High-grade serous ovarian cancer refined with single-cell RNA-sequencing
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PROVIDER: EGAS00001004987 | EGA |
REPOSITORIES: EGA
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Project description:Soft-tissue tumours are derived from mesenchymal cells such as fibroblasts, muscle cells, or adipocytes, but for many such tumours the histogenesis is controversial. We aimed to start molecular characterisation of these rare neoplasms and to do a genome-wide search for new diagnostic markers. We analysed gene-expression patterns of 41 soft-tissue tumours with spotted cDNA microarrays. After removal of errors introduced by use of different microarray batches, the expression patterns of 5520 genes that were well defined were used to separate tumours into discrete groups by hierarchical clustering and singular value decomposition. Synovial sarcomas, gastrointestinal stromal tumours, neural tumours, and a subset of the leiomyosarcomas, showed strikingly distinct gene-expression patterns. Other tumour categories--malignant fibrous histiocytoma, liposarcoma, and the remaining leiomyosarcomas--shared molecular profiles that were not predicted by histological features or immunohistochemistry. Strong expression of known genes, such as KIT in gastrointestinal stromal tumours, was noted within gene sets that distinguished the different sarcomas. However, many uncharacterised genes also contributed to the distinction between tumour types. These results suggest a new method for classification of soft-tissue tumours, which could improve on the method based on histological findings. Large numbers of uncharacterised genes contributed to distinctions between the tumours, and some of these could be useful markers for diagnosis, have prognostic significance, or prove possible targets for treatment.
2005-09-26 | E-SMDB-1380 | biostudies-arrayexpress
Project description:Soft-tissue tumours are derived from mesenchymal cells such as fibroblasts, muscle cells, or adipocytes, but for many such tumours the histogenesis is controversial. We aimed to start molecular characterisation of these rare neoplasms and to do a genome-wide search for new diagnostic markers. We analysed gene-expression patterns of 41 soft-tissue tumours with spotted cDNA microarrays. After removal of errors introduced by use of different microarray batches, the expression patterns of 5520 genes that were well defined were used to separate tumours into discrete groups by hierarchical clustering and singular value decomposition. Synovial sarcomas, gastrointestinal stromal tumours, neural tumours, and a subset of the leiomyosarcomas, showed strikingly distinct gene-expression patterns. Other tumour categories--malignant fibrous histiocytoma, liposarcoma, and the remaining leiomyosarcomas--shared molecular profiles that were not predicted by histological features or immunohistochemistry. Strong expression of known genes, such as KIT in gastrointestinal stromal tumours, was noted within gene sets that distinguished the different sarcomas. However, many uncharacterised genes also contributed to the distinction between tumour types. These results suggest a new method for classification of soft-tissue tumours, which could improve on the method based on histological findings. Large numbers of uncharacterised genes contributed to distinctions between the tumours, and some of these could be useful markers for diagnosis, have prognostic significance, or prove possible targets for treatment. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Computed
2005-10-13 | E-GEOD-3443 | biostudies-arrayexpress
Project description:Soft-tissue tumours are derived from mesenchymal cells such as fibroblasts, muscle cells, or adipocytes, but for many such tumours the histogenesis is controversial. We aimed to start molecular characterisation of these rare neoplasms and to do a genome-wide search for new diagnostic markers. We analysed gene-expression patterns of 41 soft-tissue tumours with spotted cDNA microarrays. After removal of errors introduced by use of different microarray batches, the expression patterns of 5520 genes that were well defined were used to separate tumours into discrete groups by hierarchical clustering and singular value decomposition. Synovial sarcomas, gastrointestinal stromal tumours, neural tumours, and a subset of the leiomyosarcomas, showed strikingly distinct gene-expression patterns. Other tumour categories--malignant fibrous histiocytoma, liposarcoma, and the remaining leiomyosarcomas--shared molecular profiles that were not predicted by histological features or immunohistochemistry. Strong expression of known genes, such as KIT in gastrointestinal stromal tumours, was noted within gene sets that distinguished the different sarcomas. However, many uncharacterised genes also contributed to the distinction between tumour types. These results suggest a new method for classification of soft-tissue tumours, which could improve on the method based on histological findings. Large numbers of uncharacterised genes contributed to distinctions between the tumours, and some of these could be useful markers for diagnosis, have prognostic significance, or prove possible targets for treatment. A disease state experiment design type is where the state of some disease such as infection, pathology, syndrome, etc is studied. Keywords: disease_state_design
2005-10-13 | GSE3443 | GEO
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2020-02-20 | GSE145556 | GEO
Project description:Glioblastomas in adult patients are classified into four subtypes, IDH, MES, RTK I, and RTK II, based on DNA-methylation and RNA-expression data. Tumour subtype transitions are common during treatment, and transitions to the mesenchymal (MES) subtype are associated with therapy resistance and adverse prognosis. Here, we present DNA methylome and histone modification data of glioblastoma primary tumours and find that glioblastoma subtypes differ in their enhancer landscapes. Using Core Regulatory Circuitry analysis of chromatin and orthogonal analysis of RNA-derived gene regulatory networks, we identified 38 subtype Master Regulators whose cell population-specific activities we further mapped in single-cell RNA sequencing data. These analyses identified the oligodendrocyte precursor marker and chromatin modifier SRY-Box 10 (SOX10) as a master regulator in RTK I tumours. In vitro functional studies demonstrated that SOX10 loss causes a subtype switch analogous to the proneural-mesenchymal Transition observed in patients at the transcriptomic, epigenetic and phenotypic levels. This subtype transition is dependent on the activity of the SOX10 and enhancer co-factor Bromodomain Containing 4 (BRD4). Sox10 repression in an in vivo syngeneic graft glioblastoma mouse model results in increased tumour invasion, immune cell infiltration and significantly reduced survival, reminiscent of progressive human glioblastoma. These results identify SOX10 as a bona fide master regulator of the RTK I subtype, with both tumour cell-intrinsic and microenvironmental effects, highlighting that both glioblastoma cell plasticity and their tumour-microenvironment interactions are important contributors to tumour phenotypes.
