Genome-Wide Analysis of Periodontal and Peri-Implant Cells and Tissues

Moritz Kebschull, Claudia Hülsmann, Per Hoffmann, Panos N Papapanou

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

Omics analyses, including the systematic cataloging of messenger RNA and microRNA sequences or DNA methylation patterns in a cell population, organ or tissue sample, are powerful means of generating comprehensive genome-level data sets on complex diseases. We have systematically assessed the transcriptome, miRNome and methylome of gingival tissues from subjects with different diagnostic entities of periodontal disease, and studied the transcriptome of primary cells ex vivo, or in vitro after infection with periodontal pathogens. Our data further our understanding of the pathobiology of periodontal diseases and indicate that the gingival -omes translate into discernible phenotypic characteristics and possibly support an alternative, "molecular" classification of periodontitis.Here, we outline the laboratory steps required for the processing of periodontal cells and tissues for -omics analyses using current microarrays or next-generation sequencing technology.

Original languageEnglish
Title of host publicationOral Biology
Subtitle of host publicationMolecular Techniques and Applications
PublisherSpringer
Pages307-326
Number of pages20
Edition2nd
ISBN (Electronic)978-1-4939-6685-1
ISBN (Print)978-1-4939-6683-7
DOIs
Publication statusPublished - 2017

Publication series

NameMethods in molecular biology
PublisherSpringer
Volume1537
ISSN (Print)1064-3745

Keywords

  • Cells, Cultured
  • DNA Methylation
  • Epigenomics/methods
  • Gene Expression Profiling
  • Genome-Wide Association Study/methods
  • Gingiva/metabolism
  • High-Throughput Nucleotide Sequencing
  • Humans
  • Leukocytes, Mononuclear
  • Periodontal Diseases/genetics
  • Transcriptome

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