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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 GSE35959
Effects of aging, primary osteoporosis, and cellular senescence on Human Mesenchymal Stem 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

The transcriptional profile of mesenchymal stem cell populations in primary osteoporosis is distinct and shows overexpression of osteogenic inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE35956
Effects of Primary Osteoporosis and Advanced Age on Human Mesenchymal Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the present study we analyzed the effect of primary osteoporosis and advanced donor age on the transcriptome of human mesenchymal stem cells (hMSC; alternatively named mesenchymal stromal cells) from bone marrow. Human MSC of elderly patients suffering from osteoporosis were isolated from femoral heads after low-energy fracture of the femoral neck. Control cells were obtained from bone marrow of femoral heads of middle-aged, non-osteoporotic donors after total hip arthroplasty.

Publication Title

The transcriptional profile of mesenchymal stem cell populations in primary osteoporosis is distinct and shows overexpression of osteogenic inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE35957
Effects of Cellular Senescence on Human Mesenchymal Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the present study we analyzed the effect of cellular senescence on the transcriptome of human mesenchymal stem cells (hMSC; alternatively named mesenchymal stromal cells) from bone marrow. Human MSC were isolated from femoral heads of non-osteoporotic donors after total hip arthroplasty.

Publication Title

The transcriptional profile of mesenchymal stem cell populations in primary osteoporosis is distinct and shows overexpression of osteogenic inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE35958
Effects of Primary Osteoporosis on Human Mesenchymal Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the present study we analyzed the effect of primary osteoporosis on the transcriptome of human mesenchymal stem cells (hMSC; alternatively named mesenchymal stromal cells) from human bone marrow. Human MSC of elderly patients suffering from osteoporosis were isolated from femoral heads after low-energy fracture of the femoral neck. Bone marrow of age-matched, non-osteoporotic donors was obtained of femoral heads after total hip arthroplasty.

Publication Title

The transcriptional profile of mesenchymal stem cell populations in primary osteoporosis is distinct and shows overexpression of osteogenic inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE35955
Effects of aging on Human Mesenchymal Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the present study we analyzed the effect of advanced donor age on the transcriptome of human mesenchymal stem cells (hMSC; alternatively named mesenchymal stromal cells) from bone marrow. Human MSC of elderly and middle-aged patients without symptoms of osteoporosis were isolated from femoral heads after total hip arthroplasty.

Publication Title

The transcriptional profile of mesenchymal stem cell populations in primary osteoporosis is distinct and shows overexpression of osteogenic inhibitors.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE66042
Comparison of Osx+ cells and Ocn+ cells in the bone marrow.
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

We performed gene expression microarray comparing Osx-mCherry cells and Ocn-Topaz cells isolated from the OsxCre-mCherry;OcnCre-Topaz double transgenic mice by flow cytometry.

Publication Title

Specific bone cells produce DLL4 to generate thymus-seeding progenitors from bone marrow.

Sample Metadata Fields

Specimen part

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accession-icon GSE57463
SOX9 overexpression in melanoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

SOX9 is generally not expressed in melanomas with a high proliferative capacity but is expressed in melanomas with a high invasive capacity. Here we overexpress full length SOX9 in M010817, a melanoma cell culture with high proliferative capacity but low invasive capacity.

Publication Title

Methylation-dependent SOX9 expression mediates invasion in human melanoma cells and is a negative prognostic factor in advanced melanoma.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP059066
Combinatorial Regulation Mediated by Biochemically Distinct Forms of SWI/SNF [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The precise makeup of chromatin remodeling complexes is important for determining cell type and cell function. The SWI/SNF chromatin remodeling complex is made up of multiple subunits that can be filled by mutually exclusive proteins. Inclusion or exclusion of these proteins has profound functional consequences, yet we currently understand little about the direct functional relationship between these biochemically distinct forms of remodeling complexes. Here we combine chromatin immunoprecipitation, transcriptome analysis, and transcription factor binding information from the ENCODE project to determine the functional relationship between three biochemically distinct forms of SWI/SNF. We find widespread overlap in transcriptional regulation and the genomic binding of the three ARID (AT-Rich Interacting Domain) subunits of SWI/SNF. Despite the numerous similarities in their transcriptional regulation and the co-factors bound with each ARID we identify several novel interaction modalities. Previous work has found examples of competition or subunit switching at individual loci, and we find this functional relationship is widespread, and in these cases gene expression changes following loss of one ARID depend on the function of another ARID. We also identify a previously unknown cooperative interaction between ARID1B and ARID2 in the repression of a large number of genes. Together these data help untangle the complicated combinatorial relationships between a highly heterogenous chromatin remodeling family. Overall design: We performed depletion of ARID subunits (ARID1A , n=5; ARID1B, n=3, ARID2, n=5) of SWI/SNF using siRNA or a Non-Targeting control (N=6) and performed expression analysis using polyA+ selected RNA and a strand-specific dUTP incorporation library protocol.

Publication Title

Genome-Wide Transcriptional Regulation Mediated by Biochemically Distinct SWI/SNF Complexes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61500
Microarray analysis to evaluate the role of USP18 in primary microglia and the microglia cell line BV-2
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Microglia are tissue macrophages of the central nervous system (CNS) that control tissue homeostasis, and as such they are crucially important for organ integrity. Microglia dysregulation is thought to be causal for a group of neuropsychiatric, neurodegenerative and neuroinflammatory diseases, called microgliopathies. However, how the intracellular stimulation machinery in microglia is controlled is poorly understood. By using expression studies, we identified the ubiquitin-specific protease (Usp) 18 in white matter microglia that essentially contributes to microglial quiescence under homeostatic conditions. We further found that microglial Usp18 negatively regulated the activation of STAT1 and concomitant induction of interferon-induced genes thereby disabling the termination of IFN signalling. Unexpectedly, the Usp18-mediated feedback loop was independent from the catalytic domain of the protease but instead required the interacting region of Ifnar2. Additionally, the absence of Ifnar1 completely rescued microglial activation indicating a tonic IFN signal mediated by receptor interactions under non-diseased conditions. Finally, conditional depletion of Usp18 only in myeloid cells significantly enhanced the disease burden in a mouse model of CNS autoimmunity, increased axonal and myelin damage and determined the spatial distributions of CNS lesions that shared the same STAT1 signature as myeloid cells found in active multiple sclerosis (MS) lesions. These results identify Usp18 as novel negative regulator of microglia activation, demonstrate a protective role of the IFNAR pathway for microglia and establish Usp18 as potential therapeutic target for the treatment of MS.

Publication Title

USP18 lack in microglia causes destructive interferonopathy of the mouse brain.

Sample Metadata Fields

Specimen part

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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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