利用空间分析技术描绘肿瘤微环境。
Charting the tumor microenvironment with spatial profiling technologies.
发表日期：2023 Sep 04
作者：
Mattia Toninelli, Grazisa Rossetti, Massimiliano Pagani
来源：
Trends in Cancer
摘要：
近年来，可以实现细胞分辨率读数的技术，如单细胞RNA测序（scRNA-seq），已对肿瘤微环境（TME）中的细胞比例和表型进行了全面的表征。然而，由于这些协议所需的样本解离步骤，它们无法捕捉与细胞操作的错综复杂的空间背景以及它们密集的相互作用网络相关的信息。空间分析技术最近出现成为研究在完整组织中群聚的细胞在TME中的物理组织的有价值的方法。在本综述中，我们首先讨论了空间分析技术如何推动TME的表征，然后探讨了它们在临床上提高癌症患者的诊断和预后的潜力。版权所有 © 2023 Elsevier Inc. 保留所有权利。
In recent years technologies that can achieve readouts at cellular resolution such as single-cell RNA sequencing (scRNA-seq) have provided a comprehensive characterization of the cellular proportions and phenotypes that populate the tumor microenvironment (TME). However, because of the sample dissociation steps required by these protocols, they fail to capture information related to the intricate spatial context in which cells operate as well as their dense networks of interactions. Spatial profiling technologies have recently emerged as a valuable way to investigate the physical organization of cells crowding the TME in intact tissues. In this review we first discuss how spatial profiling technologies have propelled TME characterization, and then explore their potential to improve both diagnosis and prognosis for cancer patients in the clinic.Copyright © 2023 Elsevier Inc. All rights reserved.