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accession-icon GSE19511
Equivalent mutations in the eight subunits of the chaperonin CCT produce dramatically different cell phenotypes.
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The eukaryotic cytoplasmic chaperonin-containing TCP-1 (CCT) is a complex formed by two back-to-back stacked hetero-octameric rings that assists the folding of actins, tubulins and other proteins in an ATP-dependent manner. Here, we decided to test the significance of the hetero-oligomeric nature of CCT for its function by introducing, in each of the eight subunits in turn, an identical mutation at a position involved in ATP binding and conserved in all the subunits, in order to establish the extent of individuality of the various subunits. Our results show that these identical mutations lead to dramatically different phenotypes. For example, cells with the mutation in CCT2 have an excess of actin patches and are the only pseudo-diploid strain. By contrast, cells with the mutation in CCT7 are the only ones to accumulate juxta-nuclear protein aggregates that may reflect the absence of stress response in this strain. System-level analysis of the strains using RNA microarrays reveals connections between CCT and several cellular networks including ribosome biogenesis and TOR2 that help to explain the phenotypic variability observed

Publication Title

Equivalent mutations in the eight subunits of the chaperonin CCT produce dramatically different cellular and gene expression phenotypes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2952
Adipose tissue gene expression profiles of lean, insulin resistant, obese, and diabetic mice.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine 11K SubA Array (mu11ksuba)

Description

The expression of adipogenic genes is decreased in obesity and diabetes mellitus

Publication Title

The expression of adipogenic genes is decreased in obesity and diabetes mellitus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6272
House keeping gene analysis - carcinoids and normal mucosa
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Accurate and reproducible quantitation of target genes depends on correct normalization. Historically, genes with variable tissue transcription e.g. GAPDH, have been used as normalization factors which is problematic, particularly in clinical samples which often are derived from different tissue sources. Using a large-scale gene database (GeneChip (Affymetrix U133A) dataset of 36 gastrointestinal tumors and normal tissues), we identified 8 candidate reference genes that were highly expressed with low variability and established expression levels by real-time RT-PCR in an independent set of GI tissue samples (n=42).

Publication Title

GeneChip, geNorm, and gastrointestinal tumors: novel reference genes for real-time PCR.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE2899
Gene Expression Profiles of Nondiabetic and Diabetic Obese Mice--Adipose tissue, Liver, Muscle and Islets
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Obesity is a strong risk factor for the development of type 2 diabetes. We have previously reported that in adipose tissue of obese (ob/ob) mice, the expression of adipogenic genes is decreased. When made genetically obese, the BTBR mouse strain is diabetes susceptible and the C57BL/6J (B6) strain is diabetes resistant. We used DNA microarrays and RT-PCR to compare the gene expression in BTBR-ob/ob versus B6-ob/ob mice in adipose tissue, liver, skeletal muscle, and pancreatic islets. Our results show: 1) there is an increased expression of genes involved in inflammation in adipose tissue of diabetic mice; 2) lipogenic gene expression was lower in adipose tissue of diabetes-susceptible mice, and it continued to decrease with the development of diabetes, compared with diabetes-resistant obese mice; 3) hepatic expression of lipogenic enzymes was increased and the hepatic triglyceride content was greatly elevated in diabetes-resistant obese mice; 4) hepatic expression of gluconeogenic genes was suppressed at the prediabetic stage but not at the onset of diabetes; and 5) genes normally not expressed in skeletal muscle and pancreatic islets were expressed in these tissues in the diabetic mice. We propose that increased hepatic lipogenic capacity protects the B6-ob/ob mice from the development of type 2 diabetes. Diabetes 52:688700, 2003

Publication Title

Gene expression profiles of nondiabetic and diabetic obese mice suggest a role of hepatic lipogenic capacity in diabetes susceptibility.

Sample Metadata Fields

Sex, Age

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accession-icon SRP148477
Single cell RNA sequencing of B cells from allergic individuals
  • organism-icon Homo sapiens
  • sample-icon 973 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

IgE antibodies mediate the symptoms of allergic reactions, yet these antibodies and the cells that produce them remain enigmatic due to their scarcity in humans. To address this, we have isolated single B cells of all isotypes, including rare IgE producing B cells, from the peripheral blood of food allergic individuals. Using single cell RNA sequencing (scRNA-seq) we have characterized the gene expression, splicing, and heavy and light chain antibody sequences of these cells.

