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- Panel Features
- Panels List
- Workflow
- Demo
- Case
- Why Creative Proteomics
- Sample Requirements
What is the Olink Target 96 Neurology Panel
The Olink Target 96 Neurology Panel is a high-performance tool designed for comprehensive analysis of neurological diseases and biomarkers. It enables precise detection of 92 biomarkers related to the nervous system using a tiny sample—only 1μL of biological material is needed. The panel is capable of analyzing up to 96 samples simultaneously, making it ideal for high-throughput neurobiological research.
Features of the panel
- Comprehensive Biomarker Detection: The panel analyzes 92 biomarkers related to neurological diseases, covering areas such as neurodevelopment, axon guidance, synaptic function, and conditions like Alzheimer's disease.
- High-Throughput Analysis: It requires just 1μL of biological sample and can analyze up to 96 samples simultaneously, making it ideal for large-scale studies.
- Expert-Selected Biomarkers: The biomarkers included in the panel are carefully selected by experts in the field, ensuring relevance to neurobiological research.
- Rigorous Quality Control: Each low-abundance protein analyte is thoroughly evaluated for sample material compatibility, specificity, precision, sensitivity, dynamic range, matrix effects, and interference to ensure reliable and accurate results.
List of 92 Neurology Proteins
Protein category
The panel encompasses a diverse array of proteins, such as cell adhesion molecules, immune-related proteins, growth factors and receptors, enzymes, extracellular matrix proteins, lectins and glycoproteins, other proteins, and signaling pathway proteins. These proteins participate in a wide range of biological processes, including cell adhesion and interaction, immune response and regulation, growth and differentiation, enzymatic reactions, extracellular matrix organization, carbohydrate recognition and binding, various other cellular functions, and signal transduction.
Table. List of Olink Target 96 Neurology Panel
| Protein Category | UniProt ID | Gene | Protein Name |
| Cell Adhesion Molecules | O94779 | CNTN5 | Contactin-5 |
| Q9P0K1 | ADAM22 | Disintegrin and metalloproteinase domain-containing protein 22 | |
| O75077 | ADAM23 | Disintegrin and metalloproteinase domain-containing protein 23 | |
| P22223 | CDH3 | Cadherin-3 | |
| P55285 | CDH6 | Cadherin-6 | |
| Q8N126 | CADM3 | Cell adhesion molecule 3 | |
| Q92823 | NRCAM | Neuronal cell adhesion molecule | |
| Q2VWP7 | PRTG | Protogenin | |
| Q9HCK4 | ROBO2 | Roundabout homolog 2 | |
| O95727 | CRTAM | Cytotoxic and regulatory T-cell molecule | |
| O95185 | UNC5C | Netrin receptor UNC5C | |
| O43155 | FLRT2 | Leucine-rich repeat transmembrane protein FLRT2 | |
| P57087 | JAM2 | Junctional adhesion molecule B | |
| O43561 | LAT | Linker for activation of T-cells family member 1 | |
| Immune-related Proteins | Q9BZZ2 | SIGLEC1 | Sialoadhesin |
| Q9Y336 | SIGLEC9 | Sialic acid-binding Ig-like lectin 9 | |
| Q08708 | CD300C | CMRF35-like molecule 6 | |
| Q8TDQ1 | CD300LF | CMRF35-like molecule 1 | |
| P41217 | CD200 | OX-2 membrane glycoprotein | |
| Q8TD46 | CD200R1 | Cell surface glycoprotein CD200 receptor 1 | |
| Q6ISS4 | LAIR2 | Leukocyte-associated immunoglobulin-like receptor 2 | |
