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accession-icon GSE90922
Expression data in JDCaP prostate cancer xenograft model before and after expression of AR splice variants
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Our previous study using nude rats revealed that the parental JDCaP xenografts predominantly expressed full-length androgen receptor (AR) whereas the relapsed JDCaP xenografts after castration acquired AR splice variants including AR-V7 and ARv567es. To understand molecular mechanisms underlying the acquisition of AR splice variants in the JDCaP model, we performed microarray analysis using RNA samples of the xenografts without castration (Parent), the relapsed xenografts overexpressing full-length AR and AR-V7 (ARhiV7hi), and the relapsed xenografts expressing ARv567es (ARv567es).

Publication Title

The RNA helicase DDX39B and its paralog DDX39A regulate androgen receptor splice variant AR-V7 generation.

Sample Metadata Fields

Specimen part

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accession-icon GSE61604
Effect of Drosophila immune proteins on gene expression in E. coli
  • organism-icon Escherichia coli
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Interaction between the host and invading pathogen determines the fate of both organisms during the infectious state. The host is equipped with a battery of immune reactions, while the pathogen displays a variety of mechanisms to compromise host immunity. Although bacteria alter their pattern of gene expression when they enter host organisms, studies to elucidate the mechanism behind this are only in their infancy. In the present study, we examined the possibility that host immune proteins directly participate in the change of gene expression in bacteria. To this end, Escherichia coli was treated with a mixture of the extracellular region of membrane-bound peptidoglycan recognition protein LC (PGRP-LC) and the antimicrobial peptide attacin of Drosophila, and subsequently subjected to DNA microarray analysis for the repertoire of mRNA. We identified nearly 200 genes whose mRNA increased after the treatment, and at least four of them were induced in response to PGRP-LC. One such gene, lipoprotein-encoding nlpI, showed a transient increase of its mRNA level in adult flies depending on PGRP-LC, and NlpI-lacking E. coli had a smaller pathogenic effect with lowered growth/viability than the parental strain in adult flies. These results suggest that a host immune receptor triggers a change of gene expression in bacteria simultaneously to their recognition of the invader and induction of immune responses.

Publication Title

Peptidoglycan recognition protein-triggered induction of Escherichia coli gene in Drosophila melanogaster.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE85429
Gene expression profiles in Drosophila phagocytes after incubation with apototic cell fragments
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The phagocytic elimination of cells undergoing apoptosis is an evolutionarily conserved innate immune mechanism for eliminating unnecessary cells. Previous studies showed an increase in the level of engulfment receptors in phagocytes after the phagocytosis of apoptotic cells, which leads to the enhancement of their phagocytic activity. However, precise mechanisms underlying this phenomenon require further clarification. We found that the pre-incubation of a Drosophila phagocyte cell line with the fragments of apoptotic cells enhanced the subsequent phagocytosis of apoptotic cells, accompanied by an augmented expression of the engulfment receptors Draper and integrin PS3. The DNA-binding activity of the transcription repressor Tailless was transiently raised in those phagocytes, depending on two partially overlapping signal-transduction pathways for the induction of phagocytosis as well as the occurrence of engulfment. The RNAi knockdown of tailless in phagocytes abrogated the enhancement of both phagocytosis and engulfment receptor expression. Furthermore, the hemocyte-specific RNAi of tailless reduced apoptotic cell clearance in Drosophila embryos. Taken together, we propose the following mechanism for the activation of Drosophila phagocytes after an encounter with apoptotic cells: two partially overlapping signaltransduction pathways for phagocytosis are initiated; transcription repressor Tailless is activated; expression of engulfment receptors is stimulated; and phagocytic activity is enhanced. This phenomenon most likely ensures the phagocytic elimination of apoptotic cells that stimulated phagocytes find thereafter and is thus considered as a mechanism to prime phagocytes in innate immunity.

Publication Title

Signaling pathway for phagocyte priming upon encounter with apoptotic cells.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE14103
Synchronized HTC116 cells: time course
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of synchronized HCT116 cells at various time points up to 10 hours following treatment with DMSO or Nocodazole.

