NORMALvs late stage OSCC
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE56532 | GEO | 2014/09/30
SECONDARY ACCESSION(S): PRJNA243904
REPOSITORIES: GEO
Similar Datasets
Project description:In order to identify genes with differential gene expression or alternative splicing between the groups Normal and late stage OSCC (Stage III and IV), we study 16 hybridizations (6 normal; 10 late stage OSCC) on the HumanGene10ST array using mixed model analysis of variance. 1323 genes with significant gene expression differences between the groups and 357 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 129 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01). Algorithm ANOVA study of 16 HumanGene10ST files. Factorial arrangment NORMALvs late stage OSCC samples
2014-09-30 | E-GEOD-56532 | biostudies-arrayexpress
Project description:In order to identify genes with differential gene expression or alternative splicing between the groups naive and activated we study 4 hybridizations on the Human Exon 1.0 ST array using mixed model analysis of variance. 1904 genes with significant gene expression differences between the groups and 1603 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 427 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01). Algorithm ANOVA study of 4 Human Exon 1.0 ST files.
2008-06-20 | GSE11832 | GEO
Project description:In order to identify genes with differential gene expression or alternative splicing between the groups LL-sh4, uninfected, and shGFP we study 6 hybridizations on the Human Exon 1.0 ST array using mixed model analysis of variance. 842 genes with significant gene expression differences between the groups and 1118 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 192 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01). Algorithm ANOVA study of 6 Human Exon 1.0 ST files.
2008-06-20 | GSE11833 | GEO
Project description:In order to identify genes with differential gene expression or alternative splicing between the groups naive and activated we study 4 hybridizations on the Human Exon 1.0 ST array using mixed model analysis of variance. 1904 genes with significant gene expression differences between the groups and 1603 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 427 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01). Algorithm ANOVA study of 4 Human Exon 1.0 ST files. Factorial arrangment
2010-09-21 | E-GEOD-11832 | biostudies-arrayexpress
Project description:In order to identify genes with differential gene expression or alternative splicing between the groups LL-sh4, uninfected, and shGFP we study 6 hybridizations on the Human Exon 1.0 ST array using mixed model analysis of variance. 842 genes with significant gene expression differences between the groups and 1118 genes with significant exon-group interaction (a symptom of alternative splicing) were found, including 192 genes with both gene and possible splicing differences (p<0.01). Contingency table analysis of the set of studied genes and a dataset of known pathways and gene classifications revealed that the set of alternatively spliced and expressed genes were found to be significantly over-represented in groups of the GOMolFn, GOProcess, GOCellLoc, and Pathway classes (p<0.01). Algorithm ANOVA study of 6 Human Exon 1.0 ST files. Factorial arrangment
2010-09-15 | E-GEOD-11833 | biostudies-arrayexpress
Project description:Background: Oral squamous cell carcinoma (OSCC) is often diagnosed at a late stage and may be malignantly transformed from oral leukoplakia (OL). This study aimed to identify potential plasma microRNAs (miRNAs) for the early detection of oral cancer. Methods: Plasma from normal, OL, and OSCC patients were evaluated. Small RNA sequencing was used to screen differently expressed miRNAs among the groups. Next, these miRNAs were validated with individual samples by quantitative real-time polymerase chain reaction (qRT-PCR) assays. The possible physiological roles of the identified miRNAs were further investigated using bioinformatics analysis. Results: Three miRNAs (miR-222-3p, miR-150-5p, and miR-423-5p) were identified as differentially expressed among groups; miR-222-3p and miR-423-5p negatively correlated with T stage, lymph node metastasis status, and clinical stage. A high diagnostic accuracy (Area under curve = 0.88) was demonstrated for discriminating OL from OSCC. Bioinformatics analysis reveals that miR-423-5p and miR-222-3p are significantly over-expressed in oral cancer tissues and involved in various cancer pathways. Conclusions: The three plasma miRNA panel may be useful to monitor malignant progression from OL to OSCC and as potential biomarkers for early detection of oral cancer.
