Neuronal methylome reveals CREB-associated neuro-axonal impairment in multiple sclerosis

  • Lara Kular (Creator)
  • Maria Needhamsen (Creator)
  • Milena Z. Adzemovic (Creator)
  • Tatiana Kramarova (Creator)
  • David Gomez-Cabrero (Creator)
  • Ewoud Ewing (Creator)
  • Eliane Piket (Creator)
  • Jesper Tegner (Creator)
  • Stephan Beck (Creator)
  • Fredrik Piehl (Creator)
  • Lou Brundin (Creator)
  • Maja Jagodic (Creator)
  • Lara Kular (Creator)
  • Maria Needhamsen (Creator)
  • Milena Z. Adzemovic (Creator)
  • Tatiana Kramarova (Creator)
  • David Gomez-Cabrero (Creator)
  • Ewoud Ewing (Creator)
  • Eliane Piket (Creator)
  • Stephan Beck (Creator)
  • Fredrik Piehl (Creator)
  • Lou Brundin (Creator)
  • Maja Jagodic (Creator)

Dataset

Description

Abstract Background Due to limited access to brain tissue, the precise mechanisms underlying neuro-axonal dysfunction in neurological disorders such as multiple sclerosis (MS) are largely unknown. In that context, profiling DNA methylation, which is a stable and cell type-specific regulatory epigenetic mark of genome activity, offers a unique opportunity to characterize the molecular mechanisms underpinning brain pathology in situ. We examined DNA methylation patterns of neuronal nuclei isolated from post-mortem brain tissue to infer processes that occur in neurons of MS patients. Results We isolated subcortical neuronal nuclei from post-mortem white matter tissue of MS patients and non-neurological controls using flow cytometry. We examined bulk DNA methylation changes (total n = 29) and further disentangled true DNA methylation (5mC) from neuron-specific DNA hydroxymethylation (5hmC) (n = 17), using Illumina Infinium 450K arrays. We performed neuronal sub-type deconvolution using glutamate and GABA methylation profiles to further reduce neuronal sample heterogeneity. In total, we identified 2811 and 1534 significant (genome-wide adjusted P value
Date made available2019
Publisherfigshare

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