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accession-icon GSE5478
Expression data from metanephric mesenchyme induced to convert into nephron epithelia
  • organism-icon Rattus norvegicus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

During kidney development segmented epithelia of the nephron derive from progenitor cells in the metanephric mesenchyme after induction by secreted molecules from the ureteric bud. We have identified three distinct inductive activities from a ureteric bud cell line. These include leukemia inhibitory factor (LIF), neutrophil gelatinase-associated lipocalin (NGAL) and an active fraction currently referred to as ANX. Each of these activities induces segmented nephron epithelia in isolated rat metanephric mesenchyme over a time period of 7 days. This study was designed to characterize the temporal sequence of gene expression in the course of the conversion process induced by each of the distinct inducers.

Publication Title

beta-catenin/TCF/Lef controls a differentiation-associated transcriptional program in renal epithelial progenitors.

Sample Metadata Fields

Time

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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 GSE87769
Identification of Tfcp2l1 target genes in the mouse kidney
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 6 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

Transcription factor <i>TFCP2L1</i> patterns cells in the mouse kidney collecting ducts.

Sample Metadata Fields

Specimen part

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accession-icon GSE85325
Tfcp2l1 controls cellular patterning of the collecting duct.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression analysis of mouse kidney after conditional inactivation of transcription factor Tfcp2l1

Publication Title

Transcription factor <i>TFCP2L1</i> patterns cells in the mouse kidney collecting ducts.

Sample Metadata Fields

Specimen part

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accession-icon GSE67158
Eomes+ natural Th1 (nTh1) T cells share functional features with classical Th1 (cTh1) cells.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Identification of intrathymic Eomes+ natural Th1 cells creates a novel idea that there is more than one way for the generation of innate CD4 T cells. To more deeply characterize this type of innate T cells, we compared the gene expression profile between nTh1 cells generated in CIITAtg mice and classic Th1 cells differentiated from naive CD4 T cells in Th1-polarizing condition.

Publication Title

Thymic low affinity/avidity interaction selects natural Th1 cells.

Sample Metadata Fields

Age, Specimen part

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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 SRP075541
Unique Transcriptional Programs Identify Subtypes of AKI
  • organism-icon Mus musculus
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Two metrics, a rise in serum creatinine concentration and a decrease in urine output, are considered tantamount to the injury of the kidney tubule and the epithelial cells thereof (AKI).Yet neither criterion emphasizes the etiology or the pathogenetic heterogeneity of acute decreases in kidney excretory function. In fact, whether decreased excretory function due to contraction of the extracellular fluid volume (vAKI) or due to intrinsic kidney injury (iAKI) actually share pathogenesis and should be aggregated in the same diagnostic group remains an open question. To examine this possibility, we created mouse models of iAKI and vAKI that induced a similar increase in serum creatinine concentration. Using laser microdissection to isolate specific domains of the kidney, followed by RNA sequencing, we found that thousands of genes responded specifically to iAKI or to vAKI, but very few responded to both stimuli. In fact, the activated gene sets comprised different, functionally unrelated signal transduction pathways and were expressed in different regions of the kidney. Moreover, we identified distinctive gene expression patterns in human urine as potential biomarkers of either iAKI or vAKI, but not both. Hence, iAKI and vAKI are biologically unrelated, suggesting that molecular analysis should clarify our current definitions of acute changes in kidney excretory function. Overall design: Examining transcriptional profiles of two models of "acute kidney injury" (iAKI and pAKI), compared to controls, in different microanatomic regions of the kidney using laser capture microdissection

Publication Title

Unique Transcriptional Programs Identify Subtypes of AKI.

Sample Metadata Fields

Subject

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accession-icon GSE85258
Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

It is unknown if gene expression profiles from primary RCC tumors differ from patient-matched metastatic tumors. Thus, we sought to identify differentially expressed genes between patient-matched primary and metastatic RCC tumors in order to understand the molecular mechanisms underlying the development of RCC metastases.

Publication Title

Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE44671
Wound response in fs-THz-irradiated mouse skin
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Terahertz (THz) technology has emerged for biomedical applications such as scanning, molecular spectroscopy, and medical imaging. However, the biological effect of THz radiation is not fully understood. Non-thermal effects of THz radiation were investigated by applying a femtosecond-terahertz (fs-THz) pulse to mouse skin. Analysis of the genome-wide expression profile in fs-THz-irradiated skin indicated that wound responses were predominantly through NFB1- and Smad3/4-mediated transcriptional activation. Repeated fs-THz radiation delayed the closure of mouse skin punch wounds due to up-regulation of transforming growth factor-beta (TGF-). These findings suggest that fs-THz radiation provokes a wound-like signal in skin with increased expression of TGF- and activation of its downstream target genes, which perturbs the wound healing process in vivo.

Publication Title

High-power femtosecond-terahertz pulse induces a wound response in mouse skin.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP039604
Pri-miRNA identification by generating a Drosha null/conditional-null mouse model.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the ability of the Drosha null/conditional-null mouse model to enable the identification of pri-miRNA transcripts. The conditional-null allele of Drosha phenocopies the null allele both in mESC and in mice, upon conversion to the null state with Cre. Overall design: Examination of the effects of Drosha deficiency in mouse embryonic stem cells.

Publication Title

microTSS: accurate microRNA transcription start site identification reveals a significant number of divergent pri-miRNAs.

Sample Metadata Fields

No sample metadata fields

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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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