Eosinophil cationic protein (ECP), a secretory protein of the eosinophil granulocyte, is a basic and highly heterogeneous protein. This heterogeneity is dependent on polymorphisms in the ECP gene and post-translational modifications, and it affects the functional properties of the protein in terms of cytotoxicity. The aim of this study was to further investigate the molecular heterogeneity, hence, an affinity capture assay based on an antigen-antibody interaction with the surface-enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF MS) technique was developed. Of three monoclonal antibodies tested, that is, EG2, 614, and 652, the 614 mab was chosen for the experiments. ECP heterogeneity of single individuals was studied in extracts of purified blood eosinophils, and the presence of approximately 5 major molecular species was demonstrated in each subject. ECP from subjects with different ECP 434(G>C) genotypes (arg97thr) showed mass differences corresponding to the amino acid shift from arginine to threonine. ECP purified from pooled leukocytes of large numbers of healthy blood donors demonstrated an extensive mass heterogeneity with approximately 10 major molecular species. By the use of a variety of glucosidases it was shown that this heterogeneity was mainly due to N-linked oligosaccharides on which sialic acid, galactose, and acetylglucosamine was positioned. We conclude that the SELDI-TOF MS technique using specific monoclonal antibodies is a convenient and versatile tool; by means of this technique, we could detect both genetic and post-translational causes of the molecular heterogeneity of the eosinophil cationic protein.
BackgroundThe Fat mass and obesity gene (FTO) has been identified through genome wide association studies as an important genetic factor contributing to a higher body mass index (BMI). However, the molecular context in which this effect is mediated has yet to be determined. We investigated the potential molecular network for FTO by analyzing co-expression and protein-protein interaction databases, Coxpresdb and IntAct, as well as the functional coupling predicting multi-source database, FunCoup. Hypothalamic expression of FTO-linked genes defined with this bioinformatics approach was subsequently studied using quantitative real time-PCR in mouse feeding models known to affect FTO expression.ResultsWe identified several candidate genes for functional coupling to FTO through database studies and selected nine for further study in animal models. We observed hypothalamic expression of Profilin 2 (Pfn2), cAMP-dependent protein kinase catalytic subunit beta (Prkacb), Brain derived neurotrophic factor (Bdnf), neurotrophic tyrosine kinase, receptor, type 2 (Ntrk2), Signal transducer and activator of transcription 3 (Stat3), and Btbd12 to be co-regulated in concert with Fto. Pfn2 and Prkacb have previously not been linked to feeding regulation.ConclusionsGene expression studies validate several candidates generated through database studies of possible FTO-interactors. We speculate about a wider functional role for FTO in the context of current and recent findings, such as in extracellular ligand-induced neuronal plasticity via NTRK2/BDNF, possibly via interaction with the transcription factor CCAAT/enhancer binding protein β (C/EBPβ).
We outline an approach to logical analysis and formalization of legal argumentation and dispute as game trees, wellknown in AI, using metalogic programming. The argument/counterargument dialectic is facilitated through defeasible reasoning, and the applied principles are sought demonstrated by unravelling of a legal case within statutory law.
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