PBM

PBM analyzes universal protein-binding microarrays synthesized by Agilent Technologies to characterize in vitro DNA-binding specificities of transcription factors using high-density 'all 10-mer' probe designs and downstream computational models.

Key Features:

• High-Throughput Analysis: Uses high-density microarrays containing all 10-mer sequence variants to examine TF binding specificities across a wide range of affinities.
• Universal Microarray Design: Employs 'all 10-mer' universal PBMs to enable analysis of transcription factors irrespective of structural class or species origin.
• Parallel Processing: Supports testing multiple proteins simultaneously on a single Agilent-synthesized microarray, enabling parallel processing of a dozen or more TFs.
• Computational Analysis: Extracts relative binding preferences for all possible contiguous and gapped 8-mers to provide detailed interaction patterns.
• Bayesian ANOVA Model: Applies a Bayesian analysis of variance to decompose PBM data into background noise, familywise effects, and specific TF effects for improved concordance with in vivo data.
• Identification of TF Subclasses: Identifies TF subclasses and their shared sequence preferences and detects 8-mers preferentially bound by individual subclass members.

Scientific Applications:

• Characterization of Transcription Factors: Provides quantitative binding-site measurements to characterize DNA-binding specificities of transcription factors.
• Deciphering Regulatory Specificity: Identifies shared and differential sequence preferences among TF subclasses and individual TFs to inform cis-regulatory code interpretation.
• Enhanced Data Quality: Uses Bayesian ANOVA adjustments to reduce background noise and improve comparability of PBM data with in vivo binding studies.

Methodology:

Computational extraction and analysis of relative binding preferences for contiguous and gapped 8-mers combined with a Bayesian ANOVA model that decomposes data into background, familywise, and TF-specific effects.