<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Trinh HV</submitter><funding>University of Zurich Forschungskredit</funding><pagination>581862</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC3608280</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>2013</volume><pubmed_abstract>Both isobaric tags for relative and absolute quantitation (iTRAQ) and label-free methods are widely used for quantitative proteomics. Here, we provide a detailed evaluation of these proteomics approaches based on large datasets from biological samples. iTRAQ-label-based and label-free quantitations were compared using protein lysate samples from noninfected human lung epithelial A549 cells and from cells infected for 24 h with human adenovirus type 3 or type 5. Either iTRAQ-label-based or label-free methods were used, and the resulting samples were analyzed by liquid chromatography (LC) and tandem mass spectrometry (MS/MS). To reduce a possible bias from quantitation software, we applied several software packages for each procedure. ProteinPilot and Scaffold Q+ software were used for iTRAQ</pubmed_abstract><journal>International journal of proteomics</journal><pubmed_title>iTRAQ-Based and Label-Free Proteomics Approaches for Studies of Human Adenovirus Infections.</pubmed_title><pmcid>PMC3608280</pmcid><funding_grant_id>31003A_141222</funding_grant_id><funding_grant_id>57113401</funding_grant_id><pubmed_authors>Hemmi S</pubmed_authors><pubmed_authors>Schlapbach R</pubmed_authors><pubmed_authors>Greber UF</pubmed_authors><pubmed_authors>Trinh HV</pubmed_authors><pubmed_authors>Roschitzki B</pubmed_authors><pubmed_authors>Grossmann J</pubmed_authors><pubmed_authors>Gehrig P</pubmed_authors></additional><is_claimable>false</is_claimable><name>iTRAQ-Based and Label-Free Proteomics Approaches for Studies of Human Adenovirus Infections.</name><description>Both isobaric tags for relative and absolute quantitation (iTRAQ) and label-free methods are widely used for quantitative proteomics. Here, we provide a detailed evaluation of these proteomics approaches based on large datasets from biological samples. iTRAQ-label-based and label-free quantitations were compared using protein lysate samples from noninfected human lung epithelial A549 cells and from cells infected for 24 h with human adenovirus type 3 or type 5. Either iTRAQ-label-based or label-free methods were used, and the resulting samples were analyzed by liquid chromatography (LC) and tandem mass spectrometry (MS/MS). To reduce a possible bias from quantitation software, we applied several software packages for each procedure. ProteinPilot and Scaffold Q+ software were used for iTRAQ</description><dates><release>2013-01-01T00:00:00Z</release><publication>2013</publication><modification>2026-04-30T06:18:00.914Z</modification><creation>2019-03-27T01:06:37Z</creation></dates><accession>S-EPMC3608280</accession><cross_references><pubmed>23555056</pubmed><doi>10.1155/2013/581862</doi></cross_references></HashMap>