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相关概念视频

RNA-seq03:21

RNA-seq

10.0K
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: Jul 9, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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单细胞RNA-Seq分析的实用指南针

Hiroyuki Okada1,2,3, Ung-Il Chung4,5, Hironori Hojo4,5

  • 1Center for Disease Biology and Integrative Medicine, Graduate School of Medicine, The University of Tokyo, Bunkyo-Ku, Tokyo, 113-8655, Japan. hokada-tky@g.ecc.u-tokyo.ac.jp.

Current osteoporosis reports
|November 29, 2023
PubMed
概括

本综述指导研究人员通过单细胞RNA测序 (scRNA-seq) 数据分析,从处理数据集到可视化结果. 它强调了scRNA-seq在骨生物学中的应用,以及需要改进分析工具的需求.

关键词:
计算分析 计算分析干燥分析 干燥分析一个实用的指南针.一个单细胞RNA-seqq.转录组 转录组就是一个转录组.

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相关实验视频

Last Updated: Jul 9, 2025

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科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.
  • 细胞生物学 细胞生物学

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 越来越多地用于研究细胞异质性和相互作用.
  • 骨生物学中的应用包括骨质细胞分化,骨折愈合和骨发育.
  • 目前正在开发用于配体受体和轨迹分析的用户友好软件包.

研究的目的:

  • 为基本的scRNA-seq数据分析提供逐步说明.
  • 为scRNA-seq.中的复杂分析过程提供指南.
  • 为了解决在scRNA-seq分析中更新信息和知识共享的需求.

主要方法:

  • 审查scRNA-seq数据处理中的基本过程.
  • 解释绘图和绘图轨迹的方法.
  • 讨论可用的用户友好的scRNA-seq包.

主要成果:

  • scRNA-seq揭示了细胞异质性和细胞类型相互作用.
  • 使用scRNA-seq. 检查了许多骨生物学过程.
  • 包括数据集集成在内的scRNA-seq数据分析工具仍在开发中.

结论:

  • 研究人员需要分享知识,以便更好地对scRNA-seq数据进行生物学解释.
  • 本综述为复杂的scRNA-seq分析过程提供了宝贵的指南.
  • 持续开发分析工具对于推进scRNA-seq研究至关重要.