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accession-icon GSE52686
Expression data from mDCT cell-line over-expressing hMR
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Target gene of mineralocorticoid receptor (MR) is comparatively unknown, although distal convoluted tubule (DCT) expresses MR in in vivo.

Publication Title

Genome-wide analysis of murine renal distal convoluted tubular cells for the target genes of mineralocorticoid receptor.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP100463
Cardiomyocyte gene programs encoding morphological and functional signatures in cardiac hypertrophy and failure (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 620 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Pressure overload induces a transition from cardiac hypertrophy to heart failure, but its underlying mechanisms remain elusive. Here we reconstruct a trajectory of cardiomyocyte remodeling and clarify distinct cardiomyocyte gene programs encoding morphological and functional signatures in cardiac hypertrophy and failure, by integrating single-cardiomyocyte transcriptome with cell morphology, epigenomic state and heart function. During early hypertrophy, cardiomyocytes activate mitochondrial translation/metabolism genes, whose expression is correlated with cell size and linked to ERK1/2 and NRF1/2 transcriptional networks. Persistent overload leads to a bifurcation into adaptive and failing cardiomyocytes, and p53 signaling is specifically activated in late hypertrophy. Cardiomyocyte-specific p53 deletion shows that cardiomyocyte remodeling is initiated by p53-independent mitochondrial activation and morphological hypertrophy, followed by p53-dependent mitochondrial inhibition, morphological elongation, and heart failure gene program activation. Human single-cardiomyocyte analysis validates the conservation of the pathogenic transcriptional signatures. Collectively, cardiomyocyte identity is encoded in transcriptional programs that orchestrate morphological and functional phenotypes. Overall design: Integrative analysis of single-cardiomyocyte RNA-seq of pressure-overload-induced heart failure model mice and heart failure patients with dilated cardiomyopathy, single-cell morphology, cardiac function and genetic perturbation

Publication Title

Cardiomyocyte gene programs encoding morphological and functional signatures in cardiac hypertrophy and failure.

Sample Metadata Fields

Subject

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accession-icon GSE22065
Expression data from Merm1/Wbscr22 knock-down tumor cells
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Merm1/Wbscr22 is one of genes in chromosomal region deleted in Williams-Beuren syndrome, a multisystem developmental disorder. Wbscr22 contains a nuclear localization signal and an S-adenosyl-L-methionine-dependent methyltransferase fold, but its real function is completely unknown.In this study, to examine the function, we compared the gene expression profiles between control and Merm1/Wbscr22 knock-downed tumor cells.

Publication Title

The novel metastasis promoter Merm1/Wbscr22 enhances tumor cell survival in the vasculature by suppressing Zac1/p53-dependent apoptosis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE44116
Cytosolic Fe-S cluster assembly-deficient mutant, nar1 and nbp35 mutant seedling
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Expression profiling of two-weeks-old wild type, nar1-4/- and nbp35-3/- mutant seedlings. The cytosolic Fe -S cluster assembly pathway is involved in cytosolic and nucleus Fe-S protein maturation.

Publication Title

The role of Arabidopsis thaliana NAR1, a cytosolic iron-sulfur cluster assembly component, in gametophytic gene expression and oxidative stress responses in vegetative tissue.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE145367
GeneChip Expression Array
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis to compare control cells and sorted cells

Publication Title

Identification of two major autoantigens negatively regulating endothelial activation in Takayasu arteritis.

Sample Metadata Fields

Specimen part

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accession-icon GSE32082
DNA methylation profiling of embryonic stem cell differentiation into the three germ layers
  • organism-icon Mus musculus
  • sample-icon 7 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

DNA methylation profiling of embryonic stem cell differentiation into the three germ layers.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE26866
Combined Use of Laser Capture Microdissection and Microarray Analysis Identifies Locally Expressed Disease-Related Genes in Focal Regions of Psoriasis Vulgaris Skin Lesions
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

In this study, we sought to establish the usefulness of LCM on cDNA microarray analysis. We reported that LCM samples improved the sensitivity of detection of differentially expressed genes over conventional bulk tissue analysis. We also provided the new information of chemokine and its receptor interaction within psoriatic lesional skin.

Publication Title

Combined use of laser capture microdissection and cDNA microarray analysis identifies locally expressed disease-related genes in focal regions of psoriasis vulgaris skin lesions.

Sample Metadata Fields

Specimen part, Subject

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accession-icon E-MEXP-2378
Transcription profiling by array of Arabidopsis mutant for srk2cf after treatment with ABA
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Microarray experiments were performed using Arabidopsis wild type plants (Col-0) and srk2cf double knockout mutants to investigate functions of two osmotic stress-activated protein kinases, SRK2C and SRK2F. Transcription profiles of wild type and mutants were compared under abscisic acid (ABA) treatment for 0, 1 and 4 h.

Publication Title

Two closely related subclass II SnRK2 protein kinases cooperatively regulate drought-inducible gene expression.

Sample Metadata Fields

Age, Time

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accession-icon E-MEXP-2377
Transcription profiling by array of Arabidopsis srk2cf mutants in a drought stress time course
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Microarray experiments were performed using Arabidopsis wild type plants (Col-0) and srk2cf double knockout mutants to investigate functions of two osmotic stress-activated protein kinases, SRK2C and SRK2F. Transcription profiles of wild type and mutants were compared under drought stress for 0, 1 and 4 h.

Publication Title

Two closely related subclass II SnRK2 protein kinases cooperatively regulate drought-inducible gene expression.

Sample Metadata Fields

Age, Time

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accession-icon GSE32081
DNA methylation profiling of embryonic stem cell differentiation into the three germ layers [Expression analysis]
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Embryogenesis is tightly regulated by multiple levels of epigenetic systems such as DNA methylation, histone modification, and chromatin remodeling. DNA methylation patterns are erased in primordial germ cells and in the interval immediately following fertilization. Subsequent reprogramming occurs by de novo methylation and demethylation. Variance of DNA methylation patterns between different cell types is not well understood. Here, using methylated DNA immunoprecipitation and tiling array technology, we have comprehensively analysed DNA methylation patterns at proximal promoter regions in mouse embryonic stem (ES) cells, ES cell-derived early germ layers (ectoderm, endoderm and mesoderm) and four adult tissues (brain, liver, skeletal muscle and sperm). Most of the methylated regions in the three germ layers and in the three adult somatic tissues are shared in common. This commonly methylated gene set is enriched in germ cell associated genes that are generally transcriptionally inactive in somatic cells. We also compared DNA methylation patterns with global mapping of histone H3 lysine 4/27 trimethylation, and found that gain of DNA methylation correlates with loss of histone H3 lysine 4 trimethylation. Taken together, our findings indicate that differentiation from ES cells to the three germ layers is accompanied by an increase in the number of commonly methylated DNA regions and that these tissue-specific alterations are present for only a small number of genes. Our findings indicate that DNA methylation at the proximal promoter regions of commonly methylated genes act as an irreversible mark which fixes somatic lineage by repressing transcription of germ cell specific genes.

Publication Title

DNA methylation profiling of embryonic stem cell differentiation into the three germ layers.

Sample Metadata Fields

Sex, 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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