Ontology highlight
ABSTRACT:
PROVIDER: PRJNA382079 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5429400_1.fastq.gz | Fastqsanger.gz | |||
| SRR5429400_2.fastq.gz | Fastqsanger.gz | |||
| SRR5429410_1.fastq.gz | Fastqsanger.gz | |||
| SRR5429410_2.fastq.gz | Fastqsanger.gz | |||
| SRR5429420_1.fastq.gz | Fastqsanger.gz |
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Project description:Infection is a devastating post-surgical complication, often necessitating additional procedures and prolonged antibiotic therapy. This is especially relevant for craniotomy and prosthetic joint infections, both of which are characterized by biofilm formation on the bone or implant surface, respectively, with S. aureus representing a primary cause. The effectiveness of immune responses to these infections is predicated on both host- and pathogen-derived signals in the infection microenvironment. However, the extent to which these signals differ across distinct tissue niches and influence immune function remains relatively unknown. Using mouse models of S. aureus craniotomy and prosthetic joint infection complemented with patient samples from both infectious modalities, we show profound metabolomic, transcriptomic, and functional differences that are dependent on tissue niche. These signatures were both spatially and temporally distinct, differing not only between surgical site infections but evolving over time within a single model. These findings highlight the unique immune attributes of biofilms that are heavily influenced by the local tissue microenvironment, which will likely have important implications when designing therapeutic approaches to target specific infections.
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Project description:Pathological bone changes differ considerably between inflammatory arthritic diseases, and most studies have focused on bone erosion. Collagen Induced Arthritis (CIA) is a model for Rheumatoid Arthritis, which, in addition to bone erosion, demonstrates bone formation at the time for clinical manifestations. The objective of this study was to use the CIA model to study bone remodelling by performing a gene expression profiling time-course study on the CIA model. Three tarsal joints were sampled per clinical phase from the following clinical phases: Duration of clinical arthritis 0-3 days, duration of clinical arthritis 1-2 weeks, duration of clinical arthritis 3-4 weeks and duration of clinical arthritis minimum 3 weeks and declining (Twelve joints in total). For the clinical phase M-bM-^@M-^\DeclineM-bM-^@M-^] the joints had had a clinical score of 3 for minimum 3 weeks, after which the clinical score had declined minimum 1 score when the joint was sampled. For all other joints, the clinical score was 3 at the sampling time. The twelve joints were compared to three joints from non-induced control animals. The joints were processed and analysed separately (unpooledM-BM- ). The joints were snap-frozen in liquid N2 and stored at -80M-KM-^ZC. RNA was extracted using the mirVanaTM miRNA isolation kit (Ambion, Denmark), amplified and labelled using the Pico amplification kit (Nugen, San Carlos, USA), according to the manufacturersM-BM-4 instructions, followed by hybridisation to Mouse Gene 1.0ST microarrays (Affymetrix, Santa Clara, USA). The quality of the RNA was evaluated using RNA integrity numbers (RIN) and only samples with values of minimum 8.4 were chosen for further analysis.
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Project description:The paper describes a model of multiple myeloma.
Created by COPASI 4.26 (Build 213)
This model is described in the article:
A mathematical model of cell equilibrium and joint cell formation in multiple myeloma
M.A. Koenders, R. Saso
Journal of Theoretical Biology 390 (2016) 73–79
Abstract:
In Multiple Myeloma Bone Disease healthy bone remodelling is affected by tumour cells by means of paracrine cytokinetic signalling in such a way that osteoclast formation is enhanced and the growth of osteoblast cells inhibited. The participating cytokines are described in the literature. Osteoclast-induced myeloma cell growth is also reported. Based on existing mathematical models for healthy bone remo- delling a three-way equilibrium model is presented for osteoclasts, osteoblasts and myeloma cell populations to describe the progress of the illness in a scenario in which there is a secular increase in the cytokinetic interactive effectiveness of paracrine processes. The equilibrium state for the system is obtained. The paracrine interactive effectiveness is explored by parameter variation and the stable region in the parameter space is identified. Then recently-discovered joint myeloma–osteoclast cells are added to the model to describe the populations inside lytic lesions. It transpires that their presence expands the available parameter space for stable equilibrium, thus permitting a detrimental, larger population of osteoclasts and myeloma cells. A possible relapse mechanism for the illness is explored by letting joint cells dissociate. The mathematics then permits the evaluation of the evolution of the cell populations as a function of time during relapse.
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2024-09-02 | BIOMD0000000804 | BioModels