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accession-icon GSE31938
Hypothalamus
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

These arrays contain data from hypthalamus tissue of nestin-Pex5 -/- male mice

Publication Title

Peroxisome deficiency but not the defect in ether lipid synthesis causes activation of the innate immune system and axonal loss in the central nervous system.

Sample Metadata Fields

Specimen part

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accession-icon SRP067392
Combination scaffolds of salmon fibrin, hyaluronic acid, and laminin for human neural stem cell tissue engineering
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

A goal of this project is to evaluate the integrin mRNA expression in human neural stem/progenitor cells (hNSPC) using high-throughput sequencing technologies. We found high levels of mRNA expression for the ß1, a7, a3, a6, ß5, aV, a5, and a9 integrins. This suggests that hNSPCs may express integrin receptors that can bind fibrinogen and laminin proteins. Overall design: mRNA profiles of hNSPCs from three different passages (12, 15, and 17) were generated by deep sequencing using Illumina HiSeq 2500.

Publication Title

Combination scaffolds of salmon fibrin, hyaluronic acid, and laminin for human neural stem cell and vascular tissue engineering.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP103790
Opposing roles of Toll-like receptor and cytosolic DNA-STING signaling pathways for Staphylococcus aureus cutaneous host defense
  • organism-icon Mus musculus
  • sample-icon 68 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Successful host defense against pathogens requires innate immune recognition of the correct pathogen associated molecular patterns (PAMPs) by pathogen recognition receptors (PRRs) to trigger the appropriate gene program tailored to the pathogen. While many PRR pathways have been shown to contribute to the innate immune response to specific pathogens, the relative importance of each pathway for the complete transcriptional program elicited has not been examined in detail. Herein, we used RNA-sequencing with wildtype and mutant macrophages to delineate the innate immune pathways responsible for the early transcriptional response to Staphylococcus aureus, a ubiquitous microorganism that can activate a wide variety of PRRs. Unexpectedly, only two PRR pathways – the Toll-like receptor (TLR) and Stimulator of Interferon Gene (STING) pathways - were identified as dominant regulators of approximately 95% of the genes that were potently induced within the first four hours of macrophage infection with live S. aureus. TLR signaling predominantly activated an inflammatory program, STING signaling activated an antiviral/type I interferon response, and both pathways contributed to a program linking innate and adaptive immunity. Only a small number of genes were induced in the absence of TLR or STING signaling, and these genes possessed a strong hypoxia signature. STING pathway activation required live S. aureus and was largely dependent on the DNA sensor cyclic guanosine-adenosine synthase (cGAS) recognition of S. aureus DNA. Interestingly, using a cutaneous infection model, we found that the TLR and STING pathways played opposite roles in host defense to S. aureus, with TLR signaling being required for protective interleukin (IL)-1? and neutrophil recruitment and STING signaling having an opposite effect. These results provide novel insights into the complex interplay of innate immune signaling pathways triggered byS. aureus and uncover opposing roles of TLR and STING in cutaneous host defense to S. aureus. Overall design: Files are labeled according to the figures in which they were used. Note, that many data files were used in multiple figures or figure panels. Files are labeled by genotype of macrophages (WT=wildtype; KO= StingGt/Gt; DKO=MyD88-/-TRIF-/-) and whether the macrophages were treated with live (Live) or heat killed (HK) or uninfected (zero hour). Labeling of time points is in the order of "minutes_replicate #." For example, "WT_HK_30_2" indicates that this is wild type mouse macrophages stimulated with heat killed bacteria at the 30-minute time point and is replicate number 2. Reads were converted into RPKM, and the RPKM for all replicates listed for a given time point were averaged to obtain the average RPKM that was used for figures and analyses. For samples listed as contributing to either figure 3 or supplemental figure 2, the replicates that do NOT end in either KO_analysis nor DKO analysis were used to determine induced genes in wild type macrophages. In contrast, the replicates that end in KO_analysis or DKO_analysis were used to determine dependence on either STING signaling or MyD88/TRIF signaling, respectively. If a replicate was used in the STING or MyD88/TRIF dependence analysis for both live and heat-killed S. aureus, "live_and_hk" was added after the dependence analysis it contributed to. Some 0h samples were used in both live and heat-killed analyses.

