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相关概念视频

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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.
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RNA-seq03:21

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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. 
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相关实验视频

Updated: May 15, 2025

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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通过MATQ-seqq对单个细菌进行转录基因分析.

Christina Homberger1, Fabian Imdahl2,3, Regan J Hayward3

  • 1Institute of Molecular Infection Biology (IMIB), University of Würzburg, Würzburg, Germany.

Nature protocols
|April 9, 2025
PubMed
概括
此摘要是机器生成的。

我们使用MATQ-seq开发了一种强大的细菌单细胞RNA测序 (scRNA-seq) 协议,实现95%的细胞保留,并检测每细胞300-600个基因. 这种方法可以在细菌中进行详细的基因表达分析.

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Massively Parallel Reporter Assays in Cultured Mammalian Cells
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Last Updated: May 15, 2025

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

  • 微生物学 微生物学
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 细菌单细胞转录组学为细胞对细胞的变异提供了洞察力.
  • 现有的方法面临着细胞保留和有限的输入材料的挑战.

研究的目的:

  • 开发和介绍一种强大的细菌单细胞RNA测序 (scRNA-seq) 协议.
  • 为了使复杂的微生物群落中的基因表达概况成为可能.

主要方法:

  • 适应了真核生物的MATQ-seq方法用于细菌.
  • 综合索引分类,随机原始化和rRNA耗尽.
  • 使用光激活细胞分类 (FACS) 进行单细胞隔离.
  • 采用机器人液体处理用于cDNA放大.
  • 包括对转录基因数据的计算分析.

主要成果:

  • 实现了95%的细胞保留率,超过了现有的协议.
  • 成功检测到每细胞300-600个基因,表明广泛的转录基因捕获.
  • 在像Salmonella enterica.这样的细菌物种中表现出强性.
  • 在大约5天内完成了从细胞隔离到原始数据生成的过程.

结论:

  • 开发的细菌scRNA-seq协议非常高效和可靠.
  • 它为研究单细胞水平上的细菌种群提供了显著的改进.
  • 这种方法对简化微生物scRNA-seq平台具有前景.