Three-dimensional Tissue Culture Research Articles

MODL-11. LOW-GRADE GLIOMA 3D PATIENT-DERIVED ORGANOID PLATFORM AS TRANSFORMATIVE TOOL FOR TUMOR BIOLOGY AND TRANSLATIONAL RESEARCH

Abstract Unlike many high-grade tumors, low-grade glioma (LGG) has faced challenges in advancing scientific and clinical breakthroughs, affected by the limited capacity to develop representative preclinical tumor models. Major barriers to establishing traditional LGG cell culture systems have been cellular senescence and the need to introduce additional genetic modifications to obtain cultured growth. Such LGG models, while extremely valuable, require extensive periods for development and result in clonally selected lines which may not present the complexity of LGG tumor biology. To mitigate such challenges in LGG model development and address the need for three-dimensional tissue cultures, we have successfully generated organoids from fresh tissue specimens obtained from surgical resection. We have demonstrated success of this method on various pediatric brain tumor histologies and have expanded these approaches successfully to LGG. Through such efforts, we have developed 14 LGG tumors’ organoid models as well as other low-grade tumor’s models such as craniopharyngioma, schwannoma, meningioma, optic glioma, and oligodendroglioma. The tissue was processed immediately post-extraction and cultured in media solution on rotating platform. Organoid growth was observed within 1-3 weeks of initiation and tested for growth for up to 3 months. Phenotypic analysis revealed organoid cell composition representing clinical histology. The immune component was preserved in organoids for up to 40 days. MAPK pathway activity, a hallmark marker for KIAA-BRAF fusion positive pilocytic astrocytoma was preserved for up to 4 weeks. Our successful deployment of three-dimensional patient-tissue derived organoids provides for an efficient, simple workflow for the generation of unique and transformative preclinical models for the LGG field. Supported by the Children’s Brain Tumor network’s open science model, 3D organoids will provide investigations with broader resources for LGG tumor biology preclinical testing and support translational studies on behalf of the development of novel clinical trials.

The influence of viscosity of hydrogels on the spreading and migration of cells in 3D bioprinted skin cancer models.

Various in vitro three-dimensional (3D) tissue culture models of human and diseased skin exist. Nevertheless, there is still room for the development and improvement of 3D bioprinted skin cancer models. The need for reproducible bioprinting methods, cell samples, biomaterial inks, and bioinks is becoming increasingly important. The influence of the viscosity of hydrogels on the spreading and migration of most types of cancer cells is well studied. There are however limited studies on the influence of viscosity on the spreading and migration of cells in 3D bioprinted skin cancer models. In this review, we will outline the importance of studying the various types of skin cancers by using 3D cell culture models. We will provide an overview of the advantages and disadvantages of the various 3D bioprinting technologies. We will emphasize how the viscosity of hydrogels relates to the spreading and migration of cancer cells. Lastly, we will give an overview of the specific studies on cell migration and spreading in 3D bioprinted skin cancer models.

Lung Organoids: Systematic Review of Recent Advancements and its Future Perspectives.

Organoids are essentially an in vitro (lab-grown) three-dimensional tissue culture system model that meticulously replicates the structure and physiology of human organs. A few of the present applications of organoids are in the basic biological research area, molecular medicine and pharmaceutical drug testing. Organoids are crucial in connecting the gap between animal models and human clinical trials during the drug discovery process, which significantly lowers the time duration and cost associated with each stage of testing. Likewise, they can be used to understand cell-to-cell interactions, a crucial aspect of tissue biology and regeneration, and to model disease pathogenesis at various stages of thedisease. Lung organoids can be utilized to explore numerous pathophysiological activities of a lung since they share similarities with its function. Researchers have been trying to recreate the complex nature of the lung by developing various "Lung organoids" models.This article is a systematic review of various developments of lung organoids and their potential progenitors. It also covers the in-depth applications of lung organoids for the advancement of translational research. The review discusses the methodologies to establish different types of lung organoids for studying the regenerative capability of the respiratory system and comprehending various respiratory diseases.Respiratory diseases are among the most common worldwide, and the growing burden must be addressed instantaneously.Lung organoids along with diverse bio-engineering tools and technologies will serve as a novel model for studying thepathophysiology of various respiratory diseasesand fordrug screening purposes.

Non-small cell lung cancer organoids: Advances and challenges in current applications.

