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accession-icon GSE7396
TfRc Dependent Gene Expression in Embryonic Renal Cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We investigated the ability of transferrin receptor1 (TfRc) knockout cells to populate different domains of the developing kidney by using a chimeric approach. The TfRc cells developed into all segments of the developing nephron, but there was a relative exclusion from the ureteric bud and a positive bias towards the stromal compartment. Here we conducted a microarray analysis of differential gene expression between TfRc deficient and wild type (wt) cells in chimeric embryonic kidneys derived from embryos created by blastocyst injection of wt blastocysts with TfRc-/- green fluorescent protein-expressing (GFP+) embryonic stem cells.

Publication Title

Scara5 is a ferritin receptor mediating non-transferrin iron delivery.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14221
TgFVB vs FVB 6 and 8 week kidneys
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Human Immunodeficiency Virus (HIV) associated nephropathy (HIVAN) is characterized clinically by both nephrosis and by rapidly progressive kidney dysfunction. HIVAN is characterized histologically by both collapsing focal segmental glomerulosclerosis and prominent tubular damage. Neutrophil Gelatinase Associated Lipocalin (NGAL) is known to be rapidly expressed in distal segments of the nephron at the onset of different types of acute kidney injury, but few studies have examined NGAL in chronic kidney disease models. We found that urinary NGAL (uNGAL) was highly expressed by patients with biopsy proven HIVAN, whereas HIV+ patients without HIVAN demonstrated lower levels. uNGAL was also highly expressed in the TgFVB mouse model of HIVAN, which demonstrated NGAL gene expression in dilated, microcystic segments of the nephron. These data show that NGAL is markedly upregulated in the setting of HIVAN, and suggest that uNGAL levels may provide a non-invasive screening test to detect HIVAN related tubular disease.

Publication Title

Urinary NGAL marks cystic disease in HIV-associated nephropathy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57754
Epigenetic profiling of well differentiated and dedifferentiated liposarcoma identifies H3K9me3 and Kruppel-like factor 6 (KLF6) as determinants of aggressiveness in sarcoma
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Increased H3K9me3 drives dedifferentiated phenotype via KLF6 repression in liposarcoma.

Sample Metadata Fields

Cell line

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accession-icon GSE57750
Epigenetic profiling of well differentiated and dedifferentiated liposarcoma identifies H3K9me3 and Kruppel-like factor 6 (KLF6) as determinants of aggressiveness in sarcoma (expression)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Little is known about the epigenomics of liposarcoma (LPS). Here, we profiled the global expression of 9 epigenetic marks in well differentiated (WD) and dedifferentiated (DD) LPS from 151 patients and found increased H3K9me3 among DDLPS tumors. We performed ChIP-seqand gene expression profiling of patient derived cell lines to discover functionally significant regions of differential H3K9me3 enrichment between WDLPS and DDLPS associated with concomitant gene expression changes.

Publication Title

Increased H3K9me3 drives dedifferentiated phenotype via KLF6 repression in liposarcoma.

Sample Metadata Fields

Cell line

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accession-icon SRP115944
Cannabinoid Modulation of Eukaryotic Initiation Factors (eIF2a and eIF2B1) and Behavioral Cross-Sensitization to Cocaine in Adolescent Rats
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Reduced eukaryotic Initiation Factor 2 (eIF2)a phosphorylation (p-eIF2a) enhances protein synthesis, memory formation, and addiction-like behaviors. However, p-eIF2a has not been examined with regard to psychoactive cannabinoids and cross-sensitization. Here, we find that a cannabinoid receptor agonist (WIN 55,212-2 mesylate [WIN]) reduced p-eIF2a in vitro by upregulating GADD34 (PPP1R15A), the recruiter of protein phosphatase 1 (PP1). The induction of GADD34 was linked to ERK/CREB signaling and to CREB-binding protein (CBP)-mediated histone hyperacetylation at the Gadd34 locus. In vitro, WIN also upregulated eIF2B1, an eIF2 activator subunit. We next found that WIN administration in vivo reduced p-eIF2a in the nucleus accumbens of adolescent, but not adult, rats. By contrast, WIN increased dorsal striatal levels of eIF2B1 and ?FosB among both adolescents and adults. In addition, we found cross-sensitization between WIN and cocaine only among adolescents. These findings show that cannabinoids can modulate eukaryotic initiation factors, and they suggest a possible link between p-eIF2a and the gateway drug properties of psychoactive cannabinoids. Overall design: RNAseq from PC12 cell line with a 6 hour DMSO or WIN treatment.

Publication Title

Cannabinoid Modulation of Eukaryotic Initiation Factors (eIF2α and eIF2B1) and Behavioral Cross-Sensitization to Cocaine in Adolescent Rats.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69306
Significant obesity associated gene expression changes are in the stomach but not intestines in obese mice
  • organism-icon Mus musculus
  • sample-icon 129 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The gastrointestinal (GI) tract can have significant impact on the regulation of the whole body metabolism and may contribute to the development of obesity and diabetes. To systemically elucidate the role of the GI tract in obesity, we performed a transcriptomic analyses in different parts of the GI tract of two obese mouse models: ob/ob and high-fat diet (HFD) fed mice. Compared to their lean controls, both obese mouse groups had significant amount of gene expression changes in the stomach (ob/ob: 959; HFD: 542), much more than the number of changes in the intestine. Despite the difference in genetic background, the two mouse models shared 296 similar gene expression changes in the stomach. Among those genes, some had known associations to obesity, diabetes and insulin resistance. In addition, the gene expression profile strongly suggested an increased gastric acid secretion in both obese mouse models, probably through an activation of the gastrin pathway. In conclusion, our data reveal a previously unknown dominant connection between the stomach and obesity.

Publication Title

Significant obesity-associated gene expression changes occur in the stomach but not intestines in obese mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE70262
The impact of P53 loss on transcriptome changes following loss of Apc in the intestine
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

BACKGROUND: p53 is an important tumor suppressor with a known role in the later stages of colorectal cancer, but its relevance to the early stages of neoplastic initiation remains somewhat unclear. Although p53-dependent regulation of Wnt signalling activity is known to occur, the importance of these regulatory mechanisms during the early stages of intestinal neoplasia has not been demonstrated.

Publication Title

A limited role for p53 in modulating the immediate phenotype of Apc loss in the intestine.

Sample Metadata Fields

Specimen part

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accession-icon GSE37369
Caco-2 cell gene expression following co-culture with Lactobacillus casei and Bifidobacterium breve
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To characterize how symbiotic bacteria affect the lolecular and cellular mechanisms of epithelial homeostasis, human colonic Caco-2 cells

Publication Title

Epithelial cell proliferation arrest induced by lactate and acetate from Lactobacillus casei and Bifidobacterium breve.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12051
Microarray predictor of response to infliximab in rheumatoid arthritis (RA) patients
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

We sought to find a gene-expression multigene predictor of response to infliximab therapy in Rheumatoid Arthritis patients. Using internal and external cross-validation systems we have built and validated an 8-gene predictor for response to infliximab.

Publication Title

An eight-gene blood expression profile predicts the response to infliximab in rheumatoid arthritis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE9785
Expression data from Newborn mice infected with Shigella flexneri
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

In order to identify the developmental changes controlling the switch from disease susceptibility to resistance, we performed global gene expression analysis on non-infected and infected intestinal tissues taken from 4-day- and 7-day-old animals.

Publication Title

Maturation of paneth cells induces the refractory state of newborn mice to Shigella infection.

Sample Metadata Fields

Age

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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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