{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Klee EW"],"funding":["NLM NIH HHS","NIGMS NIH HHS"],"pagination":["1414-21"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC390277"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["32(4)"],"pubmed_abstract":["The proteins processed by the secretory pathway (secretome) are critical players in the development of multi-cellular eukaryotic organisms but have yet to be comprehensively studied at the genomic level. In this study, we use the Target P algorithm to predict human (13-20% of proteins found in individual datasets) and Fugu (14%) secretomes based on analysis of their nearly complete proteomes. We combine internal processing with prediction software to automate secreted protein identification and overcome one of the major challenges associated with EST data: identification of the minority of clones that encode N-terminally-complete proteins. We discuss the use of these methods to predict secreted proteins in EST-based consensus sequence sets, and we validate these predictions using an assay "],"journal":["Nucleic acids research"],"pubmed_title":["Identifying secretomes in people, pufferfish and pigs."],"pmcid":["PMC390277"],"funding_grant_id":["NLM-0704","R01 GM063904","R01-GM63904","R01 GM063904-01"],"pubmed_authors":["Carlson DF","Ekker SC","Klee EW","Fahrenkrug SC","Ellis LB"],"additional_accession":[]},"is_claimable":false,"name":"Identifying secretomes in people, pufferfish and pigs.","description":"The proteins processed by the secretory pathway (secretome) are critical players in the development of multi-cellular eukaryotic organisms but have yet to be comprehensively studied at the genomic level. In this study, we use the Target P algorithm to predict human (13-20% of proteins found in individual datasets) and Fugu (14%) secretomes based on analysis of their nearly complete proteomes. We combine internal processing with prediction software to automate secreted protein identification and overcome one of the major challenges associated with EST data: identification of the minority of clones that encode N-terminally-complete proteins. We discuss the use of these methods to predict secreted proteins in EST-based consensus sequence sets, and we validate these predictions using an assay ","dates":{"release":"2004-01-01T00:00:00Z","publication":"2004","modification":"2025-04-04T11:00:51.304Z","creation":"2019-03-27T00:50:21Z"},"accession":"S-EPMC390277","cross_references":{"pubmed":["14990746"],"doi":["10.1093/nar/gkh286"]}}