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accession-icon GSE10798
Transcriptional analysis of the sweet orange interaction with the citrus canker pathogens
  • organism-icon Citrus sinensis
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

We have used the citrus GeneChip array (GPL5731) to survey the transcription profiles of sweet orange in response to the bacterial pathogens Xanthomonas axonopodis pv. citri (Xac) and Xanthomonas axonopodis pv. aurantifolii (Xaa). Xac is the causal agent of the citrus canker disease on a wide range of citrus species, including sweet oranges (Citrus sinensis). On the other hand, Xaa is pathogenic to Mexican lime (Citrus aurantifolia) only, and in sweet orange it triggers a defense response. In order to identify the genes induced during the defense response (Xaa-responsive genes) or citrus canker development (Xac-responsive genes), we conducted microarrays hybridization experiments at 6 and 48 hours after bacterial infiltration (habi). The analysis revealed that genes commonly modulated by Xac and Xaa are associated with basal defenses normally triggered by pathogen-associated molecular patterns, including those involved in reactive oxygen species production and lignification. Significantly, Xac-infected leaves showed considerable changes in the transcriptional profiles of defense-, cell wall-, vesicle trafficking- and cell growth-related genes between 6 and 48 habi. This is consistent with the notion that Xac suppresses host defenses near the beginning of the infection and simultaneously changes the physiological status of the host to promote cell enlargement and division. Finally, Xaa triggered a MAP kinase signaling pathway involving WRKY and ethylene-responsive transcriptional factors known to activate downstream defense genes.

Publication Title

Transcriptional analysis of the sweet orange interaction with the citrus canker pathogens Xanthomonas axonopodis pv. citri and Xanthomonas axonopodis pv. aurantifolii.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE51379
transcriptional changes in sweet orange in response to infection by citrus canker bacteria and their effector proteins PthAs and PthCs
  • organism-icon Citrus sinensis
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of putative TAL effector targets of the citrus canker pathogens shows functional convergence underlying disease development and defense response.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE51368
Sweet orange genes regulated by TAL effectors of Xanthomonas citri (Xc) or Xanthomonas aurantifolii pathotype C
  • organism-icon Citrus sinensis
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

Microarray analyses of sweet orange epicotyls transiently transfected with the pthA2, pthA4 or pthC1 gene, relative to epicotyls transfected with the uid gene (GUS)

Publication Title

Identification of putative TAL effector targets of the citrus canker pathogens shows functional convergence underlying disease development and defense response.

Sample Metadata Fields

Age, Specimen part, Time

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accession-icon GSE51367
Sweet orange genes regulated by Xanthomonas citri (Xc) in the presence or absence of cycloheximide (Ch), or Ch alone
  • organism-icon Citrus sinensis
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Citrus Genome Array (citrus)

Description

Microarray analyses of sweet orange leaves infiltrated with Xc in the presence or absence of Ch, or Ch alone

Publication Title

Identification of putative TAL effector targets of the citrus canker pathogens shows functional convergence underlying disease development and defense response.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE33552
Expression data from MDA-MB-231 cell line treated with Zoledronate, or Fluvastatin, or mock-treated control cells.
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Statins and bisphosponates (BPs) are two distinct classes of isoprenoid pathway inhibitors targeting HMG-CoA reductase (upstream enzyme) and Farnesyl-pyrophospate synthase (downstream enzyme) respectively. Here we conducted a comparative study of two representatives of these classes, fluvastatin (Fluva) and Zoledronate (Zol), to assess the differences in their in vivo metastatic potentials and pharmacogenomic profiles. Both drugs, being administered after emergence of detectable metastases, appeared to be potent metastasis inhibitors in MDA-MB-231 breast cancer metastasis model. We observed a reduced number of metastatic sites under Fluva, but not Zol treatment. Combinatorial in vivo treatment by Fluva and Zol showed no synergy for these drugs, as reported earlier on the basis of in vitro studies (Budman DR, Oncology 2006), staying in line with similarity of their transcriptomic profiles. Comparison of Zol and Fluva transcriptomic profiles revealed similar patterns of affected genes (describe involved genes functions) through different kinetics (when treated with IC50 determined for 72h treatment, the majority of changes were observed after 24h incubation with Fluva , and only after 48h incubation with Zol at 72h-IC50 or after 24h treatment with its 3 times higher dose). We demonstrated here that targeting different enzymes of the same pathway neither necessarily leads to distinct changes in gene profiles, nor to synergy for in vivo anti-metastatic potential.

