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What is the Olink Target 96 Cardiovascular III Panel
Customized panel for human
The Olink Target 96 Cardiovascular III Panel is designed to accurately quantify proteins, with comprehensive biomarker details accessible on our company website. Employing advanced Biomarker technology, the panel analyzes 92 proteins through a three-step process: incubation, extension/amplification, and detection. During the incubation phase, DNA-labeled antibody pairs are added to the sample and incubated overnight to bind specific target proteins. The next day, extension and amplification steps produce unique DNA reporter sequences for each protein, followed by preamplification using standard PCR. Detection is performed using high-throughput real-time qPCR on the Olink Signature Q100 System to measure the DNA reporter sequences. To ensure unbiased analysis, samples were randomly allocated across plates. Data quality control and normalization were conducted using internal extension and interplate controls, addressing both intra- and inter-batch variability. Protein levels are expressed as normalized protein expression (NPX) values, calculated on a log2 scale for accurate and reliable interpretation.
Features of the pane
- Species: Primarily tested for human proteins; cross-reactivity with other species is not confirmed.
- Proteins: Measures 92 protein biomarkers simultaneously in a single run.
- Sample: Just 1µL of plasma, serum, or comparable biofluids is required.
- Readout: Delivers data in normalized protein expression (NPX) units, ensuring reliable quantification of protein abundance.
- Platform: Optimized for use with the Olink Signature Q100 platform for streamlined performance.
List of 92 human derived biomarkers
Protein category
The Olink Target 96 Oncology III Panel includes 92 proteins categorized into nine main groups:
the Cytokines & Growth Factors (7), Receptors (18), the enzymes (17), Extracellular Matrix Proteins (6), Immune-related Proteins (10), Transport & Binding Proteins (6), Enzyme Inhibitors (5), Signaling Molecules (9), and other functional proteins (14). These protein biomarkers were selected by taking into account both their dynamic range in the sample and their closeness to cardiovascular disease. The Cardiovascular Disease-III panel contains known human cardiovascular and inflammatory markers as well as candidate proteins with great potential as cardiovascular disease markers. Each protein was carefully selected by experts in the field. Each of the low-abundance protein analytes of interest has been evaluated in terms of sample material, specificity, precision, sensitivity, dynamic range, matrix effects, and interference.
Table. List of Olink Target 96 Cardiovascular III Panel.
Protein Category | UniProt ID | Gene | Protein Name |
Cytokines & Growth Factors | Q99988 | GDF15 | Growth/differentiation factor 15 |
P13500 | CCL2 | C-C motif chemokine 2 | |
Q9H2A7 | CXCL16 | C-X-C motif chemokine 16 | |
O15467 | CCL16 | C-C motif chemokine 16 | |
Q16663 | CCL15 | C-C motif chemokine 15 | |
Q9Y275 | TNFSF13B | Tumor necrosis factor ligand superfamily member 13B | |
P04085 | PDGFA | Platelet-derived growth factor subunit A | |
Receptors | P01130 | LDLR | Low-density lipoprotein receptor |
Q96F46 | IL17RA | Interleukin-17 receptor A | |
P20333 | TNFRSF1B | Tumor necrosis factor receptor superfamily member 1B | |
P54760 | EPHB4 | Ephrin type-B receptor 4 | |
P01589 | IL2RA | Interleukin-2 receptor subunit alpha | |
O14798 | TNFRSF10C | Tumor necrosis factor receptor superfamily member 10C | |
P08887 | IL6R | Interleukin-6 receptor subunit alpha | |
P30530 | AXL | Tyrosine-protein kinase receptor UFO | |
P14778 | IL1R1 | Interleukin-1 receptor type 1 | |
O00300 | TNFRSF11B | Tumor necrosis factor receptor superfamily member 11B | |
P36941 | LTBR | Tumor necrosis factor receptor superfamily member 3 | |
