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accession-icon SRP106457
RNA-seq analysis of scaffold attachment factor A (SAF-A) knockdown in RPE1 cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Analysis of gene expression by RNA-seq upon siRNA mediated knockdown of scaffold attachment factor A (SAF-A) versus control siRNA in RPE1 cells at 24 hour and 48 hour time points post transfection reveals SAF-A loss does not impact on gene transcription Overall design: Two control RNA-seq libraries where produced (24h and 48h) to compare to the two SAF-A siRNA knockdown RNA-seq libraries, each was a single experimental replicate.

Publication Title

SAF-A Regulates Interphase Chromosome Structure through Oligomerization with Chromatin-Associated RNAs.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE5090
PCOS patients vs control subjects
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This experiment was designed to study if there are differences in gene expression in the adipose tissue of women affected by polycystic ovary syndrome (PCOS) compared to non-hyperandrogenic women. PCOS is the most common endocrinopathy in women of reproductive age, and is characterized by hyperandrogenism and chronic anovulation. This disease is frequently associated with obesity, insulin resistance, and defects in insulin secretion, predisposing these women to type 2 diabetes, atherosclerosis, and cardiovascular disease.

Publication Title

Differential gene expression profile in omental adipose tissue in women with polycystic ovary syndrome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE94601
Molecular profiling of 159 primary lung carcinomas
  • organism-icon Homo sapiens
  • sample-icon 159 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Molecular profiling of 159 lung cancers of different histological subtypes. A primary objective is to identify gene expression differences between histological subtypes. Sample overlap exist with GSE60644

Publication Title

Gene Expression Profiling of Large Cell Lung Cancer Links Transcriptional Phenotypes to the New Histological WHO 2015 Classification.

Sample Metadata Fields

Sex, Age

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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

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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 GSE34164
Expression data from isolated peritoneal macrophages treated with Histidine-rich glycoprotein
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Histidine-rich glycoprotein (HRG) is a 75 kDa heparin-binding plasma protein which has been implicated in regulation of tumor angiogenesis and growth. To exert some of its biological functions, HRG acts on macrophages.This study was performed to assess changes in gene expression in peritoneal macrophages treated with HRG using oligonucleotide microarrays

Publication Title

Genetic deficiency in plasma protein HRG enhances tumor growth and metastasis by exacerbating immune escape and vessel abnormalization.

Sample Metadata Fields

Specimen part, Disease, Treatment, Time

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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
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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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