PuSH - Publication Server of Helmholtz Zentrum München

Export: TXT Text RIS Endnote (RIS) BIB BibTeX
Keck, M.E.* ; Androsova, G.* ; Gualtieri, F.* ; Walker, A.* ; von Rüden, E.L.* ; Russmann, V.* ; Deeg, C.A.* ; Hauck, S.M. ; Krause, R.* ; Potschka, H.*

A systems level analysis of epileptogenesis-associated proteome alterations.

Neurobiol. Dis. 105, 164-178 (2017)
Publ. Version/Full Text Research data DOI PMC
Open Access Hybrid
Creative Commons Lizenzvertrag
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
5.020
0.000
17
18
Tags
Annotations
Special Publikation
Hide on homepage

Edit extra information
Edit own tags
Private
Edit own annotation
Private
Hide on publication lists
on hompage
Mark as special
publikation
Publication type Article: Journal article
Document type Scientific Article
Keywords Bioinformatics ; Epilepsy ; Mass Spectrometry ; Network ; Proteome ; Status Epilepticus ; Wgcna; Temporal-lobe Epilepsy; Coexpression Network Analysis; Status Epilepticus; Drug Discovery; Rat Model; Autoimmune Uveitis; R-package; Target; Antiepileptogenesis; Expression
Language
Publication Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 0969-9961
e-ISSN 1095-953X
Journal Neurobiology of Disease
Quellenangaben Volume: 105, Issue: , Pages: 164-178 Article Number: , Supplement: ,
Publisher Elsevier
Publishing Place San Diego
Reviewing status Peer reviewed
Institute(s) CF Metabolomics & Proteomics (CF-MPC)
POF-Topic(s) 30203 - Molecular Targets and Therapies
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-505700-001
DOI 10.1016/j.nbd.2017.05.017
WOS ID WOS:000406734300014
Scopus ID 85020709074
PubMed ID 28576708
Erfassungsdatum 2017-07-12
[➜Report correction]