{"database":"panorama","file_versions":[],"scores":null,"additional":{"omics_type":["Proteomics"],"submitter":["Deanna Plubell"],"species":["Homo Sapiens","Gallus Gallus"],"full_dataset_link":["https://panoramaweb.org/stellar-biofluid-prm.url"],"submitter_email":["plubell@uw.edu"],"submitter_affiliation":["University of Washington"],"sample_protocol":[""],"repository":["PanoramaPublic"],"data_protocol":[""],"pubmed_abstract":["The development of targeted assays that monitor biomedically relevant proteins is an important step in bridging discovery experiments to large scale clinical studies. Targeted assays are currently unable to scale to hundreds or thousands of targets. We demonstrate the generation of large-scale assays using a novel hybrid nominal mass instrument. The scale of these assays is achievable with the Stellar mass spectrometer through the accommodation of shifting retention times by real-time alignment, while being sensitive and fast enough to handle many concurrent targets. Assays were constructed using precursor information from gas-phase fractionation data-independent acquisition (DIA). We demonstrate the ability to schedule methods from orbitrap and linear ion trap acquired gas-phase fractionation DIA library, and compare the quantification of a matrix-matched calibration curve from orbitrap DIA and linear ion trap parallel reaction monitoring (PRM). Two applications of these proposed workflows are shown with a cerebrospinal fluid neurodegenerative disease protein PRM assay and with a Mag-Net enriched plasma extracellular vesicle protein survey PRM assay. In cerebrospinal fluid, our assay targets proteins discovered previously to be associated with Alzheimer's disease in a small independent sample set. For the Mag-Net enriched plasma survey assay, we observe that proteins selected based on their measurement robustness are still able to capture differences in abundance across disease groups in a small sample set. These highlight the application of highly multiplex, targeted protein assays in clinical research."],"pubmed_title":["Development of Highly Multiplex Targeted Proteomics Assays in Biofluids Using a Nominal Mass Ion Trap Mass Spectrometer."],"pubmed_authors":["Plubell Deanna L DL, Remes Philip M PM, Wu Christine C CC, Jacob Cristina C CC, Merrihew Gennifer E GE, Hsu Chris C, Shulman Nick N, MacLean Brendan X BX, Heil Lilian L, Poston Kathleen L KL, Montine Thomas J TJ, MacCoss Michael J MJ"],"additional_accession":[]},"is_claimable":false,"name":"Development of highly multiplex targeted proteomics assays in biofluids using a nominal mass ion trap mass spectrometer","description":"The development of targeted assays that monitor biomedically relevant proteins is an important step in bridging discovery experiments to large scale clinical studies. Targeted assays are currently unable to scale to hundreds or thousands of targets. We demonstrate the generation of large-scale assays using a novel hybrid nominal mass instrument. The scale of these assays is achievable with the StellarTM mass spectrometer through the accommodation of shifting retention times by real-time alignment, while being sensitive and fast enough to handle many concurrent targets. Assays were constructed using precursor information from gas-phase fractionated (GPF) data-independent acquisition (DIA). We demonstrate the ability to schedule methods from an orbitrap and linear ion trap acquired GPF DIA library and compare the quantification of a matrix-matched calibration curve from orbitrap DIA and linear ion trap parallel reaction monitoring (PRM). Two applications of these proposed workflows are shown with a cerebrospinal fluid (CSF) neurodegenerative disease protein PRM assay and with a Mag-Net enriched plasma extracellular vesicle (EV) protein survey PRM assay.","dates":{"publication":"Mon Jan 12 00:00:00 GMT 2026"},"accession":"PXD065471","cross_references":{"TAXONOMY":["9606","9031"],"pubmed":["41512968"]}}