Literature DB >> 31647247

Top-Down Proteomics Reveals Myofilament Proteoform Heterogeneity among Various Rat Skeletal Muscle Tissues.

Jake A Melby, Yutong Jin, Ziqing Lin, Trisha Tucholski, Zhijie Wu, Zachery R Gregorich, Gary M Diffee, Ying Ge.   

Abstract

Heterogeneity in skeletal muscle contraction time, peak power output, and resistance to fatigue, among others, is necessary to accommodate the wide range of functional demands imposed on the body. Underlying this functional heterogeneity are a myriad of differences in the myofilament protein isoform expression and post-translational modifications; yet, characterizing this heterogeneity remains challenging. Herein, we have utilized top-down liquid chromatography (LC)-mass spectrometry (MS)-based proteomics to characterize myofilament proteoform heterogeneity in seven rat skeletal muscle tissues including vastus lateralis, vastus medialis, vastus intermedius, rectus femoris, soleus, gastrocnemius, and plantaris. Top-down proteomics revealed that myofilament proteoforms varied greatly across the seven different rat skeletal muscle tissues. Subsequently, we quantified and characterized myofilament proteoforms using online LC-MS. We have comprehensively characterized the fast and slow skeletal troponin I isoforms, which demonstrates the ability of top-down MS to decipher isoforms with high sequence homology. Taken together, we have shown that top-down proteomics can be used as a robust and high-throughput method to characterize the molecular heterogeneity of myofilament proteoforms from various skeletal muscle tissues.

Entities:  

Keywords:  heterogeneity; myofilament proteins; skeletal muscle; top-down mass spectrometry

Mesh:

Substances:

Year:  2019        PMID: 31647247      PMCID: PMC7487979          DOI: 10.1021/acs.jproteome.9b00623

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  51 in total

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Review 2.  Top-down proteomics in health and disease: challenges and opportunities.

Authors:  Zachery R Gregorich; Ying Ge
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3.  S-nitrosylation and S-glutathionylation of Cys134 on troponin I have opposing competitive actions on Ca2+ sensitivity in rat fast-twitch muscle fibers.

Authors:  T L Dutka; J P Mollica; C R Lamboley; V C Weerakkody; D W Greening; G S Posterino; R M Murphy; G D Lamb
Journal:  Am J Physiol Cell Physiol       Date:  2016-12-14       Impact factor: 4.249

4.  Primary structure and developmental acidic to basic transition of 13 alternatively spliced mouse fast skeletal muscle troponin T isoforms.

Authors:  J Wang; J P Jin
Journal:  Gene       Date:  1997-07-01       Impact factor: 3.688

5.  Exchange of beta- for alpha-tropomyosin in hearts of transgenic mice induces changes in thin filament response to Ca2+, strong cross-bridge binding, and protein phosphorylation.

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Journal:  J Biol Chem       Date:  1996-05-17       Impact factor: 5.157

Review 6.  Top-down Proteomics: Technology Advancements and Applications to Heart Diseases.

Authors:  Wenxuan Cai; Trisha M Tucholski; Zachery R Gregorich; Ying Ge
Journal:  Expert Rev Proteomics       Date:  2016-07-26       Impact factor: 3.940

Review 7.  Muscle type and fiber type specificity in muscle wasting.

Authors:  Stefano Ciciliot; Alberto C Rossi; Kenneth A Dyar; Bert Blaauw; Stefano Schiaffino
Journal:  Int J Biochem Cell Biol       Date:  2013-05-21       Impact factor: 5.085

8.  Comprehensive analysis of tropomyosin isoforms in skeletal muscles by top-down proteomics.

Authors:  Yutong Jin; Ying Peng; Ziqing Lin; Yi-Chen Chen; Liming Wei; Timothy A Hacker; Lars Larsson; Ying Ge
Journal:  J Muscle Res Cell Motil       Date:  2016-04-18       Impact factor: 2.698

9.  Top-down Mass Spectrometry of Sarcomeric Protein Post-translational Modifications from Non-human Primate Skeletal Muscle.

Authors:  Yutong Jin; Gary M Diffee; Ricki J Colman; Rozalyn M Anderson; Ying Ge
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Authors:  Ruedi Aebersold; Jeffrey N Agar; I Jonathan Amster; Mark S Baker; Carolyn R Bertozzi; Emily S Boja; Catherine E Costello; Benjamin F Cravatt; Catherine Fenselau; Benjamin A Garcia; Ying Ge; Jeremy Gunawardena; Ronald C Hendrickson; Paul J Hergenrother; Christian G Huber; Alexander R Ivanov; Ole N Jensen; Michael C Jewett; Neil L Kelleher; Laura L Kiessling; Nevan J Krogan; Martin R Larsen; Joseph A Loo; Rachel R Ogorzalek Loo; Emma Lundberg; Michael J MacCoss; Parag Mallick; Vamsi K Mootha; Milan Mrksich; Tom W Muir; Steven M Patrie; James J Pesavento; Sharon J Pitteri; Henry Rodriguez; Alan Saghatelian; Wendy Sandoval; Hartmut Schlüter; Salvatore Sechi; Sarah A Slavoff; Lloyd M Smith; Michael P Snyder; Paul M Thomas; Mathias Uhlén; Jennifer E Van Eyk; Marc Vidal; David R Walt; Forest M White; Evan R Williams; Therese Wohlschlager; Vicki H Wysocki; Nathan A Yates; Nicolas L Young; Bing Zhang
Journal:  Nat Chem Biol       Date:  2018-02-14       Impact factor: 15.040

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  3 in total

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Journal:  Expert Rev Proteomics       Date:  2020-12-17       Impact factor: 3.940

2.  Functionally Integrated Top-Down Proteomics for Standardized Assessment of Human Induced Pluripotent Stem Cell-Derived Engineered Cardiac Tissues.

Authors:  Jake A Melby; Willem J de Lange; Jianhua Zhang; David S Roberts; Stanford D Mitchell; Trisha Tucholski; Gina Kim; Andreas Kyrvasilis; Sean J McIlwain; Timothy J Kamp; J Carter Ralphe; Ying Ge
Journal:  J Proteome Res       Date:  2021-01-04       Impact factor: 4.466

3.  Protein profile of fiber types in human skeletal muscle: a single-fiber proteomics study.

Authors:  Marta Murgia; Leonardo Nogara; Martina Baraldo; Carlo Reggiani; Matthias Mann; Stefano Schiaffino
Journal:  Skelet Muscle       Date:  2021-11-02       Impact factor: 4.912

  3 in total

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