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What is the Olink Target 96 Metabolism Panel
Customized panel for human
The Olink Target 96 Metabolism Panel can quantify up to 92 proteins simultaneously in 88 samples, requiring only 1 μL of sample per assay. Data is delivered in standardised protein expression (NPX) units, providing precise insights into relative protein abundance. The system features 15 policy-managed panels designed to minimise target overlap, allowing researchers the flexibility to combine multiple panels to improve proteome coverage. This modular design enables tailored experimental configurations, enhancing comprehensive and customisable protein profiles to meet different research needs.
Features of the pane
- Species: Primarily validated for human proteins; cross-reactivity with other species is not guaranteed.
- Proteins : Simultaneously analyze 92 protein biomarkers.
- Sample: Requires only 1µL of plasma, serum & more
- Readout: Data are delivered in normalized protein expression (NPX) units, offering precise insights into relative protein abundance.
- Platform: The panel is designed to run on the Olink Signature Q100 system.
List of 92 human derived biomarkers
Protein category
The Olink Target 96 Metabolism Panel includes 92 proteins categorized into eleven main groups: the enzymes (17), Cell Surface Receptors/Signaling (12), Immune-Related Proteins (8), Growth Factors/Cytokines (7), Metabolic Proteins (4), Adhesion/Extracellular Matrix (6), Neural Proteins (4), Proteases/Inhibitors(4)， Chaperones/Stress Response(5 ), Transporters/Carriers(2), and other functional proteins (23). These protein biomarkers were selected by taking into account both their dynamic range in the sample and their closeness to metabolic processes. The proteins contained in the myocardial metabolism panel were classified and summarized by multiple international bioinformatics databases (Uniprot, Human Protein Atlas, Gene Ontology and DisGeNET), including cell metabolic process, cell surface receptor signaling pathway, and cell surface receptor signaling pathway. Phosphorylation and cell adhesion regulation.
Table. List of Olink Target 96 Metabolism Panel
| Protein Category | UniProt ID | Gene | Protein Name |
| Enzymes | P23526 | AHCY | Adenosylhomocysteinase |
| P27695 | APEX1 | DNA-(apurinic or apyrimidinic site) endonuclease | |
| P35754 | GLRX | Glutaredoxin-1 | |
| P40818 | USP8 | Ubiquitin carboxyl-terminal hydrolase 8 | |
| P21964 | COMT | Catechol O-methyltransferase | |
| P19971 | TYMP | Thymidine phosphorylase | |
| P00352 | ALDH1A1 | Retinal dehydrogenase 1 | |
| P05089 | ARG1 | Arginase-1 | |
| P09104 | ENO2 | Gamma-enolase | |
| P09417 | QDPR | Dihydropteridine reductase | |
| P09467 | FBP1 | Fructose-1,6-bisphosphatase 1 | |
| P52888 | THOP1 | Thimet oligopeptidase | |
| Q8N1Q1 | CA13 | Carbonic anhydrase 13 | |
| Q16820 | MEP1B | Meprin A subunit beta | |
| Q16773 | KYAT1 | Kynurenine--oxoglutarate transaminase 1 | |
| Q9UHL4 | DPP7 | Dipeptidyl peptidase 2 | |
| Q9NPH0 | ACP6 | Lysophosphatidic acid phosphatase type 6 | |
| Cell Surface Receptors/Signaling | P26010 | ITGB7 | Integrin beta-7 |
| P29017 | CD1C | T-cell surface glycoprotein CD1c | |
| P31431 | SDC4 | Syndecan-4 | |
| Q01973 | ROR1 | Inactive tyrosine-protein kinase transmembrane receptor ROR1 | |
| O15123 | ANGPT2 | Angiopoietin-2 | |
| O75791 | GRAP2 | GRB2-related adapter protein 2 | |
| P19022 | CDH2 | Cadherin-2 | |
| Q06418 | TYRO3 | Tyrosine-protein kinase receptor TYRO3 | |
| Q8IZP9 | ADGRG2 | Adhesion G-protein coupled receptor G2 | |
| Q9UHX3 | ADGRE2 | Adhesion G protein-coupled receptor E2 | |
| Q9NY25 | CLEC5A | C-type lectin domain family 5 member A | |
| Q9BZR6 | RTN4R | Reticulon-4 receptor | |
