Transcriptome datasets of macrophages infected with different strains of Leptospira spp

Area of Science:

• Immunology
• Microbiology
• Genomics

Background:

• Macrophages are crucial immune cells involved in host defense against bacterial pathogens.
• Leptospira spp. are pathogenic bacteria that can cause leptospirosis, a zoonotic disease with significant public health implications.
• Understanding the host-pathogen interaction at the transcriptomic level is essential for developing effective treatment strategies.

Purpose of the Study:

• To investigate the global gene expression changes in the J774A.1 macrophage cell line upon infection with three different strains of Leptospira spp.
• To identify key molecular pathways and genes modulated during the host response to Leptospira infection.

Main Methods:

• Macrophage cell line J774A.1 was infected with three distinct strains of Leptospira spp.
• Transcriptomic profiling was performed using Affymetrix® Mouse Gene 2.1 ST Array Strip.
• Data normalization and statistical analysis were conducted with a p-value < 0.01, FDR < 0.05, and log2 fold change (± 2).

Main Results:

• Differential gene expression analysis revealed significant alterations in macrophage transcriptomes following Leptospira infection.
• Identification of specific upregulated and downregulated genes involved in immune response, inflammation, and cellular processes.
• The study provides a comprehensive dataset of macrophage gene expression profiles in response to different Leptospira strains.

Conclusions:

• Leptospira infection induces a complex transcriptomic response in macrophages, involving a wide range of immune and cellular pathways.
• The identified gene expression patterns offer insights into the host's defense mechanisms and potential virulence factors of Leptospira.
• The generated dataset serves as a valuable resource for further research into Leptospira pathogenesis and host-pathogen interactions.