Literature DB >> 32097523

Sequence-Dependent DNA Functionalization of Upconversion Nanoparticles and Their Programmable Assemblies.

Huan Ge1,2, Dongya Wang3, Yue Pan2, Yuanyuan Guo1, Hongyu Li2, Fan Zhang2, Xinyuan Zhu1, Yuehua Li3, Chuan Zhang1, Ling Huang2.   

Abstract

DNA-modified lanthanide-doped upconversion nanoparticles (DNA-UCNPs) that combine the functions of DNA and the optical features of UCNPs have shown great promise in a wide range of fields. However, challenges remain in precisely tethering and orienting the DNA strands on the UCNP surface. Herein, we systematically investigate the sequence dependence of DNAs in their interactions with UCNPs, and reveal that poly-cytosine (poly-C) has high affinity for the UCNP surface. A general approach to synthesize monodispersed DNA-UCNP conjugates is developed using poly-C-containing diblock DNA strands. The poly-C segment of the DNA strand binds to the surfaces of UCNPs and the second segment is oriented perpendicularly on the UCNP surface, making the DNA-UCNPs highly stable and monodispersed in aqueous solution. The dense layer of DNA on the UCNP surface enables the programmable assembly of UCNPs with other DNA-functionalized nanoparticles or DNA origamis through hybridization, resulting in the formation of well-organized complex structures.
© 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  DNA; nanostructures; poly-cytosine; self-assembly; upconversion nanoparticles

Year:  2020        PMID: 32097523     DOI: 10.1002/anie.202000831

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   15.336


  2 in total

Review 1.  Nanocomposites based on lanthanide-doped upconversion nanoparticles: diverse designs and applications.

Authors:  Kaimin Du; Jing Feng; Xuan Gao; Hongjie Zhang
Journal:  Light Sci Appl       Date:  2022-07-13       Impact factor: 20.257

Review 2.  Nanoparticles in Clinical Translation for Cancer Therapy.

Authors:  Deepa Mundekkad; William C Cho
Journal:  Int J Mol Sci       Date:  2022-02-01       Impact factor: 5.923

  2 in total

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