Single cell transcriptomic profiling of eosinophils and airway immune cells in childhood asthma
To enhance granulocyte recovery in scRNA-seq, we employed nasal lavage samples from children with asthma, leveraging the 10x Genomics Flex platform combined with a customized data processing pipeline. Nasal lavage samples were processed without prior manipulation to avoid technical artifacts such as lysis or stimulation. Granulocyte recovery was optimized using fixation to preserve cell quality and advanced computational techniques to separate low RNA content cells from background noise. Overall design: We grouped children to high-eosinophil and low-eosinophil asthma and compraed their transcriptional differences, cell composition and distinct biological pathways.