Lung cancer is emerging as a common malignancy worldwide, with non-small cell lung cancer (NSCLC) accounting for approximately 85% of all cases. Two-dimensional (2D) in vitro cell line cultures and animal models are currently used to study NSCLC. However, 2D cell cultures fail to replicate the medication response and neoplastic heterogeneity of parental tumors. Animal models are expensive and require lengthy modeling cycles. The generation of in vitro three-dimensional (3D) tissue cultures called organoids, which exhibit multicellular, anatomical, and functional properties of real organs, is now achievable owing to advancements in stem cell culturing. The genetic, proteomic, morphological, and pharmacological characteristics of tumors are largely preserved in tumor organoids grown in vitro. The design and physiology of human organs can be precisely reconstructed in tumor organoids, opening new possibilities for complementing the use of animal models and studying human diseases. This review summarizes the development of NSCLC organoids and their applications in basic research, drug testing, immunotherapy, and individualized treatments.

Metabolic reprogramming driven by EZH2 inhibition depends on cell–matrix interactions

EZH2 (Enhancer of Zeste Homolog 2), a subunit of Polycomb Repressive Complex 2 (PRC2), catalyzes the trimethylation of histone H3 at lysine 27 (H3K27me3), which represses expression of genes. It also has PRC2-independent functions, including transcriptional coactivation of oncogenes, and is frequently overexpressed in lung cancers. Clinically, EZH2 inhibition can be achieved with the FDA-approved drug EPZ-6438 (tazemetostat). To realize the full potential of EZH2 blockade, it is critical to understand how cell-cell/cell-matrix interactions present in three-dimensional (3D) tissue and cell culture systems influences this blockade in terms of growth-related metabolic functions. Here, we show that EZH2 suppression reduced growth of human lung adenocarcinoma A549 cells in two-dimensional (2D) cultures but stimulated growth in 3D culture. To understand the metabolic underpinnings, we employed [13C6]-glucose Stable Isotope-Resolved Metabolomics (SIRM) to determine the effect of EZH2 suppression on metabolic networks in 2D versus 3D A549 cultures. The Krebs cycle, neoribogenesis, γ-aminobutyrate (GAB) metabolism, and salvage synthesis of purine nucleotides were activated by EZH2 suppression in 3D spheroids but not in 2D cells, consistent with the growth effect. Using simultaneous 2H7-glucose + 13C5,15N2-Gln tracers and EPZ-6438 inhibition of H3 trimethylation, we delineated the effects on the Krebs cycle, γ-aminobutyrate metabolism, gluconeogenesis, and purine salvage to be PRC2 dependent. Furthermore, the growth/metabolic effects differed for mouse Matrigel versus self-produced A549 extracellular matrix. Thus, our findings highlight the importance of the presence and nature of extracellular matrix in studying the function of EZH2 and its inhibitors in cancer cells for modeling the in vivo outcomes.

Lung cancer organoids: models for preclinical research and precision medicine

Lung cancer is a malignancy with high incidence and mortality rates globally, and it has a 5-year survival rate of only 10%–20%. The significant heterogeneity in clinical presentation, histological features, multi-omics findings, and drug sensitivity among different lung cancer patients necessitate the development of personalized treatment strategies. The current precision medicine for lung cancer, primarily based on pathological and genomic multi-omics testing, fails to meet the needs of patients with clinically refractory lung cancer. Lung cancer organoids (LCOs) are derived from tumor cells within tumor tissues and are generated through three-dimensional tissue culture, enabling them to faithfully recapitulate in vivo tumor characteristics and heterogeneity. The establishment of a series of LCOs biobanks offers promising platforms for efficient screening and identification of novel targets for anti-tumor drug discovery. Moreover, LCOs provide supplementary decision-making factors to enhance the current precision medicine for lung cancer, thereby addressing the limitations associated with pathology-guided approaches in managing refractory lung cancer. This article presents a comprehensive review on the construction methods and potential applications of LCOs in both preclinical and clinical research. It highlights the significance of LCOs in biomarker exploration, drug resistance investigation, target identification, clinical precision drug screening, as well as microfluidic technology-based high-throughput drug screening strategies. Additionally, it discusses the current limitations and future prospects of this field.

