Evidence map›Paper›PMID 26459441›Full record

ArticleTalanta2015

Integrated, DC voltage-driven nucleic acid diagnostic platform for real sample analysis: Detection of oral cancer.

Zdenek Slouka, Satyajyoti Senapati, Sunny Shah, Robin Lawler, Zonggao Shi, M Sharon Stack, Hsueh-Chia Chang

Open access · greenAbstract read
In one paragraph

Article in Talanta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  4. Semi-Continuous Desalination and Concentration of Small-Volume Samples.International journal of molecular sciences · 2021
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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

7 authors at 2 institutions in 2 countries.

Zdenek SloukaDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA; Department of Chemical Engineering, University of Chemistry and Technology, Technicka 3, Prague 6 16628, Czech Republic.
Satyajyoti SenapatiDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Sunny ShahDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Robin LawlerDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA.
Zonggao ShiDepartment of Chemistry and Biochemistry and Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA.
M Sharon StackDepartment of Chemistry and Biochemistry and Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA.
Hsueh-Chia ChangDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN 46556, USA. Electronic address: hchang@nd.edu.
University of Notre Dame · USUniversity of Chemistry and Technology, Prague · CZ

Funding

Interaction of uPAR & Integrins in Oral CancerR01CA085870 · NCI · UNIVERSITY OF NOTRE DAME · PI STACK, MARY SHARON · 2001 to 2010
$2.1M
Develop a Multi-Target Sensor to Detect Dengue Serotypes from Infected MosquitoesR21AI105361 · NIAID · UNIVERSITY OF NOTRE DAME · PI SENAPATI, SATYAJYOTI · 2014 to 2015
$418k
NCI NIH HHS R01 CA085870NCI NIH HHS R01CA085870NIAID NIH HHS 1R21AI105361-01A1NIAID NIH HHS R21 AI105361
6 · The paper itself

Abstract

We present an integrated and low-cost microfluidic platform capable of extraction of nucleic acids from real biological samples. We demonstrate the application of this platform in pathogen detection and cancer screening. The integrated platform consists of three units including a pretreatment unit for separation of nucleic acids from lysates, a preconcentration unit for concentration of isolated nucleic acids and a sensing unit localized at a designated position on the chip for specific detection of the target nucleic acid. The platform is based on various electrokinetic phenomena exhibited by ion exchange membranes in a DC electrical field that allow them to serve as molecular filters, analyte preconcentrators and sensors. In this manuscript, we describe each unit of the integrated chip separately and show specific detection of a microRNA (miRNA 146a) biomarker associated with oral cancer as a proof-of-concept experiment. This platform technology can easily be extended to other targets of interest by optimizing the properties of the ion exchange membranes and the specific probes functionalized onto the sensors.

Indexed as

Electric ConductivityLab-On-A-Chip DevicesBiomarkers, TumorMicroRNAsMouth NeoplasmsSystems IntegrationBiomarkers, TumorMicroRNAsElectrokineticsIntegrated platform technologyIon exchange membranesOral cancerPoint-of-care diagnosticsSample-to-answer detection

Identifiers

PMID26459441
PMCPMC4607926
OpenAlexW278780224

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.