利用PerCell染色质测序对差异蛋白-基因组结合进行高度定量测量。

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS
Alexi Tallan, Jack Kucinski, Benjamin Sunkel, Cenny Taslim, Stephanie LaHaye, Qi Liu, Jun Qi, Meng Wang, Genevieve C Kendall, Benjamin Z Stanton
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引用次数: 0

摘要

在实验条件或样品之间进行ChIP-seq分析的定量比较在表观遗传学领域仍然具有技术挑战性。在这里,我们报告了一种策略,结合使用定义明确的直系物种染色质的细胞峰值比和生物信息学分析管道,以促进跨实验条件下二维染色质测序的高度定量比较。我们发现,与实验基因组读取相比,PerCell方法的结果是高效和一致的峰值读取水平。我们演示了使用该方法和管道来实现斑马鱼胚胎和人类癌细胞的定量,内部标准化染色质测序。总的来说,我们提出了PerCell方法来实现跨物种比较表观基因组学,促进数据分析的一致性和跨实验室的共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Highly quantitative measurement of differential protein-genome binding with PerCell chromatin sequencing.

Quantitative comparison of ChIP-seq profiling between experimental conditions or samples remains technically challenging for the epigenetics field. Here, we report a strategy combining the use of well-defined cellular spike-in ratios of orthologous species' chromatin and a bioinformatic analysis pipeline to facilitate highly quantitative comparisons of 2D chromatin sequencing across experimental conditions. We find that the PerCell methodology results in efficient and consistent levels of spike-in vs. experimental genomic reads. We demonstrate use of the method and pipeline to enable quantitative, internally normalized chromatin sequencing on zebrafish embryos and human cancer cells. Overall, we propose the PerCell method to enable cross-species comparative epigenomics and promote uniformity of data analyses and sharing across labs.

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来源期刊
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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