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accession-icon GSE111184
Transcriptional effects of Deoxynivalenol on intestinal porcine epithelial cells (IPEC-J2)
  • organism-icon Sus scrofa
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

in vitro microarray study of transcriptional changes of jejunal cells

Publication Title

Deoxynivalenol Affects Cell Metabolism and Increases Protein Biosynthesis in Intestinal Porcine Epithelial Cells (IPEC-J2): DON Increases Protein Biosynthesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE111185
Transcriptional effects of Deoxynivalenol on intestinal porcine epithelial cells (IPEC-J2) under low glucose condition
  • organism-icon Sus scrofa
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

in vitro microarray study of transcriptional changes of jejunal cells

Publication Title

Deoxynivalenol Affects Cell Metabolism and Increases Protein Biosynthesis in Intestinal Porcine Epithelial Cells (IPEC-J2): DON Increases Protein Biosynthesis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE33246
Gene Regulation of Intestinal Porcine Epithelial Cells IPECJ2 is Dependent on the Site of Deoxynivalenol Toxicological Action
  • organism-icon Sus scrofa
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Here we analysed different mechanisms of apical and basolateral deoxynivalenol (DON) toxicity reflected in the gene expression.

Publication Title

Gene regulation of intestinal porcine epithelial cells IPEC-J2 is dependent on the site of deoxynivalenol toxicological action.

Sample Metadata Fields

Treatment

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accession-icon GSE67407
Comparing two intestinal porcine epithelial cell lines (IPECs): global expression patterns to characterise a in vitro model of intestinal physiology
  • organism-icon Sus scrofa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The intestinal epithelial cell lines 1 and J2 (IPEC-1, IPEC-J2) - spontaneously immortalised cell lines from the porcine intestine - are important tools for studying intestinal function. Microarrays (GeneChip Porcine Genome Array) were used to compare the expression pattern at basal in vitro conditions. Expression analyses complemented by morphological, functional and biochemical analyses revealed that IPEC-J2 is a morphologically and functionally more differentiated cell line in comparison to IPEC-1. In addition, IPEC-2 cells are a preferential tool for in vitro studies with the focus on metabolism.

Publication Title

Comparing Two Intestinal Porcine Epithelial Cell Lines (IPECs): Morphological Differentiation, Function and Metabolism.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22840
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast
  • organism-icon Homo sapiens
  • sample-icon 19 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

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22544
Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast: expression analysis
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Introduction: A major challenge in the interpretation of genomic profiling data generated from breast cancer samples is the identification of driver genes as distinct from bystander genes which do not impact tumorigenesis. One way to assess the relative importance of alterations in the transcriptome profile is to combine complementary analyses that assess changes in the copy number alterations (CNAs). This integrated analysis permits the identification of genes with altered expression that map within specific chromosomal regions that demonstrate copy number alterations, providing a mechanistic approach to identify the 'driver genes.

Publication Title

Integration of transcript expression, copy number and LOH analysis of infiltrating ductal carcinoma of the breast.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE55386
IL-5-mediated gene expression in LDBM cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptome analysis of LDBM cells stimulated with IL-5

Publication Title

IL-5 triggers a cooperative cytokine network that promotes eosinophil precursor maturation.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP007823
Dynamic Transformations of Genome-wide Epigenetic Marking and Transcriptional Control Establish T Cell Identity [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

T cell development comprises a stepwise process of commitment from a multipotent precursor. To define molecular mechanisms controlling this progression, we probed five stages spanning the commitment process using deep sequencing RNA-seq and ChIP-seq methods to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding patterns of GATA-3 and PU.1, transcription factors with complementary roles in T-cell development. The results locate potential promoter-distal cis-elements in play and reveal both activation sites and diverse mechanisms of repression that silence genes used in alternative lineages. Histone marking is dynamic and reversible, and while permissive marks anticipate, repressive marks often lag behind changes in transcription. In vivo binding of PU.1 and GATA-3 relative to epigenetic marking reveals distinctive, factor-specific rules for recruitment of these crucial transcription factors to different subsets of their potential sites, dependent on dose and developmental context. Overall design: Genome-wide expression profiles, global distributions of three different histone modifications, and global occupancies of two transcription factors were examined in five developmentally related immature T populations. High throughput sequencing generated on average 9-30 million of mappable reads (single-read) for each ChIP-seq sample, and 10-15 million (single-read) for RNA-seq. Independent biological replicates were analyzed for individual populations. Terminology: FLDN1_RNA-seq_sample1 and FLDN1_RNA-seq_sample2 are independent biological replicates for the same cell type.

Publication Title

Dynamic transformations of genome-wide epigenetic marking and transcriptional control establish T cell identity.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE75534
Human B-1 and pre-plamablast like cells Gene Expression Array
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Human B-1 cells (CD20+CD27+CD43+CD38lo/int) and pre-plasmablast like cells (CD20+CD27hiCD38hi) are new antibody secreting cells identified in circulation. We used microarray to compare and contrast expressed genes between these two cell population

Publication Title

Distinctions among Circulating Antibody-Secreting Cell Populations, Including B-1 Cells, in Human Adult Peripheral Blood.

Sample Metadata Fields

Specimen part

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accession-icon GSE65627
Expression data from human melanoma specific CD8+ T cell clones
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The optimal T cell attributes for the adoptive immunotherapy of cancer and viral diseases are currently unclear. Recent adoptive transfer clinical trials using ex vivo expanded tumor infiltrating lymphocytes has provided evidence that differentiated effector T cells can mediate durable responses in selected cancer patients. The capacity of these transferred cells to persist in the host was found to strongly correlate with their clinical activity. Thus, there is significant interest in identifying intrinsic markers that define antigen specific effector T cells that can develop into long-lived memory cells rather than undergoing apoptosis after infusion in humans. We recently reported the long term persistence of ex vivo expanded tumor specific CD8+ T effector clones in refractory metastatic melanoma patients after adoptive T cell transfer. By utilizing these highly homogeneous clone populations, we sought to define the pre-infusion cellular and molecular attributes associated with their effector to memory transition. Comparative transcriptional profiling found the pre-infusion clone mRNA expression levels of the IL-7 receptor (IL-7Ra) and the proto-oncogene, c-myc, directly correlated with the level of clonal persistence after adoptive transfer in humans. The predictive value of these markers was further established by utilizing IL-7R protein, induced pSTAT5, and c-myc mRNA expression to prospectively identify human tumor specific effector clones that could engraft after controlled adoptive transfer into highly immunodeficient mice. These findings support that IL-7R and c-myc expression are valuable cell intrinsic markers that can predict the fate of effector CD8+ T cells after adoptive transfer.

Publication Title

Tumor-Specific Effector CD8+ T Cells That Can Establish Immunological Memory in Humans after Adoptive Transfer Are Marked by Expression of IL7 Receptor and c-myc.

Sample Metadata Fields

Specimen part

View Samples
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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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