Publication Title

A signature-based method for indexing cell cycle phase distribution from microarray profiles.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE18474
A novel metabolic monitoring system identified nutrition-mediated microbial interactions
  • organism-icon Escherichia coli, Bifidobacterium longum
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

"Omics" technologies have been developed to understand the whole complex microbial systems; however, most omics studies reported so far were utilized to analyze the living matters of single-species. To understand the cell-cell interaction in the gut microbial complex, we selected to examine the interaction of Escherichia coli O157:H7 (O157) and Bifidobacterium longum (BL), known as a pathogenic and a commensal bacteria, as a first step for understanding the whole gut microbial complex. We have developed a novel time-lapse 2D-NMR metabolic profiling system in order to measure the extracellular metabolites, which are considered a key factor to understand the bacterial crosstalk. Furthermore, in combination with transcriptome and proteome analysis, we found that the relationship between BL and O157 could be partially regarded as the producer and the consumer of nutrients, especially in the case of serine and aspartate metabolism. These findings suggest that our novel profiling systems could be a powerful tool toward understanding crosstalk of the whole microbial complex such as the gut, industrial bioreactors or environmental microbial communities.

Publication Title

Dynamic omics approach identifies nutrition-mediated microbial interactions.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12955
Gene expression profile of zebrafish kidney side population (SP) cells
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

Side population (SP) cells are identified based on their capacity to efflux of the fluorescent dye Hoechst 33342, and are enriched for hematopoietic stem cells (HSCs) in mammalian bone marrow. We recently demonstrated that SP cells were present in the teleost kidney, the main hematopoietic organ in teleosts, and were enriched for HSCs. In this analysis, to identify the regulated genes in teleost HSCs, gene expression analysis of zebrafish kidney SP cells were performed using the GeneChip Zebrafish Genome Array.

Publication Title

Comparative gene expression analysis of zebrafish and mammals identifies common regulators in hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE68837
Expression data from cell lines forced expressed PGC7/Stella
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Global DNA hypomethylation and DNA hypermethylation of promoter regionsincluding tumor suppressor genesare frequently detected in human cancers. Although many studies have suggested a contribution to carcinogenesis, it is still unclear whether the aberrant DNA hypomethylation observed in tumors is a consequence or a cause of cancer. We found that overexpression of Stella (also known as PGC7, Dppa3), a maternal factor required for the maintenance of DNA methylation in early embryos, induced global DNA hypomethylation and transformation in NIH3T3 cells. This hypomethylation was due to the binding of Stella to Np95 (also known as Uhrf1, ICBP90) and the subsequent impairment of Dnmt1 localization. In addition, enforced expression of Stella enhanced the metastatic ability of B16 melanoma cells through the induction of metastasis-related genes by inducing DNA hypomethylation of their promoter regions. Such DNA hypomethylation itself causes cellular transformation and metastatic ability. These data provide new insight into the function of global DNA hypomethylation in carcinogenesis.

Publication Title

Global DNA hypomethylation coupled to cellular transformation and metastatic ability.

Sample Metadata Fields

Cell line

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accession-icon GSE73024
FGFR signature
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Drugs that target specific gene alterations have proven beneficial in the treatment of cancer. Because cancer cells have multiple resistance mechanisms, it is important to understand the downstream pathways of the target genes and monitor the pharmacodynamic markers associated with therapeutic efficacy.

Publication Title

ERK Signal Suppression and Sensitivity to CH5183284/Debio 1347, a Selective FGFR Inhibitor.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP032537
Transcriptome of Nkx2-5-null atria
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Atrial specific knockout of Nkx2-5 results in hyperplastic atria with ASD and conduction defects. To examine how Nkx2-5 regulates cardiac proliferation at late gestational stages, RNA-seq was performed. Overall design: Examination of expression profile of 2 Nkx2-5-null atria and 3 controls

Publication Title

Nkx2-5 suppresses the proliferation of atrial myocytes and conduction system.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56406
Global gene expression analyses of paused iPSCs
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Low Klf4 expression reproducibly gives rise to a homogeneous population of partially reprogrammed iPSCs. Upregulation of Klf4 allows these cells to resume reprogramming, indicating that they are paused iPSCs that remain on the path towards pluripotency. Paused iPSCs with different Klf4 expression levels remain at distinct intermediate stages of reprogramming.

Publication Title

Manipulation of KLF4 expression generates iPSCs paused at successive stages of reprogramming.

Sample Metadata Fields

No sample metadata fields

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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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