Evidence map›Paper›PMID 24824876›Full record

ArticleScientific reports2014

Avatar DNA nanohybrid system in chip-on-a-phone.

Dae-Hwan Park, Chang Jo Han, Yong-Gun Shul, Jin-Ho Choy

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

4 authors.

Dae-Hwan Park1] Center for Intelligent NanoBio Materials (CINBM), Department of Chemistry and Nano Science (Ewha Global Top 5 program-2011) and Department of Bioinspired Science, Ewha Womans University, Seoul 120-750, Republic of Korea [2] Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
Chang Jo HanCenter for Intelligent NanoBio Materials (CINBM), Department of Chemistry and Nano Science (Ewha Global Top 5 program-2011) and Department of Bioinspired Science, Ewha Womans University, Seoul 120-750, Republic of Korea.
Yong-Gun ShulDepartment of Chemical and Biomolecular Engineering, Yonsei University, Seoul 120-749, Republic of Korea.
Jin-Ho ChoyCenter for Intelligent NanoBio Materials (CINBM), Department of Chemistry and Nano Science (Ewha Global Top 5 program-2011) and Department of Bioinspired Science, Ewha Womans University, Seoul 120-750, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long admired for informational role and recognition function in multidisciplinary science, DNA nanohybrids have been emerging as ideal materials for molecular nanotechnology and genetic information code. Here, we designed an optical machine-readable DNA icon on microarray, Avatar DNA, for automatic identification and data capture such as Quick Response and ColorZip codes. Avatar icon is made of telepathic DNA-DNA hybrids inscribed on chips, which can be identified by camera of smartphone with application software. Information encoded in base-sequences can be accessed by connecting an off-line icon to an on-line web-server network to provide message, index, or URL from database library. Avatar DNA is then converged with nano-bio-info-cogno science: each building block stands for inorganic nanosheets, nucleotides, digits, and pixels. This convergence could address item-level identification that strengthens supply-chain security for drug counterfeits. It can, therefore, provide molecular-level vision through mobile network to coordinate and integrate data management channels for visual detection and recording.

Indexed as

DNAMicroarray AnalysisNanotechnologySoftwareDNA

Identifiers

PMID24824876
PMCPMC4019957

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.