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High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy
Published on: February 7, 2019
Quantifying genome-wide transcription factor binding affinities for chromatin using BANC-seq.
Roelof A Wester1, Hannah K Neikes1, Rik G H Lindeboom2
1Department of Molecular Biology, Faculty of Science, Oncode Institute, Radboud University, Radboud Institute for Molecular Life Sciences (RIMLS), Nijmegen, the Netherlands.
We developed BANC-seq, a method to measure transcription factor (TF) DNA binding affinities in native chromatin. This technique accounts for DNA accessibility and chromatin structure, offering a more accurate understanding of gene regulation.
Area of Science:
- Molecular Biology
- Genomics
- Epigenetics
Background:
- Transcription factors (TFs) regulate gene expression by binding specific DNA sequences.
- TF-DNA binding affinity is influenced by local chromatin structure and DNA accessibility, complicating accurate measurement.
- Existing methods often fail to capture these crucial in vivo factors.
Purpose of the Study:
- To present a detailed protocol for BANC-seq (binding affinities in native chromatin by sequencing).
- To enable accurate genome-wide measurement of TF-DNA binding affinities under native chromatin conditions.
- To provide a method reproducible by molecular biologists with basic bioinformatics skills.
Main Methods:
- BANC-seq involves incubating intact mammalian nuclei with epitope-tagged TFs across a concentration range.
- Chromatin immunoprecipitation or nuclease cleavage with spike-in DNA is used to quantify TF binding.
- Apparent dissociation constants (KdApp) are determined across the genome.
Main Results:
- A detailed, stepwise protocol for BANC-seq is provided.
- The method allows for the determination of TF-DNA binding affinities in their native chromatin context.
- BANC-seq experiments can be performed in 1.5 days, excluding data analysis.
Conclusions:
- BANC-seq offers a robust method for measuring TF-DNA binding affinities, considering chromatin accessibility.
- The protocol is accessible to molecular biologists, though data analysis requires bioinformatics expertise.
- This technique advances the understanding of transcription regulation by incorporating crucial genomic context.
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