Mass spectrometry measures molecules by mass-to-charge ratio, enabling high-resolution protein identification, quantification, post-translational modification analysis, biomarker discovery, and systems-level proteomics.
Mass spectrometry is one of the central technologies of modern proteomics. By converting molecules into ions and measuring their mass-to-charge patterns, researchers can identify proteins, quantify peptide abundance, detect post-translational modifications, and compare molecular signatures across biological and clinical samples.
At PanorOmics, mass spectrometry is presented as a core proteomics research technology: a bridge between protein measurement, pathway activity, biomarker discovery, clinical translation, and multi-omics interpretation.
Measuring protein abundance across samples, tissues, disease states, treatments, and biological conditions.
Identifying proteins by measuring peptide mass, fragmentation patterns, and sequence-informative spectra.
Detecting protein modifications such as phosphorylation, acetylation, ubiquitination, glycosylation, and methylation.
Applying mass spectrometry to translational research, biomarker discovery, diagnostics, and precision medicine studies.
Liquid chromatography coupled with tandem mass spectrometry for high-resolution peptide and protein analysis.
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry used for rapid mass measurement and protein profiling.
High-resolution mass analysis widely used in modern proteomics for accurate peptide identification and quantification.
Mass analysis based on ion flight time, used in proteomics, metabolomics, clinical testing, and biomolecular profiling.
Focused approaches such as SRM, MRM, and PRM used to measure selected proteins or peptides with high reproducibility.
Unbiased mass spectrometry profiling used to identify proteins and molecular signatures across biological samples.
Focused measurement of predefined proteins or peptides for validation, quantification, and translational studies.
Compares protein abundance across samples without chemical or isotopic labeling.
Uses labeling strategies such as TMT or iTRAQ to compare multiple samples in multiplexed proteomics experiments.
Measures phosphorylation events to study signaling pathways, kinase activity, and disease-associated regulation.
Integrates mass spectrometry data with genomic and transcriptomic information to improve protein annotation and discovery.
Related proteomic approaches such as protein identification, protein interaction analysis, and biomarker discovery are explored across the Proteomics Research Center.
Early mass spectrometry established the principle of separating ions by mass-to-charge ratio.
Ionization advances made it possible to analyze larger biomolecules, helping move mass spectrometry toward biological research.
Mass spectrometry became central to large-scale protein identification, peptide sequencing, and proteome analysis.
Liquid chromatography tandem mass spectrometry enabled high-throughput protein identification and quantitative proteomics.
Targeted mass spectrometry strengthened reproducible protein measurement for biomarker validation and translational studies.
Improved instrumentation and workflows expanded proteomics toward lower-input samples, rare cell populations, and single-cell analysis.
AI increasingly supports spectral interpretation, peptide identification, protein quantification, and proteomic signature discovery.
Continue exploring the Proteomics Research Center.
Continue exploring the Proteomics Research Center.
Continue exploring the Proteomics Research Center.