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.
Project description:The Gram-positive bacterium Clostridium difficile, a leading cause of antibiotic-associated pseudomembranous colitis, has received increasing attention due to a rising incidence of clinical C. difficile infections (CDI). Despite progress understanding bacterial factors that promote CDI-associated morbidity and mortality, many fundamental aspects of C. difficile biology remain to be explored. Compared to other Gram-positive pathogens, little is known about the bacterium’s transcriptome architecture and in particular mechanisms of post-transcriptional control. To close this knowledge gap, we have applied a suite of transcriptome-focused techniques, including transcription start site mapping (dRNA-seq), transcription termination mapping, and Hfq RIP-seq, resulting in a single-nucleotide resolution RNA map of C. difficile strain 630.
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.
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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