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accession-icon SRP061193
Comparison of immune cells between mice strains
  • organism-icon Mus musculus
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A number of macrophage and macrophage-like cells are responsible for immune response to challenges. Despite their shared role, these immune cells differ in the inflammatory response and impact on physiology and behavior. The purpose of this study was to profile mRNA levels (transcriptome) to better understand differences between immune cells under homeostasis using two mouse strains. Overall design: total RNA samples were obtained from 12 mice per strain and immune cell type and were subjected to paired-end RNA sequencing

Publication Title

Microglia Transcriptome Changes in a Model of Depressive Behavior after Immune Challenge.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE108875
Expression data from mouse spleens after experimental stroke (reanalysis of dataset GSE70841 with additional experimental)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Infection is a major complication and cause of mortality and morbidity after acute stroke however the mechanisms are poorly understood. After experimental stroke the microarchitecture and cellular composition of the spleen are extensively disrupted resulting in deficits to immune function.

Publication Title

Experimental Stroke Differentially Affects Discrete Subpopulations of Splenic Macrophages.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE19298
Gene expression timecourse in zebrafish whole eye in response to optic nerve crush
  • organism-icon Danio rerio
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Zebrafish Genome Array (zebrafish)

Description

It is well-established that neurons in the adult mammalian central nervous system are terminally differentiated and, if injured, will be unable to regenerate their connections. In contrast to mammals, zebrafish and other teleosts display a robust neuroregenerative response. Following optic nerve crush (ONX), retinal ganglion cells (RGC) regrow their axons to synapse with topographically correct targets in the optic tectum, such that vision is restored in ~21 days. What accounts for these differences between teleostean and mammalian responses to neural injury is not fully understood. A time course analysis of global gene expression patterns in the zebrafish eye after optic nerve crush can help to elucidate cellular and molecular mechanisms that contribute to a successful neuroregeneration.

Publication Title

Time Course Analysis of Gene Expression Patterns in Zebrafish Eye During Optic Nerve Regeneration.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE46050
Gene expression in Arabidopsis ddm1 mutants with high levels of Transposable Element activity
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Background: Transposable elements are known to influence the regulation of some genes. We aimed to determine which genes show altered gene expression when transposable elements are epigenetically activated.

Publication Title

Genome-wide identification of genes regulated in trans by transposable element small interfering RNAs.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP126290
RNA-Seq Analysis of Genes Differentially Expressed across temporal and spatial deposition of wall ingrowths in Arabidopsis Phloem Parenchyma Transfer Cells
  • organism-icon Arabidopsis thaliana
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transfer cells (TCs) play important roles in facilitating enhanced rates of nutrient transport at key apoplasmic/symplasmic junctions along the nutrient acquisition and transport pathways in plants. TCs achieve this capacity by developing elaborate wall ingrowth networks which serve to increase plasma membrane surface area thus increasing the cell's surface area-to-volume ratio to achieve increased flux of nutrients across the plasma membrane. Phloem parenchyma (PP) cells of Arabidopsis leaf veins trans-differentiate to become PP TCs which likely function in a two-step phloem loading mechanism by facilitating unloading of photoassimilates into the apoplasm for subsequent energy-dependent uptake into the sieve element/companion cell (SE/CC) complex. We are using PP TCs in Arabidopsis as a genetic model to identify transcription factors involved in coordinating deposition of the wall ingrowth network. Confocal imaging of pseudo-Schiff propidium iodide-stained tissue revealed different profiles of temporal development of wall ingrowth deposition across maturing cotyledons and juvenile leaves, and a basipetal gradient of deposition across mature adult leaves. RNA-Seq analysis was undertaken to identify differentially expressed genes common to these three different profiles of wall ingrowth deposition. This analysis identified 68 transcription factors up-regulated two-fold or more in at least two of the three experimental comparisons, with six of these transcription factors belonging to Clade III of the NAC-domain family. Phenotypic analysis of these NAC genes using insertional mutants revealed significant reductions in levels of wall ingrowth deposition, particularly in a double mutant of NAC056 and NAC018, as well as compromised sucrose-dependent root growth, indicating impaired capacity for phloem loading. Collectively, these results support the proposition that Clade III members of the NAC domain family in Arabidopsis play important roles in regulating wall ingrowth deposition in PP TCs. Overall design: The sampling enabled three different temporal and spatial pair-wise comparisons for RNA-Seq analysis, namely: (i) cotyledons at Day 5 vs Day 10; (ii) Leaf 1 and Leaf 2 (first juvenile leaves) at Day 10 vs Day 16; and (iii) basal vs apical third (base vs tip) of Leaf 12 at Day 31. This analysis provided temporal and spatial comparisons of tissues with absent vs abundant wall ingrowth deposition in phloem parenchyma transfer cells.

