耐药前列腺癌细胞的单细胞蛋白质组学特征揭示了与形态变化相关的分子特征。

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Jongmin Woo, Michael Loycano, Md Amanullah, Jiang Qian, Sarah R Amend, Kenneth J Pienta, Hui Zhang
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引用次数: 0

摘要

这项研究深入研究了前列腺癌中耐药细胞(DRCs)的蛋白质组学复杂性,这些细胞在治疗耐药、复发和转移中起着关键作用。利用单细胞蛋白质组学(SCP)和优化的高通量数据独立采集(DIA)方法(每天60个样本),我们与亲本PC3细胞相比,表征了DRCs的蛋白质组学景观。这种DIA方法允许在单细胞水平上进行稳健和可重复的蛋白质定量,平均每个细胞可以鉴定和定量超过1300种蛋白质。在DRC人群中发现了不同的蛋白质组亚簇,与细胞大小的变化密切相关。该研究发现了新的蛋白质特征,包括对细胞粘附和代谢过程至关重要的蛋白质的调节,以及对癌症进展至关重要的表面蛋白和转录因子的上调。此外,通过进行单细胞RNA-seq (scRNA-seq)分析,我们发现在SCP和scRNA-seq平台上,药物处理细胞中有6个上调基因和10个下调基因持续改变。这些发现强调了DRCs的异质性及其独特的分子特征,为其生物学行为和潜在的治疗靶点提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Single-Cell Proteomic Characterization of Drug-Resistant Prostate Cancer Cells Reveals Molecular Signatures Associated with Morphological Changes.

This study delves into the proteomic intricacies of drug-resistant cells (DRCs) within prostate cancer, which are known for their pivotal roles in therapeutic resistance, relapse, and metastasis. Utilizing single-cell proteomics (SCP) with an optimized high-throughput data-independent acquisition (DIA) approach with the throughput of 60 sample per day, we characterized the proteomic landscape of DRCs in comparison to parental PC3 cells. This DIA method allowed for robust and reproducible protein quantification at the single-cell level, enabling the identification and quantification of over 1300 proteins per cell on average. Distinct proteomic sub-clusters within the DRC population were identified, closely linked to variations in cell size. The study uncovered novel protein signatures, including the regulation of proteins critical for cell adhesion and metabolic processes, as well as the upregulation of surface proteins and transcription factors pivotal for cancer progression. Furthermore, by conducting single-cell RNA-seq (scRNA-seq) analysis, we identified six upregulated and 10 downregulated genes consistently altered in drug-treated cells across both SCP and scRNA-seq platforms. These findings underscore the heterogeneity of DRCs and their unique molecular signatures, providing valuable insights into their biological behavior and potential therapeutic targets.

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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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