Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human peripheral blood monocytes in periodontal therapy

ABSTRACT: Periodontal infections have been associated with systemic inflammation and risk for atherosclerosis and vascular disease. We investigated the effects of comprehensive periodontal therapy on gene expression of peripheral blood monocytes. Approximately 1/3 of the patients showed substantial changes in expression in genes relevant to innate immunity, apoptosis, and cell signaling. We concluded that periodontal therapy may alter monocytic gene expression in a manner consistent with a systemic anti-inflammatory effect. Experiment Overall Design: Fifteen patients with periodontitis contributed with blood samples at four time points: 1 week prior to periodontal treatment (#1), at treatment initiation (baseline, #2), 6 weeks (#3) and 10 weeks post-baseline (#4). At baseline and 10 weeks, periodontal status was recorded and subgingival plaque samples were collected and processed by checkerboard DNA-DNA hybridization. Periodontal therapy, including periodontal surgery and extractions but no adjunctive antibiotics, was completed within 6 weeks. At each of the four time points, serum concentrations of 19 biomarkers were determined using multiplex assays for Luminex technology. Peripheral blood monocytes were purified, RNA was extracted, reverse-transcribed, labeled, and hybridized with Affymetrix U133 Plus 2.0 chips. Expression profiles were analyzed using linear random effects models. Further analysis of Gene Ontology (GO) terms summarized the expression patterns into biologically relevant categories. Treatment resulted in substantial improvement in clinical periodontal status and reduction in levels of several periodontal pathogens. Expression profiling over time revealed more than 11,000 probes sets differentially expressed at a false discovery rate of <0.05.

ORGANISM(S): Homo sapiens

SUBMITTER: Paul Pavlidis

PROVIDER: E-GEOD-6751 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Periodontal therapy alters gene expression of peripheral blood monocytes.

Papapanou Panos N PN Sedaghatfar Michael H MH Demmer Ryan T RT Wolf Dana L DL Yang Jun J Roth Georg A GA Celenti Romanita R Belusko Paul B PB Lalla Evanthia E Pavlidis Paul P

Journal of clinical periodontology 20070901 9

<h4>Aims</h4>We investigated the effects of periodontal therapy on gene expression of peripheral blood monocytes.<h4>Methods</h4>Fifteen patients with periodontitis gave blood samples at four time points: 1 week before periodontal treatment (#1), at treatment initiation (baseline, #2), 6-week (#3) and 10-week post-baseline (#4). At baseline and 10 weeks, periodontal status was recorded and subgingival plaque samples were obtained. Periodontal therapy (periodontal surgery and extractions without ...[more]

PMID: 17716309

Shared Molecules

Only show the datasets with similarity scores above: 0.5

Threshold

0.5

Similar Datasets

Project description:The reconstruction of cell type- and patient-specific metabolic models from easily and reliably measurable features such as transcriptomics data will be increasingly important at the age of personalized medicine. Current reconstruction methods suffer from high computational effort and arbitrary threshold setting. Moreover, understanding the underlying epigenetic regulation might allow the identification of putative intervention points within metabolic networks. Genes under high regulatory load from multiple enhancers or super-enhancers are known key genes for disease and cell identity. However, their role in regulation of metabolism and their placement within the metabolic networks has not been studied. Here we present FASTCORMICS, a fast and robust workflow for the creation of high-quality metabolic models from transcriptomics data. FASTCORMICS is devoid of arbitrary parameter settings and due to its low computational demand allows cross-validation assays.. Applying FASTCORMICS, we have generated models for 63 primary human cell types from microarray data, revealing significant differences in their metabolic networks. To understand the cell type-specific regulation of the alternative metabolic pathways we built multiple models during differentiation of primary human monocytes to macrophages and performed ChIP-Seq experiments for histone H3 K27 acetylation (H3K27ac) to map the active enhancers in macrophages. Focusing on the metabolic genes under high regulatory load from multiple enhancers or super-enhancers, we found these genes to show the most cell type-restricted and abundant expression profiles within their respective pathways. Importantly, the high regulatory load genes are associated to reactions enriched for transport reactions and other pathway entry points, suggesting that they are critical regulatory control points for cell type-specific metabolism. By integrating metabolic modelling and epigenomic analysis we have identified high regulatory load as a common feature of metabolic genes at pathway entry points such as transporters within the macrophage metabolic network. Analysis of these control points through further integration of metabolic and gene regulatory networks in various contexts could be beneficial in multiple fields from identification of disease intervention strategies to cellular reprogramming. ChIP-Seq was performed with chromatin from macrophages differentiated in vitro for 11 days from primary human CD14+ monocytes isolated from the blood of three different anonymous male donors. For each donor one ChIP sample using an antibody against H3K27ac and one input sample were sequenced. Please see the individual samples for further details.