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What is the Olink Explore HT Panel
Customized panel for human
The Olink Explore HT Panel employs Proximity Extension Assay technology to simultaneously measure more than 5400 protein biomarkers relevant to research. It is widely used in the field of disease treatment to deepen the comprehensive understanding of the molecular signaling pathway level in the process of disease occurrence, progression and outcome. It using only 2 microliter of plasma or serum per sample while processing 2000+ samples per week analytical run. This advanced platform delivers exceptional sensitivity (detection limits 1 femtogram/mL) and reproducibility (coefficient of variation <5%) through Normalized Protein Expression data standardization.
Features of the pane
- Species: Exclusively human applications.
- Proteins: more than 5400 protein analysis.
- Sample: 2 µL plasma, serumt and more.
- Readout: NPX-normalized quantification.
- Platform: Olink Signature Q100 platform mandatory
List of 5400+Human Derived Biomarkers
Protein category
The Olink Explore HT Panel analyzes more than 5400 protein biomarkers includes into variety of functional classes: Enzymes, Receptors, Cytokines/Chemokines, Structural/Adhesion Molecules, Signaling Proteins, Immune Regulators, Growth Factors/Binding Proteins, and Additional Functional Proteins. (see Table. List of Olink Explore HT Panel). These targets encompass human proteins linked to the key pathogenesis of a variety of diseases includes angiogenesis, intercellular communication, metabolic regulation, programmed cell death and proliferation/differentiation pathways. To deepen the comprehensive understanding of the molecular signaling pathway in the process of disease occurrence, progression and outcome.
Protein Functions
Biological process
Primarily associated with immune-related diseases, signaling pathways, and metabolic regulation
Disease area
Key connections to metabolic, cardiovascular, neoplastic, immune, and neurological systems.
The Application of Olink Explore HT Panel.
The Olink Explore HT Panel enables simultaneous quantification of 5,400+ protein biomarkers across 2000+ samples per run, providing researchers with a scalable tool for:
- Large-scale identification of novel protein signatures in population-scale cohort studies;
- Mechanistic investigation of complex biological networks (e.g., signaling cascades, metabolic cross-talk);
- Discovery of pathway-specific biomarkers for aging, environmental exposure, or lifestyle interventions;
- Stratification of experimental models based on multi-omic integration.
Workflow of Olink Proteomics
Why Creativ Proteomics
Ultra-High-Throughput Proteomics
Simultaneously quantifies thousands of proteins with minimal sample volume, enabling large-scale biomarker discovery and population studies.
Disease-Tailored Analytical Workflows
Preconfigured frameworks for autoimmune, infectious, and chronic inflammation research, including 68 validated biomarker ratios for mechanistic insights.
Advanced Data Visualization Tools
Includes interactive software for intuitive exploration of high-dimensional proteomic data, streamlining hypothesis generation.
Scalable High-Throughput Design
Optimized for large-scale studies, enabling efficient processing of hundreds to thousands of samples while maintaining data consistency
Demo Results of Olink Data
Histogram of Spearman correlation comparing the detection of 4,433 overlapping proteins on the SomaScan 11k and Olink Explore HT platforms, based on the percentage of samples with protein values above the LOD of Olink Explore HT. (Rooney, M. R., et al. 2024)
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 | Aliquot into sterile tubes/plates and store at -80°C. | Transport foil-wrapped samples on dry ice at -80°C. |
| Tissue | ||||
| Cells | ||||
| Exosomes | ||||
| Other |
Case Study
Toward Identification of Markers for Brain-Derived Extracellular Vesicles in Cerebrospinal Fluid: A Large-Scale, Unbiased Analysis Using Proximity Extension Assays
Journal: Journal of extracellular vesicles
Year: 2025
- Background
- Methods
- Results
Extracellular vesicles (EVs) captured from biological fluids have opened new avenues for liquid biopsies. To enrich vesicles from specific cell types or tumors, scientists use antibodies against transmembrane proteins that are relatively unique to the cell type under study. However, recent evidence challenges the fundamental assumption that all transmembrane proteins detected in biological fluids are actually related to EVs. To identify candidate biomarkers for immunocapture of brain-derived EVs and to verify the cargo proteins of EVs from their cellular origin, we conducted an unbiased Olink screening and measured 5,416 unique proteins in cerebrospinal fluid after size exclusion chromatography.
