Evidence map›Paper›PMID 32550557›Full record

ArticleGene: X2020

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

Open access · hybridAbstract read
In one paragraph

Article in Gene: X, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 54 citations in OpenAlex.

  1. CD126Orphanet journal of rare diseases · 2025
    Article
  2. Review
  3. CD105Breast cancer research : BCR · 2025
    Article
  4. Article
  5. The clinical potential of meniscal progenitor cells.The journal of cartilage & joint preservation · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Eph-Ephrin Signaling Mediates Cross-Talk Within the Bone Microenvironment.Frontiers in cell and developmental biology · 2021
    Review
  19. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

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.
Hui WangInstitute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
University of Oxford · GB

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 (

conclusionJustified by considerations on expression level, reliability and specificity, Activated-Leukocyte Cell Adhesion Molecule (

Indexed as

Activated-leukocyte cell adhesion moleculeAD, adiposeAF, Amniotic FluidALCAM, Activated-Leukocyte Cell Adhesion MoleculeBiomarkerBM, bone marrowBSG, BasiginCD, cluster of differentiationcDNA, DNA complementary to RNACLIC1, chloride intracellular channel 1CLIC4, chloride intracellular channel 4Cq, Quantification cycleDF, Dermal FibroblastsDP, Dental PulpEDIL3, EGF like repeats and discoidin domains 3ENG, EndoglinEPHA2, EPH receptor A2ER, Endoplasmatic ReticulumFACS, Fluorescence Assisted Cell SortingFN1, Fibronectin 1IGFBP7, insulin like growth factor binding protein 7ISCT, International Society for Cell and Gene TherapyITGA1, integrin subunit alpha 1LAMP1, lysosomal associated membrane protein 1LRRC59, leucine rich repeat containing 59MCAM, melanoma cell adhesion moleculeMM, Multiple MyelomaMPC, Mesenchymal Progenitor CellMSCMSC, Mesenchymal Stromal CellsNECTIN2, nectin cell adhesion molecule 2NK, Natural KillerNT5E, 5′-nucleotidase ectoOS, OsteosarcomaPL, PlacentaPPIA, peptidylprolyl isomerase APUM1, pumilio RNA binding family member 1qPCR(q)PCR, (quantitative) polymerase chain reactionRegenerative medicineRM, Regenerative MedicineRNARNA-seq, RNA sequencingRT, Reverse TranscriptaseSEM, Standard Error of the MeanTBP, TATA-box binding proteinTCF, Tissue Culture PlateTE, Tissue EngineeringTFRC, transferrin receptorTHY1, Thy-1 cell surface antigenTLN1, Talin 1TMEM47, transmembrane protein 47UC, umbilical cordYWHAZ, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein zeta

Identifiers

PMID32550557
PMCPMC7285916
OpenAlexW3012056239

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.