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相关概念视频

RNA-seq03:21

RNA-seq

9.9K
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

88.7K
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 28, 2025

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

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Seq-Scope协议:为高分辨率空间转录学重新使用Illumina测序流细胞.

Yongsung Kim1, Weiqiu Cheng2, Chun-Seok Cho1

  • 1Department of Molecular & Integrative Physiology, University of Michigan Medical School.

bioRxiv : the preprint server for biology
|April 15, 2024
PubMed
概括
此摘要是机器生成的。

Seq-Scope 技术通过重新利用 Illumina 测序来提供高分辨率的空间转录组分析. 这种方法克服了分子生物学和组织学研究现有的空间转录组学 (ST) 工具的局限性.

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RNA-seq Analysis of Transcriptomes in Thrombin-treated and Control Human Pulmonary Microvascular Endothelial Cells
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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.
  • 组织病理学 组织病理学

背景情况:

  • 空间转录学 (ST) 推进了基因表达研究,但面临着像低分辨率和高成本这样的局限性.
  • 传统方法 (例如,免疫染色) 分析有限的基因,阻碍了全面的转录组概况.
  • 现有的ST技术在可扩展性,成本和复杂的方法论上扎.

研究的目的:

  • 为Seq-Scope提供详细的协议,Seq-Scope是一种用于高分辨率空间转录组分析的新技术.
  • 为了证明Seq-Scope能够克服当前ST方法的局限性.
  • 为整合组织学和转录基因数据提供计算管道.

主要方法:

  • 重新利用Illumina NovaSeq 6000平台进行空间转录组分析.
  • 为图像和测序准备冷组织部分的详细协议.
  • 简化了整合空间和转录组数据的计算管道,包括无分割的分析方法.

主要成果:

  • Seq-Scope能够在大面积 (7毫米×7毫米或更大) 上进行高分辨率,高内容的空间转录组分析.
  • 该协议将组织学成像与全面的转录基因组数据相结合.
  • 一种无分割的方法允许微米分辨率空间数据分析.

结论:

  • Seq-Scope将Illumina测序重新用于先进的空间转录学,克服了关键的限制.
  • 详细的协议和计算管道有助于在各种组织中进行高分辨率的空间分析.
  • Seq-Scope是分子生物学和组织学研究的宝贵工具.