Literature DB >> 25065561

Label-free profiling of skeletal muscle using high-definition mass spectrometry.

Jatin G Burniston1, Joanne Connolly, Heikki Kainulainen, Steven L Britton, Lauren G Koch.   

Abstract

We report automated and time-efficient (2 h per sample) profiling of muscle using ultra-performance LC coupled directly with high-definition MS (HDMS(E)). Soluble proteins extracted from rat gastrocnemius (n = 10) were digested with trypsin and analyzed in duplicate using a 90 min RPLC gradient. Protein identification and label-free quantitation were performed from HDMS(E) spectra analyzed using Progenesis QI for Proteomics software. In total 1514 proteins were identified. Of these, 811 had at least three unique peptides and were subsequently used to assess the dynamic range and precision of LC-HDMS(E) label-free profiling. Proteins analyzed by LC-HDMS(E) encompass the entire complement of glycolytic, β-oxidation, and tricarboxylic acid enzymes. In addition, numerous components of the electron transport chain and protein kinases involved in skeletal muscle regulation were detected. The dynamic range of protein abundances spanned four orders of magnitude. The correlation between technical replicates of the ten biological samples was R(2) = 0.9961 ± 0.0036 (95% CI = 0.9940 - 0.9992) and the technical CV averaged 7.3 ± 6.7% (95% CI = 6.87 - 7.79%). This represents the most sophisticated label-free profiling of skeletal muscle to date.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Animal proteomics; Data-independent acquisition; Ion mobility; LC-MS

Mesh:

Substances:

Year:  2014        PMID: 25065561      PMCID: PMC4237019          DOI: 10.1002/pmic.201400118

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  12 in total

1.  Absolute quantification of proteins by LCMSE: a virtue of parallel MS acquisition.

Authors:  Jeffrey C Silva; Marc V Gorenstein; Guo-Zhong Li; Johannes P C Vissers; Scott J Geromanos
Journal:  Mol Cell Proteomics       Date:  2005-10-11       Impact factor: 5.911

2.  Database searching and accounting of multiplexed precursor and product ion spectra from the data independent analysis of simple and complex peptide mixtures.

Authors:  Guo-Zhong Li; Johannes P C Vissers; Jeffrey C Silva; Dan Golick; Marc V Gorenstein; Scott J Geromanos
Journal:  Proteomics       Date:  2009-03       Impact factor: 3.984

3.  Quantification of proteins using data-independent analysis (MSE) in simple andcomplex samples: a systematic evaluation.

Authors:  Yishai Levin; Eva Hradetzky; Sabine Bahn
Journal:  Proteomics       Date:  2011-07-13       Impact factor: 3.984

4.  Effects of traveling wave ion mobility separation on data independent acquisition in proteomics studies.

Authors:  Pavel V Shliaha; Nicholas J Bond; Laurent Gatto; Kathryn S Lilley
Journal:  J Proteome Res       Date:  2013-05-02       Impact factor: 4.466

Review 5.  Proteomic responses of skeletal and cardiac muscle to exercise.

Authors:  Jatin G Burniston; Eric P Hoffman
Journal:  Expert Rev Proteomics       Date:  2011-06       Impact factor: 3.940

6.  Effect of exercise on the skeletal muscle proteome in patients with type 2 diabetes.

Authors:  Sophie E Hussey; Carrie G Sharoff; Andrew Garnham; Zhengping Yi; Benjamin P Bowen; Lawrence J Mandarino; Mark Hargreaves
Journal:  Med Sci Sports Exerc       Date:  2013-06       Impact factor: 5.411

7.  Sucrose nonfermenting AMPK-related kinase (SNARK) mediates contraction-stimulated glucose transport in mouse skeletal muscle.

