ArticleBulletin of experimental biology and medicine2025
Selection of Optimal Protocol for Decellularization of Extracellular Matrix of Mesenchymal Stromal Cells of Human Umbilical Cord Tissue.
Article in Bulletin of experimental biology and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Critical evaluation of compositions and clinical relevance of Wharton's jelly-derived biologics.Journal of translational medicine · 2026Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To obtain extracellular matrix (ECM) of umbilical cord multipotent mesenchymal stromal cells (UC-MSCs), six decellularization protocols were used, based on physical (freeze/thaw) and chemical (Triton-X100, CHAPS, SDS, and NP-40) methods. The quality of decellularization was assessed using phase-contrast and fluorescence microscopy, quantitative image analysis was performed as well. It was shown that protocols based on CHAPS/NH4OH and Triton X-100/NH4OH are optimal for decellularizing UC-MSC layers and provide high-quality ECM. The SDS-based protocol may be useful when certain requirements to matrix structure are specified. The presented data will be in demand for the development of biomedical products.
Indexed as
Identifiers
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Registered trials
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