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accession-icon GSE23640
Gene-expression profile of breast cancer cell lines and sorted breast cancer epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Most of the breast cancer samples used in clinical research contain multiple cell types other than epithelial cells alone. The non-epithelial cell types have have a substantial effect on the gene expression-profile, which is used to define molecular subtypes of the tumours. The purpose of this data set is to retrieve gene-expression profile within tumour epithelial cells. We collected 9 breast cancer epithelial cell lines and 5 tumour sampes from which epithelial cells were sorted and enriched using BerEp4 antibody coated beads. We profiled the mRNA expression level of these samples and classified probe sets into epithelial genes which were those genes with present calls in at least 50% of the samples. Then we derived an 23-gene signature based on only the epithelial genes to stratify breast cancer.

Publication Title

Minimising immunohistochemical false negative ER classification using a complementary 23 gene expression signature of ER status.

Sample Metadata Fields

Specimen part

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accession-icon E-MTAB-78
Transcription profiling of yeast grown in a three-factor design to study the relationship between specific growth rate and genome-wide gene expression
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

A three-factor design was applied to study the relationship between specific growth rate and genome-wide gene expression in 36 steady-state chemostat cultures of Saccharomyces cerevisiae.

Publication Title

Transcription factor control of growth rate dependent genes in Saccharomyces cerevisiae: a three factor design.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE66624
Expression of V3 Versican by Arterial Smooth Muscle Cells Promotes Differentiated and Anti-inflammatory Phenotypes
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Arterial smooth muscle cells (ASMCs) undergo phenotypic changes during development and pathological processes in vivo and during cell culture in vitro. Our previous studies demonstrated that retrovirally-mediated expression of the versican V3 splice variant (V3) that lacks glycosaminoglycan chains by ASMCs retards cell proliferation and migration in vitro and reduces neointimal thickening, macrophage and lipid accumulation in animal models of vascular injury and atherosclerosis. However, the molecular pathways induced by V3 expression that are responsible for these changes are not yet clear. In the present study, we employed a microarray approach to examine how expression of V3 induced changes in gene expression and the molecular pathways in ASMCs. We found that forced expression of V3 by ASMCs affected expression of 521 genes by more than 1.5 fold. Gene ontology (GO) analysis shows that components of extracellular matrix were the most significantly affected by V3 expression, indicating that V3 expression elicits profound remodeling of extracellular matrix. In addition, genes regulating the formation of the cytoskeleton which also serve as markers of contractile smooth muscle cells were significantly upregulated. On the other hand, components of the complement system, chemokines, chemokine receptors, and transcription factors crucial for regulating inflammatory processes were among the genes most downregulated. Consistently, we found that the level of myocardin, a key transcription factor promoting contractile ASMC phenotype, was greatly increased while proinflammatory transcription factors NFkappaB1 and C/EBP were significantly attenuated in V3-expressing SMCs. Such results indicate that V3 expression reprograms ASMC into differentiated and anti-inflammatory phenotypes. Overall, these findings demonstrate that expression of V3 reprograms ASMCs promoting anti-inflammatory and differentiated smooth muscle cell phenotypes potentially by altering cell-ECM interaction and focal adhesion signaling pathways.

Publication Title

Expression of V3 Versican by Rat Arterial Smooth Muscle Cells Promotes Differentiated and Anti-inflammatory Phenotypes.

Sample Metadata Fields

Specimen part

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accession-icon GSE39733
Microarray analysis of gene expression changes in human A549 lung cancer cells upon siRNA knockdown of FAM60A and SDS3
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Sin3 histone deacetylase (HDAC) complex is a 1.2 MDa chromatin modifying complex that can repress transcription by binding to gene promoters and deacetylating histones. The Sin3/HDAC complex can affect cell cycle progression through multiple mechanisms and is among the targets of anticancer drugs, called HDAC inhibitors. We describe the identification of a new subunit of the Sin3 complex named family with sequence similarity 60 member A (FAM60A). We show that FAM60A/Sin3 complexes normally suppress the epithelial-to-mesenchymal transition (EMT) and cell migration. This occurs through transcriptional repression of genes that encode components of the TGF-beta signaling pathway. This work reveals that FAM60A and the Sin3 complex are upstream repressors of TGF-beta signaling, EMT and cell migration and extends the known biological roles of the Sin3 complex. This experiment investigates the role of FAM60A in gene expression by comparing A549 lung cancer cells treated with or without siRNA against FAM60A.

Publication Title

Human family with sequence similarity 60 member A (FAM60A) protein: a new subunit of the Sin3 deacetylase complex.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE41185
Potentiation of regulatory T cell stability and function via a neuropilin-1:semaphorin-4a axis
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Regulatory T cells (Treg) represent a critical immunoregulatory component of the immune system. The signals that maintain Treg stability and potentiate their function remain obscure. Here we show that the immune cell surface ligand semaphorin-4a (Sema4a)

Publication Title

Stability and function of regulatory T cells is maintained by a neuropilin-1-semaphorin-4a axis.

Sample Metadata Fields

Treatment

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accession-icon GSE81119
Major differences between human atopic dermatitis and murine models as determined by global genomic profiling
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

In this study we applied genomic profiling to evaluate the transcriptomic differences between murine models ot atopic dermatitis.