| Immune-Related Proteins | P25815 | S100P | Protein S100-P |
| P35237 | SERPINB6 | Serpin B6 | |
| P50452 | SERPINB8 | Serpin B8 | |
| P12724 | RNASE3 | Eosinophil cationic protein | |
| A6NI73 | LILRA5 | Leukocyte immunoglobulin-like receptor subfamily A member 5 | |
| Q9Y286 | SIGLEC7 | Sialic acid-binding Ig-like lectin 7 | |
| Q9UKJ0 | PILRB | Paired immunoglobulin-like type 2 receptor beta | |
| Q96LA6 | FCRL1 | Fc receptor-like protein 1 | |
| Growth Factors/Cytokines | P22466 | GAL | Galanin peptides |
| P51858 | HDGF | Hepatoma-derived growth factor | |
| O43827 | ANGPTL7 | Angiopoietin-related protein 7 | |
| O95841 | ANGPTL1 | Angiopoietin-related protein 1 | |
| Q9UBU3 | GHRL | Appetite-regulating hormone | |
| Q9BYZ8 | REG4 | Regenerating islet-derived protein 4 | |
| Q9BQB4 | SOST | Sclerostin | |
| Metabolic Proteins | P20711 | DDC | Aromatic-L-amino-acid decarboxylase |
| O95544 | NADK | NAD kinase | |
| Q8NBS9 | TXNDC5 | Thioredoxin domain-containing protein 5 | |
| Q8NBJ7 | SUMF2 | Inactive C-alpha-formylglycine-generating enzyme 2 | |
| Adhesion/Extracellular Matrix | P98082 | DAB2 | Disabled homolog 2 |
| P13611 | VCAN | Versican core protein | |
| Q8WVQ1 | CANT1 | Soluble calcium-activated nucleotidase 1 | |
| Q6WN34 | CHRDL2 | Chordin-like protein 2 | |
| Q9HBB8 | CDHR5 | Cadherin-related family member 5 | |
| Q9H6B4 | CLMP | CXADR-like membrane protein | |
| Neural Proteins | P51693 | APLP1 | Amyloid-like protein 1 |
| O95502 | NPTXR | Neuronal pentraxin receptor | |
| Q9NQX5 | NPDC1 | Neural proliferation differentiation and control protein 1 | |
| Q9H4D0 | CLSTN2 | Calsyntenin-2 | |
| Proteases/Inhibitors | P09668 | CTSH | Pro-cathepsin H |
| P43234 | CTSO | Cathepsin O | |
| Q03403 | TFF2 | Trefoil factor 2 | |
| Q6UWV6 | ENPP7 | Ectonucleotide pyrophosphatase/phosphodiesterase family member 7 | |
| Chaperones/Stress Response | Q02790 | FKBP4 | Peptidyl-prolyl cis-trans isomerase FKBP4 |
| P46379 | BAG6 | Large proline-rich protein BAG6 | |
| P50995 | ANXA11 | Annexin A11 | |
| P09525 | ANXA4 | Annexin A4 | |
| Q15846 | CLUL1 | Clusterin-like protein 1 | |
| Transporters/Carriers | Q8NI22 | MCFD2 | Multiple coagulation factor deficiency protein 2 |
| Q86VZ4 | LRP11 | Low-density lipoprotein receptor-related protein 11 | |
| Other Functional Proteins | P40259 | CD79B | B-cell antigen receptor complex-associated protein beta chain |
| P41236 | PPP1R2 | Protein phosphatase inhibitor 2 | |
| P46109 | CRKL | Crk-like protein | |
| O00161 | SNAP23 | Synaptosomal-associated protein 23 | |
| O43240 | KLK10 | Kallikrein-10 | |
| O75356 | ENTPD5 | Ectonucleoside triphosphate diphosphohydrolase 5 | |
| P01222 | TSHB | Thyrotropin subunit beta | |
| NT-proBNP | NT-proBNP | N-terminal prohormone of brain natriuretic peptide | |
| P16083 | NQO2 | Ribosyldihydronicotinamide dehydrogenase [quinone] | |
| Q8WTU2 | SSC4D | Scavenger receptor cysteine-rich domain-containing group B protein | |
| Q76M96 | CCDC80 | Coiled-coil domain-containing protein 80 | |
| Q15155 | NOMO1 | Nodal modulator 1 | |
| Q13275 | SEMA3F | Semaphorin-3F | |
| Q8WX77 | IGFBPL1 | Insulin-like growth factor-binding protein-like 1 | |
| Q04900 | CD164 | Sialomucin core protein 24 | |
| Q92520 | FAM3C | Protein FAM3C | |
| Q96JA1 | LRIG1 | Leucine-rich repeats and immunoglobulin-like domains protein 1 | |
| Q9NWQ8 | PAG1 | Phosphoprotein associated with glycosphingolipid-enriched microdomains 1 | |
| Q9NR28 | DIABLO | Diablo homolog | |
| Q92692 | NECTIN2 | Nectin-2 | |
| Q9GZM7 | TINAGL1 | Tubulointerstitial nephritis antigen-like | |
| Q9Y5K6 | CD2AP | CD2-associated protein | |
| Q641Q3 | METRNL | Meteorin-like protein |
Protein Functions
Biological process
Primarily associated with matabolic, carsiovascular, cancer, schizophrenia, and metabolic signaling pathways.
