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accession-icon GSE6751
Expression profiles of peripheral blood monocytes in periodontal therapy
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Periodontal infections have been associated with systemic inflammation and risk for atherosclerosis and vascular disease. We investigated the effects of comprehensive periodontal therapy on gene expression of peripheral blood monocytes. Approximately 1/3 of the patients showed substantial changes in expression in genes relevant to innate immunity, apoptosis, and cell signaling. We concluded that periodontal therapy may alter monocytic gene expression in a manner consistent with a systemic anti-inflammatory effect.

Publication Title

Periodontal therapy alters gene expression of peripheral blood monocytes.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE67838
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE67826
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Treatment of leukemia cells with 1,25-dihydroxyvitamin D3 may overcome their differentiation block and lead to the transition from myeloblasts to monocytes. To identify microRNA-mRNA networks relevant for myeloid differentiation, we profiled the expression of mRNAs and microRNAs associated to the low- and high-density ribosomal fractions in leukemic cells and in their differentiated monocytic counterpart. Intersection between mRNAs shifted across the fractions after treatment with putative target genes of modulated microRNAs showed a series of molecular networks relevant for the monocyte cell fate determination

Publication Title

Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE139380
Aberrant expression of RSK1 characterizes high-grade gliomas with immune infiltration
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

The p90 ribosomal S6 kinase (RSK) family, a downstream target of Ras/extracellular signal-regulated kinase (ERK) signaling, can mediate cross-talk with the mammalian target of rapamycin complex 1 (mTORC1) pathway. As RSK connects two oncogenic pathways in gliomas, we investigated the protein levels of the RSK isoforms RSK1-4 in non-tumoral brain (NB) and grade I-IV gliomas. RSK4 expression was not detected in any brain tissues, whereas RSK3 expression was very low, with GBMs demonstrating the lowest RSK3 protein levels. When compared to NB or low-grade gliomas (LGG), a group of glioblastomas (RSK1hi) that excluded long-survivor cases expressed higher levels of RSK1. No difference was observed in RSK2 median-expression levels among NB and gliomas; however, high levels of RSK2 in glioblastomas (GBM) were associated with worse survival. RSK1hi and, to a lesser extent, RSK2hi GBMs, showed higher levels of phosphorylated RSK, which indicates RSK activation. Transcriptome analysis indicated that most RSK1hi GBMs belonged to the mesenchymal subtype, and RSK1 expression strongly correlated with gene expression signature of immune infiltrates, in particular of activated-natural killer cells and M2 macrophages. In an independent cohort, we confirmed that RSK1hi GBMs exclude long-survivors, and RSK1 expression was associated with high protein levels of the mesenchymal subtype marker LAPTM5, as well as with high expression of CD68, which indicated the presence of infiltrating immune cells. An RSK1 signature was obtained based on differentially expressed mRNAs and validated in public glioma datasets. Enrichment of RSK1 signature followed glioma progression, recapitulating RSK1 protein expression, and was associated with worse survival not only in GBM but also in LGG. In conclusion, both RSK1 and RSK2 associate with glioma malignity, but displaying isoform-specific peculiarities. The progression-dependent expression and association with immune infiltration, suggests RSK1 as a potential progression marker and therapeutic target for gliomas.

Publication Title

Aberrant expression of RSK1 characterizes high-grade gliomas with immune infiltration.

Sample Metadata Fields

Specimen part

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accession-icon GSE59714
Gene expression analysis of Influenza vaccine response in Young and Old
  • organism-icon Homo sapiens
  • sample-icon 156 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE59654
Gene expression analysis of Influenza vaccine response in Young and Old - Year 2 - PBMC
  • organism-icon Homo sapiens
  • sample-icon 156 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We profiled gene expression from a stratified cohort of subjects to define influenza vaccine response in Young and Old

Publication Title

Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP094496
Correlating anatomy and function with gene expression in individual neurons by combining in vivo labeling, patch clamp and single cell RNA-seq
  • organism-icon Mus musculus
  • sample-icon 1692 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina HiSeq 4000

