Submit Your Request Now
- Panel Features
- Panels List
- Workflow
- Why Creative Proteomics
- Demo
- Sample Requirements
- FAQ
What is the Olink Flex Customized UKB Type 2 Diabetes Panel
Customized panel for human
The Olink Flex Customized UKB Type 2 Diabetes Panel uses a near-extended analysis technique to simultaneously measure the top 21 biomarkers relevant to type 2 diabetes research, including established markers and exploratory targets, using only 1 μl of plasma or serum per sample, and processing 40 samples per analysis run. This state-of-the-art platform has superior sensitivity, a limit of detection of less than 1 per milliliter, and excellent reproducibility with less than 5% coefficient of variation normalized by normalizing protein expression data. The panel features a flexible design that provides researchers with customizable combinations of protein markers, allowing them to easily select 15-21 from a library of 208 fully validated inflammation-related proteins, supporting comprehensive investigations into type 2 diabetes.
Features of the pane
- Species: Specialized for human biological investigations.
- Design: Select and combine using the Olink Insight online platform;
- Proteins: the top 21 biomarkers relevant to type 2 diabetes analysis.
- Sample: 1 µL plasma/serumt.
- Readout: NPX-normalized quantification.
- Platform: Olink Signature Q100 platform exclusive.
List of 21 Human Derived Biomarkers
Protein category
The Olink Flex Customized UKB Type 2 Diabetes Panel measures 21 carefully selected protein biomarkers organized into many functional categories: Metabolic Enzymes, Membrane Receptors, Inflammatory Cytokines/Chemokines, Extracellular Matrix Proteins, Cell Signaling Molecules, Immune Response Regulators, Hormones/Binding Proteins, and Additional Metabolic Regulators. (see Table. List of Olink Flex Customized UKB Type 2 Diabetes Panel). These targets include human proteins implicated in key pathophysiological mechanisms relevant to metabolic research, covering processes such as insulin signaling, glucose homeostasis, lipid metabolism, cellular stress response, and vascular function. Additionally, the panel incorporates scientifically validated biomarkers associated with metabolic syndrome, β-cell function, insulin resistance pathways, and related cardiometabolic conditions through comprehensive literature curation, providing researchers with a powerful tool for large-scale proteomic investigations in diabetes-related research.
Table. List of Olink Flex Customized UKB Type 2 Diabetes Panel
| UniProt ID | Gene | Protein name | Customized Olink Flex panel |
| P21583 | KITLG | Kit ligand | UKB Type 2 Diabetes |
| Q9NSA1 | FGF21 | Fibroblast growth factor 21 | UKB Type 2 Diabetes |
| Q9UBU3 | GHRL | Appetite-regulating hormone | UKB Type 2 Diabetes |
| P10082 | PYY | Peptide YY | UKB Type 2 Diabetes |
| O14788 | TNFSF11 | Tumor necrosis factor ligand superfamily member 11 | UKB Type 2 Diabetes |
| Q9UMR7 | CLEC4A | C-type lectin domain family 4 member A | UKB Type 2 Diabetes |
| P50591 | TNFSF10 | Tumor necrosis factor ligand superfamily member 10 | UKB Type 2 Diabetes |
| O43508 | TNFSF12 | Tumor necrosis factor ligand superfamily member 12 | UKB Type 2 Diabetes |
| P48023 | FASLG | Tumor necrosis factor ligand superfamily member 6 | UKB Type 2 Diabetes |
| P28845 | HSD11B1 | 11-beta-hydroxysteroid dehydrogenase 1 | UKB Type 2 Diabetes |
| Q15399 | TLR1 | Toll-like receptor 1 | UKB Type 2 Diabetes |
| P62760 | VSNL1 | Visinin-like protein 1 | UKB Type 2 Diabetes |
| Q16719 | KYNU | Kynureninase | UKB Type 2 Diabetes |
| P42702 | LIFR | Leukemia inhibitory factor receptor | UKB Type 2 Diabetes |
| P39905 | GDNF | Glial cell line-derived neurotrophic factor | UKB Type 2 Diabetes |
| P13725 | OSM | Oncostatin-M | UKB Type 2 Diabetes |
| P01275 | GCG | Pro-glucagon | UKB Type 2 Diabetes |
| P51671 | CCL11 | Eotaxin | UKB Type 2 Diabetes |
| P12544 | GZMA | Granzyme A | UKB Type 2 Diabetes |
| Q8N608 | DPP10 | Inactive dipeptidyl peptidase 10 | UKB Type 2 Diabetes |
| O15455 | TLR3 | Toll-like receptor 3 | UKB Type 2 Diabetes |
Protein Functions
Biological process
These molecular targets collectively enable comprehensive investigation of interconnected biological systems including energy metabolism, immune-metabolic crosstalk, and cellular stress responses in diabetes-related research.
