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accession-icon SRP068103
Abnormal X chromosome inactivation and sex-specific gene dysregulation after ablation of FBXL10
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The FBXL10 protein (also known as KDM2B, JHDM1B, CXXC2, and NDY1) is bound to essentially all CpG-rich promoters in the mammalian genome. FBXL10 is expressed as two isoforms: FBXL10-1, a longer form that contains an N-terminal JmjC domain with C- terminal F-box, CXXC, PHD, RING, and leucine rich repeat (LRR) domains, and FBXL10-2, a shorter form that initiates at an alternative internal exon and which lacks the JmjC domain but retains the other domains. Selective deletion of Fbxl10-1 had been reported to produce a minor and variable phenotype, and most mutant animals were essentially normal. We show here that deletion of Fbxl10-2 (in a manner that does not perturb expression of Fbxl10-1) resulted in a very different phenotype with craniofacial abnormalities, greatly increased lethality, and female sterility in surviving homozygous mutants. The phenotype of the Fbxl10-2 deletion was more severe in female mutants. We found that mutants that lacked both FBXL10-1 and -2 showed embryonic lethality and even more extreme sexual dimorphism, with more severe gene dysregulation in mutant female embryos. X-linked genes were most severely dysregulated, and there was marked overexpression of Xist in mutant females although genes that encode factors that bind to Xist RNA were globally down-regulated in mutant female as compared to male embryos. FBXL10 is the first factor shown to be required both for the normal expression and function of the Xist gene. Overall design: Expression analysis using RNA-seq was performed on WT and Fbxl10T/T male and female embryos.

Publication Title

Abnormal X chromosome inactivation and sex-specific gene dysregulation after ablation of FBXL10.

Alternate Accession IDs

GSE76552

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE29371
Transcription data from Saccharomyces cerevisiae yeast (II)
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Effect of either FLO8 or MSS11 deletion and -overexpression on yeast transcript profiles compared to wild type in laboratory yeast strains 1278b and S288c - also the effect of FLO11 (MUC1) overexpression in the 1278b genetic background

Publication Title

Many Saccharomyces cerevisiae Cell Wall Protein Encoding Genes Are Coregulated by Mss11, but Cellular Adhesion Phenotypes Appear Only Flo Protein Dependent.

Alternate Accession IDs

E-GEOD-29371

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE139440
Secondhand smoke induces liver steatosis through deregulation of genes involved in lipid metabolism.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In this study, we have investigated the role of secondhand smoke (SHS) in the development of metabolic liver disease by characterizing the global regulation of genes and molecular pathways in SHS-exposed mice after termination of exposure (SHS 4M) and following one-month recovery in clean air (SHS 4M +1M RECOVERY).

Publication Title

Secondhand Smoke Induces Liver Steatosis through Deregulation of Genes Involved in Hepatic Lipid Metabolism.

Alternate Accession IDs

E-GEOD-139440

Sample Metadata Fields

Sex

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accession-icon GSE24071
HMGA2 overexpression
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Overexpression of high mobility group AT-hook 2 (HMGA2) associated with truncations of its 3 untranslated region (UTR) with let-7 micro RNA-complementary sequences have been identified in patients with paroxysmal nocturnal hemoglobinuria (PNH). Here, we generated transgenic mice (Hmga2 mice) with a 3UTR-trncated Hmga2 cDNA that overexpress Hmga2 mRNA and protein in hematopoietic organs. Hmga2 mice showed proliferative hematopoiesis that mimicked a myeloproliferative neoplasm (MPN)-like phenotype with increased numbers of all lineages of peripheral blood cells, hypercellular bone marrow (BM), splenomegaly with extramedullary erythropoiesis, and erythropoietin-independent erythroid colony formation compared to wild-type mice. Hmga2 BM-derived cells took over most of hematopoiesis in competitive repopulations during serial BM transplants. When we bred mice with circulating PNH cells (Piga- mice) with Hmga2 mice, the lack of GPI-linked proteins did not add an additional clonal advantage to the Hmga2+ cells. In summary, our results showed that the overexpression of a 3UTR-truncated Hmga2 leads to a proliferative hematopoiesis with clonal advantage, which may explain clonal expansion in PNH or MPN at the level of HSC.

Publication Title

3'UTR-truncated Hmga2 cDNA causes MPN-like hematopoiesis by conferring a clonal growth advantage at the level of HSC in mice.

Alternate Accession IDs

E-GEOD-24071

Sample Metadata Fields

Specimen part

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accession-icon SRP126417
RNA-sequencing and swarm intelligence-enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We report RNA-sequencing data of 80 tumor-educated blood platelet (TEP) samples isolated from 39 patients with lower-grade glioma (LGG) and 41 healthy donors (HD). This dataset can be employed as input for the thromboSeq source code (available via GitHub: https://github.com/MyronBest/) to reproduce the thromboSeq drylab pipeline. Overall design: Blood platelets were isolated from whole blood in purple-cap BD Vacutainers containing EDTA anti-coagulant by standard centrifugation. Total RNA was extracted from the platelet pellet, subjected to cDNA synthesis and SMARTer amplification, fragmented by Covaris shearing, and prepared for sequencing using the Truseq Nano DNA Sample Preparation Kit. Subsequently, pooled sample libraries were sequenced on the Illumina Hiseq 2500 platform. All steps were quality-controlled using Bioanalyzer 2100 with RNA 6000 Picochip, DNA 7500 and DNA High Sensitivity chips measurements. For further downstream analyses, reads were quality-controlled using Trimmomatic, mapped to the humane reference genome using STAR, and intron-spanning reads were summarized using HTSeq.

