Evidence map›Paper›PMID 41977122›Full record

ArticleInternational journal of molecular sciences2026

Mechanically Soft Phase-Separated Gelatin/Hyaluronic Acid Hydrogels Support Long-Term Expansion of Human Mesenchymal Stem Cells While Preserving Multipotency.

Atsushi Yamashita, Nunnarpas Yongvongsoontorn, Joo Eun Chung, Motoichi Kurisawa

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2026. 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

4 authors.

Atsushi YamashitaInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, Singapore 138669, Singapore.
Nunnarpas YongvongsoontornGraduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi 923-1292, Ishikawa, Japan.ORCID 0000-0002-8204-3105
Joo Eun ChungGraduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi 923-1292, Ishikawa, Japan.ORCID 0000-0002-2237-4631
Motoichi KurisawaInstitute of Bioengineering and Bioimaging, 31 Biopolis Way, The Nanos, Singapore 138669, Singapore.ORCID 0000-0003-2413-6933

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large-scale expansion of human mesenchymal stem cells (hMSCs) remains a major challenge due to the intrinsic trade-off between cell proliferation and the maintenance of multipotency in conventional culture systems. Stiff substrates, such as tissue culture polystyrene or rigid hydrogels, promote rapid proliferation but induce progressive loss of stemness, whereas very soft matrices preserve multipotency at the expense of cell growth. To overcome this limitation, we developed mechanically soft, phase-separated gelatin-phenol/hyaluronic acid-phenol (Gtn-Ph/HA-Ph) hydrogels with precisely controlled microstructures via enzyme-mediated crosslinking. These hydrogels consist of HA-rich, dot-like domains embedded within a continuous Gtn-rich network, allowing for independent tuning of stiffness and domain architecture. On single-component Gtn-Ph hydrogels, hMSC proliferation increased with substrate stiffness, whereas soft hydrogels with a storage modulus (

Indexed as

GelatinHyaluronic AcidHydrogelsMesenchymal Stem CellsMultipotent Stem CellsCell Culture TechniquesCell DifferentiationCell ProliferationCells, CulturedHumansPhase SeparationGelatinHyaluronic AcidHydrogelsa-smooth muscle actinlong-term expansionmesenchymal stem cellsphase-separated hydrogelssoft substrates

Identifiers

PMID41977122
PMCPMC13073967

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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.