IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v563y2018i7733d10.1038_s41586-018-0718-6.html
   My bibliography  Save this article

Somatic APP gene recombination in Alzheimer’s disease and normal neurons

Author

Listed:
  • Ming-Hsiang Lee

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Benjamin Siddoway

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Gwendolyn E. Kaeser

    (Sanford Burnham Prebys Medical Discovery Institute
    University of California, San Diego)

  • Igor Segota

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Richard Rivera

    (Sanford Burnham Prebys Medical Discovery Institute)

  • William J. Romanow

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Christine S. Liu

    (Sanford Burnham Prebys Medical Discovery Institute
    University of California, San Diego)

  • Chris Park

    (Sanford Burnham Prebys Medical Discovery Institute
    University of California, San Diego)

  • Grace Kennedy

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Tao Long

    (Sanford Burnham Prebys Medical Discovery Institute)

  • Jerold Chun

    (Sanford Burnham Prebys Medical Discovery Institute)

Abstract

The diversity and complexity of the human brain are widely assumed to be encoded within a constant genome. Somatic gene recombination, which changes germline DNA sequences to increase molecular diversity, could theoretically alter this code but has not been documented in the brain, to our knowledge. Here we describe recombination of the Alzheimer’s disease-related gene APP, which encodes amyloid precursor protein, in human neurons, occurring mosaically as thousands of variant ‘genomic cDNAs’ (gencDNAs). gencDNAs lacked introns and ranged from full-length cDNA copies of expressed, brain-specific RNA splice variants to myriad smaller forms that contained intra-exonic junctions, insertions, deletions, and/or single nucleotide variations. DNA in situ hybridization identified gencDNAs within single neurons that were distinct from wild-type loci and absent from non-neuronal cells. Mechanistic studies supported neuronal ‘retro-insertion’ of RNA to produce gencDNAs; this process involved transcription, DNA breaks, reverse transcriptase activity, and age. Neurons from individuals with sporadic Alzheimer’s disease showed increased gencDNA diversity, including eleven mutations known to be associated with familial Alzheimer’s disease that were absent from healthy neurons. Neuronal gene recombination may allow ‘recording’ of neural activity for selective ‘playback’ of preferred gene variants whose expression bypasses splicing; this has implications for cellular diversity, learning and memory, plasticity, and diseases of the human brain.

Suggested Citation

  • Ming-Hsiang Lee & Benjamin Siddoway & Gwendolyn E. Kaeser & Igor Segota & Richard Rivera & William J. Romanow & Christine S. Liu & Chris Park & Grace Kennedy & Tao Long & Jerold Chun, 2018. "Somatic APP gene recombination in Alzheimer’s disease and normal neurons," Nature, Nature, vol. 563(7733), pages 639-645, November.
  • Handle: RePEc:nat:nature:v:563:y:2018:i:7733:d:10.1038_s41586-018-0718-6
    DOI: 10.1038/s41586-018-0718-6
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41586-018-0718-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/s41586-018-0718-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Chen Sun & Kunal Kathuria & Sarah B. Emery & ByungJun Kim & Ian E. Burbulis & Joo Heon Shin & Daniel R. Weinberger & John V. Moran & Jeffrey M. Kidd & Ryan E. Mills & Michael J. McConnell, 2024. "Mapping recurrent mosaic copy number variation in human neurons," Nature Communications, Nature, vol. 15(1), pages 1-13, 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:nature:v:563:y:2018:i:7733:d:10.1038_s41586-018-0718-6. 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.