ScRNA-seq datasets of Blood transcriptomics reveals the value of Hub genes in patients with NTM - PD

To identify and validate peripheral blood mRNA signatures as non-invasive diagnostic biomarkers for nontuberculous mycobacterial pulmonary disease (NTM-PD), we performed an integrated transcriptomic analysis combining scRNA-seq and bulk RNA sequencing (RNA-seq), followed by experimental validation.Peripheral blood samples were collected from a total of 8 participants, including 3 patients with Mycobacterium avium complex pulmonary disease (MAC-PD), 3 patients with Mycobacterium abscessus pulmonary disease (MAB-PD), and 2 healthy controls (HC). All samples were subjected to scRNA-seq to dissect the single-cell transcriptomic landscape of peripheral blood, and paired bulk RNA-seq was conducted simultaneously to achieve comprehensive transcriptomic profiling.Integrated analysis of scRNA-seq and bulk RNA-seq datasets revealed that eight core genes were significantly upregulated in NTM-PD patients compared with HCs. Notably, this gene signature exhibited superior specificity relative to other candidate gene combinations, highlighting its potential as a diagnostic biomarker for NTM-PD.