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accession-icon GSE11542
Expression data from rat mixed tissues samples
  • organism-icon Rattus norvegicus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

To evaluate gene expression changes in mixed tissue samples used as process controls in male Sprague Dawley rats over time.

Publication Title

Assessment of repeated microarray experiments using mixed tissue RNA reference samples.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10015
Expression data from rat tissues dosed with AMG A or AMG B
  • organism-icon Rattus norvegicus
  • sample-icon 144 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Expression 230A Array (rae230a)

Description

To evaluate and characterize gene expression changes and toxicity following oral gavage administration of AMG A & AMG B in male Sprague Dawley rats.

Publication Title

Application of genomics for identification of systemic toxicity triggers associated with VEGF-R inhibitors.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42129
Expression data from zebrafish pigment cells at adult stage
  • organism-icon Danio rerio
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

In zebrafish, there are interactions between black pigment cells (melanophores) and yellow pigment cells (xanthophores) for pigment-pattern formation. However, the detailed molecular mechanism of these interactions remains largely unknown.

Publication Title

Involvement of Delta/Notch signaling in zebrafish adult pigment stripe patterning.

Sample Metadata Fields

Specimen part

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accession-icon GSE112449
Microarray analysis comparing gene expression of callus tissue extracted from either Cyp24a1-null mice or their control heterozygous littermates
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The 24R,25-dihydroxyvitamin D metabolite (24R,25D) has long been suspected of participating to bone fracture repair. We used Cyp24a1-deficient mice, unable to produce 24R25D, to observe gene expression in callus tissue compared to that of control littermates.

Publication Title

Optimal bone fracture repair requires 24R,25-dihydroxyvitamin D3 and its effector molecule FAM57B2.

Sample Metadata Fields

Age, Specimen part, Treatment, Time

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accession-icon GSE45423
Gene expression profile in the heart of wild type and Adenosine Receptor A2a over expressing mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Adenosine binds to 4 G protein-coupled receptors located on the cardiomyocyte (A1-R, A2a-R, A2b-R and A3-R) and modulates cardiac function during both ischemia and load-induced stress. While the role of adenosine receptor-subtypes has been well defined in the setting of ischemia-reperfusion, far less is known regarding their roles in protecting the heart during other forms of cardiac stress.

Publication Title

Identification of candidate long noncoding RNAs associated with left ventricular hypertrophy.

Sample Metadata Fields

Specimen part

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accession-icon SRP045448
TL1A signaling enhances the differentiation of TH9 cells and TH9-driven mucosal pathologies via BATF and BATF3 signaling pathways
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

The TNF family member TL1A (TNFSF15) co-stimulates several T helper subsets and promotes T cell-dependent models of inflammatory diseases, including inflammatory bowel diseases (IBD) and allergic lung disease. TL1A polymorphisms confer susceptibility to IBD and have been associated with disease severity. In this study, we identified TL1A as a strong inducer of TH9 cell differentiation in vitro. Mechanistically, TL1A induced NF-?B signaling and down-stream STAT6 activation and facilitated cooperative binding of BATF, BATF3, and IRF4 to the Il9 promoter. In vivo, utilizing an adoptive T cell transfer model we demonstrated that TL1A promoted IL-9-dependent, TH9 cell-induced intestinal and lung inflammation and blocking anti-IL-9 antibodies attenuated TL1A-driven mucosal inflammation. Our results demonstrate that TL1A promotes TH9 cell differentiation and function and define a role for IL-9 in TL1A-induced mucosal inflammation. Overall design: 4 samples (2x2)

Publication Title

A role for BATF3 in T<sub>H</sub>9 differentiation and T-cell-driven mucosal pathologies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14929
Myocardial expression data from gnotobiotic wild-type and Ppara-/- mice
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Germ free (GF) and conventionalized (CONV-D) wild-type C57Bl/6 male mice in the CARB-fed, 24h fasted, and 30d trained states; plus GF and CONV-D CARB-fed Ppara-/- mice. CARB-fed indicates a standard polysaccharide-rich mouse chow diet.

