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What is the Olink Target 96 Inflammatory Panel
The Olink Target 96 Inflammatory Panel serves as an advanced proteomic analysis tool, developed to conduct detailed examinations of biomarkers linked to inflammatory processes. By facilitating high-throughput, multiplex protein detection, this platform supports the quantification of 92 proteins associated with inflammation using minimal sample volumes (e.g., 1μL of plasma, serum, or biofluids).
Encompassing diverse inflammatory mechanisms and immune system activities, the panel is a critical resource for exploring inflammation's contributions to conditions such as rheumatoid arthritis, Crohn's disease, ulcerative colitis, neuroinflammatory disorders, and respiratory ailments. Its exceptional specificity, sensitivity, and reproducibility ensure robust data output, which is vital for biomarker identification, immune response characterization, and translational research advancements.
Features of the panel
- High-Throughput Multiplex Analysis – Simultaneously quantifies 92 inflammation-related proteins in up to 88 samples per run.
- Low Sample Requirement – Requires only 1μL of sample, preserving valuable biological material.
- Expert-Curated Biomarkers – Includes established inflammation markers and novel candidate biomarkers carefully selected by experts.
- Wide Disease Coverage – Supports research in autoimmune diseases, chronic inflammatory conditions, cardiovascular diseases, and cancer.
- Superior Sensitivity & Specificity – Utilizes Olink's PEA (Proximity Extension Assay) technology, ensuring high precision and minimal cross-reactivity.
- Application in Research & Clinical Translation – Ideal for immune mechanism studies, biomarker discovery, and translational research in inflammation and immune-related disorders.
List of 92 Inflammatory Proteins
Protein category
The panel encompasses a wide array of proteins, including cytokines, chemokines, growth factors, receptors, TNF family proteins, enzymes, signaling molecules, and other functional proteins. These proteins are integral to a variety of biological processes, such as immune regulation, inflammation, cell signaling, cell growth and differentiation, tissue repair, apoptosis, metabolic regulation, and cellular communication. Each category plays a distinct role in maintaining cellular homeostasis and coordinating complex physiological responses.
Table. List of Olink Target 96 Neuro Exploratory Panel
| Protein Category | UniProt ID | Gene | Protein Name |
| Cytokines | Q14116 | IL18 | Interleukin-18 |
| P60568 | IL2 | Interleukin-2 | |
| P13232 | IL7 | Interleukin-7 | |
| P05231 | IL6 | Interleukin-6 | |
| Q9P0M4 | IL17C | Interleukin-17C | |
| Q16552 | IL17A | Interleukin-17A | |
| P01583 | IL1A | Interleukin-1 alpha | |
| Q9NYY1 | IL20 | Interleukin-20 | |
| P22301 | IL10 | Interleukin-10 | |
| P35225 | IL13 | Interleukin-13 | |
| Q13007 | IL24 | Interleukin-24 | |
| P05113 | IL5 | Interleukin-5 | |
| O95760 | IL33 | Interleukin-33 | |
| P05112 | IL4 | Interleukin-4 | |
| P29460 | IL12B | Interleukin-12 subunit beta | |
| P01579 | IFNG | Interferon gamma | |
| Chemokines | Q99616 | CCL13 | C-C motif chemokine 13 |
| P51671 | CCL11 | Eotaxin | |
| P13236 | CCL4 | C-C motif chemokine 4 | |
| Q99731 | CCL19 | C-C motif chemokine 19 | |
| P80098 | CCL7 | C-C motif chemokine 7 | |
| P42830 | CXCL5 | C-X-C motif chemokine 5 | |
| P09341 | CXCL1 | Growth-regulated alpha protein | |
| O14625 | CXCL11 | C-X-C motif chemokine 11 | |
| Q07325 | CXCL9 | C-X-C motif chemokine 9 | |
| P02778 | CXCL10 | C-X-C motif chemokine 10 | |
| P80162 | CXCL6 | C-X-C motif chemokine 6 | |
| P10147 | CCL3 | C-C motif chemokine 3 | |
| P55773 | CCL23 | C-C motif chemokine 23 | |
