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相关概念视频

RNA-seq03:21

RNA-seq

11.7K
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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Ribosome Profiling02:24

Ribosome Profiling

4.0K
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: Jan 8, 2026

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
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Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

Published on: February 2, 2024

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比较新型低输入总RNA-Seq方法

Brennan Grimes1, Kaitlyn DenHaan2, Katelyn Becker1

  • 1Genomics Core Van Andel Institute.

Journal of biomolecular techniques : JBT
|December 18, 2025
PubMed
概括
此摘要是机器生成的。

两个新的RNA测序 (RNA-seq) 库准备套件被评估为低输入应用. 虽然这两个套件都生成了库,但都没有针对低输入进行优化,显示了可变性并需要进一步开发以获得高质量的结果.

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
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相关实验视频

Last Updated: Jan 8, 2026

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
05:12

Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms

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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

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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:

  • 低输入RNA测序 (RNA-seq) 传统上需要专门的工具包.
  • 塔卡拉生物的SMARTer串联总RNA-Seq套件v3-Pico是高质量的低输入库的标准.
  • 来自Watchmaker Genomics和Quantabio的新套件提供了更广泛的输入范围,可能提高了可访问性和可负担性.

研究的目的:

  • 为了比较评估Watchmaker和Quantabio RNA-seq套件对于低输入应用的适用性.
  • 将这些新型套件与已建立的塔卡拉生物Pico套件进行基准测试.
  • 在不同的输入量 (250 pg,1 ng,10 ng) 中评估图书馆质量指标.

主要方法:

  • 对三个RNA-seq库准备套件进行比较评估:Watchmaker RNA库准备套件,Quantabio sparQ RNA-Seq HMR套件和Takara Bio SMARTer串联总RNA-Seq套件v3-Pico.
  • 使用了三个输入量 (250 pg,1 ng,10 ng) 的不同质量的三个总RNA样本.
  • 在NovaSeq 6000上执行对结50bp序列,每个库产生1300万个读数.

主要成果:

  • 这两种新套件都成功地在所有测试的输入级别上生成了下一代测序库.
  • 在图书馆多样性,重复阅读比例,检测到的转录,检测灵敏度和核rRNA含量方面观察到变化.
  • 两种新的工作流都没有证明对低输入量 (250 pg 到 10 ng) 进行特定优化.

结论:

  • 评估的Watchmaker和Quantabio套件可以从低输入量产生RNA-seq库.
  • 为了使这些套件在250 pg到10 ng的输入范围内始终产生高质量的库,需要进一步优化.
  • 市场标准的塔卡拉生物套件仍然是低输入RNA-seq.的可靠选择.