Project description:We performed gene expression profiling for designed oligooxopiperazines targeting the hypoxia-inducible transcription factor complex, which resulted in an effective inhibition of hypoxia-inducible genes with relatively minimal perturbation of non-targeted signaling pathways. Hypoxic A549 cells were treated with transcriptional inhibitors BB2-162, BB2-125, BB2-282 or vehicle and their expression profiles were compared to normoxic A549 cells treated with vehicle.
Project description:We performed gene expression profiling with oligonucleotide microarrays of hydrogen-bond surrogate targheting hypoxia-inducibletranscription factior complex, which resulted in an effective inhibition of hypoxia-inducible genes with relatively minimal perturbation of non-targeted signaling pathways. Hypoxic HeLa cells were treated with transcriptional inhibitors HBS 1, HBS 2 or vehicle and their expression profiles were compared to normoxic HeLa cells
Project description:Lhx8 is a member of the LIM-homeobox transcription factor family and preferentially expressed in oocytes and germ cells within the mouse ovary. We discovered that Lhx8 knockout females lose oocytes within 7 days after birth. At the time of birth, histological examination shows that Lhx8 deficient (Lhx8(-/-)) ovaries are grossly similar to the newborn wild type ovaries. Lhx8(-/-) ovaries fail to maintain the primordial follicles and the transition from primordial to growing follicles does not occur. Lhx8(-/-) ovaries misexpress oocyte-specific genes such as Gdf9, Pou5f1, and Nobox. Very rapid loss of oocytes may partly be due to drastic the down-regulation of Kit and Kitl in Lhx8(-/-) ovaries. We compared Lhx8(-/-) and wild-type ovaries using Affymetrix 430 2.0 microarray platform. Eighty (44%) of 180 of the genes down-regulated more than 5-fold in Lhx8(-/-) ovaries were preferentially expressed in oocytes, whereas only 3 (2%) of 146 genes up-regulated more than 5-fold in the absence of Lhx8 were preferentially expressed in oocytes. In addition, the comparison of genes regulated in Lhx8(-/-) and Nobox(-/-) newborn ovaries discovered a common set of 34 genes whose expression level is affected in both Lhx8 and Nobox deficient mice. Our findings show that Lhx8 is a critical factor for maintenance and differentiation of the oocyte during early oogenesis and it acts in part by down-regulating the Nobox pathway. This SuperSeries is composed of the following subset Series: GSE7774: Transcriptional changes in Lhx8 Null newborn mouse ovaries GSE7775: Microarray Analyses of Newborn Mouse Ovaries Lacking Nobox GSE7776: Ovarian Transcript Expression in Newborn Mouse Refer to individual Series
Project description:Microarray Analyses of Newborn Mouse lens lacking HSF4. Hsf4 is essential for lens development. Newborn Mouse lens expression pattern of HSF4-/- and wildtype.
Project description:Glioma study (gene expression and CGH): Brain tumours are the most common solid tumors in children and have the highest mortality rate of all solid pediatric tumours. Despite advances in multimodality therapy, children with high-grade gliomas invariably have an Overall Survival (OS) around 20% at 5 years. There is growing evidence that the biological knowledge and the histo-prognostic classifications used for the management of adult HGG may not fully apply to children. Interobserver variability and specificity of pediatric tumors with respect to the World Health Organization (WHO) classification have lead to a high rate of misclassification in multi-institutional studies. From 90 biopsies of children with HGG (High Grade Glioma), comprising 37 DIPG (Diffuse Infiltrating Pontine Glioma), 73 extracted RNA have been hybrized on Agilent 4x44K GE arrays and 71 extracted DNA have been hybrized on Agilent 44K and 4x44K CGH arrays. The dataset contains raw data files from Feature Extraction. Genomic data were jointly analysed with clinical and histological data comprising: date_of_diagnosis, date_of_last_news, WHO_grade, deceased_at_median_survival_time, deceased_at_2years, localization of the tumour in brain, gadolinium_T1_inf_T2. A specific analysis was performed on DIPG.
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 32 total samples in 16 pairs were analyzed in postmortem tissue from the anterior cingulate cortex.
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 30 total samples in 15 pairs were analyzed in postmortem tissue from the dorsolateral prefrontal cortex.
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 26 total samples in 13 pairs were analyzed in postmortem tissue from the dorsolateral prefrontal cortex.
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 28 total samples in 14 pairs were analyzed in postmortem tissue from the amygdala.
Project description:Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details). 28 total samples in 14 pairs were analyzed in postmortem tissue from the dorsolateral prefrontal cortex.