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相关概念视频

RNA-seq03:21

RNA-seq

9.8K
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...
9.8K
Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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相关实验视频

Updated: May 27, 2025

Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs
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Improving Small RNA-seq: Less Bias and Better Detection of 2'-O-Methyl RNAs

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短读RNA-Seq数据中不均覆盖的来源

Thomas G Brooks1, Nicholas F Lahens1, Antonijo Mrčela1

  • 1Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA.

bioRxiv : the preprint server for biology
|February 20, 2025
PubMed
概括

RNA拼接对于细胞功能至关重要,但RNA-Seq数据显示覆盖范围不均. 这项研究调查了八个来源,没有发现单一的原因,并挑战了关于RNA-Seq分析的先前假设.

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Identification of Alternative Splicing and Polyadenylation in RNA-seq Data
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相关实验视频

Last Updated: May 27, 2025

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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.
  • 生物信息学是一种生物信息学.

背景情况:

  • RNA拼接对于正常的细胞功能和疾病至关重要.
  • 短读RNA测序 (RNA-Seq) 是转录组量化的标准.
  • 跨转录的RNA-Seq覆盖的极端不均性是一个主要的技术工件,阻碍了准确的异形水平分析.

研究的目的:

  • 识别和调查RNA-Seq库准备中的不统一性来源.
  • 批判性地评估影响RNA-Seq覆盖范围的因素,挑战现有假设.

主要方法:

  • 探索八个潜在的不统一来源.
  • 针对碎片长度,PCR升级率和核糖体枯竭的有针对性的实验.
  • 评估现有数据集的样本质量,PCR周期和逆转录酶的变化.

主要成果:

  • RNA-Seq覆盖的不均是多因素的,不能归因于单一的原因.
  • 二次结构不太可能显著干扰反转录.
  • 核糖体枯竭方法不会引入非均性.
  • PCR升级率和片段长度对覆盖范围的不均性影响很小,这与之前的建议相矛盾.

结论:

  • 由于覆盖不均的多因素性质,现有的RNA-Seq协议和分析方法可能需要重新评估.
  • 这些发现挑战了关于RNA-Seq文物的常见假设和先前出版物.