Evidence map›Paper›PMID 35039502›Full record

ReviewNature communications2022

Synthetic DNA applications in information technology.

Linda C Meiser, Bichlien H Nguyen, Yuan-Jyue Chen, Jeff Nivala, Karin Strauss, Luis Ceze, Robert N Grass

Abstract readReview
In one paragraph

Review in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Highly Ordered DNA Framework Interface Enables Efficient Enzymatic Oligonucleotide Synthesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

7 authors.

Linda C MeiserInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, CH-8093, Zurich, Switzerland.
Bichlien H NguyenMicrosoft Research, Redmond, WA, 98052, USA.
Yuan-Jyue ChenMicrosoft Research, Redmond, WA, 98052, USA.ORCID http://orcid.org/0000-0003-3826-3677
Jeff NivalaPaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, 98195, USA.ORCID http://orcid.org/0000-0002-8210-5417
Karin StraussMicrosoft Research, Redmond, WA, 98052, USA.ORCID http://orcid.org/0000-0002-8327-5477
Luis CezePaul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, 98195, USA. luisceze@cs.washington.edu.ORCID http://orcid.org/0000-0002-1377-6217
Robert N GrassInstitute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, CH-8093, Zurich, Switzerland. rograss@ethz.ch.ORCID http://orcid.org/0000-0001-6968-0823

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Synthetic DNA is a growing alternative to electronic-based technologies in fields such as data storage, product tagging, or signal processing. Its value lies in its characteristic attributes, namely Watson-Crick base pairing, array synthesis, sequencing, toehold displacement and polymerase chain reaction (PCR) capabilities. In this review, we provide an overview of the most prevalent applications of synthetic DNA that could shape the future of information technology. We emphasize the reasons why the biomolecule can be a valuable alternative for conventional electronic-based media, and give insights on where the DNA-analog technology stands with respect to its electronic counterparts.

Indexed as

Information TechnologyDNANeural Networks, ComputerDNA

Identifiers

PMID35039502
PMCPMC8763860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.