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RNA-seq

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...

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Updated: Sep 10, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

从技术条件的角度选择ChIP-seq规范化方法

Sara Colando¹, Danae Schulz², Johanna Hardin³

¹Department of Statistics & Data Science, Carnegie Mellon University, 4909 Frew St., Pittsburgh, PA 15213, United States.

Briefings in bioinformatics

|August 21, 2025

概括

选择高通量测序 (ChIP-seq) 的染色体免疫沉的正确样本间正常化是至关重要的. 了解技术条件或使用高可靠性峰值集可以改善差异性DNA占用分析.

关键词:

切割和运行数据其他:DNA 占用率不同的结合在样本间进行规范化差异结合分析

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相关实验视频

Last Updated: Sep 10, 2025

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Published on: March 22, 2018

科学领域:

基因组学
分子生物学
生物信息学

背景情况:

使用高通量测序 (ChIP-seq) 进行染色体免疫沉是一种强大的蛋白质-DNA相互作用识别技术.
分析实验状态之间的差异性DNA占用需要强大的样本间正常化.
对于ChIP-seq数据的标准化方法所依据的技术假设尚未被彻底研究.

研究的目的:

确定和检查ChIP-seq样本间规范化的关键技术条件.
评估违反这些条件对差异性约束分析的影响.
为选择适当的规范化方法或替代策略提供指导.

主要方法:

确定三个关键技术条件:平衡的差异性DNA占用率,相同的总DNA占用率和相同的背景结合率.
模拟违反这些条件的ChIP-seq读数数据.
使用实验性ChIP-seq数据对模拟结果进行外部验证.

主要成果:

违反技术条件会对下游的差异性约束分析产生重大影响.
模拟结果得到实验数据的证实,突出了实际含义.
在实验分析中,约有一半所谓的峰值在不同的规范化方法中被差异化结合.

结论:

研究人员在选择规范化方法时应考虑其ChIP-seq实验的具体技术条件.
使用来自多种规范化方法的结果交叉的高保证度峰值,提供了更强大的方法.
高可信度峰值集为识别差异性DNA占用提供了可靠的基础,特别是当规范化方法假设不确定时.