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accession-icon GSE110551
Microbiome and Inflammatory Interactions in Obese and Severe Asthmatic Adults
  • organism-icon Homo sapiens
  • sample-icon 147 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In order to better understand the systemic immunological responses in a clinical cohort of obese and non-obese asthmatics and healthy subjects, we sought to analyze gene expression from whole blood. We collected whole blood samples from 156 donors and performed gene expression analysis of these samples and identified differentially expressed genes (DEGs) in each obese and/or asthma group relative to healthy volunteers.

Publication Title

Obesity and disease severity magnify disturbed microbiome-immune interactions in asthma patients.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE2019
Microarray Based Comparison of three Amplification Methods For Nanogram Amounts of Total RNA
  • organism-icon Mus musculus
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Two T7 based methods One round of Amplification (Affymetrix) and Two round of Amplification were compared to two Ribo-SPIA based systems, RiboSPIA and pico Ribo SPIA systems. Data for Pico-RiboSPIA are listed here.

Publication Title

Microarray-based comparison of three amplification methods for nanogram amounts of total RNA.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP131871
TAD cliques shape the 4-dimensional genome during dual lineage terminal differentiation
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon

Description

How genomic information is selectively utilized to direct spatial and temporal gene expression patterns during differentiation remains to be elucidated but it is clear that regulated changes in higher-order genomic architecture plays a fundamental role. Specifically, long range interactions within and between chromosomes and the position of chromosome territories in the nucleus are controlled by TADs and LADs respectively, but the relationship between these genomic organizers remains poorly understood Overall design: We analyzed the large-scale spatial reorganization of chromatin by generating matched Hi-C and nuclear lamin-chromatin contact datasets throughout a dual adipose/neuronal induction of human primary adipose stem cells. We have mapped Hi-C (TADs) and lamin-associated domains (LADs) in multiple steps during adipose stem cell differentiation to characterize the spatial and temporal link between genomic architecture and gene expression. We identify a new level of 4D genomic organization involving a long-range clustering of individual TADs or TAD pairs into TAD cliques. LADs appear to regulate their formation. (ASCs). We unveil a lineage-specific dynamic assembly and disassembly of repressive cliques of linearly non-contiguous TADs, and a time course-coupled relationship between TAD clique size and lamina association. Our findings reveal a new level of developmental genome organization and provide an overview of large-scale changes in the 4D nucleome during lineage-specific differentiation.

Publication Title

Long-range interactions between topologically associating domains shape the four-dimensional genome during differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42538
Knockdown of mineralocorticoid receptor or glucocorticoid receptor on human endometrial stromal cells and decidualization
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To clarify mineralcorticoid receptor and glucocorticoid receptor-dependent gene networks in decidualizing human endometrial stromal cells.

Publication Title

Induction of 11β-HSD 1 and activation of distinct mineralocorticoid receptor- and glucocorticoid receptor-dependent gene networks in decidualizing human endometrial stromal cells.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE9485
cRNA amplification methods enhance microarray identification of transcripts expressed in the nervous system
  • organism-icon Caenorhabditis elegans
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Background: DNA microarrays provide a powerful method for global analysis of gene expression. The application of this technology to specific cell types and tissues, however, is typically limited by small amounts of available mRNA, thereby necessitating amplification. Here we compare microarray results obtained with two different methods of RNA amplification to profile gene expression in the C. elegans larval nervous system. Results: We used the mRNA-tagging strategy to isolate transcripts specifically from C. elegans larval neurons. The WT-Ovation Pico System (WT-Pico) was used to amplify 2 ng of Pan-neural RNA to produce labeled cDNA for microarray analysis. These WT-Pico-derived data were compared to microarray results obtained with a labeled aRNA target generated by two rounds of In Vitro Transcription (IVT) of 25 ng of Pan-neural RNA. WT-Pico results in a higher fraction of Present calls than IVT, a finding consistent with the proposal that DNA-DNA hybridization results in lower mismatch signals than the RNA-DNA heteroduplexes produced by IVT amplification. Microarray data sets from these samples were compared to a Reference profile of all larval cells to identify transcripts with elevated expression in neurons. These results were validated by the high proportion of known neuron-expressed genes detected in these profiles and by promoter-GFP constructs for previously uncharacterized genes in these data sets. Together, the IVT and WT-Pico methods identified 2,173 unique neuron-enriched transcripts. Only about half of these transcripts (1,044), however, are detected as enriched by both IVT and WT-Pico amplification.

