Evidence map›Paper›PMID 19327463›Full record

ArticleAnalytica chimica acta2009

Application and analysis of structure-switching aptamers for small molecule quantification.

Shengnan Xie, S Patrick Walton

Abstract read
In one paragraph

Article in Analytica chimica acta, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Emerging affinity-based techniques in proteomics.Expert review of proteomics · 2009
    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

2 authors.

Shengnan XieApplied Biomolecular Engineering Laboratory, Department of Chemical Engineering and Material Science, Michigan State University, East Lansing, MI 48824, USA.
S Patrick Walton

Funding

Develop a Dynamic Model that Incoporates Text-mining to Reconstruct NetworksR01GM079688 · NIGMS · MICHIGAN STATE UNIVERSITY · PI CHAN, CHRISTINA · 2007 to 2012
$1.2M
Development of a parallel, array-based transcription factor expression assayR21RR024439 · NCRR · MICHIGAN STATE UNIVERSITY · PI WALTON, STEPHEN PATRICK · 2008 to 2010
$540k
Aptamer-based Proteomic Analysis for Cancer SignaturesR21CA126136 · NCI · MICHIGAN STATE UNIVERSITY · PI WALTON, STEPHEN PATRICK · 2006 to 2007
$354k
NCI NIH HHS CA126136NCI NIH HHS R21 CA126136NCRR NIH HHS R21 RR024439NCRR NIH HHS RR024439NIGMS NIH HHS GM079688NIGMS NIH HHS R01 GM079688
6 · The paper itself

Abstract

Modern tools for the analysis of cellular function aim for the quantitative measurement of all members of a given class of biological molecules. Of the analyte classes, nucleic acid measurements are typically the most tractable, both on an individual analyte basis and in parallel. Thus, tools are being sought to enable measurement of other cellular molecules using nucleic acid biosensors. Of the variety of potential nucleic acid biosensor strategies, structure-switching aptamers (SSAs) present a unique opportunity to couple sensing and readout of the target molecule. However, little has been characterized about the parameters that determine the fidelity of the signal from SSA biosensors. In this study, a small molecule biosensor based on a SSA was engineered to detect the model small molecule, theophylline, in solution. Quantitative theophylline detection over nearly three orders-of-magnitude was achieved by scintillation counting and quantitative PCR. Further analysis showed that the biosensor fidelity is primarily controlled by the relative stability of the two conformations of the SSA.

Indexed as

Aptamers, NucleotideBiosensing TechniquesCaffeineNucleic Acid ConformationPolymerase Chain ReactionReproducibility of ResultsSensitivity and SpecificityTheophyllineAptamers, NucleotideCaffeineTheophylline

Identifiers

PMID19327463
PMCPMC2746094

What OpenQuestion holds

Textmetadata
LicenceTDM
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.