| P78556 | CCL20 | C-C motif chemokine 20 | |
| O15444 | CCL25 | C-C motif chemokine 25 | |
| P80075 | CCL8 | C-C motif chemokine 8 | |
| P78423 | CX3CL1 | Fractalkine | |
| Growth Factors | P21583 | KITLG | Kit ligand |
| P01135 | TGFA | Protransforming growth factor alpha | |
| Q9GZV9 | FGF23 | Fibroblast growth factor 23 | |
| P12034 | FGF5 | Fibroblast growth factor 5 | |
| Q9NSA1 | FGF21 | Fibroblast growth factor 21 | |
| P01138 | NGF | Beta-nerve growth factor | |
| P15692 | VEGFA | Vascular endothelial growth factor A | |
| P39905 | GDNF | Glial cell line-derived neurotrophic factor | |
| P01137 | TGFB1 | Transforming growth factor beta-1 proprotein | |
| Q5T4W7 | ARTN | Artemin | |
| P14210 | HGF | Hepatocyte growth factor | |
| P20783 | NTF3 | Neurotrophin-3 | |
| Q99748 | NRTN | Neurturin | |
| O95750 | FGF19 | Fibroblast growth factor 19 | |
| Receptors | Q13651 | IL10RA | Interleukin-10 receptor subunit alpha |
| P42702 | LIFR | Leukemia inhibitory factor receptor | |
| Q13261 | IL15RA | Interleukin-15 receptor subunit alpha | |
| Q08334 | IL10RB | Interleukin-10 receptor subunit beta | |
| Q8N6P7 | IL22RA1 | Interleukin-22 receptor subunit alpha-1 | |
| Q13478 | IL18R1 | Interleukin-18 receptor 1 | |
| O00300 | TNFRSF11B | Tumor necrosis factor receptor superfamily member 11B | |
| P14784 | IL2RB | Interleukin-2 receptor subunit beta | |
| Q9BZW8 | CD244 | Natural killer cell receptor 2B4 | |
| Q8NFT8 | DNER | Delta and Notch-like epidermal growth factor-related receptor | |
| P25942 | CD40 | Tumor necrosis factor receptor superfamily member 5 | |
| P30203 | CD6 | T-cell differentiation antigen CD6 | |
| Q07011 | TNFRSF9 | Tumor necrosis factor receptor superfamily member 9 | |
| Q9UHF4 | IL20RA | Interleukin-20 receptor subunit alpha | |
| TNF Family | O43557 | TNFSF14 | Tumor necrosis factor ligand superfamily member 14 |
| O14788 | TNFSF11 | Tumor necrosis factor ligand superfamily member 11 | |
| P01375 | TNF | Tumor necrosis factor | |
| P50591 | TNFSF10 | Tumor necrosis factor ligand superfamily member 10 | |
| O43508 | TNFSF12 | Tumor necrosis factor ligand superfamily member 12 | |
| P01374 | LTA | Lymphotoxin-alpha | |
| Enzymes | P03956 | MMP1 | Interstitial collagenase |
| P00749 | PLAU | Urokinase-type plasminogen activator | |
| P28325 | CST5 | Cystatin-D | |
| P09238 | MMP10 | Stromelysin-2 | |
| P00813 | ADA | Adenosine deaminase | |
| P50225 | SULT1A1 | Sulfotransferase 1A1 | |
| Q14790 | CASP8 | Caspase-8 | |
| Other Signaling Molecules | Q13291 | SLAMF1 | Signaling lymphocytic activation molecule |
| Q9NZQ7 | CD274 | Programmed cell death 1 ligand 1 | |
| Q9H5V8 | CDCP1 | CUB domain-containing protein 1 | |
| P06127 | CD5 | T-cell surface glycoprotein CD5 | |
| P01732 | CD8A | T-cell surface glycoprotein CD8 alpha chain | |
| P80511 | S100A12 | Protein S100-A12 | |
| O15169 | AXIN1 | Axin-1 | |
| Q8IXJ6 | SIRT2 | NAD-dependent protein deacetylase sirtuin-2 | |
| Q13541 | EIF4EBP1 | Eukaryotic translation initiation factor 4E-binding protein 1 | |
| O95630 | STAMBP | STAM-binding protein | |
| Others | Q969D9 | TSLP | Thymic stromal lymphopoietin |
| P13725 | OSM | Oncostatin-M | |
| P13500 | CCL2 | C-C motif chemokine 2 | |
| P10145 | CXCL8 | Interleukin-8 | |
| Q9NRJ3 | CCL28 | C-C motif chemokine 28 | |
| P49771 | FLT3LG | Fms-related tyrosine kinase 3 ligand | |
| P15018 | LIF | Leukemia inhibitory factor | |
| P09603 | CSF1 | Macrophage colony-stimulating factor 1 |
Protein Functions
Biological process
In terms of biological processes, 92 proteins are mainly related to apoptosis process, cell activation and participation in immune response, cell response to cytokine stimulation, inflammatory response, and regulation of immune response.
