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

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

BMC Genomics, 2017 · DOI: 10.1186/s12864-017-4202-8 · Published: November 21, 2017

BioinformaticsDermatology

Simple Explanation

This study analyzes gene expression changes after injury in different tissues and organisms. The meta-analysis compares gene expression profiles in response to wounding in tissues like heart, liver, skin, bones, and spinal cord, and species like rat, mouse and human. The study identifies genes with significant expression changes after wounding and compares them across different wound healing stages.

Study Duration
Not specified
Participants
rat, mouse and human
Evidence Level
Level 5: Meta-Analysis

Key Findings

  • 1
    Transcriptomic responses in early wound healing phases showed little consistency between tissues.
  • 2
    Later phases of wound repair and remodelling showed similar transcriptional responses across tissues.
  • 3
    Inflammatory genes were induced not only initially but also during repair and remodelling.

Research Summary

This meta-analysis compares gene expression profiles in response to wounding across different tissues and species. The study identifies genes with significant expression changes after wounding, comparing them across wound healing stages. The research reveals that while early responses vary, later stages show more consistency, and inflammatory genes are active throughout the process.

Practical Implications

Targeted Therapies

Identifying key genes could lead to therapies to improve wound healing outcomes.

Understanding Chronic Wounds

Insights into persistent inflammation may aid in treating chronic wounds.

Regenerative Medicine

Exploring genes like PTPRC and AQP4 may offer new avenues for regenerative repair.

Study Limitations

  • 1
    Difficulties in excising precisely the injured tissue without collecting the neighbouring normal tissues.
  • 2
    Available microarray profiling methods allow the examination of several time points, but not continuous tracking of the process.
  • 3
    Most expression microarrays do not include a substantial part of known genes, in particular the miRNA genes.

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