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accession-icon GSE16333
Phytochrome Interacting Factors 4 and 5 redundantly limit seedling de-etiolation in continuous far-red light.
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Phytochromes are red/far red photosensors regulating numerous developmental programs in plants. Among them phytochrome A (phyA) is essential to enable seedling de-etiolation in continuous far-red (FR) light a condition mimicking the environment under a dense canopy. The ecological relevance of this response is demonstrated by the high mortality rate of phyA mutants germinating in deep vegetational shade. phyA signaling involves a direct interaction of the photoreceptor with members of the bHLH transcription factor family, PIF1 and PIF3 (Phytochrome Interacting Factor). Here we investigated the involvement of PIF4 and PIF5 in phyA signaling and found that they redundantly control de-etiolation in FR light. The pif4pif5 double mutant is hypersensitive to low fluence rates of FR light. This phenotype is dependent on FR light perception by phyA but does not rely on alterations of the phyA level. Our microarrays analysis shows that PIF4 and PIF5 are part of an inhibitory mechanism repressing the expression of some light-responsive genes in the dark and are also needed for full expression of several growth-related genes in the light. Unlike PIF1 and PIF3, PIF4 and PIF5 are not degraded in response to FR light indicating that they are light-regulated by a different mechanism. Our genetic analysis suggests that this is achieved through the sequestration of these PIFs by the closely related bHLH transcription factor HFR1 (long Hypocotyl in FR light).

Publication Title

Phytochrome interacting factors 4 and 5 redundantly limit seedling de-etiolation in continuous far-red light.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE6906
Rhythmic growth explained by coincidence between internal and external cues
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plant hypocotyls elongate in response to darkness. The response to darkness is gated by the circadian clock, such that wild-type plants (Col) only respond to darkness with growth once every 24 hours, whereas arrhythmic lines, such as CCA1-34, will respond to darkness with growth at any time of day. The experiment here was designed to find genes whose expression was correlated with growth. It should also pick up other genes that are gated by the circadian clock or that are direct targets of CCA1.

Publication Title

Rhythmic growth explained by coincidence between internal and external cues.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE87770
R:FR and blue signaling during competition at high plant densities
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Growth in dense stands induces shade avoidance responses. Late stages of stand development lead to low red:far-red (R:FR) and low blue light conditions.

Publication Title

Integration of Phytochrome and Cryptochrome Signals Determines Plant Growth during Competition for Light.

Sample Metadata Fields

Age, Specimen part, Treatment

View Samples
accession-icon GSE35062
Phytochrome Interacting Factors 4 and 5
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Phytochrome interacting factors 4 and 5 control seedling growth in changing light conditions by directly controlling auxin signaling.

Sample Metadata Fields

Age, Specimen part, Treatment

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accession-icon GSE35057
Phytochrome Interacting Factor 4 and 5 regulate different set of genes in high and low red/far-red light
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

As sessile organisms plants developed a veriety of adaptive responses to the ever changing environment. One of these responses is the shade avoidance syndrome which is composed of different responses like elongation growth, hyponastic leafs or early flowering to shade (low R/FR). Phytochrcome Interacting Factor 4 and 5 are bHLH transcription factors reported to activate gene expression upon perception of low R/FR. Using this miroarray experiment we identified new genes regulated by PIF4 and PIF5 in response to shade and investigated their genome wide role.

Publication Title

Phytochrome interacting factors 4 and 5 control seedling growth in changing light conditions by directly controlling auxin signaling.

Sample Metadata Fields

Age, Specimen part, Treatment

View Samples
accession-icon GSE69332
TRIM24 occupancy and TRIM24-dependent gene expression in prostate cancer cells
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

TRIM24 Is an Oncogenic Transcriptional Activator in Prostate Cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE69330
Identification of TRIM24-dependent gene expression programs in prostate cancer cells.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this experiment we are exploring which genes are regulated by TRIM24 in androgen-dependent and castration-resistant prostate cancer cells.

Publication Title

TRIM24 Is an Oncogenic Transcriptional Activator in Prostate Cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP066601
Aggf1 regulates the activation of hepatic stellate cells
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Digital gene expression profiling was used to invesigate the differetiated genes between primary mouse hepatic stellate cells infected with AGGF1 adenovirus particles or negative control adenovirus pairticles. Overall design: Primary hepatic stellate cells isolated from mice were cultured in vitro, infected with AGGF1 adenovirus particles or negative control adenovirus particles, at day 8, total RNA were prepared and used for digital gene expression tag profiling.

Publication Title

Angiogenic factor with G patch and FHA domains 1 (Aggf1) regulates liver fibrosis by modulating TGF-β signaling.

Sample Metadata Fields

Specimen part, Cell line, Subject, Time

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accession-icon GSE71601
Gene and miRNA Expression data from synovium in mouse serum transfer arthritis model (STA) model
  • organism-icon Mus musculus
  • sample-icon 4 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

Synovium-Derived MicroRNAs Regulate Bone Pathways in Rheumatoid Arthritis.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE71599
Gene Expression data from synovium in mouse serum transfer arthritis model (STA) model
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

To find regulated genes during peak inflammation of rheumatoid arthritis (RA), we have collected synovium from mouse Serum Transfer Arthtitis (STA) model at day 0 (Non Arthritic) and day 10 (Peak Inflammation).

Publication Title

Synovium-Derived MicroRNAs Regulate Bone Pathways in Rheumatoid Arthritis.

Sample Metadata Fields

Specimen part, Time

View Samples
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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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