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本文引用的文献

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A modified FASP protocol for high-throughput preparation of protein samples for mass spectrometry.一种用于质谱分析的蛋白质样品高通量制备的改良FASP方案。
PLoS One. 2017 Jul 27;12(7):e0175967. doi: 10.1371/journal.pone.0175967. eCollection 2017.
2
Quick 96FASP for high throughput quantitative proteome analysis.快速 96FASP 高通量定量蛋白质组分析。
J Proteomics. 2017 Aug 23;166:1-7. doi: 10.1016/j.jprot.2017.06.019. Epub 2017 Jun 29.
3
Proteome-Wide Protein Expression Profiling Across Five Pancreatic Cell Lines.跨五种胰腺细胞系的全蛋白质组蛋白质表达谱分析
Pancreas. 2017 May/Jun;46(5):690-698. doi: 10.1097/MPA.0000000000000800.
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Improving Proteome Coverage and Sample Recovery with Enhanced FASP (eFASP) for Quantitative Proteomic Experiments.通过增强型FASP(eFASP)提高定量蛋白质组学实验的蛋白质组覆盖率和样品回收率。
Methods Mol Biol. 2017;1550:11-18. doi: 10.1007/978-1-4939-6747-6_2.
5
Nicotine-induced protein expression profiling reveals mutually altered proteins across four human cell lines.尼古丁诱导的蛋白质表达谱分析揭示了四种人类细胞系中相互改变的蛋白质。
Proteomics. 2017 Jan;17(1-2). doi: 10.1002/pmic.201600319. Epub 2016 Dec 21.
6
Quantitative mass spectrometry-based multiplexing compares the abundance of 5000 S. cerevisiae proteins across 10 carbon sources.基于定量质谱的多重分析比较了5000种酿酒酵母蛋白质在10种碳源中的丰度。
J Proteomics. 2016 Oct 4;148:85-93. doi: 10.1016/j.jprot.2016.07.005. Epub 2016 Jul 16.
7
A Triple Knockout (TKO) Proteomics Standard for Diagnosing Ion Interference in Isobaric Labeling Experiments.三重敲除(TKO)蛋白质组学标准用于诊断同位标记实验中的离子干扰。
J Am Soc Mass Spectrom. 2016 Oct;27(10):1620-5. doi: 10.1007/s13361-016-1434-9. Epub 2016 Jul 11.
8
Deducing the functional characteristics of the human selenoprotein SELK from the structural properties of its intrinsically disordered C-terminal domain.从人类硒蛋白SELK内在无序的C末端结构域的结构特性推断其功能特征。
Mol Biosyst. 2016 Mar;12(3):758-72. doi: 10.1039/c5mb00679a. Epub 2016 Jan 6.
9
Evaluation of Rapigest Efficacy for the Digestion of Proteins from Cell Cultures and Heart Tissue.瑞比吉(Rapigest)对细胞培养物和心脏组织中蛋白质消化作用的效果评估。
Clujul Med. 2014;87(4):258-62. doi: 10.15386/cjmed-367. Epub 2014 Nov 12.
10
Global Analysis of Protein Expression and Phosphorylation Levels in Nicotine-Treated Pancreatic Stellate Cells.尼古丁处理的胰腺星状细胞中蛋白质表达和磷酸化水平的全局分析
J Proteome Res. 2015 Oct 2;14(10):4246-56. doi: 10.1021/acs.jproteome.5b00398. Epub 2015 Aug 24.

基于滤器的蛋白质消化(FPD):一种无去污剂和支架的 TMT 工作流程策略。

Filter-Based Protein Digestion (FPD): A Detergent-Free and Scaffold-Based Strategy for TMT Workflows.

机构信息

Department of Cell Biology, Harvard Medical School , Boston, Massachusetts 02115, United States.

出版信息

J Proteome Res. 2018 Mar 2;17(3):1227-1234. doi: 10.1021/acs.jproteome.7b00840. Epub 2018 Feb 13.

DOI:10.1021/acs.jproteome.7b00840
PMID:29402085
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5984590/
Abstract

High-throughput proteome profiling requires thorough optimization to achieve comprehensive analysis. We developed a filter aided sample preparation (FASP)-like, detergent-free method, termed Filter-Based Protein Digestion (FPD). We compared FPD to protein extraction methods commonly used in isobaric tag-based proteome profiling, namely trichloroacetic acid (TCA) and chloroform-methanol (C-M) precipitation. We divided a mammalian whole cell lysate from the SH-SY5Y neuroblastoma cell line for parallel protein processing with TCA (n = 3), C-M (n = 2), and FPD using either 10 kDa (n = 3) or 30 kDa (n = 3) molecular weight cutoff membranes. We labeled each sample with tandem mass tag (TMT) reagents to construct a TMT11-plex experiment. In total, 8654 proteins were quantified across all samples. Pairwise comparisons showed very little deviation for individual protein abundance measurements between the two FPD methods, whereas TCA and FPD showed the most difference. Specifically, membrane proteins were more readily quantified when samples were processed using TCA precipitation than other methods tested. However, globally, only 4% of proteins differed greater than 4-fold in the most divergent pair of protein extraction methods (i.e., FPD10 and TCA). We conclude that the detergent-free FPD strategy, particularly using the faster-flowing 30 kDa filter, is a seamless alteration to high-throughput TMT workflows.

摘要

高通量蛋白质组分析需要进行彻底的优化,才能实现全面分析。我们开发了一种类似于滤过辅助样品制备(FASP)、无去污剂的方法,称为基于滤过的蛋白质消化(FPD)。我们将 FPD 与基于等压标签的蛋白质组分析中常用的蛋白质提取方法(即三氯乙酸(TCA)和氯仿-甲醇(C-M)沉淀)进行了比较。我们将来自 SH-SY5Y 神经母细胞瘤细胞系的哺乳动物全细胞裂解物分成三份,分别用 TCA(n=3)、C-M(n=2)和 FPD(使用 10 kDa 或 30 kDa 分子量截止膜)进行平行蛋白质处理。我们用串联质量标签(TMT)试剂标记每个样品,构建了一个 TMT11 plex 实验。总共在所有样品中定量了 8654 种蛋白质。成对比较显示,两种 FPD 方法之间单个蛋白质丰度测量值的差异非常小,而 TCA 和 FPD 之间的差异最大。具体来说,当使用 TCA 沉淀处理样品时,膜蛋白更容易定量。然而,总体而言,只有 4%的蛋白质在最具差异的两种蛋白质提取方法(即 FPD10 和 TCA)之间差异超过 4 倍。我们得出结论,无去污剂的 FPD 策略,特别是使用流速更快的 30 kDa 滤膜,是高通量 TMT 工作流程的无缝改变。