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accession-icon GSE52343
Cdk8, Cyclin C, Med12 or Med13 depletion effect on gene expression in Drosophila S2 cells
  • organism-icon Drosophila melanogaster
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Expression profiling following depletion of Mediator Cdk8 module subunits Cdk8, Cyclin C (CycC), Med12 and Med13 72 hours after dsRNA treatment of Drosophila melanogaster S2 cells. Results provide insight into the role of individual Cdk8 module subunits in regulation of transcription.

Publication Title

Cyclin-dependent kinase 8 module expression profiling reveals requirement of mediator subunits 12 and 13 for transcription of Serpent-dependent innate immunity genes in Drosophila.

Sample Metadata Fields

Specimen part

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accession-icon GSE38588
Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition
  • organism-icon Sus scrofa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

The liver transcriptomes of two female groups (High and Low) with phenotypically extreme intramuscular fatty acid composition were sequenced using RNA-Seq [accn: SRA053452, subid: 86092, Bioproject: PRJNA168072]. A total of 146 and 180 unannotated protein-coding genes were identified in intergenic regions for the L and H groups, respectively. In addition, a range of 5.8 to 7.3% of repetitive elements was found, with SINEs being the most abundant elements. The expression in liver of 186 (L) and 270 (H) lncRNAs was also detected. The higher reproducibility of the RNA-Seq data was validated by RT-qPCR and porcine expression microarrays, therefore showing a strong correlation between RT-qPCR and RNA-Seq data (ranking from 0.79 to 0.96), as well as between microarrays and RNA-Seq (r=0.72). A differential expression analysis between H and L animals identified 55 genes differentially-expressed between groups. Pathways analysis revealed that these genes belong to biological functions, canonical pathways and three gene networks related to lipid and fatty acid metabolism. In concordance with the phenotypic classification, the pathways analysis inferred that linolenic and arachidonic acids metabolism was altered between extreme individuals. In addition, a connection was observed among the top three networks, hence suggesting that these genes are interconnected and play an important role in lipid and fatty acid metabolism.

Publication Title

Liver transcriptome profile in pigs with extreme phenotypes of intramuscular fatty acid composition.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE50513
Identify genes regulated by zip-2 in absence and presence of P. aeruginosa PA14 infection at 4h
  • organism-icon Caenorhabditis elegans
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Very little is known about how animals discriminate pathogens from innocuous microbes. To address this question, we examined infection-response gene induction in the nematode Caenorhabditis elegans. We focused on genes that are induced in C. elegans by infection with the bacterial pathogen Pseudomonas aeruginosa, but are not induced by an isogenic attenuated gacA mutant. Most of these genes are induced independently of known immunity pathways. We generated a GFP reporter for one of these genes, infection response gene 1 (irg-1), which is induced strongly by wild-type P. aeruginosa strain PA14, but not by other C. elegans pathogens or by other wild-type P. aeruginosa strains that are weakly pathogenic to C. elegans. To identify components of the pathway that induces irg-1 in response to infection, we performed an RNA interference screen of C. elegans transcription factors. This screen identified zip-2, a bZIP transcription factor that is required for inducing irg-1, as well as several other genes, and is important for defense against infection by P. aeruginosa. These data indicate that zip-2 is part of a specialized pathogen response pathway that is induced by virulent strains of P. aeruginosa and provides defense against this pathogen.

Publication Title

bZIP transcription factor zip-2 mediates an early response to Pseudomonas aeruginosa infection in Caenorhabditis elegans.

Sample Metadata Fields

Time

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accession-icon GSE71796
Notch Activation Confers Enhanced Lymphoid Potential in Murine ESC/iPSC-derived HSC and Reconstitutes Adaptive Immunity In Vivo
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Engineered Murine HSCs Reconstitute Multi-lineage Hematopoiesis and Adaptive Immunity.

Sample Metadata Fields

Specimen part

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accession-icon SRP062111
Notch Activation Confers Enhanced Lymphoid Potential in Murine ESC/iPSC-derived HSC and Reconstitutes Adaptive Immunity In Vivo [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 305 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500, NextSeq500

Description

Hematopoietic stem cell (HSC) transplantation has the potential to cure blood disorders but is limited by donor availability. Hence innovative approaches to engineer HSC are critically needed. HoxB4 over-expression in mouse embryonic stem cell-derived HSC (ESC-HSC) confers long-term engraftment, yet lacks efficient lymphogenesis. Transcriptome comparison of ESC-HSC versus embryo-derived HSC showed that ESC-HSC are deficient in expression programs activated by Notch. Therefore, we aim to improve ESC-HSC by further providing Notch signals through Notch1 intra-cellular domain transgene activation or by ligand stimulation. Here, we report that Notch-enhanced ESC-HSC (nESC-HSC) confer clonal multipotentiality with robust lymphopoiesis that endows adaptive immunity. Notably, nESC-HSC further evolve to a hybrid cell-type co-expressing gene regulatory networks of hematopoietic stem/progenitor cells and differentiated lineages at single-cell level that accounts for multipotentiality. Our work reveals a proof-of-concept model of HSC engineering by assembling self-renewing factor and lineage-guiding pathway into one product-cell that functionally recapitulate HSC in vivo. Overall design: The gene expression of murine hematopoietic stem cells, ESC, and HSC-like cells derived from differentiation of embryonic stem cells and subsequently transplanted were determined by single cell RNA-Seq.

