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What is the Olink Target 96 Cell Regulation Panel
Customized panel for human
The Olink Target 96 Cell Regulation Panel is designed to accurately quantify proteins, with comprehensive biomarker details available on our company website. Leveraging advanced Biomarker technology, the panel analyzes 92 proteins through a three-step process: incubation, extension/amplification, and detection. During incubation, DNA-labeled antibody pairs are added to the sample and incubated overnight to bind specific target proteins. The next day, extension and amplification steps create 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 non-human species is not confirmed.
- Proteins: Analyzes 92 protein biomarkers in a single, high-throughput assay.
- Sample: Only 1µL of plasma, serum, or related biofluids is required.
- Readout: Provides results in normalized protein expression (NPX) units, offering accurate relative protein quantification.
- Platform: Designed for seamless integration with the Olink Signature Q100 system for consistent and efficient analysis.
List of 92 human derived biomarkers
Protein category
The Olink Target 96 Cell Regulation Panel includes 92 proteins categorized into nine main groups:
the enzymes (14), Signal Transduction Proteins (14), Cytoskeleton and Cell Motility (5), Immune System Proteins (7), Apoptosis and Cell Cycle (4), Transcriptional Regulation (5), Metabolism-Related Proteins (3), Cell Adhesion and ECM Proteins (6), and other functional proteins (34). The selection of these protein biomarkers takes into account both their dynamic range in the sample and their closeness to cellular regulatory processes. The proteins contained in the cardiac metabolic panel were classified and summarized by Uniprot, Human Protein Atlas, Gene Ontology and DisGeNET databases, including cell communication, apoptosis, cell cycle and cell differentiation.
Table. List of Olink Target 96 Cell Regulation Panel.
| Protein Category | UniProt ID | Gene | Protein Name |
| Enzymes | P15848 | ARSB | Arylsulfatase B |
| O75354 | ENTPD6 | Ectonucleoside triphosphate diphosphohydrolase 6 | |
| Q8WYN0 | ATG4A | Cysteine protease ATG4A | |
| Q96SM3 | CPXM1 | Probable carboxypeptidase X1 | |
| O94760 | DDAH1 | N(G),N(G)-dimethylarginine dimethylaminohydrolase 1 | |
| P08237 | PFKM | ATP-dependent 6-phosphofructokinase | |
| O96013 | PAK4 | Serine/threonine-protein kinase PAK 4 | |
| Q8N5S9 | CAMKK1 | Calcium/calmodulin-dependent protein kinase kinase 1 | |
| Q6UB28 | METAP1D | Methionine aminopeptidase 1D | |
| O60243 | HS6ST1 | Heparan-sulfate 6-O-sulfotransferase 1 | |
| Q9Y662 | HS3ST3B1 | Heparan sulfate glucosamine 3-O-sulfotransferase 3B1 | |
| Q10471 | GALNT2 | Polypeptide N-acetylgalactosaminyltransferase 2 | |
| Q06520 | SULT2A1 | Bile salt sulfotransferase | |
| P30041 | PRDX6 | Peroxiredoxin-6 | |
| Signal Transduction Proteins | P21810 | BGN | Biglycan |
| P16562 | CRISP2 | Cysteine-rich secretory protein 2 | |
| P57771 | RGS8 | Regulator of G-protein signaling 8 | |
| Q07960 | ARHGAP1 | Rho GTPase-activating protein 1 | |
| Q9NZN5 | ARHGEF12 | Rho guanine nucleotide exchange factor 12 | |
| O14904 | WNT9A | Protein Wnt-9a | |
| P52564 | MAP2K6 | Dual specificity mitogen-activated protein kinase kinase 6 | |
| P58294 | PROK1 | Prokineticin-1 | |
| P11274 | BCR | Breakpoint cluster region protein | |
| Q9UK85 | DKKL1 | Dickkopf-like protein 1 | |
| O43915 | VEGFD | Vascular endothelial growth factor D | |
| Q9NSA1 | FGF21 | Fibroblast growth factor 21 | |
| O00451 | GFRA2 | GDNF family receptor alpha-2 | |
| O00220 | TNFRSF10A | Tumor necrosis factor receptor superfamily member 10A | |
| Cytoskeleton and Cell Motility | Q13561 | DCTN2 | Dynactin subunit 2 |
