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accession-icon GSE4025
Gene Expression Preferentially Regulated by Tamoxifen in Breast Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The beneficial effect of the selective

Publication Title

Gene expression preferentially regulated by tamoxifen in breast cancer cells and correlations with clinical outcome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3494
An expression signature for p53 in breast cancer predicts mutation status, transcriptional effects, and patient survival
  • organism-icon Homo sapiens
  • sample-icon 501 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age.

Publication Title

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE4922
Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer
  • organism-icon Homo sapiens
  • sample-icon 578 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Histological grading of breast cancer defines morphological subtypes informative of metastatic potential, although not without considerable inter-observer disagreement and clinical heterogeneity particularly among the moderately differentiated grade II (G2) tumors. We posited that a gene expression signature capable of discerning tumors of grade I (G1) and grade III (G3) histology might provide a more objective measure of grade with prognostic benefit for patients with moderately differentiated disease. To this end, we studied the expression profiles of 347 primary invasive breast tumors analyzed on Affymetrix microarrays. Using class prediction algorithms, we identified 264 robust grade-associated markers, six of which could accurately classify G1 and G3 tumors, and separate G2 tumors into two highly discriminant classes (termed G2a and G2b genetic grades) with patient survival outcomes highly similar to those with G1 and G3 histology, respectively. Statistical analysis of conventional clinical variables further distinguished G2a and G2b subtypes from each other, but also from histologic G1 and G3 tumors. In multivariate analyses, genetic grade was consistently found to be an independent prognostic indicator of disease recurrence comparable to that of lymph node status and tumor size. When incorporated into the Nottingham Prognostic Index, genetic grade enhanced detection of patients with less harmful tumors, likely to benefit little from adjuvant therapy. Our findings show that a genetic grade signature can improve prognosis and therapeutic planning for breast cancer patients, and support the view that low and high grade disease, as defined genetically, reflect independent pathobiological entities rather than a continuum of cancer progression. Three separate breast cancer cohorts were analyzed: 1) Uppsala (n=249), 2) Stockholm (n=58), 3) Singapore (n=40). The Uppsala and Singapore data can be accessed here. The Stockholm cohort data can be accessed at GEO Series GSE1456.

Publication Title

Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer.

Sample Metadata Fields

Age, Disease stage

View Samples
accession-icon GSE68000
Transcriptome of human liver cells and culture-activated hepatic stellate cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The molecular determinants of a healthy human liver cell phenotype remain largely uncharacterized. In addition, the gene expression changes associated with activation of primary human hepatic stellate cells, a key event during fibrogenesis, remain poorly characterized. Here, we provide the transriptomic profile underpinning the healthy phenotype of human hepatocytes, liver sinusoidal endothelial cells (LSECs) and quiescent hepatic stellate cells (qHSCs) as well as activated HSCs (aHSCs)

Publication Title

Genome-wide analysis of DNA methylation and gene expression patterns in purified, uncultured human liver cells and activated hepatic stellate cells.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon SRP053190
Whole cell mRNA expression profiling in control and complex I deficient patient fibroblasts incubated with DMSO, AICAR, chloramphenicol, and resveratrol
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background: Transcription control of mitochondrial metabolism is essential for cellular function. A better understanding of this process will aid the elucidation of mitochondrial disorders, in particular of the many genetically unsolved cases of oxidative phosphorylation (OXPHOS) deficiency. Yet, to date only few studies have investigated nuclear gene regulation in the context of OXPHOS deficiency. In this study, we combined RNA sequencing of human complex I-deficient patient cells across 32 conditions of perturbed mitochondrial metabolism, with a comprehensive analysis of gene expression patterns, co-expression calculations and transcription factor binding sites. Results: Our analysis shows that OXPHOS genes have a significantly higher co-expression with each other than with other genes, including mitochondrial genes. We found no evidence for complex-specific mRNA expression regulation in the tested cell types and conditions: subunits of different OXPHOS complexes are similarly (co-)expressed and regulated by a common set of transcription factors. However, we did observe significant differences between the expression of OXPHOS complex subunits compared to assembly factors, suggesting divergent transcription programs. Furthermore, complex I co-expression calculations identified 684 genes with a likely role in OXPHOS biogenesis and function. Analysis of evolutionarily conserved transcription factor binding sites in the promoters of these genes revealed almost all known OXPHOS regulators (including GABP, NRF1/2, SP1, YY1, E-box factors) and a set of six yet uncharacterized candidate transcription factors (ELK1, KLF7, SP4, EHF, ZNF143, and EL2). Conclusions: OXPHOS genes share an expression program distinct from other mitochondrial genes, indicative of targeted regulation of this mitochondrial sub-process. Within the subset of OXPHOS genes we established a difference in expression between subunits and assembly factors. Most transcription regulators of genes that co-express with complex I are well-established factors for OXPHOS biogenesis. For the remaining six factors we here suggest for the first time a link with transcription regulation in OXPHOS deficiency. Overall design: RNA-SEQ of whole cell RNA in 2 control and 2 complex I deficient patient fibroblast cell lines treated with 4 compounds in duplicate, resulting in a total of 2x2x4x2=32 samples