| Q96LA5 | FCRL2 | Fc receptor-like protein 2 | |
| Q9BZM5 | ULBP2 | UL16-binding protein 2 | |
| Q01344 | IL5RA | Interleukin-5 receptor subunit alpha | |
| P29459_P29460 | IL12A_IL12B | Interleukin-12 | |
| P15509 | CSF2RA | Granulocyte-macrophage colony-stimulating factor receptor subunit alpha | |
| P09919 | CSF3 | Granulocyte colony-stimulating factor | |
| Q9NP84 | TNFRSF12A | Tumor necrosis factor receptor superfamily member 12A | |
| O75509 | TNFRSF21 | Tumor necrosis factor receptor superfamily member 21 | |
| Q9HAV5 | EDA2R | Tumor necrosis factor receptor superfamily member 27 | |
| Growth Factors and Receptors | P01138 | NGF | Beta-nerve growth factor |
| P39905 | GDNF | Glial cell line-derived neurotrophic factor | |
| P12644 | BMP4 | Bone morphogenetic protein 4 | |
| O14793 | MSTN | Growth/differentiation factor 8 | |
| Q16620 | NTRK2 | BDNF/NT-3 growth factors receptor | |
| Q16288 | NTRK3 | NT-3 growth factor receptor | |
| P16234 | PDGFRA | Platelet-derived growth factor receptor alpha | |
| P37023 | ACVRL1 | Serine/threonine-protein kinase receptor R3 | |
| P56159 | GFRA1 | GDNF family receptor alpha-1 | |
| O60609 | GFRA3 | GDNF family receptor alpha-3 | |
| O15197 | EPHB6 | Ephrin type-B receptor 6 | |
| P52798 | EFNA4 | Ephrin-A4 | |
| Q2MKA7 | RSPO1 | R-spondin-1 | |
| P55145 | MANF | Mesencephalic astrocyte-derived neurotrophic factor | |
| Enzymes | Q16775 | HAGH | Hydroxyacylglutathione hydrolase |
| P08473 | MME | Neprilysin | |
| Q9H3S3 | TMPRSS5 | Transmembrane protease serine 5 | |
| P48052 | CPA2 | Carboxypeptidase A2 | |
| P14384 | CPM | Carboxypeptidase M | |
| P17405 | SMPD1 | Sphingomyelin phosphodiesterase | |
| P53634 | CTSC | Dipeptidyl peptidase 1 | |
| P25774 | CTSS | Cathepsin S | |
| Q16719 | KYNU | Kynureninase | |
| Q02083 | NAAA | N-acylethanolamine-hydrolyzing acid amidase | |
| Q9NR71 | ASAH2 | Neutral ceramidase | |
| Q9HAN9 | NMNAT1 | Nicotinamide/nicotinic acid mononucleotide adenylyltransferase 1 | |
| Extracellular Matrix Proteins | O15232 | MATN3 | Matrilin-3 |
| Q96GW7 | BCAN | Brevican core protein | |
| O14594 | NCAN | Neurocan core protein | |
| Q92752 | TNR | Tenascin-R | |
| Q08629 | SPOCK1 | Testican-1 | |
| Q9H3U7 | SMOC2 | SPARC-related modular calcium-binding protein 2 | |
| Q92765 | FRZB | Secreted frizzled-related protein 3 | |
| Q2TAL6 | VWC2 | Brorin | |
| Q6NW40 | RGMB | RGM domain family member B | |
| Q96B86 | RGMA | Repulsive guidance molecule A | |
| Q8NBI3 | DRAXIN | Draxin | |
| Q9UBT3 | DKK4 | Dickkopf-related protein 4 | |
| Lectins and Glycoproteins | Q9P126 | CLEC1B | C-type lectin domain family 1 member B |
| Q8IUN9 | CLEC10A | C-type lectin domain family 10 member A | |
| O00214 | LGALS8 | Galectin-8 | |
| P04216 | THY1 | Thy-1 membrane glycoprotein | |
| Q6ZMJ2 | SCARA5 | Scavenger receptor class A member 5 | |
| Q14108 | SCARB2 | Lysosome membrane protein 2 | |
| Q96GP6 | SCARF2 | Scavenger receptor class F member 2 | |
| P21757 | MSR1 | Macrophage scavenger receptor types I and II | |
| Q6UX15 | LAYN | Layilin | |
| P78333 | GPC5 | Glypican-5 | |
| Other Proteins | Q9BS40 | LXN | Latexin |
| P15311 | EZR | Ezrin | |
| P41271 | NBL1 | Neuroblastoma suppressor of tumorigenicity 1 | |
| P15151 | PVR | Poliovirus receptor | |
| P12544 | GZMA | Granzyme A | |
| Q08345 | DDR1 | Epithelial discoidin domain-containing receptor 1 | |
