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accession-icon GSE54232
Histone H3 Acetylation and microRNA(s) Regulate Inflammatory response in Mastitis Mice, induced by Staphylococcus aureus Infection
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic response in mice mastitis: Role of histone H3 acetylation and microRNA(s) in the regulation of host inflammatory gene expression during Staphylococcus aureus infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE54230
Histone H3 Acetylation and microRNA(s) Regulate Inflammatory response in Mastitis Mice, induced by Staphylococcus aureus Infection [Microarray]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Bacterial infection in the mammary gland parenchyma induces local inflammation that can lead to a multietiological complex disease called mastitis. Globally Staphylococcus aureus is the single largest mastitis pathogen and the infection can ultimately result in either subclinical or chronic and sometimes lifelong infection. In the present report we have addressed the differential inflammatory response in the mice mammary tissue during intramammary infection and the altered epigenetic context induced by two closely related strains of S. aureus. Immunohistochemical and immunoblot analysis showed strain specific hyperacetylation at histone H3K9 and H3K14 residues. Real-time PCR and genome-wide gene expression studied showed expression of a set of proinflammatory genes and cytokines in a temporal manner. Remarkably, over expression of the genes significantly correlated with the promoter specific acetylation in these residues. Furthermore, we have identified several differentially expressed known miRNAs and 4 novel miRNAs in the S. aureus infected mice mammary tissue by small RNA sequencing. By employing these gene expression data, an attempt has been made to delineate the gene regulatory networks in the strain specific inflammatory response. Apparently, one of the isolates of S. aureus activated the NFkB signaling leading to drastic inflammatory response and induction of immune surveillance, which could lead to rapid clearance of the pathogen. The other strain repressed most of the inflammatory response, which might help in its sustenance in the host tissue. Taken together, our studies shed substantial lights to understand the mechanisms of strain specific differential inflammatory response to S. aureus infection during mastitis.

Publication Title

Epigenetic response in mice mastitis: Role of histone H3 acetylation and microRNA(s) in the regulation of host inflammatory gene expression during Staphylococcus aureus infection.

Sample Metadata Fields

Specimen part

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accession-icon GSE37557
Gene expression analysis in response to various hormone treatments
  • organism-icon Oryza sativa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Hormones effect various plant developmental processes by altering gene expression. The expression of several genes is regulated by plant hormones and many of these genes are regulated commonly and specifically by various hormones.

Publication Title

Microarray analysis reveals overlapping and specific transcriptional responses to different plant hormones in rice.

Sample Metadata Fields

Specimen part

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accession-icon GSE41963
Gene expression analysis in wild-type and OsGRX8 overexpression line in response to various treatments
  • organism-icon Arabidopsis thaliana
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Glutaredoxins (GRXs) are the ubiquitous oxidoreductase enzymes, which play important role in defense against various stresses. To analyze the function of a CC-type rice GRX gene, OsGRX8, we overexpressed it into Arabidopsis constitutively. The physiological analyses revealed that overexpression of GRX gene enhanced abiotic stress tolerance in transgenic plants as compared to wild-type.

Publication Title

Modified expression of an auxin-responsive rice CC-type glutaredoxin gene affects multiple abiotic stress responses.

Sample Metadata Fields

Specimen part

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accession-icon GSE79212
Gene expression analysis in wild-type and OsHOX24 rice overexpression line under control and drought stress conditions
  • organism-icon Oryza sativa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice (US) Gene 1.0 ST Array (rusgene10st)

Description

Several homeobox genes belonging to HD-ZIP I subfamily are highly induced by drought stress at various developmental stages in rice. To analyze the role of a candidate HD-ZIP I subfamily member, OsHOX24, we constitutively overexpressed it in rice. The physiological analyses revealed that overexpression of OsHOX24 gene reduced drought stress tolerance in transgenic plants as compared to wild-type.

Publication Title

Over-Expression of <i>OsHOX24</i> Confers Enhanced Susceptibility to Abiotic Stresses in Transgenic Rice via Modulating Stress-Responsive Gene Expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE28412
Analyzing the metabolic stress response of recombinant Escherichia coli cultures expressing human interferon beta in high cell density fed batch cultures using time course transcriptomic data
  • organism-icon Escherichia coli
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

Over expression of recombinant proteins is known to cause a metabolic burden to the host cells which leads to down regulation of both growth rates and protein expression. Most studies in this regard have been conducted in low density shake flask cultures which does not capture the essential features of an industrial scale bioprocess. In the present work we studied the transcriptomic profiling at different specific growth rates while expressing the recombinant human interferon beta in fed batch cultures with complex media. These conditions mimicked the industrial fermentations for recombinant proteins.

Publication Title

Comparative transcriptomic profile analysis of fed-batch cultures expressing different recombinant proteins in Escherichia coli.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE29486
Uncoupling growth and product formation kinetics to design improved strains for recombinant protein production in escherichia coli
  • organism-icon Escherichia coli
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

The ability to control the synthesis of products in the absence of cell division remains an attractive alternative for the optimization of microbial processes. If this could be achieved, it would dramatically expand the productivity of many microbial processes by increasing product synthesis in the absence of an increase in cell mass. In the present work we have looked at the factors involved in the design of a host where the fluxes would be channeled towards product formation rather than biomass synthesis. To identify the genes responsible for diverting the metabolic flux specifically towards product formation we have used for this study is quiescent-cell (Q-cell) expression system, in which a plasmid-encoded protein is expressed in nongrowing but metabolically active cells. These cells channel the metabolic flux towards recombinant protein production and therefore the specific product yield per unit biomass is significantly higher. Indole which is previously known to be a signalling molecule is here used as an inducer of Quiescence. E.coli L-Asparaginase is used as a model protein in this work.

Publication Title

No associated publication

Sample Metadata Fields

Treatment

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accession-icon GSE19833
Analysis of microRNA transcriptome by deep sequencing of small RNA libraries of peripheral blood
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Analysis of microRNA transcriptome by deep sequencing of small RNA libraries of peripheral blood.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE5465
Gene expression in wild-type and transgenic plants overexpressing rice topoisomerase6 genes
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

10-day-old wild-type and homozygous transgenic Arabidopsis seedlings (overexpressing OsTOP6A3 and OsTOP6B) grown under normal growth conditions were used for total RNA isolation. The 5 micrograms of each total RNA sample was processed for microarray analysis according to Affymetrix protocol.

Publication Title

Overexpression of putative topoisomerase 6 genes from rice confers stress tolerance in transgenic Arabidopsis plants.

Sample Metadata Fields

Specimen part

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accession-icon GSE6812
Gene expression in wild-type and transgenic plants overexpressing rice OsTOP6A1 gene
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

10-day-old wild-type and homozygous transgenic Arabidopsis seedlings (overexpressing rice topoisomerase 6 subunit A1; OsTOP6A1) grown under normal growth conditions were used for total RNA isolation. The 5 micrograms of each total RNA sample was processed for microarray analysis according to Affymetrix protocol.

Publication Title

Constitutive expression of a meiotic recombination protein gene homolog, OsTOP6A1, from rice confers abiotic stress tolerance in transgenic Arabidopsis plants.

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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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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