14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      X-Ray Crystal Structure of the Full Length Human Chitotriosidase (CHIT1) Reveals Features of Its Chitin Binding Domain

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Chitinases are enzymes that catalyze the hydrolysis of chitin. Human chitotriosidase (CHIT1) is one of the two active human chitinases, involved in the innate immune response and highly expressed in a variety of diseases. CHIT1 is composed of a catalytic domain linked by a hinge to its chitin binding domain (ChBD). This latter domain belongs to the carbohydrate-binding module family 14 (CBM14 family) and facilitates binding to chitin. So far, the available crystal structures of the human chitinase CHIT1 and the Acidic Mammalian Chitinase (AMCase) comprise only their catalytic domain. Here, we report a crystallization strategy combining cross-seeding and micro-seeding cycles which allowed us to obtain the first crystal structure of the full length CHIT1 (CHIT1-FL) at 1.95 Å resolution. The CHIT1 chitin binding domain (ChBD CHIT1) structure shows a distorted β-sandwich 3D fold, typical of CBM14 family members. Accordingly, ChBD CHIT1 presents six conserved cysteine residues forming three disulfide bridges and several exposed aromatic residues that probably are involved in chitin binding, including the highly conserved Trp465 in a surface- exposed conformation. Furthermore, ChBD CHIT1 presents a positively charged surface which may be involved in electrostatic interactions. Our data highlight the strong structural conservation of CBM14 family members and uncover the structural similarity between the human ChBD CHIT1, tachycitin and house mite dust allergens. Overall, our new CHIT1-FL structure, determined with an adapted crystallization approach, is one of the few complete bi-modular chitinase structures available and reveals the structural features of a human CBM14 domain.

          Related collections

          Most cited references38

          • Record: found
          • Abstract: found
          • Article: not found

          ConSurf: identification of functional regions in proteins by surface-mapping of phylogenetic information.

          We recently developed algorithmic tools for the identification of functionally important regions in proteins of known three dimensional structure by estimating the degree of conservation of the amino-acid sites among their close sequence homologues. Projecting the conservation grades onto the molecular surface of these proteins reveals patches of highly conserved (or occasionally highly variable) residues that are often of important biological function. We present a new web server, ConSurf, which automates these algorithmic tools. ConSurf may be used for high-throughput characterization of functional regions in proteins. The ConSurf web server is available at:http://consurf.tau.ac.il. A set of examples is available at http://consurf.tau.ac.il under 'GALLERY'.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Comparison of site-specific rate-inference methods for protein sequences: empirical Bayesian methods are superior.

            The degree to which an amino acid site is free to vary is strongly dependent on its structural and functional importance. An amino acid that plays an essential role is unlikely to change over evolutionary time. Hence, the evolutionary rate at an amino acid site is indicative of how conserved this site is and, in turn, allows evaluation of its importance in maintaining the structure/function of the protein. When using probabilistic methods for site-specific rate inference, few alternatives are possible. In this study we use simulations to compare the maximum-likelihood and Bayesian paradigms. We study the dependence of inference accuracy on such parameters as number of sequences, branch lengths, the shape of the rate distribution, and sequence length. We also study the possibility of simultaneously estimating branch lengths and site-specific rates. Our results show that a Bayesian approach is superior to maximum-likelihood under a wide range of conditions, indicating that the prior that is incorporated into the Bayesian computation significantly improves performance. We show that when branch lengths are unknown, it is better first to estimate branch lengths and then to estimate site-specific rates. This procedure was found to be superior to estimating both the branch lengths and site-specific rates simultaneously. Finally, we illustrate the difference between maximum-likelihood and Bayesian methods when analyzing site-conservation for the apoptosis regulator protein Bcl-x(L).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Advances in understanding the molecular basis of plant cell wall polysaccharide recognition by carbohydrate-binding modules.

