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accession-icon GSE97209
R-spondin 2 is required for optic vesicle morphogenesis and neuroretina specification in vivo and in vitro
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Using stem cellbased therapies to treat retinal abnormalities is becoming a likely possibility; therefore, identifying the key factors and the relevant mechanisms controlling optic vesicle morphogenesis and neuroretina (NR) differentiation is important. Recent advances in self-organizing, 3-dimensional (3D) tissue cultures of embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs) provided a valuable in vitro model for characterizing regulatory cascades and signaling pathways controlling mammalian retinal development. Using Rx-GFP expressing ESCs and Six3/ iPSCs we identified R-spondin 2 (Rspo2)-mediated repression of Wnt signaling as a novel required step during optic vesicle morphogenesis and NR differentiation. Furthermore, we also show that transient ectopic expression of Rspo2 in the anterior neural plate of transgenic mouse embryos was sufficient to arrest NR differentiation. ChIP assays identified Six3-responsive elements in the Rspo2-promoter region, indicating that Six3-mediated repression of Rspo2 is required to restrict Wnt signaling in the developing anterior neuroectoderm and allow eye development to proceed.

Publication Title

An Eye Organoid Approach Identifies Six3 Suppression of R-spondin 2 as a Critical Step in Mouse Neuroretina Differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE7116
Clinical, radiographic, and biomarker characterization of multiple myeloma patients with osteonecrosis of the jaw.
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

BACKGROUND:

Publication Title

Clinical, radiographic, and biochemical characterization of multiple myeloma patients with osteonecrosis of the jaw.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE37325
Expression profiles of Drosophila melanogaster males with DX mothers and X-chromosomes that were subjected to male-limited evolution
  • organism-icon Drosophila melanogaster
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Intralocus sexual conflict, where males and females have different fitness optima for the same trait, has been suggested to potentially be resolved by genomic imprinting, whereby expression in offspring is altered according to parent-of-origin. However, this idea has not yet been empirically tested. Here, we designed an experimental evolution protocol in Drosophila melanogaster which enabled us to look for imprinting effects on the X-chromosome. We enforced father-to-son transmission of the X-chromosome for many generations, and compared fitness and gene expression levels between control males, males with a control X-chromosome that had undergone one generation of father-son transmission (CDX), and males with an X-chromosome that had undergone many generations of father-son transmission (MLX). Although fitness differences were consistent with lowered fitness of males with a paternally inherited X-chromosome, expression differences suggested that this was due to deleterious maternal effects rather than imprinting. We conclude that imprinting is unlikely to resolve intralocus sexual conflict in Drosophila melanogaster.

Publication Title

Epigenetics and sex-specific fitness: an experimental test using male-limited evolution in Drosophila melanogaster.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE11103
Study of human immune and memory T cells using microarray
  • organism-icon Homo sapiens
  • sample-icon 39 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

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE77974
Characterization of a P-REX1 gene signature in breast cancer cells
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The Rac nucleotide Exchange Factor (Rac-GEF) P-Rex1 is highly expressed in breast cancer, specifically in the luminal subtype, and is an essential mediator of actin cytoskeleton reorganization and cell migratory responses induced by ErbB and other tyrosine-kinase receptors. Heregulin, a growth factor highly expressed in mammary tumors, causes the activation of P-Rex1 and Rac1 in breast cancer cells via ErbB3, leading to a motile response. Since there is limited information about P-Rex1 downstream effectors, we carried out a microarray analysis to identify genes regulated by P-Rex1 in the context of HRG stimulation. In T-47D breast cancer cells, HRG treatment caused major changes in gene expression, including genes associated with motility, adhesion, invasiveness and metastasis. Silencing P-Rex1 expression from T-47D cells using RNAi altered the induction and repression of a subset of HRG-regulated genes, among them genes associated with extracellular matrix organization, migration, and chemotaxis. HRG induction of MMP10, a gene encoding for metalloproteinase-10, was found to be highly sensitive both to P-Rex1 depletion as well as inhibition of Rac1 function by the GTPase Activating Protein (GAP) 2-chimaerin, suggesting the dependence of the P-Rex1/Rac1 pathway for the induction of genes critical for breast cancer invasiveness. Notably, there is a significant association in the expression of P-Rex1 and MMP10 in human luminal breast cancer, and their co-expression is indicative of poor prognosis.

Publication Title

Characterization of a P-Rex1 gene signature in breast cancer cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11057
Memory T Cell Subsets
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE11058
Immune Cell Line Mixtures
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.

Publication Title

Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5850
Microarray analysis of NL and PCOS oocytes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polycystic ovary syndrome (PCOS), the most common cause of anovulatory infertility, is characterized by increased ovarian androgen production, arrested follicle development, and is frequently associated with insulin resistance. These PCOS phenotypes are associated with exaggerated ovarian responsiveness to FSH and increased pregnancy loss. To examine whether the perturbations in follicle growth and the intrafollicular environment affects development of the mature PCOS oocyte, genes that are differentially expressed in PCOS compared to normal oocytes were defined using microarray analysis. This analysis detected approximately 8000 transcripts. Hierarchical clustering and principal component analysis revealed differences in global gene expression profiles between normal and PCOS oocytes. 374 genes had a statistically-significant increase or decrease in mRNA abundance in PCOS oocytes. A subset of these genes was associated with chromosome alignment and segregation during mitosis and/or meiosis, suggesting that increased mRNAs for these proteins may negatively affect oocyte maturation and/or early embryonic development. Of the 374 differentially expressed genes, 68 contained putative androgen receptor, retinoic acid receptor, and/or peroxisome proliferating receptor gamma binding sites, including 9 of the genes involved in chromosome alignment and segregation. These analyses demonstrated that normal and PCOS oocytes that are morphologically indistinguishable and of high quality exhibit different gene expression profiles. Furthermore, altered mRNA levels in the PCOS oocyte may contribute to defects in meiosis and/or mitosis which might impair oocyte competence for early development and therefore contribute to poor pregnancy outcome in PCOS.

Publication Title

Molecular abnormalities in oocytes from women with polycystic ovary syndrome revealed by microarray analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10066
Transcriptional responses to lactic acid in anaerobic chemostat cultures of Saccharomyces cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Raw expression values (CHP data) for transcriptional profiling of the response of Saccharomyces cerevisiae to challenges with lactic acid at pH 3 and pH 5.

Publication Title

Physiological and transcriptional responses to high concentrations of lactic acid in anaerobic chemostat cultures of Saccharomyces cerevisiae.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE21517
ADAM13 knockdown in Xenopus laevis cranial neural crest
  • organism-icon Xenopus laevis
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Xenopus laevis Genome Array (xenopuslaevis)

Description

ADAMs are transmembrane metalloproteases that control cell behavior by cleaving both cell adhesion and signaling molecules. The cytoplasmic domain of ADAMs can regulate the proteolytic activity by controlling the subcellular localization and/or the activation of the protease domain. Here we show that the cytoplasmic domain of ADAM13 is cleaved and translocates into the nucleus. Preventing this translocation renders the protein incapable of promoting cranial neural crest (CNC) cell migration in vivo, without affecting its proteolytic activity. In addition, the cytoplasmic domain of ADAM13 regulates the expression of multiple genes in the CNC. This study shows that the cytoplasmic domain of ADAM metalloproteases can perform essential functions in the nucleus of cells and may contribute substantially to the overall function of the protein.

Publication Title

Translocation of the cytoplasmic domain of ADAM13 to the nucleus is essential for Calpain8-a expression and cranial neural crest cell migration.

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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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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