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Organoids have emerged as a promising advancement of the two-dimensional (2D) culture systems to improve studies in organogenesis, drug discovery, precision medicine, and regenerative medicine applications. Organoids can self-organize as three-dimensional (3D) tissues derived from stem cells and patient tissues to resemble organs. This chapter presents growth strategies, molecular screening methods, and emerging issues of the organoid platforms. Single-cell and spatial analysis resolve organoid heterogeneity to obtain information about the structural and molecular cellular states. Culture media diversity and varying lab-to-lab practices have resulted in organoid-to-organoid variability in morphology and cell compositions. An essential resource is an organoid atlas that can catalog protocols and standardize data analysis for different organoid types. Molecular profiling of individual cells in organoids and data organization of the organoid landscape will impact biomedical applications from basic science to translational use.
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http://dx.doi.org/10.1007/978-1-0716-3163-8_22 | DOI Listing |
Neurol Res
September 2025
Henan Provincial People's Hospital, Department of Surgery of Spine and Spinal Cord, People's Hospital of Zhengzhou University, Zhengzhou, China.
Background: Immunotherapy holds significant yet underexplored potential for low-grade glioma (LGG) treatment. We therefore interrogated the role of Fanconi Anemia Complementation Group C (FANCC) as a novel immune checkpoint regulator given its spatial correlation with tumor microenvironments and clinical associations with immunosuppressive markers.
Objectives: FANCC is implicated in various tumor progressions; its role in LGG remains unexplored.
J Pathol
September 2025
Department of Biomedical Sciences, Cornell University, Ithaca, NY, USA.
Serous endometrial carcinoma (SEC) is one of the most lethal types of uterine cancer, responsible for about 40% of all endometrial cancer-related deaths. Cell state dynamics during the early stages of SEC remain largely unknown, thereby hindering early detection and treatment of this disease. Here, we provide a comprehensive census of cell types and their states for normal, predysplastic, and dysplastic endometrium in a genetic mouse model of SEC.
View Article and Find Full Text PDFNew Phytol
September 2025
Institute of Plant Biochemistry and Cluster of Excellences on Plant Science (CEPLAS), Heinrich Heine University Düsseldorf, Faculty of Mathematics and Natural Sciences, Düsseldorf, 40225, Germany.
In mammals, blood sugar levels are tightly controlled by two hormones: insulin and glucagon. In flowering plants, a comparable regulatory mechanism exists, mediated by the sugar-signalling molecule trehalose 6-phosphate (Tre6P). Similar to insulin, Tre6P functions as a signal and negative feedback regulator of sucrose, the main transport sugar in vascular plants.
View Article and Find Full Text PDFAnal Chem
September 2025
State Key Laboratory of Analytical Chemistry for Life Science, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing 210023, China.
Deciphering the multicomponent of cell membranes at the single-cell level is critical for understanding pathological mechanisms such as tumor metastasis, yet remains technically daunting due to the membrane's nanoscale thickness and ultralow molecular abundance. Here, we introduce a surface-assisted vacuum ultraviolet laser desorption-ionization mass spectrometry imaging (SAVUVDI-MSI) platform that overcomes long-standing challenges of cytoplasmic interference and insufficient sensitivity. Leveraging the nanoscale depth profiling capability of VUV-LDI, we achieve precise ablation of a single-cell membrane.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
OmnibusXLab, OmnibusX Company Limited, Ho Chi Minh City, Vietnam.
OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters.
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