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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 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 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 GSE16497
Arabidopsis thaliana gene expression changes upon treatment with green peach aphid saliva
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Myzus persicae (green peach aphid) feeding on Arabidopsis thaliana induces a defense response, quantified as reduced aphid progeny production, in infested leaves but not in other parts of the plant. Similarly, infiltration of aphid saliva into Arabidopsis leaves causes only a local increase in aphid resistance. Further characterization of the defense-eliciting salivary components indicates that Arabidopsis recognizes a proteinaceous elicitor with a size between 3 to 10 kD. Genetic analysis using well-characterized Arabidopsis mutant shows that saliva-induced resistance against M. persicae is independent of the known defense signaling pathways involving salicylic acid, jasmonate, and ethylene. Among 78 Arabidopsis genes that were induced by aphid saliva infiltration, 52 had been identified previously as aphid-induced, but few are responsive to the well-known plant defense signaling molecules salicylic acid and jasmonate. Quantitative PCR analysis confirms expression of saliva-induced genes. In particular, expression of a set of O-methyltransferases, which may be involved in the synthesis of aphid-repellent glucosinolates, was significantly up-regulated by both M. persicae feeding and treatment with aphid saliva. However, this did not correlate with increased production of 4-methoxyindol-3-ylmethylglucosinolate, suggesting that aphid salivary components trigger an Arabidopsis defense response that is independent of this aphid-deterrent glucosinolate.

Publication Title

Myzus persicae (green peach aphid) salivary components induce defence responses in Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE58411
Blood Transcriptional Signature of hyperinflammation in HIV-associated Tuberculosis
  • organism-icon Homo sapiens
  • sample-icon 107 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Patients with HIV-associated TB are known to experience systemic hyperinflammation, clinically known as immune reconstitution inflammatory syndrome (IRIS), following the commencement of antiretroviral therapy (ART). No prognostic markers or biomarkers have been identified to date and little is known about the mechanism mediating the hyperinflammation. We recruited a prospective cohort of 63 patients with HIV-associated TB, 33 of whom developed TB-IRIS. Of which transcriptomic profiling was performed using longitudinal whole blood RNA samples from 15 non-IRIS and 17 TB-IRIS patients. Transcriptomic signatures that distinguish patients who would eventually develop IRIS were identified as early as week 0.5 (2-5 days post-ART) and predicted a downstream activation of proinflammatory cytokines. At the peak of IRIS (week 2), transcriptomic signatures were overrepresented by innate receptor signaling pathways including toll-like receptor, IL-1 receptor and TREM-1.

Publication Title

HIV-tuberculosis-associated immune reconstitution inflammatory syndrome is characterized by Toll-like receptor and inflammasome signalling.

Sample Metadata Fields

Specimen part

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accession-icon GSE47965
Environmental factors transmitted by aryl hydrocarbon receptor influence severity of psoriatic skin inflammation
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Activation of the aryl hydrocarbon receptor dampens the severity of inflammatory skin conditions.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, 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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