Plasma miRNA Expression Profiling Using Human TaqMan Low Density Array Cards
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE46012 | GEO | 2013/04/13
SECONDARY ACCESSION(S): PRJNA196895
REPOSITORIES: GEO
Similar Datasets
Project description:Our study was designed to identify plasma miRNAs specific for rheumatoid arthritis (RA) by a comprehensive array approach. We performed a array-based miRNA analysis on plasma samples from three RA patients and three healthy controls (HCs). TaqMan Low-Density Array (TLDA) using human miRNA version 3.0A and version 2.0B cards (Applied Biosystems) were applied to examine the global change of miRNA expression levels in plasma from patients with RA and healthy controls. A total of 756 mature miRNA updated in the Sanger miRBase v.15.0 were quantified according to the manufacturer's instructions as previously described. Normalization was carried out with the average Ct value of all miRNAs. Relative quantification of miRNA expression was calculated with the 2−ΔΔCt Ct method. The data was presented as log10 of the relative quantity of each miRNA.
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Project description:Baker2013 - Cytokine Mediated Inflammation in
Rheumatoid Arthritis - Age Dependant
This model by Baker M. 2013, describes
the interaction between pro and anti-inflammatory cytokine
signalling in rheumatoid arthritis.
Using two ordinary differential equations, the first model
[BIOMD0000000550]
analyses bifurcation and describes different pathological states by
altering inflammatory regulation parameters.
The second model
[BIOMD0000000549]
includes the effect that ageing has on pro-inflammatory signalling,
allowing for time-dependant properties and disease progression to
be observed. The author also describes potential dosing for
reversal of the disease state.
This model is described in the article:
Mathematical modelling of
cytokine-mediated inflammation in rheumatoid arthritis.
Baker M, Denman-Johnson S, Brook BS,
Gaywood I, Owen MR.
Math Med Biol 2013 Dec; 30(4):
311-337
Abstract:
Rheumatoid arthritis (RA) is a chronic inflammatory disease
preferentially affecting the joints and leading, if untreated,
to progressive joint damage and disability. Cytokines, a group
of small inducible proteins, which act as intercellular
messengers, are key regulators of the inflammation that
characterizes RA. They can be classified into pro-inflammatory
and anti-inflammatory groups. Numerous cytokines have been
implicated in the regulation of RA with complex up and down
regulatory interactions. This paper considers a two-variable
model for the interactions between pro-inflammatory and
anti-inflammatory cytokines, and demonstrates that mathematical
modelling may be used to investigate the involvement of
cytokines in the disease process. The model displays a range of
possible behaviours, such as bistability and oscillations,
which are strongly reminiscent of the behaviour of RA e.g.
genetic susceptibility and remitting-relapsing disease. We also
show that the dose regimen as well as the dose level are
important factors in RA treatments.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000549.
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To the extent possible under law, all copyright and related or
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2014-09-25 | BIOMD0000000549 | BioModels