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accession-icon GSE68861
Expression data from third instar Drosophila larvae
  • organism-icon Drosophila melanogaster
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Drosophila Gene 1.1 ST Array (drogene11st)

Description

Ectopic expression of DNMT3L in Drosophila causes melanotic tumor in the transgenic flies from fifth generation onwards.

Publication Title

DNMT3L enables accumulation and inheritance of epimutations in transgenic Drosophila.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP099137
Global transcriptional profiling using RNA sequencing and DNA methylation patterns in highly enriched mesenchymal cells from young versus elderly women.
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Identification of relevant genetic pathways that are altered with aging knowing that the precursors for bone-forming osteoblasts reside in the mesenchymal cell population of bone marrow. Method: harvested and characterized, without in vitro culture, mesenchymal cells form human bone marrow capable of osteogenic differentiation Results: Identification of differentially regulated genes with aging in a highly enriched human bone marrow mesenchymal cell population. Conclusions: we have for the first time identified age-related differential gene expression and DNA methylation patterns in a highly enriched human bone marrow mesenchymal cell populationprofiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions. Overall design: Examination of gene expression and DNA methylation patterns from a highly enriched bone marrow mesenchymal cell population from young (mean age, 28.7 years) versus old (mean age, 73.3 years) women

Publication Title

Global transcriptional profiling using RNA sequencing and DNA methylation patterns in highly enriched mesenchymal cells from young versus elderly women.

Sample Metadata Fields

Specimen part, Subject

View Samples
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

View Samples
accession-icon GSE15102
Targetting CD24 for treatment of colorectal and pancreatic cancer by monoclonal antibodies or siRNA
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

CD24 is a potential oncogene reported to be overexpressed in a large variety of human malignancies. We have shown that CD24 is overexpressed in 90% of colorectal tumors at a fairly early stage in the multistep process of carcinogenesis. Anti-CD24 monoclonal antibodies (mAb) induce a significant growth inhibition in colorectal and pancreatic cancer cell lines that express the protein. This study is designed to investigate further the effects of CD24 down-regulation using mAb or small interfering RNA in vitro and in vivo. Western blot analysis showed that anti-CD24 mAb induced CD24 protein down-regulation through lysosomal degradation. mAb augmented growth inhibition in combination with five classic chemotherapies. Xenograft models in vivo showed that tumor growth was significantly reduced in mAb-treated mice. Similarly, stable growth inhibition of cancer cell lines was achieved by down-regulation of CD24 expression using short hairpin RNA (shRNA). The produced clones proliferated more slowly, reached lower saturation densities, and showed impaired motility. Most importantly, down-regulation of CD24 retarded tumorigenicity of human cancer cell lines in nude mice. Microarray analysis revealed a similar pattern of gene expression alterations when cells were subjected to anti-CD24 mAb or shRNA. Genes in the Ras pathway, mitogenactivated protein kinase, or BCL-2 family and others of oncogenic association were frequently down-regulated. As a putative new oncogene that is overexpressed in gastrointestinal malignancies early in the carcinogenesis process, CD24 is a potential target for early intervention in the prevention and treatment of cancer.

Publication Title

Targeting CD24 for treatment of colorectal and pancreatic cancer by monoclonal antibodies or small interfering RNA.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP147552
Endovascular progenitors invade melanoma tumors and differentiate towards a variety of vascular beds to promote tumor metastasis
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Tumors have the capacity to trigger the formation of blood vessels allowing them to spread to other body parts. We examined here the stem cells that form arteries and veins within tumors and propose that their inhibition reduces metastatic spread. Overall design: Examination of dynamics and differentiation of tissue resident endothelial hierarchy in a melanoma setting

Publication Title

Endovascular progenitors infiltrate melanomas and differentiate towards a variety of vascular beds promoting tumor metastasis.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE66236
Achilles Heels of Senescent Cells: From Transcriptome to Senolytic Drugs
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The healthspan of mice is enhanced by selectively killing senescent cells using a transgenic suicide gene. Achieving the same using small molecules would have a tremendous impact on quality of life and burden of age-related chronic diseases.

Publication Title

The Achilles' heel of senescent cells: from transcriptome to senolytic drugs.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE13672
Mouse mpkCCD cells, Rat Kidney Proximal Tubule, and Rat Kidney Medullary Thick Ascending Limb
  • organism-icon Mus musculus, Rattus norvegicus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A series contains a set of transcript intensity values measured by Affymetrix microarray.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE13667
mpkCCD_Cell_Clones
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This series of microarray data contain transcript intensity of mpkCCD cells.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13668
Profiling of Transcripts in Rat Proximal Tubule
  • organism-icon Rattus norvegicus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Freshly isolated rat kidney proximal tubules were subjected for transcript profiling.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE13669
Profiling of Transcripts in Rat Kidney Medullary Thick Ascending Limb
  • organism-icon Rattus norvegicus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Freshly isolated rat kidney medullary thick ascending limbs were subjected for transcript profiling.

Publication Title

Systems-level analysis of cell-specific AQP2 gene expression in renal collecting duct.

Sample Metadata Fields

Sex, 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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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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