NDLI: Mitochondrial Network Genes in the Skeletal Muscle of Amyotrophic Lateral Sclerosis Patients

Content Provider	PubMed Central
Author	Bernardini, Camilla Censi, Federica Lattanzi, Wanda Barba, Marta Calcagnini, Giovanni Giuliani, Alessandro Tasca, Giorgio Sabatelli, Mario Ricci, Enzo Michetti, Fabrizio
Editor	Antonio, Musaro
Copyright Year	2013
Abstract	Recent evidence suggested that muscle degeneration might lead and/or contribute to neurodegeneration, thus it possibly play a key role in the etiopathogenesis and progression of amyotrophic lateral sclerosis (ALS). To test this hypothesis, this study attempted to categorize functionally relevant genes within the genome-wide expression profile of human ALS skeletal muscle, using microarray technology and gene regulatory network analysis. The correlation network structures significantly change between patients and controls, indicating an increased inter-gene connection in patients compared to controls. The gene network observed in the ALS group seems to reflect the perturbation of muscle homeostasis and metabolic balance occurring in affected individuals. In particular, the network observed in the ALS muscles includes genes (PRKR1A, FOXO1, TRIM32, ACTN3, among others), whose functions connect the sarcomere integrity to mitochondrial oxidative metabolism. Overall, the analytical approach used in this study offer the possibility to observe higher levels of correlation (i.e. common expression trends) among genes, whose function seems to be aberrantly activated during the progression of muscle atrophy.
Related Links	http://dx.doi.org/10.1371/journal.pone.0057739
Starting Page	57739
File Format	PDF
ISSN	19326203
e-ISSN	19326203
Journal	PLoS ONE
Issue Number	2
Volume Number	8
Language	English
Publisher	Public Library of Science
Publisher Date	2013-02-01
Access Restriction	Open
Rights Holder	Public Library of Science
Subject Keyword	Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

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