TB scRNA-seq Immunogenetic Analysis
Leading the first-ever single-cell RNA sequencing analysis of a TB case-control cohort using 10X Genomics. Profiling gene expression and cell surface protein markers in PBMCs to identify novel genetic variants and immune mechanisms driving TB progression.
Project Overview
This groundbreaking research represents the first comprehensive single-cell RNA sequencing analysis of tuberculosis patients and controls. Using cutting-edge 10X Genomics technology, we're profiling gene expression patterns in peripheral blood mononuclear cells (PBMCs) to uncover the molecular mechanisms underlying TB susceptibility.
Our multi-omic approach combines scRNA-seq data with genetic variant information, clinical phenotypes, and immune cell surface protein markers to build a comprehensive picture of TB immunogenetics in genetically diverse populations.
Technologies & Methods
Core Technologies
Analysis Pipeline
- • Cell quality control and filtering
- • Dimensionality reduction (UMAP/t-SNE)
- • Cell type identification and annotation
- • Differential gene expression analysis
- • Pathway enrichment and functional analysis
- • Integration with genomic data
Research Visualizations
UMAP of PBMCs from TB case–control CITE-seq
RNA marker gene expression across annotated immune populations
Protein expression validation on PBMC subsets
Research Impact & Future Directions
This research has the potential to revolutionize our understanding of tuberculosis immunogenetics. By identifying cell-type-specific gene expression patterns and genetic variants associated with TB susceptibility, we aim to develop more effective diagnostic tools and personalized treatment strategies.
The findings from this study will contribute to the broader field of precision medicine, particularly for infectious diseases affecting underrepresented populations. Our multi-omic approach provides a template for future research in complex disease genetics and immune system function.