Multiscale Photoacoustic Tomography of a Genetically Encoded Near-Infrared FRET Biosensor.

Adv Sci (Weinh)

Department of Anatomy and Structural Biology and Gruss-Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.

Published: November 2021

AI Article Synopsis

  • Photoacoustic tomography (PAT) combined with genetically encoded near-infrared probes allows for high-resolution imaging of specific cell populations in living tissues, but the study of cellular dynamics has been limited due to a lack of suitable probes.
  • The authors introduce a novel near-infrared FRET biosensor using miRFP670 and iRFP720 fluorescent proteins, enabling real-time imaging of biological processes in deep tissues.
  • They successfully demonstrated this technique by monitoring cell apoptosis in single cells within a mouse ear tumor and deep brain tumors, achieving impressive spatial resolutions of ≈3 µm and ≈150 µm, respectively, making significant strides in dynamic biological imaging in vivo.

Article Abstract

Photoacoustic tomography (PAT) with genetically encoded near-infrared probes enables visualization of specific cell populations in vivo at high resolution deeply in biological tissues. However, because of a lack of proper probes, PAT of cellular dynamics remains unexplored. Here, the authors report a near-infrared Forster resonance energy transfer (FRET) biosensor based on a miRFP670-iRFP720 pair of the near-infrared fluorescent proteins, which enables dynamic functional imaging of active biological processes in deep tissues. By photoacoustically detecting the changes in the optical absorption of the miRFP670 FRET-donor, they monitored cell apoptosis in deep tissue at high spatiotemporal resolution using PAT. Specifically, they detected apoptosis in single cells at a resolution of ≈3 µm in a mouse ear tumor, and in deep brain tumors (>3 mm beneath the scalp) of living mice at a spatial resolution of ≈150 µm with a 20 Hz frame rate. These results open the way for high-resolution photoacoustic imaging of dynamic biological processes in deep tissues using NIR biosensors and PAT.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8564460PMC
http://dx.doi.org/10.1002/advs.202102474DOI Listing

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