<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">SHIH, CHUN-LIANG</style></author><author><style face="normal" font="default" size="100%">LUO, JI-DUNG</style></author><author><style face="normal" font="default" size="100%">CHANG, JOHN WEN-CHENG</style></author><author><style face="normal" font="default" size="100%">CHEN, TAI-LONG</style></author><author><style face="normal" font="default" size="100%">CHIEN, YU-TZU</style></author><author><style face="normal" font="default" size="100%">YU, CHIA-JUNG</style></author><author><style face="normal" font="default" size="100%">CHIOU, CHIUAN-CHIAN</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Circulating Messenger RNA Profiling with Microarray and Next-generation Sequencing: Cross-platform Comparison</style></title><secondary-title><style face="normal" font="default" size="100%">Cancer Genomics - Proteomics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2015-09-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">223-230</style></pages><volume><style face="normal" font="default" size="100%">12</style></volume><issue><style face="normal" font="default" size="100%">5</style></issue><abstract><style  face="normal" font="default" size="100%">Background: Circulating mRNA is a less invasive and more easily accessed source of samples for biomedical research and clinical applications. However, it is of poor quality. We explored and compared the ability of two high-throughput platforms for the profiling of circulating mRNA regarding their ability to retrieve useful information out of this type of samples. Materials and Methods: Circulating mRNAs from three non-small cell lung cancer patients and three healthy controls were analyzed by the cDNA-mediated annealing, selection, extension, and ligation (DASL) assay and high-throughput RNA sequencing (RSEQ). Twelve genes were selected for further confirmation by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Results: The overall expression profiles derived from the two platforms showed modest-to-moderate correlation. Genes with higher expression levels had higher cross-platform concordance than those of medium- and low-expression levels. In addition, the pathway signatures identified by gene set enrichment analysis from both platforms were in agreement. The RT-q PCR results for the selected genes correlated well with that of RSEQ. Conclusion: Genes with higher expression levels have cross-platform concordance and can be potential biomarkers. Furthermore, RSEQ is a better tool for profiling circulating mRNAs.</style></abstract></record></records></xml>