Zhou Kun, Spillman Monique A, Behbakht Kian, Komatsu Julia M, Abrahante Juan E, Hicks Douglas, Schotl Brent, Odean Evan, Jones Kenneth L, Graner Michael W, Bemis Lynne T
University of Minnesota Medical School - Duluth, 1035 University Drive, Duluth, MN 55812-3031, USA.
Texas A&M University Medical School, Baylor University Medical Center, Dallas, TX, USA.
Anal Biochem. 2017 Nov 1;536:8-15. doi: 10.1016/j.ab.2017.08.003. Epub 2017 Aug 10.
Readily accessible samples such as urine or blood are seemingly ideal for differentiating and stratifying patients; however, it has proven a daunting task to identify reliable biomarkers in such samples. Noncoding RNA holds great promise as a source of biomarkers distinguishing physiologic wellbeing or illness. Current methods to isolate and characterize RNA molecules in urine are limited. In this proof of concept study, we present a method to extract and identify small noncoding RNAs in urine. Initially, quantitative reverse transcription PCR was applied to confirm the presence of microRNAs in total RNA extracted from urine. Once the presence of micro RNA in urine was confirmed, we developed a method to scale up RNA extraction to provide adequate amounts of RNA for next generation sequence analysis. The method described in this study is applicable to detecting a broad range of small noncoding RNAs in urine; thus, they have wide applicability for health and disease analyses.
诸如尿液或血液等易于获取的样本似乎是区分和分层患者的理想选择;然而,事实证明,在这类样本中识别可靠的生物标志物是一项艰巨的任务。非编码RNA作为区分生理健康或疾病的生物标志物来源具有巨大潜力。目前用于分离和鉴定尿液中RNA分子的方法有限。在这项概念验证研究中,我们提出了一种提取和鉴定尿液中微小非编码RNA的方法。最初,应用定量逆转录PCR来确认从尿液中提取的总RNA中存在微小RNA。一旦确认尿液中存在微小RNA,我们就开发了一种扩大RNA提取规模的方法,以提供足够量的RNA用于下一代测序分析。本研究中描述的方法适用于检测尿液中广泛的微小非编码RNA;因此,它们在健康和疾病分析中具有广泛的适用性。