Publication Title

Regulation of myocardial ketone body metabolism by the gut microbiota during nutrient deprivation.

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP076671
Transcriptome analysis of mouse IgG1 memory B cell subsets
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

IgE plays an essential role in the pathogenesis of allergies and its production is strongly regulated. A transient IgE germinal center phase and lack of IgE memory cells limit the generation of pathogenic IgE, but this can be overcome by sequential switching of IgG1 cells to IgE. We investigated which population of IgG1 cells can give rise to IgE-producing cells in memory responses. We identified three populations of IgG1 memory B cells (DP:CD73+CD80+, SP:CD73-CD80+, DN:CD73-CD80-) that generate IgE plasma cells of high or low affinity, but none gives rise to IgE germinal center cells or IgE memory cells. The two memory IgG1 populations differ however in their ability to differentiate into IgG1 plasma cells and germinal center cells, and to expand the IgG1 memory B cell pool. To explore the molecular mechanisms that may explain the distinct functions of IgG1 memory B cell subsets we compared their expression by transcriptome analysis using next generation sequencing. Overall design: mRNA profiles of quadruplicates of double positive (DP:CD73+CD80+), single positive (SP:CD73-CD80+), double negative (DN:CD73-CD80-) IgG1 memory B cells along with IgG1 germinal center (GC) cells and naïve B cells were generated using Illumina high throughput sequencing.

Publication Title

IgG1 memory B cells keep the memory of IgE responses.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP050449
Single cell expression profiles of the earliest cardiac precursor cells
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The character of the earliest cardiac precursor cells remains largely unknown. To elucidate this further, we constructed single cell cDNAs from the mouse embryonic cardiac precurcsor cells of the early allantoic bud stage and the early headfold stage, and subjected them to deep sequencing. Overall design: The most anterior part of the embryos where cardiac precursor cells exist was digested by trypsin to separate into single cells. After a cell was transferred into a reaction tube, single cell cDNAs were constructed as PCR amplicons. cDNAs of cardiac precursor cells were identified by PCR of marker genes.

Publication Title

Single-Cell Expression Profiling Reveals a Dynamic State of Cardiac Precursor Cells in the Early Mouse Embryo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14304
Rice expression atlas: Plant reproductive process
  • organism-icon Oryza sativa
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Gene expression throughout the reproductive process in rice (Oryza sativa) beginning with primordia development through pollination/fertilization to zygote formation was analyzed. We analyzed 25 stages/organs of rice reproductive development including early microsporogenesis stages with 57,381 probe sets, and identified around 26,000 expressed probe sets in each stage. Fine dissection of 25 reproductive stages/organs combined with detailed microarray profiling revealed dramatic, coordinated and finely tuned changes in gene expression. Decrease of expressed genes in the pollen maturation process was observed in a similar way with Arabidopsis and maize. An almost equal number of ab initio predicted genes and cloned genes appeared or disappeared coordinated with developmental stage progression. A large number of organ-/stage-specific genes were identified; notably 2,593 probe sets for developing anther, including 932 probe sets corresponding to ab initio predicted genes. Analysis of cell cycle-related genes revealed that several CDKs, cyclins and components of SCF E3 ubiquitin ligase complexes were expressed specifically in reproductive organs. Cell wall biosynthesis or degradation protein genes and transcription factor genes expressed specifically in reproductive stages were also newly identified. Rice genes homologous to reproduction-related genes in other plants showed expression profiles both consistent and inconsistent with their predicted functions. The rice reproductive expression atlas is likely to be the deepest and most comprehensive dataset available, indispensable for unraveling functions of many specific genes in plant reproductive processes that have not yet been thoroughly analyzed.

Publication Title

Rice expression atlas in reproductive development.

Sample Metadata Fields

No sample metadata fields

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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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