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    Home > Biochemistry News > Biotechnology News > Li Yulong's team from the School of Life Sciences was invited to write a research review on new technologies for neurotransmitter detection in "Nature Review Neuroscience"

    Li Yulong's team from the School of Life Sciences was invited to write a research review on new technologies for neurotransmitter detection in "Nature Review Neuroscience"

    • Last Update: 2022-05-16
    • Source: Internet
    • Author: User
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    On March 31, 2022, the journal Nature Reviews Neuroscience published online a review of research by Li Yulong's team at Peking University on the frontiers of neurotransmitter and neuromodulator detection technology, entitled "Pushing the Frontiers: Tools for Monitoring Neurotransmitters and Neuromodulators"


    In the nervous system, neurotransmitters and neuromodulators are the mediators of communication between cells and have extensive and important regulatory roles


    This review begins by reviewing the strengths and limitations of traditional non-genetically encoded detection tools


    Compared with traditional methods, fluorescence imaging methods usually have higher temporal and spatial resolution and less invasiveness, and are more suitable for measuring the dynamic changes of neurotransmitters; genetically encoded fluorescent probes can not only be specific in specific cell types.


    Figure 1.


    In terms of application, it is mentioned that suitable tools can be selected according to the research needs and the characteristics of probes, and the application of fluorescent probes for genetically encoded neurotransmitters is exemplified


    Figure 2.


    This review also prospected the future development and application of neurotransmitter probes


    The first author of the research review is Dr.


    It is worth mentioning that on March 22, 2022, Li Yulong's team and LinTian's team from UC Davis were invited to co-author a paper entitled "Fluorescence Imaging of Neural Activity, Neurochemical Dynamics, and Drug-Specific Recept or Conformation with Genetically Encoded Sensors" research review



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