4.8 Article

Variational autoencoding of gene landscapes during mouse CNS development uncovers layered roles of Polycomb Repressor Complex 2

Journal

NUCLEIC ACIDS RESEARCH
Volume 50, Issue 3, Pages 1280-1296

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/nar/gkac006

Keywords

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Funding

  1. Swedish Research Council [621-2013-5258]
  2. Knut and Alice Wallenberg Foundation [KAW2011.0165, KAW2012.0101]
  3. Swedish Cancer Foundation [140780, 150663]
  4. University of Queensland
  5. Australian Government Research Training Program

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A prominent difference between the brain and spinal cord is their size, with the brain being larger than the spinal cord. The Polycomb Repressor Complex 2 (PRC2) plays a crucial role in promoting the expansion of the anterior central nervous system (CNS) and regulates genes involved in proliferation and immune response. By integrating transcriptomic and epigenetic data, this study reveals the distinct regulatory mechanisms of PRC2 on gene cohorts driving anterior CNS expansion.
A prominent aspect of most, if not all, central nervous systems (CNSs) is that anterior regions (brain) are larger than posterior ones (spinal cord). Studies in Drosophila and mouse have revealed that Polycomb Repressor Complex 2 (PRC2), a protein complex responsible for applying key repressive histone modifications, acts by several mechanisms to promote anterior CNS expansion. However, it is unclear what the full spectrum of PRC2 action is during embryonic CNS development and how PRC2 intersects with the epigenetic landscape. We removed PRC2 function from the developing mouse CNS, by mutating the key gene Eed, and generated spatio-temporal transcriptomic data. To decode the role of PRC2, we developed a method that incorporates standard statistical analyses with probabilistic deep learning to integrate the transcriptomic response to PRC2 inactivation with epigenetic data. This multi-variate analysis corroborates the central involvement of PRC2 in anterior CNS expansion, and also identifies several unanticipated cohorts of genes, such as proliferation and immune response genes. Furthermore, the analysis reveals specific profiles of regulation via PRC2 upon these gene cohorts. These findings uncover a differential logic for the role of PRC2 upon functionally distinct gene cohorts that drive CNS anterior expansion. To support the analysis of emerging multi-modal datasets, we provide a novel bioinformatics package that integrates transcriptomic and epigenetic datasets to identify regulatory underpinnings of heterogeneous biological processes.

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