IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-35200-w.html
   My bibliography  Save this article

Next generation genetically encoded fluorescent sensors for serotonin

Author

Listed:
  • Martin Kubitschke

    (University of Bremen)

  • Monika Müller

    (German Center for Neurodegenerative Diseases (DZNE))

  • Lutz Wallhorn

    (University of Bremen)

  • Mauro Pulin

    (Center for Molecular Neurobiology (ZMNH), UKE)

  • Manuel Mittag

    (German Center for Neurodegenerative Diseases (DZNE))

  • Stefan Pollok

    (Ruhr University Bochum)

  • Tim Ziebarth

    (Ruhr University Bochum)

  • Svenja Bremshey

    (University of Bremen)

  • Jill Gerdey

    (University of Bremen)

  • Kristin Carolin Claussen

    (University of Bremen)

  • Kim Renken

    (University of Bremen)

  • Juliana Groß

    (University of Bremen)

  • Pascal Gneiße

    (University of Bremen)

  • Niklas Meyer

    (University of Bremen)

  • J. Simon Wiegert

    (Center for Molecular Neurobiology (ZMNH), UKE
    University of Heidelberg, Mannheim)

  • Andreas Reiner

    (Ruhr University Bochum)

  • Martin Fuhrmann

    (German Center for Neurodegenerative Diseases (DZNE))

  • Olivia Andrea Masseck

    (University of Bremen)

Abstract

We developed a family of genetically encoded serotonin (5-HT) sensors (sDarken) on the basis of the native 5-HT1A receptor and circularly permuted GFP. sDarken 5-HT sensors are bright in the unbound state and diminish their fluorescence upon binding of 5-HT. Sensor variants with different affinities for serotonin were engineered to increase the versatility in imaging of serotonin dynamics. Experiments in vitro and in vivo showed the feasibility of imaging serotonin dynamics with high temporal and spatial resolution. As demonstrated here, the designed sensors show excellent membrane expression, have high specificity and a superior signal-to-noise ratio, detect the endogenous release of serotonin and are suitable for two-photon in vivo imaging.

Suggested Citation

  • Martin Kubitschke & Monika Müller & Lutz Wallhorn & Mauro Pulin & Manuel Mittag & Stefan Pollok & Tim Ziebarth & Svenja Bremshey & Jill Gerdey & Kristin Carolin Claussen & Kim Renken & Juliana Groß & , 2022. "Next generation genetically encoded fluorescent sensors for serotonin," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-35200-w
    DOI: 10.1038/s41467-022-35200-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-35200-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-35200-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
    ---><---

    References listed on IDEAS

    as
    1. Melissa R. Warden & Aslihan Selimbeyoglu & Julie J. Mirzabekov & Maisie Lo & Kimberly R. Thompson & Sung-Yon Kim & Avishek Adhikari & Kay M. Tye & Loren M. Frank & Karl Deisseroth, 2012. "A prefrontal cortex–brainstem neuronal projection that controls response to behavioural challenge," Nature, Nature, vol. 492(7429), pages 428-432, December.
    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. Can Tao & Guang-Wei Zhang & Wen-Jian Sun & Junxiang J. Huang & Li I. Zhang & Huizhong Whit Tao, 2024. "Excitation-inhibition imbalance in medial preoptic area circuits underlies chronic stress-induced depression-like states," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    2. Qingtao Sun & Jianping Zhang & Anan Li & Mei Yao & Guangcai Liu & Siqi Chen & Yue Luo & Zhi Wang & Hui Gong & Xiangning Li & Qingming Luo, 2022. "Acetylcholine deficiency disrupts extratelencephalic projection neurons in the prefrontal cortex in a mouse model of Alzheimer’s disease," Nature Communications, Nature, vol. 13(1), pages 1-22, 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:13:y:2022:i:1:d:10.1038_s41467-022-35200-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.

    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.