Pietzner, M;
Wheeler, E;
Carrasco-Zanini, J;
Kerrison, ND;
Oerton, E;
Koprulu, M;
Luan, J;
... Langenberg, C; + view all
(2021)
Synergistic insights into human health from aptamer- and antibody-based proteomic profiling.
Nature Communications
, 12
(1)
, Article 6822. 10.1038/s41467-021-27164-0.
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Abstract
Affinity-based proteomics has enabled scalable quantification of thousands of protein targets in blood enhancing biomarker discovery, understanding of disease mechanisms, and genetic evaluation of drug targets in humans through protein quantitative trait loci (pQTLs). Here, we integrate two partly complementary techniques-the aptamer-based SomaScan® v4 assay and the antibody-based Olink assays-to systematically assess phenotypic consequences of hundreds of pQTLs discovered for 871 protein targets across both platforms. We create a genetically anchored cross-platform proteome-phenome network comprising 547 protein-phenotype connections, 36.3% of which were only seen with one of the two platforms suggesting that both techniques capture distinct aspects of protein biology. We further highlight discordance of genetically predicted effect directions between assays, such as for PILRA and Alzheimer's disease. Our results showcase the synergistic nature of these technologies to better understand and identify disease mechanisms and provide a benchmark for future cross-platform discoveries.
| Type: | Article |
|---|---|
| Title: | Synergistic insights into human health from aptamer- and antibody-based proteomic profiling |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1038/s41467-021-27164-0 |
| Publisher version: | https://doi.org/10.1038/s41467-021-27164-0 |
| Language: | English |
| Additional information: | © 2021 Springer Nature Limited. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Blood proteins, Diseases, Proteomic analysis, Quantitative trait loci |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10139402 |
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