Literature DB >> 32661320

Mapping signalling perturbations in myocardial fibrosis via the integrative phosphoproteomic profiling of tissue from diverse sources.

Uros Kuzmanov1,2, Erika Yan Wang3, Rachel Vanderlaan4, Da Hye Kim1,2, Shin-Haw Lee1,2, Sina Hadipour-Lakmehsari1,2, Hongbo Guo5, Yimu Zhao3, Meghan McFadden1, Parveen Sharma6, Filio Billia7,8, Milica Radisic9,10, Anthony Gramolini11,12,13, Andrew Emili14,15,16.   

Abstract

Study of the molecular basis of myocardial fibrosis is hampered by limited access to tissues from human patients and by confounding variables associated with sample accessibility, collection, processing and storage. Here, we report an integrative strategy based on mass spectrometry for the phosphoproteomic profiling of normal and fibrotic cardiac tissue obtained from surgical explants from patients with hypertrophic cardiomyopathy, from a transaortic-constriction mouse model of cardiac hypertrophy and fibrosis, and from a heart-on-a-chip model of cardiac fibrosis. We used the integrative approach to map the relative abundance of thousands of proteins, phosphoproteins and phosphorylation sites specific to each tissue source, to identify key signalling pathways driving fibrosis and to screen for anti-fibrotic compounds targeting glycogen synthase kinase 3, which has a consistent role as a key mediator of fibrosis in all three types of tissue specimen. The integrative disease-modelling strategy may reveal new insights into mechanisms of cardiac disease and serve as a test bed for drug screening.

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Year:  2020        PMID: 32661320     DOI: 10.1038/s41551-020-0585-y

Source DB:  PubMed          Journal:  Nat Biomed Eng        ISSN: 2157-846X            Impact factor:   25.671


  41 in total

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Journal:  J Am Coll Cardiol       Date:  2000-01       Impact factor: 24.094

2.  Sarcomere protein gene mutations in hypertrophic cardiomyopathy of the elderly.

Authors:  Hideshi Niimura; Kristen K Patton; William J McKenna; Johann Soults; Barry J Maron; J G Seidman; Christine E Seidman
Journal:  Circulation       Date:  2002-01-29       Impact factor: 29.690

3.  Heart disease and stroke statistics--2015 update: a report from the American Heart Association.

Authors:  Dariush Mozaffarian; Emelia J Benjamin; Alan S Go; Donna K Arnett; Michael J Blaha; Mary Cushman; Sarah de Ferranti; Jean-Pierre Després; Heather J Fullerton; Virginia J Howard; Mark D Huffman; Suzanne E Judd; Brett M Kissela; Daniel T Lackland; Judith H Lichtman; Lynda D Lisabeth; Simin Liu; Rachel H Mackey; David B Matchar; Darren K McGuire; Emile R Mohler; Claudia S Moy; Paul Muntner; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Graham Nichol; Latha Palaniappan; Dilip K Pandey; Mathew J Reeves; Carlos J Rodriguez; Paul D Sorlie; Joel Stein; Amytis Towfighi; Tanya N Turan; Salim S Virani; Joshua Z Willey; Daniel Woo; Robert W Yeh; Melanie B Turner
Journal:  Circulation       Date:  2014-12-17       Impact factor: 29.690

Review 4.  Cardiomyopathies: An Overview.

Authors:  Eugene Braunwald
Journal:  Circ Res       Date:  2017-09-15       Impact factor: 17.367

5.  Myocardial fibrosis as an early manifestation of hypertrophic cardiomyopathy.

Authors:  Carolyn Y Ho; Begoña López; Otavio R Coelho-Filho; Neal K Lakdawala; Allison L Cirino; Petr Jarolim; Raymond Kwong; Arantxa González; Steven D Colan; J G Seidman; Javier Díez; Christine E Seidman
Journal:  N Engl J Med       Date:  2010-08-05       Impact factor: 91.245

Review 6.  Cardiac Fibrosis: The Fibroblast Awakens.

Authors:  Joshua G Travers; Fadia A Kamal; Jeffrey Robbins; Katherine E Yutzey; Burns C Blaxall
Journal:  Circ Res       Date:  2016-03-18       Impact factor: 17.367

Review 7.  Signaling effectors underlying pathologic growth and remodeling of the heart.

Authors:  Jop H van Berlo; Marjorie Maillet; Jeffery D Molkentin
Journal:  J Clin Invest       Date:  2013-01-02       Impact factor: 14.808

8.  A Platform for Generation of Chamber-Specific Cardiac Tissues and Disease Modeling.

Authors:  Yimu Zhao; Naimeh Rafatian; Nicole T Feric; Brian J Cox; Roozbeh Aschar-Sobbi; Erika Yan Wang; Praful Aggarwal; Boyang Zhang; Genevieve Conant; Kacey Ronaldson-Bouchard; Aric Pahnke; Stephanie Protze; Jee Hoon Lee; Locke Davenport Huyer; Danica Jekic; Anastasia Wickeler; Hani E Naguib; Gordon M Keller; Gordana Vunjak-Novakovic; Ulrich Broeckel; Peter H Backx; Milica Radisic
Journal:  Cell       Date:  2019-01-24       Impact factor: 41.582

9.  Polony multiplex analysis of gene expression (PMAGE) in mouse hypertrophic cardiomyopathy.

Authors:  Jae Bum Kim; Gregory J Porreca; Lei Song; Steven C Greenway; Joshua M Gorham; George M Church; Christine E Seidman; J G Seidman
Journal:  Science       Date:  2007-06-08       Impact factor: 47.728

10.  Biowire: a platform for maturation of human pluripotent stem cell-derived cardiomyocytes.

Authors:  Sara S Nunes; Jason W Miklas; Jie Liu; Roozbeh Aschar-Sobbi; Yun Xiao; Boyang Zhang; Jiahua Jiang; Stéphane Massé; Mark Gagliardi; Anne Hsieh; Nimalan Thavandiran; Michael A Laflamme; Kumaraswamy Nanthakumar; Gil J Gross; Peter H Backx; Gordon Keller; Milica Radisic
Journal:  Nat Methods       Date:  2013-06-23       Impact factor: 28.547

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  3 in total

1.  Beta-blocker/ACE inhibitor therapy differentially impacts the steady state signaling landscape of failing and non-failing hearts.

Authors:  Andrea Sorrentino; Navratan Bagwan; Nora Linscheid; Pi C Poulsen; Konstantin Kahnert; Morten B Thomsen; Mario Delmar; Alicia Lundby
Journal:  Sci Rep       Date:  2022-03-19       Impact factor: 4.379

Review 2.  Multicellular 3D Models for the Study of Cardiac Fibrosis.

Authors:  Vittorio Picchio; Erica Floris; Yuriy Derevyanchuk; Claudia Cozzolino; Elisa Messina; Francesca Pagano; Isotta Chimenti; Roberto Gaetani
Journal:  Int J Mol Sci       Date:  2022-10-01       Impact factor: 6.208

Review 3.  Mass-Spectrometry-Based Functional Proteomic and Phosphoproteomic Technologies and Their Application for Analyzing Ex Vivo and In Vitro Models of Hypertrophic Cardiomyopathy.

Authors:  Jarrod Moore; Andrew Emili
Journal:  Int J Mol Sci       Date:  2021-12-20       Impact factor: 5.923

  3 in total

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