Evidence map›Paper›PMID 39471314›Full record

ArticleNano letters2024

Six-Letter DNA Nanotechnology: Incorporation of

Simon Vecchioni, Yoel P Ohayon, Carina Hernandez, Shuichi Hoshika, Chengde Mao, Steven A Benner, Ruojie Sha

Abstract read
In one paragraph

Article in Nano letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Crystallographic Study of DNA T-Junction via Crystal Engineering.Angewandte Chemie (International ed. in English) · 2025
    Article
  6. 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.

Simon VecchioniDepartment of Chemistry, New York University, New York, New York 10003, United States.
Yoel P OhayonDepartment of Chemistry, New York University, New York, New York 10003, United States.
Carina HernandezDepartment of Chemistry, New York University, New York, New York 10003, United States.
Shuichi HoshikaFoundation for Applied Molecular Evolution, Alachua, Florida 32615, United States.ORCID 0000-0001-9128-1183
Chengde MaoDepartment of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0001-7516-8666
Steven A BennerFoundation for Applied Molecular Evolution, Alachua, Florida 32615, United States.
Ruojie ShaDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0002-0807-734X

Funding

Equipment Supplement to 1R01GM141391-01A1 (Easily Used Kits to Evolve Reagents that Covalently Tag and Inactivate Proteins)R01GM141391 · NIGMS · FOUNDATION FOR APPLIED MOLECULAR EVOLUTN · PI BENNER, STEVEN A · 2021 to 2024
$1.4M
NIGMS NIH HHS R01 GM141391
6 · The paper itself

Abstract

Artificially expanded genetic information systems (AEGIS) were developed to expand the diversity and functionality of biological systems. Recent experiments have shown that these expanded DNA molecular systems are robust platforms for information storage and retrieval as well as useful for basic biotechnologies. In tandem, nucleic acid nanotechnology has seen the use of information-based "semantomorphic" encoding to drive the self-assembly of a vast array of supramolecular devices. To establish the effectiveness of AEGIS toward nanotechnological applications, we investigated the ability of a six-letter alphabet composed of A:T, G:C and synthetic

Indexed as

Base PairingDNANanotechnologyCrystallizationNanostructuresNucleic Acid ConformationDNADNA crystallographyDNA nanotechnologyunnatural base pairsX-ray diffraction

Identifiers

PMID39471314
PMCPMC11566107

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.