The proteomic analysis of human blood and blood-derived products (e.g., plasma) offers an attractive avenue to translate research progress from the laboratory into the clinic. However, due to its unique protein composition, performing proteomics assays with plasma is challenging. Plasma proteomics has regained interest due to recent technological advances, but challenges imposed by both complications inherent to studying human biology (e.g., interindividual variability) and analysis of biospecimens (e.g., sample variability), as well as technological limitations remain. As part of the Human Proteome Project (HPP), the Human Plasma Proteome Project (HPPP) brings together key aspects of the plasma proteomics pipeline. Here, we provide considerations and recommendations concerning study design, plasma collection, quality metrics, plasma processing workflows, mass spectrometry (MS) data acquisition, data processing, and bioinformatic analysis. With exciting opportunities in studying human health and disease though this plasma proteomics pipeline, a more informed analysis of human plasma will accelerate interest while enhancing possibilities for the incorporation of proteomics-scaled assays into clinical practice.
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http://dx.doi.org/10.1021/acs.jproteome.9b00503 | DOI Listing |
ACS Omega
December 2024
School of Psychology, University of Wollongong, Wollongong, New South Wales 2522, Australia.
The biological effects of electromagnetic field (EMF) irradiation in the terahertz (THz) range remain ambiguous, despite numerous studies that have been conducted. In this paper, the metabolic response of K 12 to EMF irradiation was examined using a 1.0 W m incident synchrotron source (SS) in the range of 0.
View Article and Find Full Text PDFTranscriptome- and proteome-wide association studies (TWAS/PWAS) have proven successful in prioritizing genes and proteins whose genetically regulated expression modulates disease risk, but they ignore potential co-expression and interaction effects. To address this limitation, we introduce the co-expression-wide association study (COWAS) method, which can identify pairs of genes or proteins whose genetically regulated co-expression is associated with complex traits. COWAS first trains models to predict expression and co-expression conditional on genetic variation, and then tests for association between imputed co-expression and the trait of interest while also accounting for direct effects from each exposure.
View Article and Find Full Text PDFJ Hepatol
December 2024
The Concern Foundation Laboratories at The Lautenberg Center for Immunology and Cancer Research, Israel-Canada Medical Research Institute, Faculty of Medicine, The Hebrew University, Jerusalem, Israel; Department of Pathology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. Electronic address:
Background And Aims: RORc-expressing immune cells play important roles in inflammation, autoimmune disease and cancer. They are required for lymphoid organogenesis and have been implicated in tertiary lymphoid structure (TLS) formation. TLSs are formed in many cancer types and have been correlated with better prognosis and response to immunotherapy.
View Article and Find Full Text PDFAtherosclerosis
December 2024
Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Hubei Provincial Clinical Research Center for Diabetes and Metabolic Disorders, Wuhan, China. Electronic address:
Aims: This study aimed to explore the association between plasma caspase-1 levels and cardiovascular disease (CVD), as well as the potential mediating role of metabolic syndrome (Mets) in the association.
Methods: This study analyzed the UK Biobank Precision Proteomics Project (UKB-PPP), which detected plasma caspase-1 levels in participants. CVD was defined by ICD-9/ICD-10 codes.
BMC Urol
December 2024
First Hospital of Shanxi Medical University, No. 85 Jiefang South Road, Taiyuan, Shanxi Province, 030001, China.
Objective: To identify therapeutic protein targets for bladder cancer (BCa) using Mendelian randomization (MR) and assess potential adverse effects of these targets.
Methods: A proteome-wide MR study was conducted to determine causal relationships between plasma proteins and BCa risk. In the discovery stage, the plasma proteins (Exposure) were sourced from the R10 of Finnish database, Olink (619 samples across 2925 proteins) and SomaScan (828 samples across 7596 proteins), and Iceland database.
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