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Olink® Target 96 Neurology

Together with our Neuro Exploratory panel, this provides the most comprehensive, high-performance protein biomarker solution available for neurological disease studies.

Olink Proteomics

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Description

Our Neurology panel provides a high-throughput, multiplex immunoassay enabling analysis of 92 neurology-related protein biomarkers across 96 samples simultaneously. This high level of multiplexing is achieved without any compromise on data quality, thanks to our proprietary Proximity Extension Assay (PEA) technology.

The panel panel offers a mix of established markers related to neurobiological processes and neurological diseases (e.g. neural development, axon guidance, synaptic function, or specific conditions such as Alzheimer’s disease), as well as some more exploratory proteins with broader roles in processes such as cellular regulation, immunology, development and metabolism. This balanced selection provides an ideal basis for protein biomarker discovery in the neurology area. For optimal assay performance, each analyte in the panel has been assessed in terms of sample material, specificity, precision, sensitivity, dynamic range, matrix effects and interference. Of the 92 assays provided, 89 are new and unique to this panel, with just 3 biomarkers overlapping with other Olink panels.

  • High quality data that you can trust
  • The rapid high throughput analysis that your studies deserve
  • The most effective use of your precious samples (1 µL blood to measure 92 proteins)

The panel is available via fee-for-service analysis, or as a reagent kit (requires a Fludigm® Biomark qPCR instrument to run).

White PapersLife Sciences

Revealing previously inaccessible protein insights from minimal sample volume

Discover the ultimate tool for multiplex protein analysis of precious samples. This white paper provides an overview of how Olink's proximity extension assay (PEA) technology has been used to measure 10s to 1000s of protein biomarkers from minute volumes of precious samples across major research areas, while delivering high data quality and robust performance.

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