2018-11-05 | GSE121716 | GEO
Project description:Glioblastomas in adult patients are classified into four subtypes, IDH, MES, RTK I, and RTK II, based on DNA-methylation and RNA-expression data. Tumour subtype transitions are common during treatment, and transitions to the mesenchymal (MES) subtype are associated with therapy resistance and adverse prognosis. Here, we present DNA methylome and histone modification data of glioblastoma primary tumours and find that glioblastoma subtypes differ in their enhancer landscapes. Using Core Regulatory Circuitry analysis of chromatin and orthogonal analysis of RNA-derived gene regulatory networks, we identified 38 subtype Master Regulators whose cell population-specific activities we further mapped in single-cell RNA sequencing data. These analyses identified the oligodendrocyte precursor marker and chromatin modifier SRY-Box 10 (SOX10) as a master regulator in RTK I tumours. In vitro functional studies demonstrated that SOX10 loss causes a subtype switch analogous to the proneural-mesenchymal Transition observed in patients at the transcriptomic, epigenetic and phenotypic levels. This subtype transition is dependent on the activity of the SOX10 and enhancer co-factor Bromodomain Containing 4 (BRD4). Sox10 repression in an in vivo syngeneic graft glioblastoma mouse model results in increased tumour invasion, immune cell infiltration and significantly reduced survival, reminiscent of progressive human glioblastoma. These results identify SOX10 as a bona fide master regulator of the RTK I subtype, with both tumour cell-intrinsic and microenvironmental effects, highlighting that both glioblastoma cell plasticity and their tumour-microenvironment interactions are important contributors to tumour phenotypes.
2018-11-05 | GSE121719 | GEO
Project description:Glioblastomas in adult patients are classified into four subtypes, IDH, MES, RTK I, and RTK II, based on DNA-methylation and RNA-expression data. Tumour subtype transitions are common during treatment, and transitions to the mesenchymal (MES) subtype are associated with therapy resistance and adverse prognosis. Here, we present DNA methylome and histone modification data of glioblastoma primary tumours and find that glioblastoma subtypes differ in their enhancer landscapes. Using Core Regulatory Circuitry analysis of chromatin and orthogonal analysis of RNA-derived gene regulatory networks, we identified 38 subtype Master Regulators whose cell population-specific activities we further mapped in single-cell RNA sequencing data. These analyses identified the oligodendrocyte precursor marker and chromatin modifier SRY-Box 10 (SOX10) as a master regulator in RTK I tumours. In vitro functional studies demonstrated that SOX10 loss causes a subtype switch analogous to the proneural-mesenchymal Transition observed in patients at the transcriptomic, epigenetic and phenotypic levels. This subtype transition is dependent on the activity of the SOX10 and enhancer co-factor Bromodomain Containing 4 (BRD4). Sox10 repression in an in vivo syngeneic graft glioblastoma mouse model results in increased tumour invasion, immune cell infiltration and significantly reduced survival, reminiscent of progressive human glioblastoma. These results identify SOX10 as a bona fide master regulator of the RTK I subtype, with both tumour cell-intrinsic and microenvironmental effects, highlighting that both glioblastoma cell plasticity and their tumour-microenvironment interactions are important contributors to tumour phenotypes.
