Analysis of lncRNA-mRNA co-expression profiles in CD133 positive cancer stem-like cells from osteosarcoma cell line Saos-2
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE207333 | GEO | 2024/06/01
REPOSITORIES: GEO
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Project description:Background: Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes. With the improved resolution offered by array comparative genomic hybridization (array CGH) platforms, it is possible to readily detect cryptic microaberrations in genomic DNA. The identification of these microaberrations in genetic syndromes is currently the focus of many array CGH studies, but there have been no analyses to date documenting the occurrence of microaberrations in tumors. Results: In this study we utilized high-resolution oligonucleotide array CGH to identify novel microaberrations under ~750 kb in four OS-derived cell lines: U-2 OS, HOS, MG-63 and SAOS-2. Comparative analysis of these alterations showed that SAOS-2 harbored the most microaberrations at 17, followed by MG-63 with 11, HOS with 9 and U-2 OS with 6. SAOS-2, which has a TP53 mutation, exhibited the highest level of chromosomal instability in previous studies by our group; whereas U-2 OS, which has wild-type p53 status, exhibited the least instability. A consensus region of gain at 5p15.33 was detected in three of the four OS-derived cell lines (HOS, MG-63 and SAOS-2) by aCGH. Of these consensus gains, one was a microaberration of 500 kb in SAOS-2, and confirmed by fluorescence in situ hybridization analysis. It should be noted that this microaberration is immediately telomeric to the TERT gene, which also showed gain. TERT is correlated with increased tumor aggression, as well as decreased progression free survival in OS patients. Keywords: comparative genomic hybridization (array CGH)
2007-12-31 | GSE7077 | GEO
Project description:Background Osteosarcoma (OS) is the most common malignant bone tumor in children and adolescents. The survival rate of patients with metastatic disease remains very dismal. Nevertheless, metastasis is a complex process and a single-level analysis is not likely to identify its key biological determinants. In this study, we used a systems biology approach to identify common metastatic pathways that are jointly supported by both mRNA and protein expression data in two distinct human metastatic OS models. Results mRNA expression microarray and N-linked glycoproteomic analyses were performed on two commonly used isogenic pairs of human metastatic OS cell lines, namely HOS/143B and SaOS-2/LM7. Pathway analysis of the differentially regulated genes and glycoproteins separately revealed pathways associated to metastasis including cell cycle regulation, immune response, and epithelial-to-mesenchymal-transition. However, no common significant pathway was found at both genomic and proteomic levels between the two metastatic models, suggesting a very different biological nature of the cell lines. To address this issue, we used a topological significance analysis based on a “shortest path” algorithm to identify topological nodes, which uncovered additional biological information with respect to the genomic and glycoproteomic profiles but remained hidden from the direct analyses. Pathway analysis of the significant topological nodes revealed a striking concordance between the models and identified significant common pathways, including “Cytoskeleton remodeling/TGF/WNT”, “Cytoskeleton remodeling/Cytoskeleton remodeling”, and “Cell adhesion/Chemokines and adhesion”. Of these, the “Cytoskeleton remodeling/TGF/WNT” was the top ranked common pathway from the topological analysis of the genomic and proteomic profiles in the two metastatic models. The up-regulation of proteins in the “Cytoskeleton remodeling/TGF/WNT” pathway in the SaOS-2/LM7 and HOS/143B models was further validated using an orthogonal Reverse Phase Protein Array platform. Conclusions In this study, we used a systems biology approach by integrating genomic and proteomic data to identify key and common metastatic mechanisms in OS. The use of the topological analysis revealed hidden biological pathways that are known to play critical roles in metastasis. Wnt signaling has been previously implicated in OS and other tumors, and inhibitors of Wnt signaling pathways are available for clinical testing. Further characterization of this common pathway and other topological pathways identified from this study may lead to a novel therapeutic strategy for the treatment of metastatic OS. In this study we analyzed two human metastatic OS cell lines and their parental non-metastatic lines. The two human metastatic OS cell line models were HOS/143B and SaOS-2/LM7. The HOS cell line, originally known as M.T. and later as TE-85, was derived from an OS of a 13 year-old girl. The 143B metastatic subline was generated from HOS by a Ki-RAS oncogene transformation [Rhim, J.S., et al., Characterization of human cells transformed in vitro by N-methyl-N'-nitro-N-nitrosoguanidine. Int J Cancer, 1977. 19(4): p. 505-10.]. The SaOS-2 cell was derived from an OS of an 11 year-old girl, and its metastatic subline LM7, was developed by multiple in vivo selection of SaOS-2 cells in mice with pulmonary metastases [Jia, S.F., L.L. Worth, and E.S. Kleinerman, A nude mouse model of human osteosarcoma lung metastases for evaluating new therapeutic strategies. Clin Exp Metastasis, 1999. 17(6): p. 501-6.]. No replicates were included.
