{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kruger L"],"funding":["Eunice Kennedy Shriver National Institute of Child Health and Human Development","Urban Child Institute","NICHD NIH HHS","NIEHS NIH HHS","NHLBI NIH HHS","National Institutes of Health","NIH HHS"],"pagination":["111-118"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9912121"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["131"],"pubmed_abstract":["<h4>Introduction</h4>Archived human placental tissue specimens are vital for studying placenta pathophysiology and toxicology. Proteomics analysis of placental tissue provides mechanistic and translational information, but the highly perfused and heterogenous nature of the placenta creates confounding technical variability. In this study, we developed an optimized proteomics-based approach to address the technical variability of proteomics data by normalizing blood contamination and cellular heterogeneity of archived placenta samples.<h4>Methods</h4>Placenta samples (n = 99) were homogenized, digested using trypsin, and analyzed by liquid chromatography mass-spectrometry. Label-free quantification (LFQ) intensities of the proteins were analyzed for their correlation with blood (albumin) an"],"journal":["Placenta"],"pubmed_title":["An optimized proteomics-based approach to estimate blood contamination and cellular heterogeneity of frozen placental tissue."],"pmcid":["PMC9912121"],"funding_grant_id":["UG3 OD023271","UG3/UH3OD023271","R00 HD096112","UH3 OD023271","K99 HD096112","P30 ES007033","K99/R00HD096112","R01 HL109977","P30ES007033"],"pubmed_authors":["Sathyanarayana S","Enquobahrie DA","Kruger L","Prasad B","Zhao Q","Paquette A","MacDonald J","Yue G","Bammler TK"],"additional_accession":[]},"is_claimable":false,"name":"An optimized proteomics-based approach to estimate blood contamination and cellular heterogeneity of frozen placental tissue.","description":"<h4>Introduction</h4>Archived human placental tissue specimens are vital for studying placenta pathophysiology and toxicology. Proteomics analysis of placental tissue provides mechanistic and translational information, but the highly perfused and heterogenous nature of the placenta creates confounding technical variability. In this study, we developed an optimized proteomics-based approach to address the technical variability of proteomics data by normalizing blood contamination and cellular heterogeneity of archived placenta samples.<h4>Methods</h4>Placenta samples (n = 99) were homogenized, digested using trypsin, and analyzed by liquid chromatography mass-spectrometry. Label-free quantification (LFQ) intensities of the proteins were analyzed for their correlation with blood (albumin) an","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2025-04-04T03:00:12.658Z","creation":"2025-04-04T03:00:12.658Z"},"accession":"S-EPMC9912121","cross_references":{"pubmed":["36584637"],"doi":["10.1016/j.placenta.2022.12.007"]}}