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

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.

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Publication Details

Journal
STAR Protocols
Published
2024-09-01
DOI
https://doi.org/10.1016/j.xpro.2024.103298
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.86
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Protocol for optimized nasal mucosa sample processing to obtain high-quality scRNA-seq and scATAC-seq data

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STAR Protocols
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article

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

Xiaojuan Huang, Shuyan Guan, Chuanyu Liu, Yaling Huang, Jinmei Xue, Z.X. Liu, Ying Liu, Jianhua Yin, Qiaoling Wang, Shikai Han, Yisha Wu, Guangpei Cong
article en
3 citations

Abstract

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.

STAR ProtocolsVol. 5(3)
BGI Group (China) (CN), Shanxi Medical University (CN), Second Hospital of Shanxi Medical University (CN), BGI Research (CN)
Openalex Percentile: Top 26%
Cancer-related molecular mechanisms research
0.86
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