Literature DB >> 18555187

Bioinformatics assessment of beta-myosin mutations reveals myosin's high sensitivity to mutations.

Massimo Buvoli1, Micah Hamady, Leslie A Leinwand, Rob Knight.   

Abstract

More than 200 mutations in the beta-myosin gene (MYH7) that cause clinically distinct cardiac and/or skeletal myopathies have been reported, but to date, no comprehensive statistical analysis of these mutations has been performed. As a part of this review, we developed a new interactive database and research tool called MyoMAPR (Myopathic Mutation Analysis Profiler and Repository). We report that the distribution of mutations along the beta-myosin gene is not homogeneous, and that myosin is a highly constrained molecule with an uncommon sensitivity to amino acid substitutions. Increasing knowledge of the characteristics of MH7 mutations may provide a valuable resource for scientists and clinicians studying diagnosis, risk stratification, and treatment of disease associated with these mutations.

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Year:  2008        PMID: 18555187      PMCID: PMC2587080          DOI: 10.1016/j.tcm.2008.04.001

Source DB:  PubMed          Journal:  Trends Cardiovasc Med        ISSN: 1050-1738            Impact factor:   6.677


  38 in total

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Authors:  X Liu; S Shu; R A Yamashita; Y Xu; E D Korn
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-07       Impact factor: 11.205

2.  Model of effectively neutral mutations in which selective constraint is incorporated.

Authors:  M Kimura
Journal:  Proc Natl Acad Sci U S A       Date:  1979-07       Impact factor: 11.205

3.  Coiled-coil nanomechanics and uncoiling and unfolding of the superhelix and alpha-helices of myosin.

Authors:  Douglas D Root; Vamsi K Yadavalli; Jeffrey G Forbes; Kuan Wang
Journal:  Biophys J       Date:  2006-01-26       Impact factor: 4.033

4.  Homozygous mutation in MYH7 in myosin storage myopathy and cardiomyopathy.

Authors:  Homa Tajsharghi; Anders Oldfors; Dominic P Macleod; Michael Swash
Journal:  Neurology       Date:  2007-03-20       Impact factor: 9.910

5.  Novel slow-skeletal myosin (MYH7) mutation in the original myosin storage myopathy kindred.

Authors:  Danielle E Dye; Biagio Azzarelli; Hans H Goebel; Nigel G Laing
Journal:  Neuromuscul Disord       Date:  2006-05-08       Impact factor: 4.296

6.  Volume changes in protein evolution.

Authors:  M Gerstein; E L Sonnhammer; C Chothia
Journal:  J Mol Biol       Date:  1994-03-04       Impact factor: 5.469

Review 7.  Hereditary myosin myopathies.

Authors:  Anders Oldfors
Journal:  Neuromuscul Disord       Date:  2007-04-16       Impact factor: 4.296

8.  One third of Danish hypertrophic cardiomyopathy patients with MYH7 mutations have mutations [corrected] in MYH7 rod region.

Authors:  Lotte Hougs; Ole Havndrup; Henning Bundgaard; Lars Køber; Jens Vuust; Lars Allan Larsen; Michael Christiansen; Paal Skytt Andersen
Journal:  Eur J Hum Genet       Date:  2005-02       Impact factor: 4.246

Review 9.  Genetics of hypertrophic cardiomyopathy: one, two, or more diseases?

Authors:  J Martijn Bos; Steve R Ommen; Michael J Ackerman
Journal:  Curr Opin Cardiol       Date:  2007-05       Impact factor: 2.161

10.  Crystal structures of human cardiac beta-myosin II S2-Delta provide insight into the functional role of the S2 subfragment.

Authors:  Wulf Blankenfeldt; Nicolas H Thomä; John S Wray; Mathias Gautel; Ilme Schlichting
Journal:  Proc Natl Acad Sci U S A       Date:  2006-11-09       Impact factor: 11.205

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  28 in total

1.  Myosin filament assembly requires a cluster of four positive residues located in the rod domain.

Authors:  Robert C Thompson; Massimo Buvoli; Ada Buvoli; Leslie A Leinwand
Journal:  FEBS Lett       Date:  2012-06-21       Impact factor: 4.124

Review 2.  Understanding cardiomyopathy phenotypes based on the functional impact of mutations in the myosin motor.

Authors:  Jeffrey R Moore; Leslie Leinwand; David M Warshaw
Journal:  Circ Res       Date:  2012-07-20       Impact factor: 17.367

3.  Multidimensional structure-function relationships in human β-cardiac myosin from population-scale genetic variation.

Authors:  Julian R Homburger; Eric M Green; Colleen Caleshu; Margaret S Sunitha; Rebecca E Taylor; Kathleen M Ruppel; Raghu Prasad Rao Metpally; Steven D Colan; Michelle Michels; Sharlene M Day; Iacopo Olivotto; Carlos D Bustamante; Frederick E Dewey; Carolyn Y Ho; James A Spudich; Euan A Ashley
Journal:  Proc Natl Acad Sci U S A       Date:  2016-05-31       Impact factor: 11.205

4.  The myosin mesa and the basis of hypercontractility caused by hypertrophic cardiomyopathy mutations.

Authors:  Suman Nag; Darshan V Trivedi; Saswata S Sarkar; Arjun S Adhikari; Margaret S Sunitha; Shirley Sutton; Kathleen M Ruppel; James A Spudich
Journal:  Nat Struct Mol Biol       Date:  2017-05-08       Impact factor: 15.369

Review 5.  Clinical considerations of heritable factors in common heart failure.

Authors:  Thomas P Cappola; Gerald W Dorn
Journal:  Circ Cardiovasc Genet       Date:  2011-12

6.  Skeletal muscle contractile gene (TNNT3, MYH3, TPM2) mutations not found in vertical talus or clubfoot.

Authors:  Christina A Gurnett; Farhang Alaee; David Desruisseau; Stephanie Boehm; Matthew B Dobbs
Journal:  Clin Orthop Relat Res       Date:  2009-01-14       Impact factor: 4.176

7.  A composite approach towards a complete model of the myosin rod.

Authors:  E Nihal Korkmaz; Keenan C Taylor; Michael P Andreas; Guatam Ajay; Nathan T Heinze; Qiang Cui; Ivan Rayment
Journal:  Proteins       Date:  2015-12-09

Review 8.  Emerging pharmacologic and structural therapies for hypertrophic cardiomyopathy.

Authors:  Daniel J Philipson; Eugene C DePasquale; Eric H Yang; Arnold S Baas
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

9.  Mutations at the same amino acid in myosin that cause either skeletal or cardiac myopathy have distinct molecular phenotypes.

Authors:  Thomas Z Armel; Leslie A Leinwand
Journal:  J Mol Cell Cardiol       Date:  2009-10-23       Impact factor: 5.000

10.  Detecting coevolution without phylogenetic trees? Tree-ignorant metrics of coevolution perform as well as tree-aware metrics.

Authors:  J Gregory Caporaso; Sandra Smit; Brett C Easton; Lawrence Hunter; Gavin A Huttley; Rob Knight
Journal:  BMC Evol Biol       Date:  2008-12-03       Impact factor: 3.260

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