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accession-icon GSE41223
LXR activation induces insulin resistance in primary human adipocytes
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The effects of LXR stimulation by GW3965 treatment on global mRNA and miRNA expression in primary human in vitro differentiated adipocytes was investigated using microarray profiling.

Publication Title

LXR is a negative regulator of glucose uptake in human adipocytes.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE54890
Early B-cell Factor 1 Regulates Adipocyte Morphology and Lipolysis in White Adipose Tissue
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Early B cell factor 1 regulates adipocyte morphology and lipolysis in white adipose tissue.

Sample Metadata Fields

Specimen part

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accession-icon GSE42680
Early B-cell Factor 1 Regulates Adipocyte Morphology and Lipolysis in White Adipose Tissue [expression profiling]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st), Illumina HiSeq 2000

Description

To investgate the role of EBF1 in human adipocyte, we performed global expression profiling in human adipocytes transfected with siRNA targeting EBF1.

Publication Title

Early B cell factor 1 regulates adipocyte morphology and lipolysis in white adipose tissue.

Sample Metadata Fields

Specimen part

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accession-icon GSE25402
Adipose Tissue MicroRNAs as Regulators of CCL2 Production in Human Obesity
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Adipose tissue microRNAs as regulators of CCL2 production in human obesity.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE25401
Adipose Tissue MicroRNAs as Regulators of CCL2 Production in Human Obesity [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used an unbiased systems biology approach to study the regulation of gene expression in human adipose tissue focusing on inflammation. We show that microRNAs play a major role as regulators of CCL2 production in obesity.

Publication Title

Adipose tissue microRNAs as regulators of CCL2 production in human obesity.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE25910
Adipose Tissue MicroRNAs as Regulators of CCL2 Production in Human Obesity (differentiation data)
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used an unbiased systems biology approach to study the regulation of gene expression in human adipose tissue focusing on inflammation. We show that microRNAs play a major role as regulators of CCL2 production in obesity.

Publication Title

Adipose tissue microRNAs as regulators of CCL2 production in human obesity.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE30521
Expression data from prostate cancer samples
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon (ffymetrixhumanexon1.0starray[cdf:huex10stv2,corer3,a20071112,ep)

Description

Although many genes have been proposed to be involved in prostate carcinogenesis, no single gene or gene profile has shown to have prognostic value. The main challenge for clinical management is to distinguish slowly growing tumors from those that will relapse. In this study, we compared expression profiles of 18 prostate samples (7 with Gleason 6, 8 with Gleason 7 and 3 with Gleason score equal or higher than 8) and 5 non-neoplastic prostate samples, using the GeneChip Human Exon Array 1.0 ST of Affymetrix. Microarray analysis revealed 99 genes showing statistically significant differences among tumors with Gleason score 6, 7 and 8. In addition, mRNA expression of 29 selected genes was analyzed by qRT-PCR with microfluidic cards in an extended series of 30 prostate tumors. From these, 29 were selected to be validated and the differential expression of 18 of them (62%) was independently confirmed by quantitative real-time RT-PCR (14 upregulated and 4 downregulated in higher Gleason scores) in the extended series. This list was further narrowed down to 12 genes that were differentially expressed in tumors with Gleason score of 6-7 vs 8. Finally, the protein levels of two genes from the 12-gene signature (SEC14L1 and TCEB1) were additionally validated by immunohistochemistry. Strong protein levels of both genes were correlated with Gleason score, stage, and PSA progression.

Publication Title

A 12-gene expression signature is associated with aggressive histological in prostate cancer: SEC14L1 and TCEB1 genes are potential markers of progression.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE28844
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic response
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE28826
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic bad response (Miller & Payne grades 1 and 2)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (Affymetrixs HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system.

Publication Title

Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE28583
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic mid-response (Miller & Payne grade 3)
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (Affymetrixs HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system.

Publication Title

Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
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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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Developed by the Childhood Cancer Data Lab

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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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