Description

The classification of neurons into distinct types is an ongoing effort aimed at revealing and understanding the diversity of the components of the nervous system. Recently available methods allow us to determine the gene expression pattern of individual neurons in the mammalian cerebral cortex to generate powerful categorization schemes. For a thorough understanding of neuronal diversity such genetic categorization schemes need to be combined with traditional classification parameters like position, axonal projection or response properties to sensory stimulation. Here we describe a method to link the gene expression of individual neurons with their position, axonal projection or sensory response properties. Neurons are labeled in vivo based on their anatomical or functional properties and, using patch clamp pipettes, their RNA individually harvested in vitro for RNAseq. With this method we can determine the genetic expression pattern of functionally and anatomically identified individual neurons. Overall design: single cortical neurons were patch clamped and the RNA harvested; single neuron mRNA profiles were generated by deep sequencing

Publication Title

Correlating Anatomy and Function with Gene Expression in Individual Neurons by Combining <i>in Vivo</i> Labeling, Patch Clamp, and Single Cell RNA-seq.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE72046
Transcriptome profiles of mice intestine and liver upon infection with Salmonella typhimurium (MC71-TT and MC71-DcdtB)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Bacterial genotoxins, produced by several Gram-negative bacteria, induce DNA damage in the target cells. While the responses induced in the host cells have been extensively studied in vitro, the role of the genotoxins as effectors during the course of acute and chronic infections remains poorly characterized.To address this issue, we assessed the effects of the Salmonella enterica genotoxin, known as typhoid toxin, in in vivo models of murine chronic infections. Immunocompetent mice were chronically infected with isogenic S. enterica, serovar Typhimurium (S. Typhimurium) strains, encoding either a functional (MC71-TT) or an inactive (MC71-DcdtB) typhoid toxin.

Publication Title

The Typhoid Toxin Promotes Host Survival and the Establishment of a Persistent Asymptomatic Infection.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16192
Unexpected expression of alpha- and beta-globin in mesencephalic dopaminergic neurons and glial cells
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

The mesencephalic dopaminergic (mDA) cell system is composed by two major groups of projecting cells in the Substantia Nigra (A9 neurons) and the Ventral Tegmental Area (A10 cells). A9 neurons form the nigrostriatal pathway and are involved in regulating voluntary movements and postural reflexes. Their selective degeneration leads to Parkinsons disease (PD). We used cDNA microarrays and nanoCAGE technology coupled with Laser Capture Microdissection (LCM) to characterize the intrinsic physiological properties of A9 DA neurons. Surprisingly, we found that these cells express alpha- and beta- chains of haemoglobin. Here we report that globin-immunoreactivity decorates the majority of A9 DA neurons, a subpopulation of cortical and hippocampal astrocytes as well as mature oligodendrocytes. This pattern of expression was confirmed in different mouse strains, in rat and human. This is the first report showing that haemoglobin is expressed in the Substantia Nigra of human post mortem brain. Our data suggest that the most famed oxygen-carrying globin is not exclusively restricted to the blood, but it may play a role in the normal physiology of the brain as well as in neurodegenerative disorders.

Publication Title

Unexpected expression of alpha- and beta-globin in mesencephalic dopaminergic neurons and glial cells.

Sample Metadata Fields

Cell line

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accession-icon GSE11826
Identifying alterations of gene expression induced by two teratogenic agents which induce a similar phenotype
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Samples used for hybridization consisted of non-pooled (NP) RNA extracts from 8 groups in each of two time periods after drug administration: oil vehicle treated control embryonic limb bud mesoderm and ectoderm, phosphate buffered saline vehicle control embryonic limb bud mesoderm and ectoderm, acetazolamide treated embryonic limb bud mesoderm and ectoderm, and cadmium sulfate treated embryonic limb bud mesoderm and ectoderm. Forty-eight hybridization experiments were on non-pooled (NP) individual RNA extracts.

Publication Title

Microarray analysis of murine limb bud ectoderm and mesoderm after exposure to cadmium or acetazolamide.

Sample Metadata Fields

No sample metadata fields

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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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