Motif2Site: a Bioconductor package to detect accurate transcription factor binding sites from ChIP-seq
Abstract
AO_SCPLOWBSTRACTC_SCPLOWTranscription factors (TFs) binding are in the core of the Regulatory networks studies. ChIP-seq experiments are available for many TFs in various species. As TFs co-bind in cis-regulatory elements regions to control gene expression, studying the existing relation among co-binding TFs such as distance of binding sites or co-occupancy are highly important to understand the regulatory mechanisms. Currently, to detect binding sites of each TF in cis-regulatory elements, first binding regions of each TF are detected by standard peak calling methods, and at the second step the best candidate binding sites are prioritized by motif detection methods in binding regions. However, it is well-known that the best prioritized candidate motifs are not necessarily the actual binding sites of TFs. Furthermore, motif prioritizing methods that consider more genomic features complexities of TFs bindings are usually computationally expensive methods. Here, we tend to improve the TF binding sites accuracy detection by using the original ChIP-seq signal. The motifs which are located closer to the summits of binding region peaks are more likely to be the actual binding sites. Therefore, We developed a novel post-processing Bioconductor package called Motif2Site to detect TFs binding sites from user provided motif sets and recenter them across experiments. We applied Motif2Site method to detect TF binding sites for major mouse embryonic stem cell (mESC) as well as mouse fetal and birth time (P0) heart TFs. Motif2Site could detect binding regions with comparable accuracy to the existing state-of-the-art while it substantially increased the accuracy of the detected binding sites. Motif2Site could future improve the accuracy of binding sites prediction by recentering binding sites across developmental conditions (fetal/P0 heart) and across homologous TFs (ex. GATA4/GATA6 and MEF2A/MEF2C). Purifying high-confidence binding sites in mouse fetal heart, enabled us to study the co-binding properties of TFs in cis-regulatory elements. We could also traced TFs footprints in selected heart-specific VISTA enhancers chromatin accessible regions.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 2
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Discovery of Primary, Cofactor, and Novel Transcription Factor Binding Site Motifs by Recursive, Thresholded Entropy Minimization
Ruipeng Lu, Eliseos J Mucaki, Peter K Rogan·bioRxiv·Mar 9, 2016
- Mocap: Large-scale inference of transcription factor binding sites from chromatin accessibility
Xi Xian Chen, Bowen Yu, … Richard Bonneau·Nucleic Acids ResearchPeer-reviewed·Mar 6, 2017
- A Weighted Two-stage Sequence Alignment Framework to Identify DNA Motifs from ChIP-exo Data
Yang Li, Yizhong Wang, … Bingqiang Liu·PatternsPeer-reviewed·Feb 2, 2024
- Discovering a less-is-more effect to select transcription factor binding sites informative for motif inference
Jinrui Xu, Jiahao Gao, Mark Gerstein·bioRxiv·Nov 29, 2020
- GimmeMotifs: an analysis framework for transcription factor motif analysis
Niklas Bruse, Simon J. van Heeringen·bioRxiv·Nov 20, 2018
- Systematic analysis of the genomic features involved in the binding preferences of transcription factors
R. Romero, Christophe Menichelli, … Laurent Bréhélin·bioRxiv·Aug 16, 2022