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Updated: Jun 15, 2025

A Chromatin Immunoprecipitation Assay to Identify Novel NFAT2 Target Genes in Chronic Lymphocytic Leukemia
Published on: December 4, 2018
Examining NF-κB genomic interactions by ChIP-seq and CUT&Tag
Allison E Daly1,2, Allison Schiffman1,2,3, Alexander Hoffmann1,2,3
1Department of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, CA 90095, USA.
Optimizing chromatin immunoprecipitation-sequencing (ChIP-seq) conditions significantly impacts transcription factor binding site detection. Experimental variables, not just techniques like CUT&Tag, critically influence genome-wide analyses of transcription factor interactions.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Understanding transcription factor (TF) coordination of gene regulation necessitates genome-wide mapping of TF-DNA interactions.
- Chromatin immunoprecipitation-sequencing (ChIP-seq) and CUT&Tag identify thousands of TF interactions but lack functional context.
- Optimizing ChIP-seq is often limited to specific sites due to cost and time.
Purpose of the Study:
- To investigate the impact of chemical crosslinking reagent titration on genome-wide ChIP-seq results for NF-κB family members RelA and c-Rel.
- To compare the outcomes of ChIP-seq and CUT&Tag experiments for these transcription factors.
- To assess how experimental conditions influence the detection and characteristics of TF genomic interactions.
Main Methods:
- Genome-wide ChIP-seq experiments were performed with varying concentrations of two chemical crosslinking reagents.
- The NF-κB family transcription factors RelA and c-Rel were studied.
- ChIP-seq results were compared with those obtained from CUT&Tag experiments.
Main Results:
- ChIP-seq experimental conditions profoundly affected the number of detected interactions and DNA motif enrichment.
- The proximity of detected interactions to potential target genes varied based on experimental parameters.
- While ChIP-seq and CUT&Tag showed consistency, a significant portion of interactions were unique to each method.
- Titration of crosslinking reagents demonstrated a substantial impact on RelA and c-Rel binding site identification.
Conclusions:
- Experimental conditions critically influence genome-wide transcription factor binding analyses.
- Differences in detected interactions between ChIP-seq and CUT&Tag highlight the need for careful method selection and optimization.
- Further investigation is required to understand the functional significance of condition-dependent variations in TF binding data.
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