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

DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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

Mapping the Cell-Cell Interactions in Cardiovascular Diseases: A Single-Cell Atlas Perspective.

Korean circulation journal·2026
Same author

Identification of distinct clinical phenotypes and their neurobiological signatures in stress-exposed individuals: A multimodal machine learning approach.

European psychiatry : the journal of the Association of European Psychiatrists·2026
Same author

Universal conditional knockout approach to multiple species, from fish to human induced pluripotent stem cells.

Nucleic acids research·2026
Same author

Analysis of unmapped RNA-seq data from cancer spatial transcriptome toward characterizing cancer microbiome.

Scientific reports·2026
Same author

Dynamic recovery of piriform cortex function and its impact on cognitive processing speed following mild COVID-19.

BMC neurology·2026
Same author

Network-level structural alterations distinguish persistent from remitted post-traumatic stress disorder: a morphometric covariance approach.

European journal of psychotraumatology·2026
Same journal

Cancer immunotherapy with oncolytic myxoma virus.

Advances in cancer research·2026
Same journal

Cancer terminator viruses: Unique conditionally replication competent oncolytic viruses producing therapeutic anti-cancer immunomodulating agents.

Advances in cancer research·2026
Same journal

Advancing clinical translation of oncolytic adenoviruses.

Advances in cancer research·2026
Same journal

Operation oncolysis: Reoviruses in the theater of cancer war.

Advances in cancer research·2026
Same journal

AAV vectors for cancer gene therapy.

Advances in cancer research·2026
Same journal

Vesicular stomatitis virus (VSV) as an oncolytic therapeutic agent for cancer.

Advances in cancer research·2026
查看所有相关文章

相关实验视频

Updated: Jun 21, 2026

Adapting 3' Rapid Amplification of CDNA Ends to Map Transcripts in Cancer
09:38

Adapting 3' Rapid Amplification of CDNA Ends to Map Transcripts in Cancer

Published on: March 28, 2018

12.3K

目前用于癌症生物学中的空间转录组学的计算方法.

Jaewoo Mo1, Junseong Bae2, Jahanzeb Saqib1

  • 1School of Systems Biomedical Science, Soongsil University, Dongjak-Gu, Seoul, Republic of Korea.

Advances in cancer research
|September 13, 2024
PubMed
概括
此摘要是机器生成的。

本综述涵盖了癌症生物学中的空间转录学计算方法. 它强调了这些技术如何帮助理解瘤细胞在其组织微环境中的行为,这对癌症研究至关重要.

关键词:
细胞细分 细胞细分解体解体是一种解体.利基基因分析 (Niche Gene Analysis) 是一种基因分析方法.空间转录组学 空间转录组学组织领域分析分析.瘤微环境是一个微环境.

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

4.9K
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.6K

相关实验视频

Last Updated: Jun 21, 2026

Adapting 3' Rapid Amplification of CDNA Ends to Map Transcripts in Cancer
09:38

Adapting 3' Rapid Amplification of CDNA Ends to Map Transcripts in Cancer

Published on: March 28, 2018

12.3K
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
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.6K

科学领域:

  • 计算生物学是一种计算生物学.
  • 癌症研究 癌症研究
  • 基因组学就是基因组学.

背景情况:

  • 多细胞生物依赖于自我组织系统中的细胞-细胞相互作用.
  • 癌症是由这个复杂的微环境中的细胞功能障碍引起的.
  • 单细胞RNA测序提供了转录组数据,但失去了空间上下文.

研究的目的:

  • 审查用于分析癌症生物学中的空间转录学数据的计算方法.
  • 为了弥合基因表达数据和瘤微环境中的细胞行为之间的差距.
  • 强调空间信息对于理解癌症发展的重要性.

主要方法:

  • 对现有的计算和统计方法的审查.
  • 专注于适用于空间转录学数据的技术.
  • 将基因表达与空间位置信息的整合.

主要成果:

  • 空间转录学保留了关键的细胞地址和邻居信息,这些信息在单细胞解离中丢失.
  • 计算方法对于解释复杂的空间转录数据至关重要.
  • 这些方法可以更深入地了解瘤细胞相互作用和微环境.

结论:

  • 计算方法对于释放癌症研究中的空间转录组学的潜力至关重要.
  • 了解空间关系是解读癌症自我组织原理的关键.
  • 本综述为将先进的计算工具应用于癌症空间生物学提供了基础.