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Chromatin Immunoprecipitation- ChIP

Chromatin Immunoprecipitation- ChIP

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...

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相关实验视频

Updated: Jan 12, 2026

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations

Published on: April 21, 2023

克罗姆网:一种多任务学习框架,用于使用表观遗传信号对3D染色体相互作用的跨细胞类型预测.

Bin Wang^1,2, Shaokai Wang^1,3, Liqing Ding^1,2

¹Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, 410083, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)

|October 31, 2025

概括

此摘要是机器生成的。

一个新的框架ChromNet使用表观遗传信号准确预测3D染色体结构. 这种具有成本效益的方法有助于大规模研究和疾病研究,改善基因调节的洞察力.

关键词:

细胞类型特异性细胞类型特异性染色体的3D结构染色体架构预测和预测表观遗传信号表观遗传信号多任务学习是多任务学习.

更多相关视频

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

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

Published on: April 5, 2018

TChIP-Seq: Cell-Type-Specific Epigenome Profiling

TChIP-Seq: Cell-Type-Specific Epigenome Profiling

Published on: January 23, 2019

相关实验视频

Last Updated: Jan 12, 2026

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations

Author Spotlight: An Integrated Workflow to Study the Promoter-Centric Spatio-Temporal Genome Architecture in Scarce Cell Populations

Published on: April 21, 2023

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

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

Published on: April 5, 2018

TChIP-Seq: Cell-Type-Specific Epigenome Profiling

TChIP-Seq: Cell-Type-Specific Epigenome Profiling

Published on: January 23, 2019

科学领域:

基因组学就是基因组学.
计算生物学计算生物学
表观遗传学在表观遗传学中,表观遗传学是指表观遗传学.

背景情况:

染色体的3D组织对于基因调节,细胞功能和疾病发展至关重要.
现有的实验方法,如Hi-C用于绘制染色体结构的地图,是昂贵和劳动密集的,阻碍了大规模和以疾病为中心的研究.

研究的目的:

开发一个计算框架,ChromNet,用于精确预测3D染色体架构.
为了使各种细胞类型和疾病状态的染色质构成能够进行经济高效的大规模分析.

主要方法:

克罗姆网采用多任务学习框架,整合来自不同细胞类型的表观遗传信号.
该模型包含噪声干扰和辅助分类任务,以提高预测准确度.
它利用表观遗传数据来预测色素相互作用,并识别拓关联域 (TAD).

主要成果:

在预测细胞类型特定的染色质结构和TADs方面,ChromNet表现出卓越的概括性能.
该框架使用集成表观遗传信号准确预测急性髓性白血病 (AML) 样本中的染色质相互作用.
在关键基准上,ChromNet的表现始终优于现有的计算模型.

结论:

克罗姆网为大规模的染色质构成研究提供了强大的,具有成本效益的解决方案.
这一框架有助于在正常和病态状态下探索染色质结构变异.
它为3D基因组架构,基因调节和疾病机制之间的联系提供了新的见解.