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

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

Deep learning analysis of breast cancer histology predicts ATM pathogenic variant carrier status.

NPJ digital medicine·2026
Same author

Correction: A Randomized clinical trial evaluating the impact on survival and quality of life of 177Lutetium[Lu]-edotreotide versus everolimus in patients with neuroendocrine tumors of the lung and thymus: the LEVEL study (GETNE T-2217).

BMC cancer·2026
Same author

Neuroendocrine tumours through an epigenetic lens: Emerging insights for diagnosis and treatment.

Journal of neuroendocrinology·2026
Same author

Broadening the View: Substance P and Its Metabolism in Pruritus-Related Diseases.

The Journal of dermatology·2026
Same author

[<sup>177</sup>Lu]Lu-dota-tate versus sunitinib in patients with metastatic progressive neuroendocrine tumours of the pancreas (OCLURANDOM): a randomised, controlled, phase 2 trial.

The Lancet. Oncology·2026
Same author

Large Language Models for Patient Education: Insights from Cross-Lingual Expert Evaluation in Radioligand Therapy for Neuroendocrine Tumors.

Journal of cancer education : the official journal of the American Association for Cancer Education·2026
Same journal

Genetic origins and constraints of evolutionary innovation.

Nature reviews. Genetics·2026
Same journal

Single-cell four-omics with CHARM.

Nature reviews. Genetics·2026
Same journal

Molecular integration of seasonal temperature signals in flowering time control.

Nature reviews. Genetics·2026
Same journal

RBPscan measures protein-RNA interactions in living cells.

Nature reviews. Genetics·2026
Same journal

Revisiting retinal and macular degeneration in the genomics era.

Nature reviews. Genetics·2026
Same journal

How evolution builds three morphs from one genome.

Nature reviews. Genetics·2026
查看所有相关文章

相关实验视频

Updated: May 16, 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

空间转录组学的细胞类型解卷方法.

Lucie C Gaspard-Boulinc1,2,3, Luca Gortana1,2,3, Thomas Walter1,2,3

  • 1Institut Curie, PSL University, Paris, France.

Nature reviews. Genetics
|May 14, 2025
PubMed
概括
此摘要是机器生成的。

空间转录学揭示了细胞组织,但缺乏细胞分辨率. 先进的解卷方法对于推断空间转录组学数据中的细胞类型至关重要,有助于组织分析.

更多相关视频

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
Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells
11:26

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

13.7K

相关实验视频

Last Updated: May 16, 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
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
Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells
11:26

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

13.7K

科学领域:

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

背景情况:

  • 空间转录学对于理解多细胞生命至关重要.
  • 目前的方法缺乏细胞层次的分辨率,需要先进的技术.
  • 细胞类型的解卷是解释空间转录学数据的关键.

研究的目的:

  • 审查空间转录组学的多种细胞类型解卷方法.
  • 为了对比各种解卷工具的功能.
  • 为有效的方法选择提供资源.

主要方法:

  • 空间转录学解卷技术的文献综述.
  • 对解卷方法性能进行比较分析.
  • 开发一个互动的基于Web的表格,用于方法比较.

主要成果:

  • 识别各种细胞类型解方法.
  • 强调不同方法的优点和局限性.
  • 一个结构化的摘要,以指导研究人员在工具选择.

结论:

  • 细胞类型的解卷对于推进空间转录组学是必不可少的.
  • 对现有方法的全面了解有助于研究.
  • 互动表作为研究人员的实用指南.