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Published on: March 16, 2018
Comparative RNA-Seq Analysis Reveals Macrophage Polarization and T Cell Exhaustion Signatures in Visceral
Rohit Raj1, Priya Kumari1, Abhik Sen1
1ICMR-Rajendra Memorial Research Institute of Medical Sciences, Agamkuan, Patna 800007, India.
International Journal of Molecular Sciences
|June 26, 2026
Summary
This study compared gene expression in Syrian golden hamsters and mice infected with Leishmania donovani. It identified common and distinct gene changes, highlighting T cell exhaustion and potential disease drivers in visceral leishmaniasis models.
Area of Science:
- Immunology
- Genomics
- Parasitology
Background:
- Syrian golden hamsters (Mesocricetus auratus) are a key model for visceral leishmaniasis (VL) pathology.
- Mice (Mus musculus, BALB/c) are used for pharmaceutical and immunological response evaluation.
- Understanding species-specific gene signatures is crucial for VL research.
Purpose of the Study:
- To precisely define the role of gene signatures in L. donovani-infected M. auratus and M. musculus.
- To compare transcriptomic profiles and identify common and distinct molecular responses.
- To elucidate immunological mechanisms driving VL pathogenesis in rodent models.
Main Methods:
- Transcriptomic analysis of spleen samples from infected and uninfected M. auratus and M. musculus.
- Differential gene expression analysis to identify significant molecular changes.
- Principal component analysis (PCA) for distinct sample clustering.
Main Results:
- Distinct clustering observed between uninfected and infected groups in both species.
- 2054 genes differentially expressed in M. auratus, 1108 in M. musculus; 153 common.
- Overexpression of LAG3 in both species indicates T cell exhaustion; IL-10 overexpression unique to M. musculus.
Conclusions:
- Both hamster and mouse models exhibit Th1-mediated immune signaling and T cell exhaustion.
- Species-specific immune responses and gene expression patterns influence VL pathogenesis.
- Genes like Tgm2, Clec7a, and Adora2b may play a significant role in disease outcome across both models.