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Updated: Sep 17, 2025
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Optimization for Sequencing and Analysis of Degraded FFPE-RNA Samples
Published on: June 8, 2020
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开发一个端到端的总RNA测序质量控制框架,用于基于血液的生物标志物发现
Cheryl L Sesler1, Guzel I Shaginurova1, Lukasz S Wylezinski2
1Decode Health, Inc., Nashville, Tennessee.
The Journal of molecular diagnostics : JMD
|June 27, 2025
概括
实施RNA测序 (RNA-seq) 的综合质量控制 (QC) 框架可以提高生物标志物发现可靠性. 这种标准化的方法解决了分析前,分析后和分析后的变异性,增强了RNA-seq数据的临床翻译.
科学领域:
- 基因组学和转录基因组学
- 生物标志物发现发现
- 临床诊断 临床诊断 临床诊断
背景情况:
- 下一代RNA测序 (RNA-seq) 为疾病表征和精准医学提供了重大潜力.
- 由于处理和分析的可变性,RNA-seq的广泛临床采用受到阻碍.
- 在整个生物标志物发现过程中,强有力的质量控制 (QC) 是必不可少的,以确保可靠的结果.
研究的目的:
- 建立一个全面的,多层次的质量控制 (QC) 框架,用于RNA测序 (RNA-seq) 生物标记物的发现.
- 在分析前,分析后和分析后阶段识别关键的QC检查点.
- 为了提高RNA-seq结果的信心和可靠性,用于临床应用.
主要方法:
- 开发并实施RNA测序的端到端QC框架.
- 在分析前,分析后和分析后的过程中整合了多层质量指标.
- 使用全血样本 (PAXgene血液RNA管) 和散装RNA控制,应用二次DNase处理以解决基因组DNA污染.
主要成果:
- 预分析指标 (样本采集,RNA完整性,基因组DNA污染) 显示出最高的失败率.
- 二次DNase治疗有效降低了基因组DNA水平和基因间读取对齐.
- 实施的质量控制框架确保了足够的RNA质量,用于下游测序和分析.
结论:
- 一个标准化,端到端的QC框架对于可靠的RNA测序生物标志物发现至关重要.
- 解决分析前的变异性,特别是基因组DNA污染,显著提高了数据质量.
- 实施这些标准将加速RNA-seq转化为临床可行的诊断和治疗方法.
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