Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Transcriptomes in Healthy and Diseased Gingival Tissues


ABSTRACT: We examined gene expression signatures in healthy and diseased gingival tissues in 90 patients. Analysis of the gingival tissue transcriptome in states of periodontal health and disease may reveal novel insights of the pathobiology of periodontitis. Keywords: gingival tissue disease state analysis Ninety non-smokers, 63 with chronic and 27 with aggressive periodontitis, each contributing with >=2 “diseased” interproximal papillae (with bleeding on probing, probing pocket depth >=4mm, and clinical attachment loss >=3mm) and a “healthy” papilla, if available (no BoP, PPD<=4mm and CAL<=2mm). RNA was extracted, amplified, reverse transcribed, labeled, and hybridized with AffymetrixU133Plus2.0 arrays. Transcriptome analysis was conducted on a total of 247 samples (from 183 diseased and 64 healthy sites).

ORGANISM(S): Homo sapiens

SUBMITTER: Ryan Demmer 

PROVIDER: E-GEOD-10334 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Transcriptomes in healthy and diseased gingival tissues.

Demmer Ryan T RT   Behle Jan H JH   Wolf Dana L DL   Handfield Martin M   Kebschull Moritz M   Celenti Romanita R   Pavlidis Paul P   Papapanou Panos N PN  

Journal of periodontology 20081101 11


<h4>Background</h4>Clinical and radiographic measures are gold standards for diagnosing periodontitis but offer little information regarding the pathogenesis of the disease. We hypothesized that a comparison of gene expression signatures between healthy and diseased gingival tissues would provide novel insights in the pathobiology of periodontitis and would inform the design of future studies.<h4>Methods</h4>Ninety systemically healthy non-smokers with moderate to advanced periodontitis (63 with  ...[more]

Similar Datasets

2014-02-05 | E-GEOD-54710 | biostudies-arrayexpress
2009-12-21 | E-GEOD-16134 | biostudies-arrayexpress
2014-10-15 | E-MTAB-1977 | biostudies-arrayexpress
2008-12-22 | GSE10334 | GEO
2014-02-05 | GSE54710 | GEO
2020-09-25 | PXD018029 | Pride
2010-08-13 | E-GEOD-23586 | biostudies-arrayexpress
2020-01-09 | PXD014608 | Pride
2020-12-28 | GSE152042 | GEO
2017-03-29 | GSE79705 | GEO