| Q9ULL4 | PLXNB3 | Plexin-B3 | |
| O43157 | PLXNB1 | Plexin-B1 | |
| P30533 | LRPAP1 | Alpha-2-macroglobulin receptor-associated protein | |
| O60462 | NRP2 | Neuropilin-2 | |
| Q8NFP4 | MDGA1 | MAM domain-containing glycosylphosphatidylinositol anchor protein 1 | |
| P10636 | MAPT | Microtubule-associated protein tau | |
| Signaling Pathway Proteins | Q96NZ8 | WFIKKN1 | WAP |
| P28907 | CD38 | ADP-ribosyl cyclase/cyclic ADP-ribose hydrolase 1 |
Protein Functions
Biological process
The 92 proteins were related to signal transduction, cell metabolism, cell differentiation, cell adhesion, nerve and axon development.
Disease area
92 kinds of proteins are widely used in nerve, tumor, kidney, inflammation, metabolism, infection, skin, digestion, ophthalmology and other 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
Author Correction: Individual variations in cardiovascular-disease-related protein levels are driven by genetics and gut microbiome
Journal: Diabetes/metabolism research and reviews
Year :2024
- Background
- Results
Distal Sensorimotor Polyneuropathy (DSPN) is a common complication closely associated with metabolic disorders such as diabetes, obesity, and dyslipidemia. Previous biomarker studies on DSPN have primarily focused on subclinical inflammation and oxidative stress, as these factors are believed to play a role in the disease's pathogenesis, and have examined their associations with prevalent and incident DSPN. Although inflammation-related biomarker panels have improved the prediction of DSPN in population-based cohorts, their clinical utility is limited due to a lack of specificity for DSPN, as they are also associated with other comorbidities of diabetes. This study aims to explore the associations between multiple neurological biomarkers and DSPN.
The data were sourced from the KORA F4/FF4 study, which included a total of 1,032 participants aged 61-82 years, among whom 177 had DSPN at baseline. The prevalence of type 2 diabetes was 20%. The prospective analysis was based on 505 participants who did not have DSPN at baseline, of whom 125 developed DSPN during the follow-up period (6.5 years). The Olink Target 96 Neurology Assay was used to measure 92 neurological biomarkers.
The association between neurological biomarkers and the prevalence of DSPN in the entire study cohort revealed that CTSC (RR [95% CI] 1.23 [1.08, 1.39], p B-H = 0.044) and PDGFRα (platelet-derived growth factor receptor-alpha; RR [95% CI] 1.21 [1.08, 1.35], p B-H = 0.044) were significantly associated with prevalent DSPN.
Figure 1. Associations between neurological biomarkers
and prevalent DSPN. (Herder, C., et al. 2024)
Why Creative Proteomics
Expert Support
We offer customized experimental designs and continuous professional support, ensuring that researchers can make the most of the Olink platform.
Customized Solutions
Our experts design tailored experimental plans to fit your specific research needs.
High-Quality Data
We ensure reliable and reproducible results through rigorous quality control measures.
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
- Herder, C., Thorand, B., Strom, A., et al. (2024). Associations between multiple neurological biomarkers and distal sensorimotor polyneuropathy: KORA F4/FF4 study. Diabetes/metabolism research and reviews, 40(5), e3807. https://doi.org/10.1002/dmrr.3807