| Q13576 | IQGAP2 | Ras GTPase-activating-like protein IQGAP2 | |
| Q9UPY6 | WASF3 | Wiskott-Aldrich syndrome protein family member 3 | |
| Q92558 | WASF1 | Wiskott-Aldrich syndrome protein family member 1 | |
| Q6UXD5 | SEZ6L2 | Seizure 6-like protein 2 | |
| Immune System Proteins | Q9P0V8 | SLAMF8 | SLAM family member 8 |
| O43699 | SIGLEC6 | Sialic acid-binding Ig-like lectin 6 | |
| Q96LC7 | SIGLEC10 | Sialic acid-binding Ig-like lectin 10 | |
| Q9NRM6 | IL17RB | Interleukin-17 receptor B | |
| O95988 | TCL1B | T-cell leukemia/lymphoma protein 1B | |
| Q92982 | NINJ1 | Ninjurin-1 | |
| Q16653 | MOG | Myelin-oligodendrocyte glycoprotein | |
| Apoptosis and Cell Cycle | P04637 | TP53 | Cellular tumor antigen p53 |
| O43521-2 | BCL2L11 | Bcl-2-like protein 11 | |
| Q05516 | ZBTB16 | Zinc finger and BTB domain-containing protein 16 | |
| Q13105 | ZBTB17 | Zinc finger and BTB domain-containing protein 17 | |
| Transcriptional Regulation | Q01543 | FLI1 | Friend leukemia integration 1 transcription factor |
| O43186 | CRX | Cone-rod homeobox protein | |
| P05412 | JUN | Transcription factor AP-1 | |
| O95644 | NFATC1 | Nuclear factor of activated T-cells | |
| O00221 | NFKBIE | NF-kappa-B inhibitor epsilon | |
| Metabolism-Related Proteins | Q02742 | GCNT1 | Beta-1,3-galactosyl-O-glycosyl-glycoprotein beta-1,6-N-acetylglucosaminyltransferase |
| P08237 | PFKM | ATP-dependent 6-phosphofructokinase | |
| O75354 | ENTPD6 | Ectonucleoside triphosphate diphosphohydrolase 6 | |
| Cell Adhesion and ECM Proteins | O14917 | PCDH17 | Protocadherin-17 |
| O75054 | IGSF3 | Immunoglobulin superfamily member 3 | |
| Q86SJ2 | AMIGO2 | Amphoterin-induced protein 2 | |
| Q9BQT9 | CLSTN3 | Calsyntenin-3 | |
| P21810 | BGN | Biglycan | |
| P02462 | COL4A1 | Collagen alpha-1(IV) chain | |
| Other Functional Proteins | P0CG37 | CFC1 | Cryptic protein |
| P23515 | OMG | Oligodendrocyte-myelin glycoprotein | |
| P47929 | LGALS7_LGALS7B | Galectin-7 | |
| Q6UXK5 | LRRN1 | Leucine-rich repeat neuronal protein 1 | |
| Q8N2G4 | LYPD1 | Ly6/PLAUR domain-containing protein 1 | |
| Q96I82 | KAZALD1 | Kazal-type serine protease inhibitor domain-containing protein 1 | |
| Q96PD2 | DCBLD2 | Discoidin, CUB and LCCL domain-containing protein 2 | |
| Q7Z5R6 | APBB1IP | Amyloid beta A4 precursor protein-binding family B member 1-interacting protein | |
| Q86WV1 | SKAP1 | Src kinase-associated phosphoprotein 1 | |
| P09758 | TACSTD2 | Tumor-associated calcium signal transducer 2 | |
| Q8TD06 | AGR3 | Anterior gradient protein 3 | |
| Q7Z5A7 | TAFA5 | Chemokine-like protein TAFA-5 | |
| Q49AH0 | CDNF | Cerebral dopamine neurotrophic factor | |
| Q9BWV1 | BOC | Brother of CDO | |
| Q9Y2W6 | TDRKH | Tudor and KH domain-containing protein | |
| Q9UKR0 | KLK12 | Kallikrein-12 | |
| Q9UBM4 | OPTC | Opticin | |
| Q9NX58 | LYAR | Cell growth-regulating nucleolar protein | |
| Q9NS71 | GKN1 | Gastrokine-1 | |
| Q9HCU5 | PREB | Prolactin regulatory element-binding protein | |
| Q9H156 | SLITRK2 | SLIT and NTRK-like protein 2 | |
| Q9NZ53 | PODXL2 | Podocalyxin-like protein 2 | |
| Q9UBG0 | MRC2 | C-type mannose receptor 2 | |
| Q9H5Y7 | SLITRK6 | SLIT and NTRK-like protein 6 | |
| Q9C0C4 | SEMA4C | Semaphorin-4C | |
| Q9Y6A5 | TACC3 | Transforming acidic coiled-coil-containing protein 3 | |
| P01242 | GH2 | Growth hormone variant | |
| P01275 | GCG | Pro-glucagon | |
| P25685 | DNAJB1 | DnaJ homolog subfamily B member 1 | |
| A4D1B5 | GSAP | Gamma-secretase-activating protein | |
| O95183 | VAMP5 | Vesicle-associated membrane protein 5 | |
| Q96PQ0 | SORCS2 | VPS10 domain-containing receptor SorCS2 | |
| P22681 | CBL | E3 ubiquitin-protein ligase CBL | |
| Q969V3 | NCLN | Nicalin |
Protein Functions
Biological process
Primarily associated with signal transduction, immune systerm, and pathway in cancer.
