Single-cell RNA-sequencing of bronchoscopy specimens: development of a rapid, minimal-handling protocol
Firoozeh V. GerayeliiD, Stephen B MilneiD, Chen Xi YangiD, Xuan LiiD, Elizabeth GuintoiD, Julia Shun-Wei Yang, Chung Yan CheungiD, Tara R. StachiD, Tawimas ShaipanichiD, Janice M. LeungiD, Don D. SiniD
Abstract
Single-cell RNA-sequencing (scRNA-seq) is an important tool for understanding disease pathophysiology, including airways diseases. Currently, the majority of scRNA-seq studies in airways diseases have used invasive methods (airway biopsy, surgical resection) which carry inherent risks and thus present a major limitation to scRNA-seq investigation of airway pathology. Bronchial brushing, where the airway mucosa is sampled using a cytological brush, is a viable, less invasive method of obtaining airway cells for scRNA-seq. Here we are describing the development of a rapid and minimal-handling protocol for preparing single cell suspensions from bronchial brush specimens for scRNA-seq. Our optimized protocol maximises cell recovery and cell quality, and may facilitate large-scale profiling of the airway transcriptome at single cell resolution. Lay abstractSingle-cell RNA-sequencing (scRNA-seq) measures the gene expression of individual cells, and may be useful for understanding disease processes. scRNA-seq may be used to investigate lung diseases, but using invasive methods such as biopsy or surgery limits our ability to conduct large research studies. Bronchial brushing, where a soft brush is used to collect cells from inside the lungs, is a safer method but we need a better way to isolate individual cells from the brush specimens. We developed a method that is faster and involves less handling of the specimens compared to other published methods. Our method may therefore be useful for conducting large scRNA-seq studies in lung diseases.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 9
- FWCI
- 0.80
- Field percentile
- top 33%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single nucleus RNASeq profiling of mouse lung: reduced dissociation bias and improved detection of rare cell types compared with single cell RNASeq
Jeffrey R. Koenitzer, Hao Wu, … Benjamin D. Humphreys·American Journal of Respiratory Cell and Molecular BiologyPeer-reviewed·Aug 17, 2020
- Optimized protocol for processing murine tumor-bearing lung tissue for flow cytometry and single cell RNA-sequencing
Sicong Wang, Anastasiia Ivanova, … Katja A Lamia·bioRxiv·Nov 25, 2025
- Flow cytometric analysis and purification of airway epithelial cell subsets
L. R. Bonser, K. D. Koh, … D. J. Erle·bioRxiv·Apr 20, 2020
- Dynamics of bleomycin-induced lung injury at single-nucleus resolution
Cecilia López‐Martínez, Yu‐Hua Chow, … Chi F. Hung·bioRxiv·Sep 14, 2026
- High sensitivity single cell RNA sequencing with split pool barcoding
Vuong Tran, Efthymia Papalexi, … Alexander B. Rosenberg·bioRxiv·Aug 27, 2022
- scPipe: a flexible R/Bioconductor preprocessing pipeline for single-cell RNA-sequencing data
Luyi Tian, Shian Su, … Matthew E. Ritchie·PLoS Computational BiologyPeer-reviewed·Aug 10, 2018