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Programmable and multiparameter DNA-based logic platform for cancer recognition and targeted therapy.
You, Mingxu; Zhu, Guizhi; Chen, Tao; Donovan, Michael J; Tan, Weihong.
Afiliação
  • You M; Molecular Science and Biomedicine Laboratory, State Key Laboratory of Chemo/Bio-Sensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Collaborative Innovation Center for Molecular Engineering and Theranostics, Hunan University , Changsha, Hunan 410082, China.
J Am Chem Soc ; 137(2): 667-74, 2015 Jan 21.
Article em En | MEDLINE | ID: mdl-25361164
ABSTRACT
The specific inventory of molecules on diseased cell surfaces (e.g., cancer cells) provides clinicians an opportunity for accurate diagnosis and intervention. With the discovery of panels of cancer markers, carrying out analyses of multiple cell-surface markers is conceivable. As a trial to accomplish this, we have recently designed a DNA-based device that is capable of performing autonomous logic-based analysis of two or three cancer cell-surface markers. Combining the specific target-recognition properties of DNA aptamers with toehold-mediated strand displacement reactions, multicellular marker-based cancer analysis can be realized based on modular AND, OR, and NOT Boolean logic gates. Specifically, we report here a general approach for assembling these modular logic gates to execute programmable and higher-order profiling of multiple coexisting cell-surface markers, including several found on cancer cells, with the capacity to report a diagnostic signal and/or deliver targeted photodynamic therapy. The success of this strategy demonstrates the potential of DNA nanotechnology in facilitating targeted disease diagnosis and effective therapy.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Computadores Moleculares / Terapia de Alvo Molecular / Lógica / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biomarcadores Tumorais / Computadores Moleculares / Terapia de Alvo Molecular / Lógica / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2015 Tipo de documento: Article