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accession-icon GSE106631
Ablation of the Mammalian Lectin Galectin-8 Induces Bone Defects in Mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Mice overexpressing galectin-8 (gal-8 Tg), a secreted mammalian lectin, exhibit enhanced bone turnover and reduced bone mass, similar to cases of post-menopausal osteoporosis. Gal-8 knockout (KO) mice have increased bone mass accrual at young age, but exhibit accelerated bone loss during adulthood. These phenotypes can be attributed to gal-8-mediated increase in RANKL expression that promotes osteoclastogenesis, combined with direct inhibition of osteoblasts differentiation, evident by reduced BMP signaling, SMAD phosphorylation, and reduced expression of osteoblasts differentiation markers OSX, OCN, RUNX2, DMP-1 and ALP. Gal-8 mRNA positively correlates with the mRNA levels of osteoclastogenic markers RANKL, TRAP and CTSK in human femurs. Collectively, these findings identify gal-8 as a new physiological player in the regulation of bone mass.

Publication Title

Ablation of the mammalian lectin galectin-8 induces bone defects in mice.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE77434
Functionally relevant prediction model for colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Filtered selection coupled with support vector machines generate functionally relevant prediction model for colorectal cancer. In this study, we built a model that uses Support Vector Machine (SVM) to classify cancer and normal samples using Affymetrix exon microarray data obtained from 90 samples of 48 patients diagnosed with CRC. From the 22,011 genes, we selected the 20, 30, 50, 100, 200, 300 and 500 genes most relevant to CRC using the Minimum-RedundancyMaximum-Relevance (mRMR) technique. With these gene sets, an SVM model was designed using four different kernel types (linear, polynomial, radial basis function and sigmoid).

Publication Title

Filtered selection coupled with support vector machines generate a functionally relevant prediction model for colorectal cancer.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage

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accession-icon SRP125388
Transcriptome dynamics at Arabidopsis graft junctions reveal an intertissue recognition mechanism that activates vascular regeneration
  • organism-icon Arabidopsis thaliana
  • sample-icon 81 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The ability for cut tissues to join together and form a chimeric organism is a remarkable property of many plants, however, grafting is poorly characterized at the molecular level. To better understand this process we monitored genome-wide temporal and spatial gene expression changes in grafted Arabidopsis thaliana hypocotyls. Tissues above and below the graft rapidly developed an asymmetry such that many genes were more highly expressed on one side than the other. This asymmetry correlated with sugar responsive genes and we observed an accumulation of starch above the graft that decreased along with asymmetry once the sugar-transporting vascular tissues reconnected. Despite the initial starvation response below the graft, many genes associated with vascular formation were rapidly activated in grafted tissues but not in cut and separated tissues indicating that a recognition mechanism activated that was independent of functional vascular connections. Auxin which is transported cell-to-cell, had a rapidly elevated response that was symmetric, suggesting that auxin was perceived by the root within hours of tissue attachment to activate the vascular regeneration process. A subset of genes were expressed only in grafted tissues, indicating that wound healing proceeded via different mechanisms depending on the presence or absence of adjoining tissues. Such a recognition process could have broader relevance for tissue regeneration, inter-tissue communication and tissue fusion events. Overall design: We analyzed the poly-adenylated transcriptomes of Arabidopsis thaliana hypocotyle tissue during grafting. Our dataset contains 82 strand-specific samples, whereas each condition is represented by two biological replicates.

Publication Title

Transcriptome dynamics at <i>Arabidopsis</i> graft junctions reveal an intertissue recognition mechanism that activates vascular regeneration.

Sample Metadata Fields

Subject

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accession-icon GSE90763
A model of exposure to extreme environmental heat uncovers the human transcriptome to heat stress
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The molecular mechanisms by which individuals subjected to environmental heat stress either adapt or develop heat-related complications are not well understood. We analysed the changes in blood mononuclear gene expression patterns in human volunteers exposed to an extreme heat in a sauna (temperature of 78 6 C).

Publication Title

A Model of Exposure to Extreme Environmental Heat Uncovers the Human Transcriptome to Heat Stress.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment, Subject, Time

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accession-icon GSE55588
Identification of activity-induced Npas4-regulated genes in cortical inhibitory and excitatory neurons (array)
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify the activity-induced gene expression programs in inhibitory and excitatory neurons, we analyzed RNA extracted from cultured E14 mouse MGE- and CTX-derived neurons (DIV 10) after these cultures were membrane-depolarized for 0, 1 and 6 hrs with 55mM extracellular KCl. To identify the gene programs regulated in these cells by the activity-induced early-response transcription factor Npas4, we repeated the same experiment in the MGE- and CTX-cultures lacking Npas4 (Npas4-KO).

Publication Title

Npas4 regulates excitatory-inhibitory balance within neural circuits through cell-type-specific gene programs.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE34268
Expression data from normal and MDS erythroids cell cutlures ex vivo
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

CD34 positive cells of bone marrow samples from normal and MDS samples were cultured ex vivo into erythroid conditions.

