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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 GSE38091
Co-culture of human hematopoietic stem cells with osteoblasts affects mono/macrophage versus erythroid lineage choice.
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hematopoietic stem cells (HSCs) are located in the bone marrow in a specific microenvironment referred as the hematopoietic stem cell niche, where HSCs interact with a variety of stromal cells. Though several components of the stem cell niche have been identified, the regulatory mechanisms through which such components regulate the stem cell fate are still unknown. In order to address this issue, we investigated how osteoblasts (OBs) can affect the molecular and functional phenotype of HSCs and vice versa. Our data showed that CD34+ cells cultured with OBs give rise to higher total cell numbers, produce more CFU and maintain a higher percentage of CD34+CD38- cells compared to control culture. Moreover, clonogenic assay and long-term culture results showed that OBs enhance HSC differentiation towards the mono/macrophage lineage at the expense of the granulocytic and erythroid ones. Finally, GEP analysis allowed us to identify several cytokine-receptor networks, such as WNT pathway, and transcription factors, as TWIST1 and FOXC1, that could be activated by co-culture with OBs and could be responsible for the biological effects reported above.

Publication Title

Co-culture of hematopoietic stem/progenitor cells with human osteblasts favours mono/macrophage differentiation at the expense of the erythroid lineage.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE8646
The Hay Wells Syndrome-Derived TAp63alphaQ540L Mutant Has Impaired Transcriptional and Cell Growth Regulatory Activity
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

p63 mutations have been associated with several human hereditary disorders characterized by ectodermal dysplasia such as EEC syndrome, ADULT syndrome and AEC syndrome . The location and functional effects of the mutations that underlie these syndromes reveal a striking genotype-phenotype correlation. Unlike EEC and ADULT that result from missense mutations in the DNA-binding domain of p63, AEC is solely caused by missense mutations in the SAM domain of p63. We report a study on the TAp63a isoform, the first to be expressed during development of the embryonic epithelia, and on its naturally occurring Q540L mutant derived from an AEC patient. To assess the effects of the Q540L mutation, we generated stable cell lines expressing TAp63a wt, DeltaNp63 alpha or the TAp63 alpha-Q540L mutant protein and used them to systematically compare the cell growth regulatory activity of the mutant and wt p63 proteins and to generate, by microarray analysis, a comprehensive profile of differential gene expression. We found that the Q540L substitution impairs the transcriptional activity of TAp63a and causes misregulation of genes involved in the control of cell growth and epidermal differentiation.

Publication Title

The Hay Wells syndrome-derived TAp63alphaQ540L mutant has impaired transcriptional and cell growth regulatory activity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE2852
Ochratoxin A study on rat liver and kidney gene expression
  • organism-icon Rattus norvegicus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Ochratoxin A gene expression profiling in liver and kidney, with time points of exposure from 7 days to 12 motnhs

Publication Title

A toxicogenomics approach to identify new plausible epigenetic mechanisms of ochratoxin a carcinogenicity in rat.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE59201
Gene expression changes during retinal development and rod specification.
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Photoreceptor disorders are collectively known as retinal degeneration (RD), and include retinitis pigmentosa (RP), cone-rod dystrophy and age related macular degeneration (AMD). These disorders are largely genetic in origin; individual mutations in any one of >200 genes cause RD, making mutation specific therapies prohibitively expensive. A better treatment plan, particularly for late stage disease, may involve stem cell transplants into the photoreceptor or ganglion cell layers of the retina. Stem cells from young mouse retinas can be transplanted, and can form photoreceptors in adult retinas. These cells can be grown in tissue culture, but can no longer form photoreceptors. We have used microarrays to investigate differences in gene expression between cultured retinal progenitor cells (RPCs) that have lost photoreceptor potential, postnatal day 1 (pn1) retinas and the postnatal day 5 (pn5) retinas that contain transplantable photoreceptors. We have also compared FACS sorted Rho-eGFP expressing rod photoreceptors from pn5 retinas with Rho-eGFP negative cells from the same retinas. We have identified over 300 genes upregulated in rod photoreceptor development in multiple comparisons, 37 of which have been previously identified as causative of retinal disease when mutated. It is anticipated that this research should bring us closer to growing photoreceptors in culture and therefore better treatments for RD. This dataset is also a resource for those seeking to identify novel retinopathy genes in RD patients.

Publication Title

Gene expression changes during retinal development and rod specification.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE4219
Spheroid Formation and Recovery of Human Foreskin Fibroblasts and T98G Glioma Cells at Ambient Temperature
  • organism-icon Homo sapiens
  • sample-icon 23 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

Activated stress response pathways within multicellular aggregates utilize an autocrine component.

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)

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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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