Olink Proteomics
With the growing focus on personalized medicine, there is an increasing demand for biomarkers used in early diagnosis, prognosis, patient stratification, or monitoring treatment responses. Compared to genomic biomarkers, protein biomarkers offer significantly higher levels of differential information. Olink proteomics, based on the unique Proximity Extension Assay (PEA), enables the simultaneous quantification of multiple protein biomarkers. Olink's PEA uses two matched antibodies for each target antigen. Each antibody pair is labeled with a unique DNA oligonucleotide barcode. When antibodies bind to the same target protein in solution, the DNA oligonucleotides anneal with sufficient stability to allow DNA extension. The DNA barcodes are then amplified and quantified through qPCR or next-generation sequencing to enable absolute or relative quantification, providing highly sensitive protein detection.
Olink PEA (two antibodies bind to the target, causing the conjugated DNA barcodes to anneal;
then the double-stranded DNA barcodes are amplified and quantified through qPCR or NGS)
Olink proteomics provides a high-throughput solution for protein biomarker discovery, capable of detecting hundreds to thousands of proteins in minimal biological samples down to microlevels. Its analytical methods have been rigorously validated to offer excellent specificity at a high multiplex level. Due to its high sensitivity and throughput features, Olink proteomics is widely used in biomarker discovery, disease mechanism studies, drug development, and personalized medicine. In clinical biomarker research, it can be applied throughout all stages of drug development, including early discovery and preclinical and clinical development.
Olink proteomics analysis process by BioTechPark (BTP)
BioTechPark (BTP) utilizes the Olink Explore384/1536/3072, Olink Target 96, Olink Target 48, and Olink Flex protein detection platforms developed by Olink. Their unique PEA technology enables high-throughput, multiplex immunoassay-PCR, allowing for high-specificity and sensitivity analysis of proteins using minimal sample amounts (as low as 1 µL). The innovative dual-recognition, DNA-coupling method provides excellent readout specificity, enabling high-multiplex, rapid throughput protein biomarker identification.Click to view the protein biomarkers that BTP can detect.
|
Olink Explore 384/1536/3072 |
Olink Target 96 |
Olink Target 48 |
Olink Flex |
|
|
Features |
Olink Explore 3072 consists of 8 384-panels, while Olink Explore 1536 can flexibly combine 4 types of 384-panels, offering flexibility and scalability. |
Olink Target 96 has 15 panels carefully designed for human diseases and key biological processes. Researchers using mouse models can also use Target 96 Mouse Exploratory. |
Olink Target 48 is the ultimate solution for cytokine research and inflammation-related diseases, capable of analyzing proteins most relevant to inflammation processes and disease studies to support clinical trials. |
Olink Flex supports selecting and combining up to 21 human protein targets in a biomarker set. Mix and match from approximately 200 fully pre-validated inflammation-related protein biomarkers. |
|
Applications |
Cardiometabolic Inflammation Neurological Disorders Oncology |
1) Disease-related: Cardiovascular Disease II, Cardiovascular Disease III, Oncology, Oncology III, Neurological Disorders, Inflammation, Immuno-oncology 2) Biological Pathways: Cardiometabolic, Cell Regulation, Neural Exploration, Immune Response, Development, Metabolism, Organ Damage |
1) Elucidate the impact of in vitro treatments on the quantity of produced cytokines 2) Predict candidate biomarkers for response and/or toxicity 3) Combine Target 48 cytokine panel with gene expression (RNA) data to understand mechanisms of the immune system 4) Evaluate drug-induced immunogenicity in vivo |
Select and combine pre-validated inflammation-focused assays from Olink's rich biomarker library—achieving 99% combinability while maintaining the quality, performance, specificity, and sensitivity associated with standard Olink panels. Supports absolute (pg/mL) or relative (NPX) quantification. |
Service Advantages
1) Minimal clinical sample volume (plasma/serum as low as 1 µL);
2) High protein detection sensitivity, comparable to or better than ELISA;
3) Improved precision for multiplex and intermediate multiplex detection (average intra-assay coefficient of variation (%CV) less than 10%, average inter-assay coefficient of variation (%CV) less than 20%);
4) Dynamic range exceeding 10 orders of magnitude, making it ideal for plasma proteomics research;
5) Dual recognition by two antibodies and unique DNA barcodes for each protein enable high specificity in protein detection—no need to account for readout cross-reactivity.
Application Areas
1. Drug Target Identification
Identify protein quantitative trait loci (pQTL) to link genetic variations, proteins, and diseases
Gain deep insights into tumor biology, immune regulation mechanisms, phenotypic changes, and the transition from cold to hot tumors
2. Biomarker Analysis and Screening
Analyze longitudinal biomarker data between early and late time points to identify key biomarkers associated with the transition from drug sensitivity to resistance
3. Protein Response Validation in Clinical Trials
Predict and monitor treatment responses, treatment sensitivity, and immune resistance mechanisms
Guide strategies to optimize response rates and identify new target pathways
4. Exploratory Endpoints in Clinical Trials
Investigate the correlation between circulating protein biomarkers and clinical outcomes
Predict the onset and mechanisms of treatment-related toxicity, monitor cytokine release syndrome, and neurotoxicity
Predict recurrence and treatment progression in adjuvant therapy
BiotechPack, A Biopharmaceutical Characterization and Multi-Omics Mass Spectrometry (MS) Services Provider
In the results report, BioTechPark will provide you with a detailed bilingual (Chinese and English) report, which includes:
1. Experimental Steps (Chinese and English)
2. Absolute Quantitative Data (pg/ml) (only for Olink Target 48)
3. Relative Quantitative Data: presented in standardized protein expression (NPX) format
4. Data Visualization: providing principal component analysis and heatmaps to visualize sample distribution and protein expression
5. Statistical Analysis: including differential expression protein analysis
Related Services
Quantitative Proteomics Analysis
Label-Free Based Quantitative Proteomics Analysis
Label-Based Protein Quantification Techniques - iTRAQ, TMT, SILAC
How to order?
