Evidence map›Paper›PMID 34493362›Full record

ArticleGene2020

ALCAM (CD166) as a gene expression marker for human mesenchymal stromal cell characterisation.

Bas Brinkhof, Bo Zhang, Zhanfeng Cui, Hua Ye, Hui Wang

Abstract read
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In one paragraph

Article in Gene, 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
–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

13 citing papers in PubMed.

  1. Article
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  7. Review
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  11. Dissecting Heterogeneity Reveals a Unique BAMBIAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  12. Article
  13. Phenotypic characterization of regional human meniscus progenitor cells.Frontiers in bioengineering and biotechnology · 2022
    Article
4 · The record

Corrections and comments

  • Reprint of
    2020
5 · Who and what money

Authors and funding

5 authors.

Bas BrinkhofInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
Bo ZhangInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
Zhanfeng CuiInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
Hua YeInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom. Electronic address: hua.ye@eng.ox.ac.uk.
Hui WangInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom; Oxford Suzhou Centre for Advanced Research, Suzhou Industrial Park, Jiangsu 215123, China. Electronic address: hui.wang@oxford-oscar.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHuman mesenchymal stromal cells (MSCs) phenotypically share their positive expression of the International Society for Cell and Gene Therapy (ISCT) markers CD73, CD90 and CD105 with fibroblasts. Fibroblasts are often co-isolated as an unwanted by-product from biopsy and they can rapidly overgrow the MSCs in culture. Indeed, many other surface markers have been proposed, though no unique MSC specific marker has been identified yet. Quantitative PCR (qPCR) is a precise, efficient and rapid method for gene expression analysis. To identify a marker suitable for accurate MSC characterisation, qPCR was exploited. METHODS AND

resultsTwo commercially obtained bone marrow (BM) derived MSCs and an hTERT immortalised BM-MSC line (MSC-TERT) have been cultured for different days and at different oxygen levels before RNA extraction. Together with RNA samples previous extracted from umbilical cord derived MSCs and MSC-TERT cells cultured in 2D or 3D, this heterogeneous sample set was quantitatively analysed for the expression levels of 18 candidate MSC marker genes. The expression levels in MSCs were compared with the expression levels in fibroblasts to verify the differentiation capability of these genes between MSCs and fibroblasts. None of the ISCT markers could differentiate between fibroblasts and MSCs. A total of six other genes (ALCAM, CLIC1, EDIL3, EPHA2, NECTIN2, and TMEM47) were identified as possible biomarkers for accurate identification of MSCs.

conclusionJustified by considerations on expression level, reliability and specificity, Activated-Leukocyte Cell Adhesion Molecule (ALCAM) was the best candidate for improving the biomarker set of MSC identification.

Indexed as

Activated-Leukocyte Cell Adhesion MoleculeAntigens, CDBiomarkersBone Marrow CellsCalcium-Binding ProteinsCell Adhesion MoleculesCell Adhesion Molecules, NeuronalCell DifferentiationCells, CulturedChloride ChannelsFetal ProteinsFibroblastsGene Expression Regulation, DevelopmentalHumansMembrane ProteinsMesenchymal Stem CellsActivated-Leukocyte Cell Adhesion MoleculeALCAM protein, humanAntigens, CDBiomarkersCalcium-Binding ProteinsCell Adhesion MoleculesCell Adhesion Molecules, NeuronalChloride ChannelsCLIC1 protein, humanEDIL3 protein, humanEPHA2 protein, humanFetal ProteinsMembrane ProteinsNECTIN2 protein, humanNectinsNerve Tissue ProteinsReceptor, EphA2TMEM47 protein, humanActivated-leukocyte cell adhesion moleculeBiomarkerMSCqPCRRegenerative medicineRNA

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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.