Paper
2 March 2015 Multi-parametric imaging of tumor spheroids with ultra-bright and tunable nanoparticle O2 probes
Ruslan I. Dmitriev, Sergey M. Borisov, James Jenkins, Dmitri B. Papkovsky
Author Affiliations +
Abstract
Multi-modal probes allow for flexible choice of imaging equipment when performing quenched-phosphorescence O2 measurements: one- or two-photon, PLIM or intensity-based ratiometric read-outs. Spectral and temporal (e.g. FLIMPLIM) discrimination can be used to image O2 together with pH, Ca2+, mitochondrial membrane potential, cell death markers or cell/organelle specific markers. However, the main challenge of existing nanoparticle probes is their limited diffusion across thick (> 20-50 μm) 3D cell models such as tumor spheroids. Here, we present new class of polymeric nanoparticle probes having tunable size, charge, cell-penetrating ability, and reporter dyes. Being spectrally similar to the recently described MM2, PA2 and other O2 probes, they are 5-10 times brighter, demonstrate improved ratiometric response and their surface chemistry can be easily modified. With cultures of 2D and 3D cell models (fibroblasts, PC12 aggregates, HCT116 human colon cancer spheroids) we found cell-specific staining by these probes. However, the efficient staining of model of interest can be tuned by changing number of positive and negative surface groups at nanoparticle, to allow most efficient loading. We also demonstrate how real-time monitoring of oxygenation can be used to select optimal spheroid production with low variability in size and high cell viability.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ruslan I. Dmitriev, Sergey M. Borisov, James Jenkins, and Dmitri B. Papkovsky "Multi-parametric imaging of tumor spheroids with ultra-bright and tunable nanoparticle O2 probes", Proc. SPIE 9328, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIII, 932806 (2 March 2015); https://doi.org/10.1117/12.2079604
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Cited by 9 scholarly publications.
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KEYWORDS
Oxygen

3D modeling

Nanoparticles

Tumors

Cell death

Phosphorescence

Tissues

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