56 research outputs found
CD229 (Ly9) lymphocyte cell surface receptor Interacts homophilically through Its N-Terminal domain and relocalizes to the immunological synapse
Producción CientíficaCD229 is a member of the CD150 family of the Ig superfamily expressed on T and B cells. Receptors of this family regulate
cytokine production and cytotoxicity of lymphocytes and NK cells. The cytoplasmic tail of CD229 binds to SAP, a protein that is
defective in X-linked lymphoproliferative syndrome. To identify the CD229 ligand, we generated a soluble Ig fusion protein
containing the two N-terminal extracellular domains of human CD229 (CD229-Ig). CD229-Ig bound to CD229-transfected cells,
whereas no binding was detected on cells expressing other CD150 family receptors, showing that CD229 binds homophilically.
Both human and mouse CD229 interacted with itself. Domain deletion mutants showed that the N-terminal Ig-domain mediates
homophilic adhesion. CD229-CD229 binding was severely compromised when the charged amino acids E27 and E29 on the
predicted B-C loop and R89 on the F-G loop of the N-terminal domain were mutated to alanine. In contrast, one mutation, R44A,
enhanced the homophilic interaction. Confocal microscopy image analysis revealed relocalization of CD229 to the contact area of
T and B cells during Ag-dependent immune synapse formation. Thus, CD229 is its own ligand and participates in the immunological
synapse
Knowledge management for systems biology a general and visually driven framework applied to translational medicine
<p>Abstract</p> <p>Background</p> <p>To enhance our understanding of complex biological systems like diseases we need to put all of the available data into context and use this to detect relations, pattern and rules which allow predictive hypotheses to be defined. Life science has become a data rich science with information about the behaviour of millions of entities like genes, chemical compounds, diseases, cell types and organs, which are organised in many different databases and/or spread throughout the literature. Existing knowledge such as genotype - phenotype relations or signal transduction pathways must be semantically integrated and dynamically organised into structured networks that are connected with clinical and experimental data. Different approaches to this challenge exist but so far none has proven entirely satisfactory.</p> <p>Results</p> <p>To address this challenge we previously developed a generic knowledge management framework, BioXM™, which allows the dynamic, graphic generation of domain specific knowledge representation models based on specific objects and their relations supporting annotations and ontologies. Here we demonstrate the utility of BioXM for knowledge management in systems biology as part of the EU FP6 BioBridge project on translational approaches to chronic diseases. From clinical and experimental data, text-mining results and public databases we generate a chronic obstructive pulmonary disease (COPD) knowledge base and demonstrate its use by mining specific molecular networks together with integrated clinical and experimental data.</p> <p>Conclusions</p> <p>We generate the first semantically integrated COPD specific public knowledge base and find that for the integration of clinical and experimental data with pre-existing knowledge the configuration based set-up enabled by BioXM reduced implementation time and effort for the knowledge base compared to similar systems implemented as classical software development projects. The knowledgebase enables the retrieval of sub-networks including protein-protein interaction, pathway, gene - disease and gene - compound data which are used for subsequent data analysis, modelling and simulation. Pre-structured queries and reports enhance usability; establishing their use in everyday clinical settings requires further simplification with a browser based interface which is currently under development.</p
In utero undernutrition in male mice programs liver lipid metabolism in the second-generation offspring involving altered lxra DNA methylation
SummaryObesity and type 2 diabetes have a heritable component that is not attributable to genetic factors. Instead, epigenetic mechanisms may play a role. We have developed a mouse model of intrauterine growth restriction (IUGR) by in utero malnutrition. IUGR mice developed obesity and glucose intolerance with aging. Strikingly, offspring of IUGR male mice also developed glucose intolerance. Here, we show that in utero malnutrition of F1 males influenced the expression of lipogenic genes in livers of F2 mice, partly due to altered expression of Lxra. In turn, Lxra expression is attributed to altered DNA methylation of its 5′ UTR region. We found the same epigenetic signature in the sperm of their progenitors, F1 males. Our data indicate that in utero malnutrition results in epigenetic modifications in germ cells (F1) that are subsequently transmitted and maintained in somatic cells of the F2, thereby influencing health and disease risk of the offspring
Growth Differentiation Factor 15 is a potential biomarker of therapeutic response for TK2 deficient myopathy
