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GSE41075
Homo sapiens
20 Downloadable Samples
Affymetrix Human Genome U133A 2.0 Array (hgu133a2)
Description
Chlamydia trachomatis is an obligate intracellular Gram-negative bacterium that frequently causes an asymptomatic genital tract infection, gradually cleared by host immunity
Publication Title
Human female genital tract infection by the obligate intracellular bacterium Chlamydia trachomatis elicits robust Type 2 immunity.
Sample Metadata Fields
Sex, Specimen part
View Samples- Drosophila melanogaster
- 5 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
Growth of the drosophila eye imaginal discs is controlled by the activation of Notch in the dorsal-ventral boundary. Overexpression in the eye disc of the Notch ligand Delta together with lola and pipsqueak from the GS(2)88A8 line induces tumoral growth. We used microarray to analyze the expression profile of tumoral discs.
Publication Title
Imaginal discs secrete insulin-like peptide 8 to mediate plasticity of growth and maturation.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [hjay.r1 version (huex10st)
Description
Analysis to identify genome-wide differential alternative splicing events in A549 cells in which the levels of the gene SRSF1 were down-regulated with a specific siRNA
Publication Title
Identification of alternative splicing events regulated by the oncogenic factor SRSF1 in lung cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 27 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
There is an increasing interest on the role of Alternative splicing (AS) in different pathologies. The Affymetrix Human Transcriptome Array (HTA 2.0) can be used to explore AS very efficiently. However, the interpretation software provided by its vendor (TAC 3.0) does not fully exploit its potential and can only be applied to case-control studies. EventPointer is an R package to identify Alternative Splicing events using HTA 2.0 arrays. It can be applied to complex experimental designs. The software provides a list of the detected events indicating the type of event (cassette, alternative 3, etc.), their statistical significance, and affected protein domains affected. The false positive rate is very low (the first detected false positive was ranked in the 149th position). EventPointer is publicly available at GitHub.
Publication Title
EventPointer: an effective identification of alternative splicing events using junction arrays.
Sample Metadata Fields
Cell line
View Samples- Sus scrofa
- 6 Downloadable Samples
- Affymetrix Porcine Genome Array (porcine)
Description
Brucella suis infects macrophages and dendritic cells. Wild boars act as reservoirs and carriers of Brucella suis biovar 2, and there is evidence that wild boar can be the main source of infection for domestic pigs through the venereal route. Transmission through this route could be an important path for disesease dissemination. The result from this study will contribute to the overall understanding of the molecular pathogenic mechanisms involved during Brucella suis infection in European wild boar.
Publication Title
Gene expression changes in spleens of the wildlife reservoir species, Eurasian wild boar (Sus scrofa), naturally infected with Brucella suis biovar 2.
Sample Metadata Fields
Specimen part, Disease
View Samples- Rattus norvegicus
- 12 Downloadable Samples
Illumina HiScanSQ
Description
Introduction: Though heavy alcohol drinking has been well characterized as causing a variety of injuries, recent epidemiological evidence in humans suggests moderate consumption may provide beneficial effects. For example, there exists a J- or U-shaped relationship between the level of alcohol intake and cardiovascular disease risk. We investigated the underlying mechanisms of these positive consequences by identifying which genes are responsive to moderate alcohol intake in the liver, the primary site for alcohol metabolism. Methods: Twelve female, inbred, alcohol-preferring (iP10a) rats were split equally between chronic water exposure and voluntary chronic ethanol exposure. Hepatic cholesterol and triglyceride levels were analyzed both histologically and biochemically. Hepatic transcriptomes were paired-end sequenced on the Illumina HiScanSQ system. Reads were analyzed and mapped using CLCbio Genomics Workbench 4.9. We confirmed altered expression of a subset of genes using TaqMan-based qRT-PCR. To quantify DNA methylation, we first digested DNA with methylation sensitive restriction enzymes and then performed qPCR using TaqMan assays surrounding the digest sites. Calculating ?Ct between a mock digest and digest determines the percent methylation in that locus. Results: Voluntary alcohol consumption in iP10a rats modeled moderate consumption in humans. These levels did not result in intrahepatic fat accumulation. Sequencing produced ~1.2 Gb of sequence per sample, and 65% of reads mapped uniquely. Using a FDR corrected p value of 0.05 we found 250 altered transcripts. Ontology analysis of genes with a fold change =1.3 identified many cholesterol synthesis genes and cytoskeleton subunit genes, all of which were down-regulated. Of the 28 genes reanalyzed by qRT-PCR, altered expression was confirmed in 24 genes including the majority of the cholesterol synthesis and cytoskeleton subunit genes. Lastly, we profiled methylation throughout the promoter and gene body of four genes elicited in the RNA-Seq experiment. We found that alcohol caused demethylation at all loci; however this loss happened in a site-specific, tightly regulated manner. Conclusion: Voluntary consumption in the iP10a animals models moderate consumption in humans, does not produce intrahepatic fat accumulation, and causes down-regulation of a majority of cholesterol synthesis genes. Moderate alcohol also results in a tightly-regulated demethylation effect. Our results explain, at least in part, the J- or U-shaped relationship between level of alcohol intake and cardiovascular disease risk. Overall design: We sequenced 12 female iP10a rat hepatic transcriptomes providing 6 biological replicates for water control and 6 for ethanol treatment.
