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accession-icon GSE20214
Gene expression profiling of pancreatic islets in BioBreeding rats
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Like humans, the NOD mouse and other diabetes susceptible rat strains, T1D in BB rats is dependent on the major histocompatibility complex (MHC, insulin dependent diabetes mellitus locus 1, Iddm1) located on chromosome 20. In rats this is the HLA-DQB1 homologue RT1-B, specifically the RT1u haplotype. Our studies employ congenic derivatives of the BB rat, the DRlyp/lyp and DR+/+ strains, which differ only by the 2 Mb lyp (lymphopenia, Iddm2) region on chromosome 4. TID in the lymphopenic DRlyp/lyp rat is spontaneous and onset occurs in 100% of animals during adolescence (65.3+/-6.3 days) due to a recessive mutation within GIMAP5 (GTPase, IMAP family member 5). Gimap5 is a mitochondrial GTP-binding protein necessary for post-thymic T cell survival. The spontaneously diabetic phenotype observed in DRlyp/lyp rats is thought to be elicited through deficiency in CD4+CD25+ TREG cells as T1D in lymphopenic BB rats can be rescued through adoptive transfer of this population. Genetic variation in GIMAP5 has been associated with the development of protein-tyrosine phosphatase-2 (IA-2) autoantibodies in human T1D [28] and is significantly associated with systemic lupus erythematosus (SLE). The non-lymphopenic DR+/+ strain possesses wild-type GIMAP5 alleles and does not develop spontaneous T1D, however, T1D is inducible through administration of lymphotoxic anti-RT6 monoclonal antibody and immune activating polyinosinic polycytidylic acid (poly I:C; a ligand of toll-like receptor 3), or through viral depletion of CD4+CD25+ regulatory T (TREG) cells. Such treatments do not induce T1D in the related Wistar-Furth (WF) rats and suggest the presence of an underlying diabetic predisposition in BB rats that is phenotypically manifested upon loss of immune regulation.

Publication Title

Biobreeding rat islets exhibit reduced antioxidative defense and N-acetyl cysteine treatment delays type 1 diabetes.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE42331
Gene expression data from whole blood of Klinefelter Syndrome patients compared to male and female controls
  • organism-icon Homo sapiens
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Patients with Klinefelter Syndrome have the karyotype 47,XXY. These men are suffering from hypergonadotropic hypogonadism and are infertile. It is debated whether the different hormonal constitution observed in these patients or different gene expression

Publication Title

Gene expression patterns in relation to the clinical phenotype in Klinefelter syndrome.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE9294
EOM and TA Sp cell comparison
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Using Affymetrix GeneChips, we analyzed expression profiles of SP cells from EOM and TA. 348 differentially expressed transcripts defined the EOM-SP transcriptome: 229 upregulated in EOM-SP and 119 in TA-SP.

Publication Title

Transcriptional and functional differences in stem cell populations isolated from extraocular and limb muscles.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE471
Expression profiling of extraocular muscles
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

The extraocular muscles (EOM) are anatomically and physiologically distinct from other skeletal muscles. EOM are preferentially affected in mitochondrial myopathies, but spared in Duchenne's muscular dystrophy. The anatomical and pathophysiological properties of EOM have been attributed to their unique molecular makeup: an allotype. We used expression profiling to define molecular features of the EOM allotype. We found 346 differentially expressed genes in rat EOM compared with tibialis anterior, based on a twofold difference cutoff. Genes required for efficient, fatigue-resistant, oxidative metabolism were increased in EOM, whereas genes for glycogen metabolism were decreased. EOM also showed increased expression of genes related to structural components of EOM such as vessels, nerves, mitochondria, and neuromuscular junctions. Additionally, genes related to specialized functional roles of EOM such as the embryonic and EOM-specific myosin heavy chains and genes for muscle growth, development, and/or regeneration were increased. The EOM expression profile was validated using biochemical, structural, and molecular methods. Characterization of the EOM expression profile begins to define gene transcription patterns associated with the unique anatomical, metabolic, and pathophysiological properties of EOM.

Publication Title

Expression profiling reveals metabolic and structural components of extraocular muscles.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55389
Expression data from whole retina of 8-week old db/db diabetic mice and lean littermates
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Diabetic retinopathy is one of the leading causes of blindness in diabetic patients. Emerging evidence suggests that retinal neurodegeneration is an early event in the pathogenesis of diabetic retinopathy, but the underlying causes of neuronal loss are unknown.

Publication Title

The db/db mouse: a useful model for the study of diabetic retinal neurodegeneration.