2018-04-17 | GSE104440 | GEO
Project description:Differentiating erythroid cells execute a unique gene expression program that insures synthesis of the appropriate proteome at each stage of maturation. Standard expression microarrays provide important insight into erythroid gene expression, but cannot detect qualitative changes in transcript structure, mediated by RNA processing, that alter structure and function of encoded proteins. We analyzed stage-specific changes in the late erythroid transcriptome via use of high resolution microarrays that detect altered expression of individual exons. Ten differentiation-associated changes in erythroblast splicing patterns were identified, including the previously known activation of protein 4.1R exon 16 splicing. Six new alternative splicing switches involving enhanced inclusion of internal cassette exons were discovered, as well as three changes in use of alternative first exons. All of these erythroid stage-specific splicing events represent activated inclusion of authentic annotated exons, suggesting they represent an active regulatory process rather than a general loss of splicing fidelity. The observation that three of the regulated transcripts encode RNA binding proteins (SNRP70, HNRPLL, MBNL2) may indicate significant changes in the RNA processing machinery of late erythroblasts. Together these results support the existence of a regulated alternative pre-mRNA splicing program that is critical for late erythroid differentiation. Keywords: Time course; Splicing-sensitive microarray
2009-07-01 | GSE14588 | GEO
Project description:Differentiating erythroid cells execute a unique gene expression program that insures synthesis of the appropriate proteome at each stage of maturation. Standard expression microarrays provide important insight into erythroid gene expression, but cannot detect qualitative changes in transcript structure, mediated by RNA processing, that alter structure and function of encoded proteins. We analyzed stage-specific changes in the late erythroid transcriptome via use of high resolution microarrays that detect altered expression of individual exons. Ten differentiation-associated changes in erythroblast splicing patterns were identified, including the previously known activation of protein 4.1R exon 16 splicing. Six new alternative splicing switches involving enhanced inclusion of internal cassette exons were discovered, as well as three changes in use of alternative first exons. All of these erythroid stage-specific splicing events represent activated inclusion of authentic annotated exons, suggesting they represent an active regulatory process rather than a general loss of splicing fidelity. The observation that three of the regulated transcripts encode RNA binding proteins (SNRP70, HNRPLL, MBNL2) may indicate significant changes in the RNA processing machinery of late erythroblasts. Together these results support the existence of a regulated alternative pre-mRNA splicing program that is critical for late erythroid differentiation. Keywords: Time course; Splicing-sensitive microarray For Exon array hybridizations: 3 biological replicates of day 7, 2 biological replicates of day 10, 3 biological replicates of day 14; For HJAY array hybridizations: 5 biological replicates each were analyzed from day 7 and day 14. One day 14 replicate was deemed an outlier and removed from subsequent analyses.
2010-05-16 | E-GEOD-14588 | biostudies-arrayexpress
Project description:Tumor invasion and metastasis are the underlying cause of clinical refractoriness in oral squamous carcinoma (OSCC). Energy metabolism reprogramming has been identified as a vital process mediating tumor metastasis, indicating an urgent need for in-depth investigate into the specific mechanisms of tumor energy metabolism. Here, we identify an RNA-binding protein, DAZ associate protein 1 (DAZAP1), as a tumor-promoting factor to play an important role in OSCC progression. In vitro assays demonstrated that DAZAP1 was significantly upregulated in OSCC, while enhanced the migration and invasion of OSCC cells as well as epithelial-mesenchymal transition (EMT). RNA-seq analysis and experimental validation showed that DAZAP1 can regulate mitochondrial energy metabolism in OSCC. Mechanistically, we found that DAZAP1 underwent liquid-liquid phase separation (LLPS) to accumulate in the nucleus and enhanced cytochrome-c oxidase 16 (COX16) expression via regulating pre-mRNA alternative splicing, thereby promoted OSCC invasion and mitochondrial respiration. Finally, we observed a significant positive correlation between DAZAP1 and COX16, and high expression of these two proteins were both closely associated with poor prognosis in OSCC patients. Together, our study reveals a novel regulatory mechanism of DAZPA1 in mitochondrial metabolism and tumor development of OSCC by phase separation, suggesting the potential role of DAZAP1 in developing therapeutic strategies against OSCC invasion and metastasis.
2024-07-31 | GSE263795 | GEO