| Title |
Rapid and Sensitive MicroRNA Detection with Laminar Flow-Assisted Dendritic Amplification on Power-Free Microfluidic Chip
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0048329 |
| Pubmed ID | |
| Authors |
Hideyuki Arata, Hiroshi Komatsu, Kazuo Hosokawa, Mizuo Maeda |
| Abstract |
Detection of microRNAs, small noncoding single-stranded RNAs, is one of the key topics in the new generation of cancer research because cancer in the human body can be detected or even classified by microRNA detection. This report shows rapid and sensitive microRNA detection using a power-free microfluidic device, which is driven by degassed poly(dimethylsiloxane), thus eliminating the need for an external power supply. MicroRNA is detected by sandwich hybridization, and the signal is amplified by laminar flow-assisted dendritic amplification. This method allows us to detect microRNA of specific sequences at a limit of detection of 0.5 pM from a 0.5 µL sample solution with a detection time of 20 min. Together with the advantages of self-reliance of this device, this method might contribute substantially to future point-of-care early-stage cancer diagnosis. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| Germany | 1 | <1% |
| Canada | 1 | <1% |
| France | 1 | <1% |
| Russia | 1 | <1% |
| Denmark | 1 | <1% |
| Unknown | 132 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 38 | 27% |
| Researcher | 34 | 24% |
| Student > Master | 18 | 13% |
| Student > Bachelor | 15 | 11% |
| Professor > Associate Professor | 7 | 5% |
| Other | 18 | 13% |
| Unknown | 11 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 35 | 25% |
| Agricultural and Biological Sciences | 34 | 24% |
| Biochemistry, Genetics and Molecular Biology | 14 | 10% |
| Chemistry | 13 | 9% |
| Physics and Astronomy | 6 | 4% |
| Other | 16 | 11% |
| Unknown | 23 | 16% |