Protocol for optimized nasal mucosa sample processing to obtain high-quality scRNA-seq and scATAC-seq data

Autor: Yaling Huang, Yisha Wu, Shikai Han, Qiaoling Wang, Guomingxiu Cong, Zhongzhen Liu, Shuyan Guan, Xiaojuan Huang, Ying Liu, Jianhua Yin, Jinmei Xue, Chuanyu Liu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: STAR Protocols, Vol 5, Iss 3, Pp 103298- (2024)
Druh dokumentu: article
ISSN: 2666-1667
DOI: 10.1016/j.xpro.2024.103298
Popis: Summary: Examining nasal mucosa samples is crucial for nasal cavity disease research and diagnosis. Simultaneously obtaining high-quality data for single-cell transcriptomics (single-cell RNA sequencing [scRNA-seq]) and epigenomics (single-cell assay for transposase-accessible chromatin using sequencing [scATAC-seq]) of nasal mucosa tissues is challenging. Here, we present a protocol for processing human nasal mucosa samples to obtain data for both scRNA-seq and scATAC-seq. We describe steps for extracting human nasal mucosa tissue, mechanical and enzymatic dissociation, lysis of red blood cells, and a viability assay. We then detail procedures for library preparation and quality control. : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Databáze: Directory of Open Access Journals