To find BMAL1-regulated genes in mice pituitary gland we performed a differential microarray from wild-type vs Bmal1-/- knock-out mice
Chromatin remodeling as a mechanism for circadian prolactin transcription: rhythmic NONO and SFPQ recruitment to HLTF.
Sex, Specimen part
View SamplesWe carried out RNA-sequencing (RNA-seq) of adult human postmortem neocortical brain tissue, and then correlated those expression values with the fMRI signal in each brain region Overall design: Ten cortical regions were included in the analysis: pre-motor cortex - PMV (BA6), dorsolateral prefrontal cortex – DLPFC (BA9), middle temporal gyrus – pMTG (BA21), superior temporal gyrus – pSTG (BA22), angular gyrus - AG (BA39), supramarginal gyrus - SMG (BA40), pars opercularis - POP (BA44), pars triangularis - PTr (BA45), middle frontal gyrus – MFG (BA46) and pars orbitalis - POrB (BA47). For each brain region, three or more samples from left adult brain hemispheres were collected (ages range from 33 to 49) and only males were included to avoid the effect of sex
Correspondence between Resting-State Activity and Brain Gene Expression.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.
Specimen part, Treatment
View SamplesTreatment 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
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.
Specimen part, Treatment
View SamplesPBMC from house dust mite (HDM) sensitized atopics were cultured in the presence or absence of HDM extract for 24 hours.
Distinguishing benign from pathologic TH2 immunity in atopic children.
No sample metadata fields
View SamplesPurpose: The goal of this study was to assess gene expression changes in neurons overexpressing SOX5 using human primary neuronal culture system. Methods: 6 samples each from control GFP and SOX5 overexpressing neurons were used to isolate total RNA using miRNeasy kit, Qiagen. We performed rRNA-depleted 69bp paired end stranded RNA-seq on neurons overexpressing either GFP or SOX5 tagged with GFP. Overexpression of SOX5 in neurons validated that a significant proportion of Attenuated cortical patterning (ACP) genes are regulated by SOX5, and that predicted SOX5 targets exhibit a net downregulation, consist with its repressive function. This supports the prediction that attenuated patterning of SOX5 between cortical regions contributes to direct alterations in SOX5 targets and likely to indirect alterations in SOX5 non-targets in the ACP set. delpleted 69 bp stranded RNA-seq in Overall design: SOX5 was overexpressed in primary human neuronal cultures using a lentiviral system. Briefly full-length human SOX5 gene was cloned in pLVU/GFP vector (gift from Lars Ittner [Addgene plasmid #24177]) using the gateway recombination technique. Lentivirus was produced in HEK293T cells using a second generation packaging vector system (psPAX2, a gift from Didier Trono [Addgene plasmid #12260] and pCMV-VSV-G, a gift from Bob Weinberg [Addgene plasmid #8454]) as described by Stewart et al., 200331. Primary human neurons were infected at plating at a multiplicity of infection (MOI) of 10 with either the SOX5 overexpressing construct or a control pLVU-GFP backbone vector. 14 days after infection, RNA from the samples were isolated using miRNeasy micro kit (Qiagen, Carlsbad) and 50bp paired-end libraries were prepared using SMARter Stranded Total RNA sample prep kit (Clontech) with rRNA depletion. Libraries were then multiplexed and sequenced with HiSeq 2500 instrument (Illumina).
Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism.
Specimen part, Treatment, Subject
View SamplesThe 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.
Aberrant expression of RSK1 characterizes high-grade gliomas with immune infiltration.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination.
No sample metadata fields
View SamplesWe profiled gene expression from a stratified cohort of subjects to define influenza vaccine response in Young and Old
Aging-dependent alterations in gene expression and a mitochondrial signature of responsiveness to human influenza vaccination.
No sample metadata fields
View SamplesThe 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
Correlating Anatomy and Function with Gene Expression in Individual Neurons by Combining <i>in Vivo</i> Labeling, Patch Clamp, and Single Cell RNA-seq.
Cell line, Subject
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