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

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...
10.0K
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

Associations of cerebrospinal fluid measures of synaptic function with white matter microstructure and cognition in older adults.

Frontiers in aging neuroscience·2026
Same author

Predicting future cognitive impairment in preclinical Alzheimer's disease using amyloid PET and MRI: A multisite machine learning study.

Neurobiology of aging·2026
Same author

Rostral Associations of MRI Atrophy of the Amygdala and Entorhinal Cortex Across the AD Spectrum.

medRxiv : the preprint server for health sciences·2026
Same author

Automated deep learning pipeline for callosal angle quantification.

Fluids and barriers of the CNS·2025
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same author

Biomarkers.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2025
Same journal

Generative morphodynamic forecasting enables robust zero-shot volumetric medical segmentation.

Medical image analysis·2026
Same journal

ContiMorph: An unsupervised learning framework for cardiac motion tracking with time-continuous diffeomorphism.

Medical image analysis·2026
Same journal

MedP-CLIP: Medical CLIP with region-aware prompt integration.

Medical image analysis·2026
Same journal

Multi-organ guided diagnosis of mild cognitive impairment via hierarchical alignment and knowledge distillation.

Medical image analysis·2026
Same journal

SUDA: Simultaneous unsupervised knowledge distillation and adaptation of foundation models for efficient pathological image analysis.

Medical image analysis·2026
Same journal

Beyond the LUMIR challenge: The pathway to foundational registration models.

Medical image analysis·2026
查看所有相关文章

相关实验视频

Updated: Jul 6, 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

4.9K

用于绘制空间转录组学的网格上的空间特征测量.

Michael I Miller1, Alain Trouvé2, Laurent Younes3

  • 1Center of Imaging Science and Department of Biomedical Engineering, Johns Hopkins University, United States of America.

Medical image analysis
|January 4, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了新的算法,用于绘制老鼠大脑中的基因表达数据. 它可以将分子和细胞数据集成到高级神经信息学的共同坐标系统中.

关键词:
亚特拉斯注册登记 亚特拉斯注册登记大变形差异形态度度测量绘制大变形差异形态度测量分子成像的注册登记.

更多相关视频

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
07:40

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

Published on: May 16, 2025

231
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: Jul 6, 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

4.9K
Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis
07:40

Spatially Compact Arrangement of Larval Zebrafish Sections for Spatial Transcriptomic Analysis

Published on: May 16, 2025

231
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:

  • 神经科学是一个神经科学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 自动显微镜 (例如,MERFISH) 在小鼠大脑中提供高分辨率的基因表达数据.
  • 计算解剖学 (CA) 在组织规模的不同形态映射方面表现出色,但在将分子/细胞数据集成到共同的坐标中却很难.
  • 通过共同坐标对分子和细胞群体的统计平均值仍然是一个挑战.

研究的目的:

  • 开发算法,用于计算在空间的二元形态的地理测量.
  • 扩展大变形差形度量测绘 (LDDMM) 用于集成的空间和分子数据分析.
  • 为了使转录基因数据与标准大脑图谱的交叉模式对齐.

主要方法:

  • 引入了空间特征测量LDDMM算法.
  • 开发了用于计算二元形态空间中的地理测量算法的算法.
  • 以高维特征空间的几何"空间特征测量"形式表示大脑数据.
  • 利用二元形变换来测量这些大脑空间的形状.
  • 采用了从线性空间中嵌入措施中获得的"弦度度量".

主要成果:

  • 成功扩展LDDMM以适应标记粒子上的空间特征作用.
  • 为转录基因数据衍生出了一种新的交叉模式对齐算法.
  • 实现了将映射扩展到组织尺度的持续扩展.
  • 提供了一种测量复杂大脑数据结构之间的度量方法.

结论:

  • 开发的空间特征测量LDDMM算法代表了神经信息学的重大进步.
  • 这项工作弥合了分子水平基因表达和宏观大脑图谱之间的差距.
  • 它为大脑研究中更全面的空间转录组分析铺平了道路.