{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["17(7)"],"submitter":["Glisovic-Aplenc T"],"funding":["NICHD NIH HHS","Hyundai Hope On Wheels","National Cancer Institute","NCI NIH HHS","National Institutes of Health","Leukemia and Lymphoma Society"],"pubmed_abstract":["The proteins of the cellular plasma membrane (PM) perform important functions relating to homeostasis and intercellular communication. Due to its overall low cellular abundance, amphipathic character, and low membrane-to-cytoplasm ratio, the PM proteome has been challenging to isolate and characterize, and is poorly represented in standard LC-MS/MS analyses. In this study, we employ sucrose gradient ultracentrifugation for the enrichment of the PM proteome, without chemical labeling and affinity purification, together with GeLCMS and use subsequent bioinformatics tools to select proteins associated with the PM/cell surface, herein referred to as the surfaceome. Using this methodology, we identify over 1900 cell surface associated proteins in a human acute myeloid leukemia cell line. These "],"journal":["Proteomics"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC5518111"],"repository":["biostudies-literature"],"pubmed_title":["Improved surfaceome coverage with a label-free nonaffinity-purified workflow."],"pmcid":["PMC5518111"],"funding_grant_id":["K08 CA184418","K08CA184418","U54HD086984","U54 HD086984"],"pubmed_authors":["Seeholzer SH","Spruce LA","Tasian SK","Ding H","Glisovic-Aplenc T","Fazelinia H","Gill S","Aplenc R","Shestova O","Smith IR"],"additional_accession":[]},"is_claimable":false,"name":"Improved surfaceome coverage with a label-free nonaffinity-purified workflow.","description":"The proteins of the cellular plasma membrane (PM) perform important functions relating to homeostasis and intercellular communication. Due to its overall low cellular abundance, amphipathic character, and low membrane-to-cytoplasm ratio, the PM proteome has been challenging to isolate and characterize, and is poorly represented in standard LC-MS/MS analyses. In this study, we employ sucrose gradient ultracentrifugation for the enrichment of the PM proteome, without chemical labeling and affinity purification, together with GeLCMS and use subsequent bioinformatics tools to select proteins associated with the PM/cell surface, herein referred to as the surfaceome. Using this methodology, we identify over 1900 cell surface associated proteins in a human acute myeloid leukemia cell line. These ","dates":{"release":"2017-01-01T00:00:00Z","publication":"2017 Apr","modification":"2026-05-05T10:18:00.955Z","creation":"2019-03-26T23:22:22Z"},"accession":"S-EPMC5518111","cross_references":{"pubmed":["28116781"],"doi":["10.1002/pmic.201600344"]}}