TY - JOUR
T1 - Engineering Biological Nanopore Approaches toward Protein Sequencing
AU - Wei, Xiaojun
AU - Penkauskas, Tadas
AU - Reiner, Joseph E.
AU - Kennard, Celeste
AU - Uline, Mark J.
AU - Wang, Qian
AU - Li, Sheng
AU - Aksimentiev, Aleksei
AU - Robertson, Joseph W.F.
AU - Liu, Chang
N1 - C.L. acknowledges support from the National Institute of Allergy and Infectious Diseases (NIAID) Grants K22AI136686 and R61AI174295, as well as the National Science Foundation (NSF) CAREER Award 2047503. A.A. acknowledges support from the National Human Genome Research Institute (NHGRI) through Grants R21HG011741 and R01HG012553, and the NSF through Grant PHY-1430124. J.E.R. was supported by the NSF under Grant CBET-2011173. X.W. acknowledges Dr. Lihong Jing from the Institute of Chemistry, Chinese Academy of Sciences, for her kind discussion in producing figures.
PY - 2023/9/12
Y1 - 2023/9/12
N2 - Biotechnological innovations have vastly improved the capacity to perform large-scale protein studies, while the methods we have for identifying and quantifying individual proteins are still inadequate to perform protein sequencing at the single-molecule level. Nanopore-inspired systems devoted to understanding how single molecules behave have been extensively developed for applications in genome sequencing. These nanopore systems are emerging as prominent tools for protein identification, detection, and analysis, suggesting realistic prospects for novel protein sequencing. This review summarizes recent advances in biological nanopore sensors toward protein sequencing, from the identification of individual amino acids to the controlled translocation of peptides and proteins, with attention focused on device and algorithm development and the delineation of molecular mechanisms with the aid of simulations. Specifically, the review aims to offer recommendations for the advancement of nanopore-based protein sequencing from an engineering perspective, highlighting the need for collaborative efforts across multiple disciplines. These efforts should include chemical conjugation, protein engineering, molecular simulation, machine-learning-assisted identification, and electronic device fabrication to enable practical implementation in real-world scenarios.
AB - Biotechnological innovations have vastly improved the capacity to perform large-scale protein studies, while the methods we have for identifying and quantifying individual proteins are still inadequate to perform protein sequencing at the single-molecule level. Nanopore-inspired systems devoted to understanding how single molecules behave have been extensively developed for applications in genome sequencing. These nanopore systems are emerging as prominent tools for protein identification, detection, and analysis, suggesting realistic prospects for novel protein sequencing. This review summarizes recent advances in biological nanopore sensors toward protein sequencing, from the identification of individual amino acids to the controlled translocation of peptides and proteins, with attention focused on device and algorithm development and the delineation of molecular mechanisms with the aid of simulations. Specifically, the review aims to offer recommendations for the advancement of nanopore-based protein sequencing from an engineering perspective, highlighting the need for collaborative efforts across multiple disciplines. These efforts should include chemical conjugation, protein engineering, molecular simulation, machine-learning-assisted identification, and electronic device fabrication to enable practical implementation in real-world scenarios.
KW - amino acid
KW - engineering
KW - instrumentation
KW - machine learning
KW - molecular simulation
KW - nanopore
KW - peptide
KW - protein sequencing
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U2 - 10.1021/acsnano.3c05628
DO - 10.1021/acsnano.3c05628
M3 - Review article
C2 - 37490313
AN - SCOPUS:85167779562
SN - 1936-0851
VL - 17
SP - 16369
EP - 16395
JO - ACS Nano
JF - ACS Nano
IS - 17
ER -