Gold Nanoflares with Computing Function as Smart Diagnostic Automata for Multi-miRNA Patterns in Living Cells
| Autor: | Jian-Hui Jiang, Li-Juan Tang, Na Li, Zhan-Ming Ying, Lan Liu, Zhi-Mei Huang |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Theoretical computer science
Logic media_common.quotation_subject Oligonucleotides Cancer therapy Metal Nanoparticles 010402 general chemistry 01 natural sciences Analytical Chemistry Computers Molecular Cell Line Tumor Neoplasms Code (cryptography) Humans Function (engineering) Fluorescent Dyes media_common Microscopy Confocal Rhodamines Chemistry 010401 analytical chemistry Process (computing) Nucleic Acid Hybridization Resolution (logic) 0104 chemical sciences Nanoflares Automaton MicroRNAs HEK293 Cells Microscopy Fluorescence Gold |
| Zdroj: | Analytical Chemistry. 92:10925-10929 |
| ISSN: | 1520-6882 0003-2700 |
| DOI: | 10.1021/acs.analchem.0c02325 |
| Popis: | Investigating the multimolecule patterns in living cells is of vital importance for clinical and biomedical studies. Herein, we reported for the first time the engineering of gold nanoflares as smart automata to implement computing-based diagnosis in living mammalian cells. Defining the logic combinations of miR122 and miR21 as the detection patterns, the corresponding OR and AND diagnostic automata were designed. The results showed that they could recognize the correct patterns rapidly and sensitively. The automata could enter cells via self-delivery and have good biocompatibility. They enabled accurate diagnosis on miRNA signatures in different cell lines and differentiation of fluctuations in the same cell line at single cell resolution. Moreover, the automata afforded an innovative diagnostic mode. It simplified the complicated process of detecting, data-collecting, computing, and evaluating. The direct diagnosing result ("1" or "0") was exported according to the embedded computation code. It highlighted the new possibility of using smart automata for intelligent diagnostics and cancer therapy at single cell resolution. |
| Databáze: | OpenAIRE |
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