Disease area
Mainly associated with multiple metabolic and inflammatory disease areas, with particular relevance to investigations of glucose metabolism dysregulation, pancreatic β-cell function, adipose tissue biology, and insulin signaling pathways.
The Application of Olink Flex Customized UKB Type 2 Diabetes Panel
The Olink Custom UKB Type 2 Diabetes Panel can simultaneously quantify 21 biomarkers of proteins biologically relevant to type 2 diabetes, providing researchers with a powerful tool to:
- Investigation of molecular mechanisms underlying pancreatic β-cell dysfunction and insulin signaling pathways in metabolic disorders;
- Identification of protein biomarkers associated with disease progression and metabolic complications in type 2 diabetes research cohorts;
- Characterization of inflammatory signatures linking immune-metabolic crosstalk to tissue-specific metabolic dysregulation.
Workflow of Olink Proteomics
Why Creativ Proteomics
Diabetes-Specific Analytical Frameworks
Preconfigured bioinformatics pipelines for insulin resistance, β-cell function, and metabolic syndrome research with 55 validated protein ratios.
Enhanced Data Quality
Incorporates 14-stage QC protocols ensuring <5% CV for 95% of diabetes-relevant biomarkers, critical for reliable population-scale analyses.
Flexible Panel Design
30 customizable assay slots integrated with 338 fixed metabolic targets for study-specific biomarker combinations.
Validated Biomarker Combinations
Provides multiple pre-verified biomarker ratios specifically relevant to metabolic dysfunction and insulin resistance pathways.
Demo Results of Olink Data
Figure 1: Associations of 1-SD increases across 2,941 circulating proteins with incident diabetes in observational data. (Yao, P., et al. 2024)
Figure 2: Predictive value of conventional risk factors, random blood glucose (RPG), and 33 proteins, alone or in combination, for T2D. (Yao, P., et al. 2024)
Sample Requirements
| Sample Type | Recommended Sample Size | Sample Quality | Pre-treatment and Storage | Sample Transport |
| Plasma/Serum/Body Fluid | Minimum required: 40 µL/sample | Protein concentration: 0.5mg/ml ~ 1mg/ml | Aliquot using sterile containers, preserve at -80°C | Maintain -80°C during transit with dry ice for foil-sealed samples |
| Tissue | ||||
| Cells | ||||
| Exosomes | ||||
| Other |
FAQs
What does it mean if there is a QC warning on the sample? For Olink Flex products.
If the incubation control 2 or the assay control (corresponding to a specific sample) deviates more than the predetermined value (/- 0.3) from the median of all samples on the plate, the sample will receive a QC warning (failed quality control).
For example, a QC warning may occur due to operator error, or due to the nature/quality of a particular sample. Samples with QC warnings are always re-run in the analysis service due to operator error. Samples that receive a QC warning due to sample quality/characteristics are included in the dataset but should be handled with care in statistical analysis.
If more than 1/6 of the samples per run get a QC warning, it is likely that the entire run is unreliable and should be re-run.
What does Olink Flex's sample control consist of and how is it used in data analysis?
For Flex, the sample control consists of a pooled human plasma sample with recombinant antigens of some proteins added to ensure that all 45 proteins are detected. For Target 48 mouse cytokines and Target 48 immune monitoring, we use a mixture of recombinant proteins for all biomarkers. These products are plasma-free. Control samples on each plate are in triplicate. Sample control is used to assess potential differences between runs and plates, as well as quality control of data quantification in pg/mL. Verification data for all panels is available on the Olink website.
What makes up the negative control of the Olink Flex and how is it used in data analysis?
The negative control is included in triplicate on each plate, including buffer runs as normal samples. These are used to monitor any background noise generated when the DNA tag is in close proximity without prior binding to the appropriate protein. The negative control sets the background level for each protein assay and is used to calculate the limit of detection (LOD).
Reference
- Yao, P., Iona, A., Pozarickij, A., et al. (2024). Proteomic Analyses in Diverse Populations Improved Risk Prediction and Identified New Drug Targets for Type 2 Diabetes. Diabetes care, 47(6), 1012–1019. https://doi.org/10.2337/dc23-2145