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Proteomics Services

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CellCarta proteomics scientist operating LC-MS/MS instruments for multiplexed biomarker quantification and discovery

Clinical Proteomic Platforms

Discover, quantify, and validate protein biomarkers through our proteomics services, built for translational research and regulatory-grade bioanalysis.

1000+ Studies supported
25+ Years of proteomics experience
20+ PhD principal scientists

Proteomics Services for Every Program

Scientists performing multiplexed LC-MRM/MS biomarker quantification.

Biomarker Quantification

Multiplexed biomarker quantification using LC-MS and immunoassays.

CellCarta researcher using LC-MS/MS for unbiased discovery proteomics to identify novel biomarkers in clinical samples

Unbiased Discovery

LC-MS/MS for large-scale protein biomarker identification.

Why CellCarta

Precision proteomics built for every program stage, from discovery through to clinical testing.

MS-Powered Precision

Validated Assay Platforms

Integrated Platform Breadth

Multiplexed Quantification

Regulatory-Ready

Case study: HRMS workflow for patient-centric M-protein measurement in myeloma.

Case study

HRMS to Measure M-Protein

CellCarta presents a High-Resolution MS workflow combined with microsampling to measure M-proteins from as little as 10 µL of blood from multiple myeloma patients. This minimally invasive approach enables sensitive, precise, and reproducible measurement, supporting longitudinal monitoring and oncology research applications.

What our clients say

"I turn to CellCarta for my most challenging samples and assay needs. Their mass spec team has a strong reputation for delivering robust, reliable data on tight timelines using advanced technologies for difficult analytical challenges."

Scientist

Biopharma

Ready to advance your proteomics program?

Connect with our proteomics services team to discuss your sample types, endpoints, and requirements, and we’ll identify the right proteomics platform and analytical path for your study.

CellCarta proteomics expert consulting on sample types and platform selection to support clinical biomarker programs