Mus musculus
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: MODEL1210260004
PROVIDER: PRJNA170259 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:"Modeling the Role of Peroxisome Proliferator-Activated Receptor γ and MicroRNA-146 in Mucosal Immune Responses to Clostridium difficile"
Monica Viladomiu1,2, Raquel Hontecillas1,2, Mireia Pedragosa1,2, Adria Carbo1,2, Stefan Hoops1,2, Pawel Michalak4,5, Katarzyna Michalak4, Richard L. Guerrant2,3, James K. Roche2,3, Cirle A. Warren2,3, Josep Bassaganya-Riera1,2*
1) Nutritional Immunology and Molecular Medicine Laboratory, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, Virginia, United States of America, 2) Center for Modeling Immunity to Enteric Pathogens, Virginia Tech, Blacksburg, Virginia, United States of America, 3) Division of Infectious Disease and International Health, Center for Global Health, University of Virginia, Charlottesville, Virginia, United States of America, 4) Medical Informatics and Systems Division, Virginia Bioinformatics Institute, Virginia Tech, Blacksburg, Virginia, United States of America, 5) Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, United States of America
E-mail: jbassaga@vt.edu
This model represents the interaction between Cdiff, miRNA146b, NCOA4, PPARg, IL10 and IL17. Simulation studies show an aberrant expression of miRNA146b with increasing concentrations of Cdiff over time, which results in decreased PPARg activation due to NCOA4 inhibition. As a final result, PPARg is unable to modulate effector and regulatory responses, since results show an upregulation of IL17 expression and downregulation of IL10 production.
2005-01-01 | MODEL1210260004 | BioModels
Project description:Interventions: primary colorectal cancer group VS healthy control group:no intervention
Primary outcome(s): Peroxisome proliferator-activated receptor delta-87T>C
Study Design: Factorial
| 35322 | ecrin-mdr-crc
Project description:BACKGROUND: miRNA have been shown to play an important role during immune-mediated diseases such as inflammatory bowel disease. The aim of this study was to assess differential expression of miRNA between uninfected and infected mice with Clostridium difficile strain VPI 10463 RESULTS: MicroRNA (miRNA)-sequencing analysis indicated that miR-146b, miR-1940, and miR-1298 were significantly overexpressed in colons of C. difficile-infected mice Colon of uninfected and C.difficile-infected C57BL6/J WT mice were sampled at day 4 post-infection with Clostridium difficile VPI 10463. The infection dose was 107 cfu/mouse.
2012-07-11 | E-GEOD-39235 | biostudies-arrayexpress
Project description:Peroxisome proliferator activated receptor gamma controls mature brown adipocyte inducibility through glycerol kinase
| PRJNA401789 | ENA
Project description:Interventions: Experimental group:ß- hydroxy- ß- methyl butyrate;Control Group:No
Primary outcome(s): skeletal muscle index;tumor necrosis factor-like weak apoptosis-inducing factor;peroxisome proliferator-activated receptor coactivator 1-a;growth differentiation factor 15;grip strength;pace;leg circumference
Study Design: Parallel
| 2716507 | ecrin-mdr-crc
Project description:We investigated gene expression changes in the cardiac tissue of a transgenic mouse model overexpressing Peroxisome proliferator-activated receptor gamma coactivator 1-alpha isoform 4 (PGC-1α4) specifically in cardiomyocytes at the neonatal stage and at the age of four weeks.
2022-09-22 | GSE213642 | GEO
Project description:BACKGROUND: miRNA have been shown to play an important role during immune-mediated diseases such as inflammatory bowel disease. The aim of this study was to assess differential expression of miRNA between uninfected and infected mice with Clostridium difficile strain VPI 10463 RESULTS: MicroRNA (miRNA)-sequencing analysis indicated that miR-146b, miR-1940, and miR-1298 were significantly overexpressed in colons of C. difficile-infected mice
2012-07-11 | GSE39235 | GEO
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.
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BIOMD0000000583.
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2014-04-08 | BIOMD0000000583 | BioModels
Project description:Utilizing System Biology to Reveal Cellular Responses to Peroxisome Proliferator-Activated Receptor Gamma Ligand Exposure
| PRJNA681430 | ENA
Project description:Molecular characterization of novel peroxisome proliferator-activated receptor alpha agonists
| PRJNA113757 | ENA