Leptospira spp.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1111116 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR31182823_1.fastq.gz | Fastqsanger.gz | |||
| SRR31182823_2.fastq.gz | Fastqsanger.gz | |||
| SRR31182824_1.fastq.gz | Fastqsanger.gz | |||
| SRR31182824_2.fastq.gz | Fastqsanger.gz | |||
| SRR31182825_1.fastq.gz | Fastqsanger.gz |
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Project description:Leptospira spp. - Genome sequencing and assembly
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Project description:Pathogenic Leptospira spp. are the causative agents of the zoonotic disease leptospirosis. During infection, Leptospira are confronted with deadly reactive oxygen species (ROS). Withstanding ROS produced by the host innate immunity is an important strategy evolved by pathogenic Leptospira for persisting in and colonizing hosts. The peroxide stress regulator, PerR, represses genes involved in ROS defenses in L. interrogans. We have performed RNA sequencing in WT and perR mutant strains to characterize the L. interrogans adaptive response to hydrogen peroxide. We showed that Leptospira solicit three main peroxidase machineries (catalase, cytochrome C peroxidase and peroxiredoxin) and heme to adapt to peroxide stress as well as canonical chaperones of the heat shock response, and DNA repair. Determining the PerR regulon allowed to identify the PerR-dependent mechanisms of the peroxide adaptive response and has revealed a regulatory network involving other transcriptional regulators, two-component systems and sigma factors as well as non-coding RNAs that putatively orchestrate, in concert with PerR, this adaptive response. Our findings provide comprehensive insight into the mechanisms required by pathogenic Leptospira to overcome infection-related oxidants. This will participate in framing future hypothesis-driven studies to identify and decipher novel virulence mechanisms.
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Project description:Our data demonstrate the suitability of target capture technology for purifying very low quantities of Leptospira DNA from biological samples where the human genome is in vast excess. This enables deep sequencing of partial Leptospira genomes directly from clinical samples using next generation technologies and genotyping.
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Project description:Leptospirosis caused by pathogenic Leptospira spp. leads to kidney damage that may progress to chronic kidney disease. However, how leptospiral infections lead to renal damage is unclear. Here, we apply microarray platforms to determine the murine renal transcriptome-wide investigation of gene expression changes and biological pathways associated with leptospiral infection-related kidney damage. The aims of this study are to investigate a global analysis of renal gene expression associated with renal damage that was induced by leptospiral infection using experimental murine models. The result of microarray analysis showed that 467 and 927 genes to be differentially expressed in mice kidney with pathogenic leptospiral infection after day 7 and 28, respectively. Moreover, the result also showed that the 508 significantly differentially expressed genes in the kidneys of mice after infection with non-pathogenic leptospires at 7 days post-infection, and the 1,067 transcripts significantly differentially expressed in these kidneys at 28 days post-infection. Biological pathways performed using KEGG pathway enrichment analysis (P-value < 1E-5) showed that a total of 6 and 7 pathways were significantly enriched at 7 and 28 days post-infection with pathogenic leptospires, respectively. A total of 25 pathways were significantly enriched at day 28 following the non-pathogenic leptospiral infection. However, none of pathways were found in microarray data at day 7 post-infection with non-pathogenic leptospires. In addition, the antigen processing and presentation pathways was significantly enriched at 7 and 28 days post-infection with pathogenic leptospires, and at day 28 following the non-pathogenic leptospiral infection.
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