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accession-icon GSE36957
Leukocyte gene expression in depressed and non-depressed renal cell carcinoma patients
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Gene expression profiling was carried out on peripheral blood mononuclear cell mRNA samples collected from renal cell carcinoma patients. The primary research question is whether gene expression differs as a function of patient's level of depression as measured by CESD score > 16.

Publication Title

Depressive symptoms and cortisol rhythmicity predict survival in patients with renal cell carcinoma: role of inflammatory signaling.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP094627
Transcriptional changes in the primary somatosensory cortex upon sensory deprivation
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Experience-dependent plasticity (EDP) is essential for anatomical and functional maturation of sensory circuits during development and can be readily studied is the rodent barrel cortex. Using this model we aimed to uncover changes on the transcriptome level and applied RNA sequencing upon altered sensory experience in juvenile mice in a cortical column and layer specific manner. From column- and layer-specific barrel cortical tissue, high quality RNA was purified and sequenced. The current dataset entails an average of 50 million paired-end reads per sample, 75 base pairs in length. Overall design: Wild type mice were deprived of their C-row whiskers from P12 until P23-P24, after which acute brain slices were prepared and tissues were excised from L2/3 and L4 from specific barrel columns. RNA isolated from these tissue sections was then subjected to RNA-sequencing.

Publication Title

Transcriptional mapping of the primary somatosensory cortex upon sensory deprivation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE28998
Human skeletal muscle transcriptional response to exercise
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this investigation was to evaluate the effect of training on the global transcriptional response of skeletal muscle to an acute bout of resistance exercise.

Publication Title

Resistance exercise training influences skeletal muscle immune activation: a microarray analysis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon SRP014856
Synthetic cationic peptide IDR-1018 modulates human macrophage differentiation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Synthetic, innate defense regulators (IDR) peptides, designed based on natural host defenses peptides, have enhanced immunomodulatory activities and reduced toxicity leading to protection in infection and inflammation models that is dependent on macrophages/monocytes. Here we measured the effect of IDR-1018 on macrophage gene expression during differentiation. Differentiation in the presence of IDR-1018 induced a unique signature of immune responses suggesting that IDR-1018 drives macrophage differentiation towards an intermediate M1-M2 state, enhancing anti-inflammatory functions while maintaining certain pro-inflammatory activities important to the resolution of infection. Overall design: RNA-seq was performed using the Illumina Genome Analyzer IIx platform. Monocytes were isolated from 3 healthy donors, and left unstimulated or stimulated for 4 hours with 20 µg/ml IDR-1018. For library preparation, 500 ng of total RNA was processed according to the Illumina TruSeq RNA sample preparation guide (Illumina catalogue number FC-122-1002). Briefly, mRNA was purified using poly-dT beads, followed by synthesis of the first and second cDNA strands, end repair addition of an poly-A overhang, and ligation of adapters and unique barcodes, as per the manufacturer’s instructions. DNA enrichment was carried out via a 15-cycle PCR. Following quantification, 8 pM of dsDNA was used for cluster generation on a CBOT instrument (Illumina, San Diego, CA). RNA sequencing was done on a GAIIx instrument (Illumina), performed as a single read run with 51 amplification cycles. Data processing was carried out in house, using CASAVA to convert raw data and demultiplex to FASTQ sequence files. Reads were aligned to the reference genome using TOPHAT, and then mapped to genes using the Bioconductor package GenomeRanges.

Publication Title

Synthetic cationic peptide IDR-1018 modulates human macrophage differentiation.

Sample Metadata Fields

Specimen part, Disease, Treatment, Subject

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accession-icon GSE68450
Embryonic sensory thalamus nuclei-specific genes revealed by genetic labelling and FACS isolation
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To identify genes expressed in specific developing thalamic nuclei during embryonic stages, a genetic dual labelling strategy was established to mark and isolate the cells. Transcription profiles were determined for the principal sensory thalamic populations by genome-wide analysis.

Publication Title

Genetic Labeling of Nuclei-Specific Thalamocortical Neurons Reveals Putative Sensory-Modality Specific Genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE79683
Expression data from thalamic dLGN nucleus in control and Sema6A knock-out mice at P0
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Misguided visual thalamic axons leads to changes in gene expression in visual thalamic neurons.

Publication Title

Genetic Labeling of Nuclei-Specific Thalamocortical Neurons Reveals Putative Sensory-Modality Specific Genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE24235
Skeletal muscle gene expression in response to resistance exercise: sex specific regulation
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The molecular mechanisms underlying the sex differences in human muscle morphology and function remain to be elucidated. The purpose of the study was to detect the sex differences in the skeletal muscle transcriptome in both the resting state and following anabolic stimuli, resistance exericse.

Publication Title

Skeletal muscle gene expression in response to resistance exercise: sex specific regulation.

Sample Metadata Fields

Sex

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accession-icon GSE62252
Expression data from kidney of Grhl1wt and Grhl1 ko mice.
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The aim of our study was to investigate the functions of Grhl transcription factor in the kidney.

Publication Title

Consequences of the loss of the Grainyhead-like 1 gene for renal gene expression, regulation of blood pressure and heart rate in a mouse model.

Sample Metadata Fields

Specimen part

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accession-icon GSE38718
Sex and aging effect on skeletal muscle transcriptome in humans
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this investigation was to develop a global view of muscle transcriptional differences between older men and women and with aging for each sex.

Publication Title

Microarray analysis reveals novel features of the muscle aging process in men and women.

Sample Metadata Fields

Sex

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accession-icon GSE115660
RNA microarray studies of aspirin's effect on MnSOD-deficient mutant [EG110, (MT)] and wild-type [EG103, (WT)] Saccharomyces cerevisiae yeast cells
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Non-steroidal anti-inflammatory drugs, principally aspirin (acetylsalicylic acid, ASA), have anti-neoplastic properties, as shown by epidemiological studies on colorectal cancer and many other types of tumours. The chemopreventive and anti-proliferative properties of aspirin towards tumour cells have been shown to be due to the induction of programmed cell death such as apoptosis. Yeast cells are among the experimental models used extensively for the study of oxidative stress and apoptosis in living organisms because yeast, such as S. cerevisiae, retains many of the core eukaryotic cellular processes, including the hallmarks of eukaryotic apoptosis. An important contribution of our previous work has been the clarification of the critical defensive role of the antioxidant mitochondrial enzyme manganese superoxide dismutase (MnSOD) against apoptosis, confirmed to be the attenuation of aspirin-induced superoxide radical accumulation in the yeast mitochondria (Farrugia et al. (2013) FEMS Yeast Res 13, 755-768). To study the possible differential expression of gene transcripts in relation to the induction of apoptosis by aspirin, we used gene expression profiling by means of GeneChip Microarray Technology (Affymetrix). The yeast strains considered for this study included (1) the wild type strain S. cerevisiae EG103, which contains both MnSOD and cytosolic copper, zinc superoxide dismutase (CuZnSOD) and (2) the redox-compromised MnSOD-deficient S. cerevisiae EG110 strain. [This work was financed by the Malta Council for Science and Technology through the R&I Technology Development Programme (Project R&I-2015-001)].

Publication Title

Aspirin impairs acetyl-coenzyme A metabolism in redox-compromised yeast cells.

Sample Metadata Fields

No sample metadata fields

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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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