              Plant cell walls are complex configurations of polysaccharides that are recalcitrant to degradation. The enzymes deployed by microbes to degrade these materials comprise glycoside hydrolases, polysaccharide lyases, carbohydrate esterases and polysaccharide oxidases. Non-catalytic carbohydrate-binding modules (CBMs) are found as discretely folded units within the multi-modular structures of these enzymes where they play critical roles in the recognition of plant cell wall components and potentiating the activity of the enzymes. Here we propose a refinement to the Types A, B, and C classification of CBMs whereby the Type A CBMs remain those that bind the surfaces of crystalline polysaccharides but the Type B CBMs are redefined as those that bind internally on glycan chains (endo-type), CBMs that bind to the termini of glycan chains are defined as Type C modules (exo-type). In this context, we discuss recent advances, primarily driven by structural studies, which reveal the molecular modes of CBM-sugar interactions and how this specifically underpins and influences the biological function of CBMs in cell wall recognition and degradation. Copyright © 2013 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                25 April 2016
                2016
                : 11
                : 4
                : e0154190
                Affiliations
                [1 ]Department of Integrative Biology, Institute of Genetics and Molecular and Cellular Biology (IGBMC), CNRS UMR 7104, INSERM U 964, Université de Strasbourg, Illkirch, France
                [2 ]Division of Structural Biology, University of Oxford, The Henry Wellcome Building for Genomic Medicine, Headington, Oxford, United Kingdom
                University of Graz, AUSTRIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: FF AP. Performed the experiments: FF YZ AC-S AM. Analyzed the data: FF FXR AP. Contributed reagents/materials/analysis tools: YZ FXR. Wrote the paper: FF.

                [¤a]

                Current address: Laboratoire d’Ingénierie des Systèmes Macromoléculaires, UMR7255 CNRS - Aix Marseille University, Marseille, France and Architecture et Fonction des Macromolécules Biologiques – UMR7257 CNRS – Aix-Marseille University – Case 932, Marseille, France

                [¤b]

                Current address: Center for Advanced Biotechnology and Medicine, Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, New Jersey, United States of America

                Article
                PONE-D-16-01139
                10.1371/journal.pone.0154190
                4844120
                27111557
                8abbd54c-9ade-4aab-baa1-ecb6e247a5a9
                © 2016 Fadel et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 10 January 2016
                : 11 April 2016
                Page count
                Figures: 3, Tables: 1, Pages: 15
                Funding
                This work has been supported by the CNRS, the INSERM, the Université de Strasbourg. The authors wish to acknowledge the following grant funding: Biostruct-X (FP7, contract 283570, http://www.biostruct-x.eu/), and the French Infrastructure for Integrated Structural Biology (FRISBI, ANR-10-INSB-05-01, http://frisbi.eu/).
                Categories
                Research Article
                Physical Sciences
                Physics
                Condensed Matter Physics
                Solid State Physics
                Crystallography
                Crystal Structure
                Physical Sciences
                Chemistry
                Polymer Chemistry
                Macromolecules
                Polymers
                Chitin
                Physical Sciences
                Materials Science
                Materials by Structure
                Polymers
                Chitin
                Physical Sciences
                Chemistry
                Chemical Reactions
                Chemical Precipitation
                Crystallization
                Physical Sciences
                Physics
                Condensed Matter Physics
                Solid State Physics
                Crystallography
                Crystallization
                Physical Sciences
                Materials Science
                Materials by Structure
                Crystals
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Domains
                Biology and Life Sciences
                Molecular Biology
                Macromolecular Structure Analysis
                Protein Structure
                Biology and Life Sciences
                Biochemistry
                Proteins
                Protein Structure
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Amino Acids
                Sulfur Containing Amino Acids
                Cysteine
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Amino Acids
                Sulfur Containing Amino Acids
                Cysteine
                Biology and Life Sciences
                Biochemistry
                Proteins
                Amino Acids
                Sulfur Containing Amino Acids
                Cysteine
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzyme Structure
                Custom metadata
                The CHIT1-FL structure is available from the PDB database (PDB ID: 5HBF).

                Uncategorized
                Uncategorized

                Comments

                Comment on this article