Evidence map›Paper›PMID 25266702›Full record

ArticleMolecules and cells2014

Identification of DNA aptamers toward epithelial cell adhesion molecule via cell-SELEX.

Ji Won Kim, Eun Young Kim, Sun Young Kim, Sang Kyung Byun, Dasom Lee, Kyoung-Jin Oh, Won Kon Kim, Baek Soo Han, Seung-Wook Chi, Sang Chul Lee and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Molecules and cells, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

23 citing papers in PubMed, 54 citations in OpenAlex.

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  14. Shedding light on the EpCAM: An overview.Journal of cellular physiology · 2019
    Review
  15. Recent Advances in Aptamer Discovery and Applications.Molecules (Basel, Switzerland) · 2019
    Review
  16. Review
  17. Recent Advances in SELEX Technology and Aptamer Applications in Biomedicine.International journal of molecular sciences · 2017
    Review
  18. Review
  19. Article
  20. Review
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

11 authors at 1 institution in 1 country.

Ji Won KimResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea ; Department of Functional Genomics, University of Science and Technology (UST) of Korea, Daejeon 305-806, Korea.
Eun Young KimResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Sun Young KimResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Sang Kyung ByunResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea ; Department of Functional Genomics, University of Science and Technology (UST) of Korea, Daejeon 305-806, Korea.
Dasom LeeResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea ; Department of Functional Genomics, University of Science and Technology (UST) of Korea, Daejeon 305-806, Korea.
Kyoung-Jin OhResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Won Kon KimResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Baek Soo HanResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea ; Department of Functional Genomics, University of Science and Technology (UST) of Korea, Daejeon 305-806, Korea.
Seung-Wook ChiMedical Proteomics Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.
Sang Chul LeeResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea ; Department of Functional Genomics, University of Science and Technology (UST) of Korea, Daejeon 305-806, Korea.
Kwang-Hee BaeResearch Center for Integrated Cellulomics, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea ; Department of Functional Genomics, University of Science and Technology (UST) of Korea, Daejeon 305-806, Korea.
Korea Research Institute of Bioscience and Biotechnology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial cell adhesion molecule (EpCAM, also known as CD326) is a transmembrane glycoprotein that is specifically detected in most adenocarcinomas and cancer stem cells. In this study, we performed a Cell systematic evolution of ligands by exponential enrichment (SELEX) experiment to isolate the aptamers against EpCAM. After seven round of Cell SELEX, we identified several aptamer candidates. Among the selected aptamers, EP166 specifically binds to cells expressing EpCAM with an equilibrium dissociation constant (Kd) in a micromolar range. On the other hand, it did not bind to negative control cells. Moreover, EP166 binds to J1ES cells, a mouse embryonic stem cell line. Therefore, the isolated aptamers against EpCAM could be used as a stem cell marker or in other applications in both stem cell and cancer studies.

Indexed as

AdenocarcinomaAnimalsAntigens, NeoplasmAptamers, NucleotideBiomarkers, TumorCell Adhesion MoleculesCell Line, TumorEmbryonic Stem CellsEpithelial Cell Adhesion MoleculeHep G2 CellsHumansMiceProtein BindingSELEX Aptamer TechniqueAntigens, NeoplasmAptamers, NucleotideBiomarkers, TumorCell Adhesion MoleculesEpithelial Cell Adhesion MoleculeaptamerEpCAMSELEXstem cell marker

Identifiers

PMID25266702
PMCPMC4213765
OpenAlexW2058019279

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.