Unambiguous discrimination of all 20 proteinogenic amino acids and their modifications by nanopore
Natural proteins are composed of 20 proteinogenic amino acids and their post-translational modifications (PTMs). However, due to the lack of a suitable nanopore sensor that can simultaneously discriminate between all 20 amino acids and their PTMs, direct sequencing of protein with nanopores has not...
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Published in | Nature methods Vol. 21; no. 1; pp. 92 - 101 |
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Main Authors | , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.01.2024
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
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Summary: | Natural proteins are composed of 20 proteinogenic amino acids and their post-translational modifications (PTMs). However, due to the lack of a suitable nanopore sensor that can simultaneously discriminate between all 20 amino acids and their PTMs, direct sequencing of protein with nanopores has not yet been realized. Here, we present an engineered hetero-octameric
Mycobacterium smegmatis
porin A (MspA) nanopore containing a sole Ni
2+
modification. It enables full discrimination of all 20 proteinogenic amino acids and 4 representative modified amino acids,
N
ω
,
N’
ω
-dimethyl-arginine (Me-R),
O
-acetyl-threonine (Ac-T),
N
4
-(β-
N
-acetyl-
d
-glucosaminyl)-asparagine (GlcNAc-N) and
O
-phosphoserine (P-S). Assisted by machine learning, an accuracy of 98.6% was achieved. Amino acid supplement tablets and peptidase-digested amino acids from peptides were also analyzed using this strategy. This capacity for simultaneous discrimination of all 20 proteinogenic amino acids and their PTMs suggests the potential to achieve protein sequencing using this nanopore-based strategy.
A Ni
2+
-modified MspA nanopore construct can unambiguously discriminate the 20 proteogenic amino acids as well as several post-translational modifications. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1548-7091 1548-7105 |
DOI: | 10.1038/s41592-023-02021-8 |