{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kumar A"],"funding":["Intramural NIH HHS","U.S. Department of Health and Human Services","NHLBI NIH HHS","NNF Center for Biosustainability","Novo Nordisk Fonden","MedImmune"],"pagination":["4687-703"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4721571"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["14(11)"],"pubmed_abstract":["Chinese hamster ovary (CHO) cells are the preferred host cell line for manufacturing a variety of complex biotherapeutic drugs including monoclonal antibodies. We performed a proteomics and bioinformatics analysis on the spent medium from adherent CHO cells. Supernatant from CHO-K1 culture was collected and subjected to in-solution digestion followed by LC/LC-MS/MS analysis, which allowed the identification of 3281 different host cell proteins (HCPs). To functionally categorize them, we applied multiple bioinformatics tools to the proteins identified in our study including SignalP, TargetP, SecretomeP, TMHMM, WoLF PSORT, and Phobius. This analysis provided information on the presence of signal peptides, transmembrane domains, and cellular localization and showed that both secreted and intr"],"journal":["Journal of proteome research"],"pubmed_title":["Elucidation of the CHO Super-Ome (CHO-SO) by Proteoinformatics."],"pmcid":["PMC4721571"],"funding_grant_id":["ZIA DK075080-04","P01 HL107153","iLoop","CHO Cell Line Engineering & Design","NNF10CC1016517"],"pubmed_authors":["Pedersen LE","Shiloach J","Bowen MA","Betenbaugh MJ","Baycin-Hizal D","Wolozny D","Lewis NE","Heffner K","Zhang H","Cole RN","Kumar A","Chaerkady R"],"additional_accession":[]},"is_claimable":false,"name":"Elucidation of the CHO Super-Ome (CHO-SO) by Proteoinformatics.","description":"Chinese hamster ovary (CHO) cells are the preferred host cell line for manufacturing a variety of complex biotherapeutic drugs including monoclonal antibodies. We performed a proteomics and bioinformatics analysis on the spent medium from adherent CHO cells. Supernatant from CHO-K1 culture was collected and subjected to in-solution digestion followed by LC/LC-MS/MS analysis, which allowed the identification of 3281 different host cell proteins (HCPs). To functionally categorize them, we applied multiple bioinformatics tools to the proteins identified in our study including SignalP, TargetP, SecretomeP, TMHMM, WoLF PSORT, and Phobius. This analysis provided information on the presence of signal peptides, transmembrane domains, and cellular localization and showed that both secreted and intr","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015 Nov","modification":"2025-04-04T22:41:00.694Z","creation":"2019-03-27T02:07:17Z"},"accession":"S-EPMC4721571","cross_references":{"pubmed":["26418914"],"doi":["10.1021/acs.jproteome.5b00588"]}}