Workflow for large-scale analysis of melanoma tissue samples

Q4 Biochemistry, Genetics and Molecular Biology EuPA Open Proteomics Pub Date : 2015-09-01 DOI:10.1016/j.euprot.2015.07.011
Maria E. Yakovleva , Charlotte Welinder , Yutaka Sugihara , Krzysztof Pawłowski , Melinda Rezeli , Elisabet Wieslander , Johan Malm , György Marko-Varga
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引用次数: 6

Abstract

The aim of the present study was to create an optimal workflow for analysing a large cohort of malignant melanoma tissue samples. Samples were lysed with urea and enzymatically digested with trypsin or trypsin/Lys C. Buffer exchange or dilution was used to reduce urea concentration prior to digestion. The tissue digests were analysed directly or following strong cation exchange (SCX) fractionation by nano LC–MS/MS. The approach which resulted in the largest number of protein IDs involved a buffer exchange step before enzymatic digestion with trypsin and chromatographic separation in 120 min gradient followed by SCX–RP separation of peptides.

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大规模分析黑色素瘤组织样本的工作流程
本研究的目的是为分析大量恶性黑色素瘤组织样本创建一个最佳工作流程。样品用尿素裂解,用胰蛋白酶或胰蛋白酶/赖氨酸c酶解。酶解前用缓冲液交换或稀释降低尿素浓度。采用纳米LC-MS /MS对组织消化液进行直接或强阳离子交换(SCX)分馏分析。在胰蛋白酶酶切之前进行缓冲交换步骤,然后以120分钟的梯度进行色谱分离,然后进行SCX-RP分离,从而获得最多的蛋白质id。
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EuPA Open Proteomics
EuPA Open Proteomics Biochemistry, Genetics and Molecular Biology-Biochemistry
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103 days
期刊最新文献
Proceedings of the EuBIC-MS 2020 Developers’ Meeting Editorial: The next generation in (EuPA Open) Proteomics Aims & scope Proceedings of the EuBIC Winter School 2019 Introducing the YPIC challenge
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