2018-11-05 | GSE121718 | GEO
Project description:Glioblastomas in adult patients are classified into four subtypes, IDH, MES, RTK I, and RTK II, based on DNA-methylation and RNA-expression data. Tumour subtype transitions are common during treatment, and transitions to the mesenchymal (MES) subtype are associated with therapy resistance and adverse prognosis. Here, we present DNA methylome and histone modification data of glioblastoma primary tumours and find that glioblastoma subtypes differ in their enhancer landscapes. Using Core Regulatory Circuitry analysis of chromatin and orthogonal analysis of RNA-derived gene regulatory networks, we identified 38 subtype Master Regulators whose cell population-specific activities we further mapped in single-cell RNA sequencing data. These analyses identified the oligodendrocyte precursor marker and chromatin modifier SRY-Box 10 (SOX10) as a master regulator in RTK I tumours. In vitro functional studies demonstrated that SOX10 loss causes a subtype switch analogous to the proneural-mesenchymal Transition observed in patients at the transcriptomic, epigenetic and phenotypic levels. This subtype transition is dependent on the activity of the SOX10 and enhancer co-factor Bromodomain Containing 4 (BRD4). Sox10 repression in an in vivo syngeneic graft glioblastoma mouse model results in increased tumour invasion, immune cell infiltration and significantly reduced survival, reminiscent of progressive human glioblastoma. These results identify SOX10 as a bona fide master regulator of the RTK I subtype, with both tumour cell-intrinsic and microenvironmental effects, highlighting that both glioblastoma cell plasticity and their tumour-microenvironment interactions are important contributors to tumour phenotypes.
2018-11-05 | GSE121717 | GEO
Project description:Glioblastomas in adult patients are classified into four subtypes, IDH, MES, RTK I, and RTK II, based on DNA-methylation and RNA-expression data. Tumour subtype transitions are common during treatment, and transitions to the mesenchymal (MES) subtype are associated with therapy resistance and adverse prognosis. Here, we present DNA methylome and histone modification data of glioblastoma primary tumours and find that glioblastoma subtypes differ in their enhancer landscapes. Using Core Regulatory Circuitry analysis of chromatin and orthogonal analysis of RNA-derived gene regulatory networks, we identified 38 subtype Master Regulators whose cell population-specific activities we further mapped in single-cell RNA sequencing data. These analyses identified the oligodendrocyte precursor marker and chromatin modifier SRY-Box 10 (SOX10) as a master regulator in RTK I tumours. In vitro functional studies demonstrated that SOX10 loss causes a subtype switch analogous to the proneural-mesenchymal Transition observed in patients at the transcriptomic, epigenetic and phenotypic levels. This subtype transition is dependent on the activity of the SOX10 and enhancer co-factor Bromodomain Containing 4 (BRD4). Sox10 repression in an in vivo syngeneic graft glioblastoma mouse model results in increased tumour invasion, immune cell infiltration and significantly reduced survival, reminiscent of progressive human glioblastoma. These results identify SOX10 as a bona fide master regulator of the RTK I subtype, with both tumour cell-intrinsic and microenvironmental effects, highlighting that both glioblastoma cell plasticity and their tumour-microenvironment interactions are important contributors to tumour phenotypes.
2018-11-05 | GSE121722 | GEO
Project description:Glioblastomas in adult patients are classified into four subtypes, IDH, MES, RTK I, and RTK II, based on DNA-methylation and RNA-expression data. Tumour subtype transitions are common during treatment, and transitions to the mesenchymal (MES) subtype are associated with therapy resistance and adverse prognosis. Here, we present DNA methylome and histone modification data of glioblastoma primary tumours and find that glioblastoma subtypes differ in their enhancer landscapes. Using Core Regulatory Circuitry analysis of chromatin and orthogonal analysis of RNA-derived gene regulatory networks, we identified 38 subtype Master Regulators whose cell population-specific activities we further mapped in single-cell RNA sequencing data. These analyses identified the oligodendrocyte precursor marker and chromatin modifier SRY-Box 10 (SOX10) as a master regulator in RTK I tumours. In vitro functional studies demonstrated that SOX10 loss causes a subtype switch analogous to the proneural-mesenchymal Transition observed in patients at the transcriptomic, epigenetic and phenotypic levels. This subtype transition is dependent on the activity of the SOX10 and enhancer co-factor Bromodomain Containing 4 (BRD4). Sox10 repression in an in vivo syngeneic graft glioblastoma mouse model results in increased tumour invasion, immune cell infiltration and significantly reduced survival, reminiscent of progressive human glioblastoma. These results identify SOX10 as a bona fide master regulator of the RTK I subtype, with both tumour cell-intrinsic and microenvironmental effects, highlighting that both glioblastoma cell plasticity and their tumour-microenvironment interactions are important contributors to tumour phenotypes.
2019-06-20 | GSE133040 | GEO