MIRACLE

MIRACLE manages and analyzes reverse phase protein array (RPPA) data to quantify relative protein abundance across samples for high-throughput proteomic studies.

Key Features:

• Sample Management: Manages sample information from spotting through array analysis to maintain tracking of experimental data.
• Data Processing and Analysis: Performs correction of staining bias, estimation of protein concentration from response curves, and normalization for total protein amount per sample.
• Statistical Evaluation: Provides built-in statistical tools for robust evaluation of processed RPPA data.
• Integration with Established Methods: Integrates established analytical methods to support end-to-end sample management and data analysis.
• Flexibility for Advanced Users: Exports processed data to R for customized or advanced statistical analyses.

Scientific Applications:

• Cancer biology: Supports analysis of protein expression patterns relevant to tumor behavior and treatment responses.
• Drug discovery and development: Facilitates screening of potential therapeutic compounds based on their effects on protein expression.
• Biomarker identification: Aids discovery of novel biomarkers for disease diagnosis or prognosis.

Methodology:

Computational steps and methods explicitly include management of sample information from spotting through array analysis, correction of staining bias, estimation of protein concentration from response curves, normalization for total protein amount per sample, built-in statistical evaluation, integration with established analytical methods, and export of processed data to R.