Samples were transported using dry ice to the Broad Institute in Cambridge, Massachusetts, where they were analyzed using the Olink HT platform, which measured 5,416 unique proteins through highly multiplexed proximity extension assays. A pair of antibodies with unique complementary oligonucleotides, called proximity probes, each specific to a target protein of interest, bind to their target antigens. After binding to the target, the oligonucleotide probes meet and hybridize due to physical proximity, forming an immune complex. The resulting hybridized proximity probes can be amplified by DNA polymerase, producing DNA amplicons that can be detected via quantitative PCR (qPCR) or next-generation sequencing (NGS) techniques. Except for GBP1 and MAP2K1, which were done in blocks 3, 4, and 5, all proteins were assessed with single replicates to check for correlations between blocks. Measure the relative abundance of amplicons through NGS, and then convert it to standardized protein expression (NPX) values.
The signals from EV-related proteins peak at component 8 and reach their maximum at components 9 and 10. Due to the minimal or no signals observed in components 6 and 7, we used these two components as internal controls. However, based on the relative signals from component 6 and 7 detected by CD81 Simoaand CD63 Olink (Figure 1b), we selected component 7 in our EV isolation model criteria, rather than a combination of components 6 and 7.
Figure 1. Quantitative analysis of cerebrospinal fluid components using Olink to detect CD63. (Norman, M., et al. 2025)
FAQs
What are the key contrasts between Olink's Explore 384/3072 and HT systems?
Olink Explore HT aims to unlock the tremendous value of proteomics at all scales in an all-round way to advance multi-omics research. It can be widely used in the field of disease treatment, and deepen the comprehensive understanding of the molecular signaling pathway level in the process of disease occurrence, progression and outcome. More than 5300 protein markers can be accurately detected with just 2 μl of sample, and the entire redesigned process is simpler. Compared with the previous generation Explore product, the new product not only increased the number of specific protein markers detected by 80%, but also increased the sample throughput by 4 times, increased the data output capacity by 8 times, and further improved the sample-to-data output efficiency with a more simplified operation process. More importantly, these innovations also reduced environmental space, with all components reduced by a factor of 6 and external packaging reduced by a factor of 10.
What software tools are compatible with Olink Explore HT data analysis?
Explore HT data analysis is supported by both NPX™ Map Software and its CLI counterpart.
What format does Explore HT data delivery take?
The data is sent in Parquet file format. Parquet is a free and open-source file format designed for processing columnar storage data. This file cannot be opened in Microsoft® Excel. Olink recommends installing and using DBeaver to view, query, and export Parquet data. If necessary, Parquet files can be exported to CSV format. The data will be delivered via the Olink® data transfer application, which is a prem-based solution where the data will be transmitted and stored within the boundaries of the Olink environment. For any questions regarding the Parquet file format or other data delivery methods, please contact our support team.
References
- Rooney, M. R., Chen, J., Ballantyne, C. M., et al. (2024). Plasma proteomic comparisons change as coverage expands for SomaLogic and Olink. medRxiv: the preprint server for health sciences, 2024.07.11.24310161. https://doi.org/10.1101/2024.07.11.24310161
- Norman, M., Shami-Shah, A., D'Amaddio, S. C., et al. (2025). Toward Identification of Markers for Brain-Derived Extracellular Vesicles in Cerebrospinal Fluid: A Large-Scale, Unbiased Analysis Using Proximity Extension Assays. Journal of extracellular vesicles, 14(3), e70052. https://doi.org/10.1002/jev2.70052