Publication Title

Engineered Murine HSCs Reconstitute Multi-lineage Hematopoiesis and Adaptive Immunity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE71793
Notch Activation Confers Enhanced Lymphoid Potential in Murine ESC/iPSC-derived HSC and Reconstitutes Adaptive Immunity In Vivo [Microarray expression]
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Hematopoietic stem cell (HSC) transplantation has the potential to cure blood disorders but is limited by donor availability. Hence innovative approaches to engineer HSC are critically needed. HoxB4 over-expression in mouse embryonic stem cell-derived HSC (ESC-HSC) confers long-term engraftment, yet lacks efficient lymphogenesis. Transcriptome comparison of ESC-HSC versus embryo-derived HSC showed that ESC-HSC are deficient in expression programs activated by Notch. Therefore, we aim to improve ESC-HSC by further providing Notch signals through Notch1 intra-cellular domain transgene activation or by ligand stimulation. Here, we report that Notch-enhanced ESC-HSC (nESC-HSC) confer clonal multipotentiality with robust lymphopoiesis that endows adaptive immunity. Notably, nESC-HSC further evolve to a hybrid cell-type co-expressing gene regulatory networks of hematopoietic stem/progenitor cells and differentiated lineages at single-cell level that accounts for multipotentiality. Our work reveals a proof-of-concept model of HSC engineering by assembling self-renewing factor and lineage-guiding pathway into one product-cell that functionally recapitulate HSC in vivo.

Publication Title

Engineered Murine HSCs Reconstitute Multi-lineage Hematopoiesis and Adaptive Immunity.

Sample Metadata Fields

Specimen part

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accession-icon GSE64321
Differential expression of Rice genes upon Rhodotorula treatment
  • organism-icon Oryza sativa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice (Chinese Build) Gene 1.0 ST Array (rcngene10st)

Description

The experiments were performed to understand the molecular basis of plant growth promotion in rice by Rhodotorula mucilaginosa JGTA-S1, an endophytic yeast from Typha angustifolia

Publication Title

Early changes in shoot transcriptome of rice in response to Rhodotorula mucilaginosa JGTA-S1.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon SRP076475
Gene expression by high-throughput sequencing of T47D-MTVL human breast cancer cells upon H1.4 knock-down and multiple H1 variants
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Gene expression of T47D-MTVL human breast cancer cells expressing Dox-inducible shRNAs against histone H1.4 (120sh) or multiple H1 variants (225sh) Overall design: Stable breast cancer-derived cell lines expressing an shRNA against one of each of the histone H1 isoforms in response to doxycycline (Dox) were grown for six days in the presence or absence of Doxicycline, RNA extracted and high-thorughput sequenced. Cell lines used: inducible shRNA against H1.4 or multiple H1 variants and random shRNA-expression vector.

Publication Title

Histone H1 depletion triggers an interferon response in cancer cells via activation of heterochromatic repeats.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP162153
In vivo transcriptomic responses to thioacetamide exposure in rat liver, kidney, and heart tissue
  • organism-icon Rattus norvegicus
  • sample-icon 80 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In this study we tested the ability to predict organ injury from transcriptomics data in Sprague-Dawley rats at early time points after exposure to thioacetmide (8 and 24 hours). We selected thioacetamide, an organosulfur compound extensively used in animal studies as a hepatotoxin and carcinogen for its ability to cause acute liver damage. Overall design: We treated 30 Sprague-Dawley rats with saline solution (control), 25 mg/kg (low dose), and 100 mg/kg (high dose) to produce different degrees of injury. RNA samples for gene expression analysis were collected from the liver, kidney, and heart at 8 and 24 hours. Number of repicates were five.

Publication Title

Concordance between Thioacetamide-Induced Liver Injury in Rat and Human In Vitro Gene Expression Data.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE42934
Usp22 depletion in E14 mouse ESCs
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mouse ESCs depleted of the epigenetic modifying enzyme Usp22 fail to differentiate properly. Ectopic expresison of Usp22 results in spontaneous differnetiation.

Publication Title

The epigenetic modifier ubiquitin-specific protease 22 (USP22) regulates embryonic stem cell differentiation via transcriptional repression of sex-determining region Y-box 2 (SOX2).

Sample Metadata Fields

Cell line, 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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