P10.01.A A PATIENT-DERIVEDEX VIVO ORGANOID MODEL ALLOWS EVALUATION OF TUMOR TREATING FIELDS (TTFIELDS) EFFECTS ON GLIOBLASTOMA, ANAPLASTIC EPENDYMOMA AND OLIGODENDROGLIOMA SAMPLES

Abstract BACKGROUND The use of TTFields, which are alternating electric fields of low intensity (1-3 V/cm) and intermediate frequency (100-500 kHz), has shown its clinical efficacy in the treatment of newly diagnosed glioblastoma (GBM) patients at 200 kHz. Nevertheless, more knowledge is required for the prediction of individual tumors’ responsiveness to treatment. Recently, we developed patient-derived three-dimensional GBM tissue culture models to screen patient tumors for TTFields treatment susceptibility. Here, we extended these models to brain tumors beyond GBM, namely anaplastic ependymoma (AE) and oligodendroglioma. We cultured tumor-organoids as microtumors on murine organotypic hippocampal slice cultures (OHSCs) and subjected them to TTFields at 200 kHz. MATERIAL AND METHODS We prepared OHSCs by slicing the brains of mice 5-8 days postpartum to a thickness of 350 µm using a vibratome and culturing them for 14 days. We obtained organoids from freshly resected tumor tissue from three GBM, one AE, and one oligodendroglioma patient, each. The organoids were cultured for 14 days as well and then stained with carboxyfluorescein succinimidyl ester. Next, we placed the organoids onto the OHSCs and administered TTFields at 200 kHz and 1.5 V/cm for 72 h using the inovitro™ laboratory research system. We quantified microtumor growth by fluorescence imaging. RESULTS The three tumor entities, in particular organoids from GBM, AE and oligodendroglioma, grew as microtumors after being placed onto OHSCs. TTFields treatment at 200 kHz led to significantly decreased microtumor size of the three analysed GBM samples as well as the AE sample. However, the oligodendroglioma microtumor size was not significantly reduced. CONCLUSION Based on clinical experience, we expected that TTFields lead to a reduction in microtumor size. However, to our knowledge, we were the first to apply TTFields to patient-derived AE and oligodendroglioma samples. The lack of TTFields-effects on the latter might be due to different inter-patient sensitivity or suboptimal TTFields frequency. Nevertheless, our work is proof of principle that an organoid-based patient-derived 3D tissue culture model could be used to evaluate effects of TTFields on different brain tumor entities.

Preclinical Testing Techniques: Paving the Way for New Oncology Screening Approaches.

Prior to clinical trials, preclinical testing of oncology drug candidates is performed by evaluating drug candidates with in vitro and in vivo platforms. For in vivo testing, animal models are used to evaluate the toxicity and efficacy of drug candidates. However, animal models often display poor translational results as many drugs that pass preclinical testing fail when tested with humans, with oncology drugs exhibiting especially poor acceptance rates. The FDA Modernization Act 2.0 promotes alternative preclinical testing techniques, presenting the opportunity to use higher complexity in vitro models as an alternative to in vivo testing, including three-dimensional (3D) cell culture models. Three-dimensional tissue cultures address many of the shortcomings of 2D cultures by more closely replicating the tumour microenvironment through a combination of physiologically relevant drug diffusion, paracrine signalling, cellular phenotype, and vascularization that can better mimic native human tissue. This review will discuss the common forms of 3D cell culture, including cell spheroids, organoids, organs-on-a-chip, and 3D bioprinted tissues. Their advantages and limitations will be presented, aiming to discuss the use of these 3D models to accurately represent human tissue and as an alternative to animal testing. The use of 3D culture platforms for preclinical drug development is expected to accelerate as these platforms continue to improve in complexity, reliability, and translational predictivity.

The antiviral effects of a MEK1/2 inhibitor promote tumor regression in a preclinical model of human papillomavirus infection-induced tumorigenesis

