Background: Site-specific multimodal nanoplatforms with fluorescent-magnetic properties have great potential for biological sciences. For this reason, we developed a multimodal nanoprobe (BNPs-Tf), by covalently conjugating an optical-magnetically active bimodal nanosystem, based on quantum dots and iron oxide nanoparticles, with the human holo-transferrin (Tf).
Methods: The Tf bioconjugation efficiency was evaluated by the fluorescence microplate assay (FMA) and the amount of Tf immobilized on BNPs was quantified by fluorescence spectroscopy. Moreover, relaxometric and fluorescent properties of the BNPs-Tf were evaluated, as well as its ability to label specifically HeLa cells. Cytotoxicity was also performed by Alamar Blue assay.
Results: The FMA confirmed an efficient bioconjugation and the fluorescence spectroscopy analysis indicated that 98% of Tf was immobilized on BNPs. BNPs-Tf also presented a bright fluorescence and a transversal/longitudinal relaxivities ratio (r/r) of 65. Importantly, the developed BNPs-Tf were able to label, efficiently and specifically, the Tf receptors in HeLa cells, as shown by fluorescence and magnetic resonance imaging assays. Moreover, this multimodal system did not cause noteworthy cytotoxicity.
Conclusions: The prepared BNPs-Tf hold great promise as an effective and specific multimodal, highly fluorescent-magnetic, nanoplatform for fluorescence analyses and T-weighted images.
General Significance: This study developed an attractive and versatile multimodal nanoplatform that has potential to be applied in a variety of in vitro and in vivo studies, addressing biological processes, diagnostic, and therapeutics. Moreover, this work opens new possibilities for designing other efficient multimodal nanosystems, considering other biomolecules in their composition able to provide them important functional properties.
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http://dx.doi.org/10.1016/j.bbagen.2018.08.014 | DOI Listing |
Transl Lung Cancer Res
December 2024
Department of Radiation Oncology, Fourth Hospital of Hebei Medical University, Shijiazhuang, China.
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View Article and Find Full Text PDFJ Exp Psychol Gen
January 2025
Department of Psychology and Neuroscience, Temple University.
Successful emotion regulation (ER) requires effective strategy selection. Research suggests that disengagement strategies (e.g.
View Article and Find Full Text PDFScience
January 2025
EvolutionaryScale, PBC, New York, NY, USA.
More than three billion years of evolution have produced an image of biology encoded into the space of natural proteins. Here we show that language models trained at scale on evolutionary data can generate functional proteins that are far away from known proteins. We present ESM3, a frontier multimodal generative language model that reasons over the sequence, structure, and function of proteins.
View Article and Find Full Text PDFPhys Med Biol
January 2025
School of Software Engineering, Xi'an Jiaotong University, Xi 'an Jiaotong University Innovation Port, Xi 'an, Shaanxi Province, Xi'an, Shaanxi, 710049, CHINA.
Deformable registration aims to achieve nonlinear alignment of image space by estimating a dense displacement field. It is commonly used as a preprocessing step in clinical and image analysis applications, such as surgical planning, diagnostic assistance, and surgical navigation. We aim to overcome these challenges: Deep learning-based registration methods often struggle with complex displacements and lack effective interaction between global and local feature information.
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