Proteomics
CellSeq Solutions LLP offers comprehensive Proteomics, Metabolomics, and Lipidomics services to support basic, translational, and clinical research including the:
Waters Xevo G3 QTof (LC-MS) and Waters ACQUITY UPLC Instrument
Our advanced LC-MS-based workflows provide accurate molecular profiling, enabling researchers to identify biomarkers, understand disease mechanisms, investigate biological pathways, and accelerate drug discovery. From sample processing to bioinformatics interpretation, we deliver end-to-end multi-omics solutions with high-quality data and expert scientific support.
Proteomics Services
Proteomics focuses on the large-scale study of proteins, including their expression, abundance, modifications, and interactions. Our proteomics platform provides comprehensive protein profiling to support biomarker discovery, pathway analysis, disease research, and therapeutic development.
• Discovery (Shotgun) proteomics for global protein identification
• Quantitative proteomics using TMT, DIA, and label-free approaches
• Post-translational modification (PTM) analysis including phosphorylation and acetylation
• Protein-protein interaction and pathway analysis
• Biomarker discovery and validation studies
• TAT: 3–5 days (Targeted) | 7–14 days (Untargeted)
Metabolomics
Metabolomics enables comprehensive analysis of small molecules present within biological systems, providing valuable insights into cellular metabolism, physiological conditions, disease progression, and therapeutic response.
• Comprehensive metabolite profiling
• Targeted metabolomics
• Untargeted metabolomics
• Multiple sample types (Plasma, Serum, Urine, Cell Pellets, Culture Media & Biofluids)
• High-resolution metabolite identification and quantification
• TAT: 3–5 days (Targeted) | 7–14 days (Untargeted)
Lipidomics
Lipidomics is a specialized branch of metabolomics dedicated to the comprehensive analysis of lipids. It supports research in metabolism, cardiovascular diseases, cancer, neuroscience, inflammation, and biomarker discovery.
• In-depth profiling of phospholipids, sphingolipids, neutral lipids, and fatty acids
• Targeted lipid profiling
• Untargeted lipid profiling
• Multiple biological sample types
• Comprehensive lipid identification and quantification
• TAT: 3–5 days (Targeted) | 7–14 days (Untargeted)
Data Interpretation
Our bioinformatics team transforms complex LC-MS data into meaningful biological insights through advanced statistical analysis and pathway interpretation, enabling researchers to confidently interpret their experimental results.
• Progenesis QI-based feature detection, alignment, and normalization
• Multivariate statistical analysis (PCA, PLS-DA)
• Differential expression and biomarker identification
• Pathway enrichment and network analysis
