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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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Updated: May 11, 2026

Profiling of H3K4me3 Modification in Plants using Cleavage under Targets and Tagmentation

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Published on: April 22, 2022

帕蒂纠正了开放色素偏差,以改善批量和单细胞CUT&Tag分析.

Shengen Shawn Hu^1,2, Zhangli Su³, Lin Liu⁴

¹Department of Genome Sciences, University of Virginia, Charlottesville, VA 22908, USA.

Research square

|October 3, 2025

概括

一种新的计算方法,PATTY,纠正了Cleave Under Targets & Tagmentation (CUT&Tag) 表观基因组分析中的开放色素偏差. 这提高了对基因组修饰的检测,并增强了单细胞分析,以获得更好的染色体生物学见解.

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科学领域:

表观遗传学和基因组学
计算生物学计算生物学
分子生物学分子生物学

背景情况:

表观遗传学分析对于理解基因调节和染色体生物学至关重要.
目标和标记下的切割 (CUT&Tag) 是一种强大的表观基因组分析技术,适用于低细胞数和单细胞.
在CUT&Tag中使用的Tn5转化酶引入了开放色素偏差,使数据分析复杂化,特别是在稀疏的单细胞数据集中.

研究的目的:

为了应对在CUT&Tag数据中的开放色素偏差的挑战.
开发一种用于纠正这种偏差的计算方法.
提高CUT&Tag数据分析的准确性和稳定性,特别是在单细胞应用中.

主要方法:

开发了PATTY (Propensity Analyzer for Tn5 Transposase Yielded bias),一种利用ATAC-seq数据进行计算的计算方法.
使用机器学习和整合模型的综合转录和表观基因组数据.
在PATTY.基础上创建了一个单细胞CUT&Tag分析框架.

主要成果:

帕蒂有效地纠正了CUT&Tag数据集中的开放色素偏差,包括来自高盐协议的数据集.
证明了活性 (H3K27ac) 和抑制性 (H3K27me3,H3K9me3) 组胺基因修饰部位的准确和强大的检测.
在使用偏差纠正数据的单细胞CUT&Tag分析中显示了改善的细胞聚类.

结论:

帕蒂为CUT&Tag数据中的开放色素偏差提供了全面的解决方案.
该方法提高了表观基因组分析的可靠性,促进了对染色体生物学更深入的了解.
帕蒂为其他基于Tn5的高通量试验中的偏差校正奠定了基础.