Mouse gut metagenome
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR128212_1.fastq.gz | Fastqsanger.gz | |||
| DRR128212_2.fastq.gz | Fastqsanger.gz | |||
| DRR128213_1.fastq.gz | Fastqsanger.gz | |||
| DRR128213_2.fastq.gz | Fastqsanger.gz | |||
| DRR128214_1.fastq.gz | Fastqsanger.gz |
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Project description:The gut microbiome diversity of Clostridioides difficile-inoculated mice treated with vancomycin and fidaxomicin
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Project description:Fidaxomicin is considered the current gold standard antibiotic for treating Clostridioides difficile infections and kills bacterial cells by inhibition of the RNA polymerase through binding to its switch region. Although binding sites do not overlap, also Myxopyronin B inhibits the RNA polymerase by binding its switch region. The here presented data prove that there is no cross-resistance between Fidaxomicin and Myxopyronin B in a Fidaxomicin-resistant C. difficile strain. Moreover, comparative LC-MS/MS analyses of Fidaxomicin, Myxopyronin B and Rifaximin stress in C. difficile strain 630 revealed that Myxopyronin B is able to suppress early phase toxin synthesis in C. difficile to the same degree as Fidaxomicin. Conclusively, Myxopyronin B is proposed as lead structure for the design of novel antibiotics for the therapy of C. difficile infections.
2021-12-21 | PXD027366 | Pride
Project description:Leber2015 - Mucosal immunity and gut
microbiome interaction during C. difficile infection
This model is described in the article:
Systems Modeling of
Interactions between Mucosal Immunity and the Gut Microbiome
during Clostridium difficile Infection.
Leber A, Viladomiu M, Hontecillas R,
Abedi V, Philipson C, Hoops S, Howard B, Bassaganya-Riera
J.
PLoS ONE 2015; 10(7): e0134849
Abstract:
Clostridium difficile infections are associated with the use
of broad-spectrum antibiotics and result in an exuberant
inflammatory response, leading to nosocomial diarrhea, colitis
and even death. To better understand the dynamics of mucosal
immunity during C. difficile infection from initiation through
expansion to resolution, we built a computational model of the
mucosal immune response to the bacterium. The model was
calibrated using data from a mouse model of C. difficile
infection. The model demonstrates a crucial role of T helper 17
(Th17) effector responses in the colonic lamina propria and
luminal commensal bacteria populations in the clearance of C.
difficile and colonic pathology, whereas regulatory T (Treg)
cells responses are associated with the recovery phase. In
addition, the production of anti-microbial peptides by inflamed
epithelial cells and activated neutrophils in response to C.
difficile infection inhibit the re-growth of beneficial
commensal bacterial species. Computational simulations suggest
that the removal of neutrophil and epithelial cell derived
anti-microbial inhibitions, separately and together, on
commensal bacterial regrowth promote recovery and minimize
colonic inflammatory pathology. Simulation results predict a
decrease in colonic inflammatory markers, such as neutrophilic
influx and Th17 cells in the colonic lamina propria, and length
of infection with accelerated commensal bacteria re-growth
through altered anti-microbial inhibition. Computational
modeling provides novel insights on the therapeutic value of
repopulating the colonic microbiome and inducing regulatory
mucosal immune responses during C. difficile infection. Thus,
modeling mucosal immunity-gut microbiota interactions has the
potential to guide the development of targeted fecal
transplantation therapies in the context of precision medicine
interventions.
This model is hosted on
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BIOMD0000000583.
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2024-09-02 | BIOMD0000000583 | BioModels
Project description:Analysis of Clostridium difficile (Cd) from the cecal contents of germ-free mice or Bacteroides thetaiotaomicron (Bt)-monocolonized mice on a standard, polysaccharide rich diet or polysaccharide deficient diet 5 days after infection. Results identify genes that are involved in the Cd response to diet, in vivo colonization and in interactions with Bt. In vitro transcriptional profiles of Clostridium difficile obtained from cecal contents of germ-free or Bt-monocolonized mice on a standard, polysaccharide rich or polysaccharide deficient diet. 4 samples/group. 2 control genomic DNA samples for Clostridium difficile and 2 reference genomic DNA samples for Bacteroides thetaiotaomicron Please note that 4 control samples (genomic DNA) were used to determine whether the genomic DNA correctly bound to the probes and thus, were not included in data processing (i.e no processed/normalized data).
