Literature DB >> 20798114

Production and characterization of a monomeric form and a single-site form of Aleuria aurantia lectin.

Johan Olausson1, Eva Aström, Bengt-Harald Jonsson, Lena A E Tibell, Peter Påhlsson.   

Abstract

Lectins have widely been used in structural and functional studies of complex carbohydrates. They usually bind carbohydrates with relatively low affinity, but compensate for this by multivalency. This multivalent nature of lectins can sometimes produce unwanted reactions such as agglutination or precipitation of target glycoproteins, when using them in different biological and analytical assays. The mushroom lectin Aleuria aurantia binds to fucose-containing oligosaccharides. It is composed of two identical subunits, and each subunit contains five binding sites for fucose. In this study, two forms of recombinant AAL were produced using site-directed mutagenesis. A monomeric form of AAL was produced by exchanging Tyr6 with Arg6, and a single-site fragment of AAL was produced by insertion of an NdeI restriction enzyme cleavage site and a stop codon in the coding sequence. The AAL forms were expressed as His-tagged proteins in Escherichia coli and purified by affinity chromatography. Binding properties of the two AAL forms were performed using surface plasmon resonance, enzyme-linked lectin assay analyses and isothermal titration calorimetry. Both the monomeric AAL (mAAL) and the single-site AAL (S2-AAL) forms retained their capacity to bind fucosylated oligosaccharides. However, both constructs exhibited properties that differed from the intact recombinant AAL (rAAL). mAAL showed similar binding affinities to fucosylated oligosaccharides as rAAL, but had less hemagglutinating capacity. S2-AAL showed a lower binding affinity to fucosylated oligosaccharides and, in contrast to rAAL and mAAL, S2-AAL did not bind to sialylated fuco-oligosaccharides. The study shows that molecular engineering is a highly useful tool for producing lectins with more defined properties such as decreased valency and defined specificities and affinities. Thus, this approach has high potential in developing reliable diagnostic and biological assays for carbohydrate analysis.

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Year:  2010        PMID: 20798114     DOI: 10.1093/glycob/cwq129

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


  6 in total

Review 1.  The detection and discovery of glycan motifs in biological samples using lectins and antibodies: new methods and opportunities.

Authors:  Huiyuan Tang; Peter Hsueh; Doron Kletter; Marshall Bern; Brian Haab
Journal:  Adv Cancer Res       Date:  2015-02-07       Impact factor: 6.242

2.  Applying Pose Clustering and MD Simulations To Eliminate False Positives in Molecular Docking.

Authors:  Spandana Makeneni; David F Thieker; Robert J Woods
Journal:  J Chem Inf Model       Date:  2018-03-09       Impact factor: 4.956

3.  A detection and quantification label-free tool to speed up downstream processing of model mucins.

Authors:  Sofia B Carvalho; Ana Sofia Moreira; Joana Gomes; Manuel J T Carrondo; David J Thornton; Paula M Alves; Julia Costa; Cristina Peixoto
Journal:  PLoS One       Date:  2018-01-09       Impact factor: 3.240

4.  Reverse lectin ELISA for detecting fucosylated forms of α1-acid glycoprotein associated with hepatocellular carcinoma.

Authors:  Eva Åström; Per Stål; Robin Zenlander; Pia Edenvik; Catharina Alexandersson; Mats Haglund; Ingvar Rydén; Peter Påhlsson
Journal:  PLoS One       Date:  2017-03-15       Impact factor: 3.240

5.  Determination of Fucose Concentration in a Lectin-Based Displacement Microfluidic Assay.

Authors:  Per G Erlandsson; Eva Åström; Peter Påhlsson; Nathaniel D Robinson
Journal:  Appl Biochem Biotechnol       Date:  2019-02-02       Impact factor: 2.926

6.  Nanoscale controlled architecture for development of ultrasensitive lectin biosensors applicable in glycomics.

Authors:  L Kluková; T Bertók; P Kasák; J Tkac
Journal:  Anal Methods       Date:  2014-06-11       Impact factor: 2.896

  6 in total

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