Literature DB >> 20717797

The use of gene arrays in deciphering the pathobiology of periodontal diseases.

Moritz Kebschull1, Panos N Papapanou.   

Abstract

Gene expression profiling, i.e., the systematic cataloging of messenger RNA sequences in a cell population, organ, or tissue sample, is a powerful means of generating comprehensive genome-level data sets on complex diseases. We have recently applied a systematic transcriptome-based approach in the study of healthy and diseased gingival tissues, as well in the response of peripheral blood mononuclear cells after periodontal therapy. Our data indicate that both the gingival and the circulating transcriptomes correlate with discernible phenotypic characteristics and may further our understanding of the pathobiology of periodontitis. In this chapter, we outline the laboratory steps required for the processing of gingival tissue and blood samples in view of hybridization with whole-genome microarrays.

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Year:  2010        PMID: 20717797     DOI: 10.1007/978-1-60761-820-1_24

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  Molecular differences between chronic and aggressive periodontitis.

Authors:  M Kebschull; P Guarnieri; R T Demmer; A L Boulesteix; P Pavlidis; P N Papapanou
Journal:  J Dent Res       Date:  2013-10-11       Impact factor: 6.116

2.  Integrated biomarker profiling of smokers with periodontitis.

Authors:  Radhakrishnan Nagarajan; Mohanad Al-Sabbagh; Dolph Dawson; Jeffrey L Ebersole
Journal:  J Clin Periodontol       Date:  2017-02-02       Impact factor: 8.728

3.  Gingival tissue transcriptomes in experimental gingivitis.

Authors:  Daniel Jönsson; Per Ramberg; Ryan T Demmer; Moritz Kebschull; Gunnar Dahlén; Panos N Papapanou
Journal:  J Clin Periodontol       Date:  2011-04-19       Impact factor: 8.728

4.  Role of the NK cell-activating receptor CRACC in periodontitis.

Authors:  Benjamin Krämer; Moritz Kebschull; Michael Nowak; Ryan T Demmer; Manuela Haupt; Christian Körner; Sven Perner; Søren Jepsen; Jacob Nattermann; Panos N Papapanou
Journal:  Infect Immun       Date:  2012-12-17       Impact factor: 3.441

5.  Gingival tissue transcriptomes identify distinct periodontitis phenotypes.

Authors:  M Kebschull; R T Demmer; B Grün; P Guarnieri; P Pavlidis; P N Papapanou
Journal:  J Dent Res       Date:  2014-03-19       Impact factor: 6.116

6.  Age and Periodontal Health - Immunological View.

Authors:  J L Ebersole; D A Dawson; P Emecen Huja; S Pandruvada; A Basu; L Nguyen; Y Zhang; O A Gonzalez
Journal:  Curr Oral Health Rep       Date:  2018-11-07

7.  Oral microbiome interactions with gingival gene expression patterns for apoptosis, autophagy and hypoxia pathways in progressing periodontitis.

Authors:  Jeffrey L Ebersole; Sreenatha S Kirakodu; Octavio A Gonzalez
Journal:  Immunology       Date:  2021-01-04       Impact factor: 7.397

8.  Patient-Specific Variations in Biomarkers across Gingivitis and Periodontitis.

Authors:  Radhakrishnan Nagarajan; Craig S Miller; Dolph Dawson; Mohanad Al-Sabbagh; Jeffrey L Ebersole
Journal:  PLoS One       Date:  2015-09-25       Impact factor: 3.240

9.  Transcriptome Analysis of B Cell Immune Functions in Periodontitis: Mucosal Tissue Responses to the Oral Microbiome in Aging.

Authors:  Jeffrey L Ebersole; Sreenatha S Kirakodu; M John Novak; Luis Orraca; Janis Gonzalez Martinez; Larry L Cunningham; Mark V Thomas; Arnold Stromberg; Subramanya N Pandruvada; Octavio A Gonzalez
Journal:  Front Immunol       Date:  2016-07-18       Impact factor: 7.561

10.  Gingival transcriptomics of follicular T cell footprints in progressing periodontitis.

Authors:  J L Ebersole; S S Kirakodu; L Orraca; J Gonzalez Martinez; O A Gonzalez
Journal:  Clin Exp Immunol       Date:  2021-03-07       Impact factor: 5.732

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