Gene expression after human SW982 cells treated with GINS1 knockdown by a microarray profiling (Affymetrix)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE109469 | GEO | 2019/01/01
REPOSITORIES: GEO
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Project description:Anlotinib could significantly suppresses synovial sarcoma proliferation in PDTX model and cell lines. To identify potential anlotinib targets in synovial sarcoma, we performed a microarray profiling (Affymetrix) in human SW982 cells treated with anlotinib.
2019-01-01 | GSE109468 | GEO
Project description:Synovial sarcoma is a rare malignancy characterized by the presence of a specific chromosomal translocation t(X;18) that results in the formation of a fusion protein SYT-SSX. Because it is believed that synovial sarcoma arises from mesenchymal stem or progenitor cells, we used human bone marrow-derived mesenchymal stem cells (MSCs) to determine the changes in gene expression caused by this oncogene in untransformed MSCs.
2011-09-26 | GSE26563 | GEO
Project description:Synovial sarcoma-like tumors were generated in mice by conditionally expressing the human t(X;18) translocation-derived SYT-SSX2 fusion protein. Using a Tamoxifen-inducible CreER system, we show here that sporadic expression of SYT-SSX2 across multiple tissue types leads to exclusive formation of synovial sarcoma-like tumors while its widespread expression is lethal. CreER-based sporadic expression both avoids the severe early developmental phenotypes associated with widespread SYT-SSX2 expression and better models natural pathogenesis of cancers where transformed cells usually arise within an environment of largely normal cells. Experiment Overall Design: Genetically engineered mice capable of conditionally expressing the human synovial sarcoma-associated SYT-SSX2 fusion oncogene were mated with genetically engineered mice expressing the CreER fusion protein from ROSA locus. The progenies harboring both CreER and SYT-SSX2 were followed up with or without tamoxifen injection. Tumors were generated in these mice that were dissected out, RNA extracted, and subjected to expression profiling by microarray analysis.
2009-04-24 | E-GEOD-14469 | biostudies-arrayexpress
Project description:Synovial sarcoma is a rare malignancy characterized by the presence of a specific chromosomal translocation t(X;18) that results in the formation of a fusion protein SYT-SSX. Because it is believed that synovial sarcoma arises from mesenchymal stem or progenitor cells, we used human bone marrow-derived mesenchymal stem cells (MSCs) to determine the changes in gene expression caused by this oncogene in untransformed MSCs. In 2 independent experiments, human bone marrow-derived MSCs were infected with retrovirus carrying either control vector (pOZ) or SYT-SSX2 expression vector. Total cellular RNA was extracted 4 days post-infection and utilized for microarray analysis on Affymetrix arrays.
2011-09-25 | E-GEOD-26563 | biostudies-arrayexpress
Project description:BackgroundAs the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes related to the same condition in the same species. Although the experimental specifics are similar, typically a different list of statistically significant genes result from each data analysis.ResultsWe propose a statistically-based meta-analytic approach to microarray analysis for the purpose of systematically combining results from the different laboratories. This approach provides a more precise view of genes that are significantly related to the condition of interest while simultaneously allowing for differences between laboratories. Of particular interest is the widely used Affymetrix oligonucleotide array, the results of which are naturally suited to a meta-analysis. A simulation model based on the Affymetrix platform is developed to examine the adaptive nature of the meta-analytic approach and to illustrate the usefulness of such an approach in combining microarray results across laboratories. The approach is then applied to real data involving a mouse model for multiple sclerosis.ConclusionThe quantitative estimates from the meta-analysis model tend to be closer to the "true" degree of differential expression than any single lab. Meta-analytic methods can systematically combine Affymetrix results from different laboratories to gain a clearer understanding of genes' relationships to specific conditions of interest.
| S-EPMC1274254 | biostudies-literature
Project description:Poorly differentiated type synovial sarcoma (PDSS) is a variant of synovial sarcoma characterized by predominantly round or short-spindled cells. Although accumulating evidence from clinicopathological studies suggests a strong association between this variant of synovial sarcoma and poor prognosis, little has been reported on the molecular basis of PDSS. To gain insight into the mechanism(s) that underlie the emergence of PDSS, we analyzed the gene expression profiles of 34 synovial sarcoma clinical samples, including 5 cases of PDSS, using an oligonucleotide microarray. In an unsupervised analysis, the 34 samples fell into 3 groups that correlated highly with histological subtype, namely, monophasic, biphasic, and poorly differentiated types. PDSS was characterized by down-regulation of genes associated with neuronal and skeletal development and cell adhesion, and up-regulation of genes on a specific chromosomal locus, 8q21.11. This locus-specific transcriptional activation in PDSS was confirmed by reverse transcriptase (RT)-PCR analysis of 9 additional synovial sarcoma samples. Our results indicate that PDSS tumors constitute a distinct genetic group based on expression profiles. 34 SYT-SSX fusion transcript-positive SS samples, consisting of 21 MSS, 8 BSS and 5 PDSS cases, were analyzed using an oligonucleotide microarray using a GeneChip Human Genome U133 plus 2.0 array (Affymetrix).
