In depth profiling of the cancer proteome from the flowthrough of standard RNA-preparation kits for precision oncology

精确肿瘤学 蛋白质组 仿形(计算机编程) 核糖核酸 计算生物学 肿瘤科 化学 色谱法 医学 癌症 内科学 计算机科学 生物 生物化学 基因 操作系统
作者
Filip Mundt,Annelaura Bach Nielsen,Juanjuan Wang,Josephine Kerzel Duel,Christina W. Yde,Martina Eriksen,Ulrik Lassen,Finn Cilius Nielsen,Kristoffer Rohrberg,Matthias Mann
标识
DOI:10.1101/2023.05.12.540582
摘要

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.
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