| Literature DB >> 25873968 |
Imran Amin1, Tania Jabbar2, Fawad Niazi1, Muhammad Saeed Akhtar3.
Abstract
A semiautomated extraction protocol of HCV-RNA using Favorgen RNA extraction kit has been developed. The kit provided protocol was modified by replacing manual spin steps with vacuum filtration. The assay performance was evaluated by real-time qPCR based on Taqman technology. Assay linearity was confirmed with the serial dilutions of RTA (Turkey) containing 1 × (10(6), 10(5), 10(4), and 10(3)) IU mL(-1). Comparison of test results obtained by two extraction methods showed a good correlation (r = 0.95, n = 30) with detection limit of 10(2) IU mL(-1). The semiautomated vacuum filtration based protocol demonstrated high throughput: 35 minutes for the extraction of a batch of 30 samples (150 µL each) with reduced labor, time, waste, and cost. Performance characteristics of semiautomated system make it suitable for use in diagnostic purpose and viral load determinations.Entities:
Year: 2015 PMID: 25873968 PMCID: PMC4383304 DOI: 10.1155/2015/367801
Source DB: PubMed Journal: Int J Anal Chem ISSN: 1687-8760 Impact factor: 1.885
Figure 1Spin and vacuum filtration based protocol for HCV-RNA extraction using Favorgen kit.
RT-qPCR results using spin and vacuum filtration based protocols for HCV-RNA extraction.
| Sample ID |
CT | CT | CT | IU mL−1 | IU mL−1 | Cv % |
|---|---|---|---|---|---|---|
| Vacuum filtration | Spin | Vacuum filtration | Spin | |||
| 1 | 25.99 | 15.6 ± 0.3 | 18.4 ± 0.4 | 481,419 | 67,458 | 0.9 |
| 2 | 26.48 | 16.0 ± 0.3 | 17.0 ± 0.3 | 360,304 | 177,932 | 0.6 |
| 3 | 26.57 | 22.6 ± 0.7 | 24.7 ± 0.5 | 3,602 | 847 | 0.01 |
| 4 | 26.8 | 12.8 ± 0.2 | 15.1 ± 0.3 | 3,299,175 | 704,535 | 6.4 |
| 5 | 27.5 | 18.6 ± 0.4 | 19.6 ± 0.4 | 60,629 | 28,823 | 0.1 |
| 6 | 26.34 | 13.3 ± 0.2 | 15.7 ± 0.3 | 2,461,014 | 430,986 | 4.7 |
| 7 | 27.14 | 16.1 ± 0.3 | 18.8 ± 0.4 | 348,791 | 51,043 | 0.7 |
| 8 | 26.86 | 17.6 ± 0.3 | 18.6 ± 0.4 | 112,812 | 56,348 | 0.2 |
| 9 | 27.84 | 14.6 ± 0.2 | 16.8 ± 0.3 | 946,830 | 206,548 | 1.8 |
| 10 | 26.54 | 17.2 ± 0.3 | 31.8 ± 1.2 | 160,482 | 54,132 | 0.3 |
| 11 | 26.29 | 19.2 ± 0.4 | 20.4 ± 0.6 | 38,131 | 16,544 | 0.1 |
| 12 | 24.9 | 21.4 ± 0.6 | 22.18 ± 0.7 | 9,683 | 5,736 | 0.0 |
| 13 | 24.7 | 15.07 ± 0.3 | 17.2 ± 0.3 | 767,124 | 179,381 | 0.2 |
| 14 | 26.28 | 18.9 ± 0.4 | 19.8 ± 0.4 | 52,693 | 29,976 | 0.02 |
| 15 | 26.77 | 22.2 ± 0.7 | 22.6 ± 0.7 | 5,810 | 4,340 | 0.0 |
| 16 | 26.2 | 20.4 ± 0.6 | 21.2 ± 0.6 | 19,312 | 11,584 | 0.01 |
| 17 | 25.4 | 19.8 ± 0.4 | 20.0 ± 0.4 | 29,849 | 25,136 | 0.01 |
| 18 | 26.8 | 21.6 ± 0.6 | 21.8 ± 0.7 | 8,328 | 7,507 | 0.00 |
| 19 | 26.1 | 15.3 ± 0.3 | 17.1 ± 0.3 | 642,090 | 187,782 | 0.2 |
| 20 | 26.0 | 21.4 ± 0.6 | 23.4 ± 0.7 | 9,533 | 2,555 | 0.0 |
| 21 | 26.1 | 18.8 ± 0.4 | 19.0 ± 0.4 | 55,731 | 50,456 | 0.02 |
| 22 | 26.1 | 17.2 ± 0.3 | 18.3 ± 0.4 | 171,609 | 83,106 | 0.06 |
| 23 | 25.7 | 19.3 ± 0.4 | 20.1 ± 0.4 | 46,845 | 24,354 | 0.02 |
| 24 | 28.4 | 21.5 ± 0.6 | 22.5 ± 0.7 | 9,201 | 4,760 | 0.0 |
| 25 | 26.1 | 22.1 ± 0.6 | 24.3 ± 0.7 | 5,980 | 1,307 | 0.0 |
| 26 | 26.8 | 20.3 ± 0.6 | 20.7 ± 0.6 | 20,985 | 16,260 | 0.01 |
| 27 | 31.5 | 26.0 ± 0.9 | 26.9 ± 0.8 | 280 | 150 | 0.01 |
| 28 | 18.5 | 18.1 ± 0.3 | 18.5 ± 0.4 | 95,495 | 70,695 | 0.04 |
| 29 | 31.2 | 16.2 ± 0.3 | 17.5 ± 0.3 | 352,282 | 145,151 | 0.1 |
| 30 | 27.5 | 19.44 ± 0.4 | 20.5 ± 0.6 | 37,850 | 18,256 | 0.01 |
Figure 2Bivariate fit between two assays.