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Highly efficient and robust π-FISH rainbow for multiplexed in situ detection of diverse biomolecules

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  • Yingfeng Tao

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Xiaoliu Zhou

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Leqiang Sun

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Da Lin

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Huaiyuan Cai

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Xi Chen

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Wei Zhou

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Bing Yang

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Zhe Hu

    (Huazhong Agricultural University)

  • Jing Yu

    (Huazhong University of Science and Technology)

  • Jing Zhang

    (Huazhong University of Science and Technology)

  • Xiaoqing Yang

    (Hospital of Huazhong Agricultural University)

  • Fang Yang

    (Huazhong Agricultural University)

  • Bang Shen

    (Huazhong Agricultural University
    Huazhong Agricultural University
    Key Laboratory of Preventive Medicine in Hubei Province)

  • Wenbao Qi

    (South China Agricultural University
    African Swine Fever Regional Laboratory of China)

  • Zhenfang Fu

    (University of Georgia)

  • Jinxia Dai

    (Huazhong Agricultural University
    Huazhong Agricultural University)

  • Gang Cao

    (Huazhong Agricultural University
    Huazhong Agricultural University
    Huazhong Agricultural University)

Abstract

In the unprecedented single-cell sequencing and spatial multiomics era of biology, fluorescence in situ hybridization (FISH) technologies with higher sensitivity and robustness, especially for detecting short RNAs and other biomolecules, are greatly desired. Here, we develop the robust multiplex π-FISH rainbow method to detect diverse biomolecules (DNA, RNA, proteins, and neurotransmitters) individually or simultaneously with high efficiency. This versatile method is successfully applied to detect gene expression in different species, from microorganisms to plants and animals. Furthermore, we delineate the landscape of diverse neuron subclusters by decoding the spatial distribution of 21 marker genes via only two rounds of hybridization. Significantly, we combine π-FISH rainbow with hybridization chain reaction to develop π-FISH+ technology for short nucleic acid fragments, such as microRNA and prostate cancer anti-androgen therapy-resistant marker ARV7 splicing variant in circulating tumour cells from patients. Our study provides a robust biomolecule in situ detection technology for spatial multiomics investigation and clinical diagnosis.

Suggested Citation

  • Yingfeng Tao & Xiaoliu Zhou & Leqiang Sun & Da Lin & Huaiyuan Cai & Xi Chen & Wei Zhou & Bing Yang & Zhe Hu & Jing Yu & Jing Zhang & Xiaoqing Yang & Fang Yang & Bang Shen & Wenbao Qi & Zhenfang Fu & J, 2023. "Highly efficient and robust π-FISH rainbow for multiplexed in situ detection of diverse biomolecules," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36137-4
    DOI: 10.1038/s41467-023-36137-4
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