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accession-icon GSE9605
Target genes of AGAMOUS during early flower development in Arabidopsis
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Floral organs, whose identity is determined by specific combinations of homeotic genes, originate from a group of undifferentiated cells called the floral meristem. In Arabidopsis, the homeotic gene AGAMOUS (AG) terminates meristem activity and promotes development of stamens and carpels.

Publication Title

Transcriptional program controlled by the floral homeotic gene AGAMOUS during early organogenesis.

Sample Metadata Fields

No sample metadata fields

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accession-icon E-MEXP-1138
Transcription profiling of mature pollen grains from wild type and AtMIKC* MADS-box gene knock-out Arabidopsis plants
  • organism-icon Arabidopsis thaliana
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Effects of loss-of-function of AtMIKC* MADS-box genes on the mature Arabidopsis pollen transcriptome.

Publication Title

MADS-complexes regulate transcriptome dynamics during pollen maturation.

Sample Metadata Fields

Age, Specimen part

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accession-icon E-MEXP-809
Transcription profiling of wild type and BOLITA over-expressing Arabidopisis leaves
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Comparison of BOLITA mutant leaves (gain-of-function mutant) vs. wild type leaves, grown in the same conditions. The BOLITA (BOL) gene (At1g24590), an AP2/ERF transcription factor, was characterized with the help of an activation tag mutant and overexpression lines in Arabidopsis and tobacco. The leaf size of plants overexpressing BOL was smaller than wild type plants due to a reduction in both cell size and cell number. Moreover, severe overexpressors showed ectopic callus formation in roots. Accordingly, global gene expression analysis using the overexpression mutant reflected the alterations in cell proliferation, differentiation and growth through expression changes in RBR, CYCD, and TCP genes, as well as genes involved in cell expansion (i.e. expansins and the actin remodeling factor ADF5). Furthermore, the expression of hormone signaling (i.e. auxin and cytokinin), biosynthesis (i.e. ethylene and jasmonic acid) and regulatory genes was found to be perturbed in bol-D mutant leaves. The gene is expressed at the shoot apical meristem, and more intensely at leaf primordia. It is also expressed at very young leaves, and flower buds. The gene is closely related to DORNROSCHEN.

Publication Title

BOLITA, an Arabidopsis AP2/ERF-like transcription factor that affects cell expansion and proliferation/differentiation pathways.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE28810
Genes regulated by has-mir-31 in glioma cell line
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Overexpression of miR-31 inhibits the migration and invasion ability of glioma cell. We sought to obtain the genes regulated by mir-31 in glioma cell line.

Publication Title

Human miR-31 targets radixin and inhibits migration and invasion of glioma cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE50173
Genes regulated by miR-127-3p in glioblastoma cell line
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Overexpression of miR-127-3p in LN229 glioblastoma cells promotes their migration and invasion in vitro and in vivo in xenograft models.

Publication Title

MicroRNA-127-3p promotes glioblastoma cell migration and invasion by targeting the tumor-suppressor gene SEPT7.

Sample Metadata Fields

Cell line

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accession-icon GSE65882
Identification of genes involved with P. aeruginosa biofilms
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65870
Identification of genes involved with P. aeruginosa biofilm antibiotic resistance by microarray analysis
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Microarray analysis was used to identify changes in the level of transcription of genes in P. aeruginosa drip flow biofilms in response to ciprofloxacin and tobramycin exposure. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.

Publication Title

Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65869
Identification of genes induced in P. aeruginosa biofilms by microarray analysis
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Transcriptome analysis was applied to characterize the physiological activities of Psuedomonas aeruginosa cells grown for three days in drip flow biofilm reactors when compared to the activities of P. aeruginosa grown planktonically to exponential phase in the same media. Here, rather than examining the effect of an individual gene on biofilm antibiotic tolerance, we used a transcriptomics approach to identify regulons and groups of related genes that are induced during biofilm growth of Pseudomonas aeruginosa. We then tested for statistically significant overlap between the biofilm-induced genes and independently compiled gene lists corresponding to stress responses and other putative antibiotic protective mechanisms. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.

Publication Title

Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42214
Wheat drought responses
  • organism-icon Triticum aestivum
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

Three wheat genotypes were exposed to water stress and root tissue collected for expression analysis

Publication Title

Introgression of novel traits from a wild wheat relative improves drought adaptation in wheat.

Sample Metadata Fields

Specimen part

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accession-icon GSE22164
Physiology of Pseudomonas aeruginosa in Biofilms Revealed by Comparative Transcriptomic Analysis.
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Abstract: Transcriptome analysis was applied to characterize the physiological activities of Pseudomonas aeruginosa grown for three days in drip-flow biofilm reactors. Conventional applications of transcriptional profiling often compare two paired data sets that differ in a single experimentally controlled variable. In contrast this study obtained the transcriptome of a single biofilm state, ranked transcript signals to make the priorities of the population manifest, and compared rankings for a priori identified physiological marker genes between the biofilm and published data sets.

Publication Title

Physiology of Pseudomonas aeruginosa in biofilms as revealed by transcriptome analysis.

Sample Metadata Fields

Treatment

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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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