Project description:Gain or loss of genes and deregulation of gene expression can result in cumulative and progressive disruptions of normal cellular functions. Cancer-specific changes in gene expression play an essential role in cancer occurrence, and ultimately lead to cancer-related self-sufficiency in growth signals, insensitivity to growth inhibitory signals, evasion of apoptosis, limitless replicative potential, angiogenesis, and metastasis. We aimed to analyse such changes in gene expression related to osteosarcoma. Keywords: Comparative We performed genome-wide comparison of gene expression and identified genes that are differentialy expressed in osteosarcoma (U2OS, MG63) cell lines relative to normal human osteoblasts (HOB)
Project description:Transcriptional profiling of MSC, Osteoblasts and U2OS cells. The aim was to quantitate relative gene expression in MSC, osteoblasts and U2OS. MSC and osteoblasts were used as normal cells in this study because osteosarcoma most likely originates from MSC or osteoblasts.
Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and osteosarcoma cell lines were compared.
Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and osteosarcoma cell lines were compared. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays
Project description:Gain or loss of genes and deregulation of gene expression can result in cumulative and progressive disruptions of normal cellular functions. Cancer-specific changes in gene expression play an essential role in cancer occurrence, and ultimately lead to cancer-related self-sufficiency in growth signals, insensitivity to growth inhibitory signals, evasion of apoptosis, limitless replicative potential, angiogenesis, and metastasis. We aimed to analyse such changes in gene expression related to osteosarcoma. We performed genome-wide comparison of gene expression and identified genes that are differentialy expressed in osteosarcoma tumour samples relative to normal human osteoblasts (HOB)
Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and parental HOBs were compared.
Project description:This SuperSeries is composed of the following subset Series: GSE27900: Gene expression analysis of mesenchymal stem cells (MSC), osteoblasts and the U2OS (osteosarcoma) cell line GSE35573: ChIP-seq analysis of H3K4Me3- and H3K27Me3-marked chromatin in mesenchymal stem cells (MSCs), osteoblasts derived from MSCs and the osteosarcoma cell line U2OS Refer to individual Series
Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and parental HOBs were compared. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays