20 research outputs found

    Isolation and characterization of a Forssman antigen-binding lectin from velvet bean ( Mucuna derringiana ) seeds

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    A Forssman antigen (GalNAcα1-3GalNAcβ1-3Galα1-4Galβ1-4Glcβ1-1Cer)-binding lectin has been purified from velvet bean ( Mucuna derringiana ) seeds by a combination of affinity chromatography and reversed phase HPLC. This lectin agglutinates both native and trypsin-treated sheep erythrocytes as well as trypsinized rabbit erythrocytes, but neither native rabbit nor human erythrocytes, irrespective of blood group type. SDS-PAGE and gel filtration chromatography reveal the lectin to be a homodimer consisting of two 54 kDa subunits linked by non-covalent bonds. The results obtained by quantitative precipitation, haemagglutination inhibition and TLC overlay assays indicate that the Mucuna lectin specifically recognizes Forssman antigen and Forssman disaccharide (GalNAcα1-3GalNAc)-related structures.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/45669/1/10719_2004_Article_BF00731278.pd

    KAPITEL V: DAS ORDINATIONSVERSTÄNDNIS DER PASTORALBRIEFE

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    10. Communitas und Anti-Struktur bei Paulus

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    I. Grundbegriffe: Definitionen und Feststellungen

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    Electrophysiological Endophenotypes for Schizophrenia

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    Endophenotypes are quantitative, heritable traits that may help to elucidate the pathophysiologic mechanisms underlying complex disease syndromes, such as schizophrenia. They can be assessed at numerous levels of analysis; here, we review electrophysiological endophenotypes that have shown promise in helping us understand schizophrenia from a more mechanistic point of view. For each endophenotype, we describe typical experimental procedures, reliability, heritability, and reported gene and neurobiological associations. We discuss recent findings regarding the genetic architecture of specific electrophysiological endophenotypes, as well as converging evidence from EEG studies implicating disrupted balance of glutamatergic signaling and GABA-ergic inhibition in the pathophysiology of schizophrenia. We conclude that refining the measurement of electrophysiological endophenotypes, expanding genetic association studies, and integrating datasets are important next steps for understanding the mechanisms that connect identified genetic risk loci for schizophrenia to the disease phenotype
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