Evidence map›Paper›PMID 22706642›Full record

ArticleNanotechnology2012

Electrical detection of cancer biomarker using aptamers with nanogap break-junctions.

Azhar Ilyas, Waseem Asghar, Peter B Allen, Holli Duhon, Andrew D Ellington, Samir M Iqbal

Abstract read
In one paragraph

Article in Nanotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

17 citing papers in PubMed, 60 citations in OpenAlex.

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  16. Early lung cancer diagnosis by biosensors.International journal of molecular sciences · 2013
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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

6 authors at 2 institutions in 1 country.

Azhar IlyasDepartment of Electrical Engineering, University of Texas at Arlington, Arlington, TX 76011, USA.
Waseem Asghar
Peter B Allen
Holli Duhon
Andrew D Ellington
Samir M Iqbal
The University of Texas at Arlington · USThe University of Texas at Austin · US

Funding

Enzyme Bioreactor for Optimized Production of Modified Nucleic AcidsF32GM095280 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI ALLEN, PETER B · 2010 to 2011
$99k
NIGMS NIH HHS F32 GM095280NIGMS NIH HHS F32-GM095280-02
6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) is a cell surface protein overexpressed in cancerous cells. It is known to be the most common oncogene. EGFR concentration also increases in the serum of cancer patients. The detection of small changes in the concentration of EGFR can be critical for early diagnosis, resulting in better treatment and improved survival rate of cancer patients. This article reports an RNA aptamer based approach to selectively capture EGFR protein and an electrical scheme for its detection. Pairs of gold electrodes with nanometer separation were made through confluence of focused ion beam scratching and electromigration. The aptamer was hybridized to a single stranded DNA molecule, which in turn was immobilized on the SiO(2) surface between the gold nanoelectrodes. The selectivity of the aptamer was demonstrated by using control chips with mutated non-selective aptamer and with no aptamer. Surface functionalization was characterized by optical detection and two orders of magnitude increase in direct current (DC) was measured when selective capture of EGFR occurred. This represents an electronic biosensor for the detection of proteins of interest for medical applications.

Indexed as

MicroelectrodesAptamers, NucleotideBiomarkers, TumorBiosensing TechniquesConductometryEquipment DesignEquipment Failure AnalysisErbB ReceptorsNanotechnologyAptamers, NucleotideBiomarkers, TumorErbB Receptors

Identifiers

PMID22706642
PMCPMC3404891
OpenAlexW2000455722

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.