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- Panel Features
- Panels List
- Workflow
- Demo
- Case
- Why Creative Proteomics
- Sample Requirements
What is the Olink Target 96 Neuro Exploratory Panel
The Olink Target 96 Neuro Exploratory Panel is a high-throughput proteomics detection tool based on Olink's PEA, specifically designed for research in the field of neuroscience. This panel is capable of simultaneously detecting 92 protein biomarkers related to the nervous system, requiring only 1μL of biological sample (such as plasma, serum, or cerebrospinal fluid). It provides efficient and precise proteomic analysis for studies on axon development, neurogenesis, and synaptic assembly.
Features of the panel
- High Sensitivity: The detection sensitivity is extremely high, capable of detecting protein concentrations as low as femtograms (fg), making it suitable for the analysis of low-abundance proteins.
- Minimal Sample Requirement: Only 1μL of biological sample is needed to complete the detection.
- Broad Application Scenarios: It demonstrates excellent detection performance in body fluids such as cerebrospinal fluid and plasma, providing a powerful tool for the early diagnosis and treatment of neurological diseases.
- Data Quality and Reproducibility: Based on Olink's PEA technology, the detection results exhibit high reproducibility and low coefficient of variation (CV), making it suitable for large-scale clinical sample studies and high-throughput screening.
List of 92 Neuro Exploratory Proteins
Protein category
The panel comprises a comprehensive spectrum of proteins, including cell adhesion and receptor proteins, enzymes, signal transduction proteins, cytoskeletal and structural proteins, immune and inflammatory proteins, metabolism-related proteins, transcription and translation regulation proteins and other functional proteins. These proteins are involved in a multitude of biological processes, such as cell adhesion and interaction, enzymatic activities, signal transduction, cytoskeletal organization and structure maintenance, immune response and inflammation, metabolic regulation, gene expression regulation, diverse cellular functions, and other unspecified roles.
Table. List of Olink Target 96 Neuro Exploratory Panel
| Protein Category | UniProt ID | Gene | Protein Name |
| Cell Adhesion & Receptor Proteins | O60242 | ADGRB3 | Adhesion G protein-coupled receptor B3 |
| P40198 | CEACAM3 | Carcinoembryonic antigen-related cell adhesion molecule 3 | |
| P55291 | CDH15 | Cadherin-15 | |
| Q12864 | CDH17 | Cadherin-17 | |
| P32926 | DSG3 | Desmoglein-3 | |
| Q6UXK2 | ISLR2 | Immunoglobulin superfamily containing leucine-rich repeat protein 2 | |
| P48357 | LEPR | Leptin receptor | |
| P07306 | ASGR1 | Asialoglycoprotein receptor 1 | |
| P24071 | FCAR | Immunoglobulin alpha Fc receptor | |
| P20138 | CD33 | Myeloid cell surface antigen CD33 | |
| P21802 | FGFR2 | Fibroblast growth factor receptor 2 | |
| Q5JZY3 | EPHA10 | Ephrin type-A receptor 10 | |
| P43628 | KIR2DL3 | Killer cell immunoglobulin-like receptor 2DL3 | |
| Q6UWL6 | KIRREL2 | Kin of IRRE-like protein 2 | |
| Q6UX27 | VSTM1 | V-set and transmembrane domain-containing protein 1 | |
| P08962 | CD63 | CD63 antigen | |
| Q8IX05 | CD302 | CD302 antigen | |
| Q10589 | BST2 | Bone marrow stromal antigen 2 | |
| Enzymes | P29218 | IMPA1 | Inositol monophosphatase 1 |
| P36269 | GGT5 | Glutathione hydrolase 5 proenzyme | |
| P42892 | ECE1 | Endothelin-converting enzyme 1 | |
| P51452 | DUSP3 | Dual specificity protein phosphatase 3 | |