2015-08-13 | E-GEOD-60751 | biostudies-arrayexpress
Project description:Toxin A and B from Clostridium difficile are the primary virulence factors in Clostridium difficile disease. The changes in gene transcription of human colon epithelial cells were investigated in vitro in order to better understand the many effects of both toxins.
2012-01-06 | GSE29008 | GEO
Project description:Clostridium difficile is an anaerobic spore-forming rod-shaped gram-positive bacterium that can infect both humans and animals. Most studies on the pathogenesis of C. difficile have focused on its toxins and their effect on the host cells. Recently, we utilized microarrays to identify conserved and divergent genes associated with virulence in C. difficile isolates from humans and animals. Our data provided the first clue toward a complex mechanism underlying host adaptation and pathogenesis. Microarray technology offers an efficient high-throughput tool to study the transcriptional profiles of pathogens and infected host cells. Transcriptomes of C. difficile after exposure to environmental and antibiotic stresses and those of human epithelial colorectal Caco-2 cells upon TcdA treatment have been analyzed. To our knowledge, there are still no reports on the transcriptomic study of host-pathogen interactions for C. difficile infection (CDI). In vitro analyses of interplay between host and pathogen are essential to unravel the mechanisms of infection and to investigate the host response to infection. We therefore employed microarrays to study both bacterial and human cellular transcriptome kinetics during CDI to Caco-2 cells. Here we present a large-scale analysis of transcriptional profiles to reveal molecular determinants playing a role in C. difficile pathogenesis and the host response. We found that there were 254 and 224 differentially-expressed genes after CDI in C. difficile and Caco-2 cells, respectively. These genes are clustered according to their functional categories and their potential roles in pathogenesis and host response are discussed. Our results will not only increase our understanding on the host-pathogen interaction, but may also provide targets for drug development. Clostridium difficile: Control vs Infection (time course) mRNA with genomic DNA of tested and reference strains Caco-2 cells: Control vs Infected with Clostridium difficile Time-course experiments of Caco-2 cells infected with C. difficile for 30, 60 and 120 min
2010-08-07 | E-GEOD-18407 | biostudies-arrayexpress
Project description:We present a novel methodology to construct a Boolean dynamic model from time series metagenomic information and integrate this modeling with genome-scale metabolic network reconstructions to identify metabolic underpinnings for microbial interactions. We apply this in the context of a critical health issue: clindamycin antibiotic treatment and opportunistic Clostridium difficile infection. Our model recapitulates known dynamics of clindamycin antibiotic treatment and C. difficile infection and predicts therapeutic probiotic interventions to suppress C. difficile infection. Genome-scale metabolic network reconstructions reveal metabolic differences between community members and are used to explore the role of metabolism in the observed microbial interactions. In vitro experimental data validate a key result of our computational model, that B. intestinihominis can in fact slow C. difficile growth.
| 5731 | Cell Collective
Project description:Analysis of Clostridium difficile (Cd) from the cecal contents of germ-free mice or Bacteroides thetaiotaomicron (Bt)-monocolonized mice on a standard, polysaccharide rich diet or polysaccharide deficient diet 5 days after infection. Results identify genes that are involved in the Cd response to diet, in vivo colonization and in interactions with Bt.
2015-08-13 | GSE60751 | GEO
Project description:Transcriptional analysis of Clostridium difficile R20291 in biofilm formation, planktonic state and grown on blood agar RNA sequencing was performed on Clostridium difficile R20291 in three different conditions: Biofilm formation, plantonic state and grown on blood agar plates. Each condtion has 3 replicates.
2016-05-18 | E-GEOD-69001 | biostudies-arrayexpress
Project description:Global transcriptional control by the transcriptional regulator SinR in Clostridium difficile
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