Evidence map›Paper›PMID 33298438›Full record

ArticleScience advances2020

Aerolysin nanopores decode digital information stored in tailored macromolecular analytes.

Chan Cao, Lucien F Krapp, Abdelaziz Al Ouahabi, Niklas F König, Nuria Cirauqui, Aleksandra Radenovic, Jean-François Lutz, Matteo Dal Peraro

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

33 citing papers in PubMed, 99 citations in OpenAlex.

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  19. Rationale in Custom Design of Transmembrane β-Barrel Pores.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  20. Sculpting conducting nanopore size and shape throughbioRxiv : the preprint server for biology · 2023
    Article
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

8 authors at 4 institutions in 3 countries.

Chan CaoInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-2592-0690
Lucien F KrappInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Abdelaziz Al OuahabiUniversité de Strasbourg, Centre national de la recherche scientifique (CNRS), Institute Charles Sadron UPR22, 23 rue du Loess, 67034 Strasbourg Cedex 2, France.
Niklas F KönigUniversité de Strasbourg, Centre national de la recherche scientifique (CNRS), Institute Charles Sadron UPR22, 23 rue du Loess, 67034 Strasbourg Cedex 2, France.ORCID http://orcid.org/0000-0002-9293-3734
Nuria CirauquiInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID http://orcid.org/0000-0003-4752-9916
Aleksandra RadenovicInstitute of Bioengineering, School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland. matteo.dalperaro@epfl.ch aleksandra.radenovic@epfl.ch jflutz@unistra.fr.ORCID http://orcid.org/0000-0001-8194-2785
Jean-François LutzUniversité de Strasbourg, Centre national de la recherche scientifique (CNRS), Institute Charles Sadron UPR22, 23 rue du Loess, 67034 Strasbourg Cedex 2, France. matteo.dalperaro@epfl.ch aleksandra.radenovic@epfl.ch jflutz@unistra.fr.ORCID http://orcid.org/0000-0002-3893-2458
Matteo Dal PeraroInstitute of Bioengineering, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland. matteo.dalperaro@epfl.ch aleksandra.radenovic@epfl.ch jflutz@unistra.fr.ORCID http://orcid.org/0000-0002-2973-3975
Centre National de la Recherche Scientifique · FRSIB Swiss Institute of Bioinformatics · CHÉcole Polytechnique Fédérale de Lausanne · CHUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital data storage is a growing need for our society and finding alternative solutions than those based on silicon or magnetic tapes is a challenge in the era of "big data." The recent development of polymers that can store information at the molecular level has opened up new opportunities for ultrahigh density data storage, long-term archival, anticounterfeiting systems, and molecular cryptography. However, synthetic informational polymers are so far only deciphered by tandem mass spectrometry. In comparison, nanopore technology can be faster, cheaper, nondestructive and provide detection at the single-molecule level; moreover, it can be massively parallelized and miniaturized in portable devices. Here, we demonstrate the ability of engineered aerolysin nanopores to accurately read, with single-bit resolution, the digital information encoded in tailored informational polymers alone and in mixed samples, without compromising information density. These findings open promising possibilities to develop writing-reading technologies to process digital data using a biological-inspired platform.

Identifiers

PMID33298438
PMCPMC7725454
OpenAlexW3111689995

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.