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accession-icon GSE55587
Metabolic reprogramming of stromal fibroblasts through p62-mTORC1 signaling promotes inflammation and tumorigenesis
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The tumor microenvironment plays a critical role in cancer progression, but the precise mechanisms by which stromal cells influence the tumor epithelium are poorly understood. The signaling adapter p62 has been implicated as a positive regulator of epithelial tumorigenesis; however, its role in the stroma is unknown. We show here that p62 levels are reduced in the stroma of several tumors. Also, orthotopic and organotypic studies demonstrate that the loss of p62 in the tumor microenvironment or stromal fibroblasts resulted in increased tumorigenesis of epithelial prostate cancer cells. The mechanism involves the regulation of cellular redox through an mTORC1/c-Myc pathway of stromal glucose and amino acid metabolism. Inhibition of the pathway by p62 deficiency results in increased stromal IL-6 production, which is required for tumor promotion in the epithelial compartment. Thus, p62 is an anti-inflammatory tumor suppressor that acts through modulation of metabolism in the tumor stroma.

Publication Title

Metabolic reprogramming of stromal fibroblasts through p62-mTORC1 signaling promotes inflammation and tumorigenesis.

Sample Metadata Fields

Specimen part

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accession-icon SRP186005
Measuring the influence of RNA binding proteins on A-to-I RNA editing in the Drosophila brain
  • organism-icon Drosophila melanogaster
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

A-to-I RNA editing levels differ across tissues and cell types, but regulators of the editing process are largely unknown. We used RNA-seq on whole fly brains with different RNA binding proteins knocked down to test for A-to-I RNA editing level differences between controls and knockdowns. Overall design: To screen for editing regulators in the Drosophila brain, we crossed a pan-neuronal Gal4 driver, C155-Gal4, to different UAS-shRNA lines targeting individual RNA binding proteins, extracted RNA and made RNA-seq libraries. We sequenced four total replicates of shGFP controls and two replicates of all RNA binding protein knockdowns.

Publication Title

Zinc Finger RNA-Binding Protein Zn72D Regulates ADAR-Mediated RNA Editing in Neurons.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE48964
Expression data from Adipose Stem Cells (ASC) from morbidly obese and non-obese individuals
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The adipose tissue is an endocrine regulator and a risk factor for atherosclerosis and cardiovascular disease when by excessive accumulation induces obesity. Although the adipose tissue is also a reservoir for stem cells (ASC) their function and stemcellness has been questioned. Our aim was to investigate the mechanisms by which obesity affects subcutaneous white adipose tissue (WAT) stem cells.

Publication Title

Stem cells isolated from adipose tissue of obese patients show changes in their transcriptomic profile that indicate loss in stemcellness and increased commitment to an adipocyte-like phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16122
A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Mapping 50K Xba240 SNP Array (mapping50kxba240)

Description

A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide dosage effect on gene and microRNA expression

Publication Title

A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide gene dosage effect.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE13591
Integrated genomics approach to detect allelic imbalances in multiple myeloma
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Multiple myeloma (MM) is characterized by marked genomic instability. Beyond structural rearrangements, a relevant role in its biology is represented by allelic imbalances leading to significant variations in ploidy status. To better elucidate the genomic complexity of MM, we analyzed a panel of 45 patients using combined FISH and microarray approaches. Using a self-developed procedure to infer exact local copy numbers for each sample, we identified a significant fraction of patients showing marked aneuploidy. A conventional clustering analysis showed that aneuploidy, chromosome 1 alterations, hyperdiploidy and recursive deletions at 1p and chromosomes 13, 14 and 22 were the main aberrations driving samples grouping. Then, we integrated mapping information with gene and microRNAs expression profiles: a multiclass analysis of the identified clusters showed a marked gene-dosage effect, particularly concerning 1q transcripts, also confirmed by correlating gene expression levels and local copy number alterations. A wide dosage effect affected also microRNAs, indicating that structural abnormalities in MM closely reflect in their expression imbalances. Finally, we identified several loci in which genes and microRNAs expression correlated with loss-of-heterozygosity occurrence. Our results provide insights into the composite network linking genome structure and gene/microRNA transcriptional features in MM.

Publication Title

A SNP microarray and FISH-based procedure to detect allelic imbalances in multiple myeloma: an integrated genomics approach reveals a wide gene dosage effect.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE39683
Small nucleolar RNAs and small Cajal body-specific RNAs show distinct transcriptional profiles in the context of the molecular heterogeneity of multiple myeloma.
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Small nucleolar RNAs (snoRNAs) and small Cajal body-specific RNAs (scaRNAs) are non-coding RNAs involved in the maturation of other RNA molecules and generally located in the introns of host genes. It is now emerging that altered sno/scaRNAs expression may play a pathological role in cancer. This study elucidates the patterns of sno/scaRNAs expression in multiple myeloma (MM), by profiling puri?ed malignant plasma cells from 55 MMs, 8 secondary plasma cell leukemias (sPCL) and 4 normal controls. Overall, a global sno/scaRNAs down-regulation was found in MMs and at more extent in sPCLs compared to normal plasma cells. Whereas SCARNA22 resulted the only sno/scaRNA characterizing the TC4 MM, TC2 group displayed a distinct sno/scaRNA signature overexpressing members of SNORD115 and SNORD116 families located in a region finely regulated by imprinting mechanism at 15q11. However, the imprinting center resulted overall hypomethylated in MMs independently of the SNORD115 and SNORD116 expression levels. Finally, integrative analyses with available gene expression and genome-wide data revealed the occurrence of significant sno/scaRNAs/host genes co-expression and the putative influence of allelic imbalances on specific snoRNAs expression. Our data extend the current view of sno/scaRNAs deregulation in cancer and add novel information into the bio-molecular complexity of plasma cell dyscrasias.

