分析超广泛转录基因激活的Chlamydia的RNA-Seq数据:其他系统的挑战,解决方案和影响.
Danny Wan1, Andrew Cheng1, Yuxuan Wang1
1Department of Pharmacology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, USA.
bioRxiv : the preprint server for biology
|June 3, 2024
概括
标准的RNA测序分析与克拉米迪亚转录组相斗争. 修订后的正常化方法准确地捕获基因表达变化,在早期感染中识别了700多个升调的基因.
科学领域:
- 微生物学 微生物学
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
背景情况:
- 标准的RNA测序 (RNA-Seq) 分析管道,如DESeq2和edgeR,面临着像Chlamydia spp.这样的有义务细胞内细菌的转录组的限制.
- 这些局限性源于数据集中未满足的假设,具有显著的转录组激活和最小的抑制,在早期细菌感染阶段很常见.
研究的目的:
- 用标准RNA-Seq差异表达方法来解决分析克拉米迪亚早期转录组的挑战.
- 开发和验证修订的规范化策略,以准确评估甲状腺菌基因表达动态.
主要方法:
- 通过结合细菌和宿主RNA-Seq读数来实施修订后的规范化技术.
- 在RNA-Seq数据分析中为总测序深度进行调整.
- 使用定量逆转录PCR (qRT-PCR) 验证发现.
主要成果:
- 单一的克拉米迪亚读数的标准分析确定了大约300个上调和300个下调的基因,误导了实际的RNA-Seq趋势.
- 经过修订的正常化方法,包括宿主读取或根据测序深度进行调整,检测到700多个上调基因和不到30个下调基因.
- qRT-PCR证实了调整后的正常化方法在反映转录基因激活时的准确性.
结论:
- 开发的正常化策略有效地捕捉了克拉米迪亚在感染早期阶段转录组激活的真实程度.
- 这些灵活和上下文意识的规范化原则可以应用于其他表现出不平衡基因表达动态的生物系统,例如细菌子发芽.
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