GPMDB00103OtherVialas V, et al.InstrumentNot AvailableNot availableCandida_albicansvvialasf@ucm.es23811049Universidad Complutense 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availableGPMDBCandida albicans public proteomic datasets, though growing steadily in the last few years, still have a very limited presence in online repositories. We report here the creation of a C. albicans PeptideAtlas comprising near 22,000 distinct peptides at a 0.24% False Discovery Rate (FDR) that account for over 2500 canonical proteins at a 1.2% FDR. Based on data from 16 experiments, we attained coverage of 41% of the C. albicans open reading frame sequences (ORFs) in the database used for the searches. This PeptideAtlas provides several useful features, including comprehensive protein and peptide-centered search capabilities and visualization tools that establish a solid basis for the study of basic biological mechanisms key to virulence and pathogenesis such as dimorphism, adherence, and apoptosis. Further, it is a valuable resource for the selection of candidate proteotypic peptides for targeted proteomic experiments via Selected Reaction Monitoring (SRM) or SWATH-MS.This C. albicans PeptideAtlas resolves the previous absence of fungal pathogens in the PeptideAtlas project. It represents the most extensive characterization of the proteome of this fungus that exists up to the current date, including evidence for uncharacterized ORFs. Through its web interface, PeptideAtlas supports the study of interesting proteins related to basic biological mechanisms key to virulence such as apoptosis, dimorphism and adherence. It also provides a valuable resource to select candidate proteotypic peptides for future (SRM) targeted proteomic experiments. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.Candida albicans public proteomic datasets, though growing steadily in the last few years, still have a very limited presence in online repositories. We report here the creation of a C. albicans PeptideAtlas comprising near 22,000 distinct peptides at a 0.24% False Discovery Rate (FDR) that account for over 2500 canonical proteins at a 1.2% FDR. Based on data from 16 experiments, we attained coverage of 41% of the C. albicans open reading frame sequences (ORFs) in the database used for the searches. This PeptideAtlas provides several useful features, including comprehensive protein and peptide-centered search capabilities and visualization tools that establish a solid basis for the study of basic biological mechanisms key to virulence and pathogenesis such as dimorphism, adherence, and apoptosis. Further, it is a valuable resource for the selection of candidate proteotypic peptides for targeted proteomic experiments via Selected Reaction Monitoring (SRM) or SWATH-MS.This C. albicans PeptideAtlas resolves the previous absence of fungal pathogens in the PeptideAtlas project. It represents the most extensive characterization of the proteome of this fungus that exists up to the current date, including evidence for uncharacterized ORFs. Through its web interface, PeptideAtlas supports the study of interesting proteins related to basic biological mechanisms key to virulence such as apoptosis, dimorphism and adherence. It also provides a valuable resource to select candidate proteotypic peptides for future (SRM) targeted proteomic experiments. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.<h4>Unlabelled</h4>Candida albicans public proteomic datasets, though growing steadily in the last few years, still have a very limited presence in online repositories. We report here the creation of a C. albicans PeptideAtlas comprising near 22,000 distinct peptides at a 0.24% False Discovery Rate (FDR) that account for over 2500 canonical proteins at a 1.2% FDR. Based on data from 16 experiments, we attained coverage of 41% of the C. albicans open reading frame sequences (ORFs) in the database used for the searches. This PeptideAtlas provides several useful features, including comprehensive protein and peptide-centered search capabilities and visualization tools that establish a solid basis for the study of basic biological mechanisms key to virulence and pathogenesis such as dimorphism, adherence, and apoptosis. Further, it is a valuable resource for the selection of candidate proteotypic peptides for targeted proteomic experiments via Selected Reaction Monitoring (SRM) or SWATH-MS.