使用深度覆盖范围的长读RNA测序在早期内皮细胞分化过程中进行定量化异构形状分析
bioRxiv : the preprint server for biology
|June 12, 2025
概括
高深度PacBio长读RNA测序 (lrRNA-seq) 与Illumina短读RNA测序有很强的一致性. 这项基准研究证实PacBio Kinnex lrRNA-seq是准确的转录组概况的可靠方法.
科学领域:
- 基因组学和转录基因组学
- 分子生物学分子生物学
- 生物技术是生物技术.
背景情况:
- 长读RNA测序 (lrRNA-seq) 提供了全长的转录概况,但其量化准确性,特别是PacBio数据,需要强大的验证.
- 之前的PacBio lrRNA-seq研究受限于低至中度的测序深度,阻碍了全面的准确性评估.
研究的目的:
- 严格比较PacBio Kinnex lrRNA-seq与Illumina短读RNA测序的量化准确性.
- 描述这两个主要RNA测序平台之间的转录量化中的潜在偏差.
主要方法:
- 使用一个高深度的PacBio Kinnex lrRNA-seq数据集.
- 雇员样本匹配Illumina短读RNA序列数据.
- 使用诱导多能干细胞分化成原始内皮细胞的数据集进行基准定量精度.
主要成果:
- 在Illumina数据中确定了推断变异性,可能会对复杂拼接基因的丰度估计产生偏见.
- 在PacBio Kinnex数据中检测到与长度相关的偏差.
- 在PacBio和Illumina量化结果之间显示出强烈的一致性.
结论:
- 即使在高深处,PacBio Kinnex lrRNA-seq也是一个可靠的转录组分析方法.
- 强烈的一致性支持PacBio lrRNA-seq用于下游生物分析.
- 了解特定平台的偏见对于准确的转录丰度估计至关重要.
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