| Title |
A Versatile Method to Design Stem-Loop Primer-Based Quantitative PCR Assays for Detecting Small Regulatory RNA Molecules
|
|---|---|
| Published in |
PLOS ONE, January 2013
|
| DOI | 10.1371/journal.pone.0055168 |
| Pubmed ID | |
| Authors |
Zsolt Czimmerer, Julianna Hulvely, Zoltan Simandi, Eva Varallyay, Zoltan Havelda, Erzsebet Szabo, Attila Varga, Balazs Dezso, Maria Balogh, Attila Horvath, Balint Domokos, Zsolt Torok, Laszlo Nagy, Balint L. Balint |
| Abstract |
Short regulatory RNA-s have been identified as key regulators of gene expression in eukaryotes. They have been involved in the regulation of both physiological and pathological processes such as embryonal development, immunoregulation and cancer. One of their relevant characteristics is their high stability, which makes them excellent candidates for use as biomarkers. Their number is constantly increasing as next generation sequencing methods reveal more and more details of their synthesis. These novel findings aim for new detection methods for the individual short regulatory RNA-s in order to be able to confirm the primary data and characterize newly identified subtypes in different biological conditions. We have developed a flexible method to design RT-qPCR assays that are very sensitive and robust. The newly designed assays were tested extensively in samples from plant, mouse and even human formalin fixed paraffin embedded tissues. Moreover, we have shown that these assays are able to quantify endogenously generated shRNA molecules. The assay design method is freely available for anyone who wishes to use a robust and flexible system for the quantitative analysis of matured regulatory RNA-s. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Spain | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| Denmark | 1 | <1% |
| Canada | 1 | <1% |
| Slovenia | 1 | <1% |
| Unknown | 200 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 45 | 22% |
| Researcher | 43 | 21% |
| Student > Master | 34 | 17% |
| Student > Bachelor | 16 | 8% |
| Other | 10 | 5% |
| Other | 26 | 13% |
| Unknown | 30 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 89 | 44% |
| Biochemistry, Genetics and Molecular Biology | 48 | 24% |
| Medicine and Dentistry | 8 | 4% |
| Engineering | 3 | 1% |
| Chemistry | 3 | 1% |
| Other | 18 | 9% |
| Unknown | 35 | 17% |