ArticleAdvanced healthcare materials2021
Designing Inherently Photodegradable Cell-Adhesive Hydrogels for 3D Cell Culture.
Article in Advanced healthcare materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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
10 citing papers in PubMed.
- Digital light processing of photoresponsive and programmable hydrogels.Science advances · 2025Article
- A review of 3D bioprinting for organoids.Medical review (2021) · 2025Review
- Rational design matrix materials for organoid development and application in biomedicine.Regenerative biomaterials · 2025Review
- A Thermo-responsive collapse system for controlling heterogeneous cell localization, ratio and interaction for three-dimensional solid tumor modeling.bioRxiv : the preprint server for biology · 2024Article
- Stimuli-Responsive Hydrogels: The Dynamic Smart Biomaterials of Tomorrow.Macromolecules · 2023Review
- Recent advances in defined hydrogels in organoid research.Bioactive materials · 2023Review
- How to build a tumor: An industry perspective.Drug discovery today · 2022Review
- Drug Sensitivity Testing for Cancer Therapy, Key Areas.Reviews on recent clinical trials · 2022Article
- Integrins, cadherins and channels in cartilage mechanotransduction: perspectives for future regeneration strategies.Expert reviews in molecular medicine · 2021Review
- Designing Inherently Photodegradable Cell-Adhesive Hydrogels for 3D Cell Culture.Advanced healthcare materials · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Light-based microfabrication techniques constitute an indispensable approach to fabricate tissue assemblies, benefiting from noncontact spatially and temporarily controlled manipulation of soft matter. Light-triggered degradation of soft materials, such as hydrogels, is important in tissue engineering, bioprinting, and related fields. The photoresponsiveness of hydrogels is generally not intrinsic and requires complex synthetic procedures wherein photoresponsive crosslinking groups are incorporated into the hydrogel. This paper demonstrates a novel biocompatible and inherently photodegradable poly(ethylene glycol) methacrylate (PEGMA)-based gelatin-methacryloyl (GelMA)-containing hydrogel that can be used to culture cells in 3D for at least 14 d. These gels are conveniently and quickly degraded via UV irradiation for 10 min to produce structured hydrogels of various geometries, sizes, and free-standing cell-laden hydrogel particles. These structures can be flexibly produced on demand. In particular, photodegradation can be temporarily delayed from photopolymerization, offering an alternative to hydrogel array production via photopolymerization with a photomask. The paper investigates the influences of hydrogel composition and swelling liquid on both its photodegradability and biocompatibility.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.