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Unbiased proteomics enables the identification of biomarkers, pathways, and mechanistic signatures without predefined targets. By taking a label-free, discovery-driven approach, researchers can uncover novel biology and drug targets directly from complex biological samples.
CellCarta’s unbiased proteomics platform delivers comprehensive protein coverage, capturing thousands of proteins and post-translational modifications (PTMs) across diverse biological matrices without prior target selection.
Our workflows are designed to generate reliable, high-quality data suitable for translational and clinical research environments.
Through advanced proteomic technologies and expertise across cell, tissue, and biopsy samples, we enable robust, unbiased discovery.
Our LC–MS/MS workflows are powered by cutting-edge instrumentation and support sensitive, in-depth proteome profiling.
Data analysis is conducted by our dedicated bioinformatics team using standardized pipelines designed for reproducibility and traceability. As a CRO, we generate high-quality, regulatory-ready datasets suitable for translational and clinical research environments.
CellCarta offers the Olink® Reveal platform for high-sensitivity measurement of ~1000 predefined protein targets. Complementary to LC–MS/MS, Olink Reveal enables focused, high-depth analysis of established targets and can serve as an alternative discovery strategy when study objectives are centered on predefined panels.
Key advantages of Olink include:
Characterizing naturally presented MHC-bound peptides (the immunopeptidome) is essential for understanding antigen presentation and immune recognition. While computational algorithms are often used to predict which peptides may bind to MHC molecules, predicted candidates do not always reflect what is actually presented in tissue. Direct measurement of the immunopeptidome is therefore essential for physiologically relevant insight.
To enable scalable and reproducible analysis, CellCarta has developed a high-throughput workflow for the identification of naturally presented MHC-bound peptides. By automating the immunoaffinity enrichment step using a KingFisher magnetic particle processor, we reduce manual variability and enable consistent, large-cohort processing.
To support target prioritization, our Antigen Atlas database provides a curated reference of MHC class I–presented peptides identified across healthy and tumor-adjacent tissues, enabling thorough assessment of tissue specificity and potential on-target/off-tissue effects.
Key applications of our MHC peptide workflow include:
Our teams bring technical expertise and operational rigor to support unbiased proteomic research, offering:
Want to find out more about how we can support your unbiased proteomic discovery?