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

Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

5.6K
Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
5.6K

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

Multi-omic profiling of human antibody-secreting cells reveals diverse subsets sustain durable humoral immunity.

bioRxiv : the preprint server for biology·2026
Same author

Integrating Three Functional Subsets of T Cell Immunity Into an Integrative Model for Cancer Immunotherapy.

Immune network·2026
Same author

Modulating AP-1 enables CAR T cells to establish an intratumoral stemlike reservoir and overcomes resistance to PD-1 blockade.

Science immunology·2026
Same author

Evaluating the practical aspects and performance of commercial single-cell RNA sequencing technologies.

NAR genomics and bioinformatics·2026
Same author

Seeing First: Introducing the Resource Report at Cancer Immunology Research.

Cancer immunology research·2025
Same author

Circulating Neoantigen- and Viral Oncoprotein-Specific CD8+ T Cells Share a Transcriptional Signature.

Cancer immunology research·2025
Same journal

Layered social competition coordinates reproductive hierarchy formation in ants.

bioRxiv : the preprint server for biology·2026
Same journal

Combination epigenetic-targeted therapy increases the immunogenicity of poorly immunogenic sarcomas.

bioRxiv : the preprint server for biology·2026
Same journal

Loss of LanC-like proteins delays post-injury regeneration of aging skeletal muscles.

bioRxiv : the preprint server for biology·2026
Same journal

Integrative Transfer Network: Deep Transfer Learning Across Populations and Prediction Targets.

bioRxiv : the preprint server for biology·2026
Same journal

Confidence-supported label-free metabolic imaging with FPhaS phase autofluorescence microscopy.

bioRxiv : the preprint server for biology·2026
Same journal

Sequence-encoded autoinhibition couples mRNA decapping activity to phase separation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jun 27, 2025

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth
13:11

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Published on: May 20, 2010

12.8K

细胞模拟作为细胞细分的模拟.

Daniel C Jones1,2, Anna E Elz2, Azadeh Hadadianpour2

  • 1Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington, USA.

bioRxiv : the preprint server for biology
|May 7, 2024
PubMed
概括
此摘要是机器生成的。

在空间转录学中,精确的细胞细分至关重要. 这项研究引入了一种基于模拟的新方法,可以改善细胞边界推断,增强瘤透免疫细胞及其空间关系的分析.

更多相关视频

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

11.6K
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.6K

相关实验视频

Last Updated: Jun 27, 2025

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth
13:11

Video Bioinformatics Analysis of Human Embryonic Stem Cell Colony Growth

Published on: May 20, 2010

12.8K
Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone
09:31

Automated Quantification of Hematopoietic Cell – Stromal Cell Interactions in Histological Images of Undecalcified Bone

Published on: April 8, 2015

11.6K
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.6K

科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 免疫学 免疫学 免疫学

背景情况:

  • 单细胞空间转录学为细胞转录状态和微环境提供了深入的见解.
  • 不准确的细胞细分可能导致转录和文物的错误归属,损害数据完整性.
  • 现有的细分方法面临挑战,特别是复杂的细胞结构和异质组织.

研究的目的:

  • 开发和验证一种新的计算方法,用于在空间转录组学数据中准确的细胞细分.
  • 改进具有挑战性的细胞类型的识别和表征,例如瘤透免疫细胞.
  • 增强对瘤微环境中的免疫细胞-瘤细胞相互作用的理解.

主要方法:

  • 采用初始细胞模拟方法来推断形态学上可信的细胞边界.
  • 为快速细胞细分开发一个计算效率高的算法.
  • 将新方法与现有方法进行基准测试,使用来自多个商业空间转录学平台的数据集.

主要成果:

  • 与现有的细胞细分技术相比,拟议的方法显示出更高的性能和计算效率.
  • 改进的细分精度有助于可靠检测难以细分的瘤透性免疫细胞,包括中性粒细胞和T细胞.
  • 该研究发现,CXCL13表达的CD8+T细胞和瘤细胞与脏细胞癌样本中的CXCL13阴性对应细胞之间存在更密切的关联.

结论:

  • 精确的细胞细分是可靠地解释空间转录学数据的关键先决条件.
  • 这种新的基于模拟的细分方法显著提高了细胞异质性和组织内的空间关系的分析.
  • 这一进步有望改善对瘤免疫学的理解,并开发向免疫疗法.