Evidence map›Paper›PMID 27517925›Full record

ArticleSensors (Basel, Switzerland)2016

Upconversion Nanoparticle-Based Förster Resonance Energy Transfer for Detecting DNA Methylation.

Seockjune Kim, Sang-Hyun Hwang, Su-Gyeong Im, Min-Ki Lee, Chang-Hun Lee, Sang Jun Son, Heung-Bum Oh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. 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. Review
  3. Review
  4. Article
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.

Seockjune KimDepartment of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul 05505, Korea. sj1kim1@gmail.com.
Sang-Hyun HwangDepartment of Laboratory Medicine, Center for Diagnostic Oncology, Research Institute and Hospital, National Cancer Center, Goyang-si 10408, Korea. mindcatch@ncc.re.kr.
Su-Gyeong ImDepartment of Laboratory Medicine, Center for Diagnostic Oncology, Research Institute and Hospital, National Cancer Center, Goyang-si 10408, Korea. relationship01@ncc.re.kr.
Min-Ki LeeDepartment of Internal Medicine, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 602-739, Korea. leemk@pusan.ac.kr.
Chang-Hun LeeDepartment of Pathology, Pusan National University School of Medicine and Biomedical Research Institute, Pusan National University Hospital, 179 Gudeok-ro, Seo-gu, Busan 602-739, Korea. cnlee@pusan.ac.kr.
Sang Jun SonDepartment of Chemistry, Gachon University, Seongnam, Gyeonggi, and Gachon Medical Research Institute, Gil Medical Center, Inchon 461-701, Korea. triaza@gmail.com.
Heung-Bum OhDepartment of Laboratory Medicine, University of Ulsan College of Medicine and Asan Medical Center, Seoul 05505, Korea. hboh@amc.seoul.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant methylation of a crucial CpG island is the main mechanism for the inactivation of CDKN2A in the early stages of carcinogenesis. Therefore, the detection of DNA methylation with high sensitivity and specificity is important, and various detection methods have been developed. Recently, upconversion nanoparticles (UCNPs) have been found to display a high signal-to-noise ratio and no photobleaching, making them useful for diagnostic applications. In this pilot study, we applied UCNPs to the detection of CDKN2A methylation and evaluated the feasibility of this system for use in molecular diagnostics. DNA PCR was performed using biotinylated primers, and the PCR amplicon was then intercalated with SYTOX Orange dye, followed by incubation with streptavidin-conjugated UCNPs. Fluorescence detection of the Förster resonance energy transfer (FRET) of the UCNPs (MS-UC-FRET) was then performed, and the results were compared to those from real-time PCR (RQ-PCR) and pyrosequencing. Detection by MS-UC-FRET was more sensitive than that by either RQ-PCR or pyrosequencing. Our results confirmed the success of our MS-UC-FRET system for detecting DNA methylation and demonstrated the potential application of this system in molecular diagnostics.

Indexed as

Biosensing TechniquesCarcinogenesisCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18DNA MethylationFluorescenceFluorescence Resonance Energy TransferGoldHumansNanoparticlesPathology, MolecularSignal-To-Noise RatioCDKN2A protein, humanCyclin-Dependent Kinase Inhibitor p16Cyclin-Dependent Kinase Inhibitor p18GoldbiosensingCDKN2ADNA methylationFRETMSPMS-UC-FRETpyrosequencingupconversion nanoparticle

Identifiers

PMID27517925
PMCPMC5017424

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Registered trials

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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.