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      A Natural Mutation in Helix 5 of the Ligand Binding Domain of Glucocorticoid Receptor Enhances Receptor-Ligand Interaction

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          Abstract

          The glucocorticoid receptor (GR) is a central player in the neuroendocrine stress response; it mediates feedback regulation of the hypothalamus-pituitary-adrenal (HPA) axis and physiological actions of glucocorticoids in the periphery. Despite intensive investigations of GR in the context of receptor-ligand interaction, only recently the first naturally occurring gain-of-function substitution, Ala610Val, of the ligand binding domain was identified in mammals. We showed that this mutation underlies a major quantitative trait locus for HPA axis activity in pigs, reducing cortisol production by about 40–50 percent. To unravel the molecular mechanisms behind this gain of function, receptor-ligand interactions were evaluated in silico, in vitro and in vivo. In accordance with previously observed phenotypic effects, the mutant Val610 GR showed significantly increased activation in response to glucocorticoid and non-glucocorticoid steroids, and, as revealed by GR-binding studies in vitro and in pituitary glands, enhanced ligand binding. Concordantly, the protein structure prediction depicted reduced binding distances between the receptor and ligand, and altered interactions in the ligand binding pocket. Consequently, the Ala610Val substitution opens up new structural information for the design of potent GR ligands and to examine effects of the enhanced GR responsiveness to glucocorticoids on the entire organism.

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          Most cited references28

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          Missense meanderings in sequence space: a biophysical view of protein evolution.

          Proteins are finicky molecules; they are barely stable and are prone to aggregate, but they must function in a crowded environment that is full of degradative enzymes bent on their destruction. It is no surprise that many common diseases are due to missense mutations that affect protein stability and aggregation. Here we review the literature on biophysics as it relates to molecular evolution, focusing on how protein stability and aggregation affect organismal fitness. We then advance a biophysical model of protein evolution that helps us to understand phenomena that range from the dynamics of molecular adaptation to the clock-like rate of protein evolution.
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            An epistatic ratchet constrains the direction of glucocorticoid receptor evolution

            The extent to which evolution is reversible has long fascinated biologists. 1–8 Most prior work on the reversibility of morphological and life-history evolution 9–13 has been indecisive, because of uncertainty and bias in the methods used to infer ancestral states for such characters. 14,15 Further, despite theoretical work on the factors that could contribute to irreversibility, 1,8,16 there is scant empirical evidence on its causes, because sufficient understanding of the mechanistic basis for the evolution of new or ancestral phenotypes is seldom available. 3,8,17 By studying the reversibility of evolutionary changes in protein structure and function, these limitations can be overcome. Here we show, using the evolution of hormone specificity in vertebrate glucocorticoid receptors (GRs) as a case-study, that the evolutionary path by which GR acquired its new function soon became inaccessible to reverse exploration. Using ancestral gene reconstruction, protein engineering, and X-ray crystallography, we demonstrate that five subsequent “restrictive” mutations, which optimized GR’s new specificity, also destabilized elements of the protein’s structure that were required to support the ancestral conformation. Unless these ratchet-like epistatic substitutions are restored to their ancestral states, reversing the key function-switching mutations yields a non-functional protein. Reversing the restrictive substitutions first, however, does nothing to enhance the ancestral function. Our findings indicate that even if selection for the ancestral function were imposed, direct reversal would be extremely unlikely, suggesting an important role for historical contingency in protein evolution.
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              Establishment of detailed reference values for luteinizing hormone, follicle stimulating hormone, estradiol, and progesterone during different phases of the menstrual cycle on the Abbott ARCHITECT analyzer.

              During a normal menstrual cycle, serum levels of luteinizing hormone (LH), follicle-stimulating hormone (FSH), estradiol, and progesterone can vary widely between cycles for the same woman, as well as between different woman. Reliable reference values based on the local population are important for correct interpretation of laboratory results. The purpose of our study was to determine detailed reference values for these hormones throughout the menstrual cycle using the Abbott ARCHITECT system. From 20 volunteers (age 20-36 years) with normal cycles and no use of oral contraceptives, samples were taken every day during their cycle. Volunteers received three vaginal ultrasound examinations (days 10 and 13, and 1 or 2 days after ovulation) to measure follicular and corpus luteum development. Hormone levels were measured using the corresponding ARCHITECT assay and were synchronized to the LH peak. Median, and 5th and 95th percentile values were determined for each day of the cycle, as well as for early follicular (days -15 to -6), late follicular (days -5 to -1), LH peak (day 0), early luteal (+1 to +4), mid-luteal (days +5 to +9), and late luteal (days +10 to +14) phases of the cycle. Based on our data, we were able to establish detailed reference values for LH, FSH, estradiol, and progesterone, which should aid in the interpretation of results for these reproductive hormones in a variety of circumstances.

                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
                13 October 2016
                2016
                : 11
                : 10
                : e0164628
                Affiliations
                [1 ]Institute for Genome Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
                [2 ]Institute of Behavioural Physiology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
                [3 ]Institute of Reproductive Biology, Leibniz Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
                Universidad de la Laguna, SPAIN
                Author notes

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

                • Conceptualization: EM KW SP.

                • Data curation: HR.

                • Formal analysis: HR EM RP EK.

                • Funding acquisition: KW SP EM.

                • Investigation: HR RP EK.

                • Methodology: HR EM RP EK.

                • Project administration: EM.

                • Resources: HR EM RP EK KW.

                • Supervision: EM KW.

                • Validation: HR EM.

                • Visualization: HR EM.

                • Writing – original draft: HR EM.

                • Writing – review & editing: HR EM.

                Article
                PONE-D-16-09341
                10.1371/journal.pone.0164628
                5063400
                27736993
                d49e1b6a-b611-4b79-9ac9-6ca683481622
                © 2016 Reyer 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
                : 4 March 2016
                : 28 September 2016
                Page count
                Figures: 4, Tables: 1, Pages: 15
                Funding
                This work was partly funded by the Federal Ministry of Education and Research (BMBF; www.bmbf.de) as part of the PHENOMICS project (supportcode: 0315536F; www.phaenomics.auf.uni-rostock.de). The Leibniz Institute for Farm Animal Biology (FBN) provided own matched funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Physical Sciences
                Chemistry
                Chemical Compounds
                Organic Compounds
                Steroids
                Physical Sciences
                Chemistry
                Organic Chemistry
                Organic Compounds
                Steroids
                Biology and Life Sciences
                Genetics
                Mutation
                Substitution Mutation
                Biology and Life Sciences
                Biochemistry
                Hormones
                Lipid Hormones
                Hydrocortisone
                Biology and Life Sciences
                Biochemistry
                Hormones
                Steroid Hormones
                Hydrocortisone
                Biology and Life Sciences
                Genetics
                Gene Expression
                Transactivation
                Research and Analysis Methods
                Chemical Characterization
                Binding Analysis
                Receptor-Ligand Binding Assay
                Biology and Life Sciences
                Biochemistry
                Hormones
                Lipid Hormones
                Progesterone
                Research and Analysis Methods
                Chemical Characterization
                Binding Analysis
                Biology and Life Sciences
                Cell Biology
                Cell Physiology
                Receptor Physiology
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

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