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Protocol for isolating single cells from human pancreatic cancer tissues and analyzing major immune cell populations using flow cytometry

Here, we present a protocol for collecting, dissociating, isolating, staining, and analyzing immune cells from pancreatic cancer tissues for flow cytometry. The isolated cells can also be used for single-cell RNA sequencing and other related procedures. For complete details on the use and execution...

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Published in:STAR protocols 2023-12, Vol.4 (4), p.102679-102679, Article 102679
Main Authors: Song, Jinyuan, Zhang, Junlei, Ji, Yongtao, Tang, Jianghui, Sheng, Jianpeng, Liang, Tingbo, Bai, Xueli
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creator Song, Jinyuan
Zhang, Junlei
Ji, Yongtao
Tang, Jianghui
Sheng, Jianpeng
Liang, Tingbo
Bai, Xueli
description Here, we present a protocol for collecting, dissociating, isolating, staining, and analyzing immune cells from pancreatic cancer tissues for flow cytometry. The isolated cells can also be used for single-cell RNA sequencing and other related procedures. For complete details on the use and execution of this protocol, please refer to Zhang et al. (2023).1 [Display omitted] •Isolation of high-viability single cells from human pancreatic cancer tissue•Enrich immune cells using Percoll•Purify immune cells to make them suitable for FACS and scRNA-seq•Identification of major immune cell populations in pancreatic cancer using FACS Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Here, we present a protocol for collecting, dissociating, isolating, staining, and analyzing immune cells from pancreatic cancer tissues for flow cytometry. The isolated cells can also be used for single-cell RNA sequencing and other related procedures.
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subjects Cancer
Cell Biology
Cell Isolation
Clinical Protocol
Flow Cytometry
Health Sciences
Humans
Pancreatic Neoplasms - genetics
Single Cell
Staining and Labeling
title Protocol for isolating single cells from human pancreatic cancer tissues and analyzing major immune cell populations using flow cytometry
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