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整合细胞内和细胞外蛋白质组学谱分析,深入研究前列腺癌模型中的细胞通讯。

Integrating intracellular and extracellular proteomic profiling for in-depth investigations of cellular communication in a model of prostate cancer.

机构信息

School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Carbone Cancer Center, University of Wisconsin-Madison, Madison, Wisconsin, USA.

出版信息

Proteomics. 2023 Nov;23(21-22):e2200287. doi: 10.1002/pmic.202200287. Epub 2023 May 24.

Abstract

Cellular communication is essential for cell-cell interactions, maintaining homeostasis and progression of certain disease states. While many studies examine extracellular proteins, the holistic extracellular proteome is often left uncaptured, leaving gaps in our understanding of how all extracellular proteins may impact communication and interaction. We used a cellular-based proteomics approach to more holistically profile both the intracellular and extracellular proteome of prostate cancer. Our workflow was generated in such a manner that multiple experimental conditions can be observed with the opportunity for high throughput integration. Additionally, this workflow is not limited to a proteomic aspect, as metabolomic and lipidomic studies can be integrated for a multi-omics workflow. Our analysis showed coverage of over 8000 proteins while also garnering insights into cellular communication in the context of prostate cancer development and progression. Identified proteins covered a variety of cellular processes and pathways, allowing for the investigation of multiple aspects into cellular biology. This workflow demonstrates advantages for integrating intra- and extracellular proteomic analyses as well as potential for multi-omics researchers. This approach possesses great value for future investigations into the systems biology aspects of disease development and progression.

摘要

细胞通讯对于细胞间相互作用、维持内稳态以及某些疾病状态的进展至关重要。尽管许多研究都在研究细胞外蛋白质,但完整的细胞外蛋白质组通常未被捕获,这使得我们对所有细胞外蛋白质如何影响通讯和相互作用的理解存在空白。我们使用基于细胞的蛋白质组学方法更全面地描绘前列腺癌的细胞内和细胞外蛋白质组。我们的工作流程以一种可以观察到多种实验条件的方式生成,并且具有高通量集成的机会。此外,该工作流程不仅限于蛋白质组学方面,因为可以整合代谢组学和脂质组学研究以实现多组学工作流程。我们的分析表明,该方法覆盖了超过 8000 种蛋白质,同时深入了解了前列腺癌发展和进展过程中的细胞通讯。鉴定出的蛋白质涵盖了多种细胞过程和途径,从而可以研究细胞生物学的多个方面。该工作流程展示了整合细胞内和细胞外蛋白质组学分析的优势,以及为多组学研究人员提供了潜力。这种方法对于未来研究疾病发展和进展的系统生物学方面具有重要价值。

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