IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-16444-w.html
   My bibliography  Save this article

High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing

Author

Listed:
  • Yunbo Qiao

    (Guangzhou University)

  • Chao Ren

    (Beijing Institute of Radiation Medicine)

  • Shisheng Huang

    (ShanghaiTech University
    University of Chinese Academy of Sciences)

  • Jie Yuan

    (Beijing Institute of Radiation Medicine)

  • Xingchen Liu

    (University of Chinese Academy of Sciences
    Chinese Academy of Sciences)

  • Jiao Fan

    (2nd Medical Center of Chinese PLA General Hospital)

  • Jianxiang Lin

    (Guangzhou University)

  • Susu Wu

    (Guangzhou University)

  • Qiuzhen Chen

    (Beijing Institute of Radiation Medicine
    University of South China)

  • Xiaochen Bo

    (Beijing Institute of Radiation Medicine)

  • Xiangyang Li

    (ShanghaiTech University
    University of Chinese Academy of Sciences)

  • Xingxu Huang

    (ShanghaiTech University
    University of Chinese Academy of Sciences)

  • Zhen Liu

    (Chinese Academy of Sciences)

  • Wenjie Shu

    (Beijing Institute of Radiation Medicine)

Abstract

The transcriptome of the preimplantation mouse embryo has been previously annotated by short-read sequencing, with limited coverage and accuracy. Here we utilize a low-cell number transcriptome based on the Smart-seq2 method to perform long-read sequencing. Our analysis describes additional novel transcripts and complexity of the preimplantation transcriptome, identifying 2280 potential novel transcripts from previously unannotated loci and 6289 novel splicing isoforms from previously annotated genes. Notably, these novel transcripts and isoforms with transcription start sites are enriched for an active promoter modification, H3K4me3. Moreover, we generate a more complete and precise transcriptome by combining long-read and short-read data during early embryogenesis. Based on this approach, we identify a previously undescribed isoform of Kdm4dl with a modified mRNA reading frame and a novel noncoding gene designated XLOC_004958. Depletion of Kdm4dl or XLOC_004958 led to abnormal blastocyst development. Thus, our data provide a high-resolution and more precise transcriptome during preimplantation mouse embryogenesis.

Suggested Citation

  • Yunbo Qiao & Chao Ren & Shisheng Huang & Jie Yuan & Xingchen Liu & Jiao Fan & Jianxiang Lin & Susu Wu & Qiuzhen Chen & Xiaochen Bo & Xiangyang Li & Xingxu Huang & Zhen Liu & Wenjie Shu, 2020. "High-resolution annotation of the mouse preimplantation embryo transcriptome using long-read sequencing," Nature Communications, Nature, vol. 11(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-16444-w
    DOI: 10.1038/s41467-020-16444-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-16444-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-16444-w?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. Denis Torre & Nancy J. Francoeur & Yael Kalma & Ilana Gross Carmel & Betsaida S. Melo & Gintaras Deikus & Kimaada Allette & Ron Flohr & Maya Fridrikh & Konstantinos Vlachos & Kent Madrid & Hardik Shah, 2023. "Isoform-resolved transcriptome of the human preimplantation embryo," Nature Communications, Nature, vol. 14(1), pages 1-23, 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:11:y:2020:i:1:d:10.1038_s41467-020-16444-w. 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.