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      The structure of a β 2-microglobulin fibril suggests a molecular basis for its amyloid polymorphism

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          Abstract

          All amyloid fibrils contain a cross-β fold. How this structure differs in fibrils formed from proteins associated with different diseases remains unclear. Here, we combine cryo-EM and MAS-NMR to determine the structure of an amyloid fibril formed in vitro from β 2-microglobulin (β 2m), the culprit protein of dialysis-related amyloidosis. The fibril is composed of two identical protofilaments assembled from subunits that do not share β 2m’s native tertiary fold, but are formed from similar β-strands. The fibrils share motifs with other amyloid fibrils, but also contain unique features including π-stacking interactions perpendicular to the fibril axis and an intramolecular disulfide that stabilises the subunit fold. We also describe a structural model for a second fibril morphology and show that it is built from the same subunit fold. The results provide insights into the mechanisms of fibril formation and the commonalities and differences within the amyloid fold in different protein sequences.

          Abstract

          Impaired kidney function can lead to an increase of β 2-microglobulin (β 2m) serum levels, which can cause β 2m aggregation and amyloid fibril formation. Here the authors combine cryo-EM and magic angle spinning NMR measurements to determine the structure of a β 2m fibril and they also present the low resolution model of a β 2m fibril with a different morphology.

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          Knowledge-based protein secondary structure assignment.

          We have developed an automatic algorithm STRIDE for protein secondary structure assignment from atomic coordinates based on the combined use of hydrogen bond energy and statistically derived backbone torsional angle information. Parameters of the pattern recognition procedure were optimized using designations provided by the crystallographers as a standard-of-truth. Comparison to the currently most widely used technique DSSP by Kabsch and Sander (Biopolymers 22:2577-2637, 1983) shows that STRIDE and DSSP assign secondary structural states in 58 and 31% of 226 protein chains in our data sample, respectively, in greater agreement with the specific residue-by-residue definitions provided by the discoverers of the structures while in 11% of the chains, the assignments are the same. STRIDE delineates every 11th helix and every 32nd strand more in accord with published assignments.
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            Shape complementarity at protein/protein interfaces.

            A new statistic Sc, which has a number of advantages over other measures of packing, is used to examine the shape complementarity of protein/protein interfaces selected from the Brookhaven Protein Data Bank. It is shown using Sc that antibody/antigen interfaces as a whole exhibit poorer shape complementarity than is observed in other systems involving protein/protein interactions. This result can be understood in terms of the fundamentally different evolutionary history of particular antibody/antigen associations compared to other systems considered, and in terms of the differing chemical natures of the interfaces.
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              Major Histocompatibility Complex (MHC) Class I and MHC Class II Proteins: Conformational Plasticity in Antigen Presentation

              Antigen presentation by major histocompatibility complex (MHC) proteins is essential for adaptive immunity. Prior to presentation, peptides need to be generated from proteins that are either produced by the cell’s own translational machinery or that are funneled into the endo-lysosomal vesicular system. The prolonged interaction between a T cell receptor and specific pMHC complexes, after an extensive search process in secondary lymphatic organs, eventually triggers T cells to proliferate and to mount a specific cellular immune response. Once processed, the peptide repertoire presented by MHC proteins largely depends on structural features of the binding groove of each particular MHC allelic variant. Additionally, two peptide editors—tapasin for class I and HLA-DM for class II—contribute to the shaping of the presented peptidome by favoring the binding of high-affinity antigens. Although there is a vast amount of biochemical and structural information, the mechanism of the catalyzed peptide exchange for MHC class I and class II proteins still remains controversial, and it is not well understood why certain MHC allelic variants are more susceptible to peptide editing than others. Recent studies predict a high impact of protein intermediate states on MHC allele-specific peptide presentation, which implies a profound influence of MHC dynamics on the phenomenon of immunodominance and the development of autoimmune diseases. Here, we review the recent literature that describe MHC class I and II dynamics from a theoretical and experimental point of view and we highlight the similarities between MHC class I and class II dynamics despite the distinct functions they fulfill in adaptive immunity.
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                Author and article information

                Contributors
                rgg@mit.edu
                n.a.ranson@leeds.ac.uk
                s.e.radford@leeds.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                30 October 2018
                30 October 2018
                2018
                : 9
                : 4517
                Affiliations
                [1 ]ISNI 0000 0004 1936 8403, GRID grid.9909.9, Astbury Centre for Structural Molecular Biology, School of Molecular & Cellular Biology, Faculty of Biological Sciences, , University of Leeds, ; Leeds, LS2 9JT UK
                [2 ]ISNI 0000 0001 2341 2786, GRID grid.116068.8, Department of Chemistry and Francis Bitter Magnet Laboratory, , Massachusetts Institute of Technology, ; Cambridge, MA 02139 USA
                [3 ]ISNI 0000 0004 0472 0419, GRID grid.255986.5, Present Address: Department of Chemistry & Biochemistry, , Florida State University, ; 95 Chieftan Way Rm. 118 DLC, Tallahassee, FL 32306-4390 USA
                [4 ]ISNI 0000 0001 2297 5165, GRID grid.94365.3d, Present Address: Laboratory of Chemical Physics, National Institute of Diabetes and Digestive and Kidney Diseases, , NIH, ; Bethesda, MD 20892-0510 USA
                [5 ]ISNI 0000 0001 2107 4242, GRID grid.266100.3, Present Address: Department of Chemistry and Biochemistry, , University of California San Diego, ; La Jolla, CA 92093 USA
                [6 ]ISNI 0000 0001 2260 0793, GRID grid.417993.1, Present Address: Merck Research Laboratories, , Merck & Co., Inc., ; Kenilworth, NJ 07033 USA
                Author information
                http://orcid.org/0000-0001-6152-1844
                http://orcid.org/0000-0003-0197-3878
                http://orcid.org/0000-0001-6775-9415
                http://orcid.org/0000-0001-5063-3218
                http://orcid.org/0000-0003-1589-832X
                http://orcid.org/0000-0002-3640-5275
                http://orcid.org/0000-0002-3079-8039
                Article
                6761
                10.1038/s41467-018-06761-6
                6207761
                30375379
                7874ef15-8527-452f-bfbd-15e6a5336327
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 August 2018
                : 20 September 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 108466/Z/15/Z
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000781, EC | European Research Council (ERC);
                Award ID: 322408
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: SI2105/1-1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000002, U.S. Department of Health & Human Services | National Institutes of Health (NIH);
                Award ID: EB-002026
                Award ID: AG 058504
                Award Recipient :
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