refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 50 results
Sort by

Filters

Technology

Platform

accession-icon GSE48139
Differential gene expression in the Lacrimal gland during development and onset of xerostomia in Sjgrens syndrome-like disease of the C57BL/6.NOD-Aec1Aec2 mouse.
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Recently, we reported the development of the C57BL/6.NOD-Aec1Aec2 mouse that carries two genetic intervals derived from the NOD mouse capable of conferring Sjgrens syndrome (SjS)-like disease in SjS-non-susceptible C57BL/6 mice.

Publication Title

Differential gene expressions in the lacrimal gland during development and onset of keratoconjunctivitis sicca in Sjögren's syndrome (SJS)-like disease of the C57BL/6.NOD-Aec1Aec2 mouse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE36378
Mapping the Transcriptional Landscape of Autoimmune Targeted Tissues: Transient Alterations in the Extracellular Milieu Precede Innate and Delayed Adaptive Immune Responses in Spontaneous Experimental Autoimmunity.
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The C57BL/6.NOD-Aec1Aec2 mouse is a model for primary Sjgrens syndrome and was constructed by introducing two genetic intervals derived from the NOD mouse that confers Sjgrens syndrome (SjS)-like disease in SjS-non-susceptible C57BL/6 mice.

Publication Title

Transcriptional landscapes of emerging autoimmunity: transient aberrations in the targeted tissue's extracellular milieu precede immune responses in Sjögren's syndrome.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE56866
Transcriptomes of the Cochlear Inner and Outer Hair Cells
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The transcriptome is the complete set of all RNA transcripts produced by the genome in a cell and reflects the genes that are being actively expressed. Transcriptome analysis is essential for understanding the genetic mechanism controlling the phenotype of a cell.

Publication Title

Characterization of transcriptomes of cochlear inner and outer hair cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE15640
Salivary gland during development and onset of xerostomia in murine model of Sjgren's syndrome-like disease
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Differential gene expression in the salivary gland during development and onset of xerostomia in Sjgrens syndrome-like disease of the C57BL/6.NOD-Aec1Aec2 mouse.

Publication Title

Differential gene expression in the salivary gland during development and onset of xerostomia in Sjögren's syndrome-like disease of the C57BL/6.NOD-Aec1Aec2 mouse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP059938
RNA-sequencing analysis of liver from mice overexpressing miR-30c
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study aims to investigate the role of microRNA-30c on hepatic and metabolic gene expression and physiology Overall design: For this experiment, we used male C57BL/6 mice. At an age of 8 weeks, we started them on Western diet for one month and then injected them with either PBS or increasing dose of Scr or miR-30c mimic (2.5, 5.0, and 7.5 mg/kg) for 6 weeks. Liver from these mice were harvested and flash frozen. RNA from the livers of these mice were extracted and RNA-seq was performed.

Publication Title

MicroRNA-30c Mimic Mitigates Hypercholesterolemia and Atherosclerosis in Mice.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP074389
Whole transcriptome analysis of functionally distinct cell types of the jejunal intestinal epithelium of germfree and conventionalized mice [mRNA]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The highly characterized Sox9-EGFP transgenic mouse model, which permits the isolation and analysis of four distinct IEC populations using fluorescence-activated cell sorting (FACS) based on differing levels of cellular EGFP intensity. These are Sox9-EGFP Low (actively cycling IESCs), Sox9-EGFP Sublow (progenitor cells), Sox9-EGFP Neg (mostly differentiated enterocytes as well as goblet cells and Paneth cells), and Sox9-EGFP High (primarily EECs). We evaluated mRNA expression profiles by next-generation high-throughput RNA-sequencing in FACS purified Sox9-Low cells from germ-free (GF) and conventionalized (CV) mice. Overall design: To assess the effect of microbiota on the intestinal epithelial stem cells population, we used four pairs of female GF Sox9-EGFP littermates. One littermate from each pair was randomly selected at 8-10 weeks of age for conventionalization. Following a two-week conventionalization, the jejunal epithelial tissue from both the CV and GF littermates were harvested and IECs were sorted by FACS. RNA was isolated from the four sorted populations from each animal, as well as from non-sorted (NS) IECs, and subject to small RNA sequencing. Additionally, Sox9-Low samples were profiled for mRNAs using mRNA-seq. Reads were aligned to the mouse genome and quantified using Salmon followed by edgeR. To avoid noise introduced by lowly expressed transcripts, we analyzed only robustly expressed transcripts defined as those with an expression of at least 10 counts per million (CPM).

