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      Common allotypes of ER aminopeptidase 1 have substrate-dependent and highly variable enzymatic properties

      research-article
      1 , , 2 , , 3 , 4 , 5 , 1 , 6 , 2 , 7 ,
      The Journal of Biological Chemistry
      American Society for Biochemistry and Molecular Biology
      aminopeptidase, peptide, enzyme kinetics, allotypes, single nucleotide polymorphisms, adaptive immunity, autoimmunity, antigen processing and presentation, inflammatory disease, inhibitors, AS, ankylosing spondylitis, ER, endoplasmic reticulum, ERAP, endoplasmic reticulum aminopeptidase, HLAs, human leukocyte antigens, Leu-AMC, l-leucine-7-amido-4-methylcoumarin, Leu-pNA, l-leucine-para-nitroanilide, MHC, major histocompatibility complex, MHCI, MHC class I molecules, MM, Michaelis–Menten

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          Abstract

          Polymorphic variation of immune system proteins can drive variability of individual immune responses. Endoplasmic reticulum aminopeptidase 1 (ERAP1) generates antigenic peptides for presentation by major histocompatibility complex class I molecules. Coding SNPs in ERAP1 have been associated with predisposition to inflammatory rheumatic disease and shown to affect functional properties of the enzyme, but the interplay between combinations of these SNPs as they exist in allotypes has not been thoroughly explored. We used phased genotype data to estimate ERAP1 allotype frequency in 2504 individuals across five major human populations, generated highly pure recombinant enzymes corresponding to the ten most common ERAP1 allotypes, and systematically characterized their in vitro enzymatic properties. We find that ERAP1 allotypes possess a wide range of enzymatic activities, up to 60-fold, whose ranking is substrate dependent. Strikingly, allotype 10, previously associated with Behçet’s disease, is consistently a low-activity outlier, suggesting that a significant percentage of individuals carry a subactive ERAP1 gene. Enzymatic analysis revealed that ERAP1 allotypes can differ in both catalytic efficiency and substrate affinity, differences that can change intermediate accumulation in multistep trimming reactions. Alterations in efficacy of an allosteric inhibitor that targets the regulatory site suggest that allotypic variation influences the communication between the regulatory and the active site. Our work defines the wide landscape of ERAP1 activity in human populations and demonstrates how common allotypes can induce substrate-dependent variability in antigen processing, thus contributing, in synergy with major histocompatibility complex haplotypes, to immune response variability and predisposition to chronic inflammatory conditions.

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          Most cited references55

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          A global reference for human genetic variation

          The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations. Here we report completion of the project, having reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-genome sequencing, deep exome sequencing, and dense microarray genotyping. We characterized a broad spectrum of genetic variation, in total over 88 million variants (84.7 million single nucleotide polymorphisms (SNPs), 3.6 million short insertions/deletions (indels), and 60,000 structural variants), all phased onto high-quality haplotypes. This resource includes >99% of SNP variants with a frequency of >1% for a variety of ancestries. We describe the distribution of genetic variation across the global sample, and discuss the implications for common disease studies.
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            The mutational constraint spectrum quantified from variation in 141,456 humans

            Genetic variants that inactivate protein-coding genes are a powerful source of information about the phenotypic consequences of gene disruption: genes that are crucial for the function of an organism will be depleted of such variants in natural populations, whereas non-essential genes will tolerate their accumulation. However, predicted loss-of-function variants are enriched for annotation errors, and tend to be found at extremely low frequencies, so their analysis requires careful variant annotation and very large sample sizes 1 . Here we describe the aggregation of 125,748 exomes and 15,708 genomes from human sequencing studies into the Genome Aggregation Database (gnomAD). We identify 443,769 high-confidence predicted loss-of-function variants in this cohort after filtering for artefacts caused by sequencing and annotation errors. Using an improved model of human mutation rates, we classify human protein-coding genes along a spectrum that represents tolerance to inactivation, validate this classification using data from model organisms and engineered human cells, and show that it can be used to improve the power of gene discovery for both common and rare diseases.
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              UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

              Cathie Sudlow and colleagues describe the UK Biobank, a large population-based prospective study, established to allow investigation of the genetic and non-genetic determinants of the diseases of middle and old age.
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                Author and article information

                Contributors
                Journal
                J Biol Chem
                J Biol Chem
                The Journal of Biological Chemistry
                American Society for Biochemistry and Molecular Biology
                0021-9258
                1083-351X
                20 February 2021
                2021
                20 February 2021
                : 296
                : 100443
                Affiliations
                [1 ]Medicinal Science and Technology, GlaxoSmithKline, Stevenage, Hertfordshire, UK
                [2 ]Protein Chemistry Laboratory, National Centre for Scientific Research “Demokritos”, Athens, Greece
                [3 ]Department of Ophthalmology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
                [4 ]Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
                [5 ]Human Genetics, GlaxoSmithKline, Stevenage, Hertfordshire, UK
                [6 ]Adaptive Immunity Research Unit, GlaxoSmithKline, Stevenage, Hertfordshire, UK
                [7 ]Laboratory of Biochemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, Athens, Greece
                Author notes
                []For correspondence: Efstratios Stratikos stratos@ 123456rrp.demokritos.gr estratikos@ 123456chem.uoa.gr
                [‡]

                These authors contributed equally to the manuscript.

                Article
                S0021-9258(21)00216-7 100443
                10.1016/j.jbc.2021.100443
                8024916
                33617882
                0aeeb1c2-a2e6-47bd-96be-e59ec61f94ca
                © 2021 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 1 December 2020
                : 11 February 2021
                Categories
                Research Article

                Biochemistry
                aminopeptidase,peptide,enzyme kinetics,allotypes,single nucleotide polymorphisms,adaptive immunity,autoimmunity,antigen processing and presentation,inflammatory disease,inhibitors,as, ankylosing spondylitis,er, endoplasmic reticulum,erap, endoplasmic reticulum aminopeptidase,hlas, human leukocyte antigens,leu-amc, l-leucine-7-amido-4-methylcoumarin,leu-pna, l-leucine-para-nitroanilide,mhc, major histocompatibility complex,mhci, mhc class i molecules,mm, michaelis–menten

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