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accession-icon GSE10017
Podocytes use FcRn to clear IgG from the glomerular basement membrane
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The glomerular filtration barrier prevents large serum proteins from being lost into the urine. It is not known, however, why the filter does not routinely clog with large proteins that enter the glomerular basement membrane (GBM). Here we provide evidence that an active transport mechanism exists to remove immunoglobulins that accumulate at the filtration barrier. We found that FcRn, an IgG and albumin transport receptor, is expressed in podocytes and functions to internalize IgG from the GBM. Mice lacking FcRn accumulated IgG in the GBM as they aged and tracer studies showed delayed clearance of IgG from the kidneys of FcRn deficient mice. Supporting a role for this pathway in disease, saturating the clearance mechanism potentiated the pathogenicity of nephrotoxic sera. These studies support the idea that podocytes play an active role in removing proteins from the GBM and suggest that genetic or acquired impairment of the clearance machinery is likely to be a common mechanism promoting glomerular diseases.

Publication Title

Podocytes use FcRn to clear IgG from the glomerular basement membrane.

Sample Metadata Fields

Specimen part

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accession-icon SRP154360
Genome-wide chromatin accessibility and gene expression profiling of renal cell carcinoma and matched normal kidney tubules [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We generated primary cultures from renal cell carcinoma and matched normal primary kidney cortex tubule cell cultures from 3 patients. Early passage cultures of these two cell types were subjected to chromatin accessibility profiling (DNase-seq) and gene expression profiling (RNA-seq). Studying these paired and patient-matched controlled data sets will shed light on the epigenomic changes that underlie transformation of kidney tubules into malignant cancers. Overall design: Paired DNase-seq and RNA-seq data sets from 2 different primary human kidney cell types (normal and cancer) Note from submitter: The HIM23 samples have a more narrow consent and their raw data will be submitted to dbGaP.

Publication Title

Integrated epigenomic profiling reveals endogenous retrovirus reactivation in renal cell carcinoma.

Sample Metadata Fields

Sex, Age, Cell line, Subject

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accession-icon GSE30187
Expression data in the mouse brain following the glucocorticoid receptor overexpression in the forebrain (GRov) during different periods in development
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The glucocorticoid receptor overexpression in early life is sufficient to alter gene expression patterns for the rest of the animal's life.

Publication Title

Early-life forebrain glucocorticoid receptor overexpression increases anxiety behavior and cocaine sensitization.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE2164
Gender-specific gene expression in post-mortem human brain
  • organism-icon Homo sapiens
  • sample-icon 87 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Gender differences in brain development and in the prevalence of neuropsychiatric disorders such as depression have been reported. Gender differences in human brain might be related to patterns of gene expression. Microarray technology is one useful method for investigation of gene expression in brain. We investigated gene expression, cell types, and regional expression patterns of differentially expressed sex chromosome genes in brain. We profiled gene expression in male and female dorsolateral prefrontal cortex, anterior cingulate cortex, and cerebellum using the Affymetrix oligonucleotide microarray platform. Differentially expressed genes between males and females on the Y chromosome (DBY, SMCY, UTY, RPS4Y, and USP9Y) and X chromosome (XIST) were confirmed using real-time PCR measurements. In situ hybridization confirmed the differential expression of gender-specific genes and neuronal expression of XIST, RPS4Y, SMCY, and UTY in three brain regions examined. The XIST gene, which silences gene expression on regions of the X chromosome, is expressed in a subset of neurons. Since a subset of neurons express gender-specific genes, neural subpopulations may exhibit a subtle sexual dimorphism at the level of differences in gene regulation and function. The distinctive pattern of neuronal expression of XIST, RPS4Y, SMCY, and UTY and other sex chromosome genes in neuronal subpopulations may possibly contribute to gender differences in prevalence noted for some neuropsychiatric disorders. Studies of the protein expression of these sex-chromosome-linked genes in brain tissue are required to address the functional consequences of the observed gene expression differences.

Publication Title

Gender-specific gene expression in post-mortem human brain: localization to sex chromosomes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6306
Sample Matching by Inferred Agonal Stress in Gene Expression Analyses of the Brain
  • organism-icon Homo sapiens
  • sample-icon 1210 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Gene expression patterns in the brain are strongly influenced by the severity of physiological stress at death. This agonal effect, if not well controlled, can lead to spurious findings in case-control comparisons. While many recent studies match samples by tissue pH and clinically recorded agonal conditions, we found that these commonly used indicators were sometimes at odds with observed stress-related patterns of gene expression, and that matching by these criteria still sometimes results in identifying differences between cases and controls that are primarily driven by residual agonal effects. This problem is analogous to the one in genetic studies, where race and ethnicity are often imprecise proxies for complex environmental and genetic factors.

Publication Title

Sample matching by inferred agonal stress in gene expression analyses of the brain.