Publication Title

Functional Transcriptomics in Diverse Intestinal Epithelial Cell Types Reveals Robust MicroRNA Sensitivity in Intestinal Stem Cells to Microbial Status.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE5007
Expression data for LMF
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This study compared the expression signatures of HL60 cells +/- tretinoin. This data was then used for another study showing a method for high-throughput gene expression signature analysis.

Publication Title

A method for high-throughput gene expression signature analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE109567
Expression data from bovine bone-marrow derived MSCs following preconditioning (hypoxia and/or transforming growth factor-beta (TGF-))
  • organism-icon Bos taurus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.0 ST Array (bovgene10st)

Description

The innate repair and regeneration potential of skeletal tissues such as the intervertebral disc and articular cartilage is extremely limited, in part due to their avascularity and low cell density. Despite recent advances in MSC-based disc and cartilage regeneration, key challenges remain, including the sensitivity of these cells to in vivo microenvironmental stress such as low oxygen and nutrient levels. The objective of this study was to investigate whether preconditioning with hypoxia and/or transforming growth factor-beta (TGF-) can enhance MSC survival and extracellular matrix production in a low oxygen and nutrient-limited microenvironment. Secondarily, the effects of donor variability on the response of MSCs to preconditioning was examined. MSCs from multiple bovine donors were preconditioned in monolayer in normoxia or hypoxia, with or without TGF-.

Publication Title

Hypoxic Preconditioning Enhances Bone Marrow-Derived Mesenchymal Stem Cell Survival in a Low Oxygen and Nutrient-Limited 3D Microenvironment.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE7462
Gene expression of diesel exhaust inhalation in peripheral blood mononuclear cells from healthy human volunteers
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Diesel exhaust (DE) is the primary source of urban fine particulate matter, which has been associated with cardiovascular disease in epidemiological studies. These effects may be related to oxidative stress and systemic inflammation with resulting perturbation of vascular homeostasis. Peripheral leukocytes are involved in both inflammation and control of vascular homeostasis. Objectives: We conducted an exploratory study using microarray techniques to analyze whether global gene expression in peripheral blood mononuclear cells (PBMCs) can inform on potential mechanisms of effect of DE inhalation. Methods: In a double-blind, crossover, controlled exposure study, healthy adult volunteers were exposed in randomized order to filtered air (FA) and diluted DE in two-hour sessions. We isolated RNA (Trizol/Qiagen method) form PBMCs before, and two times after each exposure. RNA samples were arrayed using the Affymetrix platform (GeneChip Human Genome U133 Plus 2.0 Array). Results: Microarray analyses were conducted on five subjects with available RNA sample form exposures to FA and to the highest DE inhalation (200 g/m of fine particulate matter). Following data normalization and statistical analysis, a total of 1290 out of 54,675 probe sets with significant evidence for differential expression (more than 1.5-fold up or down regulated with p < 0.05) were identified. These include genes involved in inflammatory response (e.g., IL8RA, TNFAIP6, FOS), oxidative stress (e.g., HMOX1, BAX, PRDX1,), and in biochemical pathways like mitogen-activated protein kinases (MAPK) and tight junction pathways. Conclusions: These data suggest that DE may exert time-dependent changes in gene expression in PBMCs in healthy individuals. Genes that may be affected by DE inhalation are involved in inflammatory and oxidative stress processes.

Publication Title

Diesel exhaust inhalation and assessment of peripheral blood mononuclear cell gene transcription effects: an exploratory study of healthy human volunteers.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE40611
Gene expression data of parotid tissue from Primary Sjogrens Syndrome and controls
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primary Sjgrens syndrome (pSS) is a chronic autoimmune disease with complex etiopathogenesis. Here we use Affymetrix U133 plus 2.0 microarray gene expression data from human parotid tissue. Parotid gland tissues were harvested from 17 pSS and 14 14 non-pSS sicca patients and 18 controls. The data were used in the following article: Nazmul-Hossain ANM, Pollard RPE, Kroese FGM, Vissink A, Kallenberg CGM, Spijkervet FKL, Bootsma H, Michie SA, Gorr SU, Peck AB, Cai C, Zhou H, Horvath S, Wong DTW (2012) Systems Analysis of Primary Sjgrens Syndrome Pathogenesis in Salivary Glands: Comparative Pathways and Molecular Events in Humans and a Mouse Model.

Publication Title

Systems analysis of primary Sjögren's syndrome pathogenesis in salivary glands identifies shared pathways in human and a mouse model.

Sample Metadata Fields

Disease

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