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

Chromatin Immunoprecipitation- ChIP02:36

Chromatin Immunoprecipitation- ChIP

11.1K
Chromatin immunoprecipitation, or ChIP, is an antibody-based technique used to identify sites on DNA that bind to transcription factors of interest or histone proteins. It also helps determine the type of histone modifications such as acetylation, phosphorylation, or methylation.
Types of ChIP
ChIP can be divided into two types - X-ChIP and N-ChIP. X-ChIP involves in vivo cross-linking of histones and regulatory proteins to DNA, fragmenting the DNA by sonication, and isolating the protein-DNA...
11.1K

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

Convergence and divergence of DNA methylation and gene expression patterns in neopolyploid Arabidopsis kamchatica.

Nature communications·2026
Same author

Elucidating the toxicity of the plasticizer DPhP: Evidence of neurotoxicity and developmental impairment from <i>in vitro</i> to <i>in vivo</i> models.

Current research in toxicology·2026
Same author

Mapping the functional connectome between grey matter and white matter.

Communications biology·2026
Same author

Photoelectric Therapy Needle-Combined ICG-Cu(II)-AIBI Infinite Coordination Polymer Nanoparticles for Free Radical Spatiotemporal-Matched Photodynamic-Thermodynamic Tumor Synergistic Therapy.

ACS applied materials & interfaces·2026
Same author

Cell-to-cell variability and gain of methylation at polycomb CpG islands as a hallmark of aging.

Nature communications·2026
Same author

Hybrid untargeted short-read and targeted long-read RNA sequencing facilitates genotype-phenotype associations at single-cell resolution.

Genome biology·2026
Same journal

Somatic mobility of transposons is explosive and shaped by distinct integration biases in Arabidopsis thaliana.

Genome biology·2026
Same journal

UK Biobank whole-genome sequencing reveals robust contributions of rare variants to complex-trait heritability.

Genome biology·2026
Same journal

A one-week automated genome-wide optical pooled screen using OttoSeq.

Genome biology·2026
Same journal

Integrated lipidomic and transcriptomic profiling of the host response in human malaria.

Genome biology·2026
Same journal

Centromeric satellite expansion drives genome evolution in the snowy owl.

Genome biology·2026
Same journal

Mapping the landscape of allele-specific expression in porcine genomes.

Genome biology·2026
查看所有相关文章

相关实验视频

Updated: Jun 16, 2025

Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease
09:20

Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease

Published on: February 1, 2022

2.7K

对单细胞染色体数据分析的基准计算方法.

Siyuan Luo1,2, Pierre-Luc Germain2,3,4, Mark D Robinson5,6

  • 1Laboratory of Nutrition and Metabolic Epigenetics, Department of Health Sciences and Technology, ETH Zurich, Zurich, Switzerland.

Genome biology
|August 16, 2024
PubMed
概括
此摘要是机器生成的。

基准单细胞ATAC-seq (scATAC-seq) 分析方法揭示了细胞类型识别的最佳特征工程管道. SnapATAC和SnapATAC2在辨别复杂的细胞类型和大数据集的扩展方面表现出色.

关键词:
一个基准的基准.集群集成是指集群集成.缩小尺寸的方法功能工程的特点工程.这就是 ScATAC-seqq.

更多相关视频

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies
08:04

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies

Published on: August 13, 2020

3.4K
An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.4K

相关实验视频

Last Updated: Jun 16, 2025

Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease
09:20

Single-Cell Factor Localization on Chromatin using Ultra-Low Input Cleavage Under Targets and Release using Nuclease

Published on: February 1, 2022

2.7K
A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies
08:04

A Semiautomated ChIP-Seq Procedure for Large-scale Epigenetic Studies

Published on: August 13, 2020

3.4K
An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues
10:41

An Integrated Platform for Genome-wide Mapping of Chromatin States Using High-throughput ChIP-sequencing in Tumor Tissues

Published on: April 5, 2018

10.4K

科学领域:

  • 基因组学就是基因组学.
  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • 像scATAC-seq这样的单细胞染色质可访问性测定对于多原子分析至关重要.
  • 分析稀疏,杂,高维的scATAC-seq数据存在重大挑战.
  • 有效地提取细胞异质性信息对于细胞类型识别至关重要.

研究的目的:

  • 为了对scATAC-seq数据分析的特征工程管道进行基准测试.
  • 评估发现和区分细胞类型的方法.
  • 为选择合适的分析工具提供准则.

主要方法:

  • 基准测试8的特点是5种最新方法的工程管道.
  • 在细胞嵌入,图形和分区层面使用10个指标.
  • 评估不同数据处理阶段的方法性能.

主要成果:

  • 特性聚合,SnapATAC和SnapATAC2的性能优于潜在的语义索引方法.
  • 对于具有复杂细胞类结构的数据集,SnapATAC和SnapATAC2是首选的.
  • 对于大型数据集来说,SnapATAC2和ArchR展示了卓越的可扩展性.

结论:

  • 为根据数据集特征选择scATAC-seq分析方法提供了指导方针.
  • 对于复杂的细胞类型和大规模数据分析,建议使用特定的方法.
  • 了解方法的优点和弱点可以优化单细胞数据的解释.