Identification of transcription factor high accumulation DNA zones

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• Transcription factors (TF) regulate gene transcription; their dysregulation is linked to cancer and disease.
• Identifying TF-dense DNA regions, specifically high occupancy target (HOT) zones, is essential for biomedical research.
• Systematic analysis of HOT zones can elucidate their characteristics and functional roles in various cells and tissues.

Purpose of the Study:

• To present a comprehensive computational procedure for analyzing TF accumulation in DNA.
• To introduce a method for identifying high occupancy target (HOT) zones.
• To provide a reliable and reproducible assessment of TF binding patterns.

Main Methods:

• Developed a computationally efficient parametric algorithm implemented as an R/Bioconductor package.
• Employed a systematic approach with two alternative methods for examining TF bindings.
• Introduced three distinct accumulation types and a moving window for multi-resolution DNA analysis.

Main Results:

• The proposed methodology allows for in-depth study of DNA dense areas of TF accumulation.
• The computational procedure enables the identification of HOT zones with comparative and reproducible assessments.
• The method offers flexible analysis from single-base to region-oriented levels, considering neighborhood influence.

Conclusions:

• The TFHAZ software package quantitatively assesses the computational procedure.
• Two biological applications demonstrate the reliability and relevance of the developed method.
• This approach facilitates a deeper understanding of TF binding dynamics and their role in biological processes.