journal article·2025-08Open access

Exploring New Nanopore Sensors from the Aerolysin Family

Juan F. Bada Juarez, Nuria Cirauqui, Fernando Augusto T. P. Meireles, Louis W. Perrin, Julian Barry, Monika Bokori‐Brown, Maria J. Marcaida, Chan Cao, Matteo Dal Peraro

Small· Volume 21· Issue 33

Abstract

Abstract Aerolysin‐like proteins are a family of pore‐forming toxins with potential biotechnological applications as nanopore sensors for biomolecular detection and sequencing. Despite their conserved structural fold, the low sequence identity complicates sequence alignment, limiting the understanding of their pore structure and properties. Here, the pore structures of three family members – Clostridium perfringens epsilon toxin (ETX), Laetiporus sulphureus lectin (LSL), and Bacillus thuringiensis parasporin‐2 – are analyzed and compared to aerolysin and assess their single‐strand DNA (ssDNA) sensing capabilities through in silico methods. ETX is further characterized experimentally, revealing three distinct pore conformations, each with specific open pore currents, only one of which translocates ssDNA. Notably, ETX exhibited higher current blockage depth compared to aerolysin during ssDNA translocation, indicating a higher sensitivity for molecular sensing. The findings open new avenues for improving and diversifying nanopore capabilities in molecular sensing.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Nanopore and Nanochannel Transport Studies · Ion-surface interactions and analysis · Bacteriophages and microbial interactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Bioengineering School of Life Sciences EPFL Lausanne 1015 Switzerland

Department of Inorganic and Analytical Chemistry Chemistry and Biochemistry University of Geneva Quai Ernest‐Ansermet 30 Geneva CH‐1211 Switzerland

University of Exeter Exeter EX4 4QD UK

Funding

Novartis Foundation · Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

References (31)

Show source-provided references
1. 10.1371/journal.pone.002034910.1371/journal.pone.0020349 ↗
2. 10.1038/s41598-017-13714-410.1038/s41598-017-13714-4 ↗
3. 10.1038/sj.emboj.760095910.1038/sj.emboj.7600959 ↗
4. 10.1038/s41587-019-0345-210.1038/s41587-019-0345-2 ↗
5. 10.1126/sciadv.abc266110.1126/sciadv.abc2661 ↗
6. 10.1038/nnano.2016.6610.1038/nnano.2016.66 ↗
7. 10.1038/s41467-022-32800-410.1038/s41467-022-32800-4 ↗
8. 10.1038/s41467-018-05108-510.1038/s41467-018-05108-5 ↗
9. 10.1038/ncomms1159810.1038/ncomms11598 ↗
10. 10.15252/embr.20154085110.15252/embr.201540851 ↗
11. 10.1038/ncomms1129310.1038/ncomms11293 ↗
12. 10.1074/jbc.M01152720010.1074/jbc.M011527200 ↗
13. 10.1038/s41467-019-10645-810.1038/s41467-019-10645-8 ↗
14. 10.1093/jb/mvm22010.1093/jb/mvm220 ↗
15. 10.1038/ncomms1206210.1038/ncomms12062 ↗
16. 10.1038/s41467-019-12690-910.1038/s41467-019-12690-9 ↗
17. 10.1016/j.bpj.2017.08.04510.1016/j.bpj.2017.08.045 ↗
18. 10.1074/jbc.M01041220010.1074/jbc.M010412200 ↗
19. 10.1038/nchem.248710.1038/nchem.2487 ↗
20. 10.1002/celc.20180028810.1002/celc.201800288 ↗
21. 10.1038/367292a010.1038/367292a0 ↗
22. 10.1038/nsmb80410.1038/nsmb804 ↗
23. 10.1074/jbc.M41393320010.1074/jbc.M413933200 ↗
24. 10.1016/j.jmb.2008.12.00210.1016/j.jmb.2008.12.002 ↗
25. 10.1002/0471250953.bi0506s1510.1002/0471250953.bi0506s15 ↗
26. 10.1093/bioinformatics/btt05510.1093/bioinformatics/btt055 ↗
27. 10.1093/nar/gkr70310.1093/nar/gkr703 ↗
28. 10.1002/jcc.2094510.1002/jcc.20945 ↗
29. 10.1021/ct300400x10.1021/ct300400x ↗
30. 10.1093/nar/gkn31410.1093/nar/gkn314 ↗
31. 10.1039/b9nr00275h10.1039/b9nr00275h ↗