Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptome analysis of murine macrophages infected with different strains of Leptospira spp

ABSTRACT: Transcriptome analysis of murine macrophages infected with different strains of Leptospira spp

PROVIDER: PRJNA414919 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Transcriptome analysis of murine macrophages infected with different strains of Leptospira spp

Project description:Leptospirosis is a neglected zoonotic disease of global importance. Despite its prevalence, pathogenesis is still poorly understood. Our aim was to discover transcripts responsable for pathogenicity of leptospirosis. We compared the transcriptome profiles of saprophyte, attenuated and virulent strain of Leptospira spp.

2018-02-13 | GSE105141 | GEO

MicroRNA profiles of murine macrophages infected with different strains of Leptospira spp

Project description:MicroRNA profiles of murine macrophages infected with different strains of Leptospira spp

| PRJNA414654 | ENA

microRNA profile datasets of murine macrophages infected with different strains of Leptospira spp.

Project description:MicroRNAs play an important role in the regulation of immune responses. The influence of epigenetic mechanisms, particularly RNA-mediated post-transcriptional regulation of host immune responses has been proven vital following infections by different pathogens, and bacteria can modulated host miRNAs. Global miRNA expression analysis from macrophages infected in vitro with different strains of Leptospira spp was performed using miRNA 4.1 microarray strips. Leptospirosis is a bacterial zoonosis of global importance, responsible for significant morbidity and mortality worldwide. Despite considerable advances, much is yet to be discovered about disease pathogenicity, particularly in regards to host-pathogen interactions. We present here a high-quality dataset examining the microtranscriptome of murine macrophages J774A.1 following 8h of infection with virulent, attenuated and saprophyte strains of Leptospira. Metadata files were submitted to the Gene Expression Omnibus (GEO) repository.

| S-EPMC6103260 | biostudies-literature

MicroRNA profiles of murine macrophages infected with different strains of Leptospira spp

Project description:Leptospirosis is a neglected zoonotic disease of global importance. Despite its prevalence, pathogenesis is still poorly understood. Recent discoveries have placed miRNAs in the regulation of the infection process of several bacterial diseases. Here, we suggest that post-transcriptional regulation, mediated by miRNAs, may play a role in host response to infection in leptospirosis in a species and virulence-specific manner.

2018-06-23 | GSE105104 | GEO

RNA sequencing to profile transcriptomes in murine bone-marrow-derived macrophages upon infection with Leptospira spp.

Project description:Leptospirosis is a re-emerging zoonosis, a globally important infectious disease, caused by an infection with the genus Leptospira. Leptospirosis is associated with acute kidney injury and progress to CKD due to sustained tubulointerstitial inflammation. Macrophages play a critical role in controlling the bacterial burden and tissue inflammation during the spirochete infections. To understand the molecular mechanisms of leptospia-induced macrophage activation and its role in the inflammatory process, we performed the transcriptome profiles of murine bone marrow-derived macrophages infected with pathogenic and non-pathogenuc Leptospira spp.at a multiplicity of infection of 100 for 2 and 24 hrs, respectively.

2022-05-11 | GSE166050 | GEO

High-throughput renal transcriptome profiling in mice infected with Leptospira spp.

Project description:Leptospirosis is a globally important infectious disease caused by an infection with pathogenic Leptospira spp. and associated with kidney injury due to sustained tubulointerstitial inflammation. We apply the high-throughput Illumina sequencing platforms to determine the murine renal transcriptome and investigate gene expression alterations and biological pathways associated with kidney damage induced by leptospiral infection. The goal of this study is to investigate a global analysis of renal gene expression associated with renal damage that was induced by leptospiral infection in experimental mice models.

2022-07-25 | GSE185382 | GEO

Transcriptome datasets of macrophages infected with different strains of <i>Leptospira</i> spp.

Project description:The datasets reported herein provide information about microarray experiment of macrophage cell line J774A.1 infected with three different strains of Leptospira spp. Transcriptomic profiles were generated using Affymetrix® Mouse Gene 2.1 ST Array Strip. Data was normalized and statically process, p-value < 0.01, FDR < 0.05 and log2 fold change (± 2). The microarray raw data are available in Gene Expression Omnibus (GEO) under accession number GSE105141.

| S-EPMC5758930 | biostudies-literature

Renal transcriptome profiles from mice infected with Leptospira spp.

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.

2021-02-23 | GSE111249 | GEO

Leptospira spp.

Project description:Leptospira spp. - Genome sequencing and assembly

| PRJNA1168981 | ENA

Leptospira spp.

Project description:Leptospira spp. Puerto Rico - Genome sequencing and assembly

| PRJNA1111116 | ENA