title: XMAn: a Homo sapiens mutated-peptide database for the MS analysis of cancerous cell states.
abstract: To enable the identification of mutated peptide sequences in complex biological samples, in this work, two novel cancer- and disease-related protein databases with mutation information collected from several public resources such as COSMIC, IARC P53, OMIM, and UniProtKB were developed. In-house developed Perl scripts were used to search and process the data and to translate each gene-level mutation into a mutated peptide sequence. The cancer and disease mutation databases comprise a total of 872,125 and 27,148 peptide entries from 25 642 and 2913 proteins, respectively. A description line for each entry provides the parent protein ID and name, the cDNA- and protein-level mutation site and type, the originating database, and the disease or cancer tissue type and corresponding hits. The two databases are FASTA-formatted to enable data retrieval by commonly used tandem MS search engines. While the largest number of mutations were encountered for the amino acids A/D/E/G/L/P/R/S, the global mutation profiles replicate closely the outcome of the 1000 Genomes Project aimed at cataloguing natural mutations in the human population. The affected proteins were primarily involved in transcription regulation, splicing, protein synthesis/folding/binding, redox/energy production, adhesion/motility, and to some extent in DNA damage repair and signaling. The applicability of the database to identifying the presence of mutated peptides was investigated with MCF-7 breast cancer cell extracts.
authors.affiliation: Department of Biological Sciences, Virginia Polytechnic Institute and State University , Integrated Life Sciences Building, Kraft Drive 1981, Blacksburg, Virginia 24061, United States.
authors.forename: Xu
authors.initials: X
authors.lastname: Yang
authors.forename: Iulia M
authors.initials: IM
authors.lastname: Lazar
mesh_terms: D000595:Amino Acid Sequence; D001943:Breast Neoplasms / Q000235:genetics / Q000378:metabolism / Q000473:pathology; D030562:Databases, Protein; D004194:Disease / Q000235:genetics; D005260:Female; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods; D061986:MCF-7 Cells; D008969:Molecular Sequence Data; D009154:Mutation; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism* / Q000473:pathology; D010455:Peptides / Q000032:analysis* / Q000235:genetics / Q000378:metabolism; D020543:Proteome / Q000235:genetics / Q000378:metabolism; D040901:Proteomics; D015203:Reproducibility of Results; D053719:Tandem Mass Spectrometry / Q000379:methods*
chemical_list: D010455:Peptides; D020543:Proteome
keywords: amino acid mutations; cancer; database; peptide