Evidence map›Paper›PMID 32632516›Full record

ArticleAnalytical and bioanalytical chemistry2020

A SERS-colorimetric dual-mode aptasensor for the detection of cancer biomarker MUC1.

Na Li, Shenfei Zong, Yizhi Zhang, Zhile Wang, Yujie Wang, Kai Zhu, Kuo Yang, Zhuyuan Wang, Baoan Chen, Yiping Cui

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 51 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

10 authors at 2 institutions in 1 country.

Na LiAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Shenfei ZongAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Yizhi ZhangAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Zhile WangAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Yujie WangDepartment of Hematology and Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210096, Jiangsu, China.
Kai ZhuAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Kuo YangAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Zhuyuan WangAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China. wangzy@seu.edu.cn.
Baoan ChenDepartment of Hematology and Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, 210096, Jiangsu, China.
Yiping CuiAdvanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Southeast University · CNZhongda Hospital Southeast University · CN

Funding

National Natural Science Foundation of China 61535003National Science Fund for Excellent Young Scholars 61822503State Key Program of National Natural Science Foundation of China 61535003
6 · The paper itself

Abstract

Human mucin-1 (MUC1) has attracted considerable attention owing to its overexpression in diverse malignancies. Here, for the rapid and efficient detection of MUC1, we present a SERS-colorimetric dual-mode aptasensor, by integrating SERS probes with magnetic separation, which has several distinctive advantages. Using such a dual-mode aptasensor, the colorimetric functionality is distinguishable by the naked eye, providing a fast and straightforward screening ability for the detection of MUC1. Moreover, SERS-based detection greatly improves the detection sensitivity, reaching a limit of detection of 0.1 U/mL. In addition, the combination of SERS and colorimetric method holds the advantages of these two techniques and thereby increases the reliability and efficiency of MUC1 detection. On the one hand, the magnetic nanobeads functionalized with MUC1-specific aptamer were utilized as an efficient capturing substrate for separating MUC1 from biological complex medium. On the other hand, the gold-silver core-shell nanoparticles modified with Raman reporters and the complementary sequences of MUC1 were used as the signal indicator, which could simultaneously report the SERS signal and colorimetric change. This strategy can achieve a good detection range and realize MUC1 analysis in real patients' samples. Thus, we anticipate that this kind of aptasensor would provide promising potential applications in the diagnosis and prognosis of cancers. Graphical abstract.

Indexed as

Aptamers, NucleotideBiomarkers, TumorColorimetryHumansMucin-1NeoplasmsPrognosisSpectrum Analysis, RamanAptamers, NucleotideBiomarkers, TumorMUC1 protein, humanMucin-1AptamerAptasensorColorimetryMagnetic nanoparticlesMUC1SERS

Identifiers

PMID32632516
OpenAlexW3039415221

What OpenQuestion holds

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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.