Sample Metadata Fields

Specimen part

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accession-icon GSE13344
Exon Array expression data from 13 areas of the late second trimester human brain
  • organism-icon Homo sapiens
  • sample-icon 186 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Tissue was microdissected from 13 regions, including 9 distinct neocortical areas, from both left and right sides of four late second trimester human brain specimens. Gene- and exon-level differential expression analyses were performed by mixed model, nested analysis of variance using the XRAY software from Biotique Systems. Further details available in Johnson, Kawasawa, et al., "Functional and Evolutionary Insights into Human Brain Development through Global Transcriptome Analysis" Neuron, Volume 62, Issue 4, 2009

Publication Title

Functional and evolutionary insights into human brain development through global transcriptome analysis.

Sample Metadata Fields

Age

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accession-icon SRP069772
C9orf72 is required for proper macrophage and microglial function in mice
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2000

Description

Expansions of a hexanucleotide repeat (GGGGCC) in the noncoding region of the C9orf72 gene are the most common genetic cause of amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. Decreased expression of C9orf72 is seen in expansion carriers, suggesting loss of function may play a role in disease. We find that two independent mouse lines lacking the C9orf72 ortholog (3110043O21Rik) in all tissues developed normally and aged without motor neuron disease. Instead, C9orf72 null mice developed progressive splenomegaly and lymphadenopathy with accumulation of engorged macrophage-like cells. C9orf72 expression was highest in myeloid cells, and loss of C9orf72 led to lysosomal accumulation and altered immune responses in macrophages and microglia, with age-related neuroinflammation similar to C9orf72 ALS but not sporadic ALS patient tissue. Thus, C9orf72 is required for normal function of myeloid cells, and altered microglial function may contribute to neurodegeneration in C9orf72 expansion carriers. Overall design: To compare the RNA Seq profiles from the lumbar region of spinal cords from mice lacking one copy or both copies of the C9orf72 ortholog (3110043O21Rik) compared to wild type control with two copies at 3 months (n=3) and 17 months (n=4).

Publication Title

C9orf72 is required for proper macrophage and microglial function in mice.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE45169
Expression data of human coronary artery perivascular adipocytes and subcutaneous adipocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Inflammatory crosstalk between perivascular adipose tissue and and blood vessel wall may contribute to atherosclerosis pathogenesis, and exhibits more pro-inflammatory than adipogenic phenotype than subcutaneous adipocytes.

Publication Title

Human coronary artery perivascular adipocytes overexpress genes responsible for regulating vascular morphology, inflammation, and hemostasis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE24995
Dendritic cell response to hypoxia and poly I:C
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Investigation whether hypoxic stabilization of HIF-1alpha quantitatively or qualitatively modifies the gene expression pattern induced by poly I:C, a TLR ligand that does not induce normoxic HIF-1alpha stabilization on its own (non-HIF-1alpha-stabilizing TLR ligand).

Publication Title

Toll-like receptor activation and hypoxia use distinct signaling pathways to stabilize hypoxia-inducible factor 1α (HIF1A) and result in differential HIF1A-dependent gene expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP069809
C9orf72 BAC Transgenic Mice Display Typical Pathologic Features of ALS/FTD
  • organism-icon Mus musculus
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000, Ion Torrent Proton

Description

Noncoding expansions of a hexanucleotide repeat (GGGGCC) in the C9orf72 gene are the most common cause of familial amyotrophic lateral sclerosis and frontotemporal dementia. Here we report transgenic mice carrying a bacterial artificial chromosome (BAC) containing the full human C9orf72 gene with either a normal allele (15 repeats) or disease-associated expansion (~100–1,000 repeats; C9-BACexp). C9-BACexp mice displayed pathologic features seen in C9orf72 expansion patients, including widespread RNA foci and repeat-associated non-ATG (RAN) translated dipeptides, which were suppressed by antisense oligonucleotides targeting human C9orf72. Nucleolin distribution was altered, supporting that either C9orf72 transcripts or RAN dipeptides promote nucleolar dysfunction. Despite early and widespread production of RNA foci and RAN dipeptides in C9-BACexp mice, behavioral abnormalities and neurodegeneration were not observed even at advanced ages, supporting the hypothesis that RNA foci and RAN dipeptides occur presymptomatically and are not sufficient to drive neurodegeneration in mice at levels seen in patients. Overall design: To compare the RNA Seq profiles from the cortex and spinal cord of transgenic mice expressing unexpanded human C9orf72 (F08, n=4), expanded human C9orf72 (F112, n=3/4), and nontransgenic controls (n=4).

Publication Title

C9orf72 BAC Transgenic Mice Display Typical Pathologic Features of ALS/FTD.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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