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RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...

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相关实验视频

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Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
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standR:用于GeoMx DSP数据的空间转录组分析.

Ning Liu1,2,3, Dharmesh D Bhuva1,2,3, Ahmed Mohamed1,2

  • 1Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, Victoria 3052, Australia.

Nucleic acids research
|November 12, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了standR,这是一个用于分析纳米链GeoMx数字空间分析器 (DSP) 数据的R包. standR通过解决基因表达数据的技术变异性来提高空间转录组学分析的准确性和统计能力.

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科学领域:

  • 空间转录组学 空间转录组学
  • 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:

  • 了解组织中的基因表达需要空间上下文.
  • 纳米链GeoMx数字空间分析仪 (DSP) 可实现空间解析的转录组测量.
  • 目前用于GeoMx DSP数据的生物信息管道面临技术变化和复杂设计的困难.

研究的目的:

  • 为了介绍standR,一个R/生物导体包,用于对GeoMx DSP数据进行端到端分析.
  • 为了解决当前GeoMx数据分析管道中的局限性.
  • 提高空间转录学研究的准确性和可靠性.

主要方法:

  • 标准R R/生物导体包的开发.
  • 实施GeoMx DSP数据的质量控制工作流程.
  • 分析了四个先前发表的GeoMx DSP实验.

主要成果:

  • 标准R工作流有效地解释了GeoMx DSP数据中的技术变化.
  • standR增强了空间转录学数据分析的统计能力.
  • 案例研究表明,standR能够产生深入的生物学见解.

结论:

  • standR提供了一个强大的解决方案来分析GeoMx DSP数据.
  • 该套件提高了空间基因表达研究的可靠性和解释性.
  • standR使科学家能够从空间分析实验中获得更深入的生物学见解.