Publication Title

Complementary RNA amplification methods enhance microarray identification of transcripts expressed in the C. elegans nervous system.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP015670
Identification of genes critical for resistance to infection by West Nile virus using RNA-Seq analysis
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Background: West Nile virus is an emerging infection of biodefense concern and there are no available treatments or vaccines. Here we used a high-throughput method based on a novel gene expression analysis, RNA-Seq, to give a global picture of differential gene expression by primary human macrophages of 10 healthy donors infected in vitro with WNV. Results: From a total of 50 million reads per sample, we employed a Bayesian hierarchical mixture model to identify 4,026 transcripts that were differentially expressed after infection. Both predicted and novel gene changes were detected, as were gene isoforms, and while many of the genes were expressed by all donors, some were unique. Knock-down of genes not previously known to be associated with WNV resistance identified their critical role in control of viral infection. Conclusions: Our study distinguishes both common gene pathways as well as novel cellular responses. Such analysis will be valuable for translational studies of susceptible and resistant individuals -- and for targeting therapeutics -- in multiple biological settings. Overall design: Differential gene expression by primary human macrophages of 10 healthy donors infected in vitro with WNV were generated by RNA-Seq.

Publication Title

Identification of genes critical for resistance to infection by West Nile virus using RNA-Seq analysis.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE19618
Expression data from E10.5 mouse otocyst
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We established a novel EGFP reporter mouse line (named Tg(ETAR-EGFP)14Imeg), which enables the placode-derived inner ear sensory cell lineage to be visualized and monitored. At E10.5, EGFP expression was detected in the ventral and dorsomedial region of the otocyst.

Publication Title

Establishment of mice expressing EGFP in the placode-derived inner ear sensory cell lineage and FACS-array analysis focused on the regional specificity of the otocyst.

Sample Metadata Fields

Specimen part

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accession-icon GSE62210
Depletion of p62 reduces nuclear inclusions and paradoxically ameliorates disease phenotypes in Huntingtons model mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Huntingtons disease (HD) is a dominantly inherited genetic disease caused by mutant huntingtin (htt) protein with expanded polyglutamine tracts. A neuropathological hallmark of HD is the presence of neuronal inclusions of mutant htt. p62 is an important regulatory protein in selective autophagy, a process by which aggregated proteins are degraded, and it is associated with several neurodegenerative disorders including HD. Here we investigated the effect of p62 depletion in three HD model mice: R6/2, HD190QG and HD120QG mice. We found that loss of p62 in these models led to longer lifespans and reduced nuclear inclusions, although cytoplasmic inclusions increased with polyglutamine length. In mouse embryonic fibroblasts (MEFs) with or without p62, mutant htt with a nuclear localization signal (NLS) showed no difference in nuclear inclusion between the two MEF types. In the case of mutant htt without NLS, however, p62 depletion increased cytoplasmic inclusions. Furthermore, to examine the effect of impaired autophagy in HD model mice, we crossed R6/2 mice with Atg5 conditional knockout mice. These mice also showed decreased nuclear inclusions and increased cytoplasmic inclusions, similar to HD mice lacking p62. These data suggest that the genetic ablation of p62 in HD model mice enhances cytoplasmic inclusion formation by interrupting autophagic clearance of polyQ inclusions. This reduces polyQ nuclear influx and paradoxically ameliorates disease phenotypes by decreasing toxic nuclear inclusions.

Publication Title

Depletion of p62 reduces nuclear inclusions and paradoxically ameliorates disease phenotypes in Huntington's model mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE33106
Expression data from livers in wildtype and Sox17+/-mice at 17dpc
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The onset of the liver inflamentation in the Sox17+/- embryos.

Publication Title

Sox17 haploinsufficiency results in perinatal biliary atresia and hepatitis in C57BL/6 background mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE51754
Expression data of blood (BVEC) versus lymphatic (LVEC) vascular endothelial silenced for RhoB and VEZF1
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

RhoB null mice show decreases in pathological angiogenesis in the ischemic retina and reduces angiogenesis in response to cutaneous wounding, but enhances lymphangiogenesis following both dermal wounding and inflammatory challenge.

Publication Title

RhoB controls coordination of adult angiogenesis and lymphangiogenesis following injury by regulating VEZF1-mediated transcription.

Sample Metadata Fields

Sex, Specimen part

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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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