Modeling Phenotypic Heterogeneity Towards Evolutionary Inspired Osteosarcoma Therapy
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ABSTRACT:
PROVIDER: PRJNA1003084 | ENA |
REPOSITORIES: ENA
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Project description:Osteosarcoma is the most common bone sarcoma in children and young adults. While chemotherapy is universally delivered, benefit from chemotherapy is limited to roughly half of localized patients. Increasingly, intratumoral heterogeneity is being appreciated as a source of therapeutic resistance. In this study we developed and evaluated an in vitro model of osteosarcoma heterogeneity, characterizing phenotype (growth in varying environments, sensitivity to chemotherapy) and genotype. We present the genotypic and phenotypic characterization of an osteosarcoma cell line panel with a focus on coculture of the most phenotypically divergent cell lines, 143B and SAOS2. The extent of phenotypic heterogeneity can be altered with relatively modest environmental (pH, glutamine) or chemical perturbations. We demonstrate that in nutrient rich in vitro culture conditions 143B outcompetes SAOS2, but with selection pressure from nutrient variations or conventional chemotherapy, SAOS2 growth can be favored in spheroids. Importantly, perturbations that affect the faster growing cell line have only a modest effect on final spheroid size when the simplest heterogeneity state (a two-cell line coculture) is evaluated, and thus the only evaluated therapies to eliminate the spheroids were by switching therapies from a first strike to a second strike. This extensively characterized, widely available system can be modeled and scaled to allow for improved strategies to anticipate resistance in osteosarcoma due to phenotypic heterogeneity.
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Project description:Niche-inspired tubuloid differentiation enables modeling of the distal nephron in health and disease
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Project description:In osteosarcoma patients, the development of metastases, often to the lungs, is the most frequent cause of death. To improve this situation, a deeper understanding of the molecular mechanisms governing osteosarcoma development and dissemination and the identification of novel drug targets for an improved treatment are needed. Towards this aim, we characterized osteosarcoma tissue samples compared to primary osteoblast cells using Affymetrix HG U133A microarrays. mRNA from 5 frozen conventional osteosarcoma and 4 osteosarcoma lung metastases tumor samples and mRNA from fresh primary osteoblast cells were extracted and hybridized to HG U133A microarrays.
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Project description:In osteosarcoma patients, the development of metastases, often to the lungs, is the most frequent cause of death. To improve this situation, a deeper understanding of the molecular mechanisms governing osteosarcoma development and dissemination and the identification of novel drug targets for an improved treatment are needed. Towards this aim, we characterized osteosarcoma tissue samples compared to primary osteoblast cells using Affymetrix HG U133A microarrays.
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Project description:Lung metastasis is the principal cause of death by osteosarcoma (OS), and has been shown by in vivo modeling to depend on interleukin-11 receptor alpha (IL11RA). To investigate IL11RA signaling in OS, we determined the effects of IL11RA knockdown on gene expression in the OS cell line KRIB. Increased expression of genes repressed by the methyltransferase EZH2 was observed after IL11RA knockdown. Subsequent studies confirmed that IL11RA signaling promotes EZH2 activity and lung metastasis in OS.
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Project description:In order to identify the targets of miR-193a-5p in osteosarcoma U2OS cell line, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins. order to identify the targets of miR-193a-5p, we used a lentivirus-mediated expression system to overexpressing miR-193a precusor, miR-193a-5p target sequence and non-target sequence, respectively, in osteosarcoma cell line U2OS. A tandem mass tag (TMT)-based quantitative proteomic strategy was employed to identify the global profile of miR-193a-5p-regulated proteins.
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