GDF-15 is a biomarker for mitochondrial diseases. We investigated the application of GDF-15 as biomarker of disease severity and response to deoxynucleoside treatment in patients with thymidine kinase 2 (TK2) deficiency and compared it to FGF-21. GDF-15 and FGF-21 were measured in serum from 24 patients with TK2 deficiency treated 1–49 months with oral deoxynucleosides. Patients were grouped according to age at treatment and biomarkers were analyzed at baseline and various time points after treatment initiation. GDF-15 was elevated on average 30-fold in children and 6-fold in adults before the start of treatment. There was a significant correlation between basal GDF-15 and severity based on pretreatment distance walked (6MWT) and weight (BMI). During treatment, GDF-15 significantly declined, and the decrease was accompanied by relevant clinical improvements. The decline was greater in the paediatric group, which included the most severe patients and showed the greatest clinical benefit, than in the adult patients. The decline of FGF-21 was less prominent and consistent. GDF-15 is a potential biomarker of severity and of therapeutic response for patients with TK2 deficiency. In addition, we show evidence of clinical benefit of deoxynucleoside treatment, especially when treatment is initiated at an early age
Growth Differentiation Factor 15 is a potential biomarker of therapeutic response for TK2 deficient myopathy
GDF-15 is a biomarker for mitochondrial diseases. We investigated the application of GDF-15 as biomarker of disease severity and response to deoxynucleoside treatment in patients with thymidine kinase 2 (TK2) deficiency and compared it to FGF-21. GDF-15 and FGF-21 were measured in serum from 24 patients with TK2 deficiency treated 1-49 months with oral deoxynucleosides. Patients were grouped according to age at treatment and biomarkers were analyzed at baseline and various time points after treatment initiation. GDF-15 was elevated on average 30-fold in children and 6-fold in adults before the start of treatment. There was a significant correlation between basal GDF-15 and severity based on pretreatment distance walked (6MWT) and weight (BMI). During treatment, GDF-15 significantly declined, and the decrease was accompanied by relevant clinical improvements. The decline was greater in the paediatric group, which included the most severe patients and showed the greatest clinical benefit, than in the adult patients. The decline of FGF-21 was less prominent and consistent. GDF-15 is a potential biomarker of severity and of therapeutic response for patients with TK2 deficiency. In addition, we show evidence of clinical benefit of deoxynucleoside treatment, especially when treatment is initiated at an early age
A Systems Biology Approach Identifies Molecular Networks Defining Skeletal Muscle Abnormalities in Chronic Obstructive Pulmonary Disease
Chronic Obstructive Pulmonary Disease (COPD) is an inflammatory process of the lung inducing persistent airflow limitation. Extensive systemic effects, such as skeletal muscle dysfunction, often characterize these patients and severely limit life expectancy. Despite considerable research efforts, the molecular basis of muscle degeneration in COPD is still a matter of intense debate. In this study, we have applied a network biology approach to model the relationship between muscle molecular and physiological response to training and systemic inflammatory mediators. Our model shows that failure to co-ordinately activate expression of several tissue remodelling and bioenergetics pathways is a specific landmark of COPD diseased muscles. Our findings also suggest that this phenomenon may be linked to an abnormal expression of a number of histone modifiers, which we discovered correlate with oxygen utilization. These observations raised the interesting possibility that cell hypoxia may be a key factor driving skeletal muscle degeneration in COPD patients
Altered Blood Gene Expression of Tumor-Related Genes (PRKCB, BECN1, and CDKN2A) in Alzheimer’s Disease
Osmotic permeability in a molecular dynamics simulation of water transport through a single-occupancy pore
AbstractThe aim of this work is to determine plausible values for the rate constants of kinetic models representing water transport through narrow pores. We present here the results of molecular dynamics simulations of the movement of water molecules through a single-site hydrophilic pore. The system consists of a rectangular box of water molecules, some of which are positionally restrained so as to act as a membrane. This membrane separates two compartments where water molecules move freely; one of the positions in the membrane is initially vacant (the ‘single-site pore’), but can be occupied by mobile molecules. To analyze the results, we represented the pore by a two-state kinetic diagram in which the vacant and occupied states are linked by transitions corresponding to the binding and release of water molecules. The mean occupancy and vacancy times directly yield the rate constants of binding and release, which in turn yield the osmotic water permeability coefficient per pore pf. We also compute the apparent activation energies ΔE∗ for the rate constants and for pf The pf value was (1.56 ± 0.04) · 10−11cm3/s (at 307 K), which is much larger than those determined for CHIP28 and for gramicidin A (of about 10−13and 10−14cm3/s, respectively). These values were compared with those arising from a model of a symmetric single-file pore through which one-vacancy-mediated water transport takes place. The model yields an expression for pf as a function of the rate constants and of the number of molecular positions (n) in the file. When n = 1, this expression becomes the one corresponding to the single-site pore studied in our current simulation. Using the rate constants of binding and release derived from our simulation, the pf values are consistent with an occupancy value of 5–6 found for gramicidin A, and with occupancies of 4–7 that can be estimated for the single-file pore of a recently proposed model for CHIP28. ΔE∗ for pf is 3.0 kcal/mol, a value similar to that determined for CHIP28. Hence, the system simulated here appears plausible and can be used to mimic some physical properties of water transport through biological pores
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