Publication Title

Major differences between human atopic dermatitis and murine models, as determined by using global transcriptomic profiling.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon SRP104179
Interferon-? drives T reg fragility to promote anti-tumor immunity
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Regulatory T cells (Tregs) are a barrier to effective anti-tumor immunity. Neuropilin-1 (Nrp1) is required to maintain intratumoral Treg stability and function but is dispensable for peripheral immune homeostasis, Treg-restricted Nrp1 deletion in mice results in profound tumor resistant due to Treg functional fragility. Drivers of Treg fragility, the mechanistic basis of Nrp1 dependency, and the relevance of these processes for human cancer and immunotherapy remain unknown. NRP1 expression on human Tregs in melanoma and HNSCC was highly heterogeneous and correlated with prognosis. Using a mouse model of melanoma in which mutant Nrp1-deficient (Nrp1–/–) and wild type (WT) Tregs could be assessed in a competitive environment, we found that a high proportion of intratumoral Nrp1–/– Tregs produce interferon-? (IFN?), which in turn drove the fragility of surrounding WT Tregs, boosting anti-tumor immunity and facilitating tumor clearance. We also show that IFN?-induced Treg fragility is required for an effective response to PD1 immunotherapy, suggesting that cancer therapies promoting Treg fragility may be efficacious . Overall design: Tregs from B16 tumors and non-draining lymph nodes NDLN from WT, Nrp-1 deficient homozygous and heterozygous mice

Publication Title

Interferon-γ Drives T<sub>reg</sub> Fragility to Promote Anti-tumor Immunity.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP187323
Adaptive plasticity of IL10 + and IL35 + regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Regulatory T cells (T regs) maintain host self-tolerance but are a major barrier to effective cancer immunotherapy. T regs subvert beneficial anti-tumor immunity by modulating inhibitory receptor (IR) expression on tumor infiltrating lymphocytes (TILs); however, the underlying mediators and mechanisms remain elusive. Here we show that interleukin-10 (IL10) and interleukin-35 (IL35; Ebi3/IL12a heterodimer) are divergently expressed by T reg subpopulations in the tumor microenvironment (TME) and cooperatively promote intratumoral T cell exhaustion. T reg -restricted deletion of Il10 and/or Ebi3 resulted in delayed tumor growth, loss of multi-IR expression, and reduced intratumoral CD8 + T cell exhaustion signature. While Il10 or Ebi3 loss was associated with reduced expression of B lymphocyte-induced maturation protein-1 (BLIMP1; Prdm1), IL10 and IL35 differentially impacted effector versus memory T cell fates, respectively, highlighting their differential, partially overlapping but non-redundant regulation of anti-tumor immunity. Our results reveal previously unappreciated cooperative roles for IL10 and IL35, produced by limits effective anti-tumor immunity Overall design: TIL CD8 cells from Treg specific IL10, IL35 and double knockouts, sorted into populations based on exhaustion markers. TIL Tregs sorted based on IL10 and IL35 expression.

Publication Title

Adaptive plasticity of IL-10<sup>+</sup> and IL-35<sup>+</sup> T<sub>reg</sub> cells cooperatively promotes tumor T cell exhaustion.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP184268
Adaptive plasticity of IL10+ and IL35+ regulatory T cells cooperatively promote intratumoral T cell exhaustion
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Abstract: Regulatory T cells (Tregs) maintain host self-tolerance but are a major barrier to effective cancer immunotherapy. Tregs subvert beneficial anti-tumor immunity by modulating inhibitory receptor (IR) expression on tumor infiltrating lymphocytes (TILs); however, the underlying mediators and mechanisms remain elusive. Here we show that interleukin-10 (IL10) and interleukin-35 (IL35; a heterodimer of Ebi3 and IL12?) are reciprocally expressed by Treg-subpopulations in the tumor microenvironment (TME) and cooperatively promote intratumoral T cell exhaustion. Treg-restricted deletion of either Il10/Ebi3 or dual deletion resulted in delayed tumor growth and significant reduction of transcriptomic exhaustion signature associated with reduced expression of B lymphocyte-induced maturation protein-1 (BLIMP1; Prdm1). While the two cytokines share the BLIMP1 axis to drive multi-IR expression; they differentially impact effector vs. memory fate, highlighting their overlapping and non-redundant regulation of anti-tumor immunity. Our results reveal previously unappreciated adaptive plasticity in inhibitory cytokine expression pattern by Tregs in TME for maximal immunosuppression. Data purpose: to understand the segregated cytokine expression pattern and the preferential generation of single cytokine positive Treg subpopulations, we performed single cell RNASeq (scRNAseq) contrasting Tregs isolated from naïve, unchallenged LNs or day 14 B16 tumor from Foxp3Cre-YFP WT mice Overall design: LNs or day 14 B16 tumor from Foxp3Cre-YFP WT mice

Publication Title

Adaptive plasticity of IL-10<sup>+</sup> and IL-35<sup>+</sup> T<sub>reg</sub> cells cooperatively promotes tumor T cell exhaustion.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE24234
Experimental systems biology: Lessons from an integrated, multi-laboratory study in yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We undertook an inter-laboratory effort to generate high-quality quantitative data for a very large number of cellular components in yeast using transcriptome and metabolome analysis. We ensured the high-quality of the experimental data by evaluating a wide range of sampling and measurement techniques. The data were generated for two different yeast strains, each growing under two different growth conditions and based on integrated analysis of the high-throughput data we hypothesize that differences in growth rates and yields on glucose between the two strains are due to differences in protein metabolism.

Publication Title

Integrated multilaboratory systems biology reveals differences in protein metabolism between two reference yeast strains.

Sample Metadata Fields

No sample metadata fields

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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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