| Q03393 | PTS | 6-pyruvoyl tetrahydrobiopterin synthase | |
| P19801 | AOC1 | Amiloride-sensitive amine oxidase [copper-containing] | |
| Q8TCT1 | PHOSPHO1 | Phosphoethanolamine/phosphocholine phosphatase | |
| Q15126 | PMVK | Phosphomevalonate kinase | |
| Q9H477 | RBKS | Ribokinase | |
| Q16864 | ATP6V1F | V-type proton ATPase subunit F | |
| P16444 | DPEP1 | Dipeptidase 1 | |
| Q9H4A9 | DPEP2 | Dipeptidase 2 | |
| P18031 | PTPN1 | Tyrosine-protein phosphatase non-receptor type 1 | |
| Q9H0C8 | ILKAP | Integrin-linked kinase-associated serine/threonine phosphatase 2C | |
| Q9BYC5 | FUT8 | Alpha-(1,6)-fucosyltransferase | |
| Q9BW30 | TPPP3 | Tubulin polymerization-promoting protein family member 3 | |
| Q99426 | TBCB | Tubulin-folding cofactor B | |
| Signal Transduction Proteins | P52943 | CRIP2 | Cysteine-rich protein 2 |
| P78560 | CRADD | Death domain-containing protein CRADD | |
| P58417 | NXPH1 | Neurexophilin-1 | |
| P63098 | PPP3R1 | Calcineurin subunit B type 1 | |
| P23443 | RPS6KB1 | Ribosomal protein S6 kinase beta-1 | |
| Q96B36 | AKT1S1 | Proline-rich AKT1 substrate 1 | |
| Q9Y5P4 | CERT1 | Ceramide transfer protein | |
| Q9Y2V2 | CARHSP1 | Calcium-regulated heat-stable protein 1 | |
| Q9Y6D9 | MAD1L1 | Mitotic spindle assembly checkpoint protein MAD1 | |
| Q969M7 | UBE2F | NEDD8-conjugating enzyme UBE2F | |
| Q96EP0 | RNF31 | E3 ubiquitin-protein ligase RNF31 | |
| O00308 | WWP2 | NEDD4-like E3 ubiquitin-protein ligase WWP2 | |
| Q13451 | FKBP5 | Peptidyl-prolyl cis-trans isomerase FKBP5 | |
| Q9Y680 | FKBP7 | Peptidyl-prolyl cis-trans isomerase FKBP7 | |
| Cytoskeletal & Structural Proteins | P07196 | NEFL | Neurofilament light polypeptide |
| O94985 | CLSTN1 | Calsyntenin-1 | |
| Q9UJ72 | ANXA10 | Annexin A10 | |
| O76070 | SNCG | Gamma-synuclein | |
| Immune & Inflammatory Proteins | P40933 | IL15 | Interleukin-15 |
| P26951 | IL3RA | Interleukin-3 receptor subunit alpha | |
| P24001 | IL32 | Interleukin-32 | |
| P13284 | IFI30 | Gamma-interferon-inducible lysosomal thiol reductase | |
| Q8IU54 | IFNL1 | Interferon lambda-1 | |
| Q9Y4X3 | CCL27 | C-C motif chemokine 27 | |
| Q96RJ3 | TNFRSF13C | Tumor necrosis factor receptor superfamily member 13C | |
| O14944 | EREG | Proepiregulin | |
| P13385 | TDGF1 | Teratocarcinoma-derived growth factor 1 | |
| Q16619 | CTF1 | Cardiotrophin-1 | |
| O15263 | DEFB4A_DEFB4B | Beta-defensin 4A | |
| Metabolism-Related Proteins | P49789 | FHIT | Bis(5'-adenosyl)-triphosphatase |
| P09211 | GSTP1 | Glutathione S-transferase P | |
| P32456 | GBP2 | Guanylate-binding protein 2 | |
| P30519 | HMOX2 | Heme oxygenase 2 | |
| P41227 | NAA10 | N-alpha-acetyltransferase 10 | |
| P41208 | CETN2 | Centrin-2 | |
| P06748 | NPM1 | Nucleophosmin | |
| P14625 | HSP90B1 | Endoplasmin | |
| Q14956 | GPNMB | Transmembrane glycoprotein NMB | |
| Q92597 | NDRG1 | Protein NDRG1 | |
| Q9NS15 | LTBP3 | Latent-transforming growth factor beta-binding protein 3 | |
| Q9H4F8 | SMOC1 | SPARC-related modular calcium-binding protein 1 | |
| Transcription & Translation Regulation Proteins | P23588 | EIF4B | Eukaryotic translation initiation factor 4B |
| Q9UKS7 | IKZF2 | Zinc finger protein Helios | |
| Q9UK53 | ING1 | Inhibitor of growth protein 1 | |
| Q9BTE6 | AARSD1 | Alanyl-tRNA editing protein Aarsd1 | |
| Other Functional Proteins | P37108 | SRP14 | Signal recognition particle 14 kDa protein |
| Q06323 | PSME1 | Proteasome activator complex subunit 1 | |
| O15496 | PLA2G10 | Group 10 secretory phospholipase A2 | |
| P11464 | PSG1 | Pregnancy-specific beta-1-glycoprotein 1 | |
