MM1.S cells stably transduced with control or b-catenin shRNA were established. Total RNA was isolated from 5x 10^6 cells of each in triplicate.
Aurora kinase A is a target of Wnt/beta-catenin involved in multiple myeloma disease progression.
Cell line
View SamplesThis GEO submission includes RNAseq raw data (fastq) and processed data (using ASpli 1.6.0) from samples obtained in the wild type and the single prefoldin4 and lsm8 mutants in three different environmental conditions as well as in the triple prefoldin2 prefoldin4 prefoldin6 mutant growth in standard conditions. Overall design: 28 biological samples from 10 different conditions and genopypes, including the Col-0 WT in each condition (standard, cold and salt conditions)
Prefoldins contribute to maintaining the levels of the spliceosome LSM2-8 complex through Hsp90 in Arabidopsis.
Specimen part, Subject
View SamplesStabilized Alpha-Helix peptides of BCL9 HD2 (SAH-BCL9) block BCL9 and B9L interactions with beta-catenin and specifically downregulate Wnt target gene expression.
Targeted disruption of the BCL9/β-catenin complex inhibits oncogenic Wnt signaling.
Specimen part, Cell line, Treatment
View SamplesMultiple myeloma (MM) evolves from highly prevalent premalignant condition termed Monoclonal Gammopathy of Undetermined Significance (MGUS). We report an MGUS-MM phenotype arising in transgenic mice with Emu-directed expression of the unfolded protein/ER stress response and plasma cell development spliced isoform factor XBP-1s. Emu-XBP-1s elicited elevated serum Ig and IL-6 levels, skin alterations and with advancing age, a significant proportion of Emu-xbp-1s transgenic mice develop features diagnostic of human MM including bone lytic lesions. Transcriptional profiles of Emu-xbp-1s B lymphoid and MM cells show aberrant expression of genes known to be dysregulated in human MM including Cyclin D1, MAF, MAFB, and APRIL. This genetic model coupled with documented frequent XBP-1s overexpression in human MM serve to implicate chronic XBP-1s dysregulation in the development of this common and lethal malignancy.
The differentiation and stress response factor XBP-1 drives multiple myeloma pathogenesis.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
The UBC-40 Urothelial Bladder Cancer cell line index: a genomic resource for functional studies.
Specimen part, Cell line
View SamplesThis is a comprehensive genomic characterization of 40 urothelial bladder carcinoma (UBC) cell lines including information on origin, mutation status of genes implicated in bladder cancer (FGFR3, PIK3CA, TP53, and RAS), copy number alterations assessed using high density SNP arrays, uniparental disomy (UPD) events, and gene expression. Based on gene mutation patterns and genomic changes we identify lines representative of the FGFR3-driven tumor pathway and of the TP53/RB tumor suppressor-driven pathway. High-density array copy number analysis identified significant focal gains (1q32, 5p13.1-12, 7q11, and 7q33) and losses (i.e. 6p22.1) in regions altered in tumors but not previously described as affected in bladder cell lines. We also identify new evidence for frequent regions of UPD, often coinciding with regions reported to be lost in tumors. Previously undescribed chromosome X losses found in UBC lines also point to potential tumor suppressor genes. Cell lines representative of the FGFR3-driven pathway showed a lower number of UPD events. Overall, there is a predominance of more aggressive tumor subtypes among the cell lines. We provide a cell line classification that establishes their relatedness to the major molecularly-defined bladder tumor subtypes. The compiled information should serve as a useful reference to the bladder cancer research community and should help to select cell lines appropriate for the functional analysis of bladder cancer genes, for example those being identified through massive parallel sequencing.
The UBC-40 Urothelial Bladder Cancer cell line index: a genomic resource for functional studies.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer.
Specimen part
View SamplesOmics 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.
Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer.
Specimen part
View SamplesBoth microRNAs and alternative pre-mRNA splicing have been implicated in the development of the nervous system (NS), but functional interactions between these two pathways are poorly understood. We demonstrate that the neuron-specific microRNA miR-124a directly targets PTBP1/PTB/hnRNPI mRNA, which encodes a global repressor of alternative pre-mRNA splicing in non-neuronal cells. Among the targets of PTBP1 is a critical cassette exon in the pre-mRNA of PTBP2/nPTB/brPTB, an NS-enriched PTBP1 homolog. When this exon is skipped, PTBP2 mRNA is subject to nonsense-mediated decay. During neuronal differentiation, miR-124a reduces PTBP1 levels leading to the accumulation of correctly spliced PTBP2 mRNA and a dramatic increase in PTBP2 protein. These events culminate in the transition from non-NS to NS-specific alternative splicing patterns. We also present evidence that miR-124a plays a key role in the differentiation of progenitor cells to mature neurons. Thus, miR-124a promotes NS development at least in part by regulating an intricate network of NS-specific alternative splicing.
The MicroRNA miR-124 promotes neuronal differentiation by triggering brain-specific alternative pre-mRNA splicing.
No sample metadata fields
View Samplesp63 is critical for epithelial development yet little is known about the transcriptional programmes it regulates. The p63 transactivating (TA) isoforms contain an amino-terminal exon that encodes a p53-like transactivation domain, whereas N-isoforms lack this domain but contain the common DNA binding domain (DBD), suggesting that TAp63 and Np63 isoforms may have opposing functions. By characterising transcriptional changes and cellular effects following modulation of p63 expression, we have defined a vital role for p63 in cellular adhesion. Knockdown of p63 expression caused downregulation of cell adhesion-associated genes, cell detachment and anoikis in mammary epithelial cells and keratinocytes. Conversely, overexpression of the TAp63 or Np63 isoforms of p63 upregulated cell adhesion molecules, increased cellular adhesion and conferred resistance to anoikis.
p63 regulates an adhesion programme and cell survival in epithelial cells.
Cell line
View Samples