<h4>Biological significance</h4>This C. albicans PeptideAtlas resolves the previous absence of fungal pathogens in the PeptideAtlas project. It represents the most extensive characterization of the proteome of this fungus that exists up to the current date, including evidence for uncharacterized ORFs. Through its web interface, PeptideAtlas supports the study of interesting proteins related to basic biological mechanisms key to virulence such as apoptosis, dimorphism and adherence. It also provides a valuable resource to select candidate proteotypic peptides for future (SRM) targeted proteomic experiments. This article is part of a Special Issue entitled: Trends in Microbial Proteomics.A Candida albicans PeptideAtlas.Vialas Vital V,Sun Zhi Z,Loureiro y Penha Carla Verónica CV,Carrascal Montserrat M,Abián Joaquín J,Monteoliva Lucía L,Deutsch Eric W EW,Aebersold Ruedi R,Moritz Robert L RL,Gil Concha C,Vialas Vital V, Sun Zhi Z, Loureiro y Penha Carla Verónica CV, Carrascal Montserrat M, Abián Joaquín J, Monteoliva Lucía L, Deutsch Eric W EW, Aebersold Ruedi R, Moritz Robert L RL, Gil Concha Calbicans, Candida stellatoidea type I., Candida stellatoidea, Candida, Candida albicanGpi, data, Org, ORG, distinct, AI461847, Gpi-1r, Nlk, Candida stellatoidea type I, Gpi-1s, Phi, number, Gpi-1t, Gpi1-r, Polypeptides., Gpi1-s, MF, Gpi1-t, Amf, presence, count in organism, Candida albican, mOC-X, count, albicans, Pgi, Candida stellatoidea, NK|GPI, Candida, quantitative, Gpi-1, Bglap-rs1, NK, Gpi1s, presence or absence in organismalbicans, Candida stellatoidea type I., Candida stellatoidea, Candida, Candida albicanvisualization, cellular suicide, negative regulation of adrenergic receptor signalling pathway, data, SRM., cell suicide, SRML1, selection process, Proteins, apoptotic cell death, caspase-dependent programmed cell death, PAPT, number, Gene, apoptotic programmed cell death, type I programmed cell death, SPDSY, presence, Reading Frame, activation of apoptosis, Multiple Reaction Monitoring, Frames, polypeptide, peptide, Polypeptides, solid, count in organism, signaling (initiator) caspase activity, count, induction of apoptosis, Extrinsic Pathway Apoptoses, Intrinsic Pathway, Programmed Cell Death, Extrinsic Pathway Apoptosis, Protein, Gene Products, Pathogenicity, Type I, Data Base, apoptosis signaling, Frame, study, viral infection, proportion, distinct, apoptosis, MRM, Candida stellatoidea type I, SRM, proportionality, rate, proteins, virus process, apoptosis activator activity, Protein Gene Products, Intrinsic Pathway Apoptoses, Gene Proteins, data encoding as image, Intrinsic Pathway Apoptosis, Candida albican, false, induction of apoptosis by p53, apoptotic program, execution phase of apoptotic process, regulation of adrenergic receptor signalling pathway, quotient, albicans, Extrinsic Pathway, commitment to apoptosis, Reading, Candida stellatoidea, virulence, Candida, quantitative, programmed cell death by apoptosis, Apoptoses, SPS1, presence or absence in organism, ratio, Apoptosis1003http://gpmdb.thegpm.org/~/dblist_gpmnum/gpmnum=GPM11210027715dbgap_ncbi~0patentfamilies~0rfam~0merops~0complex-portal~0uniprot~0wormbaseparasite~0embl-covid19~0reactome~0emdb~0wgs_masters~0ebiweb_resources~0opentargets_genetics~0biomodels_all~0ipd-mhc~0ebiweb_teams~0taxonomy~0genome_assembly~0sc-experiments~0ebiweb_people~0enzymeportal_enzymes~0ipd-nhkir~0cellosaurus~0pdbe~0chebi~0patentproteins~0interpro7~0uniref~0chembl~0pdbekb~0gpcrdb~0hgnc~0sc-genes~0intact~0rhea~0ebiweb_training~0alphafold~0imgt-hla~0patentnucleotides~0ensemblroot~0eva_studies~0non-coding~0europepmc~0pubmed~1identifiers_registry~0pdbechem~0hpa-covid19~0eva-variants-covid19~0biosamples~0gwas_catalog~0biotools~0tls_masters~0mesh~0coding~0sra~0opentargets~0efo~0embl-pathogen~0project~0human_diseases~0geo_datasets~0embl~0treefam~0uniparc~0ols~0dgva~0intenz~0go~0tsa_masters~0biosamples-covid19~0ebiweb_corporate~0omim~0lrg~0earlycause-molecular-sequences~0ipd-kir~0empiar~0rnacentral~0orcid_data_claims~0gpmdb~2lineage-covid19~0metagenomics~0pfam~0varsite~00.00.00.00308451573103022850.001.0falseA Candida albicans PeptideAtlas.Data from PeptideAtlas, [[http://www.peptideatlas.org/PASS/PASS00408 PASS00408]]. File: SC5314_vesicles_2_CGD21.mzml. Published as part of J Proteomics. 2014 Jan 31;97:62-8 .From the Abstract: {{i}} Candida albicans public proteomic datasets, though growing steadily in the last few years, still have a very limited presence in online repositories. We report here the creation of a C. albicans PeptideAtlas comprising near 22,000 distinct peptides ... {{/i}}2014-06-08GPM1121002771523811049