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The prognosis of diffuse large B cell lymphoma (DLBCL) is inaccurately predicted using clinical features and immunohistochemistry (IHC) algorithms. Nomination of a panel of molecules as the target for therapy and predicting prognosis in DLBCL is challenging because of the divergences in the results of molecular studies. Mass spectrometry (MS)-based proteomics in the clinic represents an analytical tool with the potential to improve DLBCL diagnosis and prognosis. Previous proteomics studies using MS-based proteomics identified a wide range of proteins. To achieve a consensus, we reviewed MS-based proteomics studies and extracted the most consistently significantly dysregulated proteins. These proteins were then further explored by analyzing data from other omics fields. Among all significantly regulated proteins, interferon regulatory factor 4 (IRF4) was identified as a potential target by proteomics, genomics, and IHC. Moreover, annexinA5 (ANXA5) and nucleobindin1 (NUCB1) were two of the most up-regulated proteins identified in MS studies. Functional enrichment analysis identified the light zone reactions of the germinal center (LZ-GC) together with cytoskeleton locomotion functions as enriched based on consistent, significantly dysregulated proteins. In this study, we suggest IRF4 and NUCB1 proteins as potential biomarkers that deserve further investigation in the field of DLBCL sub-classification and prognosis.
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http://dx.doi.org/10.3390/cells12010196 | DOI Listing |
J Proteome Res
September 2025
Department of Pharmaceutics, School of Pharmacy, University of Washington, Seattle, Washington 98195, United States.
Retinol binding protein 4 (RBP4), the circulating carrier of retinol, complexes with transthyretin (TTR) and is a potential biomarker of cardiometabolic disease. However, RBP4 quantitation relies on immunoassays and Western blots without retinol and TTR measurement. A liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for the simultaneous absolute quantitation of circulating RBP4 and TTR is critical to establishing their biomarker potential.
View Article and Find Full Text PDFFood Res Int
November 2025
German Federal Institute for Risk Assessment (BfR), Department Food Safety, National Reference Laboratory for Animal Protein in Feed, Max-Dohrn-Str. 8-10, 10589 Berlin, Germany. Electronic address:
Processing food and feed sets off a variety of reactions (Maillard, (lipid) oxidation), which may be traced by covalent changes to e.g. proteins.
View Article and Find Full Text PDFJ Vis Exp
August 2025
Molemuse Biotech Studio;
Mass spectrometry (MS)-based proteomics data, including Data-Dependent Acquisition (DDA) and Data-Independent Acquisition (DIA), are widely used in biological research. However, the application of these datasets in validation studies is still limited due to the lack of clear demonstrations on how to effectively search and analyze proteomic data. To fill this gap, we selected one DDA and one DIA dataset deposited in the PRoteomics IDEntifications Database (PRIDE) data repository to better illustrate the proteomic data analysis workflow and downstream post-processing of protein search results.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Pediatric Nephrology, Radboud University Medical Centre, Amalia Children's Hospital, Nijmegen, Netherlands.
Hemolytic uremic syndrome caused by an invasive infection (SP-HUS) is a rare and severe disease that primarily affects children under two years of age. The pathophysiology of SP-HUS remains poorly understood, and treatment is largely supportive. Complement factor H (FH) is a key regulator of the alternative pathway of the complement system.
View Article and Find Full Text PDFMol Cell Proteomics
September 2025
Institute of Biotechnology, HiLIFE, Faculty of Medicine, University of Helsinki, Helsinki, Finland. Electronic address:
Structural proteomics has undergone a profound transformation, driven by the convergence of advanced experimental methodologies and computational innovations. Cutting-edge mass spectrometry (MS)-based approaches, including cross-linking MS (XL-MS), hydrogen-deuterium exchange MS (HDX-MS), and limited proteolysis MS (LiP-MS), now enable unprecedented insights into protein topology, conformational dynamics, and protein-protein interactions. These methods, complemented by affinity purification (AP), co-immunoprecipitation (co-IP), proximity labeling (PL), and spatial proteomics techniques, have expanded our ability to characterize the structural proteome at a systems-wide scale.
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