Bykov Yonina, Kim Sarah H, Zamarin Dmitriy
Ludwig Collaborative Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, United States.
Methods Enzymol. 2020;632:295-308. doi: 10.1016/bs.mie.2019.05.057. Epub 2019 Jun 18.
Intratumoral heterogeneity of cancer cells and tumor-infiltrating immune cells is increasingly being viewed as a key factor driving tumor progression and response to therapy. Over the past several years, technological advances have created powerful tools to analyze the tumor microenvironment on a single-cell level, including mass cytometry and single-cell RNA sequencing, which is particularly pertinent to tumor immunology and cancer immunotherapy. The integrity and reliability of the data generated from these single-cell technologies, however, are highly influenced by the process and quality of sample preparation, which, if carried out inappropriately, has a potential to produce misleading results. In this chapter, we describe a protocol for the generation of single cell suspensions from human tumor samples that has been optimized for single-cell RNA sequencing. This protocol can be easily adapted for other single cell applications such as mass and flow cytometry. Throughout the entire workflow, we aim to maximize viability and minimize factors contributing to cellular stress that could affect downstream analyses.
癌细胞和肿瘤浸润免疫细胞的肿瘤内异质性日益被视为驱动肿瘤进展和对治疗反应的关键因素。在过去几年中,技术进步创造了强大的工具来在单细胞水平分析肿瘤微环境,包括质谱流式细胞术和单细胞RNA测序,这对于肿瘤免疫学和癌症免疫治疗尤为相关。然而,这些单细胞技术产生的数据的完整性和可靠性受到样品制备过程和质量的高度影响,如果操作不当,有可能产生误导性结果。在本章中,我们描述了一种从人类肿瘤样本中生成单细胞悬液的方案,该方案已针对单细胞RNA测序进行了优化。该方案可轻松适用于其他单细胞应用,如质谱和流式细胞术。在整个工作流程中,我们旨在最大限度地提高细胞活力,并尽量减少可能影响下游分析的导致细胞应激的因素。