| Title |
High Throughput Gene Expression Measurement with Real Time PCR in a Microfluidic Dynamic Array
|
|---|---|
| Published in |
PLOS ONE, February 2008
|
| DOI | 10.1371/journal.pone.0001662 |
| Pubmed ID | |
| Authors |
Sandra L. Spurgeon, Robert C. Jones, Ramesh Ramakrishnan |
| Abstract |
We describe a high throughput gene expression platform based on microfluidic dynamic arrays. This system allows 2,304 simultaneous real time PCR gene expression measurements in a single chip, while requiring less pipetting than is required to set up a 96 well plate. We show that one can measure the expression of 45 different genes in 18 tissues with replicates in a single chip. The data have excellent concordance with conventional real time PCR and the microfluidic dynamic arrays show better reproducibility than commercial DNA microarrays. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 344 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 3% |
| France | 3 | <1% |
| United Kingdom | 3 | <1% |
| Germany | 2 | <1% |
| Japan | 2 | <1% |
| Netherlands | 1 | <1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| Canada | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 315 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 96 | 28% |
| Student > Ph. D. Student | 95 | 28% |
| Student > Master | 43 | 13% |
| Student > Bachelor | 19 | 6% |
| Student > Doctoral Student | 14 | 4% |
| Other | 48 | 14% |
| Unknown | 29 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 189 | 55% |
| Biochemistry, Genetics and Molecular Biology | 38 | 11% |
| Engineering | 25 | 7% |
| Medicine and Dentistry | 18 | 5% |
| Chemistry | 9 | 3% |
| Other | 31 | 9% |
| Unknown | 34 | 10% |