Occupancy maps of 208 chromatin-associated proteins in one human cell type
E Christopher Partridge1, Surya B Chhetri1,2,3, Jeremy W Prokop1,4
1HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA.
Nature
|July 31, 2020
Summary
This study maps the binding sites of 208 chromatin-associated proteins, including 171 transcription factors, in human cells. The data reveals distinct binding patterns for promoters and enhancers, advancing understanding of gene regulatory networks.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Transcription factors are crucial DNA-binding proteins regulating gene expression.
- Understanding transcription factor binding is vital for deciphering biological processes.
- Most human transcription factors remain uncharacterized in terms of their genomic occupancy.
Purpose of the Study:
- To generate genome-wide occupancy maps for a significant portion of chromatin-associated proteins (CAPs) in the human HepG2 cell line.
- To analyze the binding profiles of transcription factors and cofactors to understand gene regulation.
- To expand the catalog of transcription factor binding motifs and their association with regulatory elements.
Main Methods:
- Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) was performed for 208 CAPs.
- Experiments were conducted using the human HepG2 cell line.
- Bioinformatic analyses were used to identify binding sites, motifs, and patterns.
Main Results:
- Binding profiles of 208 CAPs (171 transcription factors, 37 cofactors) were mapped, representing nearly a quarter of CAPs in HepG2 cells.
- CAP binding patterns were categorized, primarily associating with promoters, enhancers, or both.
- Expanded catalog of transcription factor motifs identified, including co-enrichment patterns (e.g., FOX motifs with 37 other CAPs).
- Motif content and occupancy patterns successfully distinguished between promoters and enhancers.
- Identified high-occupancy target regions with numerous CAP associations, though motifs were present for only a subset of associated factors.
Conclusions:
- The study provides a comprehensive overview of gene regulatory networks in HepG2 cells.
- The generated data and analyses enhance the understanding of transcription factor binding and function.
- This work highlights the utility of large-scale data generation efforts like the ENCODE project for biological discovery.
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