2010-09-01 | E-GEOD-20196 | biostudies-arrayexpress
Project description:We established human pluripotent stem cell (PSC) lines expressing Synovial Sarcoma-specific oncogene, SYT-SSX2, under the control of doxycycline with dose- and time-dependent manner. Gene expression profiles were analyzed to identify early response genes of SYT-SSX2.
2013-01-30 | GSE43080 | GEO
Project description:BackgroundMicroarray technology has become a widely used tool in the biological sciences. Over the past decade, the number of users has grown exponentially, and with the number of applications and secondary data analyses rapidly increasing, we expect this rate to continue. Various initiatives such as the External RNA Control Consortium (ERCC) and the MicroArray Quality Control (MAQC) project have explored ways to provide standards for the technology. For microarrays to become generally accepted as a reliable technology, statistical methods for assessing quality will be an indispensable component; however, there remains a lack of consensus in both defining and measuring microarray quality.ResultsWe begin by providing a precise definition of microarray quality and reviewing existing Affymetrix GeneChip quality metrics in light of this definition. We show that the best-performing metrics require multiple arrays to be assessed simultaneously. While such multi-array quality metrics are adequate for bench science, as microarrays begin to be used in clinical settings, single-array quality metrics will be indispensable. To this end, we define a single-array version of one of the best multi-array quality metrics and show that this metric performs as well as the best multi-array metrics. We then use this new quality metric to assess the quality of microarry data available via the Gene Expression Omnibus (GEO) using more than 22,000 Affymetrix HGU133a and HGU133plus2 arrays from 809 studies.ConclusionsWe find that approximately 10 percent of these publicly available arrays are of poor quality. Moreover, the quality of microarray measurements varies greatly from hybridization to hybridization, study to study, and lab to lab, with some experiments producing unusable data. Many of the concepts described here are applicable to other high-throughput technologies.
| S-EPMC3097162 | biostudies-literature
Project description:We established human pluripotent stem cell (PSC) lines expressing Synovial Sarcoma-specific oncogene, SYT-SSX2, under the control of doxycycline with dose- and time-dependent manner. Gene expression profiles were analyzed to identify early response genes of SYT-SSX2. SYT-SSX2-inducible PSC lines including two hESCs and one hiPSC were analyzed at several time points (0, 6, 12, 18, 24 hours) after doxycycline treatment.
2013-01-30 | E-GEOD-43080 | biostudies-arrayexpress
Project description:Synovial sarcomas account for approximately 10% of all soft-tissue tumors and occur most frequently in young adults. A specific translocation in this sarcoma induces fusion of the SYT gene on chromosome 18 to the SSX genes on chromosome X, leading to proliferation of the tumor cells. The need for non-invasive biomarkers indicating recurrence and activity of this disease has sparked research into short non-coding RNA known as microRNA (miRNA). Patients and Methods: Blood samples of patients with active synovial sarcoma and of healthy donors were collected. Whole blood RNA was extracted and analyzed using an Affymetrix GeneChip miRNA Array v. 4.0. Results: Hierarchical clustering of all covered human mature miRNAs and human pre-miRNAs separated sarcoma samples from control samples. Following hierarchical clustering, the array results were narrowed own to deregulated miRNAs with a fold change > |3.0|, a p-value <0.005, a q-value (FDR-corrected p-value) <0.2 and a similar deregulation of related miRNAs with the same base sequence throughout the array. Unsupervised hierarchical clustering of the panel of miRNAs that met these criteria could again separate sarcoma patients from healthy controls. Conclusion: Our results have identified a specific whole blood miRNA signature that may serve as an independent biomarker for the diagnosis of local recurrence or distant metastasis of synovial sarcoma.
2015-08-03 | E-MTAB-3273 | biostudies-arrayexpress