ReviewProtein & cell2017
Genome engineering of stem cell organoids for disease modeling.
Review in Protein & cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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
16 citing papers in PubMed.
- Real-time sensing-integrated organoid-on-a-chip platforms: Technological progress and emerging biomedical applications.Bioactive materials · 2026Review
- Emerging biotechnologies for engineering liver organoids.Bioactive materials · 2025Review
- Modeling corticotroph deficiency with pituitary organoids supports the functional role ofeLife · 2024Article
- Human retinal organoids with an OPA1 mutation are defective in retinal ganglion cell differentiation and function.Stem cell reports · 2024Article
- Engineered organoids in oral and maxillofacial regeneration.iScience · 2023Review
- Stem cells for organoids.Smart medicine · 2022Review
- Precision medicine journey through omics approach.Journal of diabetes and metabolic disorders · 2022Review
- The Dynamics of Metabolic Characterization in iPSC-Derived Kidney Organoid DifferentiationFrontiers in genetics · 2021Article
- Insights to Heart Development and Cardiac Disease Models Using Pluripotent Stem Cell Derived 3D Organoids.Frontiers in cell and developmental biology · 2021Review
- Stem cell therapy: old challenges and new solutions.Molecular biology reports · 2020Review
- Menstrual blood-derived stem cells: toward therapeutic mechanisms, novel strategies, and future perspectives in the treatment of diseases.Stem cell research & therapy · 2019Review
- Derivation and applications of human hepatocyte-like cells.World journal of stem cells · 2019Review
- Long intergenic noncoding RNAs in cardiovascular diseases: Challenges and strategies for physiological studies and translation.Atherosclerosis · 2019Review
- Disease Modeling Using 3D Organoids Derived from Human Induced Pluripotent Stem Cells.International journal of molecular sciences · 2018Review
- New Turns for High Efficiency Knock-In of Large DNA in Human Pluripotent Stem Cells.Stem cells international · 2018Review
- The use of brain organoids to investigate neural development and disease.Nature reviews. Neuroscience · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine emerges as a new approach that takes into account individual variability. Successful realization of precision medicine requires disease models that are able to incorporate personalized disease information and recapitulate disease development processes at the molecular, cellular and organ levels. With recent development in stem cell field, a variety of tissue organoids can be derived from patient specific pluripotent stem cells and adult stem cells. In combination with the state-of-the-art genome editing tools, organoids can be further engineered to mimic disease-relevant genetic and epigenetic status of a patient. This has therefore enabled a rapid expansion of sophisticated in vitro disease models, offering a unique system for fundamental and biomedical research as well as the development of personalized medicine. Here we summarize some of the latest advances and future perspectives in engineering stem cell organoids for human disease modeling.
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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.