Publication Title

Transcriptome analysis and in vivo activity of fluvastatin versus zoledronic acid in a murine breast cancer metastasis model.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP043493
Oxymetholone therapy of Fanconi anemia suppresses osteopontin transcription and induces hematopoietic stem cell cycling
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We used Fancd2-/- mice to understand its mechanism of action. Transcriptome analysis of cKit+ Sca1+ Lin- (KSL) cells discovered that only four genes changed their expression levels significantly after chronic OXM administration in both Fancd2-/- and wild-type mice: mKi67 and Cenpf were up-regualted by 1.4 fold; Spp1 and Oasl2 were significantly down-regulated by 10.5 and 1.5 fold, respectively. Both mKi67 and Cenpf genes are cell cycle-regulated genes and proliferation markers. Their up-regulation was consistent with our observation in flow cytometry analysis that oxymetholone stimulated the proliferation of hematopoietic stem and progenitor cells. RNAseq analysis showed no effects on mTert mRNA expression with chronic androgen therapy, but instead suggested down-regulation of Spp1 and Oasl2 as an important mechanism for the drug’s action. Our RNAseq analysis also revealed that Fancd2-/- KSL cells showed clear changes in mRNA expression profiles compared to wild-type controls: 430 genes were down-regulated by more than 1.5 fold, whereas 159 genes were up-regulated. Gene ontology analysis revealed key pathways to be significantly altered in Fancd2-/- KSL cells. Besides the abnormal cell cycle status expected from our earlier flow cytometry analysis, surprisingly we noticed that a group of genes involved in immune responses and inflammation, comprising Cfp (Properdin), Socs2, Ccr1, Ccr2, Ccr5, Chga (Chromogranin A), Ifi30 (Interferon Gamma-Inducible Protein 30), Lgmn, Txn, and Sell (selectin L), were up-regulated in Fancd2-/- KSL cells. We therefore hypothesize that some genes up-regulated in FA HSPCs may be part of an innate immune response to DNA damage. In addition, whole bone marrow cells were also analyzed in parallel with KSL cells. As compared to whole bone marrow cells, the genes enriched in KSL cells in wild-type mice were listed in details in the corresponding publication. This information can be a good resource for the future gene expression analysis of HSPCs. Finally, we compared the gene expression profiles of early progenitors between OXM-treated and placebo-treated mice. There were no significant differences at all in gene expression between OXM-treated wild-type erythroid progenitors and their placebo-treated wild-type counterparts, with no genes displaying an expression change higher than 1.2 fold. Importantly, no up-regulation of EPO-inducible genes such as Socs1, Socs2, Socs3, and Cish was seen in wild-type mice treated with OXM. Furthermore, there was no differential expression of the well-known EPO target transferrin receptor or any other major players of the Epo-R signaling network such as Bcl2l1, Cdc25a, Btg3, Ccnd2, Lyl1, Pim3, and Tnfrsf13c. These results indicate that EPO might not play a role in the action of OXM in the erythroid lineage. Overall design: The goal of this study is to investigate gene expression changes in Fancd2 knockout mice in response to oxymetholone treatment. The study focuses on two bone marrow cell populations: cKit+ Sca1+ Lin- cells (representing hematopoietic stem and progenitor cells) and Ter119+/CD71high/FSChigh cells (representing proerythroblasts and basophilic erythroblasts). Both populations were sorted twice by FACS to ensure the purity. Cells of interest were collected in Trizol and RNA was isolated using RNAeasy mini prep kit. mRNAs were positively selected using oligo(dT)- Dynobeads and treated with DNase I. RNAseq libraries were then constructed using Illumina TruSeq RNA Sample Prep Kit and sequenced as 51 base-length reads on an Illumina HiSeq 2000 genome analyzer. For KSL libraries, each sample represented total mRNA isolated from pooled KSL cells of 5 individual mice; for basophilic erythroblast libraries, each library represented total mRNA isolated from basophilic erythroblasts of one individual mouse; for whole bone marrow libraries, each sample represented a combined library originally from 5 individual mice. All reads were mapped to the mouse reference genome (version mm9) using Bowtie short read aligner software (http://bowtie-bio.sf.net). Most of the data analysis was performed using EdgeR GLM algorithms. For the comparison of oxymetholone KSL libraries vs placebo KSL libraries, more stringent pair-wise comparisons were used to keep a consistent flow cytometric setting among each pair. The common gene list was the one shared by all three comparisons: COM17 vs HSC_101b, HSC_13 vs HSC_18, and HSC_23 vs QZ_35 for Fancd2-/- KSL cells; HSC_3 vs QZ_36, HSC_22 vs HSC_24, and COM15 vs COM16 for wild-type KSL cells. Data-mining and pathway analysis were carried out with the MetaCore integrated software suite (Thomson Reuters, New York, USA).

