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相关概念视频

RNA-seq03:21

RNA-seq

12.3K
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

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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: Mar 12, 2026

A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues
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A Method for Measuring RNA N6-methyladenosine Modifications in Cells and Tissues

Published on: December 5, 2016

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核m6A-Label-Seq使转录组范围内的核m6A在单基分辨率下进行分析.

Chenyang Huang1, Xiner Ying1, Xiao Shu2

  • 1MOE Key Laboratory of Macromolecular Synthesis and Functionalization, Department of Polymer Science and Engineering, Zhejiang University, Hangzhou 310058, China.

ACS chemical biology
|March 10, 2026
PubMed
概括
此摘要是机器生成的。

核m6A-label-seq能够精确地映射核非编码RNA中的N6M-甲基氨酸 (m6A). 这种方法提供了核m6的高分辨率分析,具有减少输入和更快的图书馆构建的表转录组.

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科学领域:

  • 分子生物学分子生物学
  • 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
  • 在RNA生物学,RNA生物学.

背景情况:

  • 在mRNA调节中,N6 - - 甲基氨酸 (m6A) 修饰至关重要,但它在核非编码RNA中的作用不太了解.
  • 现有的m6A分析方法缺乏单基分辨率,或者没有针对核RNA进行优化.

研究的目的:

  • 开发和验证一种新的方法,Nuclear-m6A-label-seq,用于核非编码RNA中m6A的高分辨率,全转录组映射.
  • 为高效的核m6的详细协议提供A表表转录组概况.

主要方法:

  • 核-m6A-label-seq利用在腺位上用基组进行代谢标记,然后转化为循环腺 (cyc-A).
  • 艾滋病毒逆转录酶在cDNA合成过程中诱导循环-A位点的基因错误整合,使单基因分辨率映射成为可能.
  • 该协议包括连续核RNA隔离,rRNA枯竭和使用rMATS-DVR管道进行分析.

主要成果:

  • 与以前的方法相比,核-m6A-label-seq显著减少了RNA输入 (5μg) 和库建设时间 (~6h).
  • 该方法捕获了多基和非多基核转录.
  • 通过将读数与T2T-CHM13人类基因组对齐,可以准确地绘制m6A位点,包括重复区域.

结论:

  • 核m6A-label-seq是一种直接的,高分辨率的,高效的方法,用于对核m6A表转录组进行分析.
  • 这种方法有助于研究核非编码RNA中的m6A功能.
  • 详细的协议使得表表表转录学研究能够得到更广泛的采用和推进.