Q92956 | TNFRSF14 | Tumor necrosis factor receptor superfamily member 14 | |
P25445 | FAS | Tumor necrosis factor receptor superfamily member 6 | |
P19438 | TNFRSF1A | Tumor necrosis factor receptor superfamily member 1A | |
Q01638 | IL1RL1 | Interleukin-1 receptor-like 1 | |
P00533 | EGFR | Epidermal growth factor receptor | |
Q03405 | PLAUR | Urokinase plasminogen activator surface receptor | |
P78324 | SIRPA | Tyrosine-protein phosphatase non-receptor type substrate 1 | |
Enzymes | P14780 | MMP9 | Matrix metalloproteinase-9 |
P24158 | PRTN3 | Myeloblastin | |
P10646 | TFPI | Tissue factor pathway inhibitor | |
P05164 | MPO | Myeloperoxidase | |
P13686 | ACP5 | Tartrate-resistant acid phosphatase type 5 | |
P15144 | ANPEP | Aminopeptidase N | |
P15085 | CPA1 | Carboxypeptidase A1 | |
P15086 | CPB1 | Carboxypeptidase B | |
P07339 | CTSD | Cathepsin D | |
Q92876 | KLK6 | Kallikrein-6 | |
P08254 | MMP3 | Stromelysin-1 | |
Q9UBR2 | CTSZ | Cathepsin Z | |
P15166 | PON3 | Serum paraoxonase/lactonase 3 | |
P00750 | PLAT | Tissue-type plasminogen activator | |
P08253 | MMP2 | 72 kDa type IV collagenase | |
P00749 | PLAU | Urokinase-type plasminogen activator | |
P42574 | CASP3 | Caspase-3 | |
Extracellular Matrix Proteins | Q9HCB6 | SPON1 | Spondin-1 |
P98160 | HSPG2 | Basement membrane-specific heparan sulfate proteoglycan core protein | |
Q9NQ76 | MEPE | Matrix extracellular phosphoglycoprotein | |
P02452 | COL1A1 | Collagen alpha-1(I) chain | |
P10451 | SPP1 | Osteopontin | |
P35247 | SFTPD | Pulmonary surfactant-associated protein D | |
Immune-related Proteins | P05107 | ITGB2 | Integrin beta-2 |
P20160 | AZU1 | Azurocidin | |
P16109 | SELP | P-selectin | |
Q86VB7 | CD163 | Scavenger receptor cysteine-rich type 1 protein M130 | |
P17931 | LGALS3 | Galectin-3 | |
Q9UM47 | NOTCH3 | Neurogenic locus notch homolog protein 3 | |
Q9NPY3 | CD93 | Complement component C1q receptor | |
Q9HCN6 | GP6 | Platelet glycoprotein VI | |
Q9Y624 | F11R | Junctional adhesion molecule A | |
Q5T2D2 | TREML2 | Trem-like transcript 2 protein | |
Transport & Binding Proteins | P02786 | TFRC | Transferrin receptor protein 1 |
P15090 | FABP4 | Fatty acid-binding protein | |
P08833 | IGFBP1 | Insulin-like growth factor-binding protein 1 | |
P18065 | IGFBP2 | Insulin-like growth factor-binding protein 2 | |
Q16270 | IGFBP7 | Insulin-like growth factor-binding protein 7 | |
Q96PL1 | SCGB3A2 | Secretoglobin family 3A member 2 | |
Enzyme Inhibitors | P05121 | SERPINE1 | Plasminogen activator inhibitor 1 |
Q99727 | TIMP4 | Metalloproteinase inhibitor 4 | |
P04080 | CSTB | Cystatin-B | |
O95998 | IL18BP | Interleukin-18-binding protein | |
P19957 | PI3 | Elafin | |
Signaling Molecules | Q12860 | CNTN1 | Contactin-1 |
P80370 | DLK1 | Protein delta homolog 1 | |
Q13740 | ALCAM | CD166 antigen | |
P33151 | CDH5 | Cadherin-5 | |
P28799 | GRN | Progranulin | |
Q13867 | BLMH | Bleomycin hydrolase | |
Q99969 | RARRES2 | Retinoic acid receptor responder protein 2 | |
P16284 | PECAM1 | Platelet endothelial cell adhesion molecule | |
P04275 | VWF | von Willebrand factor | |
Others | P16581 | SELE | E-selectin |
Q9HD89 | RETN | Resistin | |
Q13231 | CHIT1 | Chitotriosidase-1 | |
P16422 | EPCAM | Epithelial cell adhesion molecule | |
Q07654 | TFF3 | Trefoil factor 3 | |
P56470 | LGALS4 | Galectin-4 | |
O75594 | PGLYRP1 | Peptidoglycan recognition protein 1 | |
Q8NBP7 | PCSK9 | Proprotein convertase subtilisin/kexin type 9 | |
P02144 | MB | Myoglobin | |
NT-proBNP | NT-proBNP | N-terminal prohormone of brain natriuretic peptide | |
P27930 | IL1R2 | Interleukin-1 receptor type 2 | |
P36222 | CHI3L1 | Chitinase-3-like protein 1 | |
Q9UBR2 | CTSZ | Cathepsin Z | |
P15086 | CPB1 | Carboxypeptidase B |
Protein Functions
Biological process
Primarily associated with immune systerm diseases, signal transduction, innate immune system, and cytokine signaling in immune systerm.

