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相关概念视频

RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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相关实验视频

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通过组合条形码Tn5转子子插入单细胞全长转录组的高分辨率多重测序.

Liyong He1, Kaitong Dang1, Qian Sun2

  • 1State Key Laboratory of Digital Medical Engineering, School of Biological Science & Medical Engineering, Southeast University, Nanjing, 211189, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|November 11, 2025
PubMed
概括

组合条形码Tn5转子体插入测序 (CBTi-seq) 在单细胞中提供高分辨率的全长转录组测序. 这种具有成本效益的方法准确地识别了拼接变体和转录丰度,推进了单细胞分析.

关键词:
另一个替代拼接方法是拼接.条形码为Tn5的转换酶.全长的转录组.多重复杂的多重复杂的多重复一个单细胞的单细胞.精子的产生是精子的产生.

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科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 生物技术是生物技术.

背景情况:

  • 单细胞转录组分析正在迅速在深度和广度方面取得进展.
  • 一个关键的挑战是平衡细胞吞吐量与全长转录覆盖率.
  • 现有的方法经常在解决方案,成本或时间方面扎.

研究的目的:

  • 引入CBTi-seq,一种用于高分辨率,全长单细胞转录组测序的新方法.
  • 证明CBTi-seq能够准确地重建拼接变体和结构变异的能力.
  • 为目前的测序方法提供一个成本效益和时间效率高的替代方案.

主要方法:

  • CBTi-seq利用Tn5转化酶进行组合条形码和独特分子标识符 (UMI) 的分子组合.
  • 端到端测序使得转录的基对精确重建成为可能.
  • 坐标条形码设计增强了复杂化的灵活性,而Tn5交付的UMI减少了偏差并提高了量化.

主要成果:

  • 与商业方法相比,CBTi-seq实现了更高的灵敏度和分辨率.
  • 这种方法大大降低了成本和处理时间 (大约5小时).
  • 在基因编辑和人类丸细胞中证明了特定于细胞类型的替代拼接和异型切换的稳健识别.

结论:

  • CBTi-seq为高分辨率的单细胞转录组分析提供了一个强大的工具.
  • 该方法有助于研究复杂的生物过程,如精子生成.
  • CBTi-seq在生殖发育研究和诊断方面有潜在的应用.