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accession-icon GSE103117
Genome-wide analysis of bacterial determinants of plant growth promotion and induced systemic resistance by Pseudomonas fluorescens
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Pseudomonas fluorescens strain SS101 (Pf.SS101) promotes growth of Arabidopsis thaliana, enhances greening and lateral root formation, and induces systemic resistance (ISR) against the bacterial pathogen Pseudomonas syringae pv. tomato (Pst). Here, targeted and untargeted approaches were adopted to identify bacterial determinants and underlying mechanisms involved in plant growth promotion and ISR by Pf.SS101. Based on targeted analyses, no evidence was found for volatiles, lipopeptides and siderophores in plant growth promotion by Pf.SS101. Untargeted, genome-wide analyses of 7,488 random transposon mutants of Pf.SS101 led to the identification of 21 mutants defective in both plant growth promotion and ISR. Many of these mutants, however, were auxotrophic and impaired in root colonization. Genetic analysis of three mutants followed by site-directed mutagenesis, genetic complementation and plant bioassays revealed the involvement of the phosphogluconate dehydratase gene edd, the response regulator gene colR and the adenylsulfate reductase gene cysH in both plant growth promotion and ISR. Subsequent comparative plant transcriptomics analyses strongly suggest that modulation of sulfur assimilation, auxin biosynthesis and transport, steroid biosynthesis and carbohydrate metabolism in Arabidopsis are key mechanisms linked to growth promotion and ISR by Pf.SS101.

Publication Title

Genome-wide analysis of bacterial determinants of plant growth promotion and induced systemic resistance by Pseudomonas fluorescens.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE79372
Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients
  • organism-icon Homo sapiens
  • sample-icon 98 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients.

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon GSE79368
Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients [mRNA expression]
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Purpose: Predominant causes of head and neck cancer recurrence after radiotherapy are rapid repopulation, hypoxia, fraction of cancer stem cells and intrinsic radioresistance. Currently, intrinsic radioresistance can only be assessed by ex-vivo colony assays. Besides being time-consuming, colony assays do not identify causes of intrinsic resistance. We aimed to identify a biomarker for intrinsic radioresistance to be used before start of treatment and to reveal biological processes that could be targeted to overcome intrinsic resistance.

Publication Title

Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE79371
Pretreatment microRNA expression impacting on epithelial to mesenchymal transition predicts intrinsic radiosensitivity in head and neck cancer cell lines and patients [FaDu]
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Purpose: Predominant causes of head and neck cancer recurrence after radiotherapy are rapid repopulation, hypoxia, fraction of cancer stem cells and intrinsic radioresistance. Currently, intrinsic radioresistance can only be assessed by ex-vivo colony assays. Besides being time-consuming, colony assays do not identify causes of intrinsic resistance. We aimed to identify a biomarker for intrinsic radioresistance to be used before start of treatment and to reveal biological processes that could be targeted to overcome intrinsic resistance.

Publication Title

Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients.

Sample Metadata Fields

Specimen part

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accession-icon GSE20076
BRD7 is a candidate tumour suppressor gene required for p53 function
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

Oncogene-induced senescence (OIS) is a p53-dependent defence mechanism against uncontrolled proliferation. Consequently, many human tumours harbour p53 mutations while others show a dysfunctional p53 pathway, frequently by unknown mechanisms. We identified BRD7, a bromodomain-containing protein whose inhibition allows full neoplastic transformation in the presence of wild-type p53. Intriguingly, in human breast tumours harbouring wild-type, but not mutant p53, the BRD7 gene locus was frequently deleted and low BRD7 expression was found in a subgroup of tumours. Functionally, BRD7 is required for efficient p53-mediated transcription of a subset of target genes. BRD7 interacts with p53 and p300, and is recruited to target gene promoters, affecting histone acetylation, p53 acetylation, and promoter activity. Thus, BRD7 suppresses tumourigenicity by serving as a p53 cofactor required for efficient induction of p53-dependent OIS.

Publication Title

BRD7 is a candidate tumour suppressor gene required for p53 function.

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon GSE14627
Gene expression analysis of SH-SY5Y neuroblastoma cells overexpressing ZNF423
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

We have identified ZNF423 (also known as Ebfaz, OAZ or Zfp423) as a component critically required for retinoic acid (RA)-induced differentiation. ZNF423 associates with the RAR/RXR nuclear receptor complex and is essential for transactivation in response to retinoids. Down-regulation of ZNF423 expression by RNA interference in neuroblastoma cells results in a growth advantage and resistance to RA-induced differentiation, whereas overexpression of ZNF423 leads to growth inhibition and enhanced differentiation. Futhermore, we show that low ZNF423 expression is associated with poor disease outcome of neuroblastoma patients. To identify the other key pathways regulated by ZNF423 in human neuroblastoma, we expressed elevated levels of ZNF423 in SH-SY5Y cells and performed full genome gene expression analysis in these cells.

Publication Title

ZNF423 is critically required for retinoic acid-induced differentiation and is a marker of neuroblastoma outcome.

Sample Metadata Fields

Specimen part

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accession-icon GSE29967
Expression data from rice after brown planthopper attack
  • organism-icon Oryza sativa
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

The aim of this study was to analyze potential brown planthopper (BPH) resistant genes in Rathu Heenati (RHT) by Affymetrix whole rice genome array,BPH susceptible and resistant rice varieties of TN1Taichung Native 1as control. All the resistant related genes derived from RHT will be analyzed according to the SSR markers interval flanked on the chromosome 3, 4, 6 and 10. It will be benefit to the gene clone and marker assistant breeding for Bph3 gene in the near future.

Publication Title

Microarray analysis of broad-spectrum resistance derived from an indica cultivar Rathu Heenati.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE43937
Global gene expression profiles of Arabidopsis thaliana wild type Columbia-0 and mutant er-105 in responses to 40 treatment
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Global warming seriously threats world food supply. However, very few approaches have succeeded in genetically enhancing crop heat tolerance without growth penalty.

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE6556
Expression profiling of A. thaliana wild type Columbia-0 and mutant gh3.5-1D in response to pathogen Pst DC3000(avrRpt2)
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

To reveal the underlying molecular mechanism of GH3.5 action in modulating the SA and auxin pathways, we performed transcriptional profiling of gh3.5-1D plants after infection with or without Pst DC3000(avrRpt2) on a global scale using the Affymetrix Arabidopsis ATH1 GeneChip

Publication Title

Dual regulation role of GH3.5 in salicylic acid and auxin signaling during Arabidopsis-Pseudomonas syringae interaction.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE9498
Global gene expression profiles of Oryza sativa wild type Zhonghua11 and mutant gif1 in filling stage
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

To reveal the underlying molecular mechanism of Gif1 action in the control of grain filling and yield improvement, we performed transcriptional profiling of wild type Zhonghua11 and mutant gif1 plants in early filling stage on a global scale using the Affymetrix GeneChip Rice Genome Array

Publication Title

Control of rice grain-filling and yield by a gene with a potential signature of domestication.

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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