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利用过氧钒酸盐 BOOST 通道的串联质量标签方法可更深入地定量分析酪氨酸磷酸化蛋白质组。

Tandem Mass Tag Approach Utilizing Pervanadate BOOST Channels Delivers Deeper Quantitative Characterization of the Tyrosine Phosphoproteome.

机构信息

Department of Molecular Pharmacology, Physiology, and Biotechnology, Brown University, Providence, Rhode Island.

Department of Molecular Biology, Cell Biology and Biochemistry, Brown University, Providence, Rhode Island.

出版信息

Mol Cell Proteomics. 2020 Apr;19(4):730-743. doi: 10.1074/mcp.TIR119.001865. Epub 2020 Feb 18.

Abstract

Dynamic tyrosine phosphorylation is fundamental to a myriad of cellular processes. However, the inherently low abundance of tyrosine phosphorylation in the proteome and the inefficient enrichment of phosphotyrosine(pTyr)-containing peptides has led to poor pTyr peptide identification and quantitation, critically hindering researchers' ability to elucidate signaling pathways regulated by tyrosine phosphorylation in systems where cellular material is limited. The most popular approaches to wide-scale characterization of the tyrosine phosphoproteome use pTyr enrichment with pan-specific, anti-pTyr antibodies from a large amount of starting material. Methods that decrease the amount of starting material and increase the characterization depth of the tyrosine phosphoproteome while maintaining quantitative accuracy and precision would enable the discovery of tyrosine phosphorylation networks in rarer cell populations. To achieve these goals, the BOOST (road-spectrum ptimization f elective riggering) method leveraging the multiplexing capability of tandem mass tags (TMT) and the use of pervanadate (PV) boost channels (cells treated with the broad-spectrum tyrosine phosphatase inhibitor PV) selectively increased the relative abundance of pTyr-containing peptides. After PV boost channels facilitated selective fragmentation of pTyr-containing peptides, TMT reporter ions delivered accurate quantitation of each peptide for the experimental samples while the quantitation from PV boost channels was ignored. This method yielded up to 6.3-fold boost in pTyr quantification depth of statistically significant data derived from contrived ratios, compared with TMT without PV boost channels or intensity-based label-free (LF) quantitation while maintaining quantitative accuracy and precision, allowing quantitation of over 2300 unique pTyr peptides from only 1 mg of T cell receptor-stimulated Jurkat T cells. The BOOST strategy can potentially be applied in analyses of other post-translational modifications where treatments that broadly elevate the levels of those modifications across the proteome are available.

摘要

动态酪氨酸磷酸化是许多细胞过程的基础。然而,由于蛋白质组中酪氨酸磷酸化的含量本来就低,以及含有磷酸酪氨酸(pTyr)的肽的富集效率不高,导致 pTyr 肽的鉴定和定量效果不佳,严重限制了研究人员在细胞材料有限的情况下,阐明受酪氨酸磷酸化调节的信号通路的能力。目前,广泛研究酪氨酸磷酸化蛋白质组的最流行方法是使用大量起始材料的泛特异性抗-pTyr 抗体进行 pTyr 富集。减少起始材料的数量并提高酪氨酸磷酸化蛋白质组的特征深度,同时保持定量的准确性和精密度的方法,将能够在更稀有的细胞群体中发现酪氨酸磷酸化网络。为了实现这些目标,BOOST(road-spectrum ptimization f elective riggering)方法利用串联质量标签(TMT)的多路复用能力和过钒酸盐(PV)的使用boost 通道(用广谱酪氨酸磷酸酶抑制剂 PV 处理的细胞)选择性地增加了含有 pTyr 的肽的相对丰度。在 PV boost 通道促进含有 pTyr 的肽的选择性断裂后,TMT 报告离子为实验样品提供了每个肽的准确定量,而忽略了来自 PV boost 通道的定量。与没有 PV boost 通道的 TMT 或基于强度的无标签(LF)定量相比,该方法使来自人为比例的有统计学意义的数据的 pTyr 定量深度提高了 6.3 倍,与定量准确性和精密度保持一致,仅从 1 毫克 TCR 刺激的 Jurkat T 细胞中就可以定量超过 2300 个独特的 pTyr 肽。BOOST 策略可能适用于其他翻译后修饰的分析,其中可以使用广泛提高蛋白质组中这些修饰水平的处理方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ab87/7124467/5f278affa8b2/zjw0042061040006.jpg

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