Human papillomaviruses (HPVs) are a significant public health concern due to their widespread transmission, morbidity, and oncogenic potential. Despite efficacious vaccines, millions of unvaccinated individuals and those with existing infections will develop HPV-related diseases for the next two decades and beyond. The continuing burden of HPV-related diseases is exacerbated by the lack of effective therapies or cures for infections, highlighting the need to identify and develop antivirals. The experimental murine papillomavirus type 1 (MmuPV1) model provides opportunities to study papillomavirus pathogenesis in cutaneous epithelium, the oral cavity, and the anogenital tract. However, to date the MmuPV1 infection model has not been used to demonstrate the effectiveness of potential antivirals. We previously reported that inhibitors of cellular MEK/ERK signaling suppress oncogenic HPV early gene expression in three-dimensional tissue cultures. Herein, we adapted the MmuPV1 infection model to determine whether MEK inhibitors have anti-papillomavirus properties in vivo. We demonstrate that oral delivery of a MEK1/2 inhibitor promotes papilloma regression in immunodeficient mice that otherwise would have developed persistent infections. Quantitative histological analyses reveal that inhibition of MEK/ERK signaling reduces E6/E7 mRNA, MmuPV1 DNA, and L1 protein expression within MmuPV1-induced lesions. These data suggest that MEK1/2 signaling is essential for both early and late MmuPV1 replication events supporting our previous findings with oncogenic HPVs. We also provide evidence that MEK inhibitors protect mice from developing secondary tumors. Thus, our data suggest that MEK inhibitors have potent antiviral and anti-tumor properties in a preclinical mouse model and merit further investigation as papillomavirus antiviral therapies.

BIOL-21. PATIENT-DERIVED, THREE-DIMENSIONAL ORGANOID PLATFORM FOR PEDIATRIC BRAIN TUMOR MODELING AND THERAPEUTIC TESTING

Abstract Brain tumors are the leading cause of cancer-related death in children. An important hurdle to scientific and clinical progress in the field has been the limited availability of preclinical tumor models. In recent years, the Children’s Brain Tumor Network (CBTN) has accelerated the development of patient-derived cell lines and xenografts, offering these resources to the community through open-source access. While these models are extremely valuable, their development process can be lengthy and result in clonally selected lines which presents a challenge for studying complex tumor biology. To address the need for three-dimensional tissue culture, our group in conjunction with CBTN, generates organoids from fresh tissue specimens obtained directly from surgical resection. This effort resulted in numerous organoid models generated for high-grade glioma (HGG), medulloblastoma, ependymoma, atypical teratoid-rhabdoid tumor, and low-grade glioma tumors. The tissue was processed within an hour post-extraction and cultured in growth factor-free media. Organoid formation and growth were observed as early as in 2 weeks post initiation and continued for up to three months. Banked organoids established growth upon return to culture and resembled similar cell composition to those in the original culture. This provides an excellent preclinical testing model for precision medicine-driven trials. To represent this, we utilized CAR-T testing approach and treated GD2-positive HGG organoids with GD2 CAR-T cells and control CD19 CAR-T cells. 72h exposure to GD2 CAR-T induced morphological changes and significant increase in dead cells within organoids, which was not observed in CD19 CAR-T treated counterparts (p<0.05). Here we provide a simple and efficient workflow for the generation and testing of three-dimensional tumor organoid models generated from fresh surgical tissue. The platform can accelerate not only tumor biology explorations but also empower a diverse array of precision medicine-driven testing for pediatric brain tumors.

A deep learning model for drug screening and evaluation in bladder cancer organoids.

Three-dimensional cell tissue culture, which produces biological structures termed organoids, has rapidly promoted the progress of biological research, including basic research, drug discovery, and regenerative medicine. However, due to the lack of algorithms and software, analysis of organoid growth is labor intensive and time-consuming. Currently it requires individual measurements using software such as ImageJ, leading to low screening efficiency when used for a high throughput screen. To solve this problem, we developed a bladder cancer organoid culture system, generated microscopic images, and developed a novel automatic image segmentation model, AU2Net (Attention and Cross U2Net). Using a dataset of two hundred images from growing organoids (day1 to day 7) and organoids with or without drug treatment, our model applies deep learning technology for image segmentation. To further improve the accuracy of model prediction, a variety of methods are integrated to improve the model's specificity, including adding Grouping Cross Merge (GCM) modules at the model's jump joints to strengthen the model's feature information. After feature information acquisition, a residual attentional gate (RAG) is added to suppress unnecessary feature propagation and improve the precision of organoids segmentation by establishing rich context-dependent models for local features. Experimental results show that each optimization scheme can significantly improve model performance. The sensitivity, specificity, and F1-Score of the ACU2Net model reached 94.81%, 88.50%, and 91.54% respectively, which exceed those of U-Net, Attention U-Net, and other available network models. Together, this novel ACU2Net model can provide more accurate segmentation results from organoid images and can improve the efficiency of drug screening evaluation using organoids.

