Evidence map›Paper›PMID 31511614›Full record

ArticleScientific reports2019

Detection of Gram-negative bacterial outer membrane vesicles using DNA aptamers.

Hye-Su Shin, Vinayakumar Gedi, Joon-Ki Kim, Dong-Ki Lee

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  5. Article
  6. Review
  7. Liquid Biopsy: A Game Changer for Type 2 Diabetes.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Aptamer-based biosensors for the diagnosis of sepsis.Journal of nanobiotechnology · 2021
    Review
  19. Selective Capture and Identification of Methicillin-ResistantInternational journal of molecular sciences · 2021
    Article
  20. 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.

Hye-Su ShinDepartment of Chemistry, Sungkyunkwan University, Suwon, 16419, Korea.
Vinayakumar GediDepartment of Chemistry, Sungkyunkwan University, Suwon, 16419, Korea.
Joon-Ki KimDepartment of Chemistry, Sungkyunkwan University, Suwon, 16419, Korea.
Dong-Ki LeeDepartment of Chemistry, Sungkyunkwan University, Suwon, 16419, Korea. dklee0318@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection of various pathogenic bacteria causes severe illness to human beings. Despite the research advances, current identification tools still exhibit limitations in detecting Gram-negative bacteria with high accuracy. In this study, we isolated single-stranded DNA aptamers against multiple Gram-negative bacterial species using Toggle-cell-SELEX (systemic evolution of ligands by exponential enrichment) and constructed an aptamer-based detection tool towards bacterial secretory cargo released from outer membranes of Gram-negative bacteria. Three Gram-negative bacteria, Escherichia coli DH5α, E. coli K12, and Serratia marcescens, were sequentially incubated with the pool of random DNA sequences at each SELEX loop. Two aptamers selected, GN6 and GN12, were 4.2-times and 3.6-times higher binding to 10

Indexed as

Aptamers, NucleotideBacterial Outer MembraneBase SequenceDNA, Single-StrandedEscherichia coliExtracellular VesiclesGram-Negative BacteriaSELEX Aptamer TechniqueSerratia marcescensAptamers, NucleotideDNA, Single-Stranded

Identifiers

PMID31511614
PMCPMC6739373

What OpenQuestion holds

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Registered trials

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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.