Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Analysis of the human endothelial cell response to pathogenic Leptospira interrogans vs. non-pathogenic Leptospira biflexa (Eahy1 data)

ABSTRACT: The overall goal of these experiments was to determine how human endothelial cells respond to pathogenic Leptospira interrogans. Leptospira interrogans causes leptospirosis, the most widespread zoonotic infection in the world. A hallmark of leptospirosis is widespread endothelial damage, which in severe cases leads to hemorrhage. In these experiments, we infected two endothelial cell lines with pathogenic Leptospira interrogans serovar Canicola strain Ca12-005, and as controls, with the non-pathogenic Leptospira biflexa serovar Patoc strain Pfra. As additional controls, uninfected cells were also included in the analyses. The cell line used was Ea.hy926, a macrovascular line (Edgell, C. J.,et al. 1990. In vitro Cell. & Dev. Biol. 26:1167-1172, and Edgell, C. J., et al. 1983. Proc. Natl. Acad. Sci. 80:3734-3737). Infection times were performed at a multiplicity of infection (# bacteria/endothelial cell) of 10 for either 1 hour or 3 hours, after which RNA was harvested and reverse transcribed. Labeled cDNAs were used to probe HEEBO arrays purchased from Microarrays Inc. (Nashville, TN). In each of three biological replicate experiments, for each time point, three comparisons were made. First, the L. interrogans-infected cells were compared to the L. biflexa-infected cells. Second, the L. Interrogans-infected cells were compared to the uninfected cells. Third, the L. biflexa-infected cells were compared to the uninfected cells. A second endothelial cell line, HMEC (Ades et al, 1992. HMEC-1: establishment of an immortalized human microvascular endothelial cell line. J Invest Dermatol. 99:683-690), which is of microvascular origin, was also used; raw data files are provided separately.

ORGANISM(S): Homo sapiens

SUBMITTER: Jenifer Coburn

PROVIDER: E-GEOD-23172 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:Leptospirosis, an emerging zoonotic disease with worldwide distribution, is caused by spirochetes belonging to the genus Leptospira. More than 500,000 cases of severe leptospirosis are reported annually, with .10% of these being fatal. Leptospires can survive for weeks in suitably moist conditions before encountering a new host. Reservoir hosts, typically rodents, exhibit little to no signs of disease but shed large numbers of organisms in their urine. Transmission occurs when mucosal surfaces or abraded skin come into contact with infected urine or urine-contaminated water or soil. In humans, leptospires can cause a variety of clinical manifestations, ranging from asymptomatic or mild fever to severe icteric (Weil’s) disease and pulmonary haemorrhage. Currently, little is known about how Leptospira persist within a reservoir host. Prior in vitro studies have suggested that leptospires alter their transcriptomic and proteomic profiles in response to environmental signals encountered during mammalian infection. However, no study has examined gene expression by leptospires within a mammalian host-adapted state. To obtain a more faithful representation of how leptospires respond to host-derived signals, we used RNA-Seq to compare the transcriptome of L. interrogans cultivated within dialysis membrane chambers (DMCs) implanted into the peritoneal cavities of rats with that of organisms grown in vitro. In addition to determining the relative expression levels of ‘‘core’’ housekeeping genes under both growth conditions, we identified 166 genes that are differentially-expressed by L. interrogans in vivo. Our analyses highlight physiological aspects of host adaptation by leptospires relating to heme uptake and utilization. We also identified 11 novel non-coding transcripts that are candidate small regulatory RNAs. The DMC model provides a facile system for studying the transcriptional and antigenic changes associated with mammalian host-adaption, selection of targets for mutagenesis, and the identification of previously unrecognized virulence determinants. Transcriptome analysis of L. interrogans Copenhageni FIOCRUZ L1-130 using RNA from 2 different conditions using RNA-seq. Also, the reproducibility and robustness of data is ensured by three biological replicates from each condition.

Dataset Information

Analysis of the human endothelial cell response to pathogenic Leptospira interrogans vs. non-pathogenic Leptospira biflexa (Eahy1 data)

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure