Examining NFκB Genomic Interactions by ChIP-seq and CUT&Tag

Allison E Daly, Allison Schiffman, Alexander Hoffmann, Stephen Smale
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Abstract

An understanding of the mechanisms and logic by which transcription factors coordinate gene regulation requires delineation of their genomic interactions at a genome-wide scale. Chromatin immunoprecipitation-sequencing (ChIP-seq) and more recent techniques, including CUT&Tag, typically reveal thousands of genomic interactions by transcription factors, but without insight into their functional roles. Due to cost and time considerations, optimization of ChIP experimental conditions is typically carried out only with representative interaction sites rather than through genome-wide analyses. Here, we describe insights gained from the titration of two chemical crosslinking reagents in genome-wide ChIP-seq experiments examining two members of the NF-κB family of transcription factors: RelA and c-Rel. We also describe a comparison of ChIP-seq and CUT&Tag. Our results highlight the large impact of ChIP-seq experimental conditions on the number of interactions detected, on the enrichment of consensus and non-consensus DNA motifs for the factor, and on the frequency with which the genomic interactions detected are located near potential target genes. We also found considerable consistency between ChIP-seq and CUT&Tag results, but with a substantial fraction of genomic interactions detected with only one of the two techniques. Together, the results demonstrate the dramatic impact of experimental conditions on the results obtained in a genome-wide analysis of transcription factor binding, highlighting the need for further scrutiny of the functional significance of these condition-dependent differences.
通过 ChIP-seq 和 CUT&Tag 研究 NFκB 基因组相互作用
要了解转录因子协调基因调控的机制和逻辑,就必须在全基因组范围内界定它们的基因组相互作用。染色质免疫沉淀测序(ChIP-sequencing,ChIP-seq)以及包括 CUT&Tag 在内的最新技术通常能揭示转录因子的数千种基因组相互作用,但却无法深入了解它们的功能作用。出于成本和时间的考虑,ChIP 实验条件的优化通常只在有代表性的相互作用位点进行,而不是通过全基因组分析。在这里,我们描述了在全基因组 ChIP-seq 实验中滴定两种化学交联试剂所获得的洞察力,这些试剂检测了 NF-κB 转录因子家族的两个成员:RelA 和 c-Rel:RelA 和 c-Rel。我们还描述了 ChIP-seq 与 CUT&Tag 的比较。我们的结果凸显了 ChIP-seq 实验条件对检测到的相互作用数量、因子的共识和非共识 DNA 主题的富集以及检测到的基因组相互作用位于潜在靶基因附近的频率的巨大影响。我们还发现,ChIP-seq 和 CUT&Tag 的结果相当一致,但有相当一部分基因组互作只用两种技术中的一种检测到。总之,这些结果证明了实验条件对转录因子结合的全基因组分析结果的巨大影响,强调了进一步研究这些条件依赖性差异的功能意义的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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