Recent advances in signal amplification strategy based on oligonucleotide and nanomaterials for microRNA detection-a review
| Autor: | Ke-Jing Huang, Ying-Xu Chen, Ke-Xin Niu |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Oligonucleotide
010401 analytical chemistry Oligonucleotides Biomedical Engineering Biophysics Biosensing Techniques 02 engineering and technology General Medicine Computational biology Biology 021001 nanoscience & nanotechnology Bioinformatics 01 natural sciences Nanostructures 0104 chemical sciences MicroRNAs Rolling circle replication microRNA Electrochemistry Humans 0210 nano-technology Nucleic Acid Amplification Techniques Signal amplification Biotechnology |
| Zdroj: | Biosensors and Bioelectronics. 99:612-624 |
| ISSN: | 0956-5663 |
| Popis: | MicroRNAs (MiRNAs) play multiple crucial regulating roles in cell which can regulate one third of protein-coding genes. MiRNAs participate in the developmental and physiological processes of human body, while their aberrant adjustment will be more likely to trigger diseases such as cancers, kidney disease, central nervous system diseases, cardiovascular diseases, diabetes, viral infections and so on. What's worse, for the detection of miRNAs, their small size, high sequence similarity, low abundance and difficult extraction from cells impose great challenges in the analysis. Hence, it's necessary to fabricate accurate and sensitive biosensing platform for miRNAs detection. Up to now, researchers have developed many signal-amplification strategies for miRNAs detection, including hybridization chain reaction, nuclease amplification, rolling circle amplification, catalyzed hairpin assembly amplification and nanomaterials based amplification. These methods are typical, feasible and frequently used. In this review, we retrospect recent advances in signal amplification strategies for detecting miRNAs and point out the pros and cons of them. Furthermore, further prospects and promising developments of the signal-amplification strategies for detecting miRNAs are proposed. |
| Databáze: | OpenAIRE |
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