Issue 31, 2023

A highly sensitive nanochannel device for the detection of SUMO1 peptides

Abstract

SUMOylation is an important and highly dynamic post-translational modification (PTM) process of protein, and its disequilibrium may cause various diseases, such as cancers and neurodegenerative disorders. SUMO proteins must be accurately detected to understand disease states and develop effective drugs. Reliable antibodies against SUMO2/3 are commercially available; however, efficient detectors are yet to be developed for SUMO1, which has only 50% homology with SUMO2 and SUMO3. Here, using phage display technology, we identified two cyclic peptide (CP) sequences that could specifically bind to the terminal dodecapeptide sequence of SUMO1. Then we combined the CPs and polyethylene terephthalate conical nanochannel films to fabricate a nanochannel device highly sensitive towards the SUMO1 terminal peptide and protein; sensitivity was achieved by ensuring marked variations in both transmembrane ionic current and Faraday current. The satisfactory SUMO1-sensing ability of this device makes it a promising tool for the time-point monitoring of the SENP1 enzyme-catalyzed de-SUMOylation reaction and cellular imaging. This study not only solves the challenge of SUMO1 precise recognition that could promote SUMO1 proteomics analysis, but also demonstrates the good potential of the nanochannel device in monitoring of enzymes and discovery of effective drugs.

Graphical abstract: A highly sensitive nanochannel device for the detection of SUMO1 peptides

Supplementary files

Article information

Article type
Edge Article
Submitted
06 شوال 1444
Accepted
25 ذو الحجة 1444
First published
25 ذو الحجة 1444
This article is Open Access

All publication charges for this article have been paid for by the Royal Society of Chemistry
Creative Commons BY-NC license

Chem. Sci., 2023,14, 8360-8368

A highly sensitive nanochannel device for the detection of SUMO1 peptides

Y. Qin, X. Zhang, Y. Song, B. Zhong, L. Liu, D. Wang, Y. Zhang, W. Lu, X. Zhao, Z. Jia, M. Li, L. Zhang and G. Qing, Chem. Sci., 2023, 14, 8360 DOI: 10.1039/D3SC02140H

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