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Biometric Quantification of Keratinocyte Turnover Using Bioengineered Human Skin Equivalents.

Georgia Abraham1, Julia Maczkowska1, Rachel Gilmore1

  • 1Department of Biosciences, Durham University, Durham, UK.

Methods in Molecular Biology (Clifton, N.J.)
|November 11, 2025
PubMed
Summary
This summary is machine-generated.

This study details methods for assessing keratinocyte turnover in skin models. Techniques like Ki67 staining and TUNEL assays help understand cell proliferation and apoptosis in full-thickness human skin equivalents (FT-HSEs).

Keywords:
ApoptosisHuman skin equivalentsImmunofluorescenceKeratinocyteKi67ProliferationTUNEL AssayTurnover

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Area of Science:

  • Dermatology
  • Cell Biology
  • Tissue Engineering

Background:

  • Epidermal cell turnover is crucial for skin barrier function.
  • Disrupted keratinocyte turnover contributes to skin diseases.
  • Full-thickness human skin equivalents (FT-HSEs) are valuable in vitro models for skin research.

Purpose of the Study:

  • To describe methods for evaluating keratinocyte turnover in FT-HSEs.
  • To provide insights into cellular proliferation and apoptosis within these skin models.
  • To establish a framework for studying epidermal responses to various stimuli.

Main Methods:

  • Immunofluorescent staining for Ki67 to assess cellular proliferation.
  • Terminal deoxynucleotidyl transferase dUTP nick-end labeling (TUNEL) assay for apoptosis detection.
  • Application of these techniques in full-thickness human skin equivalents (FT-HSEs).

Main Results:

  • The described methods allow for quantitative assessment of keratinocyte proliferation.
  • The TUNEL assay enables the identification and quantification of apoptotic cells.
  • These assays provide crucial data on keratinocyte turnover dynamics in FT-HSEs.

Conclusions:

  • Ki67 staining and TUNEL assay are effective tools for studying keratinocyte turnover.
  • These methods offer valuable insights into skin biology and disease mechanisms.
  • FT-HSEs combined with these assays serve as a robust platform for dermatological research.