Evidence map›Paper›PMID 22136600›Full record

ArticleACS nano2012

Mapping DNA quantity into electrophoretic mobility through quantum dot nanotethers for high-resolution genetic and epigenetic analysis.

Yi Zhang, Kelvin J Liu, Tian-Li Wang, Ie-Ming Shih, Tza-Huei Wang

Abstract read
In one paragraph

Article in ACS nano, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Yi ZhangDepartment of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA.
Kelvin J Liu
Tian-Li Wang
Ie-Ming Shih
Tza-Huei Wang
Johns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · USJohns Hopkins Medicine · US

Funding

TARGETING EARLY CHANGES FOR NEW SCREENING STRATEGIESP50CA058184 · NCI · JOHNS HOPKINS UNIVERSITY · PI BISWAL, SHYAM · 1992 to 2013
$30.5M
ValidationU54CA151838 · NCI · JOHNS HOPKINS UNIVERSITY · PI MAITRA, ANIRBAN · 2010 to 2014
$11.9M
The Roles of HBXAP Gene in Ovarian CancerR01CA129080 · NCI · JOHNS HOPKINS UNIVERSITY · PI SHIH, IE-MING · 2008 to 2012
$1.7M
Multiplexed Detection of Cell Free DNA Biomarkers for CancerR01CA155305 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2011 to 2015
$1.7M
Nanobiosensing Method for Point Mutation Detection of CancerR21CA120742 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2008 to 2009
$387k
NCI NIH HHS P50 CA058184NCI NIH HHS P50CA058184NCI NIH HHS R01 CA129080NCI NIH HHS R01CA129080NCI NIH HHS R01 CA155305NCI NIH HHS R01CA155305NCI NIH HHS R21 CA120742NCI NIH HHS R21CA120742NCI NIH HHS U54 CA151838NCI NIH HHS U54CA151838
6 · The paper itself

Abstract

Newly discovered nanoparticle properties have driven the development of novel applications and uses. We report a new observation where the electrophoretic mobility of a quantum dot/DNA nanoassembly can be precisely modulated by the degree of surface DNA conjugation. By using streptavidin-coated quantum dots (QDs) as nanotethers to gather biotin-labeled DNA into electrophoretic nanoassemblies, the QD surface charge is modulated and transformed into electrophoretic mobility shifts using standard agarose gel electrophoresis. Typical fluorescent assays quantify based on relative intensity. However, this phenomenon uses a novel approach that accurately maps DNA quantity into shifts in relative band position. This property was applied in a QD-enabled nanoassay called quantum dot electrophoretic mobility shift assay (QEMSA) that enables accurate quantification of DNA targets down to 1.1-fold (9%) changes in quantity, beyond what is achievable in qPCR. In addition to these experimental findings, an analytical model is presented to explain this behavior. Finally, QEMSA was applied to both genetic and epigenetic analysis of cancer. First, it was used to analyze copy number variation (CNV) of the RSF1/HBXAP gene, where conventional approaches for CNV analysis based on comparative genomic hybridization (CGH), microarrays, and qPCR are unable to reliably differentiate less than 2-fold changes in copy number. Then, QEMSA was used for DNA methylation analysis of the p16/CDK2A tumor suppressor gene, where its ability to detect subtle changes in methylation was shown to be superior to that of qPCR.

Indexed as

Quantum DotsDNAElectrophoresisEpigenomicsSequence Analysis, DNASpectrometry, FluorescenceDNA

Identifiers

PMID22136600
PMCPMC3273333
OpenAlexW2039208054

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.