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GSE2815
Homo sapiens
7 Downloadable Samples
Affymetrix Human Genome U133A Array (hgu133a)
Description
The transcriptional activities of c-Myb and its oncogenic variant v-Myb were compared by expressing them in human MCF7 cells using recombinant adenovirus vectors. A hybrid construct, 3Mutc, which is a variant of c-Myb harboring three v-Myb-derived DNA binding domain mutations was also analyzed. All the samples were compared to cells infected with a control adenovirus. The results showed that v-Myb, which differs from c-Myb only by N- and C-terminal deletions and eleven amino acid substitutions, has a qualitatively different transcriptional activity.
Publication Title
Oncogenic mutations cause dramatic, qualitative changes in the transcriptional activity of c-Myb.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 5 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The transcriptional activities of c-Myb and its oncogenic variant v-Myb were compared by expressing them in primary human monocytes using recombinant adenovirus vectors. All the samples were compared to cells infected with a control adenovirus expressing only GFP. The results showed that v-Myb, which differs from c-Myb only by N- and C-terminal deletions and eleven amino acid substitutions, has a qualitatively different transcriptional activity.
Publication Title
Oncogenic mutations cause dramatic, qualitative changes in the transcriptional activity of c-Myb.
Sample Metadata Fields
No sample metadata fields
View Samples GSE1318- Homo sapiens
- 25 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Recombinant adenovirus vectors were used to express wild type or domain swap mutants of A-Myb and c-Myb transcription factors in MCF-7 cells or pimary lung epithelial cells or fibroblasts. The results show that Myb proteins have extreme context specificity and identify sub-domains responsible for the activation of specific sets of target genes.
Publication Title
Positive and negative determinants of target gene specificity in myb transcription factors.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 24 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
While prion infections have been extensively characterized in the laboratory mouse, little is known regarding the molecular responses to prions in other rodents. To explore these responses and make comparisons, we generated a prion disease in the laboratory rat by successive passage of mouse RML prions. Here we describe the accumulation of prions and associated pathology in the rat and describe the transcriptional impact throughout prion disease. Comparative transcriptional profiling between laboratory mice and rats suggests that similar molecular processes are unfolding in response to prion infection. At the level of individual transcripts, however, variability exists between mice and rats and many genes deregulated in mouse scrapie are not affected in rats. Notwithstanding these differences, many transcriptome responses are conserved between mice and rats infected with scrapie. Our findings highlight the usefulness of comparative approaches to understanding neurodegeneration and prion diseases in particular.
Publication Title
Transcriptomic responses to prion disease in rats.
Sample Metadata Fields
Specimen part, Disease
View Samples- Homo sapiens
- 138 Downloadable Samples
Description
Multiple myeloma (MM) is a malignant plasma cell disorder with well-defined clonal genetic/cytogenetic abnormalities. However, cellular heterogeneity is a key factor in MM's progression, therapeutic decision, and response to treatment. Single cell whole transcriptome profiling (scRNA-Seq) offers an opportunity to dissect this molecular heterogeneity during MM progression to better understand the disease and guide rational therapy. Here, we examined 597 CD138 positive cells from 15 patients at different stages of MM progression using scRNA-Seq. We selected 790 genes based on a Coefficient of Variation (CV) approach which organized cells into four clusters (L1-L4) based on unsupervised clustering. Plasma cells from each patient contained a mixed population of plasma cells at different state of aggressiveness based on gene expression signature reflecting the inter-cellular heterogeneous nature of MM. Cells in the L1 group is characterized by low level expression of genes involved in the oxidative phosphorylation, Myc targets, and mTORC1 signaling pathway having most cells from MGUS patients (p < 1.2x10-14). In contrast, low level of these genes in L1 group increased progressively and were the highest in the L4 group containing only cells from high-risk MM patients with t(4;14) translocations. Furthermore, 44 genes consistently overexpressed by pair-wised comparisons of the four groups strongly associated with a reduced overall survival in MM patients (APEX trial, p < 0.0001; Hazard Ratio (HR), 1.83; 95% CI, 1.33 to 2.52), particularly those in the bortezomib treated group (p < 0.0001; HR, 2.00; 95% CI, 1.39 to 2.89). No survival significance was observed for the dexamethasone treated group. Our study at the resolution of single cells showed that there is a mixed population of cells in each patient at different stages of MM progression and these cells can be organized into four different subgroups (L1 to L4). Consistent overexpression of the 44 genes from L1 to L4 groups is associated with patient outcome and treatment response. Our results show that oxidative phosphorylation, Myc target, and mTORC1 signaling genes are significant pathways for MM progression and affect MM prognosis and treatment stratification. Overall design: 597 single cell libraries passed QC and were included in the downstream analysis
Publication Title
Molecular signatures of multiple myeloma progression through single cell RNA-Seq.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus, Homo sapiens
- 44 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Profiling bortezomib resistance identifies secondary therapies in a mouse myeloma model.
Sample Metadata Fields
Specimen part, Cell line, Time
View Samples- Mus musculus
- 24 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Genome-wide analysis of gene expression in response to bortezomib treatment (33 nM) in cell lines before and after selection for resistance.
Publication Title
Profiling bortezomib resistance identifies secondary therapies in a mouse myeloma model.
Sample Metadata Fields
Specimen part, Cell line, Time
View Samples- Mus musculus
- 20 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
Genome-wide analysis of gene expression in response to bortezomib treatment(33 nM) in cell lines before and after selection for resistance.
Publication Title
Profiling bortezomib resistance identifies secondary therapies in a mouse myeloma model.
Sample Metadata Fields
Specimen part, Cell line, Time
View Samples- Mus musculus
- 543 Downloadable Samples
- Illumina HiSeq 2000
Description
Single cell sequencing of microglia and perivascular macrophages was performed on brain tissue from different brain regions to obtain single cell expression profiles dependent on celltype and regional location. Overall design: 425 cells from mouse (CD-1) brains at different postnatal ages as well as embryonic day E11.5-E18.5.
Publication Title
Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 31 Downloadable Samples
- Illumina HiSeq 3000
Description
Microglia play critical roles in neural development and homeostasis. They are also implicated in neurodegenerative and neuroinflammatory diseases of the central nervous system (CNS). However, little is known about the presence of spatially and temporally restricted subclasses of microglia during CNS development and disease. Here, we combined massively parallel single-cell analysis, single-molecule FISH, advanced immunohistochemistry and computational modelling to comprehensively characterize novel microglia subclasses, which were transcriptionally different from perivascular macrophages, in up to six different CNS regions during development and diseases. Single-cell analysis revealed specific time- and region-dependent microglia subtypes during homeostasis. In contrast, demyelinating and neurodegenerative diseases evoked context-dependent microglia subtypes with distinct molecular hallmarks and diverse cellular kinetics. Finally, diverse microglia subsets were also identified in normal and diseased human brains. Our data provide new insights into the CNS endogenous immune system during development, health and perturbations. Overall design: CD45+ cells isolated from healthy and MS-affected human brains were FACS-sorted in 384-well plates and used for scRNAseq. The patients were aged between 22 and 25 years. Data comprises 5 healthy and 5 MS patients. CEL-Seq2 protocol was used for single cell sequencing (Hashimshony et al. 2016).
Publication Title
Spatial and temporal heterogeneity of mouse and human microglia at single-cell resolution.
Sample Metadata Fields
Specimen part, Subject
View Samples