Network proteomics of human dermal wound healing
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Updated: Feb 1, 2026

Murine Excisional Wound Healing Model and Histological Morphometric Wound Analysis
Published on: August 21, 2020
Xi Gao1, Emmanuel F Petricoin2, Kevin R Ward3
1Department of Computer Science, School of Engineering, Virginia Commonwealth University, Richmond, VA, United States of America.
Objective:
The healing of wounds is critical in protecting the human body against environmental factors. The mechanisms involving protein expression during this complex physiological process have not been fully elucidated.
Approach:
Here, we use reverse-phase protein microarrays (RPPA) involving 94 phosphoproteins to study tissue samples from tubes implanted in healing dermal wounds in seven human subjects tracked over two weeks. We compare the proteomic profiles to proteomes of controls obtained from skin biopsies from the same subjects.
Main Results:
Compared to previous proteomic studies of wound healing, our approach focuses on wound tissue instead of wound fluid, and has the sensitivity to go beyond measuring only highly abundant proteins. To study the temporal dynamics of networks involved in wound healing, we applied two network analysis methods that integrate the experimental results with prior knowledge about protein-protein physical and regulatory interactions, as well as higher-level biological processes and associated pathways.
Significance:
We uncovered densely connected networks of proteins that are up- or down-regulated during human wound healing, as well as their relationships to microRNAs and to proteins outside of our set of targets that we measured with proteomic microarrays.
Insights
This study reveals complex protein networks driving human wound healing. Researchers used advanced protein microarrays to identify key proteins and their interactions, advancing our understanding of this vital healing process.
Area of Science:
- Biochemistry
- Molecular Biology
- Dermatology
Background:
- Wound healing is a critical physiological process for protecting the body.
- The intricate mechanisms of protein expression during wound healing remain incompletely understood.
Purpose of the Study:
- To elucidate the protein expression dynamics during human dermal wound healing.
- To identify protein networks and their regulatory interactions involved in the healing cascade.
Main Methods:
- Utilized reverse-phase protein microarrays (RPPA) to analyze 94 phosphoproteins in human wound tissue samples.
- Compared proteomic profiles from healing wounds to control skin biopsies from the same subjects.
- Applied network analysis integrating experimental data with prior knowledge of protein interactions and pathways.
Main Results:
- Identified densely connected protein networks that are significantly up- or down-regulated during wound healing.
- Revealed relationships between these networks, microRNAs, and proteins not directly measured.
- Characterized temporal dynamics of protein expression in healing dermal wounds.
Conclusions:
- The study provides novel insights into the molecular machinery governing human wound healing.
- The findings highlight the importance of protein network analysis in understanding complex biological processes.
- This research lays the groundwork for future therapeutic strategies targeting wound repair.
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