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Protein identification by nanopore peptide profiling

Author

Listed:
  • Florian Leonardus Rudolfus Lucas

    (University of Groningen)

  • Roderick Corstiaan Abraham Versloot

    (University of Groningen)

  • Liubov Yakovlieva

    (University of Groningen)

  • Marthe T. C. Walvoort

    (University of Groningen)

  • Giovanni Maglia

    (University of Groningen)

Abstract

Nanopores are single-molecule sensors used in nucleic acid analysis, whereas their applicability towards full protein identification has yet to be demonstrated. Here, we show that an engineered Fragaceatoxin C nanopore is capable of identifying individual proteins by measuring peptide spectra that are produced from hydrolyzed proteins. Using model proteins, we show that the spectra resulting from nanopore experiments and mass spectrometry share similar profiles, hence allowing protein fingerprinting. The intensity of individual peaks provides information on the concentration of individual peptides, indicating that this approach is quantitative. Our work shows the potential of a low-cost, portable nanopore-based analyzer for protein identification.

Suggested Citation

  • Florian Leonardus Rudolfus Lucas & Roderick Corstiaan Abraham Versloot & Liubov Yakovlieva & Marthe T. C. Walvoort & Giovanni Maglia, 2021. "Protein identification by nanopore peptide profiling," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-26046-9
    DOI: 10.1038/s41467-021-26046-9
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    Cited by:

    1. Mohammad Ahmad & Jeung-Hoi Ha & Lauren A. Mayse & Maria F. Presti & Aaron J. Wolfe & Kelsey J. Moody & Stewart N. Loh & Liviu Movileanu, 2023. "A generalizable nanopore sensor for highly specific protein detection at single-molecule precision," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    2. Cozac, Marina & Mende, Martin & Scott, Maura L., 2023. "Consumer preferences for fuel snacks at the intersection of caregiving stress and gender," Journal of Business Research, Elsevier, vol. 159(C).
    3. Jia-Yong Zhong & Longjian Niu & Zhuo-Bin Lin & Xin Bai & Ying Chen & Feng Luo & Chunhui Hou & Chuan-Le Xiao, 2023. "High-throughput Pore-C reveals the single-allele topology and cell type-specificity of 3D genome folding," Nature Communications, Nature, vol. 14(1), pages 1-18, December.

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