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accession-icon GSE79681
Global transcriptional analysis reveals unique and shared responses in Arabidopsis thaliana exposed to combined drought and pathogen stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.0 ST Array (aragene10st)

Description

With frequent fluctuations in global climate, plants often experience co-occurring dry-wet cycles and pathogen infection and this combination adversely affects plant survival. In the past, some studies indicated that morpho-physiological responses of plants to the combined stress are different from the individual stressed plants. However, interaction of drought stressed or drought recovered plants with pathogen has not been widely studied at molecular level. Such studies are important to understand the defense pathways that operate as part of combined stress tolerance mechanism. In this study, Arabidopsis plants were exposed to individual drought stress (soil drying at 40% FC, D), Pseudomonas syringae pv tomato DC3000 (PStDC3000), infection and their combination. Plants recovered from drought stress were also exposed to PStDC3000. Beside we have also infiltrated P. syringae pv tabaci (PSta, non-host pathogen) individually or in combination with drought stress. Using Affymetrix WT gene 1.0 ST array, global transcriptome profiling of plants leaves under individual drought stress and pathogen infection was compared with their combination. Results implicate that plants exposed to combined drought and pathogen stress experience a new state of stress where each combination of stressor and their timing defines the plant responses and thus should be studied explicitly.

Publication Title

Global Transcriptional Analysis Reveals Unique and Shared Responses in Arabidopsis thaliana Exposed to Combined Drought and Pathogen Stress.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-3827
Transcription profiling by array of Arabidopsis thaliana to investigate the interaction between glucose and cytokinin signal transduction pathway
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Columbia (Col) seeds were sown on half-strength Murashige and Skoog (MS) medium, supplemented with 1% sucrose and 0.8% agar and grown vertically in culture room conditions. The 5-d-old homogenous seedlings were washed five times with sterile water and lastly with liquid half strength MS medium without sugar to remove residual exogenous sugar. In order to deplete internal sugars seedlings were grown in sugar free liquid half strength MS medium for 24 h in dark. Thereafter, the seedlings were treated with half-strength MS medium containing 0% G, 0% G + 1 uM BAP, 3% G, and 3% G + 1 uM BAP for 3 h in dark. RNA was extracted and microarray analysis was performed. Please note: G stands for glucose and BAP stands for 6-Benzylaminopurine (cytokinin)

Publication Title

No associated publication

Sample Metadata Fields

Age

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accession-icon GSE36964
Expression data from gbf1, gbf1 hy5, and gbf1 hyh mutants
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Three bZIP transcription factors (TFs), namely GBF1, HY5, and HYH, form heterodimers with each other and regulate photomorphogenesis in an interdependent manner. GBF1 acts as both a positive and negative regulator of photomorphogenesis, whereas HY5 and HYH mainly act as positive regulators of photomorphogenesis. To study the effect of HY5 and HYH on GBF1-mediated genome-wide expression, transcript profiling was performed in the gbf1 single mutant and gbf1hy5 and gbf1hyh double mutants. Our study revealed that GBF1 mainly acts antagonistic to HY5 and HYH for genome-wide expression.

Publication Title

Genome-wide DNA binding of GBF1 is modulated by its heterodimerizing protein partners, HY5 and HYH.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE8955
atmyc2_cop1_mutant_light_ABA_treatment
  • organism-icon Arabidopsis thaliana
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Although many regulatory components of light signaling have been functionally characterized, only a few of them have been reported to cross talk with other signaling cascades. In this study, we have analyzed the expression profiles of Arabidopsis genes in wild-type, atmyc2 mutant, cop1-6 mutant, and atmyc2 cop1-6 double mutant seedlings grown under constant dark, constant blue-light, and constant blue-light along with abscisic acid (ABA) to illustrate the interplay of negative regulators, AtMYC2 and COP1, in light and ABA signaling

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-2714
Genome wide analysis of glucose brassinosteroid interaction in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Arabidopsis thaliana seeds after imbibition were inoculated in ½ MS medium supplemented with 0.8% agar and 1% sucrose. Once the plant material was uniformly germinated, the experimental conditions were applied. 5d old light-grown uniformly germinated seedlings were washed seven times with sterile water with last wash given by ½ MS liquid medium without sucrose to remove residual exogenous sugar and the plant material was kept in ½ MS liquid without sucrose in the dark for all subsequent steps. Cultures were shaken at 140 rpm at 22oC for 24 h and then 3 h treatment was given with liquid ½ MS without glucose and liquid ½ MS supplemented with BR (0.1 ?M EBR), glucose (3%), glucose (3%) + BR (0.1 ?M EBR). Seedlings were harvested after 3h and preceded for RNA isolation and Microarray analysis.

Publication Title

Genome wide Analysis of Glucose and Brassinosteroid Signaling Interactions in Arabidopsis thaliana

Sample Metadata Fields

Age, Time

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accession-icon GSE86555
Identification of hypoxia-induced HIF1A targets in melanocytes reveals a molecular profile associated with poor prognosis for melanoma
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Hypoxia-induced HIF1α targets in melanocytes reveal a molecular profile associated with poor melanoma prognosis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE86553
Identification of hypoxia-induced HIF1A targets in melanocytes reveals a molecular profile associated with poor prognosis for melanoma [gene expression]
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

These datasets describe a melanocyte specific, HIF1A-Dependent / Hypoxia-Responsive gene expression signature defined by the regulation of genes critical to metabolism, chromatin and transcriptional regulation, vascularization and cellular invasivness. These genes provide lineage specific targets for refinement of diagnostic markers associated with primary melanoma tumor metastatic potential, and also provides novel molecular targets for therapeutic strategies targeting metastatic disease progression.

Publication Title

Hypoxia-induced HIF1α targets in melanocytes reveal a molecular profile associated with poor melanoma prognosis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE20505
Expression data from CD34+ hematopoietic progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene transfer vectors based on gamma-retroviruses target actively transcribing genes indicating that the cellular gene expression profile can be predictive of their integration pattern. Therefore, different culture conditions leading to different transcriptional activity may translate into differences in the profile of targeted genes in cells transduced with these vectors. Recent data from two gene therapy trials for SCID-X1 conducted in France and the UK suggested that small differences between in vitro stimulation conditions could explain the disparity in the frequency of common integrations sites observed in the two studies.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE61864
Expression data from prostate tumors of TRAMPxPWK/PhJ F2 cross
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

We hypothesize that germline variation influences susceptibility to aggressive prostate tumor

Publication Title

GNL3 and SKA3 are novel prostate cancer metastasis susceptibility genes.

Sample Metadata Fields

Specimen part

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accession-icon GSE53979
Expression data from MDA-MB-231 cells over-expressing RRP1B and MDA-MB-231 control cells with endogenous RRP1B levels
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

RRP1B is a breast cancer metastasis suppressor that interacts with various regulators of gene transcription

Publication Title

Metastasis-associated protein ribosomal RNA processing 1 homolog B (RRP1B) modulates metastasis through regulation of histone methylation.

Sample Metadata Fields

Specimen part, 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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