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accession-icon GSE10030
Tobramycin Treatment of Pseudomonas aeruginosa
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

In vitro analysis of tobramycin-treated Pseudomonas aeruginosa biofilms on cystic fibrosis-derived airway epithelial cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9989
Tobramycin Treatment of P. aeruginosa Biofilms Grown on CFBE41o- Cells
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

We grew Pseudomonas aeruginosa biofilms on CFBE41o- human airway cells in culture, and we treated these biofilms with tobramycin. Microarray analysis was performed to gain an understanding of the global transcriptional changes that occur during antibiotic treatment.

Publication Title

In vitro analysis of tobramycin-treated Pseudomonas aeruginosa biofilms on cystic fibrosis-derived airway epithelial cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53378
Adipose transcriptome and microRNA profiles after surgery-induced weight loss
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Multispecies miRNA-3 Array (mirna3), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Surgery-Induced Weight Loss Is Associated With the Downregulation of Genes Targeted by MicroRNAs in Adipose Tissue.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE53376
Adipose transcriptome and microRNA profiles after surgery-induced weight loss [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Affymetrix Multispecies miRNA-3 Array (mirna3)

Description

Molecular mechanisms associated with pathophysiological variations in adipose tissue (AT) are not fully recognized. The main aim of this study was to identify novel candidate genes and miRNAs that may contribute to the pathophysiology of hyperplastic AT. Therefore, wide gene and microRNA (miRNA) expression patterns were assessed in subcutaneous AT of 16 morbidly obese women before and after surgery-induced weight loss. Validation of microarray data was performed by quantitative real-time PCR both longitudinally (n=25 paired samples) and cross-sectionally (25 obese vs. 26 age-matched lean women). Analyses in macrophages and differentiated human adipocytes were also performed to try to comprehend the associations found in AT. 5,018 different probe sets identified significant variations in gene expression after treatment (adjusted p-value<0.05). A set of 16 miRNAs also showed significant modifications. Functional analysis revealed changes in genes and miRNAs associated with cell cycle, development and proliferation, lipid metabolism, and the inflammatory response. Canonical affected pathways included TREM1, PI3K, and EIF2 signaling, hepatic stellate cell activation, and mitochondrial function. Increased expression of SLC27A2, ELOVL6, FASN, GYS2, LGALS12, PKP2, ACLY, and miR-575, as well as decreased FOS, EGFL6, PRG4, AQP9, DUSP1, RGS1, EGR1, SPP1, LYZ, miR-130b, miR-221, and miR-155, were further validated. The clustering of similar expression patterns for gene products with related functions revealed molecular footprints, some of them described for the first time, which elucidate changes in biological processes after the surgery-induced weight loss.

Publication Title

Surgery-Induced Weight Loss Is Associated With the Downregulation of Genes Targeted by MicroRNAs in Adipose Tissue.

Sample Metadata Fields

Sex, Specimen part, Subject

View Samples
accession-icon GSE21611
Oscillating gene expression determines competence for periodic branching in the Arabidopsis root
  • organism-icon Arabidopsis thaliana
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The Oscillation Zone (OZ) of unsynchronized roots was disected and divided into an upper (OZ2) and lower (OZ1) half .

Publication Title

Oscillating gene expression determines competence for periodic Arabidopsis root branching.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE27625
Hepatic gene expression changes in aging and R--lipoic acid supplementation: Necroinflammatory phenotype, lipid synthesis regulation and circadian rhythms.
  • organism-icon Rattus norvegicus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

To determine the effects of age and lipoic acid supplementation on hepatic gene expression, we fed young (3 months) and old (24 months) male Fischer 344 rats a diet with or without 0.2% (w/w) R--lipoic acid (LA) for two weeks. Total RNA isolated from liver tissue was analyzed by Affymetrix microarray to examine changes in transcriptional profile. Results showed an increase in pro-inflammatory gene expression in the aging liver, with increased immune cell function and tissue remodeling genes, representing 45% of the age-related transcriptome changes. Increased inflammation was corroborated by increases in soluble ICAM1 levels with age. There were also observed age-related increases in transcription of genes related to lipid and cholesterol synthesis including Acetyl CoA Carboxylase (Acacb) and Fatty acid Synthase (Fasn). Supplementation of old animals with LA did not reverse this necro-inflammatory phenotype, yet limited age-associated hepatic dyslipidemia. Dietary LA further affected a small but concerted number of hepatic genes regardless of age. These included declines in lipid and bile synthesis genes. Decline in lipid synthesis genes was further corroborated by a decrease in Fasn and Acc protein levels. Intriguingly, LA also altered the expression of genes governing circadian rhythm, most notably Bmal1, Npas2, and Per2, which changed in a coordinated manner with respect to their rhythmic transcription. Thus, advanced age is associated with a necro-inflammatory phenotype and increased lipid synthesis, while chronic LA supplementation influences hepatic genes associated with energy metabolism and circadian rhythm regardless of age.

