In depth profiling of the cancer proteome from the flowthrough of standard RNA-preparation kits for precision oncology
Mundt, F.; Nielsen, A. B.; Duel, J. K.; Yde, C. W.; Eriksen, M. A.; Lassen, U.; Nielsen, F. C.; Rohrberg, K.; Mann, M.
10.1101/2023.05.12.540582 bioRxivShow abstract
Cancer is a highly heterogeneous disease, even within the same patient. Biopsies taken from different regions of a tumor may stand in stark molecular contrast to each other. Therefore, the ability to generate meaningful data from multiple platforms using the same biopsy is crucial for translating multi-omics characterizations into the clinic. However, it is generally a cumbersome and lengthy procedure to generate DNA, RNA and protein material from the same biopsy. The Qiagen AllPrep kit is an accessible, straightforward, and widely used kit in clinics worldwide to process biopsies and generate genomic and transcriptomic data from tumors. We aimed to determine if high-quality proteomics data could also be obtained from the remaining material. Here, we investigated procedures for generating deep and quantitatively accurate proteomic information in high throughput from Qiagen AllPrep flowthroughs. With a number of refinements, we obtain in excess of 10,000 quantified proteins, from 60 samples per day, achieving a substantial coverage of the total proteome. Additionally, we successfully characterize the tumors using phosphoproteomics. Combining a standard kit with in-depth proteomics will be an attractive approach for clinics seeking to implement multi-omics-based precision oncology.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Quantitative analysis of non-histone lysine methylation sites and lysine demethylases in breast cancer cell lines 96%
- A machine learning strategy that leverages large datasets to boost statistical power in small-scale experiments 95%
- The use of hybrid data-dependent and -independent acquisition spectral libraries empower dual-proteome profiling 95%
Similar papers in this journal
- Parallel Analyses by Mass Spectrometry (MS) and Reverse Phase Protein Array (RPPA) Reveal Complementary Proteomic Profiles in Triple-Negative Breast Cancer (TNBC) Patient Tissues and Cell Cultures 97%
- An economic and robust TMT labeling approach for high throughput proteomic and metaproteomic analysis 95%
- Data-Independent Acquisition and Quantification of Extracellular Matrix from Human Lung in Chronic Inflammation-Associated Carcinomas 95%