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<h4>Background</h4>Earlier detection is strongly associated with increased survival for women with ovarian cancer. Unfortunately, current screening strategies, employing serial serum or ultrasound assessments, lack adequate sensitivity and specificity for use in the low-prevalence general population. …
Read PDFMitochondrial oxidative phosphorylation (OXPHOS) comprises multi-subunit protein complexes that operate in coordination with the tricarboxylic acid (TCA) cycle to generate ATP. Although these systems are metabolically interconnected, complex II is generally regarded as the only …
Read PDFBACKGROUNDElevated lipoprotein(a) [Lp(a)] is associated with a higher risk of atherosclerotic cardiovascular disease (ASCVD). Although Lp(a) is a genetically determined risk factor, the plasma proteomic features associated with Lp(a) and whether they provide information about …
Read PDFShotgun proteomics has revolutionized protein research by combining liquid chromatography with tandem mass spectrometry (LC-MS/MS), enabling the identification and quantification of proteins in complex mixtures. This technique has significantly advanced the study of various foodborne …
Read PDFBottom-up proteomics workflows encompass several key stages, including sample preparation, data acquisition, and data analysis. Of these, sample preparation is the initial and critical stage, as it significantly influences the depth, reproducibility, and reliability of …
Read PDF<h4>Background</h4>Using DIA quantitative proteomics technology to screen for coronary artery calcification (CAC)-associated differentially expressed proteins, this study explores the value of SMOC1, HSP90B1, and OPTN as potential serum biomarkers for CAC and constructs an individualized …
Read PDFBACKGROUND: New-onset postoperative atrial fibrillation (POAF) after coronary artery bypass grafting (CABG) is a major complication and the precise mechanism remains unclear. EVs have become a special intercellular information transmission system secreted from different cells. …
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Read PDFProtein-level statistical tests in proteomics, aimed at obtaining p-values, are conventionally made on protein abundances aggregated from peptide data. This integral approach overlooks peptide-level heterogeneity and ignores important information coded in individual peptide data, while …
Read PDFAutoimmune diseases (ADs) are chronic inflammatory disorders characterized by complex etiologies and significant diagnostic challenges. Although autoantigens are critical for precision diagnosis and therapy, much of the immunogenic landscape remains unexplored due to the historical …
Read PDFOne of the biggest challenges in plasma proteomics is to reduce the dynamic range of plasma proteins to capture the expression of low-abundance proteins. Although abundant protein depletion and proximity extension assay are widely used …
Read PDFBottom-up proteomic workflows rely on sequential preprocessing steps, commonly including peptide-to-protein aggregation ("roll-up"), to enhance data reliability and interpretability. While roll-up is effective for protein-centered analyses, it may be suboptimal for applications focused on post-translational …
Read PDFBiomedical studies increasingly incorporate longitudinal data, enabling us to track individual disease processes over time at the molecular level, and to discover associations of the molecular profiles with the outcome of interest, such as the …
Read PDFTuberculosis (TB) continues to be a major public health concern. Thus, identifying individuals at risk of progression to active disease is important for community health but remains difficult. To address this issue, we analysed plasma …
Read PDFEarly detection and personalized therapy remain central challenges in modern oncology. Recent advancements in proteomics and metabolomics have unlocked powerful strategies for identifying molecular alterations associated with cancer onset, progression, and therapeutic response. Proteomics, employing …
Read PDFRecent advances in mass spectrometry, data-independent acquisition, proteoform-resolving workflows, and multi-omics integration have significantly expanded the scale and scope of proteomics. However, the reuse and translational application of these datasets are limited by inconsistent standards, …
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