Click-assembled, oxygen-sensing nanoconjugates for depth-resolved, near-infrared imaging in a 3D cancer model

Alexander J Nichols1, Emmanuel Roussakis, Oliver J Klein

  • 1Wellman Center for Photomedicine, Massachusetts General Hospital, CNY 149-3210, 13th Street, Charlestown, MA 02129 (USA); Harvard University Program in Biophysics, Building C2 Room 112, 240 Longwood Avenue, Boston, MA 02115 (USA); Harvard-MIT Division of Health Sciences and Technology, 77 Massachusetts Avenue E25-519, Cambridge, MA 02139 (USA).

Insights

New click-assembled oxygen-sensing (CAOS) nanoconjugates can penetrate deep into 3D cancer models to map oxygen levels. This tool addresses limitations of current methods for studying hypoxia in drug-resistant tumors.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Cancer Research

Background:

  • Hypoxia, or low oxygen, is a key factor in drug-resistant cancer development.
  • Current optical oxygen mapping tools struggle to penetrate poorly perfused tumor regions.
  • There is a need for nonperturbative tools to study tissue oxygenation.

Purpose of the Study:

  • To develop and demonstrate a novel click-assembled oxygen-sensing (CAOS) nanoconjugate.
  • To evaluate the CAOS nanoconjugate's ability to penetrate and sense oxygen in a 3D cancer model.
  • To establish a modular platform for depth-resolved oxygen imaging in tissues.

Main Methods:

  • Synthesis of CAOS nanoconjugates via sequential click-based ligation of poly(amidoamine)-like subunits.
  • Utilizing near-infrared confocal phosphorescence microscopy for imaging.
  • Testing in an in vitro 3D spheroid cancer model.

Main Results:

  • CAOS nanoconjugates demonstrated rapid assembly and modularity.
  • Nanoconjugates successfully penetrated hundreds of micrometers into 3D spheroids within hours.
  • The probes accurately detected oxygen level changes throughout the tumor model.

Conclusions:

  • CAOS nanoconjugates offer a promising solution for deep-tissue oxygen sensing.
  • The modular platform is adaptable for various sensors and tissue models.
  • This technology can advance the study of hypoxia in drug-resistant cancers.

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