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Multi-pass, single-molecule nanopore reading of long protein strands with single-amino acid sensitivity.
Motone, Keisuke; Kontogiorgos-Heintz, Daphne; Wee, Jasmine; Kurihara, Kyoko; Yang, Sangbeom; Roote, Gwendolin; Fang, Yishu; Cardozo, Nicolas; Nivala, Jeff.
Affiliation
  • Motone K; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
  • Kontogiorgos-Heintz D; These authors contributed equally: Keisuke Motone, Daphne Kontogiorgos-Heintz.
  • Wee J; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
  • Kurihara K; These authors contributed equally: Keisuke Motone, Daphne Kontogiorgos-Heintz.
  • Yang S; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
  • Roote G; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
  • Fang Y; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
  • Cardozo N; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
  • Nivala J; Paul. G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA.
bioRxiv ; 2023 Oct 20.
Article de En | MEDLINE | ID: mdl-37905023
The ability to sequence single protein molecules in their native, full-length form would enable a more comprehensive understanding of proteomic diversity. Current technologies, however, are limited in achieving this goal. Here, we establish a method for long-range, single-molecule reading of intact protein strands on a commercial nanopore sensor array. By using the ClpX unfoldase to ratchet proteins through a CsgG nanopore, we achieve single-amino acid level sensitivity, enabling sequencing of combinations of amino acid substitutions across long protein strands. For greater sequencing accuracy, we demonstrate the ability to reread individual protein molecules, spanning hundreds of amino acids in length, multiple times, and explore the potential for high accuracy protein barcode sequencing. Further, we develop a biophysical model that can simulate raw nanopore signals a priori, based on amino acid volume and charge, enhancing the interpretation of raw signal data. Finally, we apply these methods to examine intact, folded protein domains for complete end-to-end analysis. These results provide proof-of-concept for a platform that has the potential to identify and characterize full-length proteoforms at single-molecule resolution.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BioRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: BioRxiv Année: 2023 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: États-Unis d'Amérique