Nanoparticle-Based Fluoroionophore for Analysis of Potassium Ion Dynamics in 3D Tissue Models and In Vivo

Bernhard Müller, Alexander V. Zhdanov, Sergey Borisov, Tara Foley, Irina A. Okkelman, Vassiliy Tsytsarev, Qinggong Tang, Reha S. Erzurumlu, Yu Chen, Haijiang Zhang, Claudio Toncelli, Ingo Klimant, Dmitri B. Papkovsky, Ruslan I Dmitriev*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The imaging of real-time fluxes of K+ ions in live cell with high dynamic range (5–150 × 10−3m) is of paramount importance for neuroscience and physiology of the gastrointestinal tract, kidney, and other tissues. In particular, the research on high-performance deep-red fluorescent nanoparticle-based biosensors is highly anticipated. It is found that boron-dipyrromethene (BODIPY)-based K+-sensitive fluoroionophore FI3 encapsulated in cationic polymer RL100 nanoparticles displays unusually strong efficiency in staining of broad spectrum of cell models, such as primary neurons and intestinal organoids. Using comparison of brightness, photostability, and fluorescence lifetime imaging microscopy, it is confirmed that FI3 nanoparticles display distinctively superior intracellular staining compared to the free dye. FI3 nanoparticles in real-time live cell imaging are evaluated and it is found highly useful for monitoring intra- and extracellular K+ dynamics in cultured neurons. Proof-of-concept in vivo brain imaging confirms applicability of the biosensor for visualization of epileptic seizures. Collectively, these data make fluoroionophore FI3 a versatile cross-platform fluorescent biosensor, broadly compatible with diverse experimental models, and crown-ether-based polymer nanoparticles can provide a new venue for the design of efficient fluorescent probes
Original languageEnglish
Article number1704598
JournalAdvanced Functional Materials
Volume28
Issue number9
DOIs
Publication statusPublished - 2018

Keywords

  • Sensor
  • Bionanotechnology

Fingerprint

Dive into the research topics of 'Nanoparticle-Based Fluoroionophore for Analysis of Potassium Ion Dynamics in 3D Tissue Models and In Vivo'. Together they form a unique fingerprint.

Cite this