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accession-icon GSE43798
Microarray of cardiac biventricle from PGC-1a-/-bf/f/MerCre mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The following abstract from the submitted manuscript describes the major findings of this work.

Publication Title

A role for peroxisome proliferator-activated receptor γ coactivator-1 in the control of mitochondrial dynamics during postnatal cardiac growth.

Sample Metadata Fields

Specimen part

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accession-icon SRP090348
Molecular architecture underlying fluid absorption by the developing inner ear
  • organism-icon Mus musculus
  • sample-icon 199 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Single-cell RNA-seq analysis of pre- and postnatal mouse endolymphatic sac demonstrates two types of differentiated cells distinguished by their mRNA expression signatures. Overall design: mRNA-seq profiles from 213 single cells from embryonic day 12.5, 16.5, postnatal day 5 and 30 mouse endolymphatic sac were analyzed

Publication Title

Molecular architecture underlying fluid absorption by the developing inner ear.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE25407
Expression data from breast tumors and reduction mammoplasty explants
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Breast tumorigenesis involves modulation of gene expression.

Publication Title

Nucleotide excision repair deficiency is intrinsic in sporadic stage I breast cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE29899
Long non-coding RNAs regulate adipogenesis
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Long noncoding RNAs regulate adipogenesis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE29897
Long non-coding RNAs regulate adipogenesis (Affymetrix)
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process.

Publication Title

Long noncoding RNAs regulate adipogenesis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP007112
Long non-coding RNAs regulate adipogenesis (Illumina RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Adipogenesis involves the regulation of hundreds of genes by several well-studied proteins, but the role of long, noncoding RNAs in this process has not been defined. We track the regulation of hundreds of lncRNAs during adipocyte differentiation, and find several that are essential for this process. Overall design: We extractedbrown and white primary adipocytes and pre-adipocytes and profiled lncRNA expresssion via mRNA-Seq. We also profiled cultured, differentiated adipocytes to verify that we could recapitulate the adipocyte expression profile in preparation for a loss-of-function screen for essential adipogenic lincRNAs.

Publication Title

Long noncoding RNAs regulate adipogenesis.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE56348
Gene expression microarray profiling in mice hearts with pathological and physiological cardiac hypertrophy
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Compelling evidence suggests that mitochondrial dysfunction contributes to the pathogenesis of heart failure, including defects in the substrate oxidation, and the electron transport chain (ETC) and oxidative phosphorylation (OXPHOS). However, whether such changes occur early in the development of heart failure, and are potentially involved in the pathologic events that lead to cardiac dysfunction is unknown. To address this question, we conducted transcriptomic/metabolomics profiling in hearts of mice with two progressive stages of pressure overload-induced cardiac hypetrophy: i) cardiac hypertrophy with preserved ventricular function achieved via transverse aortic constriction for 4 weeks (TAC) and ii) decompensated cardiac hypertrophy or heart failure (HF) caused by combining 4 wk TAC with a small apical myocardial infarction. Transcriptomic analyses revealed, as shown previously, downregulated expression of genes involved in mitochondrial fatty acid oxidation in both TAC and HF hearts compared to sham-operated control hearts. Surprisingly, however, there were very few changes in expression of genes involved in other mitochondrial energy transduction pathways, ETC, or OXPHOS. Metabolomic analyses demonstrated significant alterations in pathway metabolite levels in HF (but not in TAC), including elevations in acylcarnitines, a subset of amino acids, and the lactate/pyruvate ratio. In contrast, the majority of organic acids were lower than controls. This metabolite profile suggests bottlenecks in the carbon substrate input to the TCA cycle. This transcriptomic/metabolomic profile was markedly different from that of mice PGC-1a/b deficiency in which a global downregulation of genes involved in mitochondrial ETC and OXPHOS was noted. In addition, the transcriptomic/metabolomic signatures of HF differed markedly from that of the exercise-trained mouse heart. We conclude that in contrast to current dogma, alterations in mitochondrial metabolism that occur early in the development of heart failure reflect largely post-transcriptional mechanisms resulting in impedance to substrate flux into the TCA cycle, reflected by alterations in the metabolome.

Publication Title

Energy metabolic reprogramming in the hypertrophied and early stage failing heart: a multisystems approach.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP144212
CDK12 mediated transcriptional regulation in U2OS cells
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

While activation of canonical NF-?B signaling through the IKK complex is well studied, few regulators of NIK-dependent non-canonical p52 nuclear translocation have been identified. We discovered a novel role for cyclin dependent kinase 12 (CDK12) in transcriptionally regulating the non-canonical NF-?B pathway. High-content phenotypic screening identified a novel compound, 919278, which inhibits lymphotoxin ß receptor (LTßR)- and FN14-dependent p52 nuclear translocation, but not TNFa receptor (TNFR)-mediated, canonical NF-?B p65 nuclear translocation. Chemoproteomics identified cyclin dependent kinase 12 (CDK12) as the target of 919278. CDK12 inhibition by 919278, THZ1, or siRNA knock down all affect similar global transcriptional changes and prevent LTßR and FN14-dependent MAP3K14 (NIK) mRNA induction and subsequent protein accumulation. In addition, 919278 and THZ1 treatment reduce RNA Pol II CTD phosphorylation. This powerful approach of coupling a phenotypic screen with chemoproteomics revealed a novel regulatory pathway of the non-canonical NF-?B pathway that could serve as a therapeutic target in autoimmunity and cancer. Overall design: There are TWEAK stimulated and unstimulated conditions, 4hr and 24hr time points. 7 treatments (DMSO, BIO0702697, BIO0919278, BIO032202, NTsiRNA, siRNAs523626, siRNAs523629) in duplicates. In total, 56 sample were sequenced and analyzed.

Publication Title

CDK12-mediated transcriptional regulation of noncanonical NF-κB components is essential for signaling.

Sample Metadata Fields

Cell line, Treatment, Subject, Time

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accession-icon SRP150747
Identification of cell type specfici markers for type I and type II Hair cells in the mouse utricle using single cell RNAseq
  • organism-icon Mus musculus
  • sample-icon 112 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500, Illumina HiSeq 1000

Description

Single cell RNAseq analysis of hair cells isolated from the mouse utricle at three postnatal time points Overall design: Utricular hair cells were isolated at P12 (49 cells) and P100 (23 cells) and then combined with a previously published single cell data set (samples from GSE71982) containing 35 utricular hair cells isolated at P1 (Burns et al., 2015) The previously published single cell P1 samples have been re-normalized. These samples are included in this series and all processed data are available in the file ute_normalized_data.txt, available at the foot of this record.

Publication Title

Characterization of spatial and temporal development of Type I and Type II hair cells in the mouse utricle using new cell-type-specific markers.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE59360
Whole gene expression data from Gfi-1-/- and Gfi-1-/-;Id2+/- mouse bone marrow cells
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To understand molecular mechanisms by which reducing Id2 rescues impaired erythropoiesis and hematopoietic progenitor cell development in Gfi-1-/- mice, we compared gene expression in Gfi-1-/-;Id2+/- and Gfi-1-/- BMC using Affymetrix microarray.

Publication Title

Gfi-1 regulates the erythroid transcription factor network through Id2 repression in murine hematopoietic progenitor cells.

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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