A method for detecting long non-coding RNAs with tiled RNA expression microarrays
Long non-coding ribonucleic acids (lncRNAs) have been proposed as biomarkers in prostate cancer. This paper proposes a selection method which uses data from tiled microarrays to identify relatively long regions of moderate expression independent of the microarray platform and probe design. The metho...
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Published in | PloS one Vol. 9; no. 6; p. e99899 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
17.06.2014
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
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Summary: | Long non-coding ribonucleic acids (lncRNAs) have been proposed as biomarkers in prostate cancer. This paper proposes a selection method which uses data from tiled microarrays to identify relatively long regions of moderate expression independent of the microarray platform and probe design. The method is used to search for candidate long non-coding ribonucleic acids (lncRNAs) at locus 8q24 and is run on three independent experiments which all use samples from prostate cancer patients. The robustness of the method is tested by utilizing repeated copies of tiled probes. The method shows high consistency between experiments that used the same samples, but different probe layout. There also is statistically significant consistency when comparing experiments with different samples. The method selected the long non-coding ribonucleic acid PCNCR1 in all three experiments. |
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Bibliography: | Conceived and designed the experiments: SHL GS JG TR SAG KS. Performed the experiments: AS. Analyzed the data: SHL DFG GS. Contributed reagents/materials/analysis tools: AS SAG SHL. Wrote the paper: SHL TR GS. Competing Interests: Daniel Fannar Gudbjartsson, Thorunn Rafnar, Asgeir Sigurdsson, Sigurjon Axel Gudjonsson, Julius Gudmundsson and Kari Stefansson are employed by a commercial company, deCODE Genetics. This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0099899 |