Publication Title

Transcript Profiling Identifies NAC-Domain Genes Involved in Regulating Wall Ingrowth Deposition in Phloem Parenchyma Transfer Cells of <i>Arabidopsis thaliana</i>.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE1460
Gene Expression Profile during human CD4+ T cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Subpopulations of human fetal thymocyte and circulating nave T cells were obtained through FACS sorting, including CD3-CD4+CD8- intrathymic T progenitor cells (ITTP), CD3intCD4+CD8+ "double positive" thymocytes (DP), CD3highCD4+CD8- "single positive" thymocytes (SP4), CD3+CD4+CD8-CD45RA+CD62L+ nave T cells from cord blood (CB4+), and CD3+CD4+CD8-CD45RA+CD62L+ nave T cells from adult blood (AB4+).

Publication Title

Gene expression profiles during human CD4+ T cell differentiation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP092481
Activity-dependent gene expression in the mammalian olfactory epithelium
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We access the activity-dependent genes in olfactory neuron cells with unilateral naris occlusion model with mouse. Overall design: mRNA profile of olfactory epithelia between closed and open sides of mice naris was compared

Publication Title

Activity-Dependent Gene Expression in the Mammalian Olfactory Epithelium.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE14555
Divergent Transcriptomic Responses to Aryl Hydrocarbon Receptor Agonists Between Rat and Human Primary Hepatocytes
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 61 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Divergent transcriptomic responses to aryl hydrocarbon receptor agonists between rat and human primary hepatocytes.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE14553
Toxicogenomic Comparison of TCDD and PCB 126 Responsiveness in Primary Human Hepatocytes
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Human Genome U133A Array (hgu133a)

Description

(Abstract) Toxicogenomics has great potential for enhancing our understanding of environmental chemical toxicity, hopefully leading to better-informed human health risk assessments. This study employed toxicogenomic technology to reveal species differences in response to two prototypical aryl hydrocarbon receptor (AHR) agonists, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and the polychlorinated biphenyl (PCB) congener PCB 126. Dose responses of primary cultures of rat and human hepatocytes were determined using species-specific microarrays sharing over 4,000 gene orthologs. Forty-seven human and 79 rat genes satisfied dose response criteria for both chemicals and were subjected to further analysis including the calculation of EC50 and the relative potency (REP) of PCB 126 for each gene. Only 5 responsive orthologous genes were shared between the two species, yet the geometric mean of the REPs for all rat and human modeled responsive genes were 0.06 (95% Confidence Interval (CI); 0.03-0.1) and 0.002 (95% CI; 0.001-0.005), respectively, suggesting broad species differences in the initial events that follow AHR activation but precede toxicity. This indicates that there are species differences in both the specific genes that responded and the agonist potency and relative potency for those genes. This observed insensitivity of human cells to PCB 126 is consistent with more traditional measurements of AHR activation (i.e., CYP1A1 enzyme activity) and suggests that the species difference in PCB 126 sensitivity is likely due to certain aspects of AHR function. That a species divergence also exists in this expanded AHR-regulated gene repertoire is a novel finding and should help when extrapolating animal data to humans.

Publication Title

Divergent transcriptomic responses to aryl hydrocarbon receptor agonists between rat and human primary hepatocytes.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE45923
The peroxisome proliferator-activated receptor-gamma agonist pioglitazone modulates aberrant T cell responses in systemic lupus erythematosus
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Previous studies indicate that peroxisome proliferator-activated receptor-gamma (PPAR-g) agonists suppress autoimmune responses and renal inflammation in murine lupus. However, the mechanisms implicated in this process remain unclear. We tested the effect of the PPAR-g agonist pioglitazone in human lupus and control PBMCs with regards to gene regulation and various functional assays.

Publication Title

The peroxisome-proliferator activated receptor-γ agonist pioglitazone modulates aberrant T cell responses in systemic lupus erythematosus.

Sample Metadata Fields

Specimen part, Disease, Treatment

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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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