Protocol to dissociate, process, and analyze the human lung tissue using single-cell RNA-seq. Academic Article uri icon

Overview

abstract

  • We report a protocol for obtaining high-quality single-cell transcriptomics data from human lung biospecimens acquired from core needle biopsies, fine-needle aspirates, surgical resection, and pleural effusions. The protocol relies upon the brief mechanical and enzymatic disruption of tissue, enrichment of live cells by fluorescence-activated cell sorting (FACS), and droplet-based single-cell RNA sequencing (scRNA-seq). The protocol also details a procedure for analyzing the scRNA-seq data. For complete details on the use and execution of this protocol, please refer to Chan et al. (2021).

publication date

  • October 21, 2022

Research

keywords

  • Gene Expression Profiling
  • Lung

Identity

PubMed Central ID

  • PMC9597186

Scopus Document Identifier

  • 85140296333

Digital Object Identifier (DOI)

  • 10.1016/j.xpro.2022.101776

PubMed ID

  • 36313536

Additional Document Info

volume

  • 3

issue

  • 4