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相关概念视频

Ribosome Profiling02:24

Ribosome Profiling

3.5K
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...
3.5K
Improving Translational Accuracy02:07

Improving Translational Accuracy

9.7K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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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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Transfer RNA Synthesis02:36

Transfer RNA Synthesis

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One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
Each of these chemical modifications is carried by a specific enzyme, post-transcription. All of these enzymes have unique base and site-specificity. Methylation, the most common chemical modification, is carried by at least nine different enzymes, with...
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相关实验视频

Updated: Jun 18, 2025

Genome-wide Analysis of Aminoacylation Charging Levels of tRNA Using Microarrays
07:32

Genome-wide Analysis of Aminoacylation Charging Levels of tRNA Using Microarrays

Published on: June 18, 2010

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通过tRNA-Seqq测量氨基化的一种可靠方法.

Kristian Davidsen1,2, Lucas B Sullivan1

  • 1Human Biology Division, Fred Hutchinson Cancer Research Center, Seattle, United States.

eLife
|July 30, 2024
PubMed
概括
此摘要是机器生成的。

我们开发了一种优化的电荷转移RNA测序 (tRNA-Seq) 方法,用于精确和准确的tRNA电荷测量. 这种强大的协议量化了tRNA氨基化,并支持tRNA生物学中的多种应用.

关键词:
怀特菲尔德反应是一种反应.氨基化是氨基化的一种.生物化学 生物化学化学生物学 化学生物学人类 人类 人类 人类 人类 人类 人类小RNA测序的测序方法这是一个tRNARNA.tRNA 的稳定性这就是tRNA-Seqq.

更多相关视频

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli
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Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Published on: August 22, 2017

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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

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相关实验视频

Last Updated: Jun 18, 2025

Genome-wide Analysis of Aminoacylation Charging Levels of tRNA Using Microarrays
07:32

Genome-wide Analysis of Aminoacylation Charging Levels of tRNA Using Microarrays

Published on: June 18, 2010

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Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli
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Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Published on: August 22, 2017

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Author Spotlight: AQRNA-seq Role in Mapping Small RNAs and Unraveling Protein Translation Mechanisms
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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.
  • 生物化学 生物化学

背景情况:

  • 量化tRNA电荷 (氨基化分数) 对于理解蛋白质合成至关重要.
  • 目前用于测量tRNA电荷的方法在吞吐量,精度和准确性方面存在局限性.

研究的目的:

  • 介绍一种优化的电荷转移RNA测序 (tRNA-Seq) 方法,用于精确和准确的tRNA电荷测量.
  • 提供可扩展的端到端协议,并配备用于高吞吐量分析的软件.
  • 证明该方法用于测量相对tRNA表达和推断修改的多功能性.

主要方法:

  • 电荷转移RNA测序 (tRNA-Seq) 协议的优化.
  • 整合现有和新技术,以提高准确性和精度.
  • 开发软件,用于大型样本集的自动化数据处理.

主要成果:

  • 优化的tRNA-Seq方法提供了对tRNA氨基化的强大而准确的量化.
  • 该协议可扩展到数百个样本,促进大规模研究.
  • 该方法成功地测量了相对tRNA表达水平,并推断了tRNA的修改.

结论:

  • 提出的tRNA-Seq方法为精确的tRNA电荷量化提供了显著的进步.
  • 这种多功能工具支持tRNA生物学中的多种应用,包括表达分析和修改推断.
  • 开发的端到端协议和软件能够对tRNA氨基化进行高通量,准确的分析.