SUMMER

SUMMER integrates transcriptomic, proteomic, and metabolomic data at the metabolic reaction level and applies QC-based calibration of electrospray ionization (ESI) mass spectrometry (MS) signals to improve quantitative metabolomics analyses.

Key Features:

• Integration of Multiomics Data: Combines transcriptomic, proteomic, and metabolomic measurements to model changes in metabolic reactions at the reaction level.
• Addressing Nonlinear ESI Response in MS: Implements a QC-based signal calibration workflow to correct nonlinear ESI signal response in MS and reduce bias in quantitative comparisons.
• Quality Control-Based Signal Calibration: Establishes calibration curves for each metabolic feature using QC samples injected in serial volumes to map MS signal intensities to equivalent QC injection volumes for accurate fold-change calculations.

Scientific Applications:

• Enhanced Quantitative Analysis: Correcting ESI nonlinearity improves the accuracy of quantitative metabolomics and supports generation of reliable biological hypotheses from untargeted metabolomics data.
• Discovery of Significant Metabolic Features: Enables identification of additional significant metabolic features in datasets such as bone marrow interstitial fluid samples from leukemia patients sampled pre- and post-chemotherapy.

Methodology:

Combines transcriptomic, proteomic, and metabolomic datasets to model changes at the metabolic reaction level, and uses QC sample serial injections to build per-feature calibration curves mapping MS signal intensity to QC injection volume to correct nonlinear ESI response for accurate fold-change estimation.