Disease area
Primarily associated with metsbolic, carsiovascula, cancer, imuune, and hematological.
Workflow of Olink Proteomics
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
Analysis of Cerebrospinal Fluid Extracellular Vesicles by Proximity Extension Assay: A Comparative Study of Four Isolation Kits
Journal: International journal of molecular sciences
Year: 2020
- Background
- Results
Central nervous system (CNS) disorders lack reliable biomarkers, and diagnosis remains heavily dependent on symptoms, which are both subjective and difficult to quantify. Cerebrospinal fluid (CSF) is closely related to the central nervous system (CNS) and is a promising source of biomarkers. Extracellular vesicles are actively secreted by cells, and proteomic analysis of the composition of CSF extracellular vesicles(EVs) and their molecular composition may reflect changes in the CNS to a greater extent than the total amount of CSF, especially in the case of neuroinflammation, which may increase the permeability of the blood-brain barrier, leading to plasma protein inflow into the CSF. We use the proximity extension method for proteomic analysis due to its high sensitivity. We believe this approach can be used for the discovery of new biomarkers for a number of central nervous system diseases.
We made volcano plots to show the differences between EV and total CSF samples. In terms of cell regulatory panels, neither the MagCap nor EVSecond samples showed any up-regulated proteins compared to total CSF. However, for ExoIntact, there are 3 proteins upregulated: PRDX6, LYAR, and PODXL2 (Figure 7b).
Figure 1. In the cell regulation panel,
there are 3 proteins upregulated: PRDX6, LYAR, and PODXL2. (Sjoqvist, S, et al. 2020)
FAQs
What does the Sample Control consist of and how is it used for data analysis?
Sample controls were pooled plasma samples run in duplicate on each plate. These were used as external controls to estimate the internal and internal precision of each assay.
What is the sensitivity of the Olink Target 96 Cell Regulation Panel?
The panel offers high sensitivity, enabling the detection of low-abundance proteins with a dynamic range spanning 10 orders of magnitude. Each protein analyte has been rigorously evaluated for specificity, precision, matrix effects, and interference.
What research areas is this panel suitable for?
Cancer research: Detecting protein biomarkers associated with tumorigenesis, progression, and metastasis. Immune regulation: Studying mechanisms of immune cell activation and inflammatory responses. Cell biology: Exploring molecular mechanisms of cell proliferation, differentiation, and apoptosis.
Why Creative Proteomics
Multicenter Infectious Disease Research
Streamlined tools are available to enhance data integration efficiency in multicenter infectious disease studies.
Neurodegenerative Disease Research
Stratification tools are applied to optimize clinical trial design for neurodegenerative diseases.
Rare Disease Research Support
Algorithms are implemented to improve patient stratification accuracy in rare disease research.
Proteomic Signature Analysis
Stratification tools optimize patient grouping for clinical trials.
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
- Camargo, M. C., Song, M., Ito, H., et al. (2021). Associations of circulating mediators of inflammation, cell regulation and immune response with esophageal squamous cell carcinoma. Journal of cancer research and clinical oncology, 147(10), 2885–2892. https://doi.org/10.1007/s00432-021-03687-3
- Sjoqvist, S., Otake, K., & Hirozane, Y. (2020). Analysis of Cerebrospinal Fluid Extracellular Vesicles by Proximity Extension Assay: A Comparative Study of Four Isolation Kits. International journal of molecular sciences, 21(24), 9425. https://doi.org/10.3390/ijms21249425
- 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