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Synergistic insights into human health from aptamer- and antibody-based proteomic profiling

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  • Maik Pietzner

    (University of Cambridge
    Computational Medicine, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin)

  • Eleanor Wheeler

    (University of Cambridge)

  • Julia Carrasco-Zanini

    (University of Cambridge)

  • Nicola D. Kerrison

    (University of Cambridge)

  • Erin Oerton

    (University of Cambridge)

  • Mine Koprulu

    (University of Cambridge)

  • Jian’an Luan

    (University of Cambridge)

  • Aroon D. Hingorani

    (University College London
    UCL BHF Research Accelerator Centre
    Health Data Research UK)

  • Steve A. Williams

    (SomaLogic, Inc)

  • Nicholas J. Wareham

    (University of Cambridge
    Health Data Research UK)

  • Claudia Langenberg

    (University of Cambridge
    Computational Medicine, Berlin Institute of Health (BIH) at Charité – Universitätsmedizin Berlin
    Health Data Research UK)

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.

Suggested Citation

  • Maik Pietzner & Eleanor Wheeler & Julia Carrasco-Zanini & Nicola D. Kerrison & Erin Oerton & Mine Koprulu & Jian’an Luan & Aroon D. Hingorani & Steve A. Williams & Nicholas J. Wareham & Claudia Langen, 2021. "Synergistic insights into human health from aptamer- and antibody-based proteomic profiling," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-27164-0
    DOI: 10.1038/s41467-021-27164-0
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    4. Lingyan Chen & James E. Peters & Bram Prins & Elodie Persyn & Matthew Traylor & Praveen Surendran & Savita Karthikeyan & Ekaterina Yonova-Doing & Emanuele Angelantonio & David J. Roberts & Nicholas A., 2022. "Systematic Mendelian randomization using the human plasma proteome to discover potential therapeutic targets for stroke," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
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    6. Erik Duijvelaar & Jack Gisby & James E. Peters & Harm Jan Bogaard & Jurjan Aman, 2024. "Longitudinal plasma proteomics reveals biomarkers of alveolar-capillary barrier disruption in critically ill COVID-19 patients," Nature Communications, Nature, vol. 15(1), pages 1-16, December.

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