Proteomics in Proximity

From self-driving cars to self-caring people


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Welcome to the Olink® Proteomics in Proximity podcast! 

 

Below are some useful resources mentioned in this episode: 

 

Olink tools and software

·       Olink® Explore HT, Olink’s most advanced solution for high-throughput biomarker discovery, measuring 5400+ proteins simultaneously with a streamlined workflow and industry-leading specificity: https://olink.com/products-services/exploreht/ 

 

UK Biobank Pharma Proteomics Project (UKB-PPP), one of the world’s largest scientific studies of blood protein biomarkers conducted to date, https://www.ukbiobank.ac.uk/learn-more-about-uk-biobank/news/uk-biobank-launches-one-of-the-largest-scientific-studies 

 

World Health Organization (2003). Adherence to long-term therapies: evidence for action (PDF). 

Geneva: World Health Organisation. ISBN 978-92-4-154599-0

 

Research articles and news

·       Thermo Fisher Scientific’s Olink Platform Selected for World’s Largest Human Proteome Study

https://ir.thermofisher.com/investors/news-events/news/news-details/2025/Thermo-Fisher-Scientifics-Olink-Platform-Selected-for-Worlds-Largest-Human-Proteome-Study/default.aspx

·       Hamilton Se-Hwee Oh et al 2025. Plasma proteomics links brain and immune system aging with healthspan and longevityhttps://www.nature.com/articles/s41591-025-03798-1. Nature Medicine (2025)

·       Song, Y., Abuduaini, B., Yang, X. et al. Identification of inflammatory protein biomarkers for predicting the different subtype of adult with tuberculosis: an Olink proteomic study. Inflamm. Res. 74, 60 (2025). https://doi.org/10.1007/s00011-025-02020-9

·       Ferhan Qureshi et al 2023. Analytical validation of a multi-protein, serum-based assay for disease activity assessments in multiple sclerosis. Proteomics clinical application 2023

·       Dhindsa, R.S., Burren, O.S., Sun, B.B. et al. Rare variant associations with plasma protein levels in the UK Biobank. 2023 Nature, DOI: 10.1038/s41586-023-06547-x

https://www.nature.com/articles/s41586-023-06547-x

·       Sun, B.B., Chiou, J., Traylor, M. et al.  Plasma proteomic associations with genetics and health in the UK Biobank. 2023 Nature, DOI: 10.1038/s41586-023-06592-6 

https://www.nature.com/articles/s41586-023-06592-6

 https://academic.oup.com/eurheartj/advance-article/doi/10.1093/eurheartj/ehac495/6676779

·       Eldjarn GH, et al. Large-scale plasma proteomics comparisons through genetics and disease associations. Nature. 2023 Oct;622(7982):348-358. doi: 10.1038/s41586-023-06563-x

https://www.nature.com/articles/s41586-023-06563-x#Sec44

·        Carrasco-Zanini et al 2024 Proteomic prediction of common and rare diseases. https://www.nature.com/articles/s41591-024-03142-z . NatureMedicine volume 30,  pages2489–2498 (2024)

·       Watanabe K, Wilmanski T, Diener C, et al. Multiomic signatures of body mass index identify heterogeneous health phenotypes and responses to a lifestyle intervention.https://www.nature.com/articles/s41591-023-02248-0

·       Petrera A, von Toerne C, Behlr J, et al. Multiplatform Approach for Plasma Proteomics: Complementarity of Olink Proximity Extension Assay Technology to Mass Spectrometry-Based Protein Profiling. (2020) Journal of Proteome Research, 

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.0c00641

·       Multicenter Collaborative Study to Optimize Mass Spectrometry Workflows of Clinical Specimens. 

Kardell O, von Toerne C, Merl-Pham J, König AC, Blindert M, Barth TK, Mergner J, Ludwig C, Tüshaus J, Eckert S, Müller SA, Breimann S, Giesbertz P, Bernhardt AM, Schweizer L, Albrecht V, Teupser D, Imhof A, Kuster B, Lichtenthaler SF, Mann M, Cox J, Hauck SM. J Proteome Res. 2024 Jan 5;23(1):117-129. doi: 10.1021/acs.jproteome.3c00473. Epub 2023 Nov 28. PMID: 38015820 

https://pubs.acs.org/doi/10.1021/acs.jproteome.3c00473

·       Wei, S., Shen, R., Lu, X. et al. Integrative multi-omics investigation of sleep apnea: gut microbiome metabolomics, proteomics and phenome-wide association study. Nutr Metab (Lond) 22, 57 (2025). https://doi.org/10.1186/s12986-025-00925-0

·       Liu, L., Li, M., Qin, Y. et al. Childhood obesity and insulin resistance is correlated with gut microbiome serum protein: an integrated metagenomic and proteomic analysis. Sci Rep 15, 21436 (2025). https://doi.org/10.1038/s41598-025-07357-z

·       Zhang, Xiaotao et al.Modulating a prebiotic food source influences inflammation and immune-regulating gut microbes and metabolites: insights from the BE GONE trial. eBioMedicine, Volume 98, 104873 (2023.).  10.1016/j.ebiom.2023.104873

·      &nb...

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