Gastric patient-derived organoids (PDOs) offer a unique tool for studying gastric biology and pathology. Consequently, these PDOs find increasing use in a wide array of research applications. However, a shortage of published approaches exists for producing gastric PDOs from single-cell digests while maintaining a standardized initial cell seeding density. In this protocol, the emphasis is on the initiation of gastric organoids from isolated single cells and the provision of a method for passaging organoids through fragmentation. Importantly, the protocol demonstrates that a standardized approach to the initial cell seeding density consistently yields gastric organoids from benign biopsy tissue and allows for standardized quantification of organoid growth. Finally, evidence supports the novel observation that gastric PDOs display varying rates of formation and growth based on whether the organoids originate from biopsies of the body or antral regions of the stomach. Specifically, it is revealed that the use of antral biopsy tissue for organoid initiation results in a greater number of organoids formed and more rapid organoid growth over a 20-day period when compared to organoids generated from biopsies of the gastric body. The protocol described herein offers investigators a timely and reproducible method for successfully generating and working with gastric PDOs.
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http://dx.doi.org/10.3791/66094 | DOI Listing |
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January 2025
Department of Surgical Oncology and General Surgery Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
Current in vitro models for gastric cancer research, such as 2D cell cultures and organoid systems, often fail to replicate the complex extracellular matrix (ECM) found in vivo. For the first time, this study utilizes a gelatin methacryloyl (GelMA) hydrogel, a biomimetic ECM-like material, in 3D bioprinting to construct a physiologically relevant gastric cancer model. GelMA's tunable mechanical properties allow for the precise manipulation of cellular behavior within physiological ranges.
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Department of Pharmacology, Maharana Pratap College of Pharmacy kanpur Uttar Pradesh, 209217, India.
Gastrointestinal (GI) cancer represent significant health challenges, affecting the digestive system with often subtle symptoms that can delay diagnosis. GI cancers account for a higher global mortality rate than any other cancer, largely due to the limited availability of highly effective treatment options." Due to next-generation sequencing and new preclinical model tools, that we have learned more regarding its pathophysiology and molecular changes.
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January 2025
Guangzhou National Laboratory, Guangzhou, 510005, China.
Organoid technology provides a transformative approach to understand human physiology and pathology, offering valuable insights for scientific research and therapeutic development. Human gastric organoids, in particular, have gained significant interest for applications in disease modeling, drug discovery, and studies of tissue regeneration and homeostasis. However, the lack of standardized quality control has limited their extensive clinical applications.
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January 2025
Digestive Diseases Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong 518107, China; The Biobank, Scientific Research Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, Guangdong 518107, China. Electronic address:
Diffuse gastric adenocarcinoma (DGAC) is an aggressive malignancy with limited therapeutic options, poor prognosis, and poorly understood biology. CRACD, an actin polymerization regulator, is often inactivated in gastric cancer, including DGAC. We found that genetic engineering of murine gastric organoids with ablation combined with mutation and loss induced aberrant cell plasticity, hyperproliferation, and hypermucinosis, the features that recapitulate DGAC transcriptional signatures.
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