Publication Title

Opposing roles of Toll-like receptor and cytosolic DNA-STING signaling pathways for Staphylococcus aureus cutaneous host defense.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE32592
Human and mouse lupus nephritis cross-species transcriptional analysis
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), (ffymetrixgenechipmousegenome4302.0array[cdf:mmentrezg10)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE37463
Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis
  • organism-icon Homo sapiens
  • sample-icon 110 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

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE32591
Expression data from human with lupus nephritis (LN)
  • organism-icon Homo sapiens
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), (ffymetrixgenechipmousegenome4302.0array[cdf:mmentrezg10)

Description

Nephritis (LN) is a serious manifestation of SLE. Therapeutic studies in mouse LN models do not always predict outcomes of human therapeutic trials, raising concerns about the human relevance of these models. In this study we used an unbiased transcriptional network approach to define similarities and differences between three lupus models and human LN. Affymetrix-based expression profiles were analyzed using Genomatix Bibliosphere software and transcriptional networks were compared using the Tool for Approximate LargE graph matching (TALE). The 20 network hubs (nodes) shared between all three models and human LN reflect key pathologic processes, namely immune cell infiltration/activation, macrophage/dendritic cell activation, endothelial cell activation/injury and tissue remodeling/fibrosis. Each model also shares unique features with human LN. Pathway analysis of the TALE nodes highlighted macrophage/DC activation as a cross-species shared feature. To distinguish which genes and activation pathways might derive from mononuclear phagocytes in the human kidneys the gene expression profile of isolated NZB/W renal mononuclear cells was compared with human LN kidney profiles. Network analysis of the shared signature highlighted NFkappaB1 and PPARgamma as major hubs in the tubulointerstitial and glomerular networks respectively. Key nodes in the renal macrophage inflammatory response form the basis for further mechanistic and therapeutic studies.

Publication Title

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE37455
Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis[Tubulointerstitial]
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Expression data from human with hypertensive nephropathy (HT)

Publication Title

Cross-species transcriptional network analysis defines shared inflammatory responses in murine and human lupus nephritis.

Sample Metadata Fields

Specimen part

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accession-icon GSE6764
Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiles of 75 tissue samples were analyzed representing the stepwise carcinogenic process from pre-neoplastic lesions (cirrhosis and dysplasia) to HCC, including four neoplastic stages (very early HCC to metastatic tumors) from patients with HCV infection. Gene signatures that accurately reflect the pathological progression of disease at each stage were identified and potential molecular markers for early diagnosis uncovered. Pathway analysis revealed dysregulation of the Notch and Toll-like receptor pathways in cirrhosis, followed by deregulation of several components of the Jak/STAT pathway in early carcinogenesis, then up-regulation of genes involved in DNA replication and repair and cell cycle in late cancerous stages.

Publication Title

Genome-wide molecular profiles of HCV-induced dysplasia and hepatocellular carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12682
Expression data from Human Kidney (HK) samples
  • organism-icon Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Males are 50% more likely to develop end stage kidney failure compared to women. In this study we wanted to find out the molecular mechanism responsible for this increased risk. We collected kidney samples from patients with and without kidney disease and performed a comprehensive gene expression analysis in healthy and diseased male and female kidneys.

Publication Title

Human and murine kidneys show gender- and species-specific gene expression differences in response to injury.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE12683
Expression data from Balb/c mice kidney samples
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

Males are 50% more likely to develop end stage kidney failure compared to women. As a model of the human condition we analyzed gene expression changes in healthy and diseased mouse kidneys.

Publication Title

Human and murine kidneys show gender- and species-specific gene expression differences in response to injury.

Sample Metadata Fields

No sample metadata fields

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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