Publication Title

The expression pattern of small nucleolar and small Cajal body-specific RNAs characterizes distinct molecular subtypes of multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE33392
Transcription profiling of barley plants containing variants of Mla1 and Mla6 powdery mildew resistance genes
  • organism-icon Hordeum vulgare
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

A split-split-plot design with 144 experimental units (3 replications x 4 genotypes x 6 time points x 2 treatment types) was used to profile barley plants containing variants of Mla1 and Mla6 powdery mildew resistance genes in response to inoculation with the Blumeria graminis f. sp. hordei (Bgh) isolates 5874 (AvrMla1, AvrMla6). Barley leaves were harvested from inoculated and non-inoculated plants at 6 time points (0,8,16,20,24 and 32 hrs) after Bgh inoculation. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Rico Caldo. The equivalent experiment is BB10 at PLEXdb.]

Publication Title

Blufensin1 negatively impacts basal defense in response to barley powdery mildew.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE61644
Transcript profiling of Bln1 silenced plants (BSMV-VIGS) relative to empty vector and buffer treated controls in barley-powdery mildew interactions
  • organism-icon Hordeum vulgare
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

Barley stripe mosaic virus-induced gene silencing (BSMV-VIGS) was used to identify significant new genes in the regulation of host innate immunity. This experiment was designed to uncover significant changes in Bln1 (Contig12219_at)-silenced plants relative to empty vector and buffer treated controls. Five independent biological replications of a split-plot experimental design were conducted with replications as blocks, treatment with Blumeria graminis f. sp. hordei (Bgh) as the whole-plot factor, and all combinations of genotype (Mla13 and Mla9) and VIGS treatment [Buffer control (mock), BSMV:00 (empty vector), and BSMV:Bln1248] as the split-plot factor for a total of 60 GeneChip hybridizations. Ten seedlings were used as a split-plot experimental unit for each combination of replication, Bgh treatment, genotype, and VIGS treatment. Plants were grown in a controlled 20C glasshouse prior to VIGS treatment. Twelve days after VIGS treatment, half of the plants in each replication were challenged with the compatible Bgh isolate 5874. Top halves of 5 of the 10 seedling third leaves (about 10 cm) from each split-plot experimental unit were harvested into liquid N2 at 32 hours after inoculation (HAI) - the timepoint with the highest differential Bln1 transcript accumulation (Meng et al. 2009), and after initial establishment of the perihaustorial interface (Caldo et al. 2004). The remaining 5 leaves were used to record infection phenotype 7 days later. RNA was isolated for GeneChip hybridization from the 32-HAI samples. ****[PLEXdb(http://www.plexdb.org) has submitted this series at GEO on behalf of the original contributor, Yan Meng. The equivalent experiment is BB101 at PLEXdb.]

Publication Title

Blufensin1 negatively impacts basal defense in response to barley powdery mildew.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon E-TABM-142
Transcription profiling of wild type and loss-of-function mutants of Mla1 and Mla6 powdery mildew resistant allele barley plants
  • organism-icon Hordeum vulgare
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Barley Genome Array (barley1)

Description

A parallel expression profiling of wild-type and loss-of-function mutants of Mla6 and Mla1 powdery mildew resistance alleles was conducted using Barley1 GeneChip. Barley plants were inoculated with powdery mildew isolate 5874 and first leaves were harvested at 6 time points after pathogen inoculation. This experiment was conducted in split-split-plot experimental design with 3 replications.

Publication Title

Blufensin1 negatively impacts basal defense in response to barley powdery mildew.

Sample Metadata Fields

Age, Specimen part, Time

View Samples
accession-icon GSE29145
PKCz-mediated Gaq stimulation of the ERK5 pathway is involved in cardiac hypertrophy
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background: Gq-coupled G protein-coupled receptors (GPCR) mediate the actions of a variety of messengers that are key regulators of cardiovascular function. Enhanced Gaq-mediated signaling plays an important role in cardiac hypertrophy and in the transition to heart failure. We have recently described that Gaq acts as an adaptor protein that facilitates PKCz-mediated activation of ERK5 in epithelial cells. Since the ERK5 cascade is known to be involved in cardiac hypertrophy, we have investigated the potential relevance of this pathway in Gq-dependent signaling in cardiac cells.

Publication Title

Protein kinase C (PKC)ζ-mediated Gαq stimulation of ERK5 protein pathway in cardiomyocytes and cardiac fibroblasts.

Sample Metadata Fields

Sex, Age, Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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