Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

The unique molecular signature of cortical tissue injury in Multiple Sclerosis

ABSTRACT: In the present study we addressed several questions related to the mechanisms of cortical injury. We analyzed genome wide gene expression by microarrays, comparing active multiple sclerosis lesions with highly inflammatory lesions of chronic tuberculous meningitis, with neurodegenerative lesions of Alzheimer’s disease and with normal cortex of age matched controls. To clarify which inflammatory mediators drive demyelination in the human cortex, we characterized and compared the gene expression profile of cortices derived from patients with progressive Multiple Sclerosis (pMS), Meningitis tuberculosis (MT), Alzheimers disease (AD) as well as of normal cortex from age matched controls. 3 cases of each disease were included into the study. Preceding the gene expression profiling all cases were characterized histologically and areas of interest were identified. RNA was isolated from those areas, amplified and hybridized to Agilent G4112F whole genome microarrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Marie-Therese Fischer

PROVIDER: E-GEOD-32645 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Disease-specific molecular events in cortical multiple sclerosis lesions.

Fischer Marie Therese MT Wimmer Isabella I Höftberger Romana R Gerlach Susanna S Haider Lukas L Zrzavy Tobias T Hametner Simon S Mahad Don D Binder Christoph J CJ Krumbholz Markus M Bauer Jan J Bradl Monika M Lassmann Hans H

Brain : a journal of neurology 20130517 Pt 6

Cortical lesions constitute an important part of multiple sclerosis pathology. Although inflammation appears to play a role in their formation, the mechanisms leading to demyelination and neurodegeneration are poorly understood. We aimed to identify some of these mechanisms by combining gene expression studies with neuropathological analysis. In our study, we showed that the combination of inflammation, plaque-like primary demyelination and neurodegeneration in the cortex is specific for multipl ...[more]

PMID: 23687122

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Project description:Epigenetic modifications, such as aberrant DNA promoter methylation is frequently observed in cervical cancer. Identification of hypermethylated regions maybe useful for discrimination between normal cervical epithelium and high-grade cervical intraepithelial neoplasia (CIN2/3) or worse may improve current cervical cancer population-based screening programs. In this study, the DNA methylome of high-grade CIN lesions were characterised using genome-wide methylation screening to identify potential biomarkers for early diagnosis of cervical neoplasia. Methyl-DNA Immunoprecipitation (MeDIP) combined with DNA microarray was used to compare DNA methylation profiles of epithelial cells derived from high-grade CIN lesions with normal cervical epithelium resulting in the identification of hypermethylated differentially methylated regions (DMRs). Validation of 9 selected DMRs by MSP or BSP in cervical tissue revealed methylation in 63.2-94.7% high-grade CIN and in 59.3-100% cervical carcinomas. QMSP for the two most significant high-grade CIN-specific methylation markers was applied exploring test performance in a large series of cervical scrapings. Frequency and relative level of methylation were significantly different between normal and cancer samples (p<0.001). Clinical validation of both markers in cervical scrapings from patients referred with an abnormal cervical smear, confirmed that frequency and relative level of methylation were related with increasing severity of the underlying CIN lesion (p<0.001) and the ROC analysis was discriminative (p<0.005). These possible methylation markers represent COL25A1 and KATNAL2 promoters and their observed increased methylation upon progression is in agreement with their biological function (cytoskeleton regulation). In conclusion, our newly identified hypermethylated DMRs represent specific DNA methylation patterns in high-grade CIN lesions and could be potential biomarkers for early detection. Epigenetic modifications, such as aberrant DNA promoter methylation is frequently observed in cervical cancer. Identification of hypermethylated regions maybe useful for discrimination between normal cervical epithelium and high-grade cervical intraepithelial neoplasia (CIN2/3) or worse may improve current cervical cancer population-based screening programs. In this study, the DNA methylome of high-grade CIN lesions were characterised using genome-wide methylation screening to identify potential biomarkers for early diagnosis of cervical neoplasia. Methyl-DNA Immunoprecipitation (MeDIP) combined with DNA microarray was used to compare DNA methylation profiles of epithelial cells derived from high-grade CIN lesions with normal cervical epithelium resulting in the identification of hypermethylated differentially methylated regions (DMRs). Validation of 9 selected DMRs by MSP or BSP in cervical tissue revealed methylation in 63.2-94.7% high-grade CIN and in 59.3-100% cervical carcinomas. QMSP for the two most significant high-grade CIN-specific methylation markers was applied exploring test performance in a large series of cervical scrapings. Frequency and relative level of methylation were significantly different between normal and cancer samples (p<0.001). Clinical validation of both markers in cervical scrapings from patients referred with an abnormal cervical smear, confirmed that frequency and relative level of methylation were related with increasing severity of the underlying CIN lesion (p<0.001) and the ROC analysis was discriminative (p<0.005). These possible methylation markers represent COL25A1 and KATNAL2 promoters and their observed increased methylation upon progression is in agreement with their biological function (cytoskeleton regulation). In conclusion, our newly identified hypermethylated DMRs represent specific DNA methylation patterns in high-grade CIN lesions and could be potential biomarkers for early detection. MeDIP with subsequent microarray analysis was performed on DNA isolated from frozen macrodissected epithelial tissue of CIN3 lesions (n=15) and normal cervices (n=10).

Dataset Information

The unique molecular signature of cortical tissue injury in Multiple Sclerosis

Publications

Disease-specific molecular events in cortical multiple sclerosis lesions.

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