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accession-icon GSE114620
Familial resemblances in human whole blood transcriptome
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The objective is to quantify the contribution of genetic and common environmental effects in the familial resemblances of whole blood genome-wide gene expression levels. We also make comparisons with familial resemblances in blood leukocytes genome-wide DNA methylation levels in the same cohort in order to further investigate biological mechanims.

Publication Title

Familial resemblances in human whole blood transcriptome.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE12869
Positional identification of Adamts16 variants linked to inherited hypertension
  • organism-icon Rattus norvegicus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Positional identification of variants of Adamts16 linked to inherited hypertension.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12724
Positional identification of Adamts16 variants linked to inherited hypertension: knockdown of Adamts16 in NRK-52E cells
  • organism-icon Rattus norvegicus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We used Affymetrix GeneChips to expression profile rat kidney NRK-52E cells treated with control scrambled siRNA or siRNA specifically targeting Adamts16. The goal of this project was to identify the downstream genes regulated by Adamts16 (the function of Adamts16 has yet to be fully delineated). Gene expression differences resulting from these siRNA-mediated gene knockdown experiments will be compared to the gene expression profiling experiments comparing kidneys from Dahl salt-senstive hypertensive inbred strain versus less hypertensive S.LEW(D1MCO4x1x3Bx1) congenic strain. The S.LEW(D1MCO4x1x3Bx1) congenic animal is an S rat containing the LEWIS allele for Adamts16 instead of the S allele. Gene expression differences in the kidneys of S.LEW(D1MCO4x1x3Bx1) versus S are hypothesized to result from sequence differences between the S and LEWIS alleles for Adamts16. It is further hypothesized that allelic differences in Adamts16 in inbred rats is responsible for blood pressure variance. The downstream genes regulated by Adamts16 may provide insight pertaining to the mechanism of blood pressure differences.

Publication Title

Positional identification of variants of Adamts16 linked to inherited hypertension.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12725
Positional identification of Adamts16 variants linked to inherited hypertension: gene expression of congenic vs S rats
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We used Affymetrix GeneChips to expression profile kidneys from Dahl salt-senstive hypertensive inbred strain and less hypertensive S.LEW(D1MCO4x1x3Bx1) congenic strain to identify genes downstream of Adamts16 (the function of Adamts16 has yet to be fully delineated). The S.LEW(D1MCO4x1x3Bx1) congenic animal is an S rat containing the LEWIS allele for Adamts16 instead of the S allele. It is hypothesized that allelic differences in Adamts16 in inbred rats is responsible for blood pressure variance. We further hypothesize that gene expression differences in the kidneys of S.LEW(D1MCO4x1x3Bx1) versus S result from sequence differences between the S and LEWIS alleles of Adamts16. Lastly, the downstream genes differentially regulated by the Adamts16 alleles may provide insight pertaining to the mechanism of blood pressure differences. Gene expression differences resulting from these kidney comparisons will be compared to the gene expression profiling experiments comparing siRNA-mediated knockdown of Adamts16 in NRK-52E kidney cells versus scrambled siRNA control.

Publication Title

Positional identification of variants of Adamts16 linked to inherited hypertension.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP104995
Transcriptome profiling of Peyer's patch naive and germinal center B cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Germinal center (CD19+Fas+GL7+) and naive (CD19+Fas-GL7-) B cells were sorted from Peyer''s patches of littermate 12 weeks old WT C57BL/6 mice. Three biological replicates were analyzed, each composed of a pool of 5 female mice. RNA was purified from pellets of 2-2.5x10^4 cells and sequencing libraries were prepared from 100ng of total RNA per replicate. Overall design: Transcriptional profiling of germinal center and naive B cells from Peyer's patches of WT mice.

Publication Title

A broad atlas of somatic hypermutation allows prediction of activation-induced deaminase targets.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Subject

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accession-icon GSE89793
Loss of the Inhibitory Immune Checkpoint CD85j/LILRB1 on Malignant Plasma Cells Contributes to Immune Escape in Multiple Myeloma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Mechanisms of immune regulation may control proliferation of aberrant plasma cells (PCs) in patients with the asymptomatic monoclonal gammopathy of undetermined significance (MGUS) preventing progression to active multiple myeloma (MM). We investigated the role of CD85j (LILRB1), an inhibitory immune checkpoint for B cell function, in MM pathogenesis.

Publication Title

Loss of the Immune Checkpoint CD85j/LILRB1 on Malignant Plasma Cells Contributes to Immune Escape in Multiple Myeloma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE14739
Impact of breed and sex on porcine endocrine transcriptome: A Bayesian biometrical analysis
  • organism-icon Sus scrofa
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Background: Transcriptome variability is due to genetic and environmental causes, much like any other complex phenotype. Ascertaining the transcriptome differences between individuals is an important step to understand how selection and genetic drift may affect gene expression. To that end, extant divergent livestock breeds offer an ideal genetic material.

Publication Title

Impact of breed and sex on porcine endocrine transcriptome: a bayesian biometrical analysis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE48790
Expression data from GTF2i mutated ES cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Data present the expression analysis of different mouse ES cell line with altered expression of GTF2I.

Publication Title

TFII-I regulates target genes in the PI-3K and TGF-β signaling pathways through a novel DNA binding motif.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP069029
PROP1 triggers epithelial-mesenchymal transition-like process in pituitary stem cells [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 144 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mutations in PROP1 are the most common cause of hypopituitarism in humans; therefore, unraveling its mechanism of action is highly relevant from a therapeutic perspective. Our current understanding of the role of PROP1 in the pituitary gland is limited to the regulation of pituitary transcription factors Hesx1 and Pit1. To elucidate the comprehensive PROP1-dependent gene regulatory network, we conducted genome wide analysis of PROP1 DNA binding and effects on gene expression in mutant tissues, isolated stem cells and engineered cell lines. We determined that PROP1 is essential for maintaining proliferation of stem cells and stimulating them to undergo an epithelial to mesenchymal transition-like process necessary for cell migration and differentiation. Genomic profiling reveals that PROP1 binds to and represses claudin 23, characteristic of epithelial cells, and it activates EMT inducer genes: Zeb2, Notch2 and Gli2. Our findings identify PROP1 as a central transcriptional component of pituitary stem cell differentiation. Overall design: Pituitary Colony forming cells mRNA of 13-day old wild type (Prop1 +/+), Prop1 mutants (Prop1df/df), wild type (Pit1+/+) and Pit1 mutants (Pit1 dw/dw) mice were generated by deep sequencing, in triplicates.

Publication Title

PROP1 triggers epithelial-mesenchymal transition-like process in pituitary stem cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE23724
Genes differentially regulated by the glucocorticoid receptor in developing skin of the GR knock out and wt embryos.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To understand the transcriptional program by which GR regulates skin development, we performed a microarray analysis using the skin of E18.5 GR-/- and GR+/+ mouse embryos.

Publication Title

Glucocorticoid receptor regulates overlapping and differential gene subsets in developing and adult skin.

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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