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

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

4.6K
4.6K
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...
3.5K

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

Natural polysaccharides targeting mitochondrial function for colorectal cancer prevention and treatment: mechanisms and nano-delivery strategies.

Chinese medicine·2026
Same author

Sesquiterpenoids isolated from the leaves of Aucklandia costus and their inhibitory effect on nitric oxide production.

Phytochemistry·2026
Same author

An EMI-suppressed, high-fidelity Janus bioelectrode with gradient impedance for accurate dual-biosignal-based motion recognition.

Science bulletin·2026
Same author

A Survey of Voice Care for Students and Professionals in Broadcasting and Hosting Arts Major: A Cross-Sectional Study.

Journal of voice : official journal of the Voice Foundation·2026
Same author

Circadian rhythms and lung cancer biology and immunotherapy: Emerging opportunities and challenges.

Chinese medical journal pulmonary and critical care medicine·2026
Same author

High-dose furmonertinib as first-line treatment for untreated EGFR-mutated advanced NSCLC with central nervous system metastases: A phase 2 trial.

Cell reports. Medicine·2026

相关实验视频

Updated: Jun 8, 2025

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

4.8K

基于图域适应的基因表达增强和细胞类型识别框架,用于大规模空间解析的转录组学.

Rongbo Shen1,2,3, Meiling Cheng2,4, Wencang Wang2

  • 1GMU-GIBH Joint School of Life Sciences, The Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou Medical University, No. 1 Xinzao Road, Xinzao Town, Panyu District, Guangzhou 510005, China.

Briefings in bioinformatics
|November 7, 2024
PubMed
概括

深度学习框架SpaGDA通过改进基因检测和细胞类型识别来增强空间转录组学. 它有效地从单细胞RNA测序数据中转移知识,提供更准确的生物见解.

关键词:
细胞类型识别 细胞类型识别深度学习基于图域调整的图域调整.基因表达增强 基因表达增强图表 卷积网络 卷积网络空间分辨率的转录学

更多相关视频

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K
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

2.9K

相关实验视频

Last Updated: Jun 8, 2025

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

4.8K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K
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

2.9K

科学领域:

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

背景情况:

  • 空间解析转录组学 (SRT) 提供了与空间背景的基因表达概况.
  • 当前的SRT技术在转录检测灵敏度和基因吞吐量方面面临局限性,影响数据精度和覆盖范围.

研究的目的:

  • 推出SpaGDA,一个基于深度学习的图域适应框架.
  • 解决SRT数据中的基因表达归算和细胞类型识别挑战.
  • 利用参考单细胞RNA测序 (scRNA-seq) 数据进行改进的分析.

主要方法:

  • 开发了SpaGDA,这是一个利用深度学习的图域适应框架.
  • 应用SpaGDA来归因基因表达和识别SRT数据集中的细胞类型.
  • 与多个SRT数据集和生物背景中的最先进的方法对比SpaGDA的基准.

主要成果:

  • 与现有的方法相比,SpaGDA在基因表达赋值和细胞类型识别方面表现出更高的有效性.
  • 该框架成功地从公共地图集和文献中恢复了已有的生物知识.
  • SpaGDA产生了更多信息的空间基因表达模式.

结论:

  • SpaGDA有效地克服了当前SRT技术的局限性.
  • 该框架为生物过程和疾病发展提供了更准确的见解.
  • SpaGDA是推动空间转录学研究的宝贵工具.