Three-dimensional bioprinted glioblastoma microenvironments model cellular dependencies and immune interactions.
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ABSTRACT:
SUBMITTER: Tang M
PROVIDER: S-EPMC7608409 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Brain tumors are dynamic complex ecosystems with multiple cell types. To model the brain tumor microenvironment in a reproducible and scalable system, we developed a rapid three-dimensional (3D) bioprinting method to construct clinically relevant biomimetic tissue models. In recurrent glioblastoma, macrophages/microglia prominently contribute to the tumor mass. To parse the function of macrophages in 3D, we compared the growth of glioblastoma stem cells (GSCs) alone or with astrocytes and neural precursor cells (NPCs) in a hyaluronic acid (HA)-rich hydrogel, with or without macrophages. Bioprinted constructs integrating macrophage recapitulate patient-derived transcriptional profiles predictive of patient survival, maintenance of stemness, invasion, and drug resistance. Whole genome CRISPR screening with bioprinted complex systems identified unique molecular dependencies in GSCs, relative to sphere culture. Multicellular bioprinted models serve as a scalable and physiologic platform to interrogate drug sensitivity, cellular crosstalk, invasion, context-dependent functional dependencies, as well as immunologic interactions in a species-matched neural environment.
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Project description:Three-dimensional (3D) bioprinting, although still in its infancy as a fabrication tool, has the potential to effectively mimic many biological environments. Cell-laden 3D printed structures have demonstrated to be an improvement from the widely used monolayer platforms, largely because of recapitulation of native tissue architecture with the 3D structures. Thus, 3D in vitro models have been increasingly investigated for improved modeling of cell and disease systems, such as for breast cancer. In the present work, multicellular cell-laden hydrogels comprised of adipocytes and breast cancer cells were bioprinted and evaluated. An ideal bioink of 3:2 5% alginate was determined to mimic the tissue stiffness observed in a physiological breast cancer tumor environment. Rheological characterization and degradation studies were performed to verify the stability of the artificial breast hydrogel environment. It was found that both the breast cancer cells and adipocytes remained viable directly after printing and throughout the 10-day culture period within the printed hydrogels. Direct printing of the cells in co-culture resulted in morphology changes and variations in cell localization within printed structures. Overall, the feasibility of efficiently fabricating multicellular cell-laden bioprinted models of the breast tumor microenvironment was established.
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Project description:Three-dimensional bioprinting enables creation of tissue-informed glioblastoma microenvironments for modeling complex cellular interactions
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Project description:Non-alcoholic steatohepatitis (NASH) represents a significant and growing public health concern worldwide, characterized by hepatic steatosis, inflammation, and varying degrees of fibrosis. In vitro models of NASH play a crucial role in elucidating the underlying mechanisms of disease pathogenesis, identifying potential therapeutic targets, and evaluating the efficacy of pharmacological interventions. Several preclinical models of MASH have been developed and are being used extensively to study these areas. While standard cell culture models allow for elucidation of certain molecular pathways involved in MASH pathogenesis, they lack three-dimensional architecture and cellular heterogeneity observed in native liver tissue, potentially limiting their physiological relevance and inability to fully capture the multifactorial nature of the disease Precision cut liver slices from MASH livers retain the complex multicellular architecture of the liver including hepatocyte arrangement, sinusoidal structure, and cellular interactions, but the metabolism deteriorates over a short period of time (usually reported as 2 days). Human liver organoids from iPSCs (induced pluripotent stem cells) retain the genetics of the patients but fail to fully differentiate into hepatocytes or have the liver architecture. Human liver spheroids incubated in a MASH cocktail develop several phenotypic characteristics of a MASH liver, but the small spheroid size precludes extensive histological comparisons to MASH livers. Microphysiological systems (MPS) or “liver on a chip” in which 3D cultures are perfused, maintain many of the physiological functions of the liver owing to precise control over microenvironmental parameters, including fluid flow, nutrient gradients, and mechanical cues. However, MPS are difficult to scale up and have not been developed to reproduce a MASH phenotype. In comparison, bioprinted liver tissues for MASH have many advantages. Organovo’s 3D bioprinted liver tissues are comprised of all major primary liver cells including hepatocytes, endothelial cells, stellates and Kupffer cells, mixed in physiologically relevant ratios. These cells are then bioprinted in precise pre-defined liver specific geometries to recapitulate complexity of the hepatic microenvironment.. This mimicking of tissue architecture enables more accurate representation of cellular interactions, spatial organization, and microenvironmental cues crucial for MASH pathogenesis. The liver tissues developed using this method maintain differentiation and metabolism over several weeks. In this paper, we further demonstrated that upon treatment with a MASH induction cocktail, these liver tissues respond accurately by developing steatosis and fibrosis Tissue response varies depending in response to the complexity of the MASH cocktail.
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Project description:In this study, we designed a tissue-engineered neurocardiac model to help us examine the role of neuronal regulation and confirm the importance of neural innervation techniques for the regeneration of cardiac tissue. A three-dimensional (3D) bioprinted neurocardiac scaffold composed of a mixture of gelatin-alginate and alginate-genipin-fibrin hydrogels was developed with a 2:1 ratio of AC16 cardiomyocytes (CMs) and retinoic acid-differentiated SH-SY5Y neuronal cells (NCs) respectively. A unique semi-3D bioprinting approach was adopted, where the CMs were mixed in the cardiac bioink and printed using an anisotropic accordion design to mimic the physiological tissue architecture in vivo. The voids in this 3D structure were methodically filled in using a NC-gel mixture and crosslinked. Confocal fluorescent imaging using microtubule-associated protein 2 (MAP-2) and anticholine acetyltransferase (CHAT) antibodies for labeling the NCs and the MyoD1 antibody for the CMs revealed functional coupling between the two cell types in the final crosslinked structure. These data confirmed the development of a relevant neurocardiac model that could be used to study neurocardiac modulation under physiological and pathological conditions.
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Project description:Understanding the interactions between tumors and the host immune system holds great promise to uncover biomarkers for targeted therapies, predict the prognosis of patients and guide clinical treatment. However, the immune signatures of glioblastoma multiforme (GBM) remain largely unstudied in terms of systematic analyses. We aimed to classify GBM samples according to immune-related genes and complement the existing immunotherapy system knowledge. In this study, we designed a strategy to identify 3 immune subtypes representing 3 different immune microenvironments (M1-M3) and associated with prognosis. The 3 subtypes were significantly different in terms of specific immune characteristics (immune cell subpopulations, immune responses, immune cells, and checkpoint gene interactions). In additional, copy number variations and methylation changes were identified that correlated with genes related to a worse prognosis subtype in the microenvironment. More importantly, in M3 (worst prognosis subtype) and M2 (best prognosis subtype), the interaction between immune cells and checkpoint genes was different, which had an important effect on the prognosis. Finally, we used risk scores of immune cells and checkpoint genes to evaluate the prognosis of GBM patients and validated the results with 3 independent datasets. Disordered interactions between immune cells and checkpoint genes result in a change in the immune microenvironment and affects the prognosis of patients. We propose that a better understanding of the immune microenvironment of advanced cancers may provide new insights into immunotherapy.
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