Poster Presentation 23rd Annual Lorne Proteomics Symposium 2018

Proteomics exploration in skeletal muscle following physical trauma (#133)

Lian Liu 1 , Tony Parker 2 , Jonathan Peake 2
  1. Queensland University of Technology, Kelvin Grove, QLD, Australia
  2. IHBI QUT, Kelvin Grove, QLD, Australia

Muscle injury is a prevalent cause of debilitation for workers, athletes, and the public generally at home and in motor vehicle accidents. These incidents cause suffering to patients. To date, the general processes associated with skeletal muscle injury have been described. In spite of these investigations into skeletal muscle injury, it is still unclear as to the specific mechanisms of injury progression and factors affecting the initiation of the recovery process. It is therefore necessary to conduct research aimed at providing more detailed insights into the fundamental factors and mechanisms that regulate the activity of skeletal muscle cells following injury.


The project applied proteomics based approaches in in vivo model. Specifically, a rat impact contusion model was utilized to model impact trauma. Dynamic global proteinĀ  profiling using, LC-MS/MS was performed at 6h, 12h, 1, 3, 7 and 14 days on tissue homogenates to identify factors that are associated with the initial recovery response following injury. Specifically, pooled protein samples from all of the animals were fractionated by LDS-PAGE and in-gel digestion, while 35 individual samples were fractionated by filter-aided sample preparation. Liquid chromatography tandem mass spectrometry (LC-MS) analysis was performed. Pooled samples were analysed by data-dependent acquisition, whereas each individual sample was analysed by data-independent acquisition. Data explorations were performed using multiple tools.


  1. Differentially expressed proteins were identified in each post-injury time points based on statistical analysis and 2 fold change.
  2. Protein-protein interaction, and GO enrichment and KEGG pathway of over regulated-proteins at each post-injured time points were determined by direct visual network.


Global proteomics profiling revealed comprehensive insights into the dominant biological processes that occur in skeletal muscle after injury. The key protein-protein interactions and biological networks that underpin muscle regeneration have been defined in my study.