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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

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accession-icon GSE43261
Fluoxetine resistance in mice is associated with attenuated progression of a stereotyped dentate gyrus gene expression program
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Selective serotonin reuptake inhibitors (SSRIs) such as fluoxetine are the most common treatment for major depression. However, approximately 50% of depressed patients fail to achieve an effective treatment response. Understanding how gene expression systems relate to treatment responses may be critical for understanding antidepressant resistance. Transcriptome profiling allows for the simultaneous measurement of expression levels for thousands of genes and the opportunity to utilize this information to determine mechanisms underlying antidepressant treatment responses. However, the best way to relate this immense amount of information to treatment resistance remains unclear. We take a novel approach to this question by examining dentate gyrus transcriptomes from the perspective of a stereotyped fluoxetine-induced gene expression program. Expression programs usually represent stereotyped changes in expression levels that occur as cells transition phenotypes. Fluoxetine will shift transcriptomes so they lie somewhere between a baseline state and a full-response at the end of the program. The position along this fluoxetine-induced gene expression program (program status) was measured using principal components analysis (PCA). The same expression program was initiated in treatment-responsive and resistant mice but treatment response was associated with further progression along the fluoxetine-induced gene expression program. The study of treatment-related differences in gene expression program status represents a novel way to conceptualize differences in treatment responses at a transcriptome level. Understanding how antidepressant-induced gene expression program progression is modulated represents an important area for future research and could guide efforts to develop novel augmentation strategies for antidepressant treatment resistant individuals.

Publication Title

Global state measures of the dentate gyrus gene expression system predict antidepressant-sensitive behaviors.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE64578
Comparative analysis of ovine fetal skeletal muscle gene expression: control and intrauterine growth restriction (IUGR)
  • organism-icon Ovis aries
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Impaired muscle growth as a result of IUGR is a major contributor to lifelong reductions in muscle mass (sarcopenia) and metabolic disease risk. We use an ovine model of chronic placental insufficiency which restricts nutrient supply from mother to fetus and results in intrauterine growth restriction. In our model of placental insufficiency and IUGR, fetal hindlimb muscles weigh less than normally-grown control fetuses and have smaller myofiber diameters.

Publication Title

Myoblast replication is reduced in the IUGR fetus despite maintained proliferative capacity in vitro.

Sample Metadata Fields

Specimen part

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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

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accession-icon GSE67766
Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE67628
The effect of SUZ12 knockdown on the responsivness of IFNg Stimulated Genes
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanWG-6 v3.0 expression beadchip

Description

We studied the effect of knowking down SUZ12 +/- knowckdown of BRM on the responsivness of IFNg stimulated genes. Cells were transfected with siSZU12+/-siBRM or control siRNA+/-siBRM. Cells were then left untreated or exposed to IFNg for 6 hours.

Publication Title

Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways.

Sample Metadata Fields

Cell line

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accession-icon GSE67626
The effect of BRG1 on the responsivness of IFNg Stimulated Genes
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanWG-6 v3.0 expression beadchip

Description

We studied the effect of reconstitution of BRG1 in BRG1-deficient cells on the responsivness of IFNg stimulated genes. Cells were infected with control adenovirus or BRG1-encoding virus. Cells were then left untreated or exposed to IFNg for 6 hours.

Publication Title

Cancer Cells Hijack PRC2 to Modify Multiple Cytokine Pathways.

Sample Metadata Fields

Cell line

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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

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accession-icon GSE40349
Expression data from either growing IMR90 human fibroblasts or senescent IMR90 cells with Ras expression and indicated hairpins
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Oncogene-induced senescence is an anti-proliferative stress response program that acts as a fail-safe mechanism to limit oncogenic transformation and is regulated by the retinoblastoma protein (RB) and p53 tumor suppressor pathways. We identify the atypical E2F family member E2F7 as the only E2F transcription factor potently upregulated during oncogene-induced senescence, a setting where it acts in response to p53 as a direct transcriptional target. Once induced, E2F7 binds and represses a series of E2F target genes and cooperates with RB to efficiently promote cell cycle arrest and limit oncogenic transformation. Disruption of RB triggers a further increase in E2F7, which induces a second cell cycle checkpoint that prevents unconstrained cell division despite aberrant DNA replication. Mechanistically, E2F7 compensates for the loss of RB in repressing mitotic E2F target genes.

Publication Title

The atypical E2F family member E2F7 couples the p53 and RB pathways during cellular senescence.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE102397
Smooth muscle cell mineralocorticoid receptor regulation of vascular mRNAs with aging
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used a smooth muscle cell-specific mineralocorticoid receptor knockout mouse to generate young and aged MR-intact and SMC-MR-KO aortic mRNA to examine the effect of age on vascular mRNA alterations in the presence and absence of SMC-MR.

Publication Title

Smooth Muscle Cell-Mineralocorticoid Receptor as a Mediator of Cardiovascular Stiffness With Aging.

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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