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Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

CCAT: Combinatorial Code Analysis Tool for transcriptional regulation.

Peng Jiang¹, Mona Singh

¹Department of Computer Science, Princeton University, Princeton, 08540 NJ, USA and Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, 08544 NJ, USA.

Nucleic Acids Research

|December 25, 2013

Summary

This summary is machine-generated.

Researchers developed a computational framework, CCAT, to predict transcription factor (TF) co-binding and uncover TF cooperation during fruit fly embryo development. This tool identified dynamic TF interactions, advancing our understanding of gene regulation.

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Area of Science:

Developmental Biology
Genomics
Computational Biology

Background:

Transcription factor (TF) combinatorial interplay is crucial for achieving specific gene regulation.
Limited knowledge exists regarding TF cooperativity despite available TF binding and occupancy data.

Purpose of the Study:

To develop a computational framework (CCAT) for predicting genome-wide TF co-binding.
To uncover TF cooperativity during Drosophila melanogaster embryo development.

Main Methods:

Predicted genome-wide binding sites for 324 TFs across five developmental stages using TF binding specificity and chromatin accessibility data.
Applied the Combinatorial Code Analysis Tool (CCAT) to identify significantly co-localized TF pairs.
Validated predictions using ChIP-seq data and evolutionary conservation analysis.

Main Results:

Identified 19–58 pairs of cooperating TFs per developmental stage.
Co-localized TF binding sites were enriched in relevant ChIP-seq regions and showed higher evolutionary conservation.
Discovered dynamic TF co-localization patterns across developmental stages.

Conclusions:

CCAT provides a robust method for predicting genome-wide TF co-binding and uncovering cooperativity.
TF cooperativity is dynamic and plays a significant role in regulating gene expression during development.
The findings offer insights into the combinatorial code governing transcriptional specificity.