Publication Title

High-affinity allergen-specific human antibodies cloned from single IgE B cell transcriptomes.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon SRP150461
Transcriptome analysis of Casz1 conditional mutant progenitors at postnatal day 2
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome analysis of Casz1 was performed using litters of postnatal day 2 retinas from crosses between Casz1Flox/Flox; R26-Stop-EYFP and Casz1Flox/Flox; IKCre-A; R26-Stop-EYFP. The IK-A Cre driver is described in Tarchini et al., Dev Dyn 241(12):1973-85. EYFP marks Cre expressing (and therefore cKO) cells. Cells were incubated for 30 min in RGM serum-free medium described in Cayouette et al., Neuron 40(5):897, supplemented with Hoechst 33342 (Invitrogen), and 4N cells were sorted using a MOFLO cytometer (Beckman) based on Hoechst, GFP expression, and propidium iodide exclusion. Overall design: Cells were sorted directly into lysis buffer on ice and RNA was immediately extracted using RNeasy mini columns (Qiagen). Two independent experiments were performed, and the RNA samples were processed in parallel. RNA amplification was performed using Truseq PE Cluster kit v3 PE50 (Illumina). Deep sequencing was performed using Truseq stranded mRNA (Illumina) with mRNA enrichment and strand-specific parameters, using a Hiseq 2000 instrument (Illumina).

Publication Title

Casz1 controls higher-order nuclear organization in rod photoreceptors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE29912
The effect of GW3965 and dexamethasone on gene expression of rat livers
  • organism-icon Rattus norvegicus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

GLUCOCORTICOIDS are steroid hormones that strongly influence intermediary carbohydrate metabolism by increasing the transcription rate of glucose-6-phosphatase (G6Pase) a key enzyme of gluconeogenesis, and suppress the immune system which makes them one of the most important therapeutic agents in the treatment of allergic, autoimmune and inflammatory diseases. The biologic actions of circulating glucocorticoids are transmitted to the cells nucleus by the glucocorticoid receptor (GR). The nuclear liver X receptors (LXRs) bind to cholesterol metabolites, heterodimerize with the retinoid X receptor (RXR), and regulate the cholesterol turnover, the hepatic glucose metabolism by decreasing the expression of G6Pase, and repress a set of inflammatory genes in immune cells. The aim of this study is to evaluate the crosstalk between the GR- and LXR-mediated signaling systems. Transient transfection-based reporter assays and gene silencing methods using siRNAs for LXRs showed that overexpression/ligand (GW3965) activation of LXRs/RXRs repressed GR-stimulated transactivation of certain glucocorticoid response element (GRE)-driven promoters in a gene-specific fashion. Activation of LXRs by GW3965 attenuated dexamethasone-stimulated elevation of circulating glucose in rats and suppressed dexamethasone-induced mRNA expression of hepatic glucose-6-phosphatase (G6Pase) in rats, mice and human hepatoma HepG2 cells. In microarray transcriptomic analysis of rat liver, GW3965 differentially regulated glucocorticoid-induced transcriptional activity of about 15% of endogenous glucocorticoid-responsive genes. Mechanistically, and in vitro chromatin immunoprecipitation assay, we found that LXR/RXR bound GREs and inhibited GR binding to these DNA sequences in a gene-specific fashion. These novel results were further confirmed in in vivo binding assays, and in gel mobility shift assays, where recombinant LXR/RXR proteins were used to examine their interaction with classic or G6Pase GREs. We propose that administration of LXR agonists may be beneficial in glucocorticoid treatment- or stress-associated dysmetabolic states by directly attenuating the transcriptional activity of the GR on glucose and/or lipid metabolism.

Publication Title

Liver x receptors regulate the transcriptional activity of the glucocorticoid receptor: implications for the carbohydrate metabolism.

Sample Metadata Fields

Specimen part

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accession-icon GSE70840
Transcriptomic response of rice leaves to 30% CO2 concentration
  • organism-icon Oryza sativa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Analysis of rice leaves (V2 stage) in response to a short treatment with very high CO2 concentration in the dark, using standard atmosphere as control.

Publication Title

High CO2 concentration as an inductor agent to drive production of recombinant phytotoxic antimicrobial peptides in plant biofactories.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE46449
Expression data from Patients with Bipolar (BP) Disorder and Matched Control Subjects
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There are currently no biological tests that differentiate patients with bipolar disorder (BPD) from healthy controls. While there is evidence that peripheral gene expression differences between patients and controls can be utilized as biomarkers for psychiatric illness, it is unclear whether current use or residual effects of antipsychotic and mood stabilizer medication drives much of the differential transcription. We therefore tested whether expression changes in first-episode, never-medicated bipolar patients, can contribute to a biological classifier that is less influenced by medication and could potentially form a practicable biomarker assay for BPD.

Publication Title

Utilization of never-medicated bipolar disorder patients towards development and validation of a peripheral biomarker profile.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon E-MEXP-750
Transcription profiling of human CD4 T cell subsets isolated from peripheral blood and palatine tonsils
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133B Array (hgu133b), Affymetrix Human Genome U133A Array (hgu133a)

Description

Comparatative gene expression analysis for CD4 T cell subsets isolated from peripheral blood and palatine tonsils

Publication Title

A methodology for global validation of microarray experiments.

Sample Metadata Fields

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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