Disease area
Primarily associated with metabolism, immune systerm diseases, metabolic pathway,
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
Proteome profiling identifies circulating biomarkers associated with hepatic steatosis in subjects with Prader-Willi syndrome
Journal: Front. Endocrinol
Year: 2023
- Background
- Results
Prader-Willi syndrome (PWS) is a rare genetic disorder caused by the loss of expression of paternal genes on chromosome 15q11.2-q13. It is marked by distinct physical, endocrine, and metabolic features, often leading to severe obesity. Although liver steatosis is less common in PWS compared to non-syndromic obesity, its detection remains challenging. Reliable biomarkers are essential for early diagnosis and management, particularly given the complex metabolic profile and heightened cardiovascular risks associated with PWS.
The circulating proteome was analyzed using Olink metabolism and cardiometabolic panels, each targeting 92 human protein biomarkers (Table S1). Two samples were excluded due to Olink internal quality control issues. Leukocyte Immunoglobulin Like Receptor A5 (LILRA5) and CXADR Like Membrane Protein (CLMP) from the metabolic panel showed sex-specific differential expression (p=0.046 and p=0.049, respectively). Both proteins were downregulated in males (n=15) compared to females (n=14), with median expression levels of 5.28 vs. 6.1 for LILRA5 and 2.4 vs. 2.8 for CLMP (Figure 1).
Figure 1. Sex-specific variations in
circulating proteomic biomarker profiles. (Pascut, D, et al. 2023)
FAQs
Can I develop a Focus panel for proteins identified using a technology other than Olink?
Olink data is essential for Focus panel development. Our Custom Development Team utilizes this data during the theoretical feasibility phase to assess the expected performance of the panel before initiating the project.
How is %CV calculated for Olink Target 96?
The %CV (Coefficient of Variation) is calculated for each analyte using Olink NPX Signature software, based on linear NPX values (2^NPX). The calculations are as follows: Intra CV (per plate): Standard deviation of control samples on a single plate divided by the average of those control samples. Inter CV (between plates): Standard deviation of control samples across all plates divided by the average of those control samples. Olink NPX Signature reports the average intra CV and inter CV for all analytes across all plates.
This process ensures robust quality control and reliable performance evaluation for Olink Target 96 assays.
Why Creative Proteomics
Cutting-Edge Data Interpretation
Utilizes advanced algorithms and computational tools to transform complex Olink data into clear, actionable insights for groundbreaking discoveries.
Versatile Research Solutions
Supports a wide range of scientific applications, from biomarker discovery to disease mechanism studies, driving innovation across multiple fields.
Streamlined and Reliable Processes
Combines state-of-the-art technology with rigorous quality control to deliver fast, accurate, and reproducible results for efficient research workflows.
Dedicated Research Partnership
Offers personalized support, from experimental planning to data analysis, ensuring researchers achieve their goals with confidence and clarity.
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
- Pascut, D., Giraudi, P. J., Banfi, C., et al. (2023). Proteome profiling identifies circulating biomarkers associated with hepatic steatosis in subjects with Prader-Willi syndrome. Frontiers in endocrinology, 14, 1254778. https://doi.org/10.3389/fendo.2023.1254778
- Mesleh, A., Ehtewish, H., de la Fuente, A. et al. (2023). Blood Proteomics Analysis Reveals Potential Biomarkers and Convergent Dysregulated Pathways in Autism Spectrum Disorder: A Pilot Study. International journal of molecular sciences, 24(8), 7443. https://doi.org/10.3390/ijms24087443
- 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