Unknown

Dataset Information

0

A cell-penetrating protein designed for bimodal fluorescence and magnetic resonance imaging.


ABSTRACT: Multimodal imaging is a highly desirable biomedical application since it can provide complementary information from each imaging modality. We propose a protein engineering-based strategy for the construction of a bimodal probe for fluorescence and magnetic resonance imaging. A recombinant protein was generated by the fusion of a supercharged green fluorescence protein (GFP36+) with a lanthanide-binding tag (dLBT) that can stably bind two Gd3+ ions. The GFP36+-dLBT fusion protein showed strong fluorescence and exhibited efficient contrast enhancement in magnetic resonance imaging. This protein probe improves the MR relaxation more efficiently than Gd-DTPA (gadopentetate dimeglumine). The superior cell-penetrating activity of GFP36+ allows the efficient cellular uptake of this fusion protein and it can thus be used as a cellular imaging probe. Dual imaging was conducted in vitro and in mice. This result indicates that the fusion of different functional domains is a feasible approach for making multi-modal imaging agents.

SUBMITTER: Wu Q 

PROVIDER: S-EPMC5506616 | biostudies-literature | 2015 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

A cell-penetrating protein designed for bimodal fluorescence and magnetic resonance imaging.

Wu Qin Q   Cheng Qinqin Q   Yuan Siming S   Qian Junchao J   Zhong Kai K   Qian Yinfeng Y   Liu Yangzhong Y  

Chemical science 20150811 11


Multimodal imaging is a highly desirable biomedical application since it can provide complementary information from each imaging modality. We propose a protein engineering-based strategy for the construction of a bimodal probe for fluorescence and magnetic resonance imaging. A recombinant protein was generated by the fusion of a supercharged green fluorescence protein (GFP<sup>36+</sup>) with a lanthanide-binding tag (dLBT) that can stably bind two Gd<sup>3+</sup> ions. The GFP<sup>36+</sup>-dLB  ...[more]

Similar Datasets

| S-EPMC6939894 | biostudies-literature
| S-EPMC9302690 | biostudies-literature
| S-EPMC8786750 | biostudies-literature
| S-EPMC10264396 | biostudies-literature
| S-EPMC7374547 | biostudies-literature
2018-12-01 | GSE101908 | GEO
| S-EPMC6679940 | biostudies-literature
| S-EPMC4323763 | biostudies-literature
| S-EPMC8303253 | biostudies-literature
2023-11-03 | GSE239379 | GEO