ReviewTissue engineering and regenerative medicine2020
Engineering Human Brain Organoids: From Basic Research to Tissue Regeneration.
Review in Tissue engineering and regenerative medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- A beginner's guide on the use of brain organoids for neuroscientists: a systematic review.Stem cell research & therapy · 2023Pooled it
- Molecular and Proteomic Profiling of Human Cerebral Organoid‑Derived Small Extracellular Vesicles.Developmental neurobiology · 2026Article
- Advances in currentFrontiers in bioengineering and biotechnology · 2023Review
- Basic Fibroblast Growth Factor Induces Cholinergic Differentiation of Tonsil-Derived Mesenchymal Stem Cells.Tissue engineering and regenerative medicine · 2022Article
- Graphene-Based Materials for Efficient Neurogenesis.Advances in experimental medicine and biology · 2022Article
- Brain-on-a-Chip: Characterizing the next generation of advancedAPL bioengineering · 2021Article
- Central nervous system tumors and three-dimensional cell biology: Current and future perspectives in modeling.World journal of stem cells · 2021Review
- Applications of Organoids for Tissue Engineering and Regenerative Medicine.Tissue engineering and regenerative medicine · 2020Article
- Conditional reprogramming: Modeling urological cancer and translation to clinics.Clinical and translational medicine · 2020Review
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 at 1 institution in 1 country.
Funding
Abstract
backgroundBrain organoids are self-organized from human pluripotent stem cells and developed into various brain region following the developmental process of brain. Brain organoids provide promising approach for studying brain development process and neurological diseases and for tissue regeneration.
methodsIn this review, we summarized the development of brain organoids technology, potential applications focusing on disease modeling for regeneration medicine, and multidisciplinary approaches to overcome current limitations of the technology.
resultsGenerations of brain organoids are categorized into two major classes by depending on the patterning method. In order to guide the differentiation into specific brain region, the extrinsic factors such as growth factors, small molecules, and biomaterials are actively studied. For better modelling of diseases with brain organoids and clinical application for tissue regeneration, improvement of the brain organoid maturation is one of the most important steps.
conclusionBrain organoids have potential to develop into an innovative platform for pharmacological studies and tissue engineering. However, they are not identical replicas of their in vivo counterpart and there are still a lot of limitations to move forward to clinical applications.
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.