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时间序列蛋白质组分析

Time series proteome profiling.

作者信息

Formolo Catherine A, Mintz Michelle, Takanohashi Asako, Brown Kristy J, Vanderver Adeline, Halligan Brian, Hathout Yetrib

机构信息

Center for Genetic Medicine Research, Children's National Medical Center, Washington, DC, USA.

出版信息

Methods Mol Biol. 2011;694:365-77. doi: 10.1007/978-1-60761-977-2_22.

DOI:10.1007/978-1-60761-977-2_22
PMID:21082445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4151876/
Abstract

This chapter provides a detailed description of a method used to study temporal changes in the endoplasmic reticulum (ER) proteome of fibroblast cells exposed to ER stress agents (tunicamycin and thapsigargin). Differential stable isotope labeling by amino acids in cell culture (SILAC) is used in combination with crude ER fractionation, SDS-PAGE and LC-MS/MS to define altered protein expression in tunicamycin or thapsigargin treated cells versus untreated cells. Treated and untreated cells are harvested at different time points, mixed at a 1:1 ratio and processed for ER fractionation. Samples containing labeled and unlabeled proteins are separated by SDS-PAGE, bands are digested with trypsin and the resulting peptides analyzed by LC-MS/MS. Proteins are identified using Bioworks software and the Swiss-Prot database, whereas ratios of protein expression between treated and untreated cells are quantified using ZoomQuant software. Data visualization is facilitated by GeneSpring software.

摘要

本章详细描述了一种用于研究暴露于内质网(ER)应激剂(衣霉素和毒胡萝卜素)的成纤维细胞内质网蛋白质组随时间变化的方法。细胞培养中氨基酸的差异稳定同位素标记(SILAC)与粗内质网分级分离、SDS-PAGE和LC-MS/MS相结合,以确定衣霉素或毒胡萝卜素处理的细胞与未处理的细胞中蛋白质表达的变化。在不同时间点收获处理过的和未处理的细胞,以1:1的比例混合并进行内质网分级分离处理。含有标记和未标记蛋白质的样品通过SDS-PAGE分离,条带用胰蛋白酶消化,所得肽段通过LC-MS/MS分析。使用Bioworks软件和Swiss-Prot数据库鉴定蛋白质,而使用ZoomQuant软件定量处理过的和未处理的细胞之间蛋白质表达的比率。GeneSpring软件有助于数据可视化。

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本文引用的文献

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Proteomic profiling of glucocorticoid-exposed myogenic cells: Time series assessment of protein translocation and transcription of inactive mRNAs.糖皮质激素暴露的成肌细胞的蛋白质组学分析:蛋白质易位和无活性mRNA转录的时间序列评估。
Proteome Sci. 2009 Jul 30;7:26. doi: 10.1186/1477-5956-7-26.
2
18O2-labeling in quantitative proteomic strategies: a status report.定量蛋白质组学策略中的18O2标记:现状报告。
J Proteome Res. 2009 May;8(5):2140-3. doi: 10.1021/pr8009879.
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MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.MaxQuant可实现高肽段鉴定率、个体化的百万分之一级质量精度以及全蛋白质组范围的蛋白质定量。
Nat Biotechnol. 2008 Dec;26(12):1367-72. doi: 10.1038/nbt.1511. Epub 2008 Nov 30.
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Time series proteome profiling to study endoplasmic reticulum stress response.用于研究内质网应激反应的时间序列蛋白质组分析
J Proteome Res. 2008 Jun;7(6):2435-44. doi: 10.1021/pr700842m. Epub 2008 Apr 25.
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A quantitative analysis software tool for mass spectrometry-based proteomics.一种用于基于质谱的蛋白质组学的定量分析软件工具。
Nat Methods. 2008 Apr;5(4):319-22. doi: 10.1038/nmeth.1195. Epub 2008 Mar 16.
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ZoomQuant: an application for the quantitation of stable isotope labeled peptides.ZoomQuant:一种用于定量稳定同位素标记肽段的应用程序。
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Stable isotope labeling with amino acids in cell culture (SILAC) for studying dynamics of protein abundance and posttranslational modifications.用于研究蛋白质丰度动态变化和翻译后修饰的细胞培养中氨基酸稳定同位素标记法(SILAC)。
Sci STKE. 2005 Jan 18;2005(267):pl2. doi: 10.1126/stke.2672005pl2.
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Quantitative analysis of complex protein mixtures using isotope-coded affinity tags.使用同位素编码亲和标签对复杂蛋白质混合物进行定量分析。
Nat Biotechnol. 1999 Oct;17(10):994-9. doi: 10.1038/13690.