Evidence map›Paper›PMID 35212544›Full record

ArticleNano letters2022

Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing.

S Kasra Tabatabaei, Bach Pham, Chao Pan, Jingqian Liu, Shubham Chandak, Spencer A Shorkey, Alvaro G Hernandez, Aleksei Aksimentiev, Min Chen, Charles M Schroeder and 1 more

Abstract read
In one paragraph

Article in Nano letters, 2022. 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
–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

33 citing papers in PubMed.

  1. Article
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  10. Barrel expansion of outer membrane protein G nanopore through β-hairpin duplication.Protein science : a publication of the Protein Society · 2025
    Article
  11. Article
  12. Article
  13. DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

11 authors.

S Kasra TabatabaeiCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0001-9369-5873
Bach PhamDepartment of Chemistry, University of Massachusetts at Amherst, Amherst, Massachusetts 01003, United States.
Chao PanDepartment of Electrical and Computer Engineering, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-9275-7072
Jingqian LiuCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.
Shubham ChandakDepartment of Electrical Engineering, Stanford University, Stanford, California 94305, United States.
Spencer A ShorkeyDepartment of Chemistry, University of Massachusetts at Amherst, Amherst, Massachusetts 01003, United States.ORCID 0000-0002-7502-6980
Alvaro G HernandezRoy J. Carver Biotechnology Center, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-6320-1550
Aleksei AksimentievCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-6042-8442
Min ChenDepartment of Chemistry, University of Massachusetts at Amherst, Amherst, Massachusetts 01003, United States.
Charles M SchroederCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0001-6023-2274
Olgica MilenkovicDepartment of Electrical and Computer Engineering, University of Illinois at Urbana─Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0002-1871-4912

Funding

OmpG nanopore for single molecule protein sensingR01GM115442 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI CHEN, MIN · 2016 to 2020
$1.5M
Improving biological nanopores for precision nucleic acid sequencing using a computational microscopeR21HG011741 · NHGRI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI AKSIMENTIEV, ALEKSEI, CHEN, MIN · 2021 to 2023
$625k
NHGRI NIH HHS R21 HG011741NIGMS NIH HHS R01 GM115442
6 · The paper itself

Abstract

DNA is a promising next-generation data storage medium, but challenges remain with synthesis costs and recording latency. Here, we describe a prototype of a DNA data storage system that uses an extended molecular alphabet combining natural and chemically modified nucleotides. Our results show that MspA nanopores can discriminate different combinations and ordered sequences of natural and chemically modified nucleotides in custom-designed oligomers. We further demonstrate single-molecule sequencing of the extended alphabet using a neural network architecture that classifies raw current signals generated by Oxford Nanopore sequencers with an average accuracy exceeding 60% (39× larger than random guessing). Molecular dynamics simulations show that the majority of modified nucleotides lead to only minor perturbations of the DNA double helix. Overall, the extended molecular alphabet may potentially offer a nearly 2-fold increase in storage density and potentially the same order of reduction in the recording latency, thereby enabling new implementations of molecular recorders.

Indexed as

NanoporesData SystemsDNAInformation Storage and RetrievalNeural Networks, ComputerNucleotidesSequence Analysis, DNADNANucleotidesDNA Data StorageNanoporesNeural NetworksSingle-MoleculeUnnatural Nucleotides

Identifiers

PMID35212544
PMCPMC8915253

What OpenQuestion holds

Textmetadata
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.