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 Signaling in Plants01:25

Cell Signaling in Plants

6.1K
Plant cells communicate to coordinate their cycle of growth, flowering and fruiting, and activities in roots, shoots, and leaves in response to the changing environmental conditions. Plant signaling is distinct from animal signaling. Plants primarily utilize enzyme-linked receptors, whereas the largest class of cell-surface receptors in animals are G-protein coupled receptors (GPCRs). Unlike animals, receptor tyrosine kinases are rare in plants. Instead, plants have a diverse class of...
6.1K

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

Letter to the Editor: Response to outcomes of "right <i>vs</i> left kidney".

World journal of transplantation·2026
Same author

Numerical analysis of magnetized Ag-Fe<sub>3</sub>O<sub>4</sub>/VPO hybrid nanofluid flow over a spinning inclined disc with Thompson-Troian slip.

Discover nano·2026
Same author

Decoding core molecular mechanisms of heat-stress tolerance in Brassica napus using transcriptomics and machine learning.

Plant cell reports·2026
Same author

Integrative transcriptomic and genome wide analysis reveals class III peroxidase responses to abiotic stresses in Selenicereus undatus.

Journal of biotechnology·2026
Same author

Sonochemically synthesized CuO-NPs: individual and synergistic toxicity assessment with sodium arsenite in adult zebrafish.

RSC advances·2026
Same author

Surgical Complexities in Kidney Transplant of a Redo Donor and Recipient: A Case Report.

Experimental and clinical transplantation : official journal of the Middle East Society for Organ Transplantation·2026

相关实验视频

Updated: Jan 7, 2026

Isolation and Transcriptome Analysis of Plant Cell Types
08:53

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

2.0K

通过单细胞转录组学探测植物中的细胞景观.

Babar Usman1, Naveed Khan1, Yiming Wang2

  • 1Department of Plant Bioscience, Life and Industry Convergence Research Institute, Pusan National University, Miryang, South Korea.

Plant science : an international journal of experimental plant biology
|December 27, 2025
PubMed
概括

单细胞RNA测序 (scRNA-seq) 揭示了植物细胞的多样性和应激反应. 这项技术通过提供对植物发育的高分辨率洞察力,有助于基因发现和特征改进.

关键词:
细胞层的细胞层.基因表达的基因表达方式植物组织组织的植物组织.单细胞转录基因组测序压力反应应对压力的反应.

更多相关视频

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

8.7K
Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.5K

相关实验视频

Last Updated: Jan 7, 2026

Isolation and Transcriptome Analysis of Plant Cell Types
08:53

Isolation and Transcriptome Analysis of Plant Cell Types

Published on: April 7, 2023

2.0K
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

8.7K
Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.5K

科学领域:

  • 植物生物学 植物生物学
  • 基因组学就是基因组学.
  • 发育生物学是发展生物学.

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 提供了对植物细胞异质性的高分辨率见解.
  • 在植物中,scRNA-seq与功能基因组学和空间技术的整合是有限的,造成知识差距.

研究的目的:

  • 在各种植物组织中合成scRNA-seq应用.
  • 突出scRNA-seq在了解植物发育,应激反应和基因调节方面的作用.
  • 在植物中探索空间转录组学和多组学方法.

主要方法:

  • 在各种植物物种和组织中对scRNA-seq研究的全面审查.
  • 对数据的分析,将转录学与染色质可访问性或蛋白质表达性整合起来.
  • 评估植物scRNA-seq.q.中的技术挑战和潜在解决方案.

主要成果:

  • scRNA-seq揭示了发育轨迹,血统动态和细胞类型特定的转录程序.
  • 揭示了细胞层特定的应激反应,并有助于追踪专门的代谢物生产.
  • 通过CRISPR/Cas9验证,可以精确识别候选基因以改善特征.

结论:

  • 单细胞和空间转录学显著提升了植物的基因发现和特征改进.
  • 这些技术为植物组织的发展和适应提供了高分辨率的洞察力.
  • 应对技术挑战将进一步释放植物科学中这些强大的工具的潜力.