Distance-dependent magnetic resonance tuning as a versatile MRI sensing platform for biological targets
By pairing a paramagnetic enhancer with a superparamagnetic quencher, their distance-dependent interaction can be applied to image biological processes using MRI. Nanoscale distance-dependent phenomena, such as Förster resonance energy transfer, are important interactions for use in sensing and imag...
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Published in | Nature materials Vol. 16; no. 5; pp. 537 - 542 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
01.05.2017
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | By pairing a paramagnetic enhancer with a superparamagnetic quencher, their distance-dependent interaction can be applied to image biological processes using MRI.
Nanoscale distance-dependent phenomena, such as Förster resonance energy transfer, are important interactions for use in sensing and imaging, but their versatility for bioimaging can be limited by undesirable photon interactions with the surrounding biological matrix, especially in
in vivo
systems
1
,
2
,
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,
4
. Here, we report a new type of magnetism-based nanoscale distance-dependent phenomenon that can quantitatively and reversibly sense and image intra-/intermolecular interactions of biologically important targets. We introduce distance-dependent magnetic resonance tuning (MRET), which occurs between a paramagnetic ‘enhancer’ and a superparamagnetic ‘quencher’, where the
T
1
magnetic resonance imaging (MRI) signal is tuned ON or OFF depending on the separation distance between the quencher and the enhancer. With MRET, we demonstrate the principle of an MRI-based ruler for nanometre-scale distance measurement and the successful detection of both molecular interactions (for example, cleavage, binding, folding and unfolding) and biological targets in
in vitro
and
in vivo
systems. MRET can serve as a novel sensing principle to augment the exploration of a wide range of biological systems. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1476-1122 1476-4660 |
DOI: | 10.1038/nmat4846 |