Preparation of single cells from tumors for single-cell RNA sequencing Journal Article


Authors: Bykov, Y.; Kim, S. H.; Zamarin, D.
Article Title: Preparation of single cells from tumors for single-cell RNA sequencing
Abstract: 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. © 2020 Elsevier Inc.
Keywords: human cell; flow cytometry; cancer immunotherapy; extracellular matrix; immunology; cell suspension; dissociation; cell stress; rna sequence; tumor microenvironment; workflow; suspension; single cell; human; single-cell rnaseq
Journal Title: Methods in Enzymology
Volume: 632
ISSN: 0076-6879
Publisher: Academic Press  
Date Published: 2020-01-01
Start Page: 295
End Page: 308
Language: English
DOI: 10.1016/bs.mie.2019.05.057
PROVIDER: scopus
PUBMED: 32000902
DOI/URL:
Notes: Chapter 16 in "Tumor Immunology and Immunotherapy - Cellular Methods Part B" (ISBN: 978-0-12-818675-6) -- Source: Scopus
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  1. Dmitriy Zamarin
    201 Zamarin
  2. Yonina Bykov
    14 Bykov
  3. Sarah H Kim
    43 Kim