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RNA-seq03:21

RNA-seq

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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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Next-generation Sequencing03:00

Next-generation Sequencing

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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
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相关实验视频

Updated: Jun 7, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
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时间解析的单细胞转录组测序.

Xing Xu1,2, Qianxi Wen1, Tianchen Lan1

  • 1The MOE Key Laboratory of Spectrochemical Analysis & Instrumentation, The Key Laboratory of Chemical Biology of Fujian Province, State Key Laboratory of Physical Chemistry of Solid Surfaces, Collaborative Innovation Center of Chemistry for Energy Materials, Department of Chemical Biology, Department of Chemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University Xiamen 361005 China cyyang@xmu.edu.cn.

Chemical science
|November 21, 2024
PubMed
概括
此摘要是机器生成的。

时间解析单细胞RNA测序 (scRNA-seq) 方法对于跟踪细胞随时间变化至关重要. 本综述探讨了为scRNA-seq添加"时间"的实验策略,以准确捕获动态基因表达模式.

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Last Updated: Jun 7, 2025

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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.
  • 细胞生物学 细胞生物学

背景情况:

  • 细胞在生理和病理状态下经历持续的转变.
  • 单细胞RNA测序 (scRNA-seq) 揭示了细胞差异,但很难在不同时间点之间将细胞状态联系起来.
  • 对scRNA-seq数据的计算轨迹分析依赖于假设,可能不反映真实的细胞动态.

研究的目的:

  • 综合审查时间解析的单细胞转录组测序方法和应用.
  • 突出将"时间"纳入scRNA-seq中的必要性,以记录动态表达模式的时间记录.
  • 提供对时间解析单细胞转录组学的进展的前性视角.

主要方法:

  • 介绍各种scRNA-seq方法作为单细胞表达概况的基础.
  • 专注于引入scRNA-seq的"时间"的实验策略,详细说明原则,优点和弱点.
  • 在各种场景中比较不同时间定scRNA-seq方法的适应性.

主要成果:

  • 对各种scRNA-seq技术的概述.
  • 详细分析使用"时间"进行时间分析的实验策略.
  • 在免疫,癌症和胚胎发育中的应用概述.

结论:

  • 具有"时间"的时间解析scRNA-seq对于准确研究动态细胞过程至关重要.
  • 与纯计算方法相比,审查的方法提供了更好的时间分辨率.
  • 未来的进步有望增强理解复杂生物系统的能力.