Division of Genomic Medicine, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Department of Neurology, Juntendo University School of Medicine, Tokyo, Japan.
Sci Data. 2019 Apr 5;6(1):20. doi: 10.1038/s41597-019-0022-9.
Parkinson's disease (PD) is an age-related, chronic and progressive neurodegenerative disorder characterized by a loss of multifocal neurons, resulting in both non-motor and motor symptoms. While several genetic and environmental contributory risk factors have been identified, more exact methods for diagnosing and assessing prognosis of PD have yet to be established. Here we describe the generation and validation of a dataset comprising whole-blood transcriptomes originally intended for use in detection of blood biomarkers and transcriptomic network changes indicative of PD. Whole-blood samples extracted from both early-stage PD patients and healthy controls were sequenced using no-amplification non-tagging cap analysis of gene expression (nAnT-iCAGE) to analyse differences in global RNA expression patterns across the conditions. Subsequent sampling of a subset of PD patients one-year later provides the opportunity to study changes in transcriptomes arising due to disease progression.
帕金森病（PD）是一种与年龄相关的、慢性进行性神经退行性疾病，其特征是多灶性神经元丧失，导致非运动和运动症状。虽然已经确定了一些遗传和环境致病因素，但尚未建立更准确的 PD 诊断和预后评估方法。在这里，我们描述了一个数据集的生成和验证，该数据集由全血转录组组成，最初用于检测血液生物标志物和指示 PD 的转录组网络变化。使用无扩增非标记基因表达的帽分析（nAnT-iCAGE）从早期 PD 患者和健康对照者的全血样本中提取并测序，以分析条件之间的全局 RNA 表达模式差异。随后对一部分 PD 患者进行一年后的采样，提供了研究由于疾病进展而产生的转录组变化的机会。
