IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v12y2021i1d10.1038_s41467-021-27249-w.html
   My bibliography  Save this article

A turquoise fluorescence lifetime-based biosensor for quantitative imaging of intracellular calcium

Author

Listed:
  • Franka H. Linden

    (University of Amsterdam)

  • Eike K. Mahlandt

    (University of Amsterdam)

  • Janine J. G. Arts

    (University of Amsterdam
    University of Amsterdam)

  • Joep Beumer

    (Royal Netherlands Academy of Arts and Sciences and University Medical Center)

  • Jens Puschhof

    (Royal Netherlands Academy of Arts and Sciences and University Medical Center)

  • Saskia M. A. Man

    (University of Amsterdam)

  • Anna O. Chertkova

    (University of Amsterdam)

  • Bas Ponsioen

    (University Medical Centre Utrecht)

  • Hans Clevers

    (Royal Netherlands Academy of Arts and Sciences and University Medical Center)

  • Jaap D. Buul

    (University of Amsterdam
    University of Amsterdam)

  • Marten Postma

    (University of Amsterdam)

  • Theodorus W. J. Gadella

    (University of Amsterdam)

  • Joachim Goedhart

    (University of Amsterdam)

Abstract

The most successful genetically encoded calcium indicators (GECIs) employ an intensity or ratiometric readout. Despite a large calcium-dependent change in fluorescence intensity, the quantification of calcium concentrations with GECIs is problematic, which is further complicated by the sensitivity of all GECIs to changes in the pH in the biological range. Here, we report on a sensing strategy in which a conformational change directly modifies the fluorescence quantum yield and fluorescence lifetime of a circular permutated turquoise fluorescent protein. The fluorescence lifetime is an absolute parameter that enables straightforward quantification, eliminating intensity-related artifacts. An engineering strategy that optimizes lifetime contrast led to a biosensor that shows a 3-fold change in the calcium-dependent quantum yield and a fluorescence lifetime change of 1.3 ns. We dub the biosensor Turquoise Calcium Fluorescence LIfeTime Sensor (Tq-Ca-FLITS). The response of the calcium sensor is insensitive to pH between 6.2–9. As a result, Tq-Ca-FLITS enables robust measurements of intracellular calcium concentrations by fluorescence lifetime imaging. We demonstrate quantitative imaging of calcium concentrations with the turquoise GECI in single endothelial cells and human-derived organoids.

Suggested Citation

  • Franka H. Linden & Eike K. Mahlandt & Janine J. G. Arts & Joep Beumer & Jens Puschhof & Saskia M. A. Man & Anna O. Chertkova & Bas Ponsioen & Hans Clevers & Jaap D. Buul & Marten Postma & Theodorus W., 2021. "A turquoise fluorescence lifetime-based biosensor for quantitative imaging of intracellular calcium," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27249-w
    DOI: 10.1038/s41467-021-27249-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-021-27249-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-021-27249-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. Niels Heemskerk & Lilian Schimmel & Chantal Oort & Jos van Rijssel & Taofei Yin & Bin Ma & Jakobus van Unen & Bettina Pitter & Stephan Huveneers & Joachim Goedhart & Yi Wu & Eloi Montanez & Abigail Wo, 2016. "F-actin-rich contractile endothelial pores prevent vascular leakage during leukocyte diapedesis through local RhoA signalling," Nature Communications, Nature, vol. 7(1), pages 1-17, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dorothy Koveal & Paul C. Rosen & Dylan J. Meyer & Carlos Manlio Díaz-García & Yongcheng Wang & Li-Heng Cai & Peter J. Chou & David A. Weitz & Gary Yellen, 2022. "A high-throughput multiparameter screen for accelerated development and optimization of soluble genetically encoded fluorescent biosensors," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    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.

      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:12:y:2021:i:1:d:10.1038_s41467-021-27249-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.