Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: phs000505.v1.p1
PROVIDER: PRJNA94461 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The concept of tumor stem cells (TSCs) provides a new paradigm for understanding tumor biology, although it remains unclear whether TSCs will prove to be a more robust model than traditional cancer cell lines. We demonstrate marked phenotypic and genotypic differences between primary human tumor-derived TSCs and their matched glioma cell lines. TSCs derived directly from primary glioblastomas harbor extensive similarities to normal NSC and recapitulate the genotype, gene expression patterns and in vivo biology of human glioblastomas. By contrast, the matched, traditionally grown tumor cell lines do not secondary to in vitro genomic alterations. These findings suggest that TSCs may be a more reliable model than many commonly utilized cancer cell lines for understanding the biology of primary human tumors. Analysis of gene expression data is described in Lee et al., Cancer Cell, 2006. Keywords: Gene expression profiling of primary GBM tumors and their derivative cells
2006-05-10 | GSE4536 | GEO
Project description:Glioblastomas are the most lethal tumors affecting the central nervous system in adults. Simple and inexpensive syngeneic in vivo models that closely mirror human glioblastoma, including interactions between tumor and immune cells, are urgently needed for deciphering glioma biology and developing more effective treatments. Here, we generated mouse glioblastoma cell lines by repeated in-vivo passaging of neural stem cells and tumor tissue of a neural stem cell-specific Pten/p53 double-knockout genetic mouse model. Transcriptome and genome analyses of the cell lines revealed molecular heterogeneity comparable to that observed in human glioblastoma. Upon orthotopic transplantation into syngeneic hosts they formed high-grade gliomas that faithfully recapitulated the histopathological characteristics, invasiveness and infiltration by myeloid cells characteristic of human glioblastoma. These features make our cell lines unique and useful tools to study multiple aspects of glioma pathomechanism and test immunotherapies in syngeneic preclinical models.
2021-01-27 | GSE145558 | GEO
Project description:Glioblastomas are the most lethal tumors affecting the central nervous system in adults. Simple and inexpensive syngeneic in vivo models that closely mirror human glioblastoma, including interactions between tumor and immune cells, are urgently needed for deciphering glioma biology and developing more effective treatments. Here, we generated mouse glioblastoma cell lines by repeated in-vivo passaging of neural stem cells and tumor tissue of a neural stem cell-specific Pten/p53 double-knockout genetic mouse model. Transcriptome and genome analyses of the cell lines revealed molecular heterogeneity comparable to that observed in human glioblastoma. Upon orthotopic transplantation into syngeneic hosts they formed high-grade gliomas that faithfully recapitulated the histopathological characteristics, invasiveness and infiltration by myeloid cells characteristic of human glioblastoma. These features make our cell lines unique and useful tools to study multiple aspects of glioma pathomechanism and test immunotherapies in syngeneic preclinical models.
2021-01-27 | GSE145557 | GEO
Project description:<p>We used massively parallel, paired-end sequencing of expressed transcripts (RNA-seq) to detect novel gene fusions in short-term cultures of glioma stem-like cells freshly isolated from nine patients carrying primary glioblastoma multiforme (GBM). The culture of primary GBM tumors under serum-free conditions selects cells that retain phenotypes and genotypes closely mirroring primary tumor profiles as compared to serum-cultured glioma cell lines that have largely lost their developmental identities.</p>
| phs000505 | dbGaP
Project description:We compared a large panel of human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines to identify cell lines that preserve the transcriptome of human glioblastomas most closely, thereby allowing identification of shared therapeutic targets. We used Affymetrix HG-U133 Plus 2.0 microarrays to compare human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines.
