IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-36869-3.html
   My bibliography  Save this article

Two-photon fluorescence imaging and specifically biosensing of norepinephrine on a 100-ms timescale

Author

Listed:
  • Leiwen Mao

    (East China Normal University)

  • Yujie Han

    (East China Normal University)

  • Qi-Wei Zhang

    (East China Normal University)

  • Yang Tian

    (East China Normal University)

Abstract

Norepinephrine (NE) is a key neurotransmitter in the central nervous system of organisms; however, specifically tracking the transient NE dynamics with high spatiotemporal resolution in living systems remains a great challenge. Herein, we develop a small molecular fluorescent probe that can precisely anchor on neuronal cytomembranes and specifically respond to NE on a 100-ms timescale. A unique dual acceleration mechanism of molecular-folding and water-bridging is disclosed, which boosts the reaction kinetics by ˃105 and ˃103 times, respectively. Benefiting from its excellent spatiotemporal resolution, the probe is applied to monitor NE dynamics at the single-neuron level, thereby, successfully snapshotting the fast fluctuation of NE levels at neuronal cytomembranes within 2 s. Moreover, two-photon fluorescence imaging of acute brain tissue slices reveals a close correlation between downregulated NE levels and Alzheimer’s disease pathology as well as antioxidant therapy.

Suggested Citation

  • Leiwen Mao & Yujie Han & Qi-Wei Zhang & Yang Tian, 2023. "Two-photon fluorescence imaging and specifically biosensing of norepinephrine on a 100-ms timescale," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36869-3
    DOI: 10.1038/s41467-023-36869-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-36869-3
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-36869-3?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
    ---><---

    References listed on IDEAS

    as
    1. Vivien Marx, 2014. "A deep look at synaptic dynamics," Nature, Nature, vol. 515(7526), pages 293-297, November.
    2. Shabareesh Pidathala & Aditya Kumar Mallela & Deepthi Joseph & Aravind Penmatsa, 2021. "Structural basis of norepinephrine recognition and transport inhibition in neurotransmitter transporters," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    3. Jinxing Li & Yuxin Liu & Lei Yuan & Baibing Zhang & Estelle Spear Bishop & Kecheng Wang & Jing Tang & Yu-Qing Zheng & Wenhui Xu & Simiao Niu & Levent Beker & Thomas L. Li & Gan Chen & Modupeola Diyaol, 2022. "A tissue-like neurotransmitter sensor for the brain and gut," Nature, Nature, vol. 606(7912), pages 94-101, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tong Li & Zhidong Wei & Fei Jin & Yongjiu Yuan & Weiying Zheng & Lili Qian & Hongbo Wang & Lisha Hua & Juan Ma & Huanhuan Zhang & Huaduo Gu & Michael G. Irwin & Ting Wang & Steven Wang & Zuankai Wang , 2023. "Soft ferroelectret ultrasound receiver for targeted peripheral neuromodulation," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Martin Hjort & Abdelrazek H. Mousa & David Bliman & Muhammad Anwar Shameem & Karin Hellman & Amit Singh Yadav & Peter Ekström & Fredrik Ek & Roger Olsson, 2023. "In situ assembly of bioresorbable organic bioelectronics in the brain," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    3. Zhouheng Wang & Nanlin Shi & Yingchao Zhang & Ning Zheng & Haicheng Li & Yang Jiao & Jiahui Cheng & Yutong Wang & Xiaoqing Zhang & Ying Chen & Yihao Chen & Heling Wang & Tao Xie & Yijun Wang & Yinji M, 2023. "Conformal in-ear bioelectronics for visual and auditory brain-computer interfaces," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    4. Jung Min Lee & Young-Woo Pyo & Yeon Jun Kim & Jin Hee Hong & Yonghyeon Jo & Wonshik Choi & Dingchang Lin & Hong-Gyu Park, 2023. "The ultra-thin, minimally invasive surface electrode array NeuroWeb for probing neural activity," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Xianchi Zhou & Zhouyu Lu & Wenzhong Cao & Zihao Zhu & Yifeng Chen & Yanwen Ni & Zuolong Liu & Fan Jia & Yang Ye & Haijie Han & Ke Yao & Weifeng Liu & Youxiang Wang & Jian Ji & Peng Zhang, 2024. "Immunocompatible elastomer with increased resistance to the foreign body response," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    6. Kewang Nan & Kiwan Wong & Dengfeng Li & Binbin Ying & James C. McRae & Vivian R. Feig & Shubing Wang & Ningjie Du & Yuelong Liang & Qijiang Mao & Enjie Zhou & Yonglin Chen & Lei Sang & Kuanming Yao & , 2024. "An ingestible, battery-free, tissue-adhering robotic interface for non-invasive and chronic electrostimulation of the gut," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    7. Sizhe Huang & Xinyue Liu & Shaoting Lin & Christopher Glynn & Kayla Felix & Atharva Sahasrabudhe & Collin Maley & Jingyi Xu & Weixuan Chen & Eunji Hong & Alfred J. Crosby & Qianbin Wang & Siyuan Rao, 2024. "Control of polymers’ amorphous-crystalline transition enables miniaturization and multifunctional integration for hydrogel bioelectronics," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    8. Xinjian Xie & Zhonggang Xu & Xin Yu & Hong Jiang & Hongjiao Li & Wenqian Feng, 2023. "Liquid-in-liquid printing of 3D and mechanically tunable conductive hydrogels," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    9. Xiankui Xu & Dawei Xu & Shen Lu & Xue Zhou & Shenbo Yang & Zhonghai Zhang, 2024. "Atomically dispersed recognition unit for selective in vivo photoelectrochemical medicine detection," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    10. Young-Geun Park & Yong Won Kwon & Chin Su Koh & Enji Kim & Dong Ha Lee & Sumin Kim & Jongmin Mun & Yeon-Mi Hong & Sanghoon Lee & Ju-Young Kim & Jae-Hyun Lee & Hyun Ho Jung & Jinwoo Cheon & Jin Woo Cha, 2024. "In-vivo integration of soft neural probes through high-resolution printing of liquid electronics on the cranium," Nature Communications, Nature, vol. 15(1), pages 1-15, 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:14:y:2023:i:1:d:10.1038_s41467-023-36869-3. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.