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accession-icon SRP055876
Helminth-induced arginase-1 exacerbates lung inflammation and disease severity in tuberculosis.  
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We analyzed gene expression in CD4+ cells sorted from naïve or D30 Mycobacterium tuberculosis-infected mice and incubated in vitro in the presence or absence of Schistosoma egg antigen. We found genes associated with Th1 function, T cell signaling, T cell costimulation and T cell activation were downregulated in SEA-treated cells, while expression of Th2 cytokines was below the threshold for detection. Overall design: RNAseq results for 3 replicates for naïve or CD4+ T cells from M.tuberculosis-infected mice treated with or without Schistosoma egg antigen in vitro.

Publication Title

Helminth-induced arginase-1 exacerbates lung inflammation and disease severity in tuberculosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP150047
Macrophage responses to MDR M.tuberculosis infection
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

The emergence of multidrug resistant (MDR) Mycobacterium tuberculosis (Mtb) strains, resistant to the frontline anti-tubercular drugs rifampicin and isoniazid, forces treatment with less effective and toxic second-line drugs and stands to derail TB control efforts. However, the immune response to MDR Mtb infection remains poorly understood. Here, we determined the RNA transcriptional profile of in vitro generated macrophages to infection with either drug susceptible Mtb HN878 or MDR Mtb W_7642 infection. Overall design: Bone marrow-derived macrophages (BMDMs) from WT and Il1r1–/– mice were derived in 7 days in GM-CSF supplemented complete DMEM. Cells were infected with either Mtb HN878 or Mtb W_7642 (multiplicity of infection = 1) and RNA samples collected after 6 days.

Publication Title

Mycobacterium tuberculosis carrying a rifampicin drug resistance mutation reprograms macrophage metabolism through cell wall lipid changes.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP021517
Gene Expression Analysis of Zebrafish Melanocytes, Iridophores, and Retinal Pigmented Epithelium Reveals Indicators of Biological Function and Developmental Origin
  • organism-icon Danio rerio
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000, IlluminaGenomeAnalyzerIIx

Description

In order to facilitate understanding of pigment cell biology, we developed a method to concomitantly purify melanocytes, iridophores, and retinal pigmented epithelium from zebrafish, and analyzed their transcriptomes. Comparing expression data from these cell types and whole embryos allowed us to reveal gene expression co-enrichment in melanocytes and retinal pigmented epithelium, as well as in melanocytes and iridophores. We found 214 genes co-enriched in melanocytes and retinal pigmented epithelium, indicating the shared functions of melanin-producing cells. We found 62 genes significantly co-enriched in melanocytes and iridophores, illustrative of their shared developmental origins from the neural crest. This is also the first analysis of the iridophore transcriptome. Gene expression analysis for iridophores revealed extensive enrichment of specific enzymes to coordinate production of their guanine-based reflective pigment. We speculate the coordinated upregulation of specific enzymes from several metabolic pathways recycles the rate-limiting substrate for purine synthesis, phosphoribosyl pyrophosphate, thus constituting a guanine cycle. The purification procedure and expression analysis described here, along with the accompanying transcriptome-wide expression data, provide the first mRNA sequencing data for multiple purified zebrafish pigment cell types, and will be a useful resource for further studies of pigment cell biology. Overall design: mRNA profiles of zebrafish pigment cells were generated using Illumina GAIIX sequencing

Publication Title

Gene expression analysis of zebrafish melanocytes, iridophores, and retinal pigmented epithelium reveals indicators of biological function and developmental origin.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP132263
RNA-seq analysis of BAP1-depleted uveal melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

OCM-1A uveal melanoma cells were infected with lentivirus carrying shRNA expression constructs specific for BAP1 or GFP (control), and placed under selection for 6 days. RNA-seq was performed. Overall design: Samples represent three independent experiments treated with control or BAP1 shRNA

Publication Title

Transposase mapping identifies the genomic targets of BAP1 in uveal melanoma.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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accession-icon GSE81440
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

To investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis.

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Age, Specimen part, Cell line

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accession-icon GSE69214
Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models
  • organism-icon Mus musculus
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE69211
Predicting drug response in human prostate cancer from preclinical analysis of in vivo mouse models (I)
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Analysis of the transcriptome of mouse models of prostate cancer after treatment with rapamycin and PD0325901 combination therapy or standard of care docetaxel. The Nkx3.1CreERT2/+; Ptenflox/flox; KrasLSL-G12D/+ (NPK mice) was used in this study. Two months after tumor induction, mice were randomly assigned to vehicle (Veh) or treatments groups, such as rapamycin and PD0325901 (RAPPD) or docetaxel (Docetaxel). For the treatment groups mice were administered rapamycin (10 mg/kg) and PD0325901 (10 mg/kg) or docetaxel (10 mg/kg) for 5 days (SHORT) or for 1 month (LONG). At the end of the treatment, mice were euthanized, tumors harvested and snap frozen for subsequent molecular analysis.

Publication Title

Predicting Drug Response in Human Prostate Cancer from Preclinical Analysis of In Vivo Mouse Models.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP075116
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation (Mouse_Recomb_RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of transcriptome of tissue recombinants (mouse seminal vesicle epithelial [SVE] cells or prostate epithelial [PE] cells, and rat urogenital sinus [UGS] mesenchymal cells) grown under the kidney capsule in athymic nude mice for 3 months. Overall design: Total RNA obtained from tissue recombinants generated from combining engineered mouse epithelial cells (SVE or PE from 2-month-old C57Bl/6J mice) and rat UGS mesenchymal cells. Tissue recombinants were harvested and processed for RNA isolation and transcriptome analysis using the RNeasy kit (Qiagen).

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE71274
IFNg+ vs IFNg- Treg
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression studies comparing IFNg+ Tregs versus IFNg- Tregs from human peripheral blood

Publication Title

AKT isoforms modulate Th1-like Treg generation and function in human autoimmune disease.

Sample Metadata Fields

Specimen part

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accession-icon SRP075117
Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation (Human_RWPE1_RNA-Seq)
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Analysis of transcriptome of human RWPE1 cells over-expressing wild type NKX3.1 and mutant NKX3.1 (T164A). Overall design: Total RNA obtained from RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression. Engineered RWPE1 cells were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion).

Publication Title

Identification of an NKX3.1-G9a-UTY transcriptional regulatory network that controls prostate differentiation.

Sample Metadata Fields

Cell line, Subject

View Samples
...

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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