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PROVIDER: PRJNA1101177 | ENA |
REPOSITORIES: ENA
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Project description:This is a model of the genome scale reconstruction of the Vibrio vulnificus metabolic network, VvuMBEL943, described in the article:
Integrative genome-scale metabolic analysis of Vibrio vulnificus for drug targeting and discovery
Hyun Uk Kim, Soo Young Kim, Haeyoung Jeong, Tae Yong Kim, Jae Jong Kim, Hyon E Choy, Kyu Yang Yi, Joon Haeng Rhee, and Sang Yup Lee. Molecular Systems Biology
7:460 Jan 2011 doi: 10.1038/msb.2010.115
Abstract:
Although the genomes of many microbial pathogens have been studied to help identify effective drug targets and novel drugs, such efforts have not yet reached full fruition. In this study, we report a systems biological approach that efficiently utilizes genomic information for drug targeting and discovery, and apply this approach to the opportunistic pathogen Vibrio vulnificus CMCP6. First, we partially re-sequenced and fully re-annotated the V. vulnificus CMCP6 genome, and accordingly reconstructed its genome-scale metabolic network, VvuMBEL943. The validated network model was employed to systematically predict drug targets using the concept of metabolite essentiality, along with additional filtering criteria. Target genes encoding enzymes that interact with the five essential metabolites finally selected were experimentally validated. These five essential metabolites are critical to the survival of the cell, and hence were used to guide the cost-effective selection of chemical analogs, which were then screened for antimicrobial activity in a whole-cell assay. This approach is expected to help fill the existing gap between genomics and drug discovery.
This metabolic network model has been thoroughly validated by the authors. VvuMBEL943 is a stoichiometric model that contains the metabolic information of the microbial pathogen, Vibrio vulnificus CMCP6, at genome-scale. The SBML version was generated by Hyun Uk Kim using MetaFluxNet.
This model originates from BioModels Database: A Database of Annotated Published Models (http://www.ebi.ac.uk/biomodels/). It is copyright (c) 2005-2011 The BioModels.net Team.
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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2024-09-02 | BIOMD0000001064 | BioModels
Project description:Vibrio vulnificus is an foodborne pathogen that can cause gastroenteritis and septicemia in humans. V. vulnificus secretes a multifunctional autoprocessing repeats-in-toxin (MARTX) toxin as an essential virulence factor to cause disease. MARTX toxins are pore-forming toxins that translocate multiple functionally independent effector domains into a target cell. MARTX toxins of V. vulnificus can contain anywhere from 3 to 5 of the 10 identified effector domains and strains with different effector repertories having varying virulence potential. The goal of this study was to compare how different effector combinations from an F-type MARTX toxin differentially remodel the transcriptional response of human intestinal epithelial cells (IECs). F-type MARTX toxins contain five effector domains – the actin crosslinking domain (ACD), two copies the makes caterpillar floppy-like domain (MCF), and alpha-beta hydrolase (ABH) domain, and the Ras/Rap1 specific endopeptidase (RRSP). Cultured human IECs were treated with V. vulnificus or strains modified to secrete a toxin with only ACD, ACD with MCF-ABH, ACD with RRSP, or no active effectors. We demonstrate that when no active effectors are present, the bacterium induces minimal changes in the transcriptional profile of IECs. However, the strains containing different effector combinations each uniquely remodeled the transcriptional profile of IECs. These data provide insight into how V. vulnificus strains with varying effector combinations can differentially regulate the host cell response to cause disease.
2021-11-21 | GSE189194 | GEO
Project description:Dual transcriptome analysis of the V. vulnificus-infected human cells; To understand toxin-stimulated host-pathogen interactions, we set up dual transcriptome sequencing experiments using the human epithelial (HT-29) or immune (differentiated THP-1; dTHP-1) cells infected with the sepsis-causing pathogen Vibrio vulnificus, either in wild-type or the MARTX toxin-deficient backgrounds.
2020-08-03 | GSE136540 | GEO
Project description:Small octopus is one of the major source for V. vulnificus outbreak among aquatic products in Northeast Asian due to improperly cooking and wound infection by mishandling. However, there is no report on whole genome sequence of V. vulnificus isolated from contaminated surf clam, thus no information is available for major virulence factors about V. vulnificus obtained from small octopus. Therefore, the analysis of transcriptome of isolated V. vulnificus from products are necessary to investigate potential risk of foodborne illness by contaminated products.
2017-07-11 | GSE101055 | GEO
Project description:RNA-seq analysis was performed by BGI-Tech of China, and RNA-seq library preparation and sequencing were performed by BGI (Shenzhen, China).
2017-06-13 | GSE89930 | GEO
Project description:Vibriosis caused by Vibrio vulnificus on eels represents an important threat for this specie under culture conditions. Development of new transcriptomic tools is essential to increase the knowledge of eel biology, that nowadays is scarcer. Therefore, using previous results obtained by 454 sequencing of the eel immune-enriched transcriptome, an eel-specific custom microarray have been designed. Gills transcriptomic pattern were analyzed as a principal portal of entry for pathogens in fish after 1h of bath infection with Vibrio vulnificus to describe gill immune response. Moreover, two different strains were used, vibro vulnificus wild type (R99) and rtx double mutant (CT285), to asses the virulence of these pathogen caused by MARTX.
2013-03-15 | GSE45163 | GEO
Project description:In order to analyze the transcripts of Arabidopsis thaliana (Col-0) and Vibrio vulnificus MO6-24/O simultaneously, Vibrio vulnificus MO6-24/O was infiltrated onto Arabidopsis leaves and then leaves were harvested at 0, 3, 6, 12, 24 and 48 h post-infiltration. A total of 31, 128, 303, 219 and 130 differentially expressed genes (DEGs) of Vibrio were up- and down-regulated at 3, 6, 12, 24 and 48 h post-infiltration (hpi). Meanwhile, differentially expressed genes (DEGs) were monitored at 3, 6, 12, 24 and 48 h post-infiltration. A total of 2,097, 1,839, 1,220, 1,170 and 1,383 genes were characterized at each time points in Arabidopsis. Our data clearly indicate that total transcripts of the marine bacterial pathogen V. vulnificus MO6-24/O are detected and analyzed in plant Arabidopsis and two organisms were inter-communicated at the same time under favorable conditions.
2020-10-06 | GSE159018 | GEO
Project description:Vibriosis caused by Vibrio vulnificus on eels represents an important threat for this specie under culture conditions. Development of new transcriptomic tools is essential to increase the knowledge of eel biology, that nowadays is scarcer. Therefore, using previous results obtained by 454 sequencing of the eel immune-enriched transcriptome, an eel-specific custom microarray have been designed. Gills transcriptomic pattern were analyzed as a principal portal of entry for pathogens in fish after 1h of bath infection with Vibrio vulnificus to describe gill immune response. Moreover, two different strains were used, vibro vulnificus wild type (R99) and rtx double mutant (CT285), to asses the virulence of these pathogen caused by MARTX. Adult european eels were bath infected with two Vibrio vulnificus strains, the wild type and double Rtx mutant (CT285). After 0, 3, 12h post-infection eel gills were sampled. Three individuals per experimental point were sampled, including a Control group and a Handling control group. Obtaining a total of 24 samples. The transcriptomic profile was described for each individual sample.
2013-03-15 | E-GEOD-45163 | biostudies-arrayexpress