Project description:We performed the scRNA-seq analysis of 1 giant cell tumor of bone tissues based on the 10X Genomics platform and obtained data of 11385 cells.
Project description:Osteoclast is the primary bone resorbing multinucleated cell. However, human osteooclastoma bone tumor derived osteoclat cellsare However, gene expression profile of giant osteoclat cells is unclear. Here, we performed gene expression profiling of enriched giant cells to elucidate the neoplastic effects and dynamic changes in gene expression responsible for abnormal hyperactive osteoclast formation in the tumor bone microenvironment.
Project description:Tenosynovial giant-cell tumor (TGCT) and pigmented villonodular synovitis (PVNS) are related conditions with features of both reactive inflammatory disorders and clonal neoplastic proliferations. Chromosomal translocations involving chromosome 1p13 have been reported in both TGCT and PVNS. We confirm that translocations involving 1p13 are present in a majority of cases of TGCT and PVNS and show that CSF1 is the gene at the chromosome 1p13 breakpoint. In some cases of both TGCT and PVNS, CSF1 is fused to COL6A3 (2q35). The CSF1 translocations result in overexpression of CSF1. In cases of TGCT and PVNS carrying this translocation, it is present in a minority of the intratumoral cells, leading to CSF1 expression only in these cells, whereas the majority of cells express CSF1R but not CSF1, suggesting a tumor-landscaping effect with aberrant CSF1 expression in the neoplastic cells, leading to the abnormal accumulation of nonneoplastic cells that form a tumorous mass. Set of arrays organized by shared biological context, such as organism, tumors types, processes, etc. Computed
Project description:We characterized the mouse trophoblast giant cell epigenome and gene expression profiles. We then compared these data to our data on underrepresentation in the polyploid trophoblast giant cells. We profiled 5 histone modifications (+ chromatin input) using ChIP-Seq, and digital expression profiles (3' RNA-Seq) for trophoblast giant cells derived from mouse. Furthermore, we profiled digital expression profiles (3' RNA-Seq) for in vivo trophoblast giant cells samples from e9.5 wildtype mouse trophoblast giant cells. We found that underrepresented domains in trophoblast giant cells are enriched for repressive marks and anti-correlate with active marks and transcription.
Project description:Giant cell granulomas of the jaws often occur sporadically as single central or peripheral lesions. They are characterized by KRAS, FGFR1, or TRPV4 somatic mutations, the latter occurring exclusively in the central form. Less commonly, multiple giant cell lesions can develop in the context of syndromes such as cherubism, which is an autosomal dominant bone disease. Morphologically, giant cell granulomas can closely resemble other giant cell-rich lesions such as non-ossifying fibroma and aneurysmal bone cyst, and to a minor extent giant cell tumour of bone and chondroblastoma. The epigenetic basis of these giant cell-rich tumours is unclear and, recently, DNA methylation profile has been shown to be clinically useful for the diagnosis of other tumour types, including brain tumours as well as bone and soft tissue sarcomas. Therefore, we aimed to assess the DNA methylation profile of central and peripheral sporadic giant cell granulomas of the jaws and cherubism to test whether DNA methylation patterns can help to distinguish these entities. Additionally, we further compared the DNA methylation profile of these lesions with those of other giant cell-rich mimics to investigate if the microscopic similarities extend to the epigenetic level. Our results showed that central and peripheral sporadic giant cell granulomas of the jaws and cherubism share a related DNA methylation pattern with that of peripheral sporadic giant cell granulomas and cherubism appearing slightly distinct, while central sporadic giant cell granulomas show overlap with both of the former. Non-ossifying fibroma, aneurysmal bone cyst, giant cell tumour of bone, and chondroblastoma, on the other hand, have distinct methylation patterns. Therefore, DNA methylation profiling is currently not capable of clearly distinguishing sporadic and cherubism-associated giant cell lesions of the jaws. Conversely, it could discriminate sporadic giant cell granulomas from their giant cell-rich mimics.
Project description:We characterized the mouse trophoblast giant cell epigenome and gene expression profiles. We then compared these data to our data on underrepresentation in the polyploid trophoblast giant cells.
Project description:The paper describes a model of tumor control via alternating immunostimulating and immunosuppressive phases.
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This model is described in the article:
In silico tumor control induced via alternating immunostimulating and immunosuppressive phases
AI Reppas, JCL Alfonso, and H Hatzikirou
Virulence 7:2, 174--186
Abstract:
Despite recent advances in the field of Oncoimmunology, the success potential of immunomodulatory therapies against cancer remains to be elucidated. One of the reasons is the lack of understanding on the complex interplay between tumor growth dynamics and the associated immune system responses. Toward this goal, we consider a mathematical model of vascularized tumor growth and the corresponding effector cell recruitment dynamics. Bifurcation analysis allows for the exploration of model’s dynamic behavior and the determination of these parameter regimes that result in immune-mediated tumor control. In this work, we focus on a particular tumor evasion regime that involves tumor and effector cell concentration oscillations of slowly increasing and decreasing amplitude, respectively. Considering a temporal multiscale analysis, we derive an analytically tractable mapping of model solutions onto a weakly negatively damped harmonic oscillator. Based on our analysis, we propose a theory-driven intervention strategy involving immunostimulating and immunosuppressive phases to induce long-term tumor control.
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