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accession-icon SRP090868
Transcriptomic analysis of overexpression lines of MYB63 and MYB63/LAC17
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Overexpression lines of MYB63 and MYB63/LAC17 were generated to test hypotheses of monolignol export. Transcriptomic analysis was performed to characterize the dwarf, monolignol-glucoside containing MYB63-OX lines, as well as the MYB63/LAC17-OX lines.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE17716
Transcription data from Saccharomyces cerevisiae yeast
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Effect of FLO8 or MSS11 deletion and -overexpression on yeast transcript profiles compared to wild type in laboratory yeast strains 1278b and S288c.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29371
Transcription data from Saccharomyces cerevisiae yeast (II)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Effect of either FLO8 or MSS11 deletion and -overexpression on yeast transcript profiles compared to wild type in laboratory yeast strains 1278b and S288c - also the effect of FLO11 (MUC1) overexpression in the 1278b genetic background

Publication Title

Many Saccharomyces cerevisiae Cell Wall Protein Encoding Genes Are Coregulated by Mss11, but Cellular Adhesion Phenotypes Appear Only Flo Protein Dependent.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE60356
Retinoic acid signaling constrains the plasticity of Th1 cells and prevents development of pathogenic Th17 cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Agilent-028005 SurePrint G3 Mouse GE 8x60K Microarray (Probe Name version)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Retinoic acid is essential for Th1 cell lineage stability and prevents transition to a Th17 cell program.

Sample Metadata Fields

Specimen part

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accession-icon GSE99766
MDA-MB-231 gene expression upon IRE1 RNase inhibition with MKC-8866
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The IRE1 Rnase domain has been implicated in the pathology of triple negative breast cancer (TNBC), a disease with limited treatment options. The IRE1 Rnase mediates it's effects on the transcriptome via activation of the trancription factor XBP1s and via direct cleavage of mRNA through a process called RIDD. The processes through which the RNase domain contributes to TNBC is not fully understood.

Publication Title

No associated publication

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE25320
Characterisation of mRNA and microRNA in human mast cell exosomes and their transfer to other mast cells and blood CD34 progenitor cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Exosomes are nanovesicles of endocytic origin believed to be involved in communication between cells. Recently, it has been shown that mast cell exosomes contain RNA named "exosomal shuttle RNA". The aim of this study was to evaluate whether exosomal shuttle RNA could play a role in the communication between human mast cells and between human mast cells and human CD34 positive progenitor cells. Results: Exosomes from the human mast cell line HMC-1 contain RNA. The exosomes contain no or very little ribosomal RNA compared to their donor cells. The mRNA and microRNA content in exosomes and their donor cells was examined using microarray analyses. We found 116 microRNA in the exosomes and 134 microRNA in the cells, from which some were expressed at different level. DNA microarray experiments revealed the presence of approximately 1800 mRNAs in the exosomes, which represent 15% of the donor cell mRNA content. Transfer experiments revealed that exosomes and their RNA can transfer to other HMC-1 cells and to CD34 positive progenitors. Conclusions: To conclude, HMC-1 exosomes contain mRNA and microRNA that can be transferred to other mast cells and to CD34 progenitors. This shuttle of exosomal RNA may represent a powerful mode of communication between cells where cells send genetic information to other cells over a distance via exosomes.

Publication Title

Characterization of mRNA and microRNA in human mast cell-derived exosomes and their transfer to other mast cells and blood CD34 progenitor cells.

Sample Metadata Fields

Cell line

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accession-icon GSE60354
Retinoic acid signaling constrains the plasticity of Th1 cells and prevents development of pathogenic Th17 cells [Affymetrix experiments]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st), Agilent-028005 SurePrint G3 Mouse GE 8x60K Microarray (Probe Name version)

Description

CD4+ T cells differentiate into phenotypically distinct T-helper cells upon antigenic stimulation. Regulation of plasticity between these CD4+ T-cell lineages is critical for immune homeostasis and prevention of autoimmune diseases. However, the factors that regulate lineage stability are largely unknown. Here we investigate a role for retinoic acid (RA) in the regulation of lineage stability using T helper 1 (Th1) cells, traditionally considered the most phenotypically stable Th subset. We found that RA, through its receptor RARa, sustains stable expression of Th1 lineage specifying genes as well as repressing genes that instruct Th17 cell fate. RA signaling is essential for limiting Th1 cell conversion into Th17 effectors and for preventing pathogenic Th17 responses in vivo. Our studies identify RA-RARa as a key component of the regulatory network governing Th1 cell fate and define a new paradigm for the development of pathogenic Th17 cells. These findings have important implications for autoimmune diseases in which dysregulated Th1-Th17 responses are observed.

Publication Title

Retinoic acid is essential for Th1 cell lineage stability and prevents transition to a Th17 cell program.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE68753
Deciphering a functional gene network underlying robustness to protein overproduction
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We systematically investigated the impact of genetic variation and the environment on protein overproduction costs in Saccharomyces cerevisiae

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE29747
Sporisorium reilianum Infection Changes Inflorescence and Branching Architectures of Maize
  • organism-icon Zea mays
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

S. reilianum triggered loss of organ and meristem identity, and loss of meristem determinacy in male and female inflorescences and flowers. Microarray analysis showed that these developmental changes were accompanied with transcriptional regulation of genes proposed to regulate floral organ and meristem identity, and meristem determinacy in maize.

Publication Title

Sporisorium reilianum infection changes inflorescence and branching architectures of maize.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE23367
A non-classical LysR type transcriptional regulator PA2206 is required for an effective oxidative stress response in Pseudomonas aeruginosa.
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

LysR-type transcriptional regulators (LTTRs) are emerging as key circuit components in regulating microbial stress responses and are implicated in modulating oxidative stress in the human opportunistic pathogen Pseudomonas aeruginosa. The oxidative stress response encapsulates several strategies to overcome the deleterious effects of reactive oxygen species. However, many of the regulatory components and associated molecular mechanisms underpinning this key adaptive response remain to be characterised. Comparative analysis of publically available transcriptomic datasets led to the identification of a novel LTTR, PA2206, whose expression was altered in response to a range of host signals in addition to oxidative stress. PA2206 was found to be required for tolerance to H2O2 in vitro and lethality in vivo in the Zebrafish embryo model of infection. Transcriptomic analysis in the presence of H2O2 showed that PA2206 altered the expression of 58 genes, including a large repertoire of oxidative stress and iron responsive genes, independent of the master regulator of oxidative stress, OxyR. Contrary to the classic mechanism of LysR regulation, PA2206 did not autoregulate its own expression and did not influence expression of adjacent or divergently transcribed genes. The PA2214-15 operon was identified as a direct target of PA2206 with truncated promoter fragments revealing binding to the 5-ATTGCCTGGGGTTAT-3 LysR box adjacent to the predicted -35 region. PA2206 also interacted with the pvdS promoter suggesting a global dimension to the PA2206 regulon, and suggests PA2206 is an important regulatory component of P. aeruginosa adaptation during oxidative stress.

Publication Title

A non-classical LysR-type transcriptional regulator PA2206 is required for an effective oxidative stress response in Pseudomonas aeruginosa.

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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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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