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

Jinyuan Song; Junlei Zhang; Yongtao Ji; Jianghui Tang; Jianpeng Sheng; Tingbo Liang; Xueli Bai

STAR Protocols (Dec 2023)

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

Jinyuan Song,
Junlei Zhang,
Yongtao Ji,
Jianghui Tang,
Jianpeng Sheng,
Tingbo Liang,
Xueli Bai

Affiliations

Jinyuan Song: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China
Junlei Zhang: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China
Yongtao Ji: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China
Jianghui Tang: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China
Jianpeng Sheng: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China; Corresponding author
Tingbo Liang: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China; Corresponding author
Xueli Bai: Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310002, China; Zhejiang University Cancer Center, Zhejiang University, Hangzhou 310002, China; Corresponding author

Journal volume & issue: Vol. 4, no. 4
p. 102679

Abstract

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Summary: 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 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.

Published in STAR Protocols

ISSN: 2666-1667 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Science: Science (General)
Website: https://star-protocols.cell.com/

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Abstract

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