Evidence map›Paper›PMID 31824825›Full record

ArticleTissue engineering and regenerative medicine2019

Optimization of Microenvironments Inducing Differentiation of Tonsil-Derived Mesenchymal Stem Cells into Endothelial Cell-Like Cells.

Se-Young Oh, Da Hyeon Choi, Yoon Mi Jin, Yeonsil Yu, Ha Yeong Kim, Gyungah Kim, Yoon Shin Park, Inho Jo

Open access · greenAbstract read
In one paragraph

Article in Tissue engineering and regenerative medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 10 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

8 authors at 2 institutions in 1 country.

Se-Young Oh *1Department of Molecular Medicine, College of Medicine, Ewha Womans University, 260 Gonghang-daero, Gangseo-gu Seoul, 07804 Republic of Korea.ORCID 0000-0002-9422-1079
Da Hyeon Choi *3School of Biological Sciences, College of Natural Sciences, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644 Republic of Korea.
Yoon Mi Jin1Department of Molecular Medicine, College of Medicine, Ewha Womans University, 260 Gonghang-daero, Gangseo-gu Seoul, 07804 Republic of Korea.
Yeonsil Yu1Department of Molecular Medicine, College of Medicine, Ewha Womans University, 260 Gonghang-daero, Gangseo-gu Seoul, 07804 Republic of Korea.
Ha Yeong Kim1Department of Molecular Medicine, College of Medicine, Ewha Womans University, 260 Gonghang-daero, Gangseo-gu Seoul, 07804 Republic of Korea.
Gyungah Kim1Department of Molecular Medicine, College of Medicine, Ewha Womans University, 260 Gonghang-daero, Gangseo-gu Seoul, 07804 Republic of Korea.
Yoon Shin Park3School of Biological Sciences, College of Natural Sciences, Chungbuk National University, Chungdae-ro 1, Seowon-Gu, Cheongju, Chungbuk 28644 Republic of Korea.
Inho Jo1Department of Molecular Medicine, College of Medicine, Ewha Womans University, 260 Gonghang-daero, Gangseo-gu Seoul, 07804 Republic of Korea.ORCID 0000-0001-6060-6416
Ewha Womans University · KRChungbuk National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stem cell engineering is appealing consideration for regenerating damaged endothelial cells (ECs) because stem cells can differentiate into EC-like cells. In this study, we demonstrate that tonsil-derived mesenchymal stem cells (TMSCs) can differentiate into EC-like cells under optimal physiochemical microenvironments. Methods: TMSCs were preconditioned with Dulbecco's Modified Eagle Medium (DMEM) or EC growth medium (EGM) for 4 days and then replating them on Matrigel to observe the formation of a capillary-like network under light microscope. Microarray, quantitative real time polymerase chain reaction, Western blotting and immunofluorescence analyses were used to evaluate the expression of gene and protein of EC-related markers. Results: Preconditioning TMSCs in EGM for 4 days and then replating them on Matrigel induced the formation of a capillary-like network in 3 h, but TMSCs preconditioned with DMEM did not form such a network. Genome analyses confirmed that EGM preconditioning significantly affected the expression of genes related to angiogenesis, blood vessel morphogenesis and development, and vascular development. Western blot analyses revealed that EGM preconditioning with gelatin coating induced the expression of endothelial nitric oxide synthase (eNOS), a mature EC-specific marker, as well as phosphorylated Akt at serine 473, a signaling molecule related to eNOS activation. Gelatin-coating during EGM preconditioning further enhanced the stability of the capillary-like network, and also resulted in the network more closely resembled to those observed in human umbilical vein endothelial cells. Conclusion: This study suggests that under specific conditions, i.e., EGM preconditioning with gelatin coating for 4 days followed by Matrigel, TMSCs could be a source of generating endothelial cells for treating vascular dysfunction.

Indexed as

Cell DifferentiationCells, CulturedCollagenCulture Media, ConditionedDrug CombinationsGelatinGene Expression RegulationHumansHuman Umbilical Vein Endothelial CellsLamininMesenchymal Stem CellsNitric Oxide Synthase Type IIIPalatine TonsilPhosphorylationProteoglycansProto-Oncogene Proteins c-aktCollagenCulture Media, ConditionedDrug CombinationsGelatinLamininmatrigelNitric Oxide Synthase Type IIIProteoglycansProto-Oncogene Proteins c-aktVascular Endothelial Growth Factor ADifferentiationEndothelial cellsMesenchymal stem cellsMicroenvironmentsTonsils

Identifiers

PMID31824825
PMCPMC6879685
OpenAlexW2987194657

What OpenQuestion holds

Textmetadata
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.