2019
DOI: 10.1080/14737159.2019.1649144
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A clinical role for Förster resonance energy transfer in molecular diagnostics of disease

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Cited by 32 publications
(34 citation statements)
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“…Continuous detection of enzyme activities (proteases, phosphatases, polymerase, kinases, telomerase, etc.) is an important parameter in medical diagnosis [27].…”
Section: Discussionmentioning
confidence: 99%
“…Continuous detection of enzyme activities (proteases, phosphatases, polymerase, kinases, telomerase, etc.) is an important parameter in medical diagnosis [27].…”
Section: Discussionmentioning
confidence: 99%
“…Homogeneous immunoassays lacking the washing or separation steps are very appealing detection tools as they provide significant advantages regarding simplicity, rapidity, and less instrumentation requirement. As previously demonstrated by Pulli et al [18] and Arola et al [19], the fact that the two antibodies involved in the immunocomplex-based recognition of a low molecular weight analyte are inevitably brought into very close interaction provides an excellent basis for the utilization of the fluorescence/Förster resonance energy transfer (FRET) process for the signal generation in a homogeneous assay [20,21]. In the FRET process, energy is transferred from a light-excited donor fluorophore through a dipoledipole coupling interaction to an acceptor fluorophore, which then releases the energy as light at higher wavelength [20,22,23].…”
Section: Introductionmentioning
confidence: 95%
“…In biology, FRET constructs are routinely used to probe the conformation of proteins or nucleic acids, DNA hybridization, cellular membrane potential, and ligand-receptor or antibody-antigen interactions. [1][2][3][4] FRET relies on resonant dipole-dipole energy transfer (ET) between a photo-excited donor (D) and a groundstate acceptor (A) molecule. For efficient ET, the donors must lie in close proximity to acceptors and overlap spectrally, i.e., the donor emission must overlap with the acceptor absorption.…”
Section: Introductionmentioning
confidence: 99%