Literature DB >> 8145825

Co-evolution of ligand-receptor pairs.

W R Moyle1, R K Campbell, R V Myers, M P Bernard, Y Han, X Wang.   

Abstract

Specific receptors for lutropin (luteinizing hormone; LH) and follitropin (follicle-stimulating hormone; FSH) mediate the actions of human chorionic gonadotropin (hCG) and FSH5 on the gonads. Here we report that short independent sequences of the beta-subunit enable hCG to distinguish between the receptors for FSH and LH. Residues between the 11th and 12th cysteines restrict FSH receptor binding; residues between the 10th and 11th cysteines and, to a much lesser extent, residues carboxy-terminal to the 12th cysteine also affect LH receptor binding. CF101-109, an hCG analogue containing hFSH beta residues between the 11th and 12th cysteines, had high affinity for both LH and FSH receptors. Modifications to CF101-109 that reduce binding to either LH or FSH receptors yield gonadotropin analogues having differing ratios of LH:FSH activity. Ligand-binding specificity of the LH receptor is determined by residues encoded by parts of exons 2-4 and 7-9 which prevent hFSH binding but have little effect on hCG binding. FSH receptor specificity is controlled primarily by residues encoded by exons 5 and 6 that prevent hCG binding but have little effect on hFSH binding. These determinants can be interchanged to create receptor analogues that bind hCG and hFSH. Our observations support a model in which distinct negative determinants restrict ligand-receptor interaction. This explains coevolution of binding specificity in families of homologous ligands and their receptors. Natural or designed manipulation of these determinants leads to the 'evolution' of new, specific protein-protein interactions.

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Year:  1994        PMID: 8145825     DOI: 10.1038/368251a0

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  64 in total

1.  Specificity determinants and diversification of the Brassica self-incompatibility pollen ligand.

Authors:  Thanat Chookajorn; Aardra Kachroo; Daniel R Ripoll; Andrew G Clark; June B Nasrallah
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-23       Impact factor: 11.205

2.  ADVICE: Automated Detection and Validation of Interaction by Co-Evolution.

Authors:  Soon-Heng Tan; Zhuo Zhang; See-Kiong Ng
Journal:  Nucleic Acids Res       Date:  2004-07-01       Impact factor: 16.971

3.  Coevolution of gene expression among interacting proteins.

Authors:  Hunter B Fraser; Aaron E Hirsh; Dennis P Wall; Michael B Eisen
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-02       Impact factor: 11.205

4.  Evolutionary rate covariation reveals shared functionality and coexpression of genes.

Authors:  Nathan L Clark; Eric Alani; Charles F Aquadro
Journal:  Genome Res       Date:  2012-01-27       Impact factor: 9.043

Review 5.  Animal-microbe interactions and the evolution of nervous systems.

Authors:  Heather L Eisthen; Kevin R Theis
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-01-05       Impact factor: 6.237

6.  Structure of human follicle-stimulating hormone in complex with its receptor.

Authors:  Qing R Fan; Wayne A Hendrickson
Journal:  Nature       Date:  2005-01-20       Impact factor: 49.962

Review 7.  Co-evolution analysis on endocrine research: a methodological approach.

Authors:  Tonghai Dou; Shuai Chen; Chaoneng Ji; Yi Xie; Yumin Mao
Journal:  Endocrine       Date:  2005-11       Impact factor: 3.633

Review 8.  Molecular pharmacology of gonadotropins.

Authors:  Robert K Campbell
Journal:  Endocrine       Date:  2005-04       Impact factor: 3.633

Review 9.  Models of glycoprotein hormone receptor interaction.

Authors:  William R Moyle; Win Lin; Rebecca V Myers; Donghui Cao; John E Kerrigan; Michael P Bernard
Journal:  Endocrine       Date:  2005-04       Impact factor: 3.633

Review 10.  Structural biology of glycoprotein hormones and their receptors.

Authors:  Qing R Fan; Wayne A Hendrickson
Journal:  Endocrine       Date:  2005-04       Impact factor: 3.633

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