分析脑转移癌进展中细胞膜/分泌组相互作用的蛋白质组学技术。

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Iulia M Lazar
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引用次数: 0

摘要

作品简介:。癌细胞从原发肿瘤扩散并形成转移性病变的能力经常导致致命的结果。然而,最近人们认识到,这一过程是由癌症和邻近细胞之间复杂的相互作用驱动的,总的来说,是由一个支持性的肿瘤微环境促成的。高通量技术的出现有望为揭示促进转移进展的参与者和复杂的通信途径带来急需的清晰度。涵盖领域:在本报告中,讨论了质谱和蛋白质组学技术对破译癌症和肿瘤微环境细胞之间的串扰的影响。重点放在细胞膜和分泌组蛋白作为这种串扰的主要推手的作用上,以及转移性肿瘤在大脑中进化所带来的挑战。未来的前景在最近的生物,技术和数据分析突破的背景下进行评估。专家意见:高通量蛋白质组学技术的进步,加上新的疾病模型系统和人工智能数据处理能力的令人兴奋的潜力,有望在破译支持癌症行为和转移发展的基本生物学机制、揭示新的治疗靶点和指导创新的干预方法方面取得突破性进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proteomic technologies for profiling cell-membrane/secretome interactions in brain metastatic cancer progression.

Introduction: . The ability of cancer cells to disseminate from the primary tumor and form metastatic lesions frequently leads to fatal outcomes. Recently, however, it has been recognized that this process is driven by complex interactions between the cancer and the neighboring cells, and, overall, made possible by a supportive tumor microenvironment. The emergence of high-throughput technologies is expected to bring much needed clarity to unraveling the players and intricate communication pathways that promote metastatic progression.

Areas covered: In this report, the impact of mass spectrometry and proteomic technologies on deciphering the cross-talk between cancer and tumor microenvironment cells is discussed. Focus is placed on the role of cell-membrane and secretome proteins as the main enablers of this cross-talk, and on the challenges presented by metastatic tumors that evolve in the brain. Future prospects are assessed in the context of recent biology, technology, and data analysis breakthroughs.

Expert opinion: Advancements in high-throughput proteomic technologies, complemented by the exciting potential of new disease model systems and data processing abilities of artificial intelligence, are expected to bring groundbreaking progress in deciphering the fundamental biological mechanisms that support cancer behavior and metastatic development, revealing novel therapeutic targets, and guiding innovative intervention approaches.

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来源期刊
Expert Review of Proteomics
Expert Review of Proteomics 生物-生化研究方法
CiteScore
7.60
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.
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