Molecular classification of amyotrophic lateral sclerosis by unsupervised clustering of gene expression in motor cortex

Open Access
Authors
  • G. Morello
  • S. Cavallaro
Publication date 2015
Journal Neurobiology of Disease
Volume | Issue number 74
Pages (from-to) 359-376
Organisations
  • Faculty of Medicine (AMC-UvA)
  • Faculty of Science (FNWI) - Swammerdam Institute for Life Sciences (SILS)
Abstract
Amyotrophic lateral sclerosis (ALS) is a rapidly progressive and ultimately fatal neurodegenerative disease, caused by the loss of motor neurons in the brain and spinal cord. Although 10% of ALS cases are familial (FALS), the majority are sporadic (SALS) and probably associated to a multifactorial etiology. Currently there is no cure or prevention for ALS. A prerequisite to formulating therapeutic strategies is gaining understanding of its etio-pathogenic mechanisms. In this study we analyzed whole-genome expression profiles of 41 motor cortex samples of control (10) and sporadic ALS (31) patients. Unsupervised hierarchical clustering was able to separate control from SALS patients. In addition, SALS patients were subdivided in two different groups that were associated to different deregulated pathways and genes, some of which were previously associated to familiar ALS. These experiments are the first to highlight the genomic heterogeneity of sporadic ALS and reveal new clues to its pathogenesis and potential therapeutic targets.
Document type Article
Language English
Published at https://doi.org/10.1016/j.nbd.2014.12.002
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