Disease area
Primarily associated with carsiovascule, metsbolic, cancer, imuune, and rheumatoid arthritis.

Workflow of Olink Proteomics
Demo Results of Olink Data

Diabetic AVs show sex-specific molecular pathway differences. (Miriam Goñi-Olóriz, et al. 2025)
Case Study

Cardiomyocyte and stromal cell cross-talk influences the pathogenesis of arrhythmogenic cardiomyopathy: a multi-level analysis uncovers DLK1-NOTCH pathway role in fibro-adipose remodelling
Journal: Cell death discovery
Year: 2024
- Background
- Results
ACM is a life-threatening, genetically determined disease primarily caused by gene mutations in desmosomal genes such as PKP2. Due to the complex etiology of ACM, the pathogenesis has not been fully elucidated, and there are currently no treatment methods targeting its causes. Various types of cardiomyocytes affected by gene mutations, such as cardiomyocytes (CM) and cardiac mesenchymal stem cells (cMSC), each contribute to the ACM phenotype, driving functional abnormalities and fibrofatty replacement, respectively. However, the relative importance of changes in CM and cMSC, as well as their interactions in disease progression, remain poorly understood.
Cell-to-cell communication occurs through paracrine signaling, involving soluble mediators. To investigate the efficient release of these mediators, we conducted a secretome analysis of co-cultures using Olink technology. Conditioned media were collected, and 92 cardiovascular-related factors were screened, with 36 showing differential secretion across four co-culture groups. Figure 5A illustrates the secretion diversity, while levels of the 36 factors are detailed. We focused on factors linked to ACM-dependent phenotypic changes. Col1a1, MMP9, and TIMP4 secretion increased in ACM-containing cMSC co-cultures (Figures 5B-D). Fibrosis- and mechanosensory-related factors, such as uPAR and PECAM-1, were elevated in ACM cMSCs and HC cMSCs, respectively (Figures 5E-F). GDF-15 and LDL receptors were upregulated in ACM cMSC co-cultures, while MBs were more abundant in ACM CM co-cultures (Figures 5G-I). Notably, DLK1 was uniquely secreted by HC CM co-cultures (Figure 5L).
Figure 1. Proteins involved in co-culturing paracrine interactions. (Angela Serena Maione, et al. 2024)
FAQs
How are the biomarkers in the Olink panel selected?
When building the new panel, we gathered information from widely used public bioinformatics databases such as Uniprot, Human Protein Atlas, Gene Ontology, and DisGeNET. We select and evaluate a combination of known and exploratory biomarkers to obtain suitable antibodies, which are then required to pass our rigorous validation tests and requirements. The selection process and panel composition are developed based on the input of experts in the respective fields.
What instruments do I need to run the Olink Target 96?
If you are running our panels in your lab, the Olink Signature Q100 needs to be used for detection and quantification. A validated PCR instrument with a reaction volume of 100 μL with a heated lid is also required during the extension step of the protocol. Standard BioTool's BioMark HD Reader and IFC Controller HX/MX/AX/Juno can be used in place of the Olink Signature Q100.
Should I dilute my samples before shipping them to Olink?
Generally not. For our dilution panels, we dilute your sample as part of the analysis. However, if you are running a matrix sample other than serum or plasma, we recommend that you discuss the dilution with your sales representative or our Olink support team, as well as protein concentration or cell density in some cases.
Why Creative Proteomics
Cutting-Edge Data Integration
Combining Olink proteomics with multi-omics data enables holistic disease insights and accelerates therapeutic target discovery.
Customized Analytical Pipelines
Custom bioinformatics pipelines are created to enable precise data processing and generate actionable insights in complex research projects.
Collaborative Research Partnerships
collaborates with academia and industry, offering co-development and innovative solutions to achieve impactful research outcomes.
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
- Maione, A. S., Iengo, L., Sala, L., et al. (2024). Cardiomyocyte and stromal cell cross-talk influences the pathogenesis of arrhythmogenic cardiomyopathy: a multi-level analysis uncovers DLK1-NOTCH pathway role in fibro-adipose remodelling. Cell death discovery, 10(1), 484. https://doi.org/10.1038/s41420-024-02232-8
- Goñi-Olóriz, M., Garaikoetxea Zubillaga, M., San Ildefonso-García, S., et al. (2025). Chemerin is a new sex-specific target in aortic stenosis concomitant with diabetes regulated by the aldosterone/mineralocorticoid receptor axis. American journal of physiology. Heart and circulatory physiology, 328(3), H639–H647. https://doi.org/10.1152/ajpheart.00763.2024