Literature DB >> 30036545

Quantitative imaging of receptor-ligand engagement in intact live animals.

Alena Rudkouskaya1, Nattawut Sinsuebphon2, Jamie Ward1, Kate Tubbesing1, Xavier Intes3, Margarida Barroso4.   

Abstract

Maintaining an intact tumor environment is critical for quantitation of receptor-ligand engagement in a targeted drug development pipeline. However, measuring receptor-ligand engagement in vivo and non-invasively in preclinical settings is extremely challenging. We found that quantitation of intracellular receptor-ligand binding can be achieved using whole-body macroscopic lifetime-based Förster Resonance Energy Transfer (FRET) imaging in intact, live animals bearing tumor xenografts. We determined that FRET levels report on ligand binding to transferrin receptors conversely to raw fluorescence intensity. FRET levels in heterogeneous tumors correlate with intracellular ligand binding but strikingly, not with ubiquitously used ex vivo receptor expression assessment. Hence, MFLI-FRET provides a direct measurement of systemic delivery, target availability and intracellular drug delivery in preclinical studies. Here, we have used MFLI to measure FRET longitudinally in intact and live animals. MFLI-FRET is well-suited for guiding the development of targeted drug therapy in heterogeneous tumors in intact, live small animals.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  FRET; Lifetime; Optical imaging; Target engagement; Transferrin; Tumor xenograft

Mesh:

Substances:

Year:  2018        PMID: 30036545      PMCID: PMC6231501          DOI: 10.1016/j.jconrel.2018.07.032

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  47 in total

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Authors:  Carlos Chih-Hsiung Chen; Peter J Schweinsberg; Shilpa Vashist; Darren P Mareiniss; Eric J Lambie; Barth D Grant
Journal:  Mol Biol Cell       Date:  2006-01-04       Impact factor: 4.138

2.  Quantum dots as fluorescence resonance energy transfer donors in cells.

Authors:  Nicole McGrath; Margarida Barroso
Journal:  J Biomed Opt       Date:  2008 May-Jun       Impact factor: 3.170

3.  Comparison of illumination geometry for lifetime-based measurements in whole-body preclinical imaging.

Authors:  Nattawut Sinsuebphon; Alena Rudkouskaya; Margarida Barroso; Xavier Intes
Journal:  J Biophotonics       Date:  2018-06-28       Impact factor: 3.207

Review 4.  Advances in measuring single-cell pharmacology in vivo.

Authors:  Claudio Vinegoni; J Matthew Dubach; Greg M Thurber; Miles A Miller; Ralph Mazitschek; Ralph Weissleder
Journal:  Drug Discov Today       Date:  2015-05-27       Impact factor: 7.851

Review 5.  The transferrin receptor part II: targeted delivery of therapeutic agents into cancer cells.

Authors:  Tracy R Daniels; Tracie Delgado; Gustavo Helguera; Manuel L Penichet
Journal:  Clin Immunol       Date:  2006-08-17       Impact factor: 3.969

6.  Iodination significantly influences the binding of human transferrin to the transferrin receptor.

Authors:  Hendrik Fuchs; Reinhard Gessner
Journal:  Biochim Biophys Acta       Date:  2002-02-15

Review 7.  Drug resistance and the solid tumor microenvironment.

Authors:  Olivier Trédan; Carlos M Galmarini; Krupa Patel; Ian F Tannock
Journal:  J Natl Cancer Inst       Date:  2007-09-25       Impact factor: 13.506

Review 8.  Choosing the right cell line for breast cancer research.

Authors:  Deborah L Holliday; Valerie Speirs
Journal:  Breast Cancer Res       Date:  2011-08-12       Impact factor: 6.466

9.  Quantitative tomographic imaging of intermolecular FRET in small animals.

Authors:  Vivek Venugopal; Jin Chen; Margarida Barroso; Xavier Intes
Journal:  Biomed Opt Express       Date:  2012-11-08       Impact factor: 3.732

10.  Assessment of Gate Width Size on Lifetime-Based Förster Resonance Energy Transfer Parameter Estimation.

Authors:  Sez-Jade Chen; Nattawut Sinsuebphon; Xavier Intes
Journal:  Photonics       Date:  2015-09-28
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  16 in total

1.  High compression deep learning based single-pixel hyperspectral macroscopic fluorescence lifetime imaging in vivo.

Authors:  M Ochoa; A Rudkouskaya; R Yao; P Yan; M Barroso; X Intes
Journal:  Biomed Opt Express       Date:  2020-09-02       Impact factor: 3.732

2.  UNMIX-ME: spectral and lifetime fluorescence unmixing via deep learning.

Authors:  Jason T Smith; Marien Ochoa; Xavier Intes
Journal:  Biomed Opt Express       Date:  2020-06-19       Impact factor: 3.732

3.  In vitro and in vivo phasor analysis of stoichiometry and pharmacokinetics using short-lifetime near-infrared dyes and time-gated imaging.

Authors:  Sez-Jade Chen; Nattawut Sinsuebphon; Alena Rudkouskaya; Margarida Barroso; Xavier Intes; Xavier Michalet
Journal:  J Biophotonics       Date:  2018-12-09       Impact factor: 3.207

4.  Fast fit-free analysis of fluorescence lifetime imaging via deep learning.

Authors:  Jason T Smith; Ruoyang Yao; Nattawut Sinsuebphon; Alena Rudkouskaya; Nathan Un; Joseph Mazurkiewicz; Margarida Barroso; Pingkun Yan; Xavier Intes
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-12       Impact factor: 11.205

5.  In vitro and in vivo NIR fluorescence lifetime imaging with a time-gated SPAD camera.

Authors:  Jason T Smith; Alena Rudkouskaya; Shan Gao; Juhi M Gupta; Arin Ulku; Claudio Bruschini; Edoardo Charbon; Shimon Weiss; Margarida Barroso; Xavier Intes; Xavier Michalet
Journal:  Optica       Date:  2022-05-09       Impact factor: 10.644

6.  Macroscopic Fluorescence Lifetime Imaging for Monitoring of Drug-Target Engagement.

Authors:  Marien Ochoa; Alena Rudkouskaya; Jason T Smith; Xavier Intes; Margarida Barroso
Journal:  Methods Mol Biol       Date:  2022

7.  Complex Rab4-Mediated Regulation of Endosomal Size and EGFR Activation.

Authors:  Kate Tubbesing; Jamie Ward; Raymond Abini-Agbomson; Aditi Malhotra; Alena Rudkouskaya; Janine Warren; John Lamar; Nina Martino; Alejandro P Adam; Margarida Barroso
Journal:  Mol Cancer Res       Date:  2020-02-04       Impact factor: 5.852

8.  Luminescence lifetime imaging of three-dimensional biological objects.

Authors:  Ruslan I Dmitriev; Xavier Intes; Margarida M Barroso
Journal:  J Cell Sci       Date:  2021-05-07       Impact factor: 5.285

Review 9.  Deep Learning in Biomedical Optics.

Authors:  Lei Tian; Brady Hunt; Muyinatu A Lediju Bell; Ji Yi; Jason T Smith; Marien Ochoa; Xavier Intes; Nicholas J Durr
Journal:  Lasers Surg Med       Date:  2021-05-20

Review 10.  Improving nanotherapy delivery and action through image-guided systems pharmacology.

Authors:  Thomas S C Ng; Michelle A Garlin; Ralph Weissleder; Miles A Miller
Journal:  Theranostics       Date:  2020-01-01       Impact factor: 11.556

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