Authors:  Ho-Jin Koh; Taro Toyoda; Nobuharu Fujii; Michelle M Jung; Amee Rathod; R Jan-Willem Middelbeek; Sarah J Lessard; Jonas T Treebak; Katsuya Tsuchihara; Hiroyasu Esumi; Erik A Richter; Jørgen F P Wojtaszewski; Michael F Hirshman; Laurie J Goodyear
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-16       Impact factor: 11.205

8.  Selectively bred rat model system for low and high response to exercise training.

Authors:  Lauren Gerard Koch; Geoffrey E Pollott; Steven L Britton
Journal:  Physiol Genomics       Date:  2013-05-28       Impact factor: 3.107

9.  Characterization of human skeletal muscle biopsy samples using shotgun proteomics.

Authors:  Kenneth C Parker; Ronan J Walsh; Mohammad Salajegheh; Anthony A Amato; Bryan Krastins; David A Sarracino; Steven A Greenberg
Journal:  J Proteome Res       Date:  2009-07       Impact factor: 4.466

10.  Label-Free LC-MS Profiling of Skeletal Muscle Reveals Heart-Type Fatty Acid Binding Protein as a Candidate Biomarker of Aerobic Capacity.

Authors:  Zulezwan Ab Malik; James N Cobley; James P Morton; Graeme L Close; Ben J Edwards; Lauren G Koch; Steven L Britton; Jatin G Burniston
Journal:  Proteomes       Date:  2013-12-01
View more
  12 in total

1.  Striated muscle-specific serine/threonine-protein kinase beta segregates with high versus low responsiveness to endurance exercise training.

Authors:  Denis Kusić; Joanne Connolly; Heikki Kainulainen; Ekaterina A Semenova; Oleg V Borisov; Andrey K Larin; Daniil V Popov; Edward V Generozov; Ildus I Ahmetov; Steven L Britton; Lauren G Koch; Jatin G Burniston
Journal:  Physiol Genomics       Date:  2019-12-02       Impact factor: 3.107

2.  Simultaneous Pathoproteomic Evaluation of the Dystrophin-Glycoprotein Complex and Secondary Changes in the mdx-4cv Mouse Model of Duchenne Muscular Dystrophy.

Authors:  Sandra Murphy; Michael Henry; Paula Meleady; Margit Zweyer; Rustam R Mundegar; Dieter Swandulla; Kay Ohlendieck
Journal:  Biology (Basel)       Date:  2015-06-10

3.  On the Rate of Synthesis of Individual Proteins within and between Different Striated Muscles of the Rat.

Authors:  Stuart Hesketh; Kanchana Srisawat; Hazel Sutherland; Jonathan Jarvis; Jatin Burniston
Journal:  Proteomes       Date:  2016-03-15

Review 4.  Comparative Skeletal Muscle Proteomics Using Two-Dimensional Gel Electrophoresis.

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

5.  Comparing Simplification Strategies for the Skeletal Muscle Proteome.

Authors:  Bethany Geary; Iain S Young; Phillip Cash; Phillip D Whitfield; Mary K Doherty
Journal:  Proteomes       Date:  2016-03-02

6.  Age- and Activity-Related Differences in the Abundance of Myosin Essential and Regulatory Light Chains in Human Muscle.

Authors:  James N Cobley; Zulezwan Ab Malik; James P Morton; Graeme L Close; Ben J Edwards; Jatin G Burniston
Journal:  Proteomes       Date:  2016-04-08

7.  Concurrent Label-Free Mass Spectrometric Analysis of Dystrophin Isoform Dp427 and the Myofibrosis Marker Collagen in Crude Extracts from mdx-4cv Skeletal Muscles.

Authors:  Sandra Murphy; Margit Zweyer; Rustam R Mundegar; Michael Henry; Paula Meleady; Dieter Swandulla; Kay Ohlendieck
Journal:  Proteomes       Date:  2015-09-16

8.  Global Proteome Changes in the Rat Diaphragm Induced by Endurance Exercise Training.

Authors:  Kurt J Sollanek; Jatin G Burniston; Andreas N Kavazis; Aaron B Morton; Michael P Wiggs; Bumsoo Ahn; Ashley J Smuder; Scott K Powers
Journal:  PLoS One       Date:  2017-01-30       Impact factor: 3.240

9.  Will Quantitative Proteomics Redefine Some of the Key Concepts in Skeletal Muscle Physiology?

Authors:  Agnieszka Gizak; Dariusz Rakus
Journal:  Proteomes       Date:  2016-01-11

Review 10.  The biochemical and mass spectrometric profiling of the dystrophin complexome from skeletal muscle.

Authors:  Sandra Murphy; Kay Ohlendieck
Journal:  Comput Struct Biotechnol J       Date:  2015-11-26       Impact factor: 7.271

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.