Evidence map›Paper›PMID 39404381›Full record

ArticleCells2024

Alternative Ways to Obtain Human Mesenchymal Stem Cells from Embryonic Stem Cells.

Nikita Onyanov, Olga Glazova, Nawar Sakr, Tatyana Krokunova, Julia Krupinova, Pavel Volchkov

Abstract read
In one paragraph

Article in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Nikita OnyanovMoscow Center for Advanced Studies, Kulakova Str. 20, Moscow 123592, Russia.ORCID 0000-0001-7563-097X
Olga GlazovaFederal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, Moscow 125315, Russia.ORCID 0000-0001-7199-1866
Nawar SakrFederal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, Moscow 125315, Russia.ORCID 0000-0003-0768-4401
Tatyana KrokunovaMoscow Center for Advanced Studies, Kulakova Str. 20, Moscow 123592, Russia.
Julia KrupinovaFederal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, Moscow 125315, Russia.ORCID 0000-0001-7963-5022
Pavel VolchkovFederal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies, Moscow 125315, Russia.

Funding

Ministry of Science and Higher Education of the Russian Federation #FGFG-2024-0004, agreement #075-03-2024-323/3Russian Science Foundation № 23-64-00002
6 · The paper itself

Abstract

Differentiation approaches to obtain mesenchymal stem cells (MSCs) have gradually developed over the last few decades. The problem is that different protocols give different MSC types, making further research difficult. Here, we tried three different approaches to differentiate embryonic stem cells (ESCs) from early mesoderm to MSCs using serum-containing or xeno-free differentiation medium and observed differences in the cells' morphology, doubling rate, ability to form colonies, surface marker analysis, and multilineage differentiation potential of the obtained cell lines. We concluded that the xeno-free medium best fits the criteria of MSCs' morphology, growth kinetics, and surface marker characterization. In contrast, the serum-containing medium gives better potential for further MSC differentiation into osteogenic, chondrogenic, and adipogenic lineages.

Indexed as

Cytological TechniquesEmbryonic Stem CellsMesenchymal Stem CellsCell Culture TechniquesCell DifferentiationHumansMesodermPluripotent Stem CellsdifferentiationmesodermMSCsstem cell

Identifiers

PMID39404381
PMCPMC11476410

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.