coTRaCTE predicts co-occurring transcription factors within cell-type specific enhancers

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• Cell-type specific gene expression is controlled by transcription factor (TF) combinations.
• Understanding TF co-occurrence is crucial for deciphering regulatory mechanisms.

Purpose of the Study:

• To develop a novel statistical method for predicting cell-type specific TF co-occurrences.
• To identify TF pairs that cooperatively bind to DNA in a cell-type specific manner.

Main Methods:

• Divided DNase hypersensitive sites into cell-type specific and ubiquitous sites across 64 cell types.
• Developed the co-occurring TF predictor on Cell-Type specific Enhancers (coTRaCTE) method.
• Analyzed TF pair co-occurrence patterns to ensure cell-type specificity.

Main Results:

• coTRaCTE predicted over 2000 co-occurring TF pairs in 64 cell types.
• 70% of predicted TF pairs demonstrated high cell-type specificity.
• Predicted TF pairs were enriched for independently validated interacting TFs and revealed functional subnetworks in ESCs.

Conclusions:

• coTRaCTE accurately predicts cell-type specific co-occurring TFs.
• These predictions offer new insights into transcriptional regulatory mechanisms.
• The method highlights distinct functional subnetworks in embryonic stem cells.