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Maximizing Phosphoproteome Profiling Using Mascot, PEAKS Studio, Proteome Discoverer and OMSSA Software Packages

机译:使用吉祥物,峰值工作室,蛋白质组发现者和omssa软件包最大化磷脂蛋白酶谱

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Post-translational modifications (PTM) are chemical alterations to proteins that are essential to diversity of protein functions. One of the most commonly studied PTM is phosphorylation, a reversible PTM of proteins that plays a major role in the regulations of many protein functions such as cell cycle, enzyme activation/deactivation and signal transduction etc. However, quantitative analysis of phosphorylation profiling by mass spectrometry is a highly challenging task and requires enrichment for either phosphoproteins or phosphopeptides. Enrichment at the protein level will provide better protein identification with a risk of lower phosphorlyation identification. We chose to enrich at the peptide level to increase the chances of identifying phosphorylated peptides. Methods: Trypsin digested whole cell lysates of monocytes derived macrophages- were processed using TiO2 Phosphopeptide Enrichment and Clean-up Kit (Pierce, Inc.), then injected onto nano-LC-LTQ Orbitrap with ETD in configuration of HCD and ETD as two microscans complementing information from MS/MS spectra. The acquisition method was created in data-dependent mode with one precursor scan in the Orbitrap, followed by fragmentation of the 4 most abundant peaks in both ETD detected in the LTQ, and in HCD detected in the Orbitrap. Tolerances were 10ppm for the Orbitrap precursors and fragments and 0.8Da for the ETD fragments. The following dynamic modifications were applied: Phospho/+79.966Da (S, T, Y), Oxidation/+15.995Da (M), Carboxymethyl/+58.005Da (C). Data were searched using Proteome Discoverer, PEAKS Studio, OMSSA and Mascot. Preliminary data: In this study we are used human monocytes obtained from elutriation. These cells are widely accepted as a biological system to test various aspects of innate immunity responses to viral and bacterial infections. Cells were lysed using standard protocol with protease inhibitor and sodium vanadate to inhibit phosphatases. Typical lysis yields 100 μg of protein from 1×106 cells. This whole cell lysate (WCL) is subjected to overnight tryptic digest and resulting peptides are enriched using TiO2 spin columns. Preliminary results show that 100 μg of digested WCL passed through TiO2 columns yielded identification of approximately 200 phosphopeptides ranging from low to very high confidence. The number of identified phosphopeptides is dependent on the stimulation or activation of cells and the monocytes used in this study are at their resting state with reduced metabolic activity. Optimizing the yield of phosphoproteome can be multi-fold: 1. Use more initial cell lysate, 2. Use activated cells, 3. Use additional fragmentation of HCD, and 4. Improvement of data extraction. For the latter, the software available for peptide identification and localization of the phosphate group (S) will have major impact on final output. Therefore to optimize phosphoproteome profiling, we used 200 and 600 μg of initial WCL and we present here in this study the comparison of the output of 4 search algorithms on the identification of phosphopeptides. Novel aspect: To maximize identification and localization of phosphate PTM by combining multiple software packages.
机译:翻译后修饰(PTM)是化学改变到要的蛋白质的功能多样性必需的蛋白质。其中最常见的研究PTM的是磷酸化蛋白质的可逆的PTM播放中的许多蛋白质功能的法规,如细胞周期中起主要作用,酶的激活/停用和信号转导等,但质量剖析磷酸化的定量分析法是一个极具挑战性的任务,需要对无论是磷酸化或磷酸化肽富集。富集在蛋白水平将提供更好的蛋白质鉴定与低phosphorlyation识别的风险。我们选择在肽水平,充实提高识别磷酸化肽的机会。方法:胰蛋白酶消化的单核细胞的全细胞裂解物衍生macrophages-使用的TiO 2磷酸化肽的丰富和被加工清理试剂盒(Pierce公司),然后注射到纳米LC-LTQ Orbitrap质谱与在ETD HCD和ETD的结构为两个微扫描补充从MS / MS谱的信息。采集方法是在从属数据模式创建与在轨道阱一种前体的扫描,随后在两个ETD 4个最丰富的峰的碎片在LTQ检测到,并且在HCD在轨道阱检测。公差者为轨道阱前体和碎片和0.8Da的ETD片段为10ppm。以下动态修改施加:磷酸/ + 79.966Da(S,T,Y),氧化/ + 15.995Da(M),羧甲基/ + 58.005Da(C)。利用蛋白质组发现者,PEAKS工作室,OMSSA和吉祥物的数据进行了全面搜查。初步数据:在本研究中,我们从淘洗获得使用人单核细胞。这些细胞作为生物系统来测试的先天免疫反应,病毒和细菌感染的各个方面广泛接受。细胞使用标准协议与蛋白酶抑制剂和钒酸钠以抑制磷酸酶裂解。典型的裂解产生从1×106个细胞100微克蛋白质。此全细胞裂解(WCL)进行过夜胰蛋白酶消化和产生的肽是使用二氧化钛旋转柱富集。初步结果表明,100微克消化的WCL的通过二氧化钛列通过产生大约200磷酸从低到非常高的置信度识别。识别磷酸化肽的数目是依赖于刺激或细胞的活化和在本研究中使用单核细胞是在与代谢活性降低它们的静止状态。优化磷酸化蛋白质的产率可以是多折叠:1.使用多个初始细胞裂解物,2.使用活化细胞,3.使用HCD的额外碎片,和4的数据提取方法的改进。对于后者,可用于肽标识和磷酸基团(S)的本地化该软件将会对最终输出重大影响。因此,为了优化磷酸化分析,我们使用了200和初始WCL的600微克和我们在这里提出在这项研究中的4种搜索算法上的磷酸肽的识别的输出的比较。小说方面:通过合并多个软件包最大限度地识别和磷酸盐PTM的定位。

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