Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

RNA-seq03:21

RNA-seq

9.4K
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...
9.4K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

A Massive Open Online Course-Based Flipped Classroom Protocol For Pediatric Puncture Skills Training Among Undergraduate Medical Interns.

Journal of visualized experiments : JoVE·2026
Same author

Switchable Reactivity of Hydrazonoyl Halides: Enabling the Discovery of Potent Hypoxia-Inducible Factor Inhibitors.

JACS Au·2026
Same author

Editorial: Artificial intelligence advancing lung cancer screening and treatment.

Frontiers in oncology·2026
Same author

Characteristics of gut microbiota changes in patients with nasopharyngeal carcinoma during radiotherapy.

Journal of translational medicine·2026
Same author

Sleep-anxiety symptom networks and subgroup characterization in nasopharyngeal carcinoma patients undergoing chemoradiotherapy: A latent profile and network analysis.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026
Same author

Features of low-dose CT-detected lung nodules: individuals who never smoked vs. who smoke(d) in a Chinese general population.

European radiology·2026

相关实验视频

Updated: May 5, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
08:33

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

8.2K

在固定组织中使用具有成本效益的PCL-seq工作流程的高分辨率空间转录学.

Xue Dong1, Mengzhu Hu1, Xiaonan Cui2

  • 1Single Cell Systems Biology Laboratory, College of Marine Life Sciences, Ocean University of China, Qingdao, Shandong 266101, China.

Genome research
|August 5, 2025
PubMed
概括

我们开发了光分离和结测序 (PCL-seq),这是一个新的空间转录组学方法. 这项技术绘制了具有亚细胞分辨率的组织中的基因表达图,适用于冷和FFPE样本.

更多相关视频

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.0K
Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
09:45

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

3.0K

相关实验视频

Last Updated: May 5, 2026

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants
08:33

Laser-Capture Microdissection RNA-Sequencing for Spatial and Temporal Tissue-Specific Gene Expression Analysis in Plants

Published on: August 5, 2020

8.2K
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.0K
Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level
09:45

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

3.0K

科学领域:

  • 分子生物学分子生物学
  • 基因组学就是基因组学.
  • 生物技术是生物技术.

背景情况:

  • 基因表达的空间异质性需要先进的空间转录学技术.
  • 现有的方法在组织兼容性和分辨率方面存在局限性.

研究的目的:

  • 引入光分离和联结测序 (PCL-seq),一种新的空间转录组学方法.
  • 为了证明PCL-seq在冷和FFPE组织中具有亚细胞分辨率的实用性.

主要方法:

  • PCL-seq采用光控制的DNA标记策略,使用可光分离的寡核酸和结适配器.
  • 感兴趣的区域 (ROI) 通过微观控制的光照明来确定,用于有针对性的转录造型.
  • 该方法应用于冷的小鼠胚胎和甲固化嵌 (FFPE) 的小鼠胚胎部分.

主要成果:

  • PCL-seq从冷的小鼠胚胎中生成空间对齐的基因表达矩阵,检测到约17万个UMI和8600个基因 (100微米照明).
  • 该方法成功地在FFPE小鼠胚胎部分 (数字和脊椎) 中识别了数千个差异丰富的转录.
  • 实现了亚细胞分辨率,使核和细胞质区间之间的差异性表达概况成为可能.

结论:

  • PCL-seq是一种可访问和多功能的工作流程,用于空间转录组分析.
  • 该技术与冷和FPE组织兼容.
  • PCL-seq为详细的空间基因表达研究提供了具有亚细胞分辨率的高质量数据.