IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v10y2019i1d10.1038_s41467-019-13144-y.html
   My bibliography  Save this article

The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease

Author

Listed:
  • Qian Wang

    (Department of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai
    Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

  • Yuanxi Zhang

    (Department of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai)

  • Minghui Wang

    (Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

  • Won-Min Song

    (Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

  • Qi Shen

    (Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

  • Andrew McKenzie

    (Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

  • Insup Choi

    (Department of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai)

  • Xianxiao Zhou

    (Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

  • Ping-Yue Pan

    (Department of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai)

  • Zhenyu Yue

    (Department of Neurology and Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai)

  • Bin Zhang

    (Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
    Mount Sinai Center for Transformative Disease Modeling, Icahn School of Medicine at Mount Sinai
    Icahn Institute of Genomics and Multi-scale Biology, Icahn School of Medicine at Mount Sinai)

Abstract

Genetic and genomic studies have advanced our knowledge of inherited Parkinson’s disease (PD), however, the etiology and pathophysiology of idiopathic PD remain unclear. Herein, we perform a meta-analysis of 8 PD postmortem brain transcriptome studies by employing a multiscale network biology approach to delineate the gene-gene regulatory structures in the substantia nigra and determine key regulators of the PD transcriptomic networks. We identify STMN2, which encodes a stathmin family protein and is down-regulated in PD brains, as a key regulator functionally connected to known PD risk genes. Our network analysis predicts a function of human STMN2 in synaptic trafficking, which is validated in Stmn2-knockdown mouse dopaminergic neurons. Stmn2 reduction in the mouse midbrain causes dopaminergic neuron degeneration, phosphorylated α-synuclein elevation, and locomotor deficits. Our integrative analysis not only begins to elucidate the global landscape of PD transcriptomic networks but also pinpoints potential key regulators of PD pathogenic pathways.

Suggested Citation

  • Qian Wang & Yuanxi Zhang & Minghui Wang & Won-Min Song & Qi Shen & Andrew McKenzie & Insup Choi & Xianxiao Zhou & Ping-Yue Pan & Zhenyu Yue & Bin Zhang, 2019. "The landscape of multiscale transcriptomic networks and key regulators in Parkinson’s disease," Nature Communications, Nature, vol. 10(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13144-y
    DOI: 10.1038/s41467-019-13144-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-019-13144-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-019-13144-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sebastian Schmidt & Malte D. Luecken & Dietrich Trümbach & Sina Hembach & Kristina M. Niedermeier & Nicole Wenck & Klaus Pflügler & Constantin Stautner & Anika Böttcher & Heiko Lickert & Ciro Ramirez-, 2022. "Primary cilia and SHH signaling impairments in human and mouse models of Parkinson’s disease," Nature Communications, Nature, vol. 13(1), pages 1-25, December.
    2. Stergios Tsartsalis & Hannah Sleven & Nurun Fancy & Frank Wessely & Amy M. Smith & Nanet Willumsen & To Ka Dorcas Cheung & Michal J. Rokicki & Vicky Chau & Eseoghene Ifie & Combiz Khozoie & Olaf Ansor, 2024. "A single nuclear transcriptomic characterisation of mechanisms responsible for impaired angiogenesis and blood-brain barrier function in Alzheimer’s disease," Nature Communications, Nature, vol. 15(1), pages 1-19, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13144-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.