Evidence map›Paper›PMID 40200691›Full record

ArticleACS sensors2025

Eliminating the Interference of Neighboring Nucleobases in Aerolysin for Nanopore Sequencing.

Axel Camazzola, Elena Buglakova, Louis W Perrin, Verena Rukes, Chan Cao

Abstract read
In one paragraph

Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Axel CamazzolaDepartment of Inorganic and Analytical Chemistry, School of Chemistry and Biochemistry, University of Geneva, Geneva 1205, Switzerland.
Elena BuglakovaCell Biology and Biophysics, European Molecular Biology Laboratory, Heidelberg 69117, Germany.
Louis W PerrinDepartment of Inorganic and Analytical Chemistry, School of Chemistry and Biochemistry, University of Geneva, Geneva 1205, Switzerland.ORCID 0009-0005-5725-927X
Verena RukesDepartment of Inorganic and Analytical Chemistry, School of Chemistry and Biochemistry, University of Geneva, Geneva 1205, Switzerland.ORCID 0009-0008-2704-179X
Chan CaoDepartment of Inorganic and Analytical Chemistry, School of Chemistry and Biochemistry, University of Geneva, Geneva 1205, Switzerland.ORCID 0000-0003-2592-0690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological nanopores have revolutionized DNA sequencing with their incredible advantages of long reads, high throughput, portability, and low material requirement. Despite numerous improvements, base calling remains challenging due to the influence of neighboring nucleobases at the reading site. One direction of development is exploring or designing new nanopores to improve base calling accuracy. Aerolysin is emerging as a powerful candidate, which can identify the subtle differences of detected molecules. However, not many studies focus on translating these advantages into DNA sequencing. Here, we used streptavidin to immobilize ssDNA inside an engineered aerolysin channel, which allows us to investigate its sensing regions, and the neighboring bases influence. By increasing the voltage, we eliminate the neighboring influence and reduce the k-mer size to one nucleobase. These findings hold great potential for improving the accuracy of nanopore DNA sequencing as well as aerolysin nanopore-based sequencing for other polymers.

Indexed as

Bacterial ToxinsNanoporesNanopore SequencingPore Forming Cytotoxic ProteinsSequence Analysis, DNADNA, Single-StrandedStreptavidinaerolysinBacterial ToxinsDNA, Single-StrandedPore Forming Cytotoxic ProteinsStreptavidinaerolysinDNA sequencingnanoporeneighboring influence

Identifiers

PMID40200691
PMCPMC12210254

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.