysteine and lysine residues with their genetic coordinates. Our analysis revealed that database update cycles and reliance on stable identifiers can lead to pervasive misidentification of labeled residues. Enabled by this examination of mapping strategies, we then integrated our chemoproteomics data with computational met

SUBMITTER: Palafox MF 

PROVIDER: S-EPMC7890448 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature