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Feasibility of Phosphoproteomics on Leftover Samples After RNA Extraction With Guanidinium Thiocyanate

机译:用硫氰酸胍脱氰酸胍萃取后剩余样品磷蛋白酶的可行性

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摘要

In daily practice, different types of biomolecules are usually extracted for large-scale “omics” analysis with tailored protocols. However, when sample material is limited, an all-in-one strategy is preferable. Although lysis of cells and tissues with urea is widely used for phosphoproteomic applications, DNA, RNA, and proteins can be simultaneously extracted from small samples using acid guanidinium thiocyanate–phenol–chloroform (AGPC). Use of AGPC for mass spectrometry–based phosphoproteomics was reported but has not yet been thoroughly evaluated against a classical phosphoproteomic protocol. Here we compared urea- with AGPC-based protein extraction, profiling phosphorylations in the DNA damage response pathway after ionizing irradiation of U2OS cells as proof of principle. On average we identified circa 9000 phosphosites per sample with both extraction methods. Moreover, we observed high similarity of phosphosite characteristics (e.g., 94% shared class 1 identifications) and deduced kinase activities (e.g., ATM, ATR, CHEK1/2, PRKDC). We furthermore extended our comparison to murine and human tissue samples yielding similar and highly correlated results for both extraction protocols. AGPC-based sample extraction can thus replace common cell lysates for phosphoproteomic workflows and may thus be an attractive way to obtain input material for multiple omics workflows, yielding several data types from a single sample.
机译:在日常实践中,通常用定制的协议进行大规模的“OMIC”分析,通常提取不同类型的生物分子。然而,当样品材料有限时,优选一体化策略。尽管含有尿素的细胞和组织的裂解广泛用于磷蛋白蛋白质应用,可以使用酸性硫氰酸苯酯 - 苯酚 - 氯仿(AGPC)从小样品中同时提取DNA,RNA和蛋白质。报告了使用AGPC进行质谱磷蛋白酶的磷蛋白酶,但尚未彻底评估典型的磷蛋白酶方案。在这里,我们将尿素与基于AGPC的蛋白质提取进行比较,在电离U2OS细胞的辐照后DNA损伤响应途径中的分析磷酸化作为原则的证据。平均而言,我们用两种萃取方法识别每种样品的9000个磷酸水。此外,我们观察到磷胶化特性的高相似性(例如,94%的共用类1鉴定)和推导的激酶活动(例如,ATM,ATR,Chek1 / 2,PRKDC)。我们进一步扩展了我们与鼠和人体组织样品的比较,从而产生类似的提取方案的相似且高度相关的结果。因此,基于AGPC的样品萃取可以替代磷蛋白蛋白酶工作流的常见细胞裂解物,因此可以是获得多个OMIC工作流的输入材料的有吸引力的方法,从单个样本产生几种数据类型。

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