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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

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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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RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

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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...
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相关实验视频

Updated: Jan 10, 2026

Transcriptome Analysis of Single Cells
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Transcriptome Analysis of Single Cells

Published on: April 25, 2011

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使用UltraMarathonRT的单细胞RNA-seq扩展了已知的转录组.

Chia-Ling Chou1, Anastasiya Grinko1, Li-Tao Guo2,3

  • 1Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz Centre for Infection Research (HZI), Würzburg, Germany.

bioRxiv : the preprint server for biology
|November 24, 2025
PubMed
概括
此摘要是机器生成的。

一种名为UltraMarathonRT (uMRT) 的新酶通过捕获更多的基因和基因组特征来增强单细胞RNA测序 (scRNA-seq). 这种突破性的工具提供了对细胞身份和转录组动态的更深入的了解.

关键词:
超级马拉松RTRT 的时间代谢标签是指代谢标签.反向转录酶的使用在 scSLAM-seqq 中使用.一个单细胞RNA-seqq.模板切换 模板切换 模板切换

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相关实验视频

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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:

  • 单细胞RNA测序 (scRNA-seq) 正通过详细描述细胞身份来彻底改变生物学.
  • 目前的scRNA-seq方法使用逆转录酶 (RT) 酶,但在过程性和RNA结构展开方面存在局限性.
  • 源自小鼠白血病病毒的RT是标准的,但错过了复杂的RNA结构.

研究的目的:

  • 为scRNA-seq应用引入一种新的逆转录酶.
  • 为了评估II组内部逆转录酶UltraMarathonRT (uMRT) 在scRNA-seq.中的性能.
  • 使用 uMRT 探索增强的转录组分析.

主要方法:

  • 开发和实施了UltraMarathonRT (uMRT),这是一个II组内部反转录酶,用于scRNA-seq.
  • 在捕获RNA分子方面,与传统RT相比,对 uMRT 的性能进行了比较.
  • 集成的MRT与代谢RNA标记和核酸转化用于动态转录组分析.

主要成果:

  • 与传统RT相比,mRT捕获了更广泛的基因和基因组特征.
  • 该酶揭示了以前无法访问的扩展的转录组学景观.
  • 结合的方法使得在单细胞水平上探索全基因组转录组动力学成为可能.

结论:

  • 超级马拉松RT (uMRT) 显著提升了scRNA-seq的能力.
  • uMRT克服了传统RT的局限性,为转录组提供了更全面的视图.
  • 这种新型酶是单细胞转录组学研究的转化工具.