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accession-icon GSE8644
Differentially expressed genes among motor and prefrontal areas of macaque monkey neocortex
  • organism-icon Macaca mulatta
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

Motor-related areas of neocortex are highly differentiated into several subareas from both functional and cytoarchitectural aspects in the higher primates. To assess the molecular basis of such areal specialization, we investigated the gene expression profiles of primary motor area (M1), premotor area (dorsal and ventral) (PMd and PMv) and prefrontal area (A46) in the rhesus monkey by DNA microarray method. We found that 476 genes were differentially expressed among those areas. More than half of those genes were most abundantly expressed in M1, and most genes were complementarily expressed between M1 and A46. The expression profiles of PMd and PMv were similar to each other compared to those of M1 and A46. The data will give us a fundamental basis for further analysis of structure-function relationship of the primate brain.

Publication Title

Differentially expressed genes among motor and prefrontal areas of macaque neocortex.

Sample Metadata Fields

Sex

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accession-icon GSE11452
Saccharomyces cerevisiae chemostat steady state microarray compendium
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 161 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Background

Publication Title

Combinatorial effects of environmental parameters on transcriptional regulation in Saccharomyces cerevisiae: a quantitative analysis of a compendium of chemostat-based transcriptome data.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE79434
The impact of dietary fatty acids composition on the transcriptomes of six tissues reveals specific regulation of immune related genes
  • organism-icon Mus musculus
  • sample-icon 73 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dietary polyunsaturated fatty acids (PUFA) are suggested to modulate immune function, but the effects of dietary fatty acids composition on gene expression patterns in immune organs have not been fully characterized. In the current study we investigated how dietary fatty acids composition affects the total transcriptome profile, and especially, immune related genes, in bone marrow cells (BMC) and spleen (SPL). Four tissues with metabolic function, skeletal muscle (SKM), white adipose tissue (WAT), brown adipose tissue (BAT), and liver (LIV), were investigated as a comparison. Following 8 weeks on low fat diet (LFD), high fat diet (HFD) rich in saturated fatty acids (HFD-S), or HFD rich in PUFA (HFD-P), tissue transcriptomics were analyzed by microarray and metabolic health assessed by fasting blood glucose level, HOMA-IR index, oral glucose tolerance test as well as quantification of crown-like structures in WAT. Interestingly, SKM and BMC were relatively inert to the diets, whereas the two adipose tissues (WAT and BAT) were mainly affected by HFD per se (both HFD-S and HFD-P). In particular, WAT gene expression was driven closer to that of the immune organs SPL and BMC by HFDs. Remarkably, the spleen, showed a major response to HFD-P, but not to HFD-S, whereas the LIV exhibited different responses to both of the HFDs. Further, HFD-P corrected the metabolic phenotype induced by HFD-S. Hence, the quantity and composition of dietary fatty acids affected the transcriptome in a distinct manner. Especially, PUFA prompted a specific regulation of immune related genes in the spleen. Thus, PUFA can regulate immune function by influencing gene expression.

Publication Title

Six Tissue Transcriptomics Reveals Specific Immune Suppression in Spleen by Dietary Polyunsaturated Fatty Acids.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE22541
Expression data from pulmonary metastases and primary tumors of clear-cell renal cell carcinoma (ccRCC) with different disease-free survivals
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. This comprises the extremely varying dormancy periods of tumor cells in the secondary organ after metastatic spread, represented by the disease-free survival (DFS) of the patients, or differing numbers of metastases in different patients. Knowing the molecular fundamentals of these phenomena would support the individual prediction of patients outcome and facilitate the decision for an appropriate monitoring and therapy regime.

Publication Title

CD31, EDNRB and TSPAN7 are promising prognostic markers in clear-cell renal cell carcinoma revealed by genome-wide expression analyses of primary tumors and metastases.

Sample Metadata Fields

Sex, Specimen part, Disease stage

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accession-icon GSE5509
Expression data from Rat liver 48 hours after treated with different toxic compounds.
  • organism-icon Rattus norvegicus
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Rat has been treated with different compounds with the purpose of investigating toxicological mechanisms. But toxic and non-toxic compounds has been administered. 3 toxic (ANIT, DMN, NMF) 3 non-tox (Caerulein, dinitrophenol(DNP), Rosiglitazone) in 5-plicates (30 arrays in all) and 9 untreated (control), 39 samples in all.

Publication Title

Integration of clinical chemistry, expression, and metabolite data leads to better toxicological class separation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36298
Integrated analysis, transcriptome-lipidome, reveals the effects of INO-level (INO2 and INO4) on lipid metabolism in yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Characterize the transcriptional response to INO2 and INO4 expression level (INO-level) and efficient factor

Publication Title

Integrated analysis, transcriptome-lipidome, reveals the effects of INO-level (INO2 and INO4) on lipid metabolism in yeast.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4807
Carbon-limited anaerobic/aerobic growth of S.cerevisiae-New set
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Addition of 3 new arrays made from carbon limited chemostat of CENPK113-7D and 3 new arrays made from aerobic carbon limited chemostat of CENPK113-7D Complmentary data to the data of the serie GSE1723.

Publication Title

Exploiting combinatorial cultivation conditions to infer transcriptional regulation.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-2623
Transcription profiling of human cell lines K562, Me45 and HCT116 with or without p53 knock-out to study the effect of ionizing radiation
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Genome U133A Array (hgu133a)

Description

The objective of the experiment was to compare changes in the transcriptome induced by direct X-irradiation of cells, using the human K562 erythroleukemic, Me45 melanoma and HCT116 colon cancer cell lines. The transcript levels of K542 and Me45 RNA samples were measured using Affymetrix HG-U133A microarrays and for HCT116 with HGU 133A 2.0 in time points 1, 12, 24 h after irradiation and compared to the levels of RNA from control cells. Experiments were repeated twice for Me45 and K562 cells.

Publication Title

No associated publication

Sample Metadata Fields

Disease, Disease stage, Cell line, Time

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accession-icon GSE9644
Glucose Pulse to sfp1delta continuous cultures
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The Saccharomyces cerevisiae SFP1 is required for proper regulation of ribosome biogenesis and cell size in response to nutrients. A mutant deleted for SFP1 shows specific traits among which a slow growth phenotype, which is particularly evident during growth on glucose. To assess the effects of nutrients on the activity of Sfp1 independent by growth rate related feedback we grew an sfp1 mutant and its isogenic reference strain in chemostat cultures, at the same specific growth rate, under glucose/ethanol-limitation. Our data show that Sfp1 is involved in the modulation of cell size and RiBi gene expression and that these two functions are differently influenced by nutrients.

Publication Title

Saccharomyces cerevisiae SFP1: at the crossroads of central metabolism and ribosome biogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65370
Eicosapentaenoic and docosahexaenoic acid-enriched high fat diet delays the development of fatty liver in mice.
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To investigate the effects of quality of fat in a high fat diet (HFD) over time on hepatic lipid storage and transcriptome in mice.

Publication Title

Eicosapentaenoic and docosahexaenoic acid-enriched high fat diet delays the development of fatty liver in mice.

Sample Metadata Fields

Sex, Specimen part, Time

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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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