ReviewMolecular biomedicine2025
Single-cell sequencing and organoids: applications in organ development and disease.
Review in Molecular biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Redox control at the ER-mitochondria interface in kidney transplantation: MAM-centered stress signaling and translational organoid platforms.Redox biology · 2026Review
- Organoid technology in cancer research.Molecular biomedicine · 2026Review
- Dynamic cellular heterogeneity revealed through a time-resolved single-cell atlas: assessment of porcine intestinal organoids as an in vitro model for deoxynivalenol and zearalenone.Journal of animal science and biotechnology · 2026Article
- Integrative Proteomics of Extracellular Vesicles from hiPSC-Derived Cardiac Organoids Reveals Heart Tissue-like Molecular Representativity.International journal of molecular sciences · 2026Article
- Patient-derived organoids in gastric cancer: bridging the tumor microenvironment to functional precision oncology.Frontiers in bioengineering and biotechnology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The integration of single-cell sequencing and organoid technologies has been transformative for biomedical research, enabling investigations of organ development, disease mechanisms, and therapeutic innovation at even finer resolutions. Organoids serve as 3D in vitro models that replicate the structural and functional complexity of human tissues, while single-cell sequencing can resolve cellular heterogeneity, transcriptional dynamics, and lineage trajectories at high resolution. This review systematically explores the synergistic potential of these two technologies across multiple domains. First, it describes their application in studying the developmental mechanisms of organs including the brain, lungs, heart, liver, intestines, and kidneys, revealing key signaling pathways and cellular interaction networks. Then, it details their application in studying in vitro models of various diseases, including neurodegenerative disorders, genetic diseases, infectious diseases, metabolic syndrome, and tumors, advancing the in-depth analysis of pathological mechanisms. By leveraging patient-derived organoid biobanks, combining these two technologies can accelerate drug screening and precision, while utilizing transplantable tissue constructs to pioneer regenerative medicine strategies. This review also highlights the strengths of combining these two technologies in dynamically decoding cellular behavior and communication networks. By constructing physiologically relevant multifunctional research platforms, the integration of single-cell sequencing with organoid models will accelerate the elucidation of disease mechanisms and drive innovative breakthroughs in precision medicine and regenerative medicine. Looking ahead, the deep integration of single-cell sequencing with organoids, combined with cutting-edge technologies such as spatial transcriptomics and gene editing, will continue to propel life sciences toward a transformative leap from descriptive research to mechanism-driven, precision-oriented, and personalized approaches.
Indexed as
Identifiers
What Socratic 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 Socratic graph.