Evidence map›Paper›PMID 33261145›Full record

ArticleMolecules (Basel, Switzerland)2020

Development of a CD63 Aptamer for Efficient Cancer Immunochemistry and Immunoaffinity-Based Exosome Isolation.

Zhenguo Song, Jun Mao, Roberto A Barrero, Peng Wang, Fengqiu Zhang, Tao Wang

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
5.3field-weighted citation impact, top 3% 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

54 citing papers in PubMed, 122 citations in OpenAlex.

  1. Isolation of synovial fluid exosomes using phospholipid molecular imprinting technology and discovery of early diagnostic markers for osteoarthritis.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
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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 3 institutions in 2 countries.

Zhenguo SongDepartment of Pharmacy, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou 450008, China.
Jun MaoCollege of Basic Medical Sciences, Dalian Medical University, Dalian 116044, China.
Roberto A BarreroeResearch Office, Division of Research and Innovation, Queensland University of Technology, Brisbane City QLD 4001, Australia.
Peng WangCollege of Nursing and Health, Zhengzhou University, Zhengzhou 450001, China.
Fengqiu ZhangHenan Key Laboratory of Ion-beam Bioengineering, Zhengzhou University, Zhengzhou 450000, China.
Tao WangCollege of Nursing and Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-9623-8800
Zhengzhou University · CNDalian Medical University · CNQueensland University of Technology · AU

Funding

National Natural Science Foundation of China No.81773175 and No.11704343
6 · The paper itself

Abstract

CD63, a member of transmembrane-4-superfamily of tetraspanin proteins and a highly N-glycosylated type III lysosomal membrane protein, is known to regulate malignancy of various types of cancers such as melanoma and breast cancer and serves as a potential marker for cancer detection. Recently, its important role as a classic exosome marker was also emphasized. In this work, via using a magnetic bead-based competitive SELEX (systematic evolution of ligands by exponential enrichment) procedure and introducing a 0.5M NaCl as elution buffer, we identified two DNA aptamers (CD63-1 and CD63-2) with high affinity and specificity to CD63 protein (

Indexed as

Aptamers, NucleotideBreast NeoplasmsChromatography, AffinityExosomesFemaleHumansImmunoenzyme TechniquesSELEX Aptamer TechniqueTetraspanin 30Tumor Cells, CulturedAptamers, NucleotideCD63 protein, humanTetraspanin 30aptamerbreast cancercancerCD63exosomeSELEX

Identifiers

PMID33261145
PMCPMC7730289
OpenAlexW3108965324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.