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Updated: Dec 13, 2025

Enhanced Yeast One-hybrid Screens To Identify Transcription Factor Binding To Human DNA Sequences
Published on: February 11, 2019
Global reference mapping of human transcription factor footprints
Jeff Vierstra1, John Lazar2,3, Richard Sandstrom2
1Altius Institute for Biomedical Sciences, Seattle, WA, USA. jvierstra@altius.org.
This study maps millions of transcription factor binding sites in the human genome using DNase I footprinting. Genetic variants within these regulatory footprints significantly impact gene regulation and human traits.
Area of Science:
- Genomics
- Molecular Biology
- Epigenetics
Background:
- Transcription factor binding to DNA regulates gene expression.
- Genetic variations in regulatory DNA are linked to diseases and traits.
- Identifying functional regulatory variants is challenging.
Purpose of the Study:
- To comprehensively map transcription factor footprints across the human genome.
- To understand the role of DNA accessibility and transcription factor occupancy in gene regulation.
- To investigate the impact of genetic variation on regulatory elements.
Main Methods:
- Generated high-density DNase I cleavage maps from 243 human cell/tissue types.
- Integrated data to delineate millions of transcription factor occupancy sites at nucleotide resolution.
- Analyzed the relationship between genetic variants, footprints, and regulatory element accessibility.
Main Results:
- Delineated ~4.5 million transcription factor occupancy sites genome-wide.
- Found that cis-regulation is mainly modulated by DNA accessibility, not differential TF occupancy.
- Showed that disease-associated variants are enriched within footprints, with near-equal loss/gain-of-function alleles.
- Discovered increased genetic variation density within footprints, suggesting a role in cis-regulatory evolution.
Conclusions:
- Provides a high-resolution map of transcription factor binding sites.
- Offers a framework for analyzing gene regulatory mechanisms and functional genetic variation.
- Highlights the importance of regulatory footprints in understanding human disease and evolution.
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