A systems level analysis of epileptogenesis-associated proteome alterations
Despite intense research efforts, the knowledge about the mechanisms of epileptogenesis and epilepsy is still considered incomplete and limited. However, an in-depth understanding of molecular pathophysiological processes is crucial for the rational selection of innovative biomarkers and target cand...
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doaj-b09bb45ef2fc4963888a49748a876b562021-03-22T12:45:32ZengElsevierNeurobiology of Disease1095-953X2017-09-01105164178A systems level analysis of epileptogenesis-associated proteome alterationsMichael Keck0Ganna Androsova1Fabio Gualtieri2Andreas Walker3Eva-Lotta von Rüden4Vera Russmann5Cornelia A. Deeg6Stefanie M. Hauck7Roland Krause8Heidrun Potschka9Institute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University (LMU), 80539 Munich, GermanyBioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4367 Belvaux, LuxembourgInstitute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University (LMU), 80539 Munich, GermanyInstitute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University (LMU), 80539 Munich, GermanyInstitute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University (LMU), 80539 Munich, GermanyInstitute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University (LMU), 80539 Munich, GermanyInstitute of Animal Physiology, Department of Veterinary Sciences, Ludwig-Maximilians-University (LMU), 80539 Munich, Germany; Experimental Ophthalmology, Philipps University of Marburg, 35037 Marburg, GermanyResearch Unit Protein Science, Helmholtz Center Munich, 85764 Neuherberg, GermanyBioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, 4367 Belvaux, Luxembourg; Corresponding author at: Bioinformatics Core, Luxembourg Centre for Systems Biomedicine (LCSB), Université du Luxembourg, 6, avenue du Swing, L-4367 Belvaux, Luxembourg.Institute of Pharmacology, Toxicology and Pharmacy, Ludwig-Maximilians-University (LMU), 80539 Munich, Germany; Corresponding author at: Institute of Pharmacology, Toxicology, and Pharmacy, Ludwig-Maximilians-University (LMU), Koeniginstr. 16, D-80539 Munich, Germany.Despite intense research efforts, the knowledge about the mechanisms of epileptogenesis and epilepsy is still considered incomplete and limited. However, an in-depth understanding of molecular pathophysiological processes is crucial for the rational selection of innovative biomarkers and target candidates.Here, we subjected proteomic data from different phases of a chronic rat epileptogenesis model to a comprehensive systems level analysis. Weighted Gene Co-expression Network analysis identified several modules of interconnected protein groups reflecting distinct molecular aspects of epileptogenesis in the hippocampus and the parahippocampal cortex. Characterization of these modules did not only further validate the data but also revealed regulation of molecular processes not described previously in the context of epilepsy development. The data sets also provide valuable information about temporal patterns, which should be taken into account for development of preventive strategies in particular when it comes to multi-targeting network pharmacology approaches.In addition, principal component analysis suggests candidate biomarkers, which might inform the design of novel molecular imaging approaches aiming to predict epileptogenesis during different phases or confirm epilepsy manifestation. Further studies are necessary to distinguish between molecular alterations, which correlate with epileptogenesis versus those reflecting a mere consequence of the status epilepticus.http://www.sciencedirect.com/science/article/pii/S0969996117301274Status epilepticusWGCNAEpilepsyNetworkMass spectrometryBioinformatics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Michael Keck Ganna Androsova Fabio Gualtieri Andreas Walker Eva-Lotta von Rüden Vera Russmann Cornelia A. Deeg Stefanie M. Hauck Roland Krause Heidrun Potschka |
spellingShingle |
Michael Keck Ganna Androsova Fabio Gualtieri Andreas Walker Eva-Lotta von Rüden Vera Russmann Cornelia A. Deeg Stefanie M. Hauck Roland Krause Heidrun Potschka A systems level analysis of epileptogenesis-associated proteome alterations Neurobiology of Disease Status epilepticus WGCNA Epilepsy Network Mass spectrometry Bioinformatics |
author_facet |
Michael Keck Ganna Androsova Fabio Gualtieri Andreas Walker Eva-Lotta von Rüden Vera Russmann Cornelia A. Deeg Stefanie M. Hauck Roland Krause Heidrun Potschka |
author_sort |
Michael Keck |
title |
A systems level analysis of epileptogenesis-associated proteome alterations |
title_short |
A systems level analysis of epileptogenesis-associated proteome alterations |
title_full |
A systems level analysis of epileptogenesis-associated proteome alterations |
title_fullStr |
A systems level analysis of epileptogenesis-associated proteome alterations |
title_full_unstemmed |
A systems level analysis of epileptogenesis-associated proteome alterations |
title_sort |
systems level analysis of epileptogenesis-associated proteome alterations |
publisher |
Elsevier |
series |
Neurobiology of Disease |
issn |
1095-953X |
publishDate |
2017-09-01 |
description |
Despite intense research efforts, the knowledge about the mechanisms of epileptogenesis and epilepsy is still considered incomplete and limited. However, an in-depth understanding of molecular pathophysiological processes is crucial for the rational selection of innovative biomarkers and target candidates.Here, we subjected proteomic data from different phases of a chronic rat epileptogenesis model to a comprehensive systems level analysis. Weighted Gene Co-expression Network analysis identified several modules of interconnected protein groups reflecting distinct molecular aspects of epileptogenesis in the hippocampus and the parahippocampal cortex. Characterization of these modules did not only further validate the data but also revealed regulation of molecular processes not described previously in the context of epilepsy development. The data sets also provide valuable information about temporal patterns, which should be taken into account for development of preventive strategies in particular when it comes to multi-targeting network pharmacology approaches.In addition, principal component analysis suggests candidate biomarkers, which might inform the design of novel molecular imaging approaches aiming to predict epileptogenesis during different phases or confirm epilepsy manifestation. Further studies are necessary to distinguish between molecular alterations, which correlate with epileptogenesis versus those reflecting a mere consequence of the status epilepticus. |
topic |
Status epilepticus WGCNA Epilepsy Network Mass spectrometry Bioinformatics |
url |
http://www.sciencedirect.com/science/article/pii/S0969996117301274 |
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