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Dataset describing the development optimization and application of SRM/MRM based targeted proteomics strategy for quantification of potential biomarkers of EGFR TKI sensitivity

机译:数据集描述了基于SRM / MRM的靶向蛋白质组学策略的开发优化和应用用于量化EGFR TKI敏感性的潜在生物标记

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摘要

The data presented here describes the use of targeted proteomic assays to quantify potential biomarkers of Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI) sensitivity in lung adenocarcinoma and is related to the research article: “Quantitative targeted proteomic analysis of potential markers of tyrosine kinase inhibitor (TKI) sensitivity in EGFR mutated lung adenocarcinoma” [1]. This article describes the data associated with liquid chromatography coupled to multiple reaction monitoring (LC-MRM) method development which includes selection of an optimal transition list, retention time prediction and building of reverse calibration curves. Sample preparation and optimization which includes phosphotyrosine peptide enrichment via a combination of pan-phosphotyrosine antibodies is described. The dataset also consists of figures, tables and Excel files describing the quantitative results of testing these optimized methods in two lung adenocarcinoma cell lines with EGFR mutations.
机译:此处提供的数据描述了靶向蛋白质组学测定法对肺腺癌中表皮生长因子受体(EGFR)酪氨酸激酶抑制剂(TKI)敏感性的潜在生物标记物的定量使用,并且与以下研究文章有关:酪氨酸激酶抑制剂(TKI)在EGFR突变的肺腺癌中的敏感性” [1]。本文介绍了与液相色谱结合多反应监测(LC-MRM)方法开发相关的数据,包括选择最佳的过渡列表,保留时间预测和建立反向校准曲线。描述了样品制备和优化,其包括通过泛磷酸酪氨酸抗体的组合富集磷酸酪氨酸肽。该数据集还包括图形,表格和Excel文件,描述了在两种具有EGFR突变的肺腺癌细胞系中测试这些优化方法的定量结果。

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