Lund Sigrun Helga, Gudbjartsson Daniel Fannar, Rafnar Thorunn, Sigurdsson Asgeir, Gudjonsson Sigurjon Axel, Gudmundsson Julius, Stefansson Kari, Stefansson Gunnar
Faculty of Physical Sciences, University of Iceland, Reykjavik, Iceland.
deCODE Genetics, Reykjavik, Iceland.
PLoS One. 2014 Jun 17;9(6):e99899. doi: 10.1371/journal.pone.0099899. eCollection 2014.
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.
长链非编码核糖核酸（lncRNAs）已被提议作为前列腺癌的生物标志物。本文提出了一种选择方法，该方法利用来自平铺式微阵列的数据来识别中等表达水平的相对较长区域，而不依赖于微阵列平台和探针设计。该方法用于在8q24位点搜索候选长链非编码核糖核酸（lncRNAs），并在三个独立实验中运行，这些实验均使用前列腺癌患者的样本。通过使用平铺式探针的重复拷贝来测试该方法的稳健性。该方法在使用相同样本但不同探针布局的实验之间显示出高度一致性。在比较不同样本的实验时，也存在统计学上显著的一致性。该方法在所有三个实验中都选择了长链非编码核糖核酸PCNCR1。
