Exploring Wound-Healing Genomic Machinery with a Network-Based Approach
Cusella De Angelis, Maria
AffiliationUniv Arizona Hlth Sci, Ctr Biomed Informat & Biostat
Univ Arizona, Inst Ctr Biomed Informat & Biostat BIO5
Univ Arizona, Dept Med
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CitationExploring Wound-Healing Genomic Machinery with a Network-Based Approach 2017, 10 (2):55 Pharmaceuticals
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AbstractThe molecular mechanisms underlying tissue regeneration and wound healing are still poorly understood despite their importance. In this paper we develop a bioinformatics approach, combining biology and network theory to drive experiments for better understanding the genetic underpinnings of wound healing mechanisms and for selecting potential drug targets. We start by selecting literature-relevant genes in murine wound healing, and inferring from them a Protein-Protein Interaction (PPI) network. Then, we analyze the network to rank wound healing-related genes according to their topological properties. Lastly, we perform a procedure for in-silico simulation of a treatment action in a biological pathway. The findings obtained by applying the developed pipeline, including gene expression analysis, confirms how a network-based bioinformatics method is able to prioritize candidate genes for in vitro analysis, thus speeding up the understanding of molecular mechanisms and supporting the discovery of potential drug targets.
NoteOpen Access Journal.
VersionFinal published version
Sponsorsgrant of NATO ("RAWINTS": RApid Skin Wound healing by INtegrated Tissue engineering and Sensing) [G-984961]