Kegg pathways
The most enriched pathways were analyzed, Among the 92 protein enrichment pathways, the most numerous is Cytokine-cytokine receptor interaction, followed by Jak-STAT signaling pathway, IL-17 signaling pathway and PI3K-Akt signaling pathway, etc.
Workflow of Target 96 Inflammatory Panel
Demo Results of Olink Data
(Figures come from Ding, R., et al. 2024)
The bar chart displayed the number of proteins.
Volcano plots of differentially expressed proteins.
Heatmap of differentially expressed proteins.
Case Study
Distinct serum immune profiles define the spectrum of acute and chronic pancreatitis from the multi-center PROCEED study
Journal: Gastroenterology
Year: 2024
- Background
- Results
Pancreatitis is characterized by continuity, beginning with acute pancreatitis (AP) and progressing to recurrent acute pancreatitis (RAP) and chronic pancreatitis (CP) in some specific cases. There are currently no approved treatments for pancreatitis or biomarkers for early diagnosis or prognosis.This study targeted a specific biomarker using an Olink Target-96 inflammation panel for patient serum immunoassay and provided mechanism insights into the disease continuum of pancreatitis.
An Olink immunoassay was used to evaluate participation in chronic pancreatitis. Systemic immune profiles (protein levels of 92 immune markers) in serum samples from participants of the Diabetes and Pancreatic Cancer (CPDPC) Consortium's Prospective Evaluation of Chronic pancreatitis Epidemiology and Translational Studies (PROCEED) study. A total of 231 participants from the PROCEED study cohort:
Heatmap of raw NPX values from 231 serum samples. (Lee, B., et al. 2023).
FAQs
What is the best biomarker for inflammation in Olink?
The best biomarker for inflammation in Olink depends on the specific research question and context. However, some of the most commonly used and highly relevant inflammatory biomarkers in Olink panels include:C-reactive protein (CRP) ,Interleukin-6 (IL-6) ,Tumor necrosis factor-alpha (TNF-α) ,Interleukin-1 beta (IL-1β) ,Interleukin-8 (IL-8, CXCL8),Monocyte chemoattractant protein-1 (MCP-1, CCL2) ,Interferon-gamma (IFN-γ) ,Transforming growth factor-beta (TGF-β1) .
Why Creative Proteomics
Dedicated Expertise
Our team provides comprehensive support, from experimental design to data interpretation, ensuring you get the most out of the Olink platform.
Customized Solutions
We tailor experimental workflows to fit your specific research needs, optimizing accuracy and efficiency.
Trusted Results
Stringent quality control measures guarantee reliable, reproducible, and high-quality data for confident decision-making.
Cutting-Edge Technology
Leverage the latest advancements in proteomics with our state-of-the-art analytical solutions.
Sample Requirements
| Sample Type | Recommended Sample Size | Sample Quality | Pre-treatment and Storage | Sample Transport |
| Plasma/Serum/Body Fluid | 40µL/sample | Protein concentration: 0.5mg/ml ~ 1mg/ml | Transfer to a clean tube, aliquot into EP tubes or 96-well plates, store at -80℃ | Seal with foil, ship with dry ice |
| Tissue | ||||
| Cells | ||||
| Exosomes | ||||
| Other |
References
- Ding, R., Wu, L., Wei, S., et al. (2024). Multi-targeted olink proteomics analyses of cerebrospinal fluid from patients with aneurysmal subarachnoid hemorrhage. Proteome science, 22(1), 11. https://doi.org/10.1186/s12953-024-00236-x
- Lee, B., Jones, E. K., Manohar, M., et.al (2023). Distinct Serum Immune Profiles Define the Spectrum of Acute and Chronic Pancreatitis From the Multicenter Prospective Evaluation of Chronic Pancreatitis for Epidemiologic and Translational Studies (PROCEED) Study. Gastroenterology, 165(1), 173–186. https://doi.org/10.1053/j.gastro.2023.03.236