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本文引用的文献

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Phosphoproteins in extracellular vesicles as candidate markers for breast cancer.细胞外囊泡中的磷蛋白作为乳腺癌的候选标志物。
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Deep Phosphotyrosine Proteomics by Optimization of Phosphotyrosine Enrichment and MS/MS Parameters.通过优化磷酸酪氨酸富集和串联质谱参数进行深度磷酸酪氨酸蛋白质组学研究
J Proteome Res. 2017 Feb 3;16(2):1077-1086. doi: 10.1021/acs.jproteome.6b00576. Epub 2016 Dec 5.
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iPTMnet: Integrative Bioinformatics for Studying PTM Networks.iPTMnet:用于研究蛋白质翻译后修饰网络的整合生物信息学
Methods Mol Biol. 2017;1558:333-353. doi: 10.1007/978-1-4939-6783-4_16.
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Robust, Sensitive, and Automated Phosphopeptide Enrichment Optimized for Low Sample Amounts Applied to Primary Hippocampal Neurons.针对原代海马神经元低样本量应用优化的稳健、灵敏且自动化的磷酸肽富集方法。
J Proteome Res. 2017 Feb 3;16(2):728-737. doi: 10.1021/acs.jproteome.6b00753. Epub 2016 Dec 6.
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Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling.使用TMT 10重等压标记对乳腺肿瘤细胞系中的全球蛋白质表达和磷酸化进行深度覆盖。
J Proteome Res. 2017 Mar 3;16(3):1121-1132. doi: 10.1021/acs.jproteome.6b00374. Epub 2017 Feb 3.
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Uncovering the SUMOylation and ubiquitylation crosstalk in human cells using sequential peptide immunopurification.使用连续肽免疫沉淀技术揭示人细胞中的 SUMOylation 和泛素化串扰。
Nat Commun. 2017 Jan 18;8:14109. doi: 10.1038/ncomms14109.
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A Global Analysis of the Receptor Tyrosine Kinase-Protein Phosphatase Interactome.受体酪氨酸激酶-蛋白磷酸酶相互作用组的全球分析
Mol Cell. 2017 Jan 19;65(2):347-360. doi: 10.1016/j.molcel.2016.12.004. Epub 2017 Jan 5.
8
A Strategy to Combine Sample Multiplexing with Targeted Proteomics Assays for High-Throughput Protein Signature Characterization.一种将样本多路复用与靶向蛋白质组学分析相结合以进行高通量蛋白质特征表征的策略。
Mol Cell. 2017 Jan 19;65(2):361-370. doi: 10.1016/j.molcel.2016.12.005. Epub 2017 Jan 5.
9
Effects of 31 FDA approved small-molecule kinase inhibitors on isolated rat liver mitochondria.31种美国食品药品监督管理局批准的小分子激酶抑制剂对分离的大鼠肝脏线粒体的影响。
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An Optimized Chromatographic Strategy for Multiplexing In Parallel Reaction Monitoring Mass Spectrometry: Insights from Quantitation of Activated Kinases.一种用于并行反应监测质谱多重分析的优化色谱策略:来自活化激酶定量分析的见解
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磷酸化蛋白质组学的最新进展及其在神经疾病中的应用。

Recent advances in phosphoproteomics and application to neurological diseases.

机构信息

Department of Chemistry, Purdue University, West Lafayette, IN 47907, USA.

出版信息

Analyst. 2017 Nov 20;142(23):4373-4387. doi: 10.1039/c7an00985b.

DOI:10.1039/c7an00985b
PMID:29094114
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5708141/
Abstract

Phosphorylation has an incredible impact on the biological behavior of proteins, altering everything from intrinsic activity to cellular localization and complex formation. It is no surprise then that this post-translational modification has been the subject of intense study and that, with the advent of faster, more accurate instrumentation, the number of large-scale mass spectrometry-based phosphoproteomic studies has swelled over the past decade. Recent developments in sample preparation, phosphorylation enrichment, quantification, and data analysis strategies permit both targeted and ultra-deep phosphoproteome profiling, but challenges remain in pinpointing biologically relevant phosphorylation events. We describe here technological advances that have facilitated phosphoproteomic analysis of cells, tissues, and biofluids and note applications to neuropathologies in which the phosphorylation machinery may be dysregulated, much as it is in cancer.

摘要

磷酸化对蛋白质的生物学行为有巨大影响,从固有活性到细胞定位和复合物形成,一切都受到影响。因此,这种翻译后修饰成为了深入研究的主题,并且随着更快、更准确的仪器的出现,基于大规模质谱的磷酸蛋白质组学研究数量在过去十年中激增。在样品制备、磷酸化富集、定量和数据分析策略方面的最新进展允许进行靶向和超深度磷酸蛋白质组学分析,但在确定生物学上相关的磷酸化事件方面仍然存在挑战。我们在这里描述了促进细胞、组织和生物流体的磷酸蛋白质组分析的技术进步,并注意到这些技术在神经病理学中的应用,其中磷酸化机制可能失调,就像在癌症中一样。