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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
accession-icon GSE28694
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic good response (Miller & Payne grades 4 and 5)
  • 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 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 SRP056712
Transcription factor Bcl11b controls identity and function of mature innate lymphoid cells type II
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Type-2 innate lymphoid cells (ILC2s) promote anti-helminth responses and contribute to allergies. Though Bcl11b has been previously considered a T-lineage identity transcription factor (TF) that restrains the innate-cell genetic programs, we report here that Bcl11b is highly expressed in mature ILC2s and acts upstream of the key ILC2 TFs Gfi1, Gata-3, and of IL-33 receptor IL1rl1 (T1ST2). Additionally, Bcl11b-/- ILC2s de-repressed Ror?t, Ahr and IL-23 receptor, normally expressed in type-3 ILCs (ILC3s). Consequently, Bcl11b-/- ILC2s lost ILC2 functions and gained ILC3 functions, expanding in response to the protease allergen papain, however producing IL-17 and IL-22, and not IL-5 and IL-13, causing lung neutrophilia rather than eosinophilia, and diminished mucus production. Our results broaden Bcl11b's role from a T-cell only TF, and establishes that Bcl11b sustains mature ILC2 genetic and functional programs and lineage fidelity through positive regulation of essential ILC2 TFs and negative regulation of pivotal ILC3 TFs. Overall design: RNA-seq analysis on sorted ILC2s from the mLNs of Bcl11bF/F Cre-ERT2 and wildtype mice at steady state following tamoxifen mediated deletion of Bcl11b

Publication Title

Transcription Factor Bcl11b Controls Identity and Function of Mature Type 2 Innate Lymphoid Cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP033335
Genome-wide expression profiling of B Lymphocytes reveals IL4R increase in allergic asthma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this study we present the first genome-wide expression profiling of peripheral B cells by massive parallel RNA sequencing in patients with allergic asthma validating the discovery potential of this approach in allergy. Overall design: RNA-seq was used to asses expression differences in B CD19 Lymphocytes from house dust mite allergic patients and healthy controls.

Publication Title

Genome-wide expression profiling of B lymphocytes reveals IL4R increase in allergic asthma.

Sample Metadata Fields

No sample metadata fields

View Samples
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 E-MEXP-480
Transcription profiling of D34+ BCR-ABL+ cells of CML patients in chronic phase or blast crisis to identify differentially expressed stage-specific genes
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Profiling CD34+ BCR-ABL+ cells of CML patients in chronic phase or blast crisis to identify differentially expressed stage-specific genes.

Publication Title

Gene expression profiling of CD34+ cells identifies a molecular signature of chronic myeloid leukemia blast crisis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE137176
Time-driven molding of the epidermal stem cell transcriptome
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Epidermal stem cells ensure proper faring of skin homeostatic processes under both physiological and challenging conditions. Currently, the molecular events underpinning ageing within the epidermal stem cell niche are poorly understood.

Publication Title

In Silico Analysis of the Age-Dependent Evolution of the Transcriptome of Mouse Skin Stem Cells.

Sample Metadata Fields

Age, Specimen part

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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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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