2011-02-12 | GSE23806 | GEO
Project description:The concept of tumor stem cells (TSCs) provides a new paradigm for understanding tumor biology, although it remains unclear whether TSCs will prove to be a more robust model than traditional cancer cell lines. We demonstrate marked phenotypic and genotypic differences between primary human tumor-derived TSCs and their matched glioma cell lines. TSCs derived directly from primary glioblastomas harbor extensive similarities to normal NSC and recapitulate the genotype, gene expression patterns and in vivo biology of human glioblastomas. By contrast, the matched, traditionally grown tumor cell lines do not secondary to in vitro genomic alterations. These findings suggest that TSCs may be a more reliable model than many commonly utilized cancer cell lines for understanding the biology of primary human tumors. Analysis of gene expression data is described in Lee et al., Cancer Cell, 2006. Experiment Overall Design: To further understand the differences between NBE- and serum-cultured GBM cells, we generated gene expression profiles of NBE-cells, serum-cells, their derived xenograft tumors, and the original GBMs taken directly from the patients. NBE- and serum-cultured GBM cells from different passages were also included in the analyses in order to evaluate the potential effects of in vitro passage number on gene expression.
2008-06-13 | E-GEOD-4536 | biostudies-arrayexpress
Project description:When using cell lines to study cancer, phenotypic similarity to the original tumor is paramount. Yet, little has been done to characterize how closely Merkel cell carcinoma (MCC) cell lines model native tumors. To determine their similarity to MCC tumor samples, we characterized MCC cell lines via gene expression microarrays. Using whole transcriptome gene expression signatures and a computational bioinformatic approach, we identified significant differences between variant cell lines (UISO, MCC13, and MCC26) and fresh frozen MCC tumors. Conversely, the classic WaGa and Mkl-1 cell lines more closely represented the global transcriptome of MCC tumors. When compared to publicly available cancer lines, WaGa and Mkl-1 cells were similar to other neuroendocrine tumors, but the variant cell lines were not. WaGa and Mkl-1 cells grown as xenografts in mice had histological and immunophenotypical features consistent with MCC, while UISO xenograft tumors were atypical for MCC. Spectral karyotyping and short tandem repeat analysis of the UISO cells matched the original cell line's description, ruling out contamination. Our results validate the use of transcriptome analysis to assess the cancer cell line representativeness and indicate that UISO, MCC13, and MCC26 cell lines are not representative of MCC tumors, whereas WaGa and Mkl-1 more closely model MCC. RNA was extracted from MCC cell lines and MCC and SCLC tumor samples and hybridized to Affymetrix microarrays for transcriptome profiling.
2014-12-23 | E-GEOD-50451 | biostudies-arrayexpress
Project description:We compared a large panel of human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines to identify cell lines that preserve the transcriptome of human glioblastomas most closely, thereby allowing identification of shared therapeutic targets. We used Affymetrix HG-U133 Plus 2.0 microarrays to compare human glioblastoma stem-like (GS) cell lines, corresponding primary tumors and conventional glioma cell lines. We extracted total RNA from 32 conventional glioma cell lines, 12 GS cell lines (8 in two different passages), 7 clonal sublines derived from two GS lines, 12 original tumors, and 4 monolayer cultures established from the same tumors as GS-lines using standard serum conditions.
2011-02-12 | E-GEOD-23806 | biostudies-arrayexpress
Project description:When using cell lines to study cancer, phenotypic similarity to the original tumor is paramount. Yet, little has been done to characterize how closely Merkel cell carcinoma (MCC) cell lines model native tumors. To determine their similarity to MCC tumor samples, we characterized MCC cell lines via gene expression microarrays. Using whole transcriptome gene expression signatures and a computational bioinformatic approach, we identified significant differences between variant cell lines (UISO, MCC13, and MCC26) and fresh frozen MCC tumors. Conversely, the classic WaGa and Mkl-1 cell lines more closely represented the global transcriptome of MCC tumors. When compared to publicly available cancer lines, WaGa and Mkl-1 cells were similar to other neuroendocrine tumors, but the variant cell lines were not. WaGa and Mkl-1 cells grown as xenografts in mice had histological and immunophenotypical features consistent with MCC, while UISO xenograft tumors were atypical for MCC. Spectral karyotyping and short tandem repeat analysis of the UISO cells matched the original cell line's description, ruling out contamination. Our results validate the use of transcriptome analysis to assess the cancer cell line representativeness and indicate that UISO, MCC13, and MCC26 cell lines are not representative of MCC tumors, whereas WaGa and Mkl-1 more closely model MCC.
2014-12-23 | GSE50451 | GEO