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Isolation, Processing and Analysis of Murine Gingival Cells
09:47

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Published on: July 2, 2013

Transcriptomes in healthy and diseased gingival tissues.

Ryan T Demmer1, Jan H Behle, Dana L Wolf

  • 1Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, USA.

Journal of Periodontology
|November 5, 2008
PubMed
Summary

Comparing gene expression in healthy versus periodontitis tissues reveals significant differences in disease pathways. This transcriptome analysis offers new insights into the pathobiology of periodontitis.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Periodontology

Background:

  • Clinical and radiographic measures are standard for periodontitis diagnosis but lack pathobiological detail.
  • Gene expression signatures can offer novel insights into periodontitis pathobiology.

Purpose of the Study:

  • To compare gene expression signatures between healthy and periodontitis-affected gingival tissues.
  • To identify novel insights into the pathobiology of periodontitis.

Main Methods:

  • Whole genome microarrays were used to analyze RNA from 247 gingival tissue samples (183 diseased, 64 healthy) from 90 periodontitis patients.
  • Differential gene expression was assessed using a mixed-effects linear model.
  • Gene ontology analysis classified differentially expressed genes into functional categories.

Main Results:

  • 12,744 probe sets were differentially expressed between healthy and diseased tissues (P <9.15 x 10(7)).
  • 5,295 genes were upregulated and 7,449 were downregulated in periodontitis.
  • Gene ontology analysis identified 61 differentially expressed groups, including apoptosis, immune response, and metabolic processes.

Conclusions:

  • Gingival tissue transcriptomes are a valuable tool for studying periodontitis pathobiology.
  • This study provides a foundation for future hypothesis-driven research into periodontitis mechanisms.