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accession-icon GSE84886
Longitudinal transcriptomic and metabolomic data demonstrate altered lipid metabolism following the onset of hyperglycemia in spontaneously diabetic rats
  • organism-icon Rattus norvegicus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Fat metabolism is also peturbed after the diagnosis of type 1 diabetes. Patients have less fat in the liver (4) and increased fasting lipid oxidation (5) compared to controls. Similarly, in a BioBreeding rat model of type 1 diabetes, the diabetes-prone animals develop a reduced respiratory quotient compared to non-diabetic rats before the onset of hyperglycemia, consistent with an increased use of fatty acids relative to carbohydrates as an energy substrate (6).

Publication Title

Longitudinal analysis of hepatic transcriptome and serum metabolome demonstrates altered lipid metabolism following the onset of hyperglycemia in spontaneously diabetic biobreeding rats.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE54714
Gene Expression of Kidney from FHH and Nr4a1 Deficient Rats
  • organism-icon Rattus norvegicus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

Nr4a1 deficient rats (Nr4a1-/-) were developed using the fawn hooded hypertensive rat (FHH), which provided a genetic background susceptible to kidney injury. Both groups of animals were evaluated for blood pressure, proteinuria, renal function, and whole transcriptome gene pathway changes. Gene expression profiling was performed at week 8, 16, and 24 using kidney from FHH and Nr4a1-/- rats. To identify differentially expressed gene between FHH and Nr4a1-/- two statistical methods were utilized: (1) FWER (family-wise error rate) procedure, p<0.05 and fold-change 1.2 or greater; and/or (2) Benjamani and Hochberg FDR (false discovery rate) using p<0.05, and fold-change 1.2 or greater. Two-way ANOVA using a p<0.01 or lower was performed to identify strain X time interaction effects between groups. Gene networks and functional analysis were evaluated through the use of Ingenuity Pathways Analysis .

Publication Title

Genetic susceptibility and loss of Nr4a1 enhances macrophage-mediated renal injury in CKD.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP186866
Progressive dosage compensation during Drosophila embryogenesis is reflected by gene arrangement on the X chromosome [RNA-seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

In D. melanogaster males, X chromosome monosomy is compensated by chromosome-wide transcription activation. We found that complete dosage compensation during embryogenesis takes surprisingly long. Although the activating Dosage Compensation Complex (DCC) associates with the chromosome and acetylates histone H4 early, many genes are not compensated. Acetylation levels on gene bodies continue to increase for several hours after gastrulation in parallel with progressive compensation. Constitutive genes are compensated earlier than developmental genes. Remarkably, later compensation correlates with longer distances to DCC binding sites. This time-space relationship suggests that DCC action on target genes requires maturation of the active chromosome compartment. Overall design: RNA-seq in 8 embryonic stages in total 54 single embryos.

Publication Title

Progressive dosage compensation during Drosophila embryogenesis is reflected by gene arrangement.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22621
Chromosomal kinase JIL-1 in Drosophila S2 Cells
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Global analysis of the relationship between JIL-1 kinase and transcription.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22620
JIL-1 RNAi in Drosophila S2 Cells
  • organism-icon Drosophila melanogaster
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Profiling of changes in steady state RNA levels upon RNAi-mediated knockdown of the chromosomal kinase JIL-1 in Drosophila S2 cells.

Publication Title

Global analysis of the relationship between JIL-1 kinase and transcription.

Sample Metadata Fields

Specimen part

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accession-icon GSE37369
Caco-2 cell gene expression following co-culture with Lactobacillus casei and Bifidobacterium breve
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To characterize how symbiotic bacteria affect the lolecular and cellular mechanisms of epithelial homeostasis, human colonic Caco-2 cells

Publication Title

Epithelial cell proliferation arrest induced by lactate and acetate from Lactobacillus casei and Bifidobacterium breve.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE15582
Over expression of mRNA for multiple genes including insulin in the PLN of NOD is associated with Islet Autoimmunity
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

The aim of this study is to identify genes implicated in the early steps of the autoimmune process, prior to inflammation in type 1 diabetes. Early Insulin AutoAntibodies (E-IAA) have been used as subphenotypic marker to select individual animals as type 1 diabetes prone and to compare gene expression patterns with insulin autoantibody negative NOD.

Publication Title

Early over expression of messenger RNA for multiple genes, including insulin, in the Pancreatic Lymph Nodes of NOD mice is associated with Islet Autoimmunity.

Sample Metadata Fields

Age

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accession-icon GSE9785
Expression data from Newborn mice infected with Shigella flexneri
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

In order to identify the developmental changes controlling the switch from disease susceptibility to resistance, we performed global gene expression analysis on non-infected and infected intestinal tissues taken from 4-day- and 7-day-old animals.

Publication Title

Maturation of paneth cells induces the refractory state of newborn mice to Shigella infection.

Sample Metadata Fields

Age

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accession-icon GSE8636
Intestinal xenotransplants infected with Shigella
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

to analyse the transcriptomic response of human intestinal tissue engrafted in SCID mice to Shigella infection

Publication Title

Virulent Shigella flexneri subverts the host innate immune response through manipulation of antimicrobial peptide gene expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE11497
Transcriptional signatures of BALB/c mouse macrophages housing multiplying Leishmania amazonensis amastigotes
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In mammals, resident dermal macrophages (Ms) are subverted by Leishmania (L.) amazonensis amastigotes as host cells permissive for parasite multiplication. These Leishmania are living within a communal parasitophorous vacuole (PV) and are expected to trigger unique M transcriptional signatures. We performed a transcription profiling of mouse Ms harboring amastigotes to get insights into their reprogramming as host cells for parasite multiplication. BALB/c mouse bone marrow-derived Ms were either loaded or not with four amastigotes on average. Twenty four hours later, when amastigotes multiply, total RNA from M cultures was prepared, amplified and hybridized onto Affymetrix Mouse430_2 GeneChips. The outcome recorded a total of 1,248 probe-sets showing significant differential expression. Comparable fold-change values for a handful of genes were obtained between Affymetrix technology and the more sensitive RTqPCR method. Ingenuity Pathway Analysis software pinpointed the up-regulation of the sterol biosynthesis pathway (P-value = 1.31e-02) involving several genes (1.95 to 4.30 fold-change values), and the modulation of various genes involved in polyamine synthesis and in pro/counter-inflammatory signaling. Our findings suggest that amastigotes exploit the M lipid and polyamine pathways to multiply efficiently, and induce a counter-inflammatory environment to expand their dermis niche.

Publication Title

Transcriptional signatures of BALB/c mouse macrophages housing multiplying Leishmania amazonensis amastigotes.

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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