refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 102 results
Sort by

Filters

Technology

Platform

accession-icon GSE80515
Modulation of the diet and gastrointestinal microbiota normalizes systemic inflammation and -cell chemokine expression associated with autoimmune diabetes susceptibility
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The incidence of Type 1 diabetes (T1D), a T-cell mediated autoimmunity that targets the insulin secreting -cells, has significantly increased, suggesting greater environmental pressure. In studies of T1D families and the BioBreeding rat model, we have identified a peripheral innate inflammatory state that is associated with diabetes susceptibility, consistent with pattern recognition receptor (PRR) ligation, but independent of disease progression. Here, compared to control strains, islets of spontaneously diabetic BB DRlyp/lyp and nondiatetic BB DR+/+ weanlings provided a standard cereal diet were found to temporally express a proinflammatory transcriptional program consistent with microbial antigen exposure that included numerous cytokines/chemokines. Dependence of this proinflammatory phenotype on the diet and gastrointestinal microbiota was investigated by transitioning DR+/+ weanlings to a hydrolyzed casein diet (HCD) or treating them with antibiotics to respectively alter or reduce PRR ligand exposure.

Publication Title

Modulation of the diet and gastrointestinal microbiota normalizes systemic inflammation and β-cell chemokine expression associated with autoimmune diabetes susceptibility.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE52724
Molecular signatures differentiate immune states in Type 1 Diabetes families
  • organism-icon Homo sapiens
  • sample-icon 275 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The complex milieu of inflammatory mediators associated with many diseases is often too dilute to directly measure in the periphery, necessitating development of more sensitive measurements suitable for mechanistic studies, earlier diagnosis, guiding selection of therapy, and monitoring interventions. Previously, we determined that plasma of recent-onset (RO) Type 1 diabetes (T1D) patients induce a proinflammatory transcriptional signature in fresh peripheral blood mononuclear cells (PBMC) relative to that of unrelated healthy controls (HC). Here, using an optimized cryopreserved PBMC-based protocol, we analyzed larger RO T1D, HC, and healthy T1D sibling cohorts. In addition, we examined T1D progression by looking at longitudinal samples.

Publication Title

Molecular signatures differentiate immune states in type 1 diabetic families.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE35386
GENE EXPRESSION CHANGES WITHIN MLLER GLIAL CELLS DURING RETINITIS PIGMENTOSA
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Retinitis Pigmentosa (RP) is a progressive retinal degeneration in which the retina loses nearly all of its photoreceptor cells and undergoes major structural changes. Little is known regarding the role the resident glia, the Mller glia, play in the progression of the disease. Here we define gene expression changes in Mller glial cells (MGCs) from two different mouse models of RP, the retinal degeneration 1 (rd1) and rhodopsin knock-out (Rhod-ko) models. The RNA repertoire of 28 single MGCs was comprehensively profiled, and a comparison was made between MGC from wild type (WT) and mutant retinas. Two time points were chosen for analysis, one at the peak of rod photoreceptor death and one during the period of cone photoreceptor death. MGCs have been shown to respond to retinal degeneration by undergoing gliosis, a process marked by the upregulation of GFAP. In this data, many additional transcripts were found to change. These can be placed into functional clusters, such as retinal remodeling, stress response, and immune related response. It is noteworthy that a high degree of heterogeneity among the individual cells was observed, possibly due to their different spatial proximities to dying cells, and/or inherent heterogeneity among MGCs.

Publication Title

Gene expression changes within Müller glial cells in retinitis pigmentosa.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE40367
Gene expression analysis of liver and colon cancer primary tumors and metastasis
  • organism-icon Homo sapiens
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Enriched tumor epithelium from 61 primary and metastasis tumor specimens was obtained by laser capture microdissection (LCM) as previously described (Boersma et al., 2007). In brief, frozen 8-m serial sections from OCT-preserved frozen tissues were prepared and mounted on plain, uncharged microscope slides. One Hematoxylin/eosin-stained section of each specimen was reviewed by a pathologist to confirm diagnosis and presence of tumor. The pathologist indicated which representative sections of the tumors should be microdissected. LCM was performed with the Pixcell II LCM system (Arcturus, Mountain View, CA). Total RNA was isolated using the PicoPure protocol (Arcturus, Mountain View, CA). The mRNA was amplified with two linear amplification steps by in vitro transcription using the MEGAscript T7 kit (Ambion, Austin, TX) followed by the labeling step using the BioArray HighYield RNA Transcript Labeling Kit T3 from Enzo Life Sciences (Farmingdale, NY). Labeled cRNA was hybridized onto Affymetix GeneChip HG-U133 Plus 2.0 Arrays.

