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Olink Proteomics

High-throughput, targeted protein profiling to quantify low-abundance biomarkers and reveal biological pathways associated with health and disease.

Olink Proteomics is a high-throughput proteomics solution for protein biomarker discovery in human body fluids--such as plasma, serum, cerebrospinal fluid, and urine--with exceptional efficiency. Olink Proteomics employ Proximity Extension Assay (PEA) technology to target thansands of proteins, which are subsequently quantified via Next-Genration Sequencing (NGS). By integrating the specificity of immunoassays with the scalability and precision of sequencing, Olink Proteomics delivers outstanding specificity, sensitivity, and scalability. This makes it an ideal tool for researchers investigating complex biological systems, disease mechanisms, and potential therapeutic targets through protein biomarker analysis.


We are among the first certified providers worldwide to offer high-throughput, high-quality protein biomarker discovery services using Olink’s leading proteomics platforms with Olink Reveal Panel

Why Choose Olink Proteomics

High Specificity

Dual-antibody PEA technology ensures precise target recognition by requiring simultaneous binding for detection.

High Sensitivity and Wide Dynamic Range

10-log dynamic range (fg/mL to mg/mL) with full coverage of high, medium and low abundance proteins

High Throughput

Screen up to 1000+ proteins per sample

Low Sample Volume

as low as 2~4 uL for each sample matrix, ideal for precious biobank samples

Why Choose Novogene for your Olink Proteomics?

Olink Certified Service Provider
Olink Certified Service Provider

Global CSP for Olink Reveal Proteomics

Comprehensive Analysis
Comprehensive Analysis

Bioinformatic expertise supporting multiomics analysis and customized analysis

Outstanding Project Management 
Outstanding Project Management 

Dedicated team supporting projects of any scale

Applications of Olink Proteomics in Research and Medicine

Discover the power of Olink Proteomics with Novogene’s services, designed to assist in a variety of research goals:

Proteomic profiling

Screen disease-specific biomarkers; identify protein signatures for precision medicine or treatment response

Disease classification

Develop diagnostic and prognostic model by integrating proteomics with genomic and clinical data

Drug development

Identify drug targets and therapeutic biomarkers, gain insights into drug efficacy and mechanism-of-action

Specifications

Sample Requirements

Sample amounts are listed for reference only. Download the Sample Submission Guidelines to learn more. For detailed information, please contact us with your customized requests.

Sample typeVolumeNotes
Human Plasma/Serum≥50 μL• Please include enough dry ice and send by frozen delivery to avoid sample thawing during shipping.
• It is recommended to store samples at −80 °C immediately after extraction as hemolysis may affect the analysis results 
Other sample matricesExamples – CSF, lysates, cell culture supernatant, etc.
Please contact us for more information. 

Workflow

Workflow

Resources

Proximity Extension Assay

1. Immuno reaction: Two matched antibodies labelled with unique DNA oligonucleotides simultaneously bind to a target protein in solution.

2. Extension: In close proximity, their DNA oligos hybridize and are extended by DNA polymerase, resulting in a DNA barcode unique for each protein.

3. Detection: This newly created DNA barcode is amplified by PCR and ready for readout by NGS

Preview

Biomarker list for Olink Reveal

Demo Results

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Data Normalization and Quality Control

Following sequencing, raw counts per assay-sample combination are converted into NPX (Normalized Protein eXpression) values, Olink's arbitrary log2-scale unit, for protein expression analysis.

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Protein Expression Analysis

PCA plot, Pearson's correlation coefficient analysis, and heatmaps are used to visualize protein expression profiles for all samples.

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Differentially Expressed Proteins (DEPs) Analysis

Identified DEPs are visualized through volcano plots and heatmaps. Correlation patterns are explored via network diagrams and scatter plots, and DEP importance is evaluated using random forest analysis and ROC curves.

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Functional Analysis

Multiple enrichment analyses (GO, KEGG, Reactome, DO, and InterPro) are performed to identify associated biological functions and pathways. PPI networks visualize protein interactions.

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Ready to Start Your Project?

Our platform offers tailored solutions for

your unique experimental needs, ensuring a seamless experience from project design to data delivery.