Publication Title
A snapshot of the hepatic transcriptome: ad libitum alcohol intake suppresses expression of cholesterol synthesis genes in alcohol-preferring (P) rats.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Although new therapies have doubled the survival of multiple myeloma (MM) patients, this remains an incurable disease. It has been postulated that the so-called MM Cancer Stem Cells (MM-CSC) would be responsible for tumor initiation and relapse but their unequivocal identification remains unclear. Here, we investigated in a panel of MM cell lines the presence of CD20+ cells harboring a MM-CSC phenotype. Among the multiple cell lines investigated, only a small population of CD20dim+ cells (0.3%) in the RPMI-8226 cell line was found. CD20dim+ RPMI-8226 cells expressed the plasma cell markers CD38 and CD138 and were CD19-CD27-. Additionally, CD20dim+ RPMI-8226 cells did not exhibit stem-cell markers as shown by gene expression profiling and the aldehyde dehydrogenase (ALDH) assay. Moreover, we demonstrated that CD20dim+ RPMI-8226 cells are not essential for CB17-SCID mice engraftment and show lower self-renewal potential than the CD20- RPMI-8226 cells. These results do not support CD20+ expression for the identification of MM-CSC.
Publication Title
CD20 positive cells are undetectable in the majority of multiple myeloma cell lines and are not associated with a cancer stem cell phenotype.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 34 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 55 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
The tumoral clone of Waldenstrms macroglobulinemia (WM) shows a wide morphological heterogeneity which ranges from B-lymphocytes (BL) to plasma cells (PC). By means of genome-wide expression profiling we have been able to identify genes exclusively deregulated in BL and PC from WM, but with a similar expression pattern in their corresponding cell-counterparts from CLL and MM, as well as normal individuals. The differentially expressed genes have important functions in B-cell differentiation and oncogenesis. Thus, two of the genes down-regulated in WM-BL were IL4R, which plays a relevant role in CLL B cell survival, and BACH2 that participates in the development of class-switched PC. Interestingly, one of the up-regulated genes in WM-BL was IL6. A set of 4 genes was able to discriminate clonal B-lymphocytes from WM and CLL: LEF1 (WNT/catenin pathway), MARCKS, ATXN1 and FMOD. We also found deregulation of genes involved in plasma cell differentiation such as PAX5 which was overexpressed in WM-PC, and IRF4 and BLIMP1 which were underexpressed. In addition, three of the target genes activated by PAX5 -CD79, BLNK and SYK- were up-regulated in WM-PC. In summary, these results indicate that both PC and BL from WM are genetically different from the MM and CLL cell-counterpart.
Publication Title
Gene expression profiling of B lymphocytes and plasma cells from Waldenström's macroglobulinemia: comparison with expression patterns of the same cell counterparts from chronic lymphocytic leukemia, multiple myeloma and normal individuals.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 43 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Gene expression profile of acute myeloid leukemia.
Publication Title
Gene expression profile reveals deregulation of genes with relevant functions in the different subclasses of acute myeloid leukemia.
Sample Metadata Fields
No sample metadata fields
View Samples