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accession-icon GSE57674
siPools: highly complex but accurately defined siRNA pools eliminate Off-target effects
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

siPools: highly complex but accurately defined siRNA pools eliminate off-target effects.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE57667
siPools: highly complex but accurately defined siRNA pools eliminate Off-target effects (HuGene-1_0 ENST)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Short interfering RNAs (siRNA) are widely used as tool for gene inactivation in basic research and therapeutic applications. One of the major shortcomings of siRNA experiments are sequence-specific Off-target effects. Such effects are largely unpredictable because siRNAs can affect partially complementary sequences and function like microRNAs (miRNAs), which inhibit gene expression on mRNA stability or translational levels.

Publication Title

siPools: highly complex but accurately defined siRNA pools eliminate off-target effects.

Sample Metadata Fields

Cell line

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accession-icon GSE11281
Expression data from human PBMCs treated for 6h with the staphylococcal superantigens SEB and SEI
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The species Staphylococcus (S.) aureus harbors 19 superantigen gene loci, six of which are located in the enterotoxin gene cluster (egc). While these egc superantigens are far more prevalent in clinical S. aureus isolates than non-egc superantigens, they are not a prominent cause of toxic shock. Moreover, neutralizing antibodies against egc superantigens are very rare, even among carriers of egc-positive S. aureus strains. In search of an explanation we have tested two non-exclusive hypotheses: 1) egc and non-egc superantigens have unique intrinsic properties and drive the immune system into different directions; 2) egc and non-egc-superantigens are released by S. aureus under different conditions, which shape the immune response.

Publication Title

Immune cell activation by enterotoxin gene cluster (egc)-encoded and non-egc superantigens from Staphylococcus aureus.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE52748
Increased expression of c-Jun in nonalcoholic fatty liver disease
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Background & Aims: Overnutrition is one of the major causes of non-alcoholic fatty liver disease (NAFLD) and its advanced form non-alcoholic steatohepatitis (NASH). Besides the quantity of consumed calories, distinct dietary components are increasingly recognized as important contributor to the pathogenesis of NASH. We aimed to develop and characterize a hitherto missing murine model which resembles both the pathology and nutritional situation of NASH-patients in Western societies.

Publication Title

Increased expression of c-Jun in nonalcoholic fatty liver disease.

Sample Metadata Fields

Age, Specimen part, Treatment

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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

View Samples
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

View Samples
accession-icon GSE10696
Expression analysis in A431_wt vs A431_GR cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A431 wild-type (wt) cancer cell line is sensitive to treatment with EGFR tyrosine kinase inhibitors (TKIs). By culturing it chronically under gefitinib, it eventually becomes resistant (A431_GR cell). We know of a few proteins involved in this mechanism of drug resistance, but a cDNA exprssion array would add information to other genes that might be involved in this resistance mechanism.

Publication Title

Acquired resistance to EGFR tyrosine kinase inhibitors in cancer cells is mediated by loss of IGF-binding proteins.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE104819
Pseudomonas aeruginosa response to potable (tap) water and freshwater from a pond
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa is a common bacterium in the terminal plumbing system of buildings and it is from this niche that a substantial fraction of infections are acquired. To better understand P. aeruginosa biology in this environment, we examined the transcriptomes in tap water and pond water.

Publication Title

Transcriptional Responses of Pseudomonas aeruginosa to Potable Water and Freshwater.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE51212
Whole transcriptome analysis of erlotinib treatment in EGFR-mutant cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We were interested in characterizing the transcriptional changes that occur on a genome-wide scale following treatment of EGFR-mutant lung cancer cells with targeted therapies.

Publication Title

Inhibition of mutant EGFR in lung cancer cells triggers SOX2-FOXO6-dependent survival pathways.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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