Examining NFκB Genomic Interactions by ChIP-seq and CUT&Tag
Daly, A. E.; Schiffman, A.; Hoffmann, A.; Smale, S.
Show 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-{kappa}B 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.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Theoretical and practical refinements of sans spike-in quantitative ChIP-seq with application to p300/CBP inhibition 94%
- Long-read sequencing to detect full-length protein-protein interactions 91%
- AnnoMiner: a new web-tool to integrate epigenetics, transcription factor occupancy, and transcriptomics data to predict transcriptional regulators 91%
Similar papers in this journal
- Core circadian clock transcription factor BMAL1 regulates mammary epithelial cell growth, differentiation, and milk component synthesis 92%
- Inflammatory cytokines promote interferon regulatory factor (IRF) transcriptional activity in human pulmonary epithelial cells through the induction of IRF1 by nuclear factor-κB 92%
- Regulation of transcription elongation anticipates alternative gene expression strategies across the cell cycle 92%
Similar papers in this journal
- Harnessing changes in open chromatin determined by ATAC-seq to generate insulin-responsive reporter constructs. 92%
- Human Gene Expression Variability and its Dependence on Methylation and Aging 91%
- Discovery of a non-canonical GRHL1 binding site using deep convolutional and recurrent neural networks 91%
Similar papers in this journal
- Dynamic chromatin accessibility landscape changes following interleukin-1 stimulation 93%
- Permutation-based significance analysis reduces the type 1 error rate in bisulfite sequencing data analysis of human umbilical cord blood samples 90%
- The chromatin remodeler LSH controls genome-wide cytosine hydroxymethylation 89%
Similar papers in this journal
- Effects of sheared chromatin length on ChIP-seq quality and sensitivity 94%
- MNase profiling of promoter chromatin in S. typhimurium-stimulated GM12878 cells reveals dynamic and response-specific nucleosome architecture 92%
- Analyses of Mutational Patterns Induced by Formaldehyde and Acetaldehyde Reveal Similarity to a Common Mutational Signature 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.