Conditional independence mapping of DIGE data reveals PDIA3 protein species as key nodes associated with muscle aerobic capacity Jatin G. Burniston, Jenna Kenyani, Donna Gray, Eleonora Guadagnin, Ian H. Jarman, James N. Cobley, Daniel J. Cuthbertson, Yi-Wen Chen, Jonathan M. Wastling, Paulo J. Lisboa, Lauren G. Koch, Steven L. Britton PII: DOI: Reference:
S1874-3919(14)00182-1 doi: 10.1016/j.jprot.2014.04.015 JPROT 1793
To appear in:
Journal of Proteomics
Received date: Revised date: Accepted date:
1 March 2014 3 April 2014 9 April 2014
Please cite this article as: Burniston Jatin G., Kenyani Jenna, Gray Donna, Guadagnin Eleonora, Jarman Ian H., Cobley James N., Cuthbertson Daniel J., Chen Yi-Wen, Wastling Jonathan M., Lisboa Paulo J., Koch Lauren G., Britton Steven L., Conditional independence mapping of DIGE data reveals PDIA3 protein species as key nodes associated with muscle aerobic capacity, Journal of Proteomics (2014), doi: 10.1016/j.jprot.2014.04.015
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ACCEPTED MANUSCRIPT Conditional independence mapping of DIGE data reveals PDIA3 protein species as key nodes associated
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with muscle aerobic capacity. Jatin G. Burniston1*, Jenna Kenyani2, Donna Gray3, Eleonora Guadagnin4, Ian H. Jarman5, James
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N. Cobley1, Daniel J. Cuthbertson3, Yi-Wen Chen4,6, Jonathan M. Wastling7, Paulo J. Lisboa5,
Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool,
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1
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Lauren G. Koch8,9 and Steven L. Britton8,9.
L3 3AF, UK; 2Department of Cellular and Molecular Physiology, University of Liverpool, Nuffield
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Building, Liverpool L69 3BX 3Department of Obesity and Endocrinology, Clinical Sciences Center, University Hospital Anitree, Liverpool, L9 7AL, UK; 4Center for Genetic Medicine Research, Children's National Medical Center, Washington, DC, 20010, USA; 5Department of 6
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Mathematics and Statistics, Liverpool John Moores University, Liverpool, L3 3AF, UK; Department of Integrative Systems Biology, George Washington University, Washington DC,
USA; 7Department of Infection Biology, Institute of Infection and Global Health, University of 9
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Liverpool, Liverpool Science Park IC2, L3 5RF, UK; 8Department of Internal Medicine and Department of Anesthesiology, University of Michigan, Ann Arbor, MI 48109-2200, USA.
*Corresponding author: Dr Jatin G. Burniston. Muscle Physiology and Proteomics Laboratory, Research Institute for Sport and Exercise Sciences, Tom Reilly Building, Liverpool John Moores University, Byrom Street, LIVERPOOL, L3 3AF United Kingdom. Tel: 0151 904 6265. Fax: 0151 904 6284 Email:
[email protected]
ACCEPTED MANUSCRIPT Abstract Profiling of protein species is important because gene polymorphisms, splice variations and posttranslational modifications may combine and give rise to multiple protein species that have different
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effects on cellular function. Two-dimensional gel electrophoresis is one of the most robust methods for differential analysis of protein species, but bioinformatic interrogation is challenging because
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the consequences of changes in the abundance of individual protein species on cell function are unknown and cannot be predicted. We conducted DIGE of soleus muscle from male and female rats
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artificially selected as either high- or low-capacity runners (HCR and LCR, respectively). In total 696 protein species were resolved and LC-MS/MS identified proteins in 337 spots. Forty protein
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species were differentially (P
