SpecArray

SpecArray transforms LC-MS data into peptide-versus-sample arrays for quantitative proteomic analysis and identification of discriminatory peptide features across biological samples.

Key Features:

• Peptide Array Generation: Transforms LC-MS data into a structured peptide-versus-sample array mirroring gene expression microarrays and recording relative abundances of thousands of peptide features across samples.
• Data Stratification and Analysis: Performs unsupervised clustering and discriminant analyses to stratify samples by genetic, physiological, or environmental origins and to identify discriminatory peptide features.
• Throughput and Reproducibility: Leverages an LC-MS–based platform to increase throughput and reproducibility for large-scale quantitative proteomics studies.

Scientific Applications:

• Cellular Response Analysis: Quantifies peptide abundances across multiple samples to study cellular responses to perturbations over time.
• Biomarker Discovery: Identifies discriminatory peptide features for protein biomarker discovery from clinical specimens.
• Repeatability Assessment: Evaluates analytical repeatability using replicate LC-MS analyses of the same glycopeptide sample.
• Biological Sample Stratification: Stratifies serum samples from male and female mice based on peptide profiles.

Methodology:

Processes LC-MS data to generate peptide-versus-sample arrays capturing relative peptide abundances, followed by unsupervised clustering and discriminant analysis to identify discriminatory peptide features.