High-quality sika deer omics data and integrative analysis reveal genic and cellular regulation of antler regeneration

  1. Wen Wang7,8
  1. 1 Northwestern Polytechnical University;
  2. 2 Academy of Mathematics and Systems Science, Chinese Academy of Sciences;
  3. 3 Honghui Hospital, Xi'an Jiaotong University, Shaanxi Key Laboratory of Spine Bionic Treatment;
  4. 4 Kunming Institute of Zoology, Chinese Academy of Sciences;
  5. 5 Changchun Sci-Tech University;
  6. 6 Academy of Mathematics and Systems Science, Chinese Academy of Sciences.;
  7. 7 Northwestern Polytechnical University, Kunming Institute of Zoology, Chinese Academy of Sciences
  • * Corresponding author; email: wenwang{at}nwpu.edu.cn
  • Abstract

    Antler is the only organ that can fully regenerate annually in mammals. However, the regulatory pattern and mechanism of gene expression and cell differentiation during this process remain largely unknown. Here, we obtain comprehensive assembly and gene annotation of the sika deer (Cervus nippon) genome. Together with large-scale chromatin accessibility and gene expression data, we construct gene regulatory networks involved in antler regeneration, identifying four transcription factors, MYC, KLF4, NFE2L2, and JDP2 with high regulatory activity across whole regeneration process. Comparative studies and luciferase reporter assay suggest the MYC expression driven by a cervid-specific regulatory element might be important for antler regenerative ability. We further develop a model called cTOP which integrates single-cell data with bulk regulatory networks and find PRDM1, FOSL1, BACH1, and NFATC1 as potential pivotal factors in antler stem cell activation and osteogenic differentiation. Additionally, we uncover interactions within and between cell programs and pathways during the regeneration process. These findings provide insights into the gene and cell regulatory mechanisms of antler regeneration, particularly in stem cell activation and differentiation.

    • Received April 7, 2024.
    • Accepted October 28, 2024.

    This manuscript is Open Access.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution-NonCommercial 4.0 International license), as described at http://creativecommons.org/licenses/by-nc/4.0/.

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    1. Genome Res. gr.279448.124 Published by Cold Spring Harbor Laboratory Press

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