Integrated dataset for CRSwNP-CRSsNP-Control with detailed T cell subclusters

This is the integrated datasets from 4 published study:GSE156285, GSE196169, GSE270953, and data from Ordovas-Montanes et al., <i>Nature.</i><i> </i>2018.The CellRanger output including barcode, feature, and matrix files ( for GSE270953), or raw count matrix files ( for GSE196169 and GSE156285), were download from the Gene Expression Omnibus. Raw count matrix from Ordovas-Montanes et al. was extract from supplementary table 2 of the paper. Analysis of the scRNA-seq data set was performed using the Seurat package (v.5.1), and Bioconductor version 3.20 in R. Seurat object for each individual was created from either CellRanger output or matrix file. Quality control steps were conducted in an individal basis. Cells with high percentage of mitochondrial genes and either very low (&lt;200) or high numbers (&gt;5000) of unique genes were filtered out. Then, we applied DoubletFinder (version 1.16.0) to remove doublets. After quality control, individual seurat object was went through the log-normalization, highly variable features identification, and scaling. To address batch effects across the four datasets (with differing platforms and sizes), we applied Seurat’s reciprocal PCA (RPCA) integration workflow.