Abstract 4573: Evaluation of tumor treating fields (TTFields) effects at 200 kHz on a glioblastoma, an anaplastic ependymoma and an oligodendroglioma sample in a patient-derived ex vivo organoid model

Abstract TTFields are alternating electric fields of low intensity (1-3 V/cm) and intermediate frequency (100-500 kHz), which are effective and approved for the treatment of glioblastoma (GBM) using 200 kHz frequency. However, there is a lack of ex vivo models to evaluate effects on patients’ tumor biology or to screen patients for treatment efficacy. Therefore, we adapted patient-derived three-dimensional GBM tissue culture models to be compatible with TTFields application and recently published the feasibility of such an approach (Nickl, et al., 2022, doi: 10.3390/cancers14215177). Here, we applied one of those models, i.e. tumor-organoids cultured as microtumors on murine organotypic hippocampal slice cultures (OHSCs), to additional brain tumor entities, namely a sample of an anaplastic ependymoma (AE) patient and an oligodendroglioma patient. Organoids were generated from fresh intra-operatively obtained tumor tissue and cultured for 2 weeks. OHSCs were prepared by slicing the brains of mice 5-8 days postpartum to sections with a thickness of 350 µm using a vibratome, and culturing them for 2 weeks as well. Subsequently, organoids were placed onto the OHSCs. The inovitro™ laboratory research system was used for TTFields administration at 200 kHz and 1.5 V/cm for 72 h. Microtumor growth was evaluated on fluorescence images. Viable organoids formed from the GBM, AE and oligodendroglioma sample and grew to microtumors when placed onto OHSCs. Application of TTFields at 200 kHz led to a significant decrease of microtumor size of the GBM and AE (both p<0.0001), but not the oligodendroglioma sample. This proof-of-principle investigation proved that the application of patient-derived organoids cultured on OHSCs is feasible to investigate the effects of TTFields on different kinds of brain tumors. To our knowledge, this is the first evaluation of TTFields efficacy on patient derived AE and oligodendroglioma tissue cultures. While TTFields at 200 kHz led to a decrease in the microtumor size of the AE sample, the non-responsiveness of the oligodendroglioma sample may be due to different inter-patient sensitivity to TTFields or a suboptimal TTFields frequency. Citation Format: Vera Nickl, Ellina Schulz, Ellaine Salvador, Laureen Trautmann, Leopold Diener, Almuth F. Kessler, Camelia M. Monoranu, Ralf-Ingo Ernestus, Mario Löhr, Carsten Hagemann. Evaluation of tumor treating fields (TTFields) effects at 200 kHz on a glioblastoma, an anaplastic ependymoma and an oligodendroglioma sample in a patient-derived ex vivo organoid model. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4573.

Uncovering the cytotoxic effects of air pollution with multi-modal imaging of in vitro respiratory models.

Annually, an estimated seven million deaths are linked to exposure to airborne pollutants. Despite extensive epidemiological evidence supporting clear associations between poor air quality and a range of short- and long-term health effects, there are considerable gaps in our understanding of the specific mechanisms by which pollutant exposure induces adverse biological responses at the cellular and tissue levels. The development of more complex, predictive, in vitro respiratory models, including two- and three-dimensional cell cultures, spheroids, organoids and tissue cultures, along with more realistic aerosol exposure systems, offers new opportunities to investigate the cytotoxic effects of airborne particulates under controlled laboratory conditions. Parallel advances in high-resolution microscopy have resulted in a range of in vitro imaging tools capable of visualizing and analysing biological systems across unprecedented scales of length, time and complexity. This article considers state-of-the-art in vitro respiratory models and aerosol exposure systems and how they can be interrogated using high-resolution microscopy techniques to investigate cell-pollutant interactions, from the uptake and trafficking of particles to structural and functional modification of subcellular organelles and cells. These data can provide a mechanistic basis from which to advance our understanding of the health effects of airborne particulate pollution and develop improved mitigation measures.

Organoids in high-throughput and high-content screenings

Organoids are self-organized three-dimensional (3D) multicellular tissue cultures which derive from cancerous and healthy stem cells, sharing a highly similarity to the corresponding in vivo organs. Since their introduction in 2009, they have emerged as a valuable model for studying early embryogenesis, organ and tissue development, as well as tools in drug screening, disease modeling and personalized therapy. Organoids can now be established for various tissues, including brain, retina, thyroid, gastrointestinal, lung, liver, pancreas, and kidney. These micro-tissues resemble the native organ in terms of gene expression, protein expression, tissue architecture and cell-cell interactions. Despite the success of organoid-based research and the advances in patient-derived organoid culture, important challenges remain. In this review, we briefly showcase the evolution from the primary 3D systems to complex, multilayered 3D structures such as assembloids, gastruloids and ETiX embryoids. We discuss current developments in organoid research and highlight developments in organoid culturing systems and analysis tools which make organoids accessible for high-throughput and high-content screening. Finally, we summarize the potential of machine learning and computational modeling in conjunction with organoid systems.

