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

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.

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

Human blood vessel organoids recapitulate key mechanisms of transition from vasculopathy to fibrosis in systemic sclerosis.

Annals of the rheumatic diseases·2026
Same author

DPP4 inhibition affects metabolism and inflammation associated pathways in hiPSC-derived steatotic HLCs.

Frontiers in cell and developmental biology·2026
Same author

Evidence for conserved expression of genes annotated as associated with brain-related biological processes in human podocytes and brain.

BMC nephrology·2026
Same author

Modelling APOL1-mediated kidney inflammation and fibrosis using a partially reprogrammed urine-derived SIX2-positive renal progenitor cell line.

Stem cell research & therapy·2025
Same author

Human Urine-Derived SIX2-Positive Renal Progenitor Cells Partially Improve Kidney Fibrosis by Paracrine Signaling.

Stem cells and development·2025
Same author

Corrigendum to "Generation of a Bartter syndrome type 3 patient-derived induced pluripotent stem cell line ISRM-BS3_UM18-iPSC (HHUUKDi014-A)" [Stem Cell Res. 87 (2025) 103760].

Stem cell research·2025
Same journal

Inflammatory Preconditioning Reprograms Mesenchymal Stromal Cell-Derived Extracellular Vesicles into Distinct Functional States for Immunomodulation and Wound Healing.

Stem cells and development·2026
Same journal

Cancer Stem Cells as Dynamic Attractor States: Systems Biology of Tumor Plasticity and Therapy Resistance.

Stem cells and development·2026
Same journal

Evaluation of Puromycin-Induced Podocyte Injury and Protective Effects of Voclosporin Using Induced Pluripotent Stem Cells from a Patient with Nephrotic Syndrome Harboring an <i>INF2</i> Variant.

Stem cells and development·2026
Same journal

Simplified Derivation of Stable Early Passage Murine Embryonic and Parthenogenetic Stem Cells.

Stem cells and development·2026
Same journal

OCT3/4-Enhanced Dental Mesenchymal Stem Cells Acquire Hematopoietic Stem Cell-Like Properties and Support Hematopoietic Recovery in a Myelosuppressed Mouse Model.

Stem cells and development·2026
Same journal

Hematopoietic Stem Cell-Based Cell and Gene Therapy Beyond Monogenic Diseases.

Stem cells and development·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

29.8K

单细胞数据可以剖析大量转录组数据中的细胞类型.

Wasco Wruck1, James Adjaye1,2

  • 1Institute for Stem Cell Research and Regenerative Medicine, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany.

Stem cells and development
|November 29, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一个计算管道来分析单细胞RNA测序 (scRNA-seq) 数据,并解卷大量转录组数据,识别有机体中的细胞类型. 这种方法有助于在只有批量数据可用时评估有机物质量.

关键词:
在RNA-seqqq.脑子 脑子 脑子 大脑解体解体是一种解体.脏 脏 脏是什么?有机生物有机物一个单细胞测序.

更多相关视频

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K
Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors
05:58

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Published on: August 16, 2024

2.7K

相关实验视频

Last Updated: Jun 18, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

29.8K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K
Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors
05:58

Author Spotlight: Exploring Strategies for Successful Immune Response Against Tumors

Published on: August 16, 2024

2.7K

科学领域:

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

背景情况:

  • 有机体模型是有价值的研究工具,但评估它们的细胞组成可能是具有挑战性的.
  • 单细胞RNA测序 (scRNA-seq) 提供高分辨率的细胞数据,但批量转录组数据往往更容易获得.
  • 弥合这些数据类型之间的差距对于强大的有机体表征至关重要.

研究的目的:

  • 开发和验证一个计算管道,用于使用scRNA-seq参考配置文件解卷大量的转录组数据.
  • 为了能够估计诱导多能干细胞 (iPSC) 衍生和大脑器官中的细胞类型分数.
  • 提供一种评估器官质量和细胞异质性的方法.

主要方法:

  • 为分析scRNA-seq数据而开发了一个生物信息学管道.
  • 该管道执行解卷,以从批量转录组数据中估计细胞类型比例.
  • 该方法应用于iPSC衍生的脏和大脑器官转录组数据,使用现有的scRNA-seq数据集作为参考.

主要成果:

  • 该管道成功地确定了器官中的关键细胞类型,包括近端管道,远端卷曲管道和细胞.
  • 还确定了大脑器官中相关的细胞群,如神经元,星体细胞,寡干细胞和微质细胞.
  • 在这两种类型的有机体中检测到基本的内皮和免疫相关的细胞类型.

结论:

  • 开发的管道有效地解构了大量的转录组数据,以揭示有机体中的细胞组成.
  • 这种方法有助于评估细胞类型分数和对iPSC衍生和大脑器官的质量控制.
  • 预计该方法将适用于从其他组织中获得的有机体,从而扩大其在再生医学和发育生物学研究中的用途.