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accession-icon GSE12190
Ion transport and osmotic adjustment in E. coli in response to ionic and non-ionic osmotica
  • organism-icon Escherichia coli
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Bacteria respond to osmotic stress by a substantial increase in the intracellular osmolality, adjusting their cell turgor for altered growth conditions. Using E. coli as a model organism we demonstrate here that bacterial responses to hyperosmotic stress specifically depend on the nature of osmoticum used. We show that increasing acute hyperosmotic NaCl stress above ~1.0 Os kg-1 causes a dose-dependent K+ leak from the cell, resulting in a substantial decrease in cytosolic K+ content and a concurrent accumulation of Na+ in the cell. At the same time, isotonic sucrose or mannitol treatment (non-ionic osmotica) results in a gradual increase of the net K+ uptake. Ion flux data is consistent with growth experiments showing that bacterial growth is impaired by NaCl at the concentration resulting in a switch from net K+ uptake to efflux. Microarray experiments reveal that about 40% of up-regulated genes shared no similarity in their responses to NaCl and sucrose treatment, further suggesting specificity of osmotic adjustment in E. coli to ionic- and non-ionic osmotica The observed differences are explained by the specificity of the stress-induced changes in the membrane potential of bacterial cells highlighting the importance of voltage-gated K+ transporters for bacterial adaptation to hyperosmotic stress.

Publication Title

Ion transport and osmotic adjustment in Escherichia coli in response to ionic and non-ionic osmotica.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP152201
Identifying Intestine Specific Homeobox gene ISX as a biomarker and therapeutic target for metastatic pancreatic cancer: developing spontaneous progression models displaying stage-specific genomic changes
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: Majority of pancreatic cancer (PDAC) patient deaths are associated to the metastatic progression of disease. To identify novel targeted-therapies, a complete understanding of transformation in genetic landscape in tumors during disease progression is needed. Widely in use, the artificially immortalized PDAC cell lines do not rightly represent the progression because of multiple donors and disparate genetic characteristics. To identify key genes underlying the progression of PDAC from localized disease to a metastatic form, we performed whole transcriptome RNA-Sequencing analysis of cell models representing localised to metaststic stage through paired-end deep sequencing Method: Mouse expressing a Cre-activated KrasG12D allele inserted into the endogenous Kras locus, and these mice were crossed with mice expressing Cre recombinase in pancreatic tissue by virtue of a PDX-1 promoter-driven transgene. Next a cross between K-rasG12D Pdx-Cre and p16-/- mice, transgenic K-rasG12D Pdx-Cre p16-/- mice were generated harboring tissue specific mutant Kras and p16 deletion resulting in an earlier appearance of PanIN lesions followed by rapid progression into highly invasive and metastatic pancreatic cancers. Results: Transgenic K-rasG12D Pdx-Cre p16-/- mice developed spontaneous- localized, invasive and metastatic pancreatic tumors and transcriptome of these cell models representing localized, invasive and metastatic pancreatic tumors were sequenced. Conclusions: Based on genetic analysis of a same-lineage genetic background cell models, this study identifies a novel molecular pathway underlying the progression of pancreatic cancer disease. This study shows that Intestine Specific Homeobox (ISX) gene is a novel biomarker unique to pancreatic cancer progression. Overall design: By using tumors from K-rasG12D/p16-/- transgenic mice, we generated a spectrum of spontaneous (without immortalization) murine cell models representing localized (HI-Panc-L), invaise (HI-Panc-I) and metastatic (HI-Panc-M) stages. HI-Panc progression model is a valuable tool and by studying gene expression during progression of pancaretic cancer from localised to metaststic stage in a genetically same linaege wll be beneificail for pancartic cancer reaserch.

Publication Title

Characterization of Novel Murine and Human PDAC Cell Models: Identifying the Role of Intestine Specific Homeobox Gene ISX in Hypoxia and Disease Progression.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP095948
Virus Mimicry in the Tumor Microenvironment Activates RIG-I Through Unshielding of Endogenous RNA in Exosomes [patients RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The goal of this study is to investigate if endogenous RNA in exosomes activates RIG-I through unshielding. Overall design: transcription profiling of exosomal RNA isolated from breast cancer patients before, during and after radiation therapy.

Publication Title

Exosome RNA Unshielding Couples Stromal Activation to Pattern Recognition Receptor Signaling in Cancer.

Sample Metadata Fields

Subject

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accession-icon SRP095943
Virus Mimicry in the Tumor Microenvironment Activates RIG-I Through Unshielding of Endogenous RNA in Exosomes [exoRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The goal of this study is to investigate if endogenous RNA in exosomes activates RIG-I through unshielding. Overall design: transcription profiling for exosomal RNA isolated from stroma cell (MRC5) or stroma/breast cancer cell co-culture (MRC5 and 1833).

Publication Title

Exosome RNA Unshielding Couples Stromal Activation to Pattern Recognition Receptor Signaling in Cancer.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE24986
Response of A549 cells treated with Aspergillus fumigatus
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE24984
Response of A549 cells treated with Aspergillus fumigatus [WT-GC_vs_PrtT-GC]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Response of A549 cells treated with Aspergillus fumigatus wild type germinating conidia (WT_GC) or PrtT protease deficient mutant conidia (PrtT-GC) or inert acrylic 2-4 micron beads (Beads) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE24985
Response of A549 cells treated with Aspergillus fumigatus [WT-CF_vs_PrtT-CF]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Response of A549 cells treated with Aspergillus fumigatus wild type culture filtrate (WT-CF) or PrtT protease deficient mutant culture filtrate (PrtT-CF) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE24983
Response of A549 cells treated with Aspergillus fumigatus [WT-CF_vs_WT-GC]
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Response of A549 cells treated with Aspergillus fumigatus germinating conidia (WT-GC) or culture filtrate (WT-CF) for 8h

Publication Title

PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE28044
Expression data from non-malignant fallopian tube epithelium
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Microarrays were used to examine gene expression changes that may be present in the fallopian tube epithelium of morphologically normal BRCA1 mutation positive and negative subjects. Fallopian tube epithelia has been implicated as an early point of origin for serous carcninoma. By examining the early events present in the microenvironment of this tissue between BRCA1 mutation carriers and non-carriers, we hoped to elucidate mechanisms that may lead to the development of epithelial ovarian cancer.

Publication Title

Identification of abrogated pathways in fallopian tube epithelium from BRCA1 mutation carriers.

Sample Metadata Fields

Specimen part

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accession-icon GSE72359
p53 amplifies Toll-like receptor 5 response in MCF-7 cells
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using gene expression profiling we characterize the global effect of p53 on the TLR5-mediated transcription in MCF7 cells. We found that combined activation of p53 and TLR5 pathways synergistically increases expression of over 200 genes, mostly associated with immunity and inflammation. The synergy was observed in several human cancer cells and primary lymphocytes.

Publication Title

p53 amplifies Toll-like receptor 5 response in human primary and cancer cells through interaction with multiple signal transduction pathways.

Sample Metadata Fields

Cell line

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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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