ER-/PR+ breast cancer is controlled more effectively with an inflammatory inhibitor than hormonal inhibitor.

The anti-estrogen tamoxifen is a highly effective hormonal therapy for hormonal-positive (HR+) breast cancer patients; however, the estrogen receptor-negative, progesterone receptor-positive (ER-/PR+) subtype does not give the benefits of tamoxifen. Therefore ER-/PR+ breast cancer has a poor clinical outcome, and novel drug therapy for ER-/PR+ breast cancer could benefit these patients. 53,805 gene expressions were characterized into HR+ BC and triple-negative breast cancer (TNBC) and analyzed through Breast Cancer Gene Expression Miner in 4319 breast cancer patient samples. The clinical outcomes including overall survival, distant metastasis-free survival, and relapse-free survival were obtained from the PrognoScan database containing 1190 human breast cancer patient samples. To determine the function of ERα and inflammation-related genes such as USP1, CDC20, and CASP1, we used the CRISPR-Cas9 system or gene knockdown (KD) system. To check tumor cell proliferation and migration of ERα KO breast cancer cell line, we used tamoxifen and the inflammation inhibitor Ac-YVAD-CHO. For further confirmation, cancer growth was checked with the inflammation inhibitor in ERα KO breast cancer cell line using a three-dimensional (3D) organoid tissue culture system (ex vivo). We found that gene expression in ER-/PR+ hormonal-positive breast cancer is positively related to ER-/PR- very similar to TNBC, not other HR+ breast cancer using a 4319 breast cancer patient database. Especially, inflammation-related genes, USP1, CDC20, and CASP1, which are highly expressed in TNBC, are also upregulated in ER-/PR+ HR+ breast cancer. Suppression of USP1, CDC20, and CASP1 inhibited tumor cell growth and metastasis in ERα KO (ER-/PR +) cell lines. Interestingly, loss of ERα in HR+ cell lines is not responsive to tamoxifen, but highly sensitive to the inflammation inhibitor, Ac-YVAD-CHO. In in vitro and ex vivo (3D organoid) models, inflammation inhibitor-specific blocks ER-/PR+ tumor proliferation and migration. These findings suggest that an inflammation inhibitor might be a potential option for therapy for ER-/PR+ HR breast cancer patients.

Temporal transcriptome profiling of floating apical out chicken enteroids suggest stability and reproducibility

Enteroids are miniature self-organising three-dimensional (3D) tissue cultures which replicate much of the complexity of the intestinal epithelium. We recently developed an apical-out leukocyte-containing chicken enteroid model providing a novel physiologically relevant in vitro tool to explore host–pathogen interactions in the avian gut. However, the replicate consistency and culture stability have not yet been fully explored at the transcript level. In addition, causes for the inability to passage apical-out enteroids were not determined. Here we report the transcriptional profiling of chicken embryonic intestinal villi and chicken enteroid cultures using bulk RNA-seq. Comparison of the transcriptomes of biological and technical replicate enteroid cultures confirmed their high level of reproducibility. Detailed analysis of cell subpopulation and function markers revealed that the mature enteroids differentiate from late embryonic intestinal villi to recapitulate many digestive, immune and gut-barrier functions present in the avian intestine. These transcriptomic results demonstrate that the chicken enteroid cultures are highly reproducible, and within the first week of culture they morphologically mature to appear similar to the in vivo intestine, therefore representing a physiologically-relevant in vitro model of the chicken intestine.

Human brain organoids to explore SARS-CoV-2-induced effects on the central nervous system.

Severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19). In less than three years, an estimated 600 million infections with SARS-CoV-2 occurred worldwide, resulting in a pandemic with tremendous impact especially on economic and health sectors. Initially considered a respiratory disease, COVID-19, along with its long-term sequelae (long-COVID) rather is a systemic disease. Neurological symptoms like dementia or encephalopathy were reported early during the pandemic as concomitants of the acute phase and as characteristics of long-COVID. An excessive inflammatory immune response is hypothesized to play a major role in this context. However, direct infection of neural cells may also contribute to the neurological aspects of (long)-COVID-19. To mainly explore such direct effects of SARS-CoV-2 on the central nervous system, human brain organoids provide a useful platform. Infecting these three-dimensional tissue cultures allows the study of viral neurotropism as well as of virus-induced effects on single cells or even the complex cellular network within the organoid. In this review, we summarize theexperimental studies that used SARS-CoV-2-infected human brain organoidstounravel the complex nature of (long)-COVID-19-related neurological manifestations.

