<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Liu X</submitter><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>e2000218</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8106443</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>21(1)</volume><pubmed_abstract>A vast number of human cell lines are available for cell culture model-based studies, and as such the potential exists for discrepancies in findings due to cell line selection. To investigate this concept, the authors determine the relative protein abundance profiles of a panel of eight diverse, but commonly studied human cell lines. This panel includes HAP1, HEK293T, HeLa, HepG2, Jurkat, Panc1, SH-SY5Y, and SVGp12. A mass spectrometry-based proteomics workflow designed to enhance quantitative accuracy while maintaining analytical depth is used. To this end, this strategy leverages TMTpro16-based sample multiplexing, high-field asymmetric ion mobility spectrometry, and real-time database searching. The data show that the differences in the relative protein abundance profiles reflect cell l</pubmed_abstract><journal>Proteomics</journal><pubmed_title>Isobaric Tag-Based Protein Profiling across Eight Human Cell Lines Using High-Field Asymmetric Ion Mobility Spectrometry and Real-Time Database Searching.</pubmed_title><pmcid>PMC8106443</pmcid><funding_grant_id>R01 GM132129</funding_grant_id><funding_grant_id>GM67945</funding_grant_id><funding_grant_id>GM</funding_grant_id><funding_grant_id>67945</funding_grant_id><funding_grant_id>132129</funding_grant_id><funding_grant_id>R01 GM067945</funding_grant_id><pubmed_authors>Liu X</pubmed_authors><pubmed_authors>Paulo JA</pubmed_authors><pubmed_authors>Gygi SP</pubmed_authors></additional><is_claimable>false</is_claimable><name>Isobaric Tag-Based Protein Profiling across Eight Human Cell Lines Using High-Field Asymmetric Ion Mobility Spectrometry and Real-Time Database Searching.</name><description>A vast number of human cell lines are available for cell culture model-based studies, and as such the potential exists for discrepancies in findings due to cell line selection. To investigate this concept, the authors determine the relative protein abundance profiles of a panel of eight diverse, but commonly studied human cell lines. This panel includes HAP1, HEK293T, HeLa, HepG2, Jurkat, Panc1, SH-SY5Y, and SVGp12. A mass spectrometry-based proteomics workflow designed to enhance quantitative accuracy while maintaining analytical depth is used. To this end, this strategy leverages TMTpro16-based sample multiplexing, high-field asymmetric ion mobility spectrometry, and real-time database searching. The data show that the differences in the relative protein abundance profiles reflect cell l</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Jan</publication><modification>2026-05-08T00:53:44.091Z</modification><creation>2022-02-11T14:21:51.461Z</creation></dates><accession>S-EPMC8106443</accession><cross_references><pubmed>33015980</pubmed><doi>10.1002/pmic.202000218</doi></cross_references></HashMap>