Sample Metadata Fields

Subject

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accession-icon SRP095091
Gene expression profile of regulatory T cell (Treg) subsets from CD28-deficient mouse
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A comparative analysis of gene expression of CD4+ EGFP+ Nrp1+ (tTreg, thymus-derived Treg), CD4+ EGFP+ Nrp1- (pTreg, peripherally-derived Treg) and CD4+ EGFP- (Tconv, conventional T cell) in CD28-/- Foxp3EGFP and Foxp3EGFP mice. Overall design: Nrp1+ Treg (tTreg), Nrp1- Treg (pTreg) and Tconv were sorted from Foxp3EGFP and CD28-/-Foxp3EGFP mice. Total RNAs were extracted from whole samples and analyzed by RNA-seq.

Publication Title

CD28 co-stimulation is dispensable for the steady state homeostasis of intestinal regulatory T cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE45642
Circadian patterns of gene expression in the human brain and disruption in major depressive disorder [control set]
  • organism-icon Homo sapiens
  • sample-icon 667 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A cardinal symptom of Major Depressive Disorder (MDD) is the disruption of circadian patterns. Yet, to date, there is no direct evidence of circadian clock dysregulation in the brains of MDD patients. Circadian rhythmicity of gene expression has been observed in animals and peripheral human tissues, but its presence and variability in the human brain was difficult to characterize. Here we applied time-of-death analysis to gene expression data from high-quality postmortem brains, examining 24-hour cyclic patterns in six cortical and limbic regions of 55 subjects with no history of psychiatric or neurological illnesses ('Controls') and 34 MDD patients. Our dataset covered ~12,000 transcripts in the dorsolateral prefrontal cortex (DLPFC), anterior cingulate cortex (AnCg), hippocampus (HC), amygdala (AMY), nucleus accumbens (NAcc) and cerebellum (CB). Several hundred transcripts in each region showed 24-hour cyclic patterns in Controls, and >100 transcripts exhibited consistent rhythmicity and phase-synchrony across regions. Among the top ranked rhythmic genes were the canonical clock genes BMAL1(ARNTL), PER1-2-3, NR1D1(REV-ERB), DBP, BHLHE40(DEC1), and BHLHE41(DEC2). The phasing of known circadian genes was consistent with data derived from other diurnal mammals. Cyclic patterns were much weaker in MDD brains, due to shifted peak timing and potentially disrupted phase relationships between individual circadian genes. This is the first transcriptome-wide analysis of cyclic patterns in the human brain and demonstrates a rhythmic rise and fall of gene expression in regions outside of the suprachiasmatic nucleus in control subjects. The description of its breakdown in MDD suggest novel molecular targets for treatment of mood disorders.

Publication Title

Circadian patterns of gene expression in the human brain and disruption in major depressive disorder.

Sample Metadata Fields

Subject

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accession-icon GSE140599
Hippocampal Gene Expression in bred High Responder (bHR) vs. bred Low Responder (bLR) Rats
  • organism-icon Rattus norvegicus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genetic Liability for Internalizing Versus Externalizing Behavior Manifests in the Developing and Adult Hippocampus: Insight From a Meta-analysis of Transcriptional Profiling Studies in a Selectively Bred Rat Model.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE140594
Hippocampal Gene Expression in bred High Responder (bHR) vs. bred Low Responder (bLR) Rats: Illumina Microarray Data from Generation F15
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

The strong pattern of comorbidity amongst psychiatric disorders is believed to be generated by a spectrum of latent liability, arising from a complex interplay of genetic risk and environmental factors, such as stress and childhood adversity. At one end of this spectrum are internalizing disorders, which are associated with neuroticism, anxiety, and depression. At the other end of the spectrum are externalizing disorders, which are associated with risk-taking and novelty-seeking, as seen in mania, substance abuse, and impulse-control disorders. We model the genetic contributions underlying both extremes of this spectrum by selectively breeding rats that react differently to a novel environment. “Bred high responder” (bHR) rats are highly exploratory with a disinhibited, novelty-seeking temperament, including hyperactivity, aggression, and drug-seeking. “Bred low responder” (bLR) rats are highly-inhibited, exhibiting reduced locomotor activity and anxious and depressive-like behavior. These behavioral propensities are robust and stable, beginning early in development similar to temperament in humans. This Illumina (RatRef-12v1 Beadchip) microarray study examined gene expression in the hippocampus in generation F15 male bHR rats and bLR rats at age postnatal day 14 (P14, n=6 per group).

Publication Title

Genetic Liability for Internalizing Versus Externalizing Behavior Manifests in the Developing and Adult Hippocampus: Insight From a Meta-analysis of Transcriptional Profiling Studies in a Selectively Bred Rat Model.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP073813
RNA-sequencing of human post-mortem brain tissues
  • organism-icon Homo sapiens
  • sample-icon 335 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-seq profiling was conducted on clinically-annotated human post-mortem brain tissues Overall design: We measured the transcriptome in 281 clinically-annotated human post-mortem brain tissues

Publication Title

Post-mortem molecular profiling of three psychiatric disorders.

Sample Metadata Fields

Sex, Specimen part, Race, Subject

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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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