Daly Allison E, Schiffman Allison, Hoffmann Alexander, Smale Stephen T
Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Molecular Biology Institute, University of California, Los Angeles, CA 90095, USA.
bioRxiv. 2024 Aug 12:2024.08.11.607521. doi: 10.1101/2024.08.11.607521.
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.
要理解转录因子协调基因调控的机制和逻辑,需要在全基因组范围内描绘它们的基因组相互作用。染色质免疫沉淀测序(ChIP-seq)以及包括CUT&Tag在内的更新技术,通常会揭示转录因子数千种基因组相互作用,但无法洞察它们的功能作用。由于成本和时间因素,ChIP实验条件的优化通常仅在代表性相互作用位点上进行,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实验中对两种化学交联试剂进行滴定所获得的见解,该实验检测了转录因子NF-κB家族的两个成员:RelA和c-Rel。我们还描述了ChIP-seq和CUT&Tag的比较。我们的结果突出了ChIP-seq实验条件对检测到的相互作用数量、对该因子的共有和非共有DNA基序富集以及对检测到的基因组相互作用位于潜在靶基因附近频率的巨大影响。我们还发现ChIP-seq和CUT&Tag结果之间有相当大的一致性,但两种技术中只有一种能检测到相当一部分基因组相互作用。总之,这些结果证明了实验条件对转录因子结合全基因组分析结果有巨大影响,突出了进一步审视这些条件依赖性差异功能意义的必要性。