Publication Title

RNA sequencing and swarm intelligence-enhanced classification algorithm development for blood-based disease diagnostics using spliced blood platelet RNA.

Alternate Accession IDs

GSE107868

Sample Metadata Fields

Specimen part, Disease stage, Subject

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accession-icon GSE40523
Comparing gene expression between PICs and satellite cells from 1 week old muscle
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The satellite cell is considered the major tissue-resident stem cell underlying muscle regeneration, however, multiple non-satellite cell myogenic progenitors have been identified. PW1/Peg3 is expressed in satellite cells as well as a subset of interstitial cells with myogenic potential termed PICs (PW1+ Interstitial Cells). PICs differ from satellite cells by their anatomical location (satellite cells are sublaminal and PICs are interstitial), they do not express any myogenic marker and arise from a Pax3-independent lineage. Upon isolation from juvenile muscle (1 to 3 weeks old), PICs are capable to form both skeletal and smooth muscle suggesting they constitute a more plastic population compared to satellite cells. We used microarrays to gain insight into the relantionship between PICs and satellite cells.

Publication Title

Defining skeletal muscle resident progenitors and their cell fate potentials.

Alternate Accession IDs

E-GEOD-40523

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE15398
Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

For more than a decade, microarrays have been a powerful and widely used tool to explore the transcriptome of biological systems. However, the amount of biological material from cell sorting or laser capture microdissection is much too small to perform microarray studies. To address this issue, RNA amplification methods have been developed to generate sufficient targets from picogram amounts of total RNA to perform microarray hybridisation. In this study, four commercial protocols for amplification of picograms amounts of input RNA for microarray expression profiling were evaluated and compared. The quantitative and qualitative performances of the methods were assessed. Microarrays were hybridised with the amplified targets and the amplification protocols were compared with respect to the quality of expression profiles, reproducibility within a concentration range of input RNA, and sensitivity.

Publication Title

Evaluation of methods for amplification of picogram amounts of total RNA for whole genome expression profiling.

Alternate Accession IDs

E-GEOD-15398

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE49079
Expression data from maternally inflamed and Dap12-mutant microglia at E17.5.
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Microglia colonize the brain parenchyma at early stages of development and accumulate in specific regions where they actively participate in cell death, angiogenesis, neurogenesis and synapse elimination. A recurring feature of embryonic microglial distribution is their association with developing axon tracts which, together with in vitro data, supports the idea of a physiological role for microglia in neurite development. Yet the demonstration of this role of microglia is still lacking. Here, we have studied the consequences of microglial dysfunction on the formation of the corpus callosum, the largest connective structure in the mammalian brain, which shows consistent microglial accumulation during development. We studied two models of microglial dysfunction: the loss-of-function of DAP12, a key microglial-specific signaling molecule, and a model of maternal inflammation by peritoneal injection of LPS at E15.5. We performed transcriptional profiling of maternally inflamed and Dap12-mutant microglia at E17.5. We found that both treatments principally down-regulated genes involved in nervous system development and function, particularly in neurite formation. We then analyzed the functional consequences of these microglial dysfunctions on the formation of the corpus callosum. We also took advantage of the Pu.1-/- mouse line, which is devoid of microglia. We now show that all three models of altered microglial activity resulted in the same defasciculation phenotype. Our study demonstrates that microglia are actively involved in the fasciculation of corpus callosum axons.

Publication Title

Microglia shape corpus callosum axon tract fasciculation: functional impact of prenatal inflammation.

Alternate Accession IDs

E-GEOD-49079

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE39034
Mammalian cells acquire epigenetic hallmarks of human cancer during immortalization
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Progression to malignancy requires cells to overcome senescence and switch to an immortal phenotype. Thus, exploring the genetic and epigenetic changes that occur during senescence/immortalization may help elucidate crucial events that lead to cell transformation. In the present study, we have globally profiled DNA methylation in relation to gene expression in primary, senescent and immortalized mouse embryonic fibroblasts.

Publication Title

Mammalian cells acquire epigenetic hallmarks of human cancer during immortalization.

Alternate Accession IDs

E-GEOD-39034

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE41978
Gene-expression profile of Id2+ versus Id2KO KLRG1lo cells during infection
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CD8+ T cells play a crucial role in the clearance of intracellular pathogens through the generation of cytotoxic effector cells that eliminate infected cells and long-lived memory cells that provide enhanced protection against reinfection. We have previously shown that the inhibitor of E protein transcription factors, Id2, is necessary for accumulation of effector and memory CD8+ T cells during infection. Here we show that CD8+ T cells lacking Id2 did not generate a robust terminally-differentiated KLRG1hi effector population, but displayed a cell-surface phenotype and cytokine profile consistent with memory precursors, raising the question as to whether loss of Id2 impairs the differentiation and/or survival of effector-memory cells. We found that deletion of Bim rescued Id2-deficient CD8+ cell survival during infection. However, the dramatic reduction in KLRG1hi cells caused by loss of Id2 remained in the absence of Bim, such that Id2/Bim double-deficient cells form an exclusively KLRG1loCD127hi memory precursor population. Thus we describe a role for Id2 in both the survival and differentation of normal CD8+ effector and memory populations.

Publication Title

Id2 influences differentiation of killer cell lectin-like receptor G1(hi) short-lived CD8+ effector T cells.

Alternate Accession IDs

E-GEOD-41978

Sample Metadata Fields

Specimen part

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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