Transcriptomics

Dataset Information

88

A Model System for Studying the Transcriptomic and Physiological Changes Associated with Mammalian Host-Adaptation by Leptospira interrogans Serovar Copenhageni


ABSTRACT: 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.

ORGANISM(S): Leptospira interrogans serovar Copenhageni str. Fiocruz L1-130  

SUBMITTER: Anna Allard  Jay D Hinton   Daniel Hurley   André A Grassmann   Melissa J. Caimano   Karsten Hokamp   Sathesh K Sivasankaran   Jarlath E Nally   Melissa J Caimano    

PROVIDER: E-GEOD-53818 | ArrayExpress| 2014-04-15

SECONDARY ACCESSION(S): GSE53818SRP034928PRJNA233425

REPOSITORIES: GEO, ArrayExpress, ENA

altmetric image

Publications

A model system for studying the transcriptomic and physiological changes associated with mammalian host-adaptation by Leptospira interrogans serovar Copenhageni.

Caimano Melissa J MJ   Sivasankaran Sathesh K SK   Allard Anna A   Hurley Daniel D   Hokamp Karsten K   Grassmann André A AA   Hinton Jay C D JC   Nally Jarlath E JE  

PLoS pathogens 20140313 3


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 o  ...[more]

Similar Datasets

| GSE53818 | GEO
2014-05-02 | E-GEOD-23173 | ArrayExpress
2010-07-27 | GSE23173 | GEO
2014-05-02 | E-GEOD-17942 | ArrayExpress
2014-05-01 | E-GEOD-20422 | ArrayExpress
2018-04-18 | PXD009050 | Pride
| GSE86630 | GEO
2014-06-02 | E-GEOD-45170 | ArrayExpress
| GSE79107 | GEO
2010-03-22 | GSE20422 | GEO