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accession-icon GSE53808
White Matter transcriptome in chronic alcoholism
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Chronic alcohol consumption can lead to alchohol-related brain damage (ARBD). Despite the well known acute effects of alcohol the mechanism responsible for chronic brain damage is largely unknown. Pathologically the major change is the loss of white matter while neuronal loss is mild and restricted to a few areas such as the prefrontal cortex. In order to improve our understanding of ARBD pathogenesis we used microarrays to explore the white matter transcriptome of alcoholics and controls.

Publication Title

Comorbidities, confounders, and the white matter transcriptome in chronic alcoholism.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE57386
Gene expression of biopsies, CD14+ and CD14- cells from RA, PsA and PsO patients with Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 251 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE57383
Gene expression of CD14+ cells from RA, PsA and PsO patients with Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

objection: The immune inflammatory disorders rheumatoid arthritis (RA), psoriatic arthritis (PsA) and psoriasis (Ps) share common pathologic features and show responsiveness to anti-tumor necrosis factor (TNF) agents yet they are phenotypically distinct. The aim of this study was to examine if anti-TNF therapy is associated with divergent gene expression profiles in circulating cells and target tissues of patients with these diseases

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE57405
Gene expression of CD14- cells from RA, PsA and PsO patients with Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 109 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

objection: The immune inflammatory disorders rheumatoid arthritis (RA), psoriatic arthritis (PsA) and psoriasis (Ps) share common pathologic features and show responsiveness to anti-tumor necrosis factor (TNF) agents yet they are phenotypically distinct. The aim of this study was to examine if anti-TNF therapy is associated with divergent gene expression profiles in circulating cells and target tissues of patients with these diseases

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE57376
Synovial biopsies from RA and PsA patients and skin biopsies from Psoriasis patients under Infliximab treatment
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Object: to understand Infliximab treatment effect on the molecular expression of tissue at disease site

Publication Title

Divergent gene activation in peripheral blood and tissues of patients with rheumatoid arthritis, psoriatic arthritis and psoriasis following infliximab therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Time

View Samples
accession-icon GSE26975
Human lupus netting neutrophils induce endothelial damage, infiltrate tissues and expose immunostimulatory molecules
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Our group has proposed that low-density granulocytes (LDGs) play an important role in lupus pathogenesis, as they can damage endothelial cells and synthesize increased levels of proinflammatory cytokines and type I interferons. LDGs have a heightened capacity to synthesize neutrophil extracellular traps (NETs). NETs from LDGs display increased levels of bactericidal and immunostimulatory proteins, such as the cathelicidin LL37 and externalize double-stranded DNA (dsDNA). Lupus netting LDGs have increased capacity to kill endothelial cells and expose IL-17. Through NETosis, lupus neutrophils stimulate plasmacytoid DCs to synthesize IFN-. Our results further expand the potential pathogenic role of aberrant lupus neutrophils through a NET-mediated effect.

Publication Title

Netting neutrophils induce endothelial damage, infiltrate tissues, and expose immunostimulatory molecules in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE5130
Accurate and precise transcriptional profiles from 50 pg of total RNA or 100 flow-sorted primary lymphocytes
  • organism-icon Mus musculus
  • sample-icon 103 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

We have developed a total RNA amplification and labeling strategy for use with Affymetrix GeneChips. Our protocol, which we denote BIIB, employs two rounds of linear T7 amplification followed by Klenow labeling to generate a biotinylated cDNA. In benchmarking studies using a titration of mouse universal total RNA, BIIB outperformed commercially available kits in terms of sensitivity, accuracy, and amplified target length, while providing equivalent results for technical reproducibility. BIIB maintained 50 and 44% present calls from 100 and 50 pg of total RNA, respectively. Inter- and intrasample precision studies indicated that BIIB produces an unbiased and complete expression profile within a range of 5 ng to 50 pg of starting total RNA. From a panel of spiked exogenous transcripts, we established the BIIB linear detection limit to be 20 absolute copies. Additionally, we demonstrate that BIIB is sensitive enough to detect the stochastic events inherent in a highly diluted sample. Using RNA isolated from whole tissues, we further validated BIIB accuracy and precision by comparison of 224 expression ratios generated by quantitative real-time PCR. The utility of our method is ultimately illustrated by the detection of biologically expected trends in a T cell/B cell titration of 100 primary cells flow sorted from a healthy mouse spleen.

Publication Title

Accurate and precise transcriptional profiles from 50 pg of total RNA or 100 flow-sorted primary lymphocytes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP056630
Dnmt1 is essential to maintain progenitors in the perinatal intestinal epithelium.
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We report that Dnmt1 is crucial during perinatal intestinal development. Loss of Dnmt1 in intervillus progenitor cells causes global hypomethylation, DNA damage, premature differentiation, and apoptosis, and consequently, loss of nascent villi. We further confirm the critical role for Dnmt1 during crypt development using the in vitro organoid culture system, and illustrate a clear differential requirement for Dnmt1 in immature versus mature organoids. These results demonstrate an essential role for Dnmt1 in maintaining genomic stability during intestinal development and the establishment of intestinal crypts. Overall design: We performed RNA-Seq of control and Dnmt1-ablated intestinal progenitor cells isolated from parrafin embedded tissues by laser capture microdissection (LCM).

Publication Title

Dnmt1 is essential to maintain progenitors in the perinatal intestinal epithelium.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE32214
Expression profiling of erythroid developmental subsets isolated from mouse fetal liver.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The S1 and S3 erythroid developmental subsets were isolated using flow cytometry and the cell surface markers CD71 and Ter119 as described by Pop et. al. 2010 (PMID: 20877475)

Publication Title

Global DNA demethylation during mouse erythropoiesis in vivo.

Sample Metadata Fields

Specimen part

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accession-icon GSE53735
Expression data for murine colon carcinoma cell line CT26.WT stimulated with S100a8 or S100a9 recombinant protein
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Damage-associated molecular pattern (DAMP) molecules S100A8 and S100A9 with well-known functions in inflammation, tumor growth and metastasis. It has been found to have promote tumor cell proliferation activity at low concentration . However, the mechanism underlying this remains unclear. In the current study, we performed genome expression profiling analysis using the Affymetrix genome wide microarray system to identify broad scale changes in gene expression associated with S100a8 or S100a9 recombinant protein stimulation in murine colon carcinoma cell line CT26.WT.

Publication Title

Inflammation-induced S100A8 activates Id3 and promotes colorectal tumorigenesis.

Sample Metadata Fields

Cell line

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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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Developed by the Childhood Cancer Data Lab

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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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