Publication Title

R-α-lipoic acid does not reverse hepatic inflammation of aging, but lowers lipid anabolism, while accentuating circadian rhythm transcript profiles.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE11951
Gene expression variation induced by loss of the CD146 mRNA in MDA-MB-231
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Metastasis is a complex process involving loss of adhesion, migration, invasion and proliferation of cancer cells. Cell adhesion molecules play a pivotal role in this phenomenon by regulating cell-cell and cell-matrix interactions. CD146 (MCAM) is associated with advanced tumor stage in melanoma, prostate and ovarian cancers.

Publication Title

CD146 expression is associated with a poor prognosis in human breast tumors and with enhanced motility in breast cancer cell lines.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE87384
Characterization of human Fcrl4-positive B cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

FCRL4 is an immunoregulatory receptor that belongs to the Fc receptor-like (FCRL) family. In healthy individuals, this protein is specifically expressed by memory B cells (MBCs) and is preferentially localized in subephitelial regions of lymphoid tissues. An expansion of FCRL4+ B cells has been shown in blood or other tissues in various infectious or autoimmune pathologies. In the present work, we generated and characterized in vitro FCRL4+ B cells from purified MBCs using T-dependent and/or T-independent stimulation. FCRL4+ B cells account for 17% of cells generated at day-4 of culture. Transcriptomic and phenotypic analysis of FCRL4+ cells show that they are closely related to FCRL4+ tonsillar MBCs. Interestingly, these cells highly express inhibitory receptors genes as described for exhausted FCRL4+ MBCs in the blood of HIV-viremic individuals. In agreement, in vitro generated FCRL4+ B cells show a significant underexpression of cell cycle genes with a two fold weaker number of cell division compared to FCRL4- cells. Finally, resulting from their reduced proliferation and differentiation potential, we show that FCRL4+ cells are not prone to generate plasma cells, contrary to FCRL4- cells. Given the difficulty to access to in vivo FCRL4+ cells, our in vitro model could be of major interest to study the biology of normal and pathological FCRL4+ cells.

Publication Title

Characterization of human FCRL4-positive B cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE9954
Large-scale analysis of the mouse transcriptome
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays to compare gene expression across different murine tissues.

Publication Title

Using ribosomal protein genes as reference: a tale of caution.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE83503
Key transcription factors altered in multiple myeloma patients revealed by logic programming approach combining gene expression pro ling and regulatory networks
  • organism-icon Homo sapiens
  • sample-icon 602 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Innovative approaches combining regulatory networks and genomic data are needed to extract pertinent biological informations to a better understanding of complex disease such as cancer and improve identi cation of entities leading to potential new therapeutic avenues. In this study, we confronted an automatic generated regulatory network with gene expression pro les (GEP) from a large cohort of patients with multiple myeloma (MM) and normal individuals with a causality reasonning method based of graph coloring to identify keynodes. Due to this causality reasoning, it is possible to infer proteins state from these GEP. Also, our method is able to simulate the impact of the perturbation of a node in this regulatory network to identify therapeutic targets. This method allowed us to nd that JUN/FOS and FOXM1, known in MM, and their inhibition as speci c to large group of patients with MM. Moreover, we associated the inhibition of FOXM1 activity with good prognosis, suggesting the inhibition of FOXM1 activity could be a survival marker. Finally, if JUN/FOS activation seems to be a way to strongly perturb the regulatory network in view of GEP, our result suggests the activation of FOXM1 could be interesting way to perturb some sub-group of profiles.

Publication Title

Logic programming reveals alteration of key transcription factors in multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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