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Alkahest

Bristol-Myers Squibb

Louisiana State University

Henry Ford Health System

Cambridge University

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…and more

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You provide a few key clinical data elements, we provide 5,000+ highly reproducible measurements at a reduced cost

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Click here to learn more about our flexible terms

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We provide 4,500 highly reproducible measurements on a simple fee-for-service basis (no data sharing required)

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如何使用风赛

PROTEIN ASSAYS COMPLEMENT GENOMICS TO IDENTIFY:​
  • Patient subpopulations
  • Novel therapeutic targets
  • New disease applications for approved drugs
  • Possible safety concerns
  • Mechanisms of action

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如何使用风赛

CVD

Circulating proteins are powerful indicators of cardiovascular disease. Explore >25 CVD publications featuring SomaScan data.

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ONCOLOGY

Identify and characterize cancers and predict response to immunotherapy by measuring circulating proteins.

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NASH & NAFLD

The SomaScan Assay can be used to detect biomarkers associated with nonalcoholic steatohepatitis and nonalcoholic fatty liver disease. 

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Proteomics can shed light on the pathology of infectious disease, discover predictors of disease progression, or demonstrate treatment response.

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The SomaScan platform is optimized for clinical proteomics​

Largest Menu

The largest commercial proteomic assay on the market, providing over 5,000 protein measurements.

680 samples/day

Our workflow is massively multiplexed with considerable controls to yield fast, accurate data.

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With average CVs of <5%, SomaScan reagents provide reproducible results for patient samples and healthy controls.

8 log dynamic range

Our unique approach detects very rare proteins and highly abundant proteins from the same sample simultaneously.

Comprehensive
liquid health check

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Protein signatures from 17,000 samples were compared with traditional health indicators to generate 13 predictive models.

Read in Nature Medicine

linking genetics
to disease

Circulating proteins were used to identify 27 network modules associated with CVD, metabolic diseases, and overall survival.

Read in Science

building a
proteomic atlas

Quantitative trait loci (QTLs) were compared with protein QTLs to identify links and highlight biomarkers with causal roles.

Read in Nature

profiling
aging-related disease

Waves of proteomic changes across lifespan reflect distinct pathways, particularly in the seventh and eighth decades of life.

Read in Nature Medicine

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