IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-63964-4.html
   My bibliography  Save this article

Sensitive, high-throughput, metabolic analysis by molecular sensors on the membrane surface of mother yeast cells

Author

Listed:
  • Wenxin Jiang

    (City University of Hong Kong)

  • Huanmin Du

    (City University of Hong Kong)

  • Xingjie Huang

    (City University of Hong Kong)

  • Luke P. Lee

    (Brigham and Women’s Hospital
    Berkeley
    Berkeley
    Sungkyunkwan University)

  • Chia-Hung Chen

    (City University of Hong Kong
    City University of Hong Kong)

Abstract

Due to its genetic similarity to humans, yeast serves as a vital model organism in life sciences and medicine, allowing for the study of crucial biological processes such as cell division and metabolism for drug development. However, current tools for measuring yeast extracellular secretion lack the sensitivity, throughput, and speed required for large-scale metabolic analysis. Here, we present an ultrasensitive, large-scale analysis of yeast extracellular secretion using molecular sensors on the membrane surface of mother yeast cells. These sensors remain selectively confined to mother yeast cells during cell division, enabling high-sensitivity detection, high-throughput screening and rapid single-yeast assays. Their detection limit is 100 nM, and they can screen over 107 single cells per run. We achieve a > 30-fold speed boost compared to conventional droplet-based screening, allowing us to identify the top 0.05% of secretory strains from 2.2 × 106 variants within just 12 minutes. The platform offers potential for large-scale single-yeast metabolic analysis and bio-fabrication.

Suggested Citation

  • Wenxin Jiang & Huanmin Du & Xingjie Huang & Luke P. Lee & Chia-Hung Chen, 2025. "Sensitive, high-throughput, metabolic analysis by molecular sensors on the membrane surface of mother yeast cells," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-63964-4
    DOI: 10.1038/s41467-025-63964-4
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-63964-4
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-63964-4?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
    ---><---

    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:16:y:2025:i:1:d:10.1038_s41467-025-63964-4. 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.