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Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
Published on: February 11, 2019
BiFET: sequencing Bias-free transcription factor Footprint Enrichment Test
Ahrim Youn1, Eladio J Marquez1, Nathan Lawlor1
1The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA.
We developed Bias-free Footprint Enrichment Test (BiFET) to accurately identify transcription factor (TF) binding sites by correcting for biases in chromatin accessibility and GC content. BiFET improves the reliability of TF footprint analysis in genomic studies.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Transcription factor (TF) footprinting identifies protein-DNA binding sites using chromatin accessibility and TF sequence motifs.
- Standard enrichment tests for TF footprints are biased by chromatin accessibility and GC content, leading to false positives.
- Accurate identification of regulatory TF binding is crucial for understanding cell-specific gene regulation.
Purpose of the Study:
- To develop a novel post-processing method, BiFET, to correct for biases in TF footprint enrichment analyses.
- To improve the accuracy and reduce false positive rates in identifying cell/condition-specific TF regulatory activities.
- To demonstrate the utility of BiFET in analyzing TF footprints from various ATAC-seq datasets.
Main Methods:
- Developed the Bias-free Footprint Enrichment Test (BiFET) to account for chromatin accessibility and GC content biases.
- Applied BiFET to TF footprint data from EndoC-βH1 ATAC-seq samples analyzed with CENTIPEDE, HINT-BC, and PIQ algorithms.
- Compared BiFET's performance against the traditional hypergeometric test for power and false positive rate.
Main Results:
- BiFET effectively corrects for biases related to chromatin accessibility and GC content in TF footprint enrichment.
- BiFET demonstrated increased statistical power and a reduced false positive rate compared to the hypergeometric test.
- Application of BiFET to human PBMC and pancreatic islet ATAC-seq data successfully identified putative TFs associated with cell-type-specific loci.
Conclusions:
- BiFET is a robust method for unbiased TF footprint enrichment analysis.
- The developed method enhances the reliability of identifying regulatory transcription factors in cell-specific genomic regions.
- BiFET offers a valuable tool for advancing the study of gene regulation through TF binding analysis.
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