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

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

Algorithm dependence of patient phenotypes in Long COVID: a patient-led, multi-method clustering of 6031 patients using 162 self-reported symptoms.

Oxford open immunology·2026
Same author

Autoinhibitory feedback preserves intestinal stem cell maintenance and fate commitment.

The EMBO journal·2026
Same author

Hypervariable loop profiling decodes sequence determinants of antibody stability.

Nature structural & molecular biology·2026
Same author

TRPM4 Expression as a Predictive Biomarker and a Mechanistic Driver of Acetalax Activity in Prostate Cancer: Preclinical Efficacy Studies.

Molecular cancer therapeutics·2026
Same author

Determinants of metal import and specificity in a bacterial transporter.

bioRxiv : the preprint server for biology·2026
Same author

The AICL-KLRF1 axis supports CD4-CD8 T cell communication and cytokine competence in pre-exhausted CD8<sup>+</sup> T cells.

EMBO reports·2026
Same journal

ClairS: a deep-learning method for long-read tumor-normal pair somatic small variant calling.

Nature methods·2026
Same journal

RNAbpFlow: base pair-augmented SE(3) flow matching for conditional RNA 3D structure generation.

Nature methods·2026
Same journal

Spatio-DARLIN enables robust and efficient in situ lineage tracing in mice at single-cell resolution.

Nature methods·2026
Same journal

EasyGrid: a versatile platform for automated cryo-EM sample preparation and quality control.

Nature methods·2026
Same journal

Cloud-based microscope enables live neuroimaging for 24 h and beyond with worldwide access.

Nature methods·2026
Same journal

Deep molecular profiling in three dimensions.

Nature methods·2026
查看所有相关文章

相关实验视频

Updated: Jul 4, 2025

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

6.7K

scPerturb:协调的单细胞扰动数据.

Stefan Peidli1,2, Tessa D Green3, Ciyue Shen4,5,6

  • 1Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität, Berlin, Germany. stefan.peidli@embl.de.

Nature methods
|January 26, 2024
PubMed
概括
此摘要是机器生成的。

我们创建了scPerturb,一个由44个单细胞扰动数据集组成的资源,以改善计算方法的开发. 该资源与新能源统计 (E-统计) 一起,有助于分析扰动效应和实验设计.

更多相关视频

A Standardized Approach for Multispecies Purification of Mammalian Male Germ Cells by Mechanical Tissue Dissociation and Flow Cytometry
08:46

A Standardized Approach for Multispecies Purification of Mammalian Male Germ Cells by Mechanical Tissue Dissociation and Flow Cytometry

Published on: July 12, 2017

11.9K
Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

6.9K

相关实验视频

Last Updated: Jul 4, 2025

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

6.7K
A Standardized Approach for Multispecies Purification of Mammalian Male Germ Cells by Mechanical Tissue Dissociation and Flow Cytometry
08:46

A Standardized Approach for Multispecies Purification of Mammalian Male Germ Cells by Mechanical Tissue Dissociation and Flow Cytometry

Published on: July 12, 2017

11.9K
Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
07:11

Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules

Published on: March 22, 2019

6.9K

科学领域:

  • 计算生物学 计算生物学
  • 基因组学就是基因组学.
  • 系统生物学 系统生物学

背景情况:

  • 单细胞扰动研究对于理解生物系统至关重要.
  • 由于数据互操作性差,分析各种数据集具有挑战性.
  • 计算方法的开发需要标准化和可访问的数据.

研究的目的:

  • 创建一个单细胞扰动数据集的协调资源.
  • 开发新的统计方法来分析扰动效应.
  • 为单细胞扰动研究的实验设计提供建议.

主要方法:

  • 收集和策划了44个公开可用的单细胞扰动响应数据集.
  • 应用统一的质量控制和协调的特征注释.
  • 开发能源统计 (E-统计) 用于效果量化和意义测试.

主要成果:

  • scPerturb资源可以开发,测试和比较计算方法.
  • 电子统计为量化扰动效应和相似性提供了一个强大的框架.
  • 电子距离作为单细胞表达特征的一般距离测量.
  • 证明了E-统计的实用性,用于评估扰动效率.

结论:

  • scPerturb通过提供统一的数据资源来增强单细胞扰动分析的研究.
  • 电子统计为分析扰动数据和指导实验设计提供了强大的工具.
  • 数据集和软件的公共可用性促进了可复制的研究和计算方法的进步.