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Systematic Development of Sandwich Immunoassays for the Plasma Secretome

  • Ragna S. Häussler
  • , Annika Bendes
  • , Maria Jesus Iglesias
  • , Laura Sanchez-Rivera
  • , Tea Dodig-Crnković
  • , Sanna Byström
  • , Claudia Fredolini
  • , Elin Birgersson
  • , Matilda Dale
  • , Fredrik Edfors
  • , Linn Fagerberg
  • , Johan Rockberg
  • , Hanna Tegel
  • , Mathias Uhlén
  • , Ulrika Qundos
  • , Jochen M. Schwenk
    • KTH Royal Institute of Technology
    • Atlas Antibodies AB

    Research output: Contribution to journalJournal articleResearchpeer-review

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    Abstract

    The plasma proteome offers a clinically useful window into human health. Recent advances from highly multiplexed assays now call for appropriate pipelines to validate individual candidates. Here, a workflow is developed to build dual binder sandwich immunoassays (SIA) and for proteins predicted to be secreted into plasma. Utilizing suspension bead arrays, ≈1800 unique antibody pairs are first screened against 209 proteins with recombinant proteins as well as EDTA plasma. Employing 624 unique antibodies, dilution-dependent curves in plasma and concentration-dependent curves of full-length proteins for 102 (49%) of the targets are obtained. For 22 protein assays, the longitudinal, interindividual, and technical performance is determined in a set of plasma samples collected from 18 healthy subjects every third month over 1 year. Finally, 14 of these assays are compared with with SIAs composed of other binders, proximity extension assays, and affinity-free targeted mass spectrometry. The workflow provides a multiplexed approach to screen for SIA pairs that suggests using at least three antibodies per target. This design is applicable for a wider range of targets of the plasma proteome, and the assays can be applied for discovery but also to validate emerging candidates derived from other platforms.
    Original languageEnglish
    Article number1900008
    JournalProteomics
    Volume19
    Issue number15
    Number of pages19
    ISSN1615-9853
    DOIs
    Publication statusPublished - 2019

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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