{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Gao H"],"funding":["Pioneer and Leading Goose R&D Program of Zhejiang","National Key R&D Program of China","Noncommunicable Chronic Diseases-National Science and Technology Major Project","National Natural Science Foundation of China"],"pagination":["275-296"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12808129"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["18(1)"],"pubmed_abstract":["Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle-based circulating plasma proteomics studies have reported varying number of proteins (ca 2000-7000), but it remains unclear whether a higher protein number is more informative. Here, we first develop OmniProt-a silica-nanoparticle workflow optimized through a systematic evaluation of nanoparticle types and protein corona formation parameters. Next, we present an Astral spectral library for 10,109 protein groups. Using the Astral with 60 sample-per-day throughput, OmniProt identifies ca 3000 to 6000 protein groups from human plasma. Platelet/erythrocyte/coagulation-related contamination artificially inflates protein identifications and compromises quantification accuracy in nanoparticle-enriched sample"],"journal":["EMBO molecular medicine"],"pubmed_title":["Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics."],"pmcid":["PMC12808129"],"funding_grant_id":["2023C03056,2024SSYS0035","2024ZD0533300","82303849","2022YFF0608403"],"pubmed_authors":["Zhou L","Zheng Y","Liu J","Zhu Z","Zhang J","Zhu Y","Ruan S","Miao H","Guo T","Gao H","Xue Z","Xu H","Sun Y","Zhan Y","Liu Y","Ge W","Nie Z","Xun D","Qian L","Wang Y","Cheng H"],"additional_accession":[]},"is_claimable":false,"name":"Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics.","description":"Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle-based circulating plasma proteomics studies have reported varying number of proteins (ca 2000-7000), but it remains unclear whether a higher protein number is more informative. Here, we first develop OmniProt-a silica-nanoparticle workflow optimized through a systematic evaluation of nanoparticle types and protein corona formation parameters. Next, we present an Astral spectral library for 10,109 protein groups. Using the Astral with 60 sample-per-day throughput, OmniProt identifies ca 3000 to 6000 protein groups from human plasma. Platelet/erythrocyte/coagulation-related contamination artificially inflates protein identifications and compromises quantification accuracy in nanoparticle-enriched sample","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Jan","modification":"2026-06-06T15:39:55.298Z","creation":"2026-06-02T03:09:09.482Z"},"accession":"S-EPMC12808129","cross_references":{"pubmed":["41350775"],"doi":["10.1038/s44321-025-00346-9"]}}