Publication Title

Integrative genomic and transcriptomic characterization of matched primary and metastatic liver and colorectal carcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE14520
Gene expression data of human hepatocellular carcinoma (HCC)
  • organism-icon Homo sapiens
  • sample-icon 488 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

We used Affymetrix microarray profiling to analyze gene expression patterns in healthy donor liver as well as tumor and paired non-tumor tissue of HCC patients.

Publication Title

A unique metastasis gene signature enables prediction of tumor relapse in early-stage hepatocellular carcinoma patients.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE61434
Lineage reprogramming of adult mouse liver cells and B-lymphocytes to neural stem-like cells using defined factors
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Direct lineage conversion of adult mouse liver cells and B lymphocytes to neural stem cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE61433
Lineage reprogramming of adult mouse liver cells and B-lymphocytes to neural stem-like cells using defined factors [expression array]
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The overexpression of transcription factors Oct4, Sox2, Klf4, and c-Myc reprograms a somatic nucleus to one that is transcriptionally and epigenetically indistinguishable from an embryonic stem (ES) cell. However, it is still unclear if transcription factors can completely convert the nucleus of a differentiated cell into that of a distantly related cell type such that it maintains complete transcriptional and epigenetic reprogramming in the absence of exogenous factor expression. To test this idea, we screened a library of doxycycline-inducible vectors encoding neural stem cell (NSC)-expressed genes and found that stable, self-maintaining NSC-like cells could be induced under defined growth conditions after transduction of transcription factors. These induced NSCs (iNSCs) were characterized in the absence of exogenous factor induction and were shown to be transcriptionally, epigenetically, and functionally similar to endogenous embryonic cortical NSCs. Importantly, iNSCs could be generated from multiple adult cell types including liver cells and B-cells with genetic rearrangements. Our results show that self-maintaining proliferative neural cells can be induced from non-ectodermal cells by expressing specific combinations of transcription factors.

Publication Title

Direct lineage conversion of adult mouse liver cells and B lymphocytes to neural stem cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP193559
Inactivation of CFTR by CRISPR/Cas9 alters transcriptional regulation of inflammatory pathways and other networks
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, NextSeq 550

Description

Individuals with cystic fibrosis (CF) experience elevated inflammation in multiple organs, but whether this reflects an inherent feature of CF cells or is a consequence of a pro-inflammatory environment is not clear. Using CRISPR/Cas9-mediated mutagenesis of CFTR, 17 subclonal cell lines were generated from Caco-2 cells. Clonal lines with functional CFTR (CFTR+) were compared to those without (CFTR-) to directly address the role of CFTR in inflammatory gene regulation. All lines maintained CFTR mRNA production and formation of tight junctions. CFTR+ lines displayed short circuit currents in response to forskolin, while the CFTR- lines did not. Baseline expression of both cytokines was not different between the lines regardless of CFTR genotype. All lines responded to TNFa and IL1b by increasing IL6 and CXCL8 (IL8) mRNA levels, but the CFTR- lines produced more CXCL8 mRNA than the CFTR+ lines. Transcriptomes of 6 CFTR- and 6 CFTR+ lines, before and after stimulation by TNFa, were compared for differential expression as a function of CFTR genotype. While some genes appeared to be differentially expressed simply because of CFTR's absence, others required stimulation for differences to be apparent. Together, these data suggest cells respond to CFTR's absence by modulating transcriptional networks, some of which are only apparent when cells are exposed to different environmental contexts, such as inflammation. With regards to inflammation, these data suggest a model in which CFTR's absence leads to a poised, pro-inflammatory state of cells that is only revealed by stimulation. Overall design: Compare cells with intact CFTR to cells lacking CFTR for overall gene expression under basal and TNFa-stimulated conditions

Publication Title

Inactivation of CFTR by CRISPR/Cas9 alters transcriptional regulation of inflammatory pathways and other networks.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE42715
Expression data from open bariatric surgery patients - various adipose samples
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Diabetes and obesity are widespread diseases with signifciant socioeconomic implications. We used three different types of human adipose tissue (epigastric, visceral, and subcutaneous) in order to determine differences in global gene expression between these adipose depots in severely obese patients.

Publication Title

Gene expression profiling in subcutaneous, visceral and epigastric adipose tissues of patients with extreme obesity.

Sample Metadata Fields

Specimen part, Race

View Samples
accession-icon GSE32958
Integrative Transcriptomic Profiling reveals Hepatic Stem-like Phenotype and Interplay of EMT and miR-200c in Intrahepatic Cholangiocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptomic profiling reveals hepatic stem-like gene signatures and interplay of miR-200c and epithelial-mesenchymal transition in intrahepatic cholangiocarcinoma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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