Dataset Information

Translational Reprogramming as a Driver of Antimony-drug Resistance in Leishmania

ABSTRACT: Translational Reprogramming as a Driver of Antimony-drug Resistance in Leishmania

PROVIDER: PRJNA727294 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	SRR14421400_1.fastq.gz	Fastqsanger.gz
	SRR14421400_2.fastq.gz	Fastqsanger.gz
	SRR14421401_1.fastq.gz	Fastqsanger.gz
	SRR14421401_2.fastq.gz	Fastqsanger.gz
	SRR14421402_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 72

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

Translational Reprogramming as a Driver of Antimony-drug Resistance in Leishmania

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets