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accession-icon GSE4616
Time series of diabetes and exercise training induced expression changes in cardiac muscle of mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

We investigated the effects of diabetes, physical training, and their combination on the gene expression of cardiac muscle. Mice were divided to control (C), training (T), streptozotocin-induced diabetic (D), and diabetic training (DT) groups. Training groups performed 1, 3, or 5 weeks of endurance training on a motor-driven treadmill. Muscle samples from T and DT groups together with respective controls were collected 24 hours after the last training session. Gene expression of cardiac muscles were analyzed using Affymetrix Gene chip MG U74Av2 (Affymetrix , Inc., Santa Clara, CA).

Publication Title

Effects of streptozotocin-induced diabetes and physical training on gene expression of titin-based stretch-sensing complexes in mouse striated muscle.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1659
Time series of diabetes and exercise training induced expression changes in skeletal muscle of mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Experiment protocol:

Publication Title

Effects of streptozotocin-induced diabetes and physical training on gene expression of extracellular matrix proteins in mouse skeletal muscle.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE47420
Analysis of the effects of Bmx deficiency on Angiotensin II -induced cardiac hypertrophy
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

We show that Bmx-deficiency reduces angiotensin II -induced cardiac hypertrophy and pathological gene expression

Publication Title

Endothelial Bmx tyrosine kinase activity is essential for myocardial hypertrophy and remodeling.

Sample Metadata Fields

Sex

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accession-icon GSE38457
VEGF-B in rat hearts
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

VEGF-B-induced vascular growth leads to metabolic reprogramming and ischemia resistance in the heart.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE38454
Analysis of the global gene expression in VEGF-B transgenic rat hearts
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

We show that an excess of VEGF-B protects the heart via adaptive cardiac hypertrophy and increased coronary arterial reserve, and by inducing a shift from lipid to glucose metabolism.

Publication Title

VEGF-B-induced vascular growth leads to metabolic reprogramming and ischemia resistance in the heart.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE69149
Histone gene regulation in normal and tumor cells
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st), Illumina Genome Analyzer IIx

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE69148
Differential response of normal and tumor cells to nucleosome depletion
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Gene-expression in siRNA treated U2OS and hTERT-RPE1 cells showed that CASP8AP2, NPAT and HINFP do not regulate expression of each other, and do not have any common target genes, except histones. Most histone genes are downregulated in U2OS cells following loss of CASP8AP2, NPAT or HINFP. In normal cells, highly-expressed histone genes were downregulated, albeit less than in tumor cells following loss of CASP8AP2. The p53 target genes were upregulated relatively late, clearly after the changes in expression of histone genes were observed.

Publication Title

Genome-wide screen of cell-cycle regulators in normal and tumor cells identifies a differential response to nucleosome depletion.

Sample Metadata Fields

Cell line

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accession-icon GSE30183
Expression profiling of MCF7 cells upon nutlin3a treatment
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The tumor suppressor p53 can induce various biological responses. Yet it is not clear whether it is p53 in vivo promoter selectivity that triggers different transcription programs leading to different outcomes. Our analysis of genome-wide chromatin occupancy by p53 using ChIP-seq (deposited in Sequence Read Archive database as SRP007261) revealed p53 default program, i.e. the pattern of major p53-bound sites that is similar upon p53 activation by nutlin3a, RITA or 5-FU in breast cancer cells, despite different biological outcomes triggered by these compounds. Parallel analysis of gene expression allowed identification of 280 previously unknown p53 target genes, including p53-repressed AURKA. The consensus p53 binding motif was present more frequently in p53-induced, than in repressed targets, indicating different mechanisms of gene activation versus repression. We identified several possible cofactors of p53, and found that STAT3 antagonised p53-mediated repression of a subset of genes, including AURKA. Finally, we showed that the expression of the novel p53 targets correlates with p53 status and survival in breast cancer patients.

Publication Title

Insights into p53 transcriptional function via genome-wide chromatin occupancy and gene expression analysis.

Sample Metadata Fields

Cell line, Treatment

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accession-icon E-MEXP-86
Transcription profiling of acteylcholine receptor immunization between RIIIS/J and B10.RIII mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Comparison of acetylcholine receptor immunization between RIIIS/J and B10.RIII mice.

Publication Title

Periodic gene expression program of the fission yeast cell cycle.

Sample Metadata Fields

Specimen part

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accession-icon SRP095212
Influence of PepFect14 transfection on cellular response
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Cell-penetrating peptides (CPP) uptake mechanism is still to be clarified to have a better understanding of their action in the mediation of oligonucleotide transfection. In this study, the effect on early events (1 h treatment) in transfection by Pepfect 14, with or without oligonucleotide cargo on gene expression, on HeLa cells, have been investigated. The RNA expression was characterized by RNA sequencing. Overall design: The quality of purified total RNA was estimated by Agilent 2200 TapeStation analysis (Agilent Technologies, Santa Clara, USA). One µg of total RNA was used as an input to prepare next-generation sequencing libraries according to the Illumina TruSeq Stranded mRNA sample preparation protocol (Illumina, San Diego, USA). Final library mixtures were quantified by Qubit 2.0 Fluorometer (Life Technologies, Grand Island, USA) and validated with Agilent 2200 TapeStation analysis. Libraries were quantified by qPCR with Kapa Library Quantification Kit (Kapa Biosystems, Woburn, USA) to optimize cluster generation and sequenced on HiSeq2500 platform (Illumina, San Diego, USA) with 2 x 50 bp paired-end reads. Over 93.9% of the bases sequenced were above the quality of Q30. Demultiplexing was done with CASAVA 1.8.2. (Illumina, San Diego, USA) Allowing one mismatch in 6 bp index read. Initial data analysis was conducted by the RNA-Seq pipeline of Estonian Genome Centre, University of Tartu. Shortly, fastQ files were trimmed (removal of adapter sequences and bases below the quality Q20) with FASTX-Toolkit version 0.013 (http://hannonlab.cshl.edu/fastx_toolkit) and then aligned to the human reference genome (hg19/GRCh37) with Bowtie version 2.1.019 in combination with TopHat version 2.0.1320. Transcript quantification (measured as FPKM) was conducted with Cuffdiff program from Cufflinks version 2.2.121 with reference annotation Homo_sapiens.GRCh37.72.gtf (http://ftp.ensembl.org/pub/release-72/gtf/homo_sapiens) Cuffdiff analysis, which summarizes expression changes for all annotated gene variations, was filtered by lowest q-values (corrected p-values for multiple testing) from output file gene_exp.diff and the top list of differentially expressed genes were analyzed through the use of QIAGEN’s Ingenuity® Pathway Analysis (IPA®, QIAGEN Redwood City, www.qiagen.com/ingenuity).

Publication Title

Role of autophagy in cell-penetrating peptide transfection model.

Sample Metadata Fields

Cell line, Treatment, 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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