refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 77 results
Sort by

Filters

Technology

Platform

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

View Samples
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

View Samples
accession-icon SRP091919
Post-transcriptional Gene Silencing Mediated by microRNAs is Controlled by Nucleoplasmic Sfpq [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

There is a growing body of evidence about the presence and the activity of the miRISC in the nucleus of mammalian cells. Here, we show by quantitative proteomic analysis that Ago2 interacts with nucleoplasmic Sfpq in a RNA-dependent fashion. By HITS-CLIP and transcriptomic analyses, we demonstrated that Sfpq directly controls the miRNA targeting of a subset of crucial miRNA-target mRNAs when it binds locally. Sfpq modulates miRNA targeting in both nucleoplasm and cytoplasm, indicating a nucleoplasmic imprinting of Sfpq-target mRNAs that influence miRNA targeting in both cellular compartments. Mechanistically, Sfpq binds to a sizeable set of long 3'UTR forming long aggregates to optimize miRNA position/recruitment to selected binding sites, as we show for Lin28A mRNA. These results extend the miRNA-mediated post-transcriptional gene silencing into the nucleoplasm and indicate that an unique Sfpq-dependent post-transcriptional strategy for controlling both nuclear and cytoplasmic gene expression takes place in cells during physio-pathological events. Overall design: RNA-seq of P19 cells control and upon SFPQ knockdown both in triplicates

Publication Title

Post-transcriptional gene silencing mediated by microRNAs is controlled by nucleoplasmic Sfpq.

Sample Metadata Fields

Specimen part, Subject

View Samples
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

View Samples
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
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

View Samples
accession-icon SRP049615
Single-cell transcriptome analysis of secretagogin mRNA expressing cells from the mouse hypothalamic paraventricular nucleus
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The molecular mechanism regulating phasic corticotropin-releasing hormone (CRH) release from parvocellular neurons (PVN) remains poorly understood. Here, we find a cohort of parvocellular cells interspersed with magnocellular PVN neurons expressing secretagogin. Single-cell transcriptome analysis combined with protein interactome profiling identifies secretagogin neurons as a distinct CRH-releasing neuron population reliant on secretagogin’s Ca2+ sensor properties and protein interactions with the vesicular traffic and exocytosis release machineries to liberate this key hypothalamic releasing hormone. Overall design: single cells from the PVN region juvenile (21-28 days) mice were dissected and subject to whole transcriptome analysis

Publication Title

A secretagogin locus of the mammalian hypothalamus controls stress hormone release.

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact