Discovery Proteomics (Untargeted)
Discovery Proteomics (Untargeted)
Untargeted discovery proteomics is a comprehensive method for analyzing unbiased, large-scale protein expression across complex biological samples. Proteomic information is instrumental in uncovering novel biomarkers, mapping cellular signaling pathways, and understanding disease mechanisms. High-resolution mass spectrometry platforms make untargeted proteomics an indispensable tool for hypothesis-free discovery research.
Discovery Proteomics Introduction
Aruna’s proteomics service enables the global identification and relative quantification of thousands of proteins in a single run. By employing advanced shotgun proteomics and data-dependent or data-independent acquisition strategies, our platform delivers an unbiased, high-depth view of the cellular proteome. This empowers researchers to map complex biological networks and identify key regulatory targets for follow-on functional validation.
Untargeted proteomics can be applied across diverse research areas, including oncology, neurobiology, biomarker screening, and drug target identification. It provides critical insights into proteome-wide perturbations under pathological or experimental conditions, serving as a cornerstone of modern translational biology.
Our high-efficiency discovery workflows transition researchers away from traditional low-throughput immunoassays toward high-content proteomic profiling. We offer customized depth and chromatographic separation options tailored to your specific research goals. Contact us for a no-obligation discussion about your project.
Sample Requirements
Regular Samples (Cells / Tissue / Fluids):
Cell Pellets: ≥1×106
Tissue: ≥20 mg (flash-frozen)
Plasma / Serum: ≥50 μL (debris-free)
Extracted Protein / Peptides:
Total Protein: ≥50 μg (Recommend ≥100 μg)
Concentration: ≥1.0 mg/mL
Purity: Free from detergent interference (SDS<0.1%) and high-salt buffers.
Technical Standards
High-resolution Orbitrap / timsTOF LC-MS/MS instrumentation
Guaranteed ≥85% peptide identification confidence threshold (FDR <1%)
Standard depth of 4,000–8,000+ quantified proteins per deep-fractionated sample cohort