Evidence map›Paper›PMID 21636261›Full record

ArticleBiosensors & bioelectronics2011

Reversible thrombin detection by aptamer functionalized STING sensors.

Paolo Actis, Adam Rogers, Jeff Nivala, Boaz Vilozny, R Adam Seger, Olufisayo Jejelowo, Nader Pourmand

Abstract readEvaluation Study
In one paragraph

Article in Biosensors & bioelectronics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Solid-State Nanopores for Biomolecular Analysis and Detection.Advances in biochemical engineering/biotechnology · 2024
    Review
  5. Article
  6. Article
  7. Sensing with Nanopores and Aptamers: A Way Forward.Sensors (Basel, Switzerland) · 2020
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Nanopipette exploring nanoworld.Nano convergence · 2014
    Review
  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

7 authors.

Paolo ActisDepartment of Biomolecular Engineering, University of California Santa Cruz, 1156 High Street, Santa Cruz, CA 95064, USA.
Adam Rogers
Jeff Nivala
Boaz Vilozny
R Adam Seger
Olufisayo Jejelowo
Nader Pourmand

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
NHGRI NIH HHS P01 HG000205NHGRI NIH HHS P01-HG000205
6 · The paper itself

Abstract

Signal Transduction by Ion NanoGating (STING) is a label-free technology based on functionalized quartz nanopipettes. The nanopipette pore can be decorated with a variety of recognition elements and the molecular interaction is transduced via a simple electrochemical system. A STING sensor can be easily and reproducibly fabricated and tailored at the bench starting from inexpensive quartz capillaries. The analytical application of this new biosensing platform, however, was limited due to the difficult correlation between the measured ionic current and the analyte concentration in solution. Here we show that STING sensors functionalized with aptamers allow the quantitative detection of thrombin. The binding of thrombin generates a signal that can be directly correlated to its concentration in the bulk solution.

Indexed as

Aptamers, NucleotideBiosensing TechniquesBlood Chemical AnalysisElectrochemical TechniquesEquipment DesignHumansNanoporesNanotechnologySignal TransductionThrombinAptamers, NucleotideThrombin

Identifiers

PMID21636261
PMCPMC3120900

What OpenQuestion holds

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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.