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accession-icon GSE62382
Neonatal testis transcriptome profiles differ among calves born to cows supplemented with different forms of dietary selenium throughout gestation
  • organism-icon Bos taurus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.0 ST Array (bovgene10st)

Description

In many parts of the US, selenium (Se)-deficient soils dictate the necessity of supplementing this trace mineral directly to the diet of cattle, with the form of Se supplied known to affect tissue-level gene expression profiles and presumably function. Because a deficiency of Se will reduce fertility, including reduced biosynthesis of testosterone by the testis and an increased frequency of abnormalities in mature spermatozoa, we hypothesized that the form of Se supplemented to cows during gestation would affect the transcriptome of the neonatal bull calf testis. Microarray analysis using the Bovine gene 1.0 ST array (GeneChip; Affymetrix, Inc., Santa Clara, CA) was conducted to determine whether gestational form of supplemental Se affected gene expression profiles in the testis. GeneChip transcript annotations were last updated in January 2013 using the annotation update release 33 from the NetAffx annotation database.

Publication Title

Gestational form of Selenium in Free-Choice Mineral Mixes Affects Transcriptome Profiles of the Neonatal Calf Testis, Including those of Steroidogenic and Spermatogenic Pathways.

Sample Metadata Fields

Specimen part

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accession-icon GSE640
Spermatogenesis
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Array (mgu74a), Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

A multitude of genes expressed solely in meiotic or postmeiotic spermatogenic cells offers a myriad of contraceptive targets.

Publication Title

A multitude of genes expressed solely in meiotic or postmeiotic spermatogenic cells offers a myriad of contraceptive targets.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE72353
A lincRNA connected to cell mortality and epigenetically-silenced in most common human cancers
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

- Gene expression changes linked to two step immortalization of human mammary epithelial cells (HMEC).

Publication Title

A lincRNA connected to cell mortality and epigenetically-silenced in most common human cancers.

Sample Metadata Fields

Specimen part

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accession-icon SRP049257
A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin states (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

During hematopoiesis, cells originating from the same stem cell reservoir differentiate into distinct cell types. The mechanisms enabling common progenitors to differentiate into distinct cell fates are not fully understood. Here, we identify chromatin-regulating and cell-fate-determining transcription factors (TF) governing dendritic cell (DC) development by annotating the enhancer and promoter landscapes of the DC lineage. Combining these analyses with detailed over-expression, knockdown and ChIP-Seq studies, we show that Irf8 functions as a plasmacytoid DC epigenetic and fate-determining TF, regulating massive, cell-specific chromatin changes in thousands of pDC enhancers. Importantly, Irf8 forms a negative feedback loop with Cebpb, a monocyte-derived DC epigenetic fate-determining TF. We show that using this circuit logic, differential activity of TF can stably define epigenetic and transcriptional states, regardless of the microenvironment. More broadly, our study proposes a general paradigm that allows closely related cells with a similar set of signal-dependent factors to generate differential and persistent enhancer landscapes. Overall design: Here analyzed 2 experiments, each one contains samples of moDC and pDC ex vivo cultured cells. The first experiment contains 32 samples of moDC and pDC following stimulation with various TLR stimulators. The second experiment contains 8 samples of moDC and pDC following perturbations; Cebpb and Irf8 knock down or over expression.

Publication Title

A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin States.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE829
Laminin binding/non-binding germ cells
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2), Affymetrix Murine Genome U74A Array (mgu74a)

Description

Comparison of laminin binding and laminin non-binding germ cells

Publication Title

Defining the spermatogonial stem cell.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE830
Rat germ cells
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

Rat germ cells

Publication Title

Defining the spermatogonial stem cell.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE16058
Distinctions between the stasis and telomere attrition senescence barriers in cultured human mammary epithelial cells
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

Molecular distinctions between the stasis and telomere attrition senescence barriers in cultured human mammary epithelial cells

Publication Title

Molecular distinctions between stasis and telomere attrition senescence barriers shown by long-term culture of normal human mammary epithelial cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE12262
Genome-Wide Discovery of STAT3 Functional Binding Sites
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

STAT3 is a transcription factor playing a crucial role in inflammation, immunity and oncogenesis, able to induce distinct subsets of target genes in different cell types or under different conditions. Identification of direct transcriptional targets however has only defined a relatively limited set of genes, not sufficient to explain its variegated functions. In order to improve our understanding of the STAT3 transcriptional network we decided to develop a computational approach for the discovery of STAT3 functional binding sites. Upon generating a Positional Weight Matrix to define STAT3 binding sites, we applied a loglikelihood ratio scoring function and were able to assign affinity scores with very high specificity (93.5%) as measured by EMSA. STAT3 binding sites scoring above a stringent threshold have been identified genome-wide in Homo sapiens and Mus musculus and selected for phylogenetic conservation by genomic sequence alignment using eight vertebrate species. Validation was carried out on a subset of predicted

Publication Title

Genome-wide discovery of functional transcription factor binding sites by comparative genomics: the case of Stat3.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30391
Expression data from human Wharton's jelly stem cells
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human umbilical cord Whartons jelly stem cells (WHJSC) are gaining attention as a possible clinical source of mesenchymal stem cells for use in cell therapy and tissue engineering due to their high accessibility, expansion potential and plasticity. However, the cell viability changes that are associated to sequential cell passage of these cells are not known. In this analysis, we have identified the gene expression changes that are associated to cell passage in WHJSC.

Publication Title

Evaluation of the cell viability of human Wharton's jelly stem cells for use in cell therapy.

Sample Metadata Fields

Specimen part

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accession-icon GSE87629
Genome-wide analysis of B and T cell gene expression during a six-week gluten challenge in patients with celiac disease
  • organism-icon Homo sapiens
  • sample-icon 146 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Dietary gluten proteins (prolamins) from wheat, rye, and barley are the driving forces behind celiac disease, an organ-specific autoimmune disorder that targets both the small intestine and organs outside the gut. In the small intestine, gluten induces inflammation and a typical morphological change of villous atrophy and crypt hyperplasia. Gut lesions improve and heal when gluten is excluded from the diet and the disease relapses when patients consume gluten. Oral immune tolerance towards gluten may be kept for years or decades before breaking tolerance in genetically susceptible individuals. Celiac disease provides a unique opportunity to study autoimmunity and the transition in immune cells as gluten breaks oral tolerance. Seventy-three celiac disease patients on a long-term gluten-free diet ingested a known amount of gluten daily for six weeks. A peripheral blood sample and intestinal biopsies were taken before and six weeks after initiating the gluten challenge. Biopsy results were reported on a continuous numeric scale that measured the villus height to crypt depth ratio to quantify gluten-induced gut mucosal injury. Pooled B and T cells were isolated from whole blood, and RNA was analyzed by DNA microarray looking for changes in peripheral B- and T-cell gene expression that correlated with changes in villus height to crypt depth, as patients maintained or broke oral tolerance in the face of a gluten challenge.

Publication Title

A B-Cell Gene Signature Correlates With the Extent of Gluten-Induced Intestinal Injury in Celiac Disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment, Subject

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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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