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人类瘤图谱网络:以单细胞分辨率绘制跨空间和时间的瘤转变图

Orit Rozenblatt-Rosen¹, Aviv Regev², Philipp Oberdoerffer³

¹Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.

|April 18, 2020

概括

人类瘤图谱网络 (HTAN) 使用先进的基因组学来绘制瘤发育中的复杂细胞相互作用. 这项倡议旨在发现精确癌症药物的新生物标志物和治疗点.

科学领域:

癌症学
基因组学
系统生物学

背景情况:

癌症的进展涉及瘤微环境中的复杂细胞相互作用.
单细胞基因组学和空间映射技术为研究这些相互作用提供了新的途径.
以前的癌症研究通常依赖于大量测序, 缺少单细胞分辨率.

研究的目的:

在不同瘤类型中创建3D癌症图谱的框架.
将多参数的纵向单细胞数据与临床结果结合起来.
识别新的生物标志物,细胞状态和驱动癌症转变的相互作用.

主要方法:

使用单细胞基因组学和现场杂交的空间复合.
通过人类瘤图谱网 (HTAN) 开发临床,实验和计算框架.
生成癌症转变的纵向多参数单细胞图谱.

主要成果:

该倡议将产生全面的3D瘤地图.
将地图集与临床数据相结合将揭示癌症进展的洞察力.
预测生物标志物和治疗相关的细胞特征的识别.

结论:

开发的瘤图谱将大大提高我们对癌症生物学的理解.
这种方法有可能改善癌症检测,预防和治疗策略.
这些发现有望为癌症患者提供精准医疗.

关键词:

没有.癌症月球射击人类瘤图谱癌症的转变数据整合数据可视化发生转移在癌症前期电阻单细胞基因组学空间基因组学空间成像一个瘤

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