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    • Keywords


      Alzheimer’s disease; Parkinson’s disease; amyotrophic lateral sclerosis; neurodegenerative diseases; shared molecular signatures; genomics

    • Abstract


      Neurodegenerative diseases such as Alzheimer’s disease,Parkinson’s disease, andamyotrophic lateral sclerosis are pressing health concerns in modern societies for which effective therapies are still lacking. Recent high-throughput genomic technologies have enabled genome-scale, multidimensional investigations to facilitate a better understanding of the underlying mechanisms and theidentification of novel targets. Here we review the molecular insights gained through such studies, and compare the similarities and differences between neurodegenerative diseases revealed by systems genomics and gene network modelling approaches. We focus specifically on the shared mechanisms at multiple molecular scales ranging from genetic factors to gene expression to network-level features of gene regulation, and whenever possible also point out mechanisms that distinguish one disease from another. Our reviewsets the stage for similar genomewide inspection in the future on shared/distinct features of neurodegenerative diseases at the levels of cellular, proteomic or epigenomic signatures, and how these features may interact to determine the progression and treatment response of different diseases afflicting the same individual.

    • Author Affiliations



      1. Department of Integrative Biology and Physiology, University of California Los Angeles, Los Angeles 90095, CA, USA
      2. Department of Cardiology, Shandong Provincial Qianfoshan Hospital Affiliated to Shandong University, Jinan 250014, People’s Republic of China
      3. Systems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institute of Allergy and Infections Diseases, National Institutes of Health, Bethesda 20892, MD, USA
      4. Present address: Department of Computer Science and Engineering (CSE) and Initiative for Biological Systems Engineering (IBSE), Robert Bosch Centre for Data Science and Artificial Intelligence (RBC-DSAI), Indian Institute of Technology (IIT) Madras, Chennai 600 036, India
    • Dates

    • Supplementary Material

  • Journal of Genetics | News

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      Posted on July 25, 2019

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