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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Related Experiment Video

Updated: Feb 19, 2026

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis

Wide-Field, Real-Time Imaging of Local and Systemic Wound Signals in Arabidopsis

Published on: June 4, 2021

Transcriptomic responses to wounding: meta-analysis of gene expression microarray data.

Piotr Andrzej Sass¹, Michał Dąbrowski², Agata Charzyńska²

¹Department Molecular Biotechnology and Microbiology, Gdańsk University of Technology, Gdańsk, Poland.

|November 9, 2017

Summary

This summary is machine-generated.

This study reveals consistent gene expression patterns during wound healing across diverse tissues and species. Inflammatory gene upregulation persists throughout healing, impacting repair and remodeling phases.

Keywords:

Gene expression microarray Tissue injury; regeneration Transcriptomics Wound healing Wound repair

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Area of Science:

Genomics
Molecular Biology
Tissue Engineering

Background:

Extensive microarray data exists on transcriptomic responses to injury.
Previous studies have not comparatively analyzed gene expression across diverse tissues and species post-wounding.

Purpose of the Study:

To identify genes with significant expression changes following wounding across various tissues and organisms.
To compare gene expression profiles in response to wounding in heart, liver, skin, bones, and spinal cord.
To analyze transcriptomic data from rat, mouse, and human species.

Main Methods:

Meta-analysis of existing microarray transcriptomic profiles from tissue injury experiments.
Selection of genes with a minimum twofold expression change in response to wounding across multiple experiments.
Categorization of wound healing into five stages: haemostasis & early inflammation, inflammation, early repair, late repair, and remodelling.
Ontological analyses to determine pathway-specific activations during wound healing phases.

Main Results:

Transcriptomic responses showed limited consistency between tissues during early inflammation phases.
Consistent transcriptional responses were identified in later repair and remodelling phases across all examined tissues.
Ontological analysis revealed phase-specific pathway activations, like vitamin D responses during inflammation.
Genes encoding inflammatory agents and extracellular matrix proteins were upregulated throughout all wound healing phases.
Several differentially upregulated genes, including PTPRC and AQP4, were identified across different wound response stages.

Conclusions:

Transcriptomic responses to wounding exhibit conserved characteristics across diverse tissues, including skin, muscles, internal organs, and the nervous system.
Inflammatory gene induction was observed not only in the initial wound response but also during later repair and remodelling stages.