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GSE59325
Homo sapiens
10 Downloadable Samples
Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Analysis of perirenal adipose tissue from healthy kidney donors (age 449 years, BMI 25.83.3 kg/m2, meanSD).
Publication Title
FTO Obesity Variant Circuitry and Adipocyte Browning in Humans.
Sample Metadata Fields
Specimen part
View Samples- Zea mays
- 27 Downloadable Samples
- Affymetrix Maize Genome Array (maize)
Description
Expression profiling analyses for 5 maize inbreds and 4 hybrids, chosen to represent diversity in genotypes and heterosis responses, revealed a correlation between genetic diversity and transcriptional variation. The majority of differentially expressed genes in each of the different hybrids exhibited additive expression patterns, and ~25% exhibited statistically significant non-additive expression profiles. Among the non-additive profiles, ~80% exhibited hybrid expression levels between the parental levels, ~20% exhibited hybrid expression levels at the parental levels and ~1% exhibited hybrid levels outside the parental range. These findings indicate that the frequencies of additive and non-additive expression patterns are very similar across a range of hybrid lines.
Publication Title
Gene expression analyses in maize inbreds and hybrids with varying levels of heterosis.
Sample Metadata Fields
No sample metadata fields
View Samples- Zea mays
- 24 Downloadable Samples
- Affymetrix Maize Genome Array (maize)
Description
Expression profiling analyses for eight maize inbreds reveals extensive transcriptional variation. Many genes exhibit presence-absence variation among the inbred lines.
Publication Title
Gene expression analyses in maize inbreds and hybrids with varying levels of heterosis.
Sample Metadata Fields
No sample metadata fields
View Samples- Zea mays
- 18 Downloadable Samples
- Affymetrix Maize Genome Array (maize)
Description
The contribution of epigenetic alterations to natural variation for gene transcription levels remains unclear. In this study, we investigated the functional targets of the maize chromomethylase ZMET2 in multiple inbred lines to determine whether epigenetic changes conditioned by this chromomethylase are conserved or variable within the species. Gene expression microarrays were hybridized with RNA samples from the inbred lines B73 and Mo17, and from near-isogenic derivatives containing the loss-of-function allele zmet2-m1. A set of 126 genes that displayed statistically significant differential expression in zmet2 mutants relative to wild-type plants in at least one of the two genetic backgrounds were identified. Analysis of the transcript levels in both wild-type and mutant individuals revealed that only 10% of these genes were affected in zmet2 mutants in both B73 and Mo17 genetic backgrounds. Over 80% of the genes with expression patterns affected by zmet2 mutations display variation for gene expression between wild-type B73 and Mo17 plants. Further analysis was performed for seven genes that were transcriptionally silent in wild-type B73, but expressed in B73 zmet2-m1, wild-type Mo17 and Mo17 zmet2-m1 lines. Mapping experiments confirmed that the expression differences in wild-type B73 relative to Mo17 inbreds for these genes were caused by cis-acting regulatory variation. Methylation-sensitive PCR and bisulphite sequencing demonstrated that for five of these genes the CpNpG methylation in the wild-type B73 genetic background was substantially decreased in the B73 zmet2-m1 mutant and in wild-type Mo17. A survey of eight maize inbreds reveals that each of these five genes exhibit transcriptionally silent and methylated states in some inbred lines and unmethylated, expressed states in other inbreds, providing evidence for natural variation in epigenetic states for some maize genes.
Publication Title
Natural variation for alleles under epigenetic control by the maize chromomethylase zmet2.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 6 Downloadable Samples
Illumina HiSeq 2500
Description
Prostate cancer is a common cause of cancer-related death in men. E6AP, an E3 ubiquitin ligase and a transcription cofactor, is elevated in a subset of prostate cancer patients. Genetic manipulations of E6AP in prostate cancer cells expose a role of E6AP in promoting growth and survival of prostate cancer cells in vitro and in vivo. However, the effect of E6AP on prostate cancer cells is broad and it cannot be explained fully by previously identified tumour suppressor targets of E6AP, promyelocytic leukemia protein and p27. To explore additional players that are regulated downstream of E6AP, we combined a transcriptomic and proteomic approaches. We identified and quantified 16,130 transcripts and 7,209 proteins in castration resistant prostate cancer cell line, DU145. A total of 2,763 transcripts and 308 proteins were significantly altered upon knockdown of E6AP. Pathway analyses supported the known phenotypic effects of E6AP knockdown in prostate cancer cells and in parallel exposed novel potential links of E6AP with cancer metabolism, DNA damage repair and immune response. Changes in expression of the top candidates were confirmed using real-time polymerase chain reaction. Of these, clusterin, a stress-induced chaperone protein, commonly deregulated in prostate cancer, was pursued further. Knockdown of E6AP resulted in increased clusterin transcript and protein levels in vitro and in vivo. Concomitant knockdown of E6AP and clusterin supported the contribution of clusterin to the phenotype induced by E6AP. Overall, results from this study provide insight into the potential biological pathways controlled by E6AP in prostate cancer cells and identifies clusterin as a novel target of E6AP. Overall design: Examination of candidate targets regulated by E6AP at transcript level
Publication Title
Proteotranscriptomic Measurements of E6-Associated Protein (E6AP) Targets in DU145 Prostate Cancer Cells.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 15 Downloadable Samples
- Illumina HiSeq 4000
Description
4 transiently expressed long non-coding RNAs that were identified in human and non-human primate cortical organoid differentiation were activated out of context in HEK293FT cells using CRISPRa. Overall design: 5 sgRNAs targeting TrEx lncRNAs or non-targeting controls were co-transfected with dCas9-VP64 into HEK293FT cells. Successfully transfected cells were selected by puromycin at 24 hours and harvested for RNA at maximal expression, 48 hours post transfection. RNA-seq libraries were prepared in biological triplicates with the NEXTflex Rapid Directional qRNA-Seq Library Prep Kit (PerkinElmer).