| Q8N474 | SFRP1 | Secreted frizzled-related protein 1 | |
| Q86Z14 | KLB | Beta-klotho | |
| Q13444 | ADAM15 | Disintegrin and metalloproteinase domain-containing protein 15 | |
| Q96EK5 | KIFBP | KIF-binding protein | |
| Q96IU4 | ABHD14B | Protein ABHD14B | |
| Q9NRG1 | PRTFDC1 | Phosphoribosyltransferase domain-containing protein 1 | |
| Q9UHV9 | PFDN2 | Prefoldin subunit 2 | |
| P09466 | PAEP | Glycodelin |
Protein Functions
Biological process
92 proteins are related to biological processes, such as cell process regulation, stimulus response, signal transduction, cell communication, cell metabolism, and immune system processes.
Disease area
92 proteins are widely used in cancer, neurological, cardiovascular, infection, lung, digestive and metabolic diseases.
Workflow of Olink Target 96 Neurology 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
Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age
Journal: Nature Communications
Year: 2020
- Background
- Results
With the intensification of population aging in developed countries, understanding the biological correlates of cognitive ability differences has become particularly important. Age-related changes in cognitive abilities are thought to be partially driven by changes in brain structure, such as brain atrophy, gray matter and white matter volume, white matter microstructure, and markers of white matter hyperintensities (WMH) and small vessel disease (SVD). Moreover, cognitive abilities are highly heritable and polygenic, but directly identifying relevant biological pathways from genetic variants is challenging. Therefore, directly measuring protein levels can increase the ability to identify biological pathways associated with cognitive function in the elderly. This study aims to investigate the associations between plasma levels of 90 neurologically relevant protein biomarkers and cognitive abilities in the elderly, and to explore whether these associations are mediated by brain volume.
The study involved three large population samples, including the Lothian Birth Cohort 1936 (LBC1936, N = 798), the Lothian Birth Cohort 1921 (LBC1921, N = 165), and the INTERVAL BioResource (N = 4451). The results of the study showed an association between proteins and cognitive abilities: in LBC1936, 22 proteins were significantly associated with general fluid cognitive ability (β values ranged from -0.11 to -0.17, p < 0.0029). Lower levels of these proteins were associated with higher cognitive abilities. In the INTERVAL BioResource, the effect sizes of these proteins were smaller, but the direction was consistent. In LBC1921, 8 proteins were significantly associated with cognitive abilities, with effect sizes similar to those in LBC1936.
Principal component analysis on the 90 neurology-related proteins. (Harris, S.E., et al. 2020).
Why Creative Proteomics
Expert Assistance
Our team provides personalized experimental planning and ongoing expert guidance, enabling researchers to fully leverage the Olink platform.
Tailored Approaches
We develop customized experimental strategies designed to meet the unique requirements of your research.
Reliable Data
Through stringent quality control protocols, we guarantee consistent and reproducible results.
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
- Harris, S.E., Cox, S.R., Bell, S. et al. Neurology-related protein biomarkers are associated with cognitive ability and brain volume in older age. Nat Commun 11, 800 (2020). https://doi.org/10.1038/s41467-019-14161-7