Literature DB >> 24001182

Comparative proteomic analysis of the aging soleus and extensor digitorum longus rat muscles using TMT labeling and mass spectrometry.

Daniela F S Chaves1, Paulo C Carvalho, Diogo B Lima, Humberto Nicastro, Fábio M Lorenzeti, Mário Siqueira-Filho, Sandro M Hirabara, Paulo H M Alves, James J Moresco, John R Yates, Antonio H Lancha.   

Abstract

Sarcopenia describes an age-related decline in skeletal muscle mass, strength, and function that ultimately impairs metabolism and leads to poor balance, frequent falling, limited mobility, and a reduction in quality of life. Here we investigate the pathogenesis of sarcopenia through a proteomic shotgun approach. In brief, we employed tandem mass tags to quantitate and compare the protein profiles obtained from young versus old rat slow-twitch type of muscle (soleus) and a fast-twitch type of muscle (extensor digitorum longus, EDL). Our results disclose 3452 and 1848 proteins identified from soleus and EDL muscles samples, of which 78 and 174 were found to be differentially expressed, respectively. In general, most of the proteins were structural related and involved in energy metabolism, oxidative stress, detoxification, or transport. Aging affected soleus and EDL muscles differently, and several proteins were regulated in opposite ways. For example, pyruvate kinase had its expression and activity different in both soleus and EDL muscles. We were able to verify with existing literature many of our differentially expressed proteins as candidate aging biomarkers and, most importantly, disclose several new candidate biomarkers such as the glioblastoma amplified sequence, zero β-globin, and prolargin.

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Year:  2013        PMID: 24001182      PMCID: PMC3845496          DOI: 10.1021/pr400644x

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


  87 in total

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Authors:  Jaroslaw Kanski; Michail A Alterman; Christian Schöneich
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10.  PatternLab for proteomics: a tool for differential shotgun proteomics.

Authors:  Paulo C Carvalho; Juliana S G Fischer; Emily I Chen; John R Yates; Valmir C Barbosa
Journal:  BMC Bioinformatics       Date:  2008-07-21       Impact factor: 3.169

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  11 in total

Review 1.  A mini review: Proteomics approaches to understand disused vs. exercised human skeletal muscle.

Authors:  Yoshitake Cho; Robert S Ross
Journal:  Physiol Genomics       Date:  2018-06-29       Impact factor: 3.107

2.  Metabolomic Analysis of Oxidative and Glycolytic Skeletal Muscles by Matrix-Assisted Laser Desorption/IonizationMass Spectrometric Imaging (MALDI MSI).

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4.  Protein composition of the muscle mitochondrial reticulum during postnatal development.

Authors:  Yuho Kim; Daniel S Yang; Prasanna Katti; Brian Glancy
Journal:  J Physiol       Date:  2019-04-08       Impact factor: 5.182

5.  Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0.

Authors:  Paulo C Carvalho; Diogo B Lima; Felipe V Leprevost; Marlon D M Santos; Juliana S G Fischer; Priscila F Aquino; James J Moresco; John R Yates; Valmir C Barbosa
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Review 6.  Comparative Skeletal Muscle Proteomics Using Two-Dimensional Gel Electrophoresis.

Authors:  Sandra Murphy; Paul Dowling; Kay Ohlendieck
Journal:  Proteomes       Date:  2016-09-09

7.  Biochemical isolation of myonuclei employed to define changes to the myonuclear proteome that occur with aging.

Authors:  Alicia A Cutler; Eric B Dammer; Duc M Doung; Nicholas T Seyfried; Anita H Corbett; Grace K Pavlath
Journal:  Aging Cell       Date:  2017-05-23       Impact factor: 9.304

8.  Redox responses are preserved across muscle fibres with differential susceptibility to aging.

Authors:  Neil T Smith; Ana Soriano-Arroquia; Katarzyna Goljanek-Whysall; Malcolm J Jackson; Brian McDonagh
Journal:  J Proteomics       Date:  2018-02-10       Impact factor: 4.044

9.  Comprehensive map of age-associated splicing changes across human tissues and their contributions to age-associated diseases.

Authors:  Kun Wang; Di Wu; Haoyue Zhang; Avinash Das; Mahashweta Basu; Justin Malin; Kan Cao; Sridhar Hannenhalli
Journal:  Sci Rep       Date:  2018-07-19       Impact factor: 4.379

10.  Comparative proteomic profiling reveals a role for Cisd2 in skeletal muscle aging.

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Journal:  Aging Cell       Date:  2017-11-23       Impact factor: 9.304

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