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accession-icon GSE14807
Investigation of over-expressing Annexin receptor cell line with and without agonists
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The therapeutic potential of pro-resolution factors in determining the outcome of inflammatory events has gained ground over the past decade. However, the attention has been focused on the non-genomic effects of these endogenous, anti-inflammatory substances. In this study, we have focused our attention on identifying specific annexin 1 (AnxA1) protein/ALX receptor mediated gene activation, in an effort to identify down-stream genomic targets of this well-known, glucocorticoid induced, pro-resolution factor.

Publication Title

Downstream gene activation of the receptor ALX by the agonist annexin A1.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28015
Identification of Tumor Suppressors and Oncogenes from Genomic and Epigenetic Features in Ovarian Cancer
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer.

Sample Metadata Fields

Sex, Disease, Disease stage, Treatment

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accession-icon GSE27943
Gene Expression Array of Human Ovarian Cancer.
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The identification of genetic and epigenetic alterations from primary tumor cells has become a common method to identify genes critical to the development and progression of cancer. We provide a bioinformatic analysis of copy number variation and DNA methylation covering the genetic landscape of ovarian cancer tumor cells. We individually examined the copy number variation and DNA methylation for 44 primary ovarian cancer samples and 7 ovarian normal samples using our MOMA-ROMA technology and Affymetrix expression data as well as 379 tumor samples analyzed by The Cancer Genome Atlas. We have identified 346 genes with significant deletions or amplifications among the tumor samples. Utilizing associated gene expression data we predict 156 genes with significantly altered copy number and correlated changes in expression. We identify changes in DNA methylation and expression for all amplified and deleted genes. We predicted 615 potential oncogenes and tumor suppressors candidates by integrating these multiple genomic and epigenetic data types.

Publication Title

Identification of tumor suppressors and oncogenes from genomic and epigenetic features in ovarian cancer.

Sample Metadata Fields

Sex, Disease, Disease stage

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accession-icon GSE58601
Expression data from biopsies of TGP patients
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We study the global gene expression profiles of TGP patients with or without graft loss to determine if a clinical and/or gene expression profile can predict allograft survival.

Publication Title

Clinical, Histological, and Molecular Markers Associated With Allograft Loss in Transplant Glomerulopathy Patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE18830
B1 sox (sox2/3/19a/19b) quadruple knockdown in the zebrafish embryo
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

The B1 SOX transcription factors SOX1/2/3/19 have been implicated in various processes of early embryogenesis. However, their regulatory functions in stages from the blastula to early neurula remain largely unknown, primarily because loss-of-function studies have not been informative to date. In our present study, we systematically knocked down the B1 sox genes in zebrafish. Only the quadruple knockdown of the four B1 sox genes sox2/3/19a/19b, which are active in the early embryo, resulted in very severe developmental abnormalities, confirming that the B1 sox genes are functionally redundant. We characterized the sox2/3/19a/19b quadruple knockdown embryos in detail by examining the changes in gene expression through microarray analysis as well as in situ hybridization.

Publication Title

B1 SOX coordinate cell specification with patterning and morphogenesis in the early zebrafish embryo.

Sample Metadata Fields

Specimen part

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accession-icon GSE38342
E12.5 CD9+ Mouse Placental Trophoblast Microarray, Wild-type vs c-Met KO
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The placenta serves as the structural interface for nutrient and waste exchange for proper fetal development. Although defects in placental function result in various placental disorders, molecular mechanisms orchestrating placental development and function are poorly understood. Gene targeting studies have shown that Hgf or c-Met KO embryos exhibit growth retardation and markedly smaller size of the placenta, and die by E14.5. Stem/progenitor cells in various tissues express c-Met and they participate in morphogenesis and tissue repair. Thus, we hypothesized that the HGF/c-Met signaling pathway is essential for the emergence, proliferation, and/or differentiation of putative stem/precursor cells of labyrinth trophoblasts at the midgestation stage.

Publication Title

c-Met-dependent multipotent labyrinth trophoblast progenitors establish placental exchange interface.

Sample Metadata Fields

Specimen part

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accession-icon GSE51927
Expression analysis of murine primary and derived orthotopic SEOC tumors
  • organism-icon Mus musculus
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53, Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. We have adapted these GEM models to orthotopic allografts that uniformly develop tumors with short latency in immunocompetent recipients and are ideally suited for routine preclinical studies. To monitor passaged tumors at the molecular level, we analyzed transcriptional profiles of a set of primary SEOC and matching derived passaged tumors. We have merged this dataset with previously published ( doi: 10.1158/0008-5472.CAN-11-3834; PMID 22617326) dataset of murine primary ovarian tumors from our GEM models (GSE46169) and merged and compared them to expression profiles of human dataset published previously (doi: 10.1038/nature10166).

Publication Title

Pathway-specific engineered mouse allograft models functionally recapitulate human serous epithelial ovarian cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE6737
Over-expression of a Type-A Response Regulator Alters Rice Morphology and Cytokinin Metabolism
  • organism-icon Oryza sativa
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Overexpression of a type-A response regulator alters rice morphology and cytokinin metabolism.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6719
Cytokinin responsive genes in rice
  • organism-icon Oryza sativa
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Cytokinins (CKs) are a class of plant hormones that regulate many aspects of growth and development, including cell division, apical dominance, leaf senescence, nutrient signaling, and shoot differentiation. In the past decade, substantial progress has been made in understanding CK biosynthesis, metabolism and signal transduction. Much of this knowledge is based on research in Arabidopsis, a dicotyledonous model plant. Although cytokinin plays an important role for growth and development in the Gramineae, our knowledge of cytokinin responsive genes in monocotyledonous species is very limited compared to Arabidopsis. The search for genes whose expression is modified by CK has yielded a number of valuable tools that have been used to understand CK signaling and the complex developmental processes under control of this hormone. We tried to identify rice genes regulated by CK using an Affymetrix rice genome array.

Publication Title

Overexpression of a type-A response regulator alters rice morphology and cytokinin metabolism.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6720
Gene expression in OsRR6-overexpression line
  • organism-icon Oryza sativa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Cytokinins (CKs) are a class of plant hormones that regulate many aspects of growth and development, including cell division, apical dominance, leaf senescence, nutrient signaling, and shoot differentiation. In the past decade, substantial progress has been made in understanding CK biosynthesis, metabolism and signal transduction. Much of this knowledge is based on research in Arabidopsis, a dicotyledonous model plant. The current model of the CK signaling pathway is a multi-step His-Asp phosphorelay system. Some of the cytokinin-inducible response regulators are thought to act as negative regulators of CK signaling. We tried to identify rice genes regulated by CK-inducible response regulator using an Affymetrix rice genome array and transgenic rice that over-express OsRR6.

Publication Title

Overexpression of a type-A response regulator alters rice morphology and cytokinin metabolism.

Sample Metadata Fields

No sample metadata fields

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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