GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE341nnn/GSE341473/primary200OKTranscriptomicsHomo sapiensExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE341473GEOGSEfalseRNA-seq datasets of Blood transcriptomics reveals the value of Hub genes in patients with NTM - PDTo 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.2026/08/04GSE341473GSM9907336GSM9907337GSM9907334GSM9907345GSM9907346GSM9907335GSM9907343GSM9907332GSM9907344GSM9907333GSM9907341GSM9907330GSM9907331GSM9907342GSM9907340GSM9907329GSM9907338GSM9907327GSM9907339GSM990732824676341473Homo sapiens