GEO series
Paired analysis of host and pathogen genomes identifies determinants of human tuberculosis
GSE262379
Homo sapiens
Expression profiling by high throughput sequencing
44 samples
2024/03/30
GPL24676
Summary
The outcome of an infectious disease exposure is the result of interactions between host and pathogen and can depend on genetic variations in both. We explored this relationship in tuberculosis (TB) by conducting a genome-to-genome (g2g) study of paired human and Mycobacterium tuberculosis (Mtb) genomes from a cohort of 1556 TB patients in Lima, Peru. We identified an association between a human intronic variant (rs3130660, OR = 10.06, 95% CI: 4.87 - 20.77, P = 7.92 ⨉ 10-8 ) in the FLOT1 gene and a subclade of Mtb Lineage 2 (g2g-L2). We assessed this interaction in a Mtb-macrophage infection model between bacterial and host genetic backgrounds. We found that expression of FLOT1 and other genes in the MHC class-I region are differentially modulated by g2g-L2 compared to nearest neighbor strains. We also found distinct inflammatory responses with different host genetic backgrounds, with hosts carrying the A allele of rs3130660 inducing stronger type I and II interferon (IFN) gene signatures than hosts carrying only the T allele. TB infection with g2g-L2 strains shift macrophage responses away from this IFN signaling. In vitro analyses show that the g2g-L2 strains are distinguished by altered redox states and resistance to reductive stress and that these phenotypes result from a single mutation in thioredoxin reductase (trxB2, T2N). We also investigated this association in a 2020 cohort of 699 patients with TB recruited during the COVID-19 pandemic. Between 2010 and 2020, the prevalence of the g2g-L2 strain almost doubled, nearly fully replacing the other co-circulating L2 strains. However, g2g-L2 infection was not associated with rs3130660 in this cohort. These data raise the possibility of a more dynamic landscape of interacting host, pathogen and environmental risk factors than previously expected for TB.
Download
NCBI GEO page ↗
Paper (PMID 39613754) ↗
{# Names what the click gives you. "Open in finder" meant nothing to a
visitor who arrived from a search engine and has never seen the tool. #}
Find more
human RNA-seq datasets →
Similar datasets
- GSE328275 Single-cell RNA sequencing of CD45+ immune cells across primary tumor, sentinel tumor-draining lymph node, and axillary lymph node in treatment-naive triple-negative breast cancer 28 samples
- GSE341753 Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis [RNA-Seq] 12 samples
- GSE319969 Spatial and Bulk Transcriptomic Profiling Defines the Molecular Evolution of Cutaneous Squamous Cell Carcinoma and Reveals Stage-Specific Biomarkers of Clinical Relevance [RNA-Seq] 24 samples
- GSE342462 Integrated transcriptomic and bioelectrical profiling of stem-like cellular states in a colorectal cancer using SdFFF and UHF-DEP 12 samples
- GSE313035 METIMMOX: Colorectal Cancer METastasis - Shaping Anti-tumor IMMunity by OXaliplatin 67 samples
- GSE339456 Integrated bulk and spatial transcriptomic analysis identifies progression-associated molecular signatures in biopsy-proven hypertensive nephropathy [RNA-seq] 35 samples
- GSE341139 A conserved HAND2-BMP5-SMAD1/5/9 axis drives hepatic stellate cell activation and extracellular matrix overproduction in multiple fibrotic etiologies 10 samples
- GSE274275 Effect of depletion of NSUN4 on gene expression of NCI-H226 cells [RNA-seq] 6 samples
Share this dataset
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.