Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Neisseria gonorrhoeae FA1090 transcriptional response to iron availability

ABSTRACT: 4 pan-Neisseria arrays examining the gonococcal response to iron availability. Dual channel (Cy3/Cy5) arrays, using random nonamers for cDNA generation. Arrays scanned with ScanArray ExpressHT microarray scanner. Data analyzed using ArrayVision 7.0 and compiled in GeneSpring.

ORGANISM(S): Neisseria gonorrhoeae

SUBMITTER: Alain Stintzi

PROVIDER: E-GEOD-2147 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Identification of the iron-responsive genes of Neisseria gonorrhoeae by microarray analysis in defined medium.

Ducey Thomas F TF Carson Matthew B MB Orvis Joshua J Stintzi Alain P AP Dyer David W DW

Journal of bacteriology 20050701 14

To ensure survival, most bacteria must acquire iron, a resource that is sequestered by mammalian hosts. Pathogenic bacteria have therefore evolved intricate systems to sense iron limitation and regulate gene expression appropriately. We used a pan-Neisseria microarray to examine genes regulated in Neisseria gonorrhoeae in response to iron availability in defined medium. Overall, 203 genes varied in expression, 109 up-regulated and 94 down-regulated by iron deprivation. In iron-replete medium, ge ...[more]

PMID: 15995201

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Project description:The emergence of fully antimicrobial resistant Neisseria gonorrhoeae has led global public health agencies to identify a critical need for next generation anti-gonococcal pharmaceuticals. The development and success of these compounds will rely upon valid pre-clinical models of gonorrhoeae infection. We recently developed and reported the first model of upper genital tract gonococcal infection. During initial characterization, we observed significant reproductive cycle-based variation in infection outcome. When uterine infection occurred in the diestrus phase, there was significantly greater pathology than during estrus phase. The aim of this study was to evaluate transcriptional profiles of infected uterine tissue from mice in either estrus or diestrus phase in order to elucidate possible mechanisms for these differences. Genes and biological pathways with phase-independent induction during infection showed a chemokine dominant cytokine response to Neisseria gonorrhoeae. Despite general induction being phase-independent, this common anti-gonococcal response demonstrated greater induction during diestrus phase infection. Greater activity of granulocyte adhesion and diapedesis regulators during diestrus infection, particularly in chemokines and diapedesis regulators, was also shown. In addition to a greater induction of the common anti-gonococcal response, Gene Set Enrichment Analysis (GSEA) identified a diestrus-specific induction of type-1 interferon signaling pathways. This transcriptional analysis of murine uterine gonococcal infection during distinct points in the natural reproductive cycle provided evidence for a common anti-gonococcal response characterized by significant induction of granulocyte chemokine expression and high proinflammatory mediators. The basic biology of this host response to N. gonorrhoeae in estrus and diestrus is similar at the pathway level, but varies drastically in magnitude. Overlaying this, we observed type-1 interferon induction specifically in diestrus infection where greater pathology is observed. This supports recent work suggesting this pathway has a significant, possibly host-detrimental, function in gonococcal infection. Together these findings lay the groundwork for further examination of the role of interferons in gonococcal infection. Additionally, this work enables the implementation of the diestrus uterine infection model using the newly characterized host response as a marker of pathology and its prevention as a correlate of candidate vaccine efficacy and ability to protect against the devastating consequences of N. gonorrhoeae-associated sequelae. Murine microarrays were used to examine transcriptional differences underlying significantly different phenotypes associated with uterine N. gonorrhoeae infection in the estrus versus diestrus phases of the natural reproductive cycle.

Dataset Information

Neisseria gonorrhoeae FA1090 transcriptional response to iron availability

Publications

Identification of the iron-responsive genes of Neisseria gonorrhoeae by microarray analysis in defined medium.

Similar Datasets

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