iProXProteomicsMeng GongHomo Sapienshttp://www.iprox.org/page/project.html?id=IPX0002802000gongmeng@scu.edu.cnWest China Hospital, Sichuan UniversityiProXProteomics analysis is often troubled by high-abundance proteins in samples such as plasma. However, many surgical tissue samples inevitably have got contaminated with blood before cryopreservation. Selection of an appropriate method to minimize the effect of high-abundance proteins is important for proteomics analysis of blood contaminated tissues. Here, we investigated and compared the abilities of data-independent acquisition (DIA) and data-dependent acquisition (DDA) strategies for the proteomics analysis of blood contaminated clinical tissue samples. Twelve pairs of carcinoma and para-carcinoma tissue samples from lung cancer patients were used for proteomics assays separately by DIA and DDA, and the blood contamination level in samples was evaluated by contamination index (CI). Compared with the DDA strategy, DIA in whole exhibited much better analytical capabilities in proteomics analysis of these samples with more identified protein groups and a higher discovery of differential proteins. With CI value increasing, whether DIA or DDA showed decreasing analysis ability. However, for samples with high CI values, the DIA strategy still shows acceptable analytical capability and indicates better blood pollution resistance than the DDA strategy. Our results implied that for clinical tissue samples, particularly for those contaminated with blood, DIA strategy should be a preferred method in proteomics studies.A comparative study of data-dependent acquisition and data-independent acquisition in proteomics analysis of clinical lung cancer tissues constrained by blood contamination.Su Tao T, Zhong Yi Y, Zeng Weibiao W, Zhang Yong Y, Wang Shisheng S, Cheng Jingqiu J, Yang Hao H, Wei Yiping Y, Gong Meng MfalseA comparative study of data-dependent acquisition and data-independent acquisition in proteomics analysis of clinical lung cancer tissues constrained by blood contaminationProteomics has been used extensively in life mechanism studies, drug target and clinical disease diagnosis, and treatment research.Several clinical surgery tissue samples inevitably get contaminated with blood during cryopreservation. This might detrimentally affect the results obtained by the commonly used proteomics DDA data acquisition strategy.For disease research, each clinical sample is precious and sample collection usually takes months or years. Removal of unqualified samples before the experiment is necessary but regrettable. The present findings demonstrate that for clinical tissue samples, compared with DDA strategy, the data derived using DIA is more complete and more potential biomarkers can be identified. DIA strategies can effectively overcome the interference from blood contaminants, allowing greater utilization of existing frozen samples. DIA has excellent analytical capability and application prospects.Mon May 10 00:00:00 GMT+01:00 2021PXD025905960634870900