Publication Title
Structurally Conserved Primate LncRNAs Are Transiently Expressed during Human Cortical Differentiation and Influence Cell-Type-Specific Genes.
Sample Metadata Fields
Cell line, Subject
View Samples- Glycine max
- 27 Downloadable Samples
- Affymetrix Soybean Genome Array (soybean)
Description
The autoregulation of mycorrhization (AOM) describes a plant regulatory mechanism that limits the number of infection events by arbuscular mycorrhizal fungi. The key signal mediator is a receptor kinase (GmNARK) that acts in the shoots. Early signals of the mycorrhizal symbiosis induce a root-derived signal that activates GmNARK in the shoot finally leading to a systemic repression of subsequent infections in the root. So far, less is known about the signals down-stream of GmNARK. To find genes regulated by GmNARK in a mycorrhiza-dependent as well as in a mycorrhiza-independent manner, we used the Affymetrix GeneChip for soybean. In general, mycorrhizal root systems consist of both colonized and non-colonized, but autoregulated roots. To physically separate those two root types for transcript analysis of specifically regulated genes, we used the split-root system. Transcript profiling during AOM was done with material of Bragg wild-type and of the nark mutant nts1007, either non-inoculated or partially inoculated with the mycorrhizal fungus Rhizophagus irregularis (formerly Glomus intraradices). Wild-type and nark mutants were inoculated with R. irregularis on one half of the root-systems (root-parts "A") only. The remaining half of the root-systems stayed non-infected (root-parts "B"). Corresponding controls stayed completely non-infected. Gene expression was analyzed in inoculated root-parts, non-inoculated root-parts and shoots of three individual plants per treatment. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Sara Schaarschmidt. The equivalent experiment is GM53 at PLEXdb.]
Publication Title
Analyzing the soybean transcriptome during autoregulation of mycorrhization identifies the transcription factors GmNF-YA1a/b as positive regulators of arbuscular mycorrhization.
Sample Metadata Fields
Age, Specimen part
View Samples- Drosophila melanogaster
- 13 Downloadable Samples
- Affymetrix Drosophila Genome Array (drosgenome1)
Description
Ewg differentially regulated genes in 16-18 h Drosophila embryos. The experiment contains expression measurements from wild type, ewg l1 protein null allele and ewg l1 elavEWG (elavEWG rescue construct expressing a ewg cDNA from the elav promoter) mutants.
Publication Title
Erect wing regulates synaptic growth in Drosophila by integration of multiple signaling pathways.
Sample Metadata Fields
Age
View Samples- Drosophila melanogaster
- 12 Downloadable Samples
- Affymetrix Drosophila Genome 2.0 Array (drosophila2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Functional genomic analysis of the periodic transcriptome in the developing Drosophila wing.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)
Description
Alternative splicing of pre-mRNA generates protein diversity and has been linked to cancer progression and drug response. Exon microarray technology enables genome-wide quantication of expression levels for the majority of exons and facilitates the discovery of alternative splicing events. Analysis of exon array data is more challenging than gene expression data and there is a need for reliable quantication of exons and alternative spliced variants. We introduce a novel, computationally efficient methodology, MEAP, for exon array data preprocessing, analysis and visualization. We compared MEAP with other preprocessing methods, and validation of the results show that MEAP produces reliable quantication of exons and alternative spliced variants. Analysis of data from head and neck squamous cell carcinoma (HNSCC) cell lines revealed several variants associated with 11q13 amplication, which is a predictive marker of metastasis and decreased survival in HNSCC patients. Together these results demonstrate the utility of MEAP in suggesting novel experimentally testable predictions. Thus, in addition to novel methodology to process large-scale exon array data sets, our results provide several HNSCC candidate genes for further studies.
Publication Title
Comprehensive exon array data processing method for quantitative analysis of alternative spliced variants.
Sample Metadata Fields
Cell line
View Samples