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TRANSPIRE:一种从空间蛋白质组学数据集阐明细胞内蛋白质运动的计算流程。

TRANSPIRE: A Computational Pipeline to Elucidate Intracellular Protein Movements from Spatial Proteomics Data Sets.

机构信息

Department of Molecular Biology, Princeton University, Washington Road, Princeton, New Jersey 08544, United States.

出版信息

J Am Soc Mass Spectrom. 2020 Jul 1;31(7):1422-1439. doi: 10.1021/jasms.0c00033. Epub 2020 May 29.

Abstract

Protein localization is paramount to protein function, and the intracellular movement of proteins underlies the regulation of numerous cellular processes. Given advances in spatial proteomics, the investigation of protein localization at a global scale has become attainable. Also becoming apparent is the need for dedicated analytical frameworks that allow the discovery of global intracellular protein movement events. Here, we describe TRANSPIRE, a computational pipeline that facilitates TRanslocation ANalysis of SPatIal pRotEomics data sets. TRANSPIRE leverages synthetic translocation profiles generated from organelle marker proteins to train a probabilistic Gaussian process classifier that predicts changes in protein distribution. This output is then integrated with information regarding co-translocating proteins and complexes and enriched gene ontology associations to discern the putative regulation and function of movement. We validate TRANSPIRE performance for predicting nuclear-cytoplasmic shuttling events. Analyzing an existing data set of nuclear and cytoplasmic proteomes during Kaposi Sarcoma-associated herpesvirus (KSHV)-induced cellular mRNA decay, we confirm that TRANSPIRE readily discerns expected translocations of RNA binding proteins. We next investigate protein translocations during infection with human cytomegalovirus (HCMV), a β-herpesvirus known to induce global organelle remodeling. We find that HCMV infection induces broad changes in protein localization, with over 800 proteins predicted to translocate during virus replication. Evident are protein movements related to HCMV modulation of host defense, metabolism, cellular trafficking, and Wnt signaling. For example, the low-density lipoprotein receptor (LDLR) translocates to the lysosome early in infection in conjunction with its degradation, which we validate by targeted mass spectrometry. Using microscopy, we also validate the translocation of the multifunctional kinase DAPK3, a movement that may contribute to HCMV activation of Wnt signaling.

摘要

蛋白质定位对于蛋白质功能至关重要,而蛋白质在细胞内的运动则是许多细胞过程调节的基础。随着空间蛋白质组学的发展,对蛋白质在全局范围内定位的研究已经成为可能。同时也明显需要专门的分析框架,以发现全局细胞内蛋白质运动事件。在这里,我们描述了 TRANSPIRE,这是一个计算管道,它促进了对空间蛋白质组学数据集的易位分析。TRANSPIRE 利用细胞器标记蛋白生成的合成易位谱来训练概率高斯过程分类器,该分类器预测蛋白质分布的变化。然后,将此输出与关于共易位蛋白和复合物的信息以及丰富的基因本体论关联进行整合,以辨别运动的潜在调节和功能。我们验证了 TRANSPIRE 预测核质穿梭事件的性能。在分析 Kaposi 肉瘤相关疱疹病毒(KSHV)诱导的细胞 mRNA 降解过程中的核质蛋白质组的现有数据集时,我们确认 TRANSPIRE 可以轻易识别 RNA 结合蛋白的预期易位。接下来,我们研究了人巨细胞病毒(HCMV)感染期间的蛋白质易位,HCMV 是一种已知诱导全局细胞器重塑的β疱疹病毒。我们发现 HCMV 感染诱导了蛋白质定位的广泛变化,超过 800 种蛋白质被预测在病毒复制过程中易位。与 HCMV 调节宿主防御、代谢、细胞运输和 Wnt 信号有关的蛋白质运动是显而易见的。例如,低密度脂蛋白受体(LDLR)在感染早期与降解一起易位到溶酶体,我们通过靶向质谱法验证了这一点。通过显微镜,我们还验证了多功能激酶 DAPK3 的易位,这种运动可能有助于 HCMV 激活 Wnt 信号。

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