Publication Title

Defective nuclear localization of Hsp70 is associated with dyserythropoiesis and GATA-1 cleavage in myelodysplastic syndromes.

Sample Metadata Fields

Specimen part

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accession-icon GSE71618
Expression data from DD neurons isolated from early L1 stage C. elegans larvae.
  • organism-icon Caenorhabditis elegans
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix C. elegans Genome Array (celegans)

Description

Six DD class GABAergic neurons are generated in the embryo to synapse with ventral muscles and receive input from cholinergic neurons in the dorsal nerve cord. After hatching and toward the end of the first larval (L1) stage, DD neurons reverse polarity (i.e., synapse with dorsal muscles, receive ventral cholinergic inputs). Expression profiles were generated from DD neurons in the early L1 stage before the initiation of the remodeling program.

Publication Title

Transcriptional Control of Synaptic Remodeling through Regulated Expression of an Immunoglobulin Superfamily Protein.

Sample Metadata Fields

Specimen part

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accession-icon GSE73022
Inflammation promotes a conversion of astrocytes into neural progenitor cells via NF-kB activation
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Brain inflammation, a common feature in neurodegenerative diseases, is a complex series of events, which can be detrimental and even lead to neuronal death. Nonetheless, several studies suggest that inflammatory signals are also positively influencing neural cell proliferation, survival, migration and differentiation. Recently, correlative studies suggested that astrocytes are able to dedifferentiate upon injury, and may thereby re-acquire neural stem cells (NSC) potential. However, the mechanism underlying this dedifferentiation process upon injury remains unclear. In this study, we find that during the early response of reactive gliosis, inflammation induces a conversion of mature astrocytes into neural progenitors. A TNF treatment induces the decrease of specific astrocyte markers, such as GFAP or genes related to glycogen metabolism, while a subset of these cells re-express immaturity markers, such as CD44, Musashi-1 and Oct4. Thus, TNF treatment results in the appearance of cells that exhibit a neural progenitor phenotype and are able to proliferate and differentiate into neurons and/or astrocytes.

Publication Title

Inflammation Promotes a Conversion of Astrocytes into Neural Progenitor Cells via NF-κB Activation.

Sample Metadata Fields

Specimen part

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accession-icon SRP056551
Length-dependent gene misregulation in Rett syndrome (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Disruption of the MECP2 gene leads to Rett syndrome (RTT), a severe neurological disorder with features of autism. MECP2 encodes a methyl-DNA-binding protein that is proposed to function as a transcriptional repressor, but, despite numerous studies examining neuronal gene expression in MeCP2 mutants, no coherent model has emerged for how MeCP2 regulates transcription. Here we identify a genome-wide length-dependent increase in the expression of long genes in neurons lacking MeCP2. This gene misregulation occurs in human RTT brains and correlates with onset and severity of phenotypes in Mecp2 mutant mice, suggesting that the disruption of long gene expression contributes to RTT pathology. We present evidence that MeCP2 represses long genes by binding to brain-enriched, methylated CA dinucleotides within genes and show that loss of methylated CA in the brain recapitulates gene expression defects observed in MeCP2 mutants. We find that long genes encode proteins with neuronal functions, and overlap substantially with genes that have been implicated in autism and Fragile X syndrome. Reversing the overexpression of long genes in neurons lacking MeCP2 can improve some RTT-associated cellular deficits. These findings suggest that a function of MeCP2 in the mammalian brain is to temper the expression of genes in a length-dependent manner, and that mutations in MeCP2 and possibly other autism genes may cause neurological dysfunction by disrupting the expression of long genes in the brain. Overall design: Total RNA-seq Data from the visual cortex of wild-type and MeCP2 knockout animals at 8-10 weeks of age

Publication Title

Disruption of DNA-methylation-dependent long gene repression in Rett syndrome.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP004901
mut-16 and other mutator-class genes modulate 22G and 26G siRNA pathways in Caenorhabditis elegans
  • organism-icon Caenorhabditis elegans
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Argonaute-associated siRNAs and Piwi-associated piRNAs have overlapping roles in silencing mobile genetic elements in animals. In C. elegans, mutator-class (mut) genes mediate siRNA-guided repression of transposons as well as exogenous RNA-directed gene silencing (RNAi), but their roles in endogenous RNA silencing pathways are not well understood. To characterize the endogenous small RNAs dependent on mutator-class genes, small RNA populations from a null allele of mut-16, as well as a regulatory mut-16(mg461) allele that disables only somatic RNAi, were subjected to deep sequencing. Overall design: Small RNA analysis in wild type and mut-16 mutant C. elegans strains

Publication Title

mut-16 and other mutator class genes modulate 22G and 26G siRNA pathways in Caenorhabditis elegans.

Sample Metadata Fields

Cell line, Subject

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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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