Using meta-analysis and machine learning to investigate the transcriptional response of immune cells to Leishmania infection.

ABSTRACT:

Background

Leishmaniasis is a parasitic disease caused by the Leishmania protozoan affecting millions of people worldwide, especially in tropical and subtropical regions. The immune response involves the activation of various cells to eliminate the infection. Understanding the complex interplay between Leishmania and the host immune system is crucial for developing effective treatments against this disease.

Methods

This study collected extensive transcriptomic data from macrophages, dendritic, and NK cells exposed to Leishmania spp. Our objective was to determine the Leishmania-responsive genes in immune system cells by applying meta-analysis and feature selection algorithms, followed by co-expression analysis.

Results

As a result of meta-analysis, we discovered 703 d

SUBMITTER: Rezaei Z 

PROVIDER: S-EPMC10798641 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature