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Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature

Author

Listed:
  • Eloise Berson

    (Stanford University
    Stanford University
    Stanford University)

  • Anjali Sreenivas

    (Stanford University
    Stanford University)

  • Thanaphong Phongpreecha

    (Stanford University
    Stanford University
    Stanford University)

  • Amalia Perna

    (Stanford University)

  • Fiorella C. Grandi

    (Gladstone Institute of Neurological Disease
    Gladstone Institute of Data Science and Biotechnology
    University of California San Francisco)

  • Lei Xue

    (Stanford University
    Stanford University
    Stanford University)

  • Neal G. Ravindra

    (Stanford University
    Stanford University
    Stanford University)

  • Neelufar Payrovnaziri

    (Stanford University
    Stanford University
    Stanford University)

  • Samson Mataraso

    (Stanford University
    Stanford University
    Stanford University)

  • Yeasul Kim

    (Stanford University
    Stanford University
    Stanford University)

  • Camilo Espinosa

    (Stanford University
    Stanford University
    Stanford University)

  • Alan L. Chang

    (Stanford University
    Stanford University
    Stanford University)

  • Martin Becker

    (Stanford University
    Stanford University
    Stanford University)

  • Kathleen S. Montine

    (Stanford University)

  • Edward J. Fox

    (Stanford University)

  • Howard Y. Chang

    (Stanford University School of Medicine
    Stanford University School of Medicine)

  • M. Ryan Corces

    (Gladstone Institute of Neurological Disease
    Gladstone Institute of Data Science and Biotechnology
    University of California San Francisco)

  • Nima Aghaeepour

    (Stanford University
    Stanford University
    Stanford University)

  • Thomas J. Montine

    (Stanford University)

Abstract

Assay for Transposase Accessible Chromatin by sequencing (ATAC-seq) accurately depicts the chromatin regulatory state and altered mechanisms guiding gene expression in disease. However, bulk sequencing entangles information from different cell types and obscures cellular heterogeneity. To address this, we developed Cellformer, a deep learning method that deconvolutes bulk ATAC-seq into cell type-specific expression across the whole genome. Cellformer enables cost-effective cell type-specific open chromatin profiling in large cohorts. Applied to 191 bulk samples from 3 brain regions, Cellformer identifies cell type-specific gene regulatory mechanisms involved in resilience to Alzheimer’s disease, an uncommon group of cognitively healthy individuals that harbor a high pathological load of Alzheimer’s disease. Cell type-resolved chromatin profiling unveils cell type-specific pathways and nominates potential epigenetic mediators underlying resilience that may illuminate therapeutic opportunities to limit the cognitive impact of the disease. Cellformer is freely available to facilitate future investigations using high-throughput bulk ATAC-seq data.

Suggested Citation

  • Eloise Berson & Anjali Sreenivas & Thanaphong Phongpreecha & Amalia Perna & Fiorella C. Grandi & Lei Xue & Neal G. Ravindra & Neelufar Payrovnaziri & Samson Mataraso & Yeasul Kim & Camilo Espinosa & A, 2023. "Whole genome deconvolution unveils Alzheimer’s resilient epigenetic signature," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40611-4
    DOI: 10.1038/s41467-023-40611-4
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    References listed on IDEAS

    as
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