The high-performance solution for inflammation studies, with absolute or relative quantification
Why choose Olink Target 48 Cytokine for your inflammation-related studies?
Olink® Target 48 Cytokine is the ultimate solution for cytokine studies and inflammation-related diseases. The thorough selection of biomarkers ensures that the most important proteins covering key pathways related to cytokine signaling and inflammatory processesare well covered. Inflammation is of central importance for biomedical research and is now believed to be a key underlying factor for the pathophysiology of a wide range of diseases, such as:
Olink Target 48 Cytokine enables analysis of 45 carefully selected proteins across 40 samples simultaneously from just 1 µL sample. In comparison to other products for multiple cytokine analysis, this panels offers superior sensitivity, specificity and dynamic range.
Designed for inflammation studies, with 45 carefully selected assays with the highest relevance for studies of inflammatory diseases, or for investigation of the inflammatory processes that underly many diseases
Absolute quantification in standard concentration units (pg/mL) via provision of calibrators for each assay (first time this is available in a standard Olink panel)
Flexible result generation, with relative quantification in Normalized Proten eXpression (NPX) units also available, as for other Olink panels
Maintains the exceptional performance and data quality of Olink Target 96 panels with qPCR readout (specificity, precision, dynamic range and low sample consumption)
Each analyte in the panel has been validated in terms of specificity, precision, sensitivity, dynamic range, matrix effects and interference
Protein assays included
The panel is mostly comprised of assays for proteins that are included in our highly successful Olink Target 96 panels, but includes one new assay to the Olink portfolio, Granulocyte-macrophage colony-stimulating factor (CSF2) – Uniprot ID P04141. A total of 35 of the 45 targets in Olink Target 48 Cytokine are proteins that are also included in our widely used Olink® Target 96 Inflammation panel, which has been cited in more than 150 peer-reviewed publications.
An overview of how the 45 biomarker assays in the panel are classified according to Biological Process, Disease Area, Tissue Expression and Protein Class (based on widely used public-access bioinformatic databases, including Uniprot, Human Protein Atlas,Gene Ontology (GO) and DisGeNET) can be seen in the charts below. These charts areinteractive: click on a chart-bar or pie-segment to see the list of biomarkers in that classification. Each item in the list links to the detailed biomarker page with validation data. Please note that these classifications are intended for general guidance only and while correct at the time of publication, they are not updated in real-time and you are advised to always check the source databases in order to see the latest updates regarding the information for specific proteins.
Biological ProcessDisease AreaTissue ExpressionProtein Class
A comprehensive list of all protein biomarkers that can be measured using the currently available biomarker panels can be seen on the biomarker library page.
Note: A printable list of the biomarker assays available in this panel, as well as a full data validation document, can be downloaded from our Document download center.
Our biomarker assay panels are available with the flexibility to best suit your needs. You can choose whether to purchase the panels as kits and run them in your own lab, or send your sample the experts at one of the many certified labs around the world offering sample analysis service.
The biomarker pages linked to below include calibrator curves that show the performance of each assay with the estimated sensitivity and dynamic range parameters indicated. These curves are generated during the assay validation process using recombinant antigens, with data presented as Normalized Protein eXpression (NPX) values plotted against protein concentration (in pg/mL). Please note that when analyzing biological samples the data generated will be given in the form of relative quantification (NPX values) and cannot be converted to absolute protein concentrations. For more info about NPX measurements, please view the FAQ.