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GSE9079
Mus musculus
11 Downloadable Samples
Affymetrix Mouse Expression 430A Array (moe430a)
Description
BACKGROUND: Hox genes are implicated in hematopoietic stem cell (HSC) regulation as well as in leukemia development through translocation with the nucleoporin gene NUP98. Interestingly, an engineered NUP98-HOXA10 (NA10) fusion can induce a several hundred-fold expansion of HSCs in vitro and NA10 and the AML-associated fusion gene NUP98-HOXD13 (ND13) have a virtually indistinguishable ability to transform myeloid progenitor cells in vitro and to induce leukemia in collaboration with MEIS1 in vivo. METHODOLOGY/PRINCIPAL FINDINGS: These findings provided a potentially powerful approach to identify key pathways mediating Hox-induced expansion and transformation of HSCs by identifying gene expression changes commonly induced by ND13 and NA10 but not by a NUP98-Hox fusion with a non-DNA binding homedomain mutation (N51S). The gene expression repertoire of purified murine bone marrow Sca-1+Lin- cells transduced with retroviral vectors encoding for these genes was established using the Affymetrix GeneChip MOE430A. Approximately seventy genes were differentially expressed in ND13 and NA10 cells that were significantly changed by both compared to the ND13(N51S) mutant. Intriguingly, several of these potential Hox target genes have been implicated in HSC expansion and self-renewal, including the tyrosine kinase receptor Flt3, the prion protein, Prnp, hepatic leukemia factor, Hlf and Jagged-2, Jag2. CONCLUSIONS: In conclusion this study has identified several novel Hox downstream target genes and provides important new leads to key regulators of the expansion and transformation of hematopoietic stem cells by Hox.
Publication Title
Candidate genes for expansion and transformation of hematopoietic stem cells by NUP98-HOX fusion genes.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 20 Downloadable Samples
- Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Rat Genome U34 Array (rgu34b)
Description
We report a comprehensive large-scale expression profiling analysis of mammalian male germ cells undergoing mitotic growth, meiosis and gametogenesis using High Density Oligonucleotide Microarrays and highly enriched cell populations. Among 11955 rat loci investigated, 1268 were identified as differentially transcribed in germ cells at subsequent developmental stages as compared to total testis, somatic Sertoli cells as well as brain and skeletal muscle controls. The loci were organized into four expression clusters that correspond to somatic, mitotic, meiotic and post-meiotic cell types. This work provides information about expression patterns of approximately 200 genes known to be important during male germ cell development. Approximately 40 of those are included in a group of 121 transcripts for which we report germ cell expression and lack of transcription in three somatic control cell types. Moreover, we demonstrate the testicular expression and transcriptional induction in mitotic, meiotic and/or post-meiotic germ cells of 293 as yet uncharacterized transcripts some of which are likely to encode factors involved in spermatogenesis and fertility. This group also contains numerous potential germ cell specific targets for innovative contraceptives. A graphical display of the data is conveniently accessible through the GermOnline database at <a href="http://www.germonline.org" target="_blank">http://www.germonline.org</a>.
Publication Title
Expression profiling of mammalian male meiosis and gametogenesis identifies novel candidate genes for roles in the regulation of fertility.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Gene 2.1 ST Array (hugene21st)
Description
Continuous stress caused by smoking induces changes in the cell population of small airway epithelium, with basal cell hyperplasia and goblet cell metaplasia at the expense of ciliated cells, and there is now compiling evidence that basal cells play a key role in the early pathogenesis of Chronic Obtructive Pulmonary Disease (COPD).
Publication Title
Microarray analysis identifies defects in regenerative and immune response pathways in COPD airway basal cells.
Sample Metadata Fields
Specimen part, Disease stage
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The human seminal plasma is a potential source of biomarkers for male reproductive disorders. A tissue-profiling analysis of the main organs participating in the secretion of this body fluid was conducted to identify tissue-specific genes along the male reproductive tract.
Publication Title
Identification of genital tract markers in the human seminal plasma using an integrative genomics approach.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Most hepatocellular carcinomas in younger patients from Peru arise from non-cirrhotic livers. Histological examination of the non-tumor liver tissues highlights the presence of clear cell foci in a significant fraction of Peruvian patients with hepatocellular carcinoma.
Publication Title
Liver clear cell foci and viral infection are associated with non-cirrhotic, non-fibrolamellar hepatocellular carcinoma in young patients from South America.
Sample Metadata Fields
Specimen part, Disease stage, Subject
View Samples- Homo sapiens
- 31 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 31 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Omics data integration is becoming necessary to investigate the still unknown genomic mechanisms of complex diseases. During the integration process, many challenges arise such as data heterogeneity, the smaller number of individuals in comparison to the number of parameters, multicollinearity, and interpretation and validation of results due to their complexity and lack of knowledge about biological mechanisms. To overcome some of these issues, innovative statistical approaches are being developed. In this work, we applied penalized regression methods (LASSO and ENET) to explore relationships between common genetic variants, DNA methylation and gene expression measured in bladder tumor samples and have proposed a permutation-based method to concomitantly assess significance and correct by multiple testing with the MaxT algorithm. The overall analysis flow consisted of three steps: (1) SNPs/CpGs were selected per each gene probe within 1Mb window upstream and downstream the gene; (2) LASSO and ENET were applied to assess the association between each expression probe and the selected SNPs/CpGs in three multivariable models (SNP, CPG, and Global models, the latter integrating SNPs and CPGs); and (3) the significance of each model was assessed using the permutation-based MaxT method. We identified 48 genes whom expression levels were associated with both SNPs and GPGs. Importantly, we replicated results for 36 (75%) of them in an independent data set (TCGA). We checked the performance of the proposed method with a simulation study and further supported our results with a biological interpretation based on an enrichment analysis. The approach we propose allows reducing computational time and is flexibly and easy to implement when analyzing several omics data. Our results highlight the importance of integrating omics data by applying appropriate statistical strategies to discover new insights into the complexity of disease genetic mechanisms.
Publication Title
Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer.
Sample Metadata Fields
Specimen part
View Samples- Drosophila melanogaster
- 16 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Age-dependent electrical and morphological remodeling of the Drosophila heart caused by hERG/seizure mutations
Publication Title
Age-dependent electrical and morphological remodeling of the Drosophila heart caused by hERG/seizure mutations.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Transcriptome analysis was performed from human U87 glioblastoma cell clones: U87 IRE1.NCK DN (U87dn, IRE1 dominant negative) and U87 control (U87ctrl, empty plasmid). Cells were grown in DMEM supplemented with 10% FBS and glutamine for 16 hours in culture prior mRNA isolation and analyses
Publication Title
Inositol-requiring enzyme 1alpha is a key regulator of angiogenesis and invasion in malignant glioma.
Sample Metadata Fields
Cell line
View Samples- Gallus gallus
- 4 Downloadable Samples
- Affymetrix Chicken Genome Array (chicken)
Description
We determined gene expression profiles which were induced in the chick chorio-allantoic membrane 24 h after application of recombinant human VEGF.
Publication Title
Impaired angiogenesis and tumor development by inhibition of the mitotic kinesin Eg5.
Sample Metadata Fields
No sample metadata fields
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