Proximity Extension Assay
The biomarker panels developed by Olink is a unique technology enabling high-throughput, multiplex immunoassay-qPCR that measure 92 proteins across 96 samples simultaneously using only one microliter of serum, plasma, or equivalent amounts of almost any other type of biological sample. The innovative dual recognition, DNA-coupled methodology provides exceptional readout specificity, enabling high multiplex, rapid throughput biomarker analysis without compromising on data quality assay robustness.
The 981 human immunoassays developed are divided into 12 disease-focused panels. Samples may be analysed against one or more panels using only 1µl of plasma/serum per panel.
The content of each panel can be found at;
Real-Time qPCR Technology
The integrated fluidic circuits (IFCs) – often referred to as chips or plates – offer rapid, efficient, highly parallel and reproducible multistep sample preparation and analysis of up to hundreds of genetic markers across thousands of samples in just hours, rather than days or weeks. This allows for analysis of DNA, RNA, protein and epigenetics at a single cell level.
The system includes the optical, thermal cycling, and software components necessary to perform real-time PCR gene expression, genotyping and digital analysis, as well as end-point analysis for genotyping and digital applications. The BioMark™ HD System provides orders of magnitude higher throughput for real-time PCR compared to conventional platforms due to its integrated fluidic circuits (IFCs). This innovative solution for real-time PCR provides experiment densities far beyond what is possible with microplate platforms, and significantly reduces the number of liquid-handling steps and volumes per reaction.
BioXpedia provides sample preparation and high-quality extraction of DNA, RNA, and protein for any downstream analysis. To ensure maximum reproducibility and efficiency, automated workflow and robotic pipetting is used whenever possible.
DNA and RNA can be isolated from fresh, frozen and fixed tissue along with any biofluid sample. Additionally, we offer isolation of free-circulating nucleic acids and isolation of extracellular vesicles like exosomes from plasma, serum and other biofluid for nucleic acid and protein analysis.
The nCounter Analysis System from nanoString Technologies offers single molecule detection, using unique fluorescent barcodes. The colour-coded barcodes enable direct, digital detection of hundreds (≤800) of individual target molecules in a single assay. This will allow you to see the relationship between, DNA, RNA, and protein in one single sample and compare genotyping with gene and protein expression. NanoString can detect target molecules as small as 100 base pairs and only requires a limited input amount of 100ng. This enables multiplex gene expression profiling with single cell worth of input.
NanoString is a fully automated technology ensuring precise and reproducible measurements, making it compatible with clinical research environments. The technology is robust across many sample types and qualities, both tissues of poor and varying quality can be used including FFPE tissue sections.
For every target of interest two adjacent 50 base pair probes complementary to the target region will be utilized: a capture probe linked to biotin for immobilization and purification, and a reporter probe connected to a unique colour coded molecular barcode. In a completely enzyme-free reaction, an excess of probe will drive the hybridization of all target-probe complexes to completion. Up to 800 different targets can be analysed in a single reaction. Once the target-probe complexes have hybridized, the complexes are captured on a streptavidin-coated surface, where they are elongated and immobilized for imaging.
A scanner then digitally counts the number of barcodes hybridized to a single molecule for each of the targets. One molecule equals one count. This ensures a very low false positive rate (0.1%) compared to analogue technologies that measure fluorescent intensities. The data from the digital reads are then normalized to internal controls and a set of reference genes. This will generate highly precise relative counts that can be interpreted in terms of relative change across samples. Absolute counts are not calculated using this technology.