In this study, we employed the dithiothreitol-based protein equalisation technique and analytical proteomics to better understand myeloma diseases by comparing the proteomes of pellets and supernatants formed upon application of DTT on serum samples. The number of unique proteins found in pellets was 252 for healthy individuals and 223 for multiple myeloma patients. The comparison of these proteomes showed 97 dysregulated proteins.
View Article and Find Full Text PDFBackground: This study investigates the proteomic landscapes of chromophobe renal cell carcinoma (chRCC) and renal oncocytomas (RO), two subtypes of renal cell carcinoma that together account for approximately 10% of all renal tumors. Despite their histological similarities and shared origins, chRCC is a malignant tumor necessitating aggressive intervention, while RO, a benign growth, is often subject to overtreatment due to difficulties in accurate differentiation.
Methods: We conducted a label-free quantitative proteomic analysis on solid biopsies of chRCC (n = 5), RO (n = 5), and normal adjacent tissue (NAT, n = 5).
Normalization is a crucial step in proteomics data analysis as it enables data adjustment and enhances comparability between datasets by minimizing multiple sources of variability, such as sampling, sample handling, storage, treatment, and mass spectrometry measurements. In this study, we investigated different normalization methods, including Z-score normalization, median divide normalization, and quantile normalization, to evaluate their performance using a case study based on renal cell carcinoma datasets. Our results demonstrate that when comparing datasets by pairs, both the Z-score and quantile normalization methods consistently provide better results in terms of the number of proteins identified and quantified as well as in identifying statistically significant up or down-regulated proteins.
View Article and Find Full Text PDFBladder cancer (BCa) is a prevalent disease with a high risk of aggressive recurrence in T1-stage patients. Despite the efforts to anticipate recurrence, a reliable method has yet to be developed. In this work, we employed high-resolution mass spectrometry to compare the urinary proteome of T1-stage BCa patients with recurring versus non-recurring disease to uncover actionable clinical information predicting recurrence.
View Article and Find Full Text PDFBackground: Monitoring bladder cancer over time requires invasive and costly procedures. Less invasive approaches are required using readily available biological samples such as urine. In this study, we demonstrate a method for longitudinal analysis of the urine proteome to monitor the disease course in patients with bladder cancer.
View Article and Find Full Text PDFWe propose a new high-throughput ultrafast method for large-scale proteomics approaches by speeding up the classic filter aided sample preparation protocol, FASP, from overnight to 2.5 h. Thirty-six samples can be treated in 2.
View Article and Find Full Text PDFWe present a method to preserve and process urine proteins for proteomic analysis in a filter aided sample preparation (FASP) format. The method combines concentration of urine proteins in ultrafiltration devices, their thermal stabilization, allowing long term storage of the samples, and filter aided sample preparation. Proteomes of four different urines were preserved during 48 h and 6 months using (i) the classic freeze preservation at -20 °C, (ii) snap-heated freeze-free preservation at laboratory temperature (20 °C) and (iii) snap-heated preservation at -60 °C.
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