数据库名称：CrypticProteinDB
数据库简述：an integrated database of proteome and immunopeptidome derived non-canonical cancer proteins
所属国家/地区：United States
数据库主要信息：Translated non-canonical proteins derived from noncoding regions or alternative open reading frames (ORFs) can contribute to critical and diverse cellular processes. In the context of cancer, they also represent an under-appreciated source of targets for cancer immunotherapy through their tumor-enriched expression or by harboring somatic mutations that produce neoantigens. Here, we introduce the largest integration and proteogenomic analysis of novel peptides to assess the prevalence of non-canonical ORFs (ncORFs) in more than 900 patient proteomes and 26 immunopeptidome datasets across 14 cancer types. The integrative proteogenomic analysis of whole-cell proteomes and immunopeptidomes revealed peptide support for a nonredundant set of 9760 upstream, downstream, and out-of-frame ncORFs in protein coding genes and 12811 in noncoding RNAs. Notably, 6486 ncORFs were derived from differentially expressed genes and 340 were ubiquitously translated across eight or more cancers.
建立年份：2023
联系信息：Contact information
University/Institution:
Washington University in St. Louis
Address:
Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63108, USA.
City:
Province/State:
Country/Region:
United States
Contact name (PI/Team):
Christopher A Maher
Contact email (PI/Helpdesk):
christophermaher@wustl.edu
