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accession-icon GSE27120
Characterization and clinical evaluation of CD10+ stroma cells in the breast cancer microenvironment
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: There is growing evidence that interaction between stromal and tumor cells is pivotal in breast cancer progression and response to therapy. Since the pioneer work of Allinen et al. suggested that during breast cancer progression striking changes occur in CD10+ stromal cells, we aimed to better characterize this cell population and its clinical relevance.

Publication Title

Characterization and clinical evaluation of CD10+ stroma cells in the breast cancer microenvironment.

Sample Metadata Fields

Specimen part, Disease stage

View Samples
accession-icon GSE36769
CD4+ TIL in human breast cancer
  • organism-icon Homo sapiens
  • sample-icon 58 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

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE36765
Gene expression profiling of CD4+ T cells infiltrating human breast cancer (Discovery Set)
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE36766
Effect of human breast tumor supernatant on normal CD4+ T cells (Confirmation Set SN)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE36767
Gene changes of CD4+ T cells infiltrating human breast cancer in the absence of tumor environment (Confirmation Set 24h)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE36768
Effect of human breast tumor supernatant on normal CD4+ T cells (Preliminary Experiment)
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD4+ helper T (Th) cells are critical regulators of immune responses but their role in breast cancer is currently unknown. This work aims to characterize Th cells infiltrating invasive primary human breast tumors, analyze the influence by the tumor microenvironment and identify Th cell specific prognostic gene signatures. CD4+ T cells isolated from the tumor (TIL), axillary lymph node (LN) and blood (PB) of 10 patients were analyzed on Affymetrix U133 Plus 2.0 arrays. A confirmation set of 60 patients were studied by flow cytometry, qRT-PCR or immunohistochemistry and analyzed according to the extent of the tumor immune infiltrate. Gene expression profiles of freshly isolated TIL were also compared with TIL that had been rested overnight or with CD4+ T cells [non-stimulated (NS) or stimulated (S)] from healthy donor PB treated with tumor supernatant (SN).

Publication Title

CD4⁺ follicular helper T cell infiltration predicts breast cancer survival.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

View Samples
accession-icon GSE112273
Cobomarsen, an Oligonucleotide Inhibitor of miR-155, Coordinately Regulates Multiple Survival Pathways to Reduce Cellular Proliferation and Survival in Cutaneous T-Cell Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

miR-155 is a microRNA associated with poor prognosis in lymphoma and leukemia and has been implicated in the progression of Mycosis Fungoides (MF), the most common form of cutaneous T-cell lymphoma (CTCL). In this study, we developed and tested Cobomarsen (MRG-106), a locked nucleic acid-modified oligonucleotide inhibitor of miR-155. In MF cell lines in vitro, inhibition of miR-155 with Cobomarsen de-repressed direct miR-155 targets, decreased expression of multiple gene pathways associated with cell survival, reduced survival signaling, decreased cell proliferation, and activated apoptosis.

Publication Title

Cobomarsen, an oligonucleotide inhibitor of miR-155, co-ordinately regulates multiple survival pathways to reduce cellular proliferation and survival in cutaneous T-cell lymphoma.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE68801
Human Alopecia Areata Skin Biopsy Samples
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling of scalp skin biopsies from patients with alopecia areata or normal healthy controls

Publication Title

Molecular signatures define alopecia areata subtypes and transcriptional biomarkers.

Sample Metadata Fields

Sex, Age, Disease, Subject

View Samples
accession-icon SRP067092
Cerebellar RNA-Seq from ATXN1 Transgenic Mice Reveals SCA1 Disease Progression and Protection Pathways
  • organism-icon Mus musculus
  • sample-icon 69 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

SCA1, a fatal neurodegenerative disorder, is caused by a CAG expansion encoding a polyglutamine stretch in the protein ATXN1. We used RNA-seq to profile cerebellar RNA expression in ATXN1 mice, including lines with ataxia and progressive pathology and lines having ataxia in absence of Purkinje cell progressive pathology. Weighted Gene Coexpression Network Analysis of the cerebellar RNA-seq data revealed two gene networks that significantly correlated with disease, the Magenta (342 genes) and Light Yellow (35 genes) Modules. Features of the Magenta and Light Yellow Modules indicate they reflect distinctive pathways. The Magenta Module provides a description of suppressed transcriptional programs reflecting disease progression in Purkinje cells, while the Lt Yellow Module reflects other transcriptional programs activated in response to disease in Purkinje cells as well as other cerebellar cell types. We also found that up-regulation of cholecystokinin (Cck) blocked progression of Purkinje cell pathology and that loss of Cck function in mice lacking progressive disease enabled Purkinje cell pathology to progress to cell death. Overall design: Cerebellar mRNA expression profiles from ATXN1[82Q], ATXN1[30Q], and ATXN1[30Q]-D776 transgenic mice and wild type/FVB mice at 5 weeks, 12 weeks and 28 weeks of age ---------------------------- cuffnorm_ATXN1.82Q_ATXN1.30Q.D776_WTFVB_genes.fpkm_tracking.txt: CuffNorm normalized values for all samples (snoRNAs and miRNAs removed) cuffdiff_week5_ATXN1.82Q_ATXN1.30Q.D776_WTFVB_gene_exp.diff.txt: Cuffdiff comparison between samples at week 5; pairwise comparisons between ATXN1[82Q], ATXN1[30Q]D776 and FVB cuffdiff_week12_ATXN1.82Q_ATXN1.30Q.D776_WTFVB_gene_exp.diff.txt: Cuffdiff comparison between samples at week 12; pairwise comparisons between ATXN1[82Q], ATXN1[30Q]D776 and FVB cuffdiff_week28_ATXN1.82Q_ATXN1.30Q.D776_WTFVB_gene_exp.diff.txt: Cuffdiff comparison between samples at week 28; pairwise comparisons between ATXN1[82Q], ATXN1[30Q]D776 and FVB cuffdiff_week5_vs_week12_vs_week28_ATXN1.82Q_gene_exp.diff.txt: Cuffdiff comparison between ATXN1[82Q] at week 5, week 12 and week 28 cuffdiff_week5_vs_week12_vs_week28_ATXN1.30Q.D776_gene_exp.diff.txt: Cuffdiff comparison between ATXN1[30Q]D776 at week 5, week 12 and week 28 cuffdiff_week5_vs_week12_vs_week28_FVB_gene_exp.diff.txt: Cuffdiff comparison between wt/FVB at week 5, week 12 and week 28

Publication Title

Cerebellar Transcriptome Profiles of ATXN1 Transgenic Mice Reveal SCA1 Disease Progression and Protection Pathways.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

View Samples
accession-icon GSE17824
Transcriptional profiling after inhibition of cellulose synthesis by TA and IXB in Arabidopsis thaliana suspension cells
  • organism-icon Arabidopsis thaliana
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcriptional profiling after inhibition of cellulose synthesis by thaxtomin A and isoxaben in Arabidopsis thaliana suspension cells

Publication Title

Transcriptional profiling in response to inhibition of cellulose synthesis by thaxtomin A and isoxaben in Arabidopsis thaliana suspension cells.

Sample Metadata Fields

Specimen part

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)

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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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