Evidence map›Paper›PMID 42568046›Full record

ArticleAdvanced healthcare materials2026

A Fully Defined GelMA-Based Matrix Allows Fine Tuning of Tissue-Relevant Biomechanical and Biochemical Cues for Organoid Culture.

Junyi Liu, Su Su Htwe, Lay Poh Tan, Yen Choo

Abstract read
In one paragraph

Article in Advanced healthcare materials, 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
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0citing papers in PubMed
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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.

Junyi LiuCancer Discovery and Regenerative Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0009-0000-6020-3430
Su Su HtweCancer Discovery and Regenerative Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-0365-3387
Lay Poh TanSchool of Materials Science & Engineering, Nanyang Technological University, Singapore.
Yen ChooCancer Discovery and Regenerative Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.

Funding

Nanyang Technological University Research ScholarshipSingapore Ministry of Education Academic (MOE AcRF) Research Funds Tier1Grant-RG40/24)Singapore Ministry of Education Academic (MOE AcRF) Research Funds (Tier3Grant-021123-00005StemiGen-Lee Kong Chian School of Medicine Regenerative Medicine Research Fund
6 · The paper itself

Abstract

Organoids are powerful models for developmental biology, disease modelling, and personalized medicine. However, their broader application is limited by the inability of extracellular matrix (ECM) hydrogels to mimic the biomechanical and biochemical properties of native tissues. Dependence on poorly-defined basement membrane matrices such as Matrigel-a xenogenic, tumor-derived, nontunable material-introduces organoid growth variability and constrains reproducibility across organoid systems. In this study, we report a fully defined ECM platform that integrates key biomechanical and biochemical features of native tissue to support organoid growth. Using gelatin methacryloyl (GelMA) as a tunable hydrogel backbone, supplemented with laminin-entactin complex, we established a matrix with physiologically relevant stiffness and biochemical composition for mouse small intestinal organoids (mSIOs). The optimized matrix (2% w/v DS95 GelMA with 2 mg mL

Indexed as

Extracellular MatrixGelatinHydrogelsOrganoidsAnimalsCell DifferentiationCell ProliferationCollagenDrug CombinationsIntestine, SmallLamininMethacrylatesMiceProteoglycansCollagenDrug CombinationsGelatingelatin methacryloylHydrogelsLamininmatrigelMethacrylatesProteoglycansextracellular matrixfully‐defined hydrogelgelmaintestineorganoids

Identifiers

PMID42568046
PMCPMC13542860

What OpenQuestion holds

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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.