Publication Title

Oxymetholone therapy of fanconi anemia suppresses osteopontin transcription and induces hematopoietic stem cell cycling.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE64334
PW1/Peg3 expression regulates the key properties that determine mesoangioblast stem cell competence
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mesoangioblasts are vessel-associated progenitor cells that show therapeutic promise for the treatment of muscular dystrophy. Mesoangioblasts have the ability to undergo skeletal muscle differentiation and cross the blood vessel wall regardless of the developmental stage at which they are isolated. Here we show that PW1/Peg3 is expressed at high levels in mesoangioblasts obtained from mouse, dog and human tissues and its level of expression correlates with their myogenic competence. Silencing PW1/Peg3 markedly inhibits myogenic potential of mesoangioblasts in vitro through MyoD degradation. Moreover, lack of PW1/Peg3 abrogates mesoangioblast ability to cross the vessel wall and to engraft into damaged myofibers through the modulation of the junctional adhesion molecule-A. We conclude that PW1/Peg3 function is essential for conferring proper mesoangioblast competence and that the determination of PW1/Peg3 levels in human mesoangioblasts may serve as a biomarker to identify the best donor populations for therapeutic application in muscular dystrophies.

Publication Title

PW1/Peg3 expression regulates key properties that determine mesoangioblast stem cell competence.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE54257
Drug-induced liver injury
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Drug-induced endoplasmic reticulum and oxidative stress responses independently sensitize toward TNFα-mediated hepatotoxicity.

Sample Metadata Fields

Sex, Age, Specimen part, Cell line, Treatment, Subject

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accession-icon GSE54254
Expression data from human hepatocellular carcinoma cell line HepG2
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Drug-induced liver injury (DILI) is an important clinical problem. Here we used a genomics approach to establish the critical drug-induced toxicity pathways that act in synergy with the pro-inflammatory cytokine tumor necrosis factor (TNF) to cause cell death of liver HepG2 cells. Transcriptomics of the cell injury stress response pathways initiated by two hepatoxicants, diclofenac and carbamazepine, revealed the endoplasmic reticulum (ER) stress/translational initiation signaling and Nrf2 antioxidant signaling as two major affected pathways, which was similar to that observed for the majority of ~80 DILI compounds in primary human hepatocytes. The ER stress was primarily related to PERK and ATF4 activation and subsequent expression of CHOP, which was all independent of TNF signaling. Identical ATF4 dependent transcriptional programs were observed in primary human hepatocytes as well as primary precision cut human liver slices. Targeted RNA interference studies revealed that while ER stress signaling through IRE1 and ATF6 acted cytoprotective, activation of the ER stress protein kinase PERK and subsequent expression of CHOP was pivotal for the onset of drug/TNF-induced apoptosis. While inhibition of the Nrf2-dependent adaptive oxidative stress response enhanced the drug/TNF cytotoxicity, Nrf2 signaling did not affect CHOP expression. Both hepatotoxic drugs enhanced expression of the translational initiation factor EIF4A1, which was essential for CHOP expression and drug/TNF-mediated cell killing. Our data support a model in which enhanced drug-induced translation initiates PERK-mediated CHOP signaling in an EIF4A1 dependent manner, thereby sensitizing towards caspase-8-dependent TNF induced apoptosis.

Publication Title

Drug-induced endoplasmic reticulum and oxidative stress responses independently sensitize toward TNFα-mediated hepatotoxicity.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE74514
The isopeptidase inhibitor 2cPE triggers proteotoxic stress and ATM activation in chronic lymphocytic leukemia cells.
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

In this study we investigated changes in gene expression induced by 2cPE (a non-selective isopeptidase inhibitor) in leukemia cells isolated from 10 different patients suffering of B-cell chronic lymphocytic leukemia. We compared 2cPE induced changes in mRNA levels with those induced by bortezomib, another well characterized proteasome inhibitor. Both inhibitors trigger apoptosis in leukemia cells.

Publication Title

The isopeptidase inhibitor 2cPE triggers proteotoxic stress and ATM activation in chronic lymphocytic leukemia cells.

Sample Metadata Fields

Specimen part, Subject

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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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