{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gao BB"],"funding":["NIDDK NIH HHS"],"pagination":["2399-409"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC2596345"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["7(12)"],"pubmed_abstract":["A widely used method for protein identification couples prefractionation of protein samples by one-dimensional (1D) PAGE with LC/MS/MS. We developed a new label-free quantitative algorithm by combining measurements of spectral counting, ion intensity, and peak area on 1D PAGE-based proteomics. This algorithm has several improvements over other label-free quantitative algorithms: (i) Errors in peak detection are reduced because the retention time is based on each LC/MS/MS run and actual precursor m/z. (ii) Detection sensitivity is increased because protein quantification is based on the combination of peptide count, ion intensity, and peak area. (iii) Peak intensity and peak area are calculated in each LC/MS/MS run for all slices from 1D PAGE for every single identified protein and visualiz"],"journal":["Molecular & cellular proteomics : MCP"],"pubmed_title":["Label-free quantitative analysis of one-dimensional PAGE LC/MS/MS proteome: application on angiotensin II-stimulated smooth muscle cells secretome."],"pmcid":["PMC2596345"],"funding_grant_id":["P30 DK036836","DK36836","R01 DK060165","DK60165"],"pubmed_authors":["Gao BB","Stuart L","Feener EP"],"additional_accession":[]},"is_claimable":false,"name":"Label-free quantitative analysis of one-dimensional PAGE LC/MS/MS proteome: application on angiotensin II-stimulated smooth muscle cells secretome.","description":"A widely used method for protein identification couples prefractionation of protein samples by one-dimensional (1D) PAGE with LC/MS/MS. We developed a new label-free quantitative algorithm by combining measurements of spectral counting, ion intensity, and peak area on 1D PAGE-based proteomics. This algorithm has several improvements over other label-free quantitative algorithms: (i) Errors in peak detection are reduced because the retention time is based on each LC/MS/MS run and actual precursor m/z. (ii) Detection sensitivity is increased because protein quantification is based on the combination of peptide count, ion intensity, and peak area. (iii) Peak intensity and peak area are calculated in each LC/MS/MS run for all slices from 1D PAGE for every single identified protein and visualiz","dates":{"release":"2008-01-01T00:00:00Z","publication":"2008 Dec","modification":"2025-04-04T13:39:47.003Z","creation":"2019-03-27T00:19:40Z"},"accession":"S-EPMC2596345","cross_references":{"pubmed":["18676994"],"doi":["10.1074/mcp.M800104-MCP200","10.1074/mcp.m800104-mcp200"]}}