Evidence map›Paper›PMID 27298347›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Highly specific SNP detection using 2D graphene electronics and DNA strand displacement.

Michael T Hwang, Preston B Landon, Joon Lee, Duyoung Choi, Alexander H Mo, Gennadi Glinsky, Ratnesh Lal

Abstract readEvaluation Study
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

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  10. Rapid self-test of unprocessed viruses of SARS-CoV-2 and its variants in saliva by portable wireless graphene biosensor.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  19. VLSI Structures for DNA Sequencing-A Survey.Bioengineering (Basel, Switzerland) · 2020
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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.

Michael T HwangMaterials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093;
Preston B LandonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093; Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, CA 92093;
Joon LeeMaterials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093;
Duyoung ChoiMaterials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093;
Alexander H MoMaterials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093;
Gennadi GlinskyInstitute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093.
Ratnesh LalMaterials Science and Engineering Program, University of California, San Diego, La Jolla, CA 92093; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093; Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, CA 92093; Institute of Engineering in Medicine, University of California, San Diego, La Jolla, CA 92093 rlal@ucsd.edu.

Funding

Designing an Integrated Nanoscale System for Ion Channel Structure-Function StudyR01DA025296 · NIDA · UNIVERSITY OF CHICAGO · PI LAL, RATNESHWAR · 2008 to 2013
$1.7M
Structure, Activity & Physiological Role of HemichannelsR01DA024871 · NIDA · UNIVERSITY OF CHICAGO · PI LAL, RATNESHWAR · 2008 to 2012
$1.5M
NIDA NIH HHS R01 DA024871NIDA NIH HHS R01 DA025296
6 · The paper itself

Abstract

Single-nucleotide polymorphisms (SNPs) in a gene sequence are markers for a variety of human diseases. Detection of SNPs with high specificity and sensitivity is essential for effective practical implementation of personalized medicine. Current DNA sequencing, including SNP detection, primarily uses enzyme-based methods or fluorophore-labeled assays that are time-consuming, need laboratory-scale settings, and are expensive. Previously reported electrical charge-based SNP detectors have insufficient specificity and accuracy, limiting their effectiveness. Here, we demonstrate the use of a DNA strand displacement-based probe on a graphene field effect transistor (FET) for high-specificity, single-nucleotide mismatch detection. The single mismatch was detected by measuring strand displacement-induced resistance (and hence current) change and Dirac point shift in a graphene FET. SNP detection in large double-helix DNA strands (e.g., 47 nt) minimize false-positive results. Our electrical sensor-based SNP detection technology, without labeling and without apparent cross-hybridization artifacts, would allow fast, sensitive, and portable SNP detection with single-nucleotide resolution. The technology will have a wide range of applications in digital and implantable biosensors and high-throughput DNA genotyping, with transformative implications for personalized medicine.

Indexed as

Polymorphism, Single NucleotideBiosensing TechniquesDNAGenotypeGraphiteHumansDNAGraphitebioelectronicsDNA strand displacementelectrical biosensorgraphene FET DNA sensorSNP detection

Identifiers

PMID27298347
PMCPMC4932965

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.