Publication Title

Transcriptome analysis of complex I-deficient patients reveals distinct expression programs for subunits and assembly factors of the oxidative phosphorylation system.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE1456
Gene expression of breast cancer tissue in a large population-based cohort of Swedish patients
  • organism-icon Homo sapiens
  • sample-icon 316 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Tissue material was collected from all breast cancer patients receiving surgery at Karolinska Hospital from 1994-1996. Material was frozen immediatley on dry ice or in liquid nitrogen and stored in -70C freezers. This series contains expression data for n=159 tumors from which RNA could be collected in sufficient amounts and quality for analysis.

Publication Title

Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP159156
Differential gene expression analysis in BRD4-PROTAC treated diffuse large B-cell lymphoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We identified differential gene expression after treatment with BRD4-PROTAC ARV771 in two ABC-like diffuse large B-cella lymphoma cell lines. We have identified cluster of gene expression regulated after BRD4 inhibition which are criticaly important for DLBCL malignancy. Overall design: Two ABC-DLBCL cell lines were used to identify the changes in gene expression profile after BRD4-PROTAC (ARV771) treatment.

Publication Title

Targetable genetic alterations of <i>TCF4</i> (<i>E2-2</i>) drive immunoglobulin expression in diffuse large B cell lymphoma.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE2990
Gene Expression Profiling in Breast Cancer: Understanding the Molecular Basis of Histologic Grade To Improve Prognosis
  • organism-icon Homo sapiens
  • sample-icon 185 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Histologic grade in breast cancer provides clinically important prognostic information. However, 30%-60% of tumors are classified as histologic grade 2. This grade is associated with an intermediate risk of recurrence and is thus not informative for clinical decision making. We examined whether histologic grade was associated with gene expression profi les of breast cancers and whether such profi les could be used to improve histologic grading.

Publication Title

Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE60148
Role of milk fat globule membrane (MFGM) in modulating gene expression in humans
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

The aim of this study was to investigate if milk fat globule membrane (MFGM) enclosing the dairy fat influence peripheral blood mononuclear cells (PBMC) gene expression. This study was a 8-week single-blind, randomized, controlled isocaloric trial with two parallel groups including overweight (mean BMI: 28) adult women (n=30). All subjects consumed 40 g dairy fat per day either as cream (MFGM diet) or as butter oil (control diet).

Publication Title

Potential role of milk fat globule membrane in modulating plasma lipoproteins, gene expression, and cholesterol metabolism in humans: a randomized study.

Sample Metadata Fields

Age, Specimen part, Time

View Samples
accession-icon GSE71034
Gene expression analysis in Fmr1KO mice identifies an immunological signature in brain tissue and mGluR5-related signaling in primary neuronal cultures.
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Transcriptome profile of whole tissue and cultured neuronal cells from the hippocampus and cortex from pooled littermate embryos (at 17-18 days post conception) of 2 mouse genotypes C57BL/6 congenic WT and Fmr1 KO.

Publication Title

Gene expression analysis in Fmr1KO mice identifies an immunological signature in brain tissue and mGluR5-related signaling in primary neuronal cultures.

Sample Metadata Fields

Specimen part

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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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