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accession-icon GSE7904
Expression data from human breast tissue
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

bulk breast tumor RNA from patient

Publication Title

X chromosomal abnormalities in basal-like human breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3744
Human breast tumor expression
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression for 47 human breast tumor cases;

Publication Title

X chromosomal abnormalities in basal-like human breast cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE105288
Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Renal cell carcinoma (RCC) is among the ten most common malignancies. By far, the most common histology is clear cell (ccRCC). The Cancer Genome Atlas and other large scale sequencing studies of ccRCC have been integral to the current understanding of molecular events underlying RCC and its biology. However, these data sets have focused on primary RCC which often demonstrates indolent behavior. In contrast, metastatic disease is the major cause of mortality associated with ccRCC. However, data sets examining metastatic tumor are sparse. We therefore undertook an integrative analysis of gene expression and DNA methylome profiling of metastatic ccRCC in addition to primary RCC and normal kidney. Integrative analysis of the methylome and transcriptome identified over 30 RCC specific genes whose mRNA expression inversely correlated with promoter methylation including several known targets of hypoxia inducible factors (HIFs). Notably, genes encoding several metabolism-related proteins were identified as differentially regulated via methylation. Collectively, our data provide novel insight into biology of aggressive RCC. Furthermore, they demonstrate a clear role for epigenetics in the promotion of HIF signaling and invasive phenotypes in renal cancer.

Publication Title

Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE105261
Transcriptome analysis of normal kidney, primary and metastasis ccRCC
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Understanding gene expression changes during transformation from normal tissue to primary RCC and then to metastasis is important. Such analysis is pivotal for undertanding biology in renal cancer and also to unearth novel gene targets.

Publication Title

Integrative Epigenetic and Gene Expression Analysis of Renal Tumor Progression to Metastasis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE32920
Phevalin (aureusimine B) production by Staphylococcus aureus biofilm and impacts on human keratinocyte gene expression
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Staphylococcus aureus produces the cyclic dipeptides tyrvalin and phevalin (aureusimine A and B, respectively).

Publication Title

Phevalin (aureusimine B) production by Staphylococcus aureus biofilm and impacts on human keratinocyte gene expression.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE65089
Expression data from Smarcd1 knockdown R1 embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to identify the gene expression changes after Smarcd1 knockdown in ESCs and 4 day RA differentiated ESCs

Publication Title

Differential association of chromatin proteins identifies BAF60a/SMARCD1 as a regulator of embryonic stem cell differentiation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE98588
Genetically-defined Diffuse Large B-cell Lymphoma Subsets Arise by Distinct Pathogenetic Mechanisms and Predicts Outcome
  • organism-icon Homo sapiens
  • sample-icon 137 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We obtained gene experssion profiles of 52 newly diagnosed diffuse large B-cell lymphoma (DLBCL).

Publication Title

Molecular subtypes of diffuse large B cell lymphoma are associated with distinct pathogenic mechanisms and outcomes.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE58644
The prognostic ease and difficulty of invasive breast carcinoma
  • organism-icon Homo sapiens
  • sample-icon 319 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Breast carcinoma (BC) have been extensively profiled by high-throughput technologies for over a decade, and broadly speaking, these studies can be grouped into those that seek to identify patient subtypes (studies of heterogeneity) or those that seek to identify gene signatures with prognostic or predictive capacity. The shear number of reported signatures has led to speculation that everything is prognostic in BC. Here we show that this ubiquity is an apparition caused by a poor understanding of the inter- relatedness between subtype and the molecular determinants of prognosis. Our approach constructively shows how to avoid confounding due to a patient's subtype, clinicopathological or treatment profile. The approach identifies patients who are predicted to have good outcome at time of diagnosis by all available clinical and molecular markers, but who experience a distant metastasis within five years. These inherently difficult patients (~7% of BC) are prioritized for investigations of intra-tumoral heterogeneity.

Publication Title

The prognostic ease and difficulty of invasive breast carcinoma.

Sample Metadata Fields

Age, Disease stage, Time

View Samples
accession-icon GSE27541
Transcriptional responses to glucose in Saccharomyces cerevisiae strains lacking a functional protein kinase A
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The pattern of gene transcription in Saccharomyces cerevisiae is strongly affected by the presence of glucose. An increased activity of protein kinase A (PKA), triggered by a rise in the intracellular concentration of cAMP, can account for many of the effects of glucose on transcription. To investigate the requirement of PKA for glucose control of gene expression, we have analyzed global transcription in strains devoid of PKA activity. In S. cerevisiae three genes, TPK1, TPK2, TPK3, encode catalytic subunits of PKA and the triple mutant tpk1 tpk2 tpk3 is unviable. We have worked, therefore, with two strains, tpk1 tpk2 tpk3 yak1 and tpk1 tpk2 tpk3 msn2 msn4, that bear suppressor mutations,. We have identified different classes of genes that can be induced, or repressed, by glucose in the absence of PKA. Among these genes, some are also controlled by a redundant signalling pathway involving PKA activation, while others do not respond to an increase in cAMP concentration. On the other hand, among genes which do not respond to glucose in the absence of PKA, some show a full response to increased cAMP levels, even in the absence of glucose, while others appear to require the cooperation of different signalling pathways.

Publication Title

Transcriptional responses to glucose in Saccharomyces cerevisiae strains lacking a functional protein kinase A.

Sample Metadata Fields

Treatment, Time

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accession-icon GSE47551
mRNA expression data from either wild-type mice or Scnn1b-transgenic mice at post-natal days 0, 3, 10, and 42
  • organism-icon Mus musculus
  • sample-icon 83 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression in whole lung and pulmonary macrophages reflects the dynamic pathology associated with airway surface dehydration.

Sample Metadata Fields

No sample metadata fields

View Samples

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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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