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相关概念视频

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The Tumor Microenvironment

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Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
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Updated: Jul 15, 2025

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从实体瘤的空间转录组分析中获得的新见解.

Jun Du1, Zhi-Jie An2, Zou-Fang Huang3

  • 1Department of Hematology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujiang Road, Shanghai, 200127, China.

International journal of biological sciences
|October 2, 2023
PubMed
概括

空间转录学透露了瘤异质性和微环境细节,通过绘制完整组织中的基因表达. 这项技术克服了单细胞RNA测序的局限性,为实体瘤提供了新的见解.

关键词:
固体瘤是一个固体瘤.空间转录学 空间转录学瘤异质性的异质性瘤微环境是一个微环境.

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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 在瘤学瘤学.

背景情况:

  • 2016年出现的空间转录组学提供了来自完整组织的空间解析基因表达数据.
  • 它通过保留空间背景来解决单细胞RNA测序 (scRNA-seq) 的局限性.
  • 这种技术对于研究复杂的生物系统,特别是瘤异质性越来越重要.

研究的目的:

  • 审查空间转录学应用在实体瘤中瘤异质性和微环境的研究进展.
  • 总结癌症研究中的空间转录组学的突破和多样化的应用.
  • 突出综合多态学方法的潜力,以获得更深入的生物学见解.

主要方法:

  • 关于空间转录学技术及其在癌症研究中的应用的当前文献的综述.
  • 对专注于固体瘤的研究进行分析,以了解异质性和微环境.
  • 探索空间转录组学如何与其他技术和多组学数据集成.

主要成果:

  • 空间转录学使细胞聚类,细胞与细胞相互作用以及理解瘤内的细胞代谢的进步成为可能.
  • 它提供了对基因表达模式,免疫细胞程序和瘤微环境组成的关键见解.
  • 与其他技术和多态学方法的整合提高了分析的分辨率和范围.

结论:

  • 空间转录学是剖析瘤异质性和微环境的强大工具,与传统方法相比,它提供了显著的优势.
  • 结合各种转录组数据的单细胞多组学,证明了对深入单细胞分析的卓越有效性.
  • 数据整合的未来进展有望对亚细胞格局和疾病机制有更全面,多层次的理解.