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

Flow Cytometry01:23

Flow Cytometry

15.6K
The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...
15.6K
Classification of Leukocytes01:30

Classification of Leukocytes

4.9K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
4.9K
Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

7.0K
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.
7.0K
Cell Diversity01:13

Cell Diversity

4.7K
The concept of a cell started with microscopic observations of dead cork tissue by Robert Hooke in 1665. Hooke coined the term "cell" based on the resemblance of the small subdivisions in the cork to the rooms that monks inhabited, called cells. About ten years later, Antonie van Leeuwenhoek became the first person to observe the living and moving cells under a microscope. In the century that followed, the theory that cells represented the basic unit of life developed.
Multicellular...
4.7K

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

Longitudinal mechanisms of response, resistance and relapse to teclistamab in multiple myeloma: results from MajesTEC-1.

Haematologica·2026
Same author

Multiomic characterisation of the clinical efficacy of guselkumab induction therapy in ulcerative colitis.

BMJ open gastroenterology·2026
Same author

A latent activated olfactory stem cell state revealed by single-cell transcriptomic and epigenomic profiling.

Stem cell reports·2026
Same author

Removal of unwanted variation in pseudobulk analysis of single-cell RNA sequencing data and the leveraging of pseudoreplicates.

NAR genomics and bioinformatics·2025
Same author

Conserved genetic markers reveal widespread diatom sexual reproduction in the global ocean.

Nature communications·2025
Same author

Immunophenotypic changes in the tumor and tumor microenvironment during progression to multiple myeloma.

PLoS genetics·2025
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
查看所有相关文章

相关实验视频

Updated: Jan 10, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.0K

在使用voomCLR的单细胞研究中评估差异性细胞组成.

Alemu Takele Assefa1, Bie Verbist1, Koen Van den Berge1

  • 1Statistics and Decision Sciences, Johnson & Johnson, Turnhoutseweg 30, 2340 Beerse, Belgium.

Bioinformatics (Oxford, England)
|November 23, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了voomCLR,一种用于分析单细胞研究中细胞组成变化的新统计方法. 它准确地解释了相对细胞计数,并通过结合偏差不确定性和平均方差结构来改进现有方法.

关键词:
组合数据是指组成的数据.计算生物学是计算生物学.不同的丰度差异.一个单细胞的单细胞.

更多相关视频

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

7.8K
Induction of Cellular Differentiation and Single Cell Imaging of Vibrio parahaemolyticus Swimmer and Swarmer Cells
08:38

Induction of Cellular Differentiation and Single Cell Imaging of Vibrio parahaemolyticus Swimmer and Swarmer Cells

Published on: May 15, 2017

9.8K

相关实验视频

Last Updated: Jan 10, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

7.0K
Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques
09:48

Discrimination and Characterization of Heterocellular Populations Using Quantitative Imaging Techniques

Published on: June 30, 2017

7.8K
Induction of Cellular Differentiation and Single Cell Imaging of Vibrio parahaemolyticus Swimmer and Swarmer Cells
08:38

Induction of Cellular Differentiation and Single Cell Imaging of Vibrio parahaemolyticus Swimmer and Swarmer Cells

Published on: May 15, 2017

9.8K

科学领域:

  • 单细胞生物学 单细胞生物学
  • 计算生物学是一种计算生物学.
  • 统计遗传学 统计遗传学

背景情况:

  • 单细胞研究通常需要在实验条件之间评估细胞组成的变化.
  • 目前的细胞计数数据是相对的,需要专门的统计方法来处理组合性.
  • 现有的组合数据分析方法可能无法完全解决偏差不确定性或计数的平均差异结构.

研究的目的:

  • 引入voomCLR,一种用于分析单细胞数据中细胞组成差异的新型统计方法.
  • 通过结合偏差术语不确定性和平均方差结构来解决当前方法的局限性.
  • 为差异细胞组成分析提供强大的工具.

主要方法:

  • 开发了voomCLR,这是一个利用差异基因表达分析的进展的统计方法.
  • 在组合数据分析中对偏差术语的内置不确定性估计.
  • 考虑了转换的计数数据的平均方差结构.

主要成果:

  • voomCLR证明了在不同条件之间对细胞组成差异的有效评估.
  • 该方法成功地结合了偏差术语不确定性和平均方差结构.
  • 在模拟和真实数据集上的性能比较显示了voomCLR在最先进的方法上的优势.

结论:

  • voomCLR提供了一个改进的统计框架,用于分析单细胞研究中的细胞组成.
  • 该方法为差异细胞组成分析提供了更准确和更全面的方法.
  • 开源的R包有助于voomCLR在生物研究中的应用.