In vivo quantitative FRET small animal imaging: Intensity versus lifetime-based FRET.


Journal

Biophysical reports
ISSN: 2667-0747
Titre abrégé: Biophys Rep (N Y)
Pays: United States
ID NLM: 9918266001106676

Informations de publication

Date de publication:
14 Jun 2023
Historique:
received: 26 01 2023
accepted: 27 04 2023
medline: 30 5 2023
pubmed: 30 5 2023
entrez: 30 5 2023
Statut: epublish

Résumé

Förster resonance energy transfer (FRET) microscopy is used in numerous biophysical and biomedical applications to monitor inter- and intramolecular interactions and conformational changes in the 2-10 nm range. FRET is currently being extended to in vivo optical imaging, its main application being in quantifying drug-target engagement or drug release in animal models of cancer using organic dye or nanoparticle-labeled probes. Herein, we compared FRET quantification using intensity-based FRET (sensitized emission FRET analysis with the three-cube approach using an IVIS imager) and macroscopic fluorescence lifetime (MFLI) FRET using a custom system using a time-gated-intensified charge-coupled device, for small animal optical in vivo imaging. The analytical expressions and experimental protocols required to quantify the product

Identifiants

pubmed: 37251213
doi: 10.1016/j.bpr.2023.100110
pii: S2667-0747(23)00011-3
pmc: PMC10209493
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100110

Subventions

Organisme : NCI NIH HHS
ID : R01 CA207725
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA237267
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA250636
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© 2023 The Authors.

Déclaration de conflit d'intérêts

The authors declare no competing interests.

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Auteurs

Jason T Smith (JT)

Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, Troy, New York.

Nattawut Sinsuebphon (N)

Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, Troy, New York.

Alena Rudkouskaya (A)

Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York.

Xavier Michalet (X)

Department of Chemistry & Biochemistry, University of California at Los Angeles, Los Angeles, California.

Xavier Intes (X)

Center for Modeling, Simulation and Imaging in Medicine (CeMSIM), Rensselaer Polytechnic Institute, Troy, New York.

Margarida Barroso (M)

Department of Molecular and Cellular Physiology, Albany Medical College, Albany, New York.

Classifications MeSH