2012-04-24 | E-GEOD-37552 | biostudies-arrayexpress
Project description:Three osteosarcoma (OS) cell lines (MG-63, Saos-2 and U-2 OS) and 1 osteoblastic cell line (hFOB1.19) were collected for this work. MG-63 was kindly provided by Dr. Agi Grigoriadis from University College London. Saos-2, U-2 OS and hFOB1.19 were purchased from ATCC. All cells used were kept in exponential phase of growth. Total RNA was extracted using the RNeasy Total RNA Isolation kit (QIAGEN). The quality and purity of the products were controlled by Agilent 2100. The final synthesized biotinylated cDNAs were hybridized to Affymetrix GeneChip® U133A 2.0 arrays following the protocol strictly. Arrays were scanned with the Affymetrix scanner 3000. Data analysis was performed by Microarray Suite 5.0 after pre-standard procedure. Link-test on datasets from both SELDI-TOF-MS and microarray high-throughput analysis platforms can accelerate the identification of tumor biomarkers. The results confirmed that CYC-1 with important biomedical function was an effective candidate biomarker for osteosarcoma early diagnosis.
2011-09-15 | E-GEOD-14789 | biostudies-arrayexpress
Project description:Three osteosarcoma (OS) cell lines (MG-63, Saos-2 and U-2 OS) and 1 osteoblastic cell line (hFOB1.19) were collected for this work. MG-63 was kindly provided by Dr. Agi Grigoriadis from University College London. Saos-2, U-2 OS and hFOB1.19 were purchased from ATCC. All cells used were kept in exponential phase of growth. Total RNA was extracted using the RNeasy Total RNA Isolation kit (QIAGEN). The quality and purity of the products were controlled by Agilent 2100. The final synthesized biotinylated cDNAs were hybridized to Affymetrix GeneChip® U133A 2.0 arrays following the protocol strictly. Arrays were scanned with the Affymetrix scanner 3000. Data analysis was performed by Microarray Suite 5.0 after pre-standard procedure.
2011-09-16 | GSE14789 | GEO
Project description:Background: Osteosarcoma (OS) is a very aggressive bone tumor characterized by highly abnormal complex karyotypes. With the improved resolution offered by array comparative genomic hybridization (array CGH) platforms, it is possible to readily detect cryptic microaberrations in genomic DNA. The identification of these microaberrations in genetic syndromes is currently the focus of many array CGH studies, but there have been no analyses to date documenting the occurrence of microaberrations in tumors. Results: In this study we utilized high-resolution oligonucleotide array CGH to identify novel microaberrations under ~750 kb in four OS-derived cell lines: U-2 OS, HOS, MG-63 and SAOS-2. Comparative analysis of these alterations showed that SAOS-2 harbored the most microaberrations at 17, followed by MG-63 with 11, HOS with 9 and U-2 OS with 6. SAOS-2, which has a TP53 mutation, exhibited the highest level of chromosomal instability in previous studies by our group; whereas U-2 OS, which has wild-type p53 status, exhibited the least instability. A consensus region of gain at 5p15.33 was detected in three of the four OS-derived cell lines (HOS, MG-63 and SAOS-2) by aCGH. Of these consensus gains, one was a microaberration of 500 kb in SAOS-2, and confirmed by fluorescence in situ hybridization analysis. It should be noted that this microaberration is immediately telomeric to the TERT gene, which also showed gain. TERT is correlated with increased tumor aggression, as well as decreased progression free survival in OS patients. Experiment Overall Design: This genome-wide analysis is the first study to utilize oligonucleotide array CGH to identify microaberrations in OS, likely to contain genes involved in OS tumor oncogenesis. A better understanding of the underlying molecular genetic events leading to tumor initiation and progression could result in the identification of prognostic markers and therapeutic targets.
2008-06-18 | E-GEOD-7077 | biostudies-arrayexpress
Project description:To identify the target gene of ΔNp63α, in osteosarcoma cells, we performed the global gene expression profiling in SaOS- 2 cells stably overexpressing the ΔNp63α gene (SaOS- 2-ΔNp63α). ΔNp63α target genes were identified by comparison with genes expressed from SaOS-2-EV transfected with an empty vector ( SaOS-2-EV).
2014-02-27 | GSE54942 | GEO
Project description:Analysis of lncRNA-mRNA co-expression profiles in CD133 positive cancer stem-like cells from osteosarcoma cell line Saos-2
| PRJNA854881 | ENA
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.
2022-03-01 | GSE191215 | GEO
Project description:We performed DNase-seq on two osteosarcoma cell lines, Saos-2 and U2OS. This was done to identify regulatory regions within the genomes of these cells. We performed hotspot calling on these data using Hotspot2 (https://github.com/Altius/hotspot2) to identify 51,556 DNaseI hypersensitive sites within Saos-2 cells and 63,388 within U2OS cells.
2020-01-03 | GSE142160 | GEO
Project description:Analysis of the immunopeptidome of Human Leukocyte Antigen(HLA)class I of SaOS-2 osteosarcoma cells transfected with pBR322 vector only, and 2 mutants of TP53 protein namely R175H and R273H.
2022-10-13 | PXD034044 | Pride