Ascl1-expressing cell differentiation in initially developed taste buds and taste organoids.

Mammalian taste bud cells are composed of several distinct cell types and differentiated from surrounding tongue epithelial cells. However, the detailed mechanisms underlying their differentiation have yet to be elucidated. In the present study, we examined an Ascl1-expressing cell lineage using circumvallate papillae (CVP) of newborn mice and taste organoids (three-dimensional self-organized tissue cultures), which allow studying the differentiation of taste bud cells in fine detail ex vivo. Using lineage-tracing analysis, we observed that Ascl1 lineage cells expressed type II and III taste cell markers both CVP of newborn mice and taste organoids. However, the coexpression rate in type II cells was lower than that in type III cells. Furthermore, we found that the generation of the cells which express type II and III cell markers was suppressed in taste organoids lacking Ascl1-expressing cells. These findings suggest that Ascl1-expressing precursor cells can differentiate into both type III and a subset of type II taste cells.

Human Brain Organoids in Migraine Research: Pathogenesis and Drug Development.

Human organoids are small, self-organized, three-dimensional (3D) tissue cultures that have started to revolutionize medical science in terms of understanding disease, testing pharmacologically active compounds, and offering novel ways to treat disease. Organoids of the liver, kidney, intestine, lung, and brain have been developed in recent years. Human brain organoids are used for understanding pathogenesis and investigating therapeutic options for neurodevelopmental, neuropsychiatric, neurodegenerative, and neurological disorders. Theoretically, several brain disorders can be modeled with the aid of human brain organoids, and hence the potential exists for understanding migraine pathogenesis and its treatment with the aid of brain organoids. Migraine is considered a brain disorder with neurological and non-neurological abnormalities and symptoms. Both genetic and environmental factors play essential roles in migraine pathogenesis and its clinical manifestations. Several types of migraines are classified, for example, migraines with and without aura, and human brain organoids can be developed from patients with these types of migraines to study genetic factors (e.g., channelopathy in calcium channels) and environmental stressors (e.g., chemical and mechanical). In these models, drug candidates for therapeutic purposes can also be tested. Here, the potential and limitations of human brain organoids for studying migraine pathogenesis and its treatment are communicated to generate motivation and stimulate curiosity for further research. This must, however, be considered alongside the complexity of the concept of brain organoids and the neuroethical aspects of the topic. Interested researchers are invited to join the network for protocol development and testing the hypothesis presented here.

A New Bioreactor to Promote Human Follicular Growth with or without Activin A in Transgender Men

The aim of the present study was to evaluate the effect of activin A on the activation of in vitro folliculogenesis of human ovarian tissues from transgender men with or without our new compartmented chitosan hydrogel microbioreactor (“three-dimensional (3D)-structure”) enabling a three-dimensional tissue culture. Five fresh ovarian human tissues were cultured in vitro for 20 or 22 days in four groups with 100 ng/mL activin A or without activin A during the last six to eight days of culture, and within a 3D-structure or without the 3D-structure in standard conditions. Follicular density and quality were evaluated, and follicular diameters were measured. Estradiol secretion was quantified. Proliferation and apoptosis through immunostaining were also performed. The proportion of primordial follicles was significantly reduced, and the proportion of primary and secondary follicles was significantly increased in all four groups (p < 0.001). Tertiary follicles were observed in the four culture groups. Activin A supplementation did not significantly affect the follicular density, follicular quality, follicular growth, or estradiol secretion (p > 0.05). The 3D-structure increased the density of primary follicles and decreased the estradiol secretion (p < 0.001). Follicular proliferation was significantly lower in the 3D-structure group compared to the non-3D-structure group (p = 0.008). Regarding follicular apoptosis, it was significantly higher in the activin group compared to the non-activin group (p = 0.006). Activin A did not seem to play a key role in the in vitro folliculogenesis activation in our culture conditions. However, the results may indicate that the 3D-structure could be more physiological and could prevent a detrimental in vitro folliculogenesis flare-up.