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accession-icon GSE12817
Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low, intermediate and high [glucose]
  • organism-icon Rattus norvegicus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Background: Survival and function of insulin-secreting pancreatic -cells are markedly altered by changes in nutrient availability. In vitro, culture in 10 rather than 2mM glucose improves rodent -cell survival and function whereas glucose concentrations above 10mM are deleterious. Aim-Method: To identify the mechanisms of such -cell plasticity, we tested the effects of a 18h culture at 2, 5, 10 and 30mM glucose on the transcriptome of rat islets precultured for 1 week at 10mM glucose (Affymetrix Rat 230.2 arrays). Results: Culture in either 2-5mM or 30mM instead of 10mM glucose markedly impaired -cell function without affecting islet cell survival. Of ~16000 probe sets reliably detected in islets, ~5000 were significantly regulated at least 1.4-fold by glucose. Analysis of these probe sets with GeneCluster software identified 10 mRNA profiles with unidirectional up- or down-regulation between 2 and 10, 2 and 30, 5 and 10, 5 and 30 or 10 and 30 mM glucose, and 8 complex V-shaped or inverse V-shaped profiles with a nadir or peak level of expression in 5 or 10mM glucose. Analysis of genes belonging to these various clusters with Onto-express and GenMapp software revealed several signaling and metabolic pathways that may contribute to the induction of -cell dysfunction and apoptosis after culture in low or high vs. intermediate glucose concentration. Conclusion: We have identified 18 distinct mRNA profiles of glucose-induced changes in islet gene mRNA levels that should help understanding the mechanisms by which glucose affects -cell survival and function under states of chronic hypo- or hyperglycemia.

Publication Title

Cluster analysis of rat pancreatic islet gene mRNA levels after culture in low-, intermediate- and high-glucose concentrations.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55883
Expression Profiles of Primary Mouse Hepatocytes treated with Cyclosporin A and solvent control
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative cross-omics analysis in primary mouse hepatocytes unravels mechanisms of cyclosporin A-induced hepatotoxicity.

Sample Metadata Fields

Specimen part

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accession-icon GSE55881
Expression Profiles of Primary Mouse Hepatocytes treated with Cyclosporin A and solvent control [RNA]
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The transcriptomics changes induced in Primary Mouse Hepatocytes by Cyclosporin A after treatment for 24h and 48h

Publication Title

Integrative cross-omics analysis in primary mouse hepatocytes unravels mechanisms of cyclosporin A-induced hepatotoxicity.

Sample Metadata Fields

Specimen part

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accession-icon GSE18557
Low dose human chorionic gonadotropin hCG
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Influence of ovarian stimulation with 200 IU of hCG, (administered in the late follicular phase among ICSI patients undergoing a GnRH-antagonist protocol), on the endometrium on the day of oocyte pick-up.

Publication Title

Gene expression profile in the endometrium on the day of oocyte retrieval after ovarian stimulation with low-dose hCG in the follicular phase.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE51882
Early Mouse Hepatic Stellate Cell Activation
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Early during culture of primary mouse HSCs gene expression changes.

Publication Title

Gene expression profiling of early hepatic stellate cell activation reveals a role for Igfbp3 in cell migration.

Sample Metadata Fields

Specimen part

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accession-icon GSE23984
Effects of TX527, a hypocalcemic vitamin D analog on human activated T lymphocytes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypocalcemic vitamin D analogs are appealing molecules to exploit the immunomodulatory actions of active vitamin D in vivo. The functional modulation of dendritic cells is regarded as the key mechanism underlying their ability to regulate T cell responses. In contrast, the direct actions of vitamin D and structural analogs on T lymphocytes remain less well characterized.

Publication Title

The vitamin D analog, TX527, promotes a human CD4+CD25highCD127low regulatory T cell profile and induces a migratory signature specific for homing to sites of inflammation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE13027
Endometrial receptivity
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In GnRH-antagonist/rec-FSH stimulated cycles, advanced endometrial maturation on the day of oocyte retrieval correlates with altered gene expression

Publication Title

In GnRH antagonist/rec-FSH stimulated cycles, advanced endometrial maturation on the day of oocyte retrieval correlates with altered gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9954
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to compare gene expression across different murine tissues.

Publication Title

Using ribosomal protein genes as reference: a tale of caution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59143
Expression data from normal and transplanted islets in non-pregnant and pregnant condition
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

ABSTRACT:Pregnancy requires a higher functional beta cell mass and this is associated with profound changes in the gene expression profile of pancreatic islets. Taking Tph1 as a sensitive marker for pregnancy-related islet mRNA expression in female mice, we previously identified prolactin receptors and placental lactogen as key signalling molecules. Since beta cells from male mice also express prolactin receptors, the question arose whether male and female islets have the same phenotypic resilience at the mRNA level during pregnancy. We addressed this question in vitro, by using islet tissue culture with placental lactogen and in vivo, by transplanting male or female islets into female acceptor mice. Additionally, the islet mRNA expression of pregnant prolactin receptor deficient mice was compared with that of their pregnant wild-type littermates. When cultured with placental lactogen, or transplanted in female recipients that became pregnant (day 12.5), male islets induced the islet pregnancy gene signature, which we defined as the 12 highest induced genes in non-transplanted female islets at day 12.5 of pregnancy. In addition, serotonin immunoreactivity was also induced in these male transplanted islets at day 12.5 of pregnancy. In order to investigate the importance of prolactin receptors in these mRNA changes we used a prolactin receptor deficient mouse model. For the 12 genes of the signature, which are highly induced in control pregnant mice, no significant induction of mRNA transcripts was found at day 9.5 of pregnancy. Together, our results support the key role of placental lactogen as a circulating factor that can trigger the pregnancy mRNA profile in male and female beta cells.

Publication Title

Prolactin receptors and placental lactogen drive male mouse pancreatic islets to pregnancy-related mRNA changes.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE19959
Premature progesterone rise
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Premature progesterone (P) rise during GnRH antagonist cycles for IVF is a frequent phenomenon and has been associated with lower pregnancy and implantation rates. Different thresholds of progesterone have been used so far to define its premature rise during the follicular phase of an IVF stimulated cycle. In this study, we evaluated endometrial gene expression on the day of oocyte retrieval according to the level of serum progesterone on the day of hCG administration in GnRH antagonist cycles.Endometrial biopsies from eleven patients were taken with a Pipelle de Cornier (Prodimed, Neuilly-en-Thelle, France) on the day of oocyte retrieval in a GnRH antagonist/rec-FSH stimulated IVF cycle with fresh embryo transfer. Biopsies were analysed for gene expression with Affymetrix Human Genome (HG) U133 Plus 2.0 Arrays and GCOS software (Affymetrix, Santa Clara, CA, USA). Patients were divided into three different groups according to their progesterone serum concentration on the day of hCG administration (A) P <= 0.9 ng/mL, (B) 1 < P < 1.5 ng/mL, and (C) P > 1.5 ng/mL. Serum P was measured with the automated Elecsys immunoanalyser (Roche Diagnostics, Mannheim, Germany). Selected differentially expressed genes were validated with quantitative real-time PCR (QPCR) with TaqMan Gene Expression Assays (Applied Biosystems, Foster City, CA, USA).

Publication Title

Progesterone rise on HCG day in GnRH antagonist/rFSH stimulated cycles affects endometrial gene expression.

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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