Our community

Our inspirational customers are accelerating proteomics research at an ever faster pace, and love to share their successes and insights with each other and with us. This is what we call the “Olink community”!

Customer stories

Nothing motivates us quite like the amazing breakthroughs our customers are able to make using Olink technology. Nothing makes us happier than when the exceptional scientists we work with want to share their stories with the wider scientific community. Browse our customer stories content and see how Olink is helping to provide actionable insights to further our understanding of real-time human biology and drive the development of future therapies.

Customer consortia

Olink protein biomarker discovery technology has been used by many leading scientists around the world, across a broad range of application areas. These scientists are now coming together to form collaborative research consortia where research groups around the world can openly share their proteomics data from Olink studies, greatly increasing the statistical power of their combined efforts. Olink applauds and supports these independent collaborative initiatives, which will accelerate progress in key disease areas and ultimately lead to new and better therapies for patients.

COLLIBRI is a consortium that aims to accelerate progress in the field of inflammatory bowel disease through the use of protein biomarkers.

The aim of the CORAL consortium is to identify novel biomarkers and biological mechanisms for neurological diseases that are developed into biomarkers for diagnostic, prognostic, disease monitoring, and/or treatment response evaluation.

The SCALLOP consortium is a collaborative framework for the discovery and follow-up of genetic associations with proteins on the Olink Proteomics platform.

Customer recommendations

We have employed Olink panels in longitudinal deep phenotyping studies of over 5,000 individuals. We have found the data quality and reproducibility to be among the best of the high dimensional data strategies we have used
Professor Leroy Hood, Institute for Systems Biology, Seattle WA.