Exosomes are extracellular vesicles (EVs) released from cells under both physiological and pathological conditions, and may, thus, be present in biofluids. Urine is one of the most accessible biofluids implemented in clinical diagnostics. Recent mass spectrometry (MS)-based proteomic analyses have enabled high-throughput, deep proteome profiling of urinary EVs for the discovery, quantification and characterization of cancer-specific exosome biomarkers. The protein cargo of urine exosomes is emerging as an attractive source for biomarkers, not only for urological cancers, such as prostate, bladder and kidney cancer, but potentially also for nonurological cancers, including gastric, lung, oesophageal and colorectal cancer. More recently, exosome proteomics dissected protein cargo in the lumen and at the surface of EVs, and unexpectedly indicated that RNA- and DNA-binding proteins might also be present on vesicular surfaces. Here, we analyse MS-based proteomic data on urinary exosomes from cancer patients, and discuss the potential of urinary exosome-derived biomarkers in cancer.
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http://dx.doi.org/10.1002/1873-3468.13487 | DOI Listing |
J Proteome Res
January 2025
Discovery Research, AbbVie, Inc., 1 North Waukegan Rd., North Chicago, Illinois 60064, United States.
Affinity capture (AC) combined with mass spectrometry (MS)-based proteomics is highly utilized throughout the drug discovery pipeline to determine small-molecule target selectivity and engagement. However, the tedious sample preparation steps and time-consuming MS acquisition process have limited its use in a high-throughput format. Here, we report an automated workflow employing biotinylated probes and streptavidin magnetic beads for small-molecule target enrichment in the 96-well plate format, ending with direct sampling from EvoSep Solid Phase Extraction tips for liquid chromatography (LC)-tandem mass spectrometry (MS/MS) analysis.
View Article and Find Full Text PDFPlasma proteomic technologies are rapidly evolving and of critical importance to the field of biomedical research. Here we report a technical evaluation of six notable plasma proteomic technologies - unenriched (Neat), Acid depletion, PreOmics ENRICHplus, Mag-Net, Seer Proteograph XT, Olink Explore HT. The methods were compared on proteomic depth, reproducibility, linearity, tolerance to lipid interference, and limit of detection/quantification.
View Article and Find Full Text PDFAnnu Rev Anal Chem (Palo Alto Calif)
January 2025
Department of Chemistry, Michigan State University, East Lansing, Michigan, USA; email:
Mass spectrometry (MS)-based top-down proteomics (TDP) characterizes proteoforms in cells, tissues, and biological fluids (e.g., human plasma) to better our understanding of protein function and to discover new protein biomarkers for disease diagnosis and therapeutic development.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Hong Kong SAR, 999077, China.
The distribution and bioaccumulation of environmental pollutants are essential to understanding their toxicological mechanism. However, achieving spatial resolution at the subtissue level is still challenging. Perfluorooctanesulfonate (PFOS) is a persistent environmental pollutant with widespread occurrence.
View Article and Find Full Text PDFFront Mol Biosci
January 2025
Department of Forensic Medicine, Medical University of Bialystok, Bialystok, Poland.
Introduction: Accurate post-mortem interval (PMI) estimation is essential in forensic investigations. Although various methods for PMI determination have been developed, only an approximate estimation is still achievable, and an accurate PMI indication is still challenging. Therefore, in this study, we employed gas chromatography-mass spectrometry (GC-MS)-based metabolomics to assess post-mortem changes in porcine blood samples collected with and without the addition of anticoagulant (EDTA).
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