Evidence map›Paper›PMID 30034758›Full record

ArticleChemical science2016

Applying DNA rolling circle amplification in fluorescence imaging of cell surface glycans labeled by a metabolic method.

Xiaoru Zhang, Ruijuan Li, Yuanyuan Chen, Shusheng Zhang, Wenshuang Wang, Fuchuan Li

Open access · diamondAbstract read
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Article in Chemical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 66 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

6 authors at 4 institutions in 3 countries.

Xiaoru ZhangKey Laboratory of Sensor Analysis of Tumor Marker , Ministry of Education , College of Chemistry and Molecular Engineering , Qingdao University of Science and Technology , Qingdao 266042 , P. R. China.
Ruijuan LiKey Laboratory of Sensor Analysis of Tumor Marker , Ministry of Education , College of Chemistry and Molecular Engineering , Qingdao University of Science and Technology , Qingdao 266042 , P. R. China.
Yuanyuan ChenKey Laboratory of Sensor Analysis of Tumor Marker , Ministry of Education , College of Chemistry and Molecular Engineering , Qingdao University of Science and Technology , Qingdao 266042 , P. R. China.
Shusheng ZhangShandong Province Key Laboratory of Detection Technology for Tumor Makers , College of Chemistry and Chemical Engineering , Linyi University , Linyi 276000 , P. R. China . Email: shushzhang@126.com.
Wenshuang WangNational Glycoengineering Research Center and State Key Laboratory of Microbial Technology , Shandong University , Jinan 250100 , P. R. China . Email: fuchuanli@sdu.edu.cn.
Fuchuan LiNational Glycoengineering Research Center and State Key Laboratory of Microbial Technology , Shandong University , Jinan 250100 , P. R. China . Email: fuchuanli@sdu.edu.cn.
Qingdao Center of Resource Chemistry and New Materials · CNState Key Laboratory of Microbial TechnologyLinyi University · CNQingdao University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycans on the cell surfaces are essential for cellular communication. Metabolically labeling glycans can introduce unnatural sugars into cellular glycans, which can facilitate further labeling. We report herein imaging cell surface glycosylation by using click chemistry and DNA rolling circle amplification (RCA) to improve detection sensitivity. Through the RCA amplification, the image resolution of a cell was significantly improved and much fewer unnatural sugars were used than required previously. The advantage of this method is that it avoids introducing too much unnatural sugar, which can interfere with normal, physiological cell function. Simultaneously, the enhanced fluorescence intensity conveniently facilitates the detection of cells' own biosynthetic glycans by simply using a microplate reader. The results indicate that the metabolically labelling ability is different for different carbohydrates and different cells. Next, the RCA technique was adopted in a fluorescence resonance energy transfer (FRET)-based methodology that facilitated the glycan imaging of specific proteins on the cell surface. This method is broadly applicable to imaging the glycosylation of cellular proteins. Our results highlight the applications of RCA in metabolic glycan labeling, which can be used to monitor the glycosylation status on cells, and study the means by which glycosylation regulates cell function.

Identifiers

PMID30034758
PMCPMC6024553
OpenAlexW2442202961

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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.