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相关概念视频

RNA-seq03:21

RNA-seq

9.8K
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...
9.8K
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...
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相关实验视频

Updated: Jun 4, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

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从双模,单细胞RNA测序数据中探索转录方式.

Enikő Regényi1,2, Mir-Farzin Mashreghi1, Christof Schütte3

  • 1Systems Rheumatology, German Rheumatism Research Centre Berlin, Virchowweg 12, 10117 Berlin, Germany.

NAR genomics and bioinformatics
|December 20, 2024
PubMed
概括

这项研究引入了一种新的圆方法来分析双模单细胞RNA测序数据,揭示了四种不同的基因表达模式. 这些方法有助于识别基因,这些基因对于区分细胞表型至关重要,超出了传统方法.

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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells

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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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Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

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相关实验视频

Last Updated: Jun 4, 2025

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10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

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Multiplexed Single Cell mRNA Sequencing Analysis of Mouse Embryonic Cells
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科学领域:

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

背景情况:

  • 双模单细胞RNA测序 (scRNA-seq) 数据越来越多地用于生物途径分析.
  • 目前的方法主要使用RNA速度用于表型轨迹,忽略了2D数据中的形状信息.

研究的目的:

  • 开发一种用于分析2D双模式scRNA-seq数据中的形状信息的新方法.
  • 识别新的基因表达方式及其生物学解释.

主要方法:

  • 二维RNA-seq数据的圆参数化.
  • 统计数据的推导,以揭示不同的基因表达方式.
  • 应用于细胞周期和结直肠癌数据集.

主要成果:

  • 从圆参数化确定了四种不同的基因表达模式.
  • 解释模式作为拼接,转录或降解速率变化的指标.
  • 发现了基因划分表型的基因,这些基因被差异基因表达分析 (DGEA) 遗漏了.

结论:

  • 新的圆参数化方法扩展了双模scRNA-seq数据的分析.
  • 这些已识别的模式为发现表型定义基因提供了一种新的方法.
  • 纳入RNA处理洞察力可以增强监管和生物标志物发现分析.