Dataset Information

The different impact of drug-resistant Leishmania on the transcription programs activated in neutrophils.

ABSTRACT: Drug resistance threatens the effective control of infections, including parasitic diseases such as leishmaniases. Neutrophils are essential players in antimicrobial control, but their role in drug-resistant infections is poorly understood. Here, we evaluated human neutrophil response to clinical parasite strains having distinct natural drug susceptibility. We found that Leishmania antimony drug resistance significantly altered the expression of neutrophil genes, some of them transcribed by specific neutrophil subsets. Infection with drug-resistant parasites increased the expression of detoxification pathways and reduced the production of cytokines. Among these, the chemokine CCL3 was predominantly impacted, which resulted in an impaired ability of neutrophils to attract myeloid cells. Moreover, decreased myeloid recruitment when CCL3 levels are reduced was confirmed by blocking CCL3 in a mouse model. Collectively, these findings reveal that the interplay between naturally drug-resistant parasites and neutrophils modulates the infected skin immune microenvironment, revealing a key role of neutrophils in drug resistance.

ORGANISM(S): Homo sapiens

PROVIDER: GSE244972 | GEO | 2024/04/23

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Purpose: In this study, we have used a translatomic approach by coupling polysome profiling and deep RNA-sequencing to estimate changes in the translatome of antimony-resistant Leishmania parasites Methods: Leishmania tropica promastigotes were stepwise selected for resistance to trivalent antimony. Two different strains were studied, the L. tropica SbIII-sensitive or wildtype strain (WT) and the derived highly resistant strain (HR). After polysome profiling four types of samples were evaluated by deep RNAseq: total mRNA used as input, monosomes (MS), light polysomes (LP), and heavy polysomes (HP). The DESeq2 algorithm was used for differential expression analysis to identify translational changes at the basal level (HR Vs. WT), translational changes to combat the drug (HR+SbIII Vs. HR), and to compare translatomic Vs. transcriptomic changes (HP Vs. Total input) [see overall design section below]. Results: Differential translational analysis (cutoff of fold change ≥ 1.5 and p-value corrected by Benjamini-Hochberg FDR ≤ 0.05) showed that transcripts composition per polysome fraction was different in the resistant strain. It included several upregulated (Up) and downregulated (Down) transcripts. At the basal level, 2431 different transcripts were differentially translated: monosome (Down: 4, Up: 0), light polysomes (Down: 906, Up: 951), and heavy polysomes (Down: 1096, Up: 1064). Under the antimony challenge, 189 different transcripts were differentially translated: monosome (Down: 0, Up: 2), light polysomes (Down: 9, Up: 57), and heavy polysomes (Down: 30, Up: 134). Overall, most of the changes were identified in polysome fraction when compared with monosomes or total transcriptome. Conclusions: Our study shows evidence that translational control has a main role in coordinating the resistance to antimony in Leishmania parasites. We propose a novel model that establishes translational control as a major driver of antimony-resistant phenotypes in Leishmania parasites.

Dataset Information

The different impact of drug-resistant Leishmania on the transcription programs activated in neutrophils.

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets