Precise spatiotemporal control of mRNA translation machinery is essential to proper development of highly complex systems like the neocortex. Here, we show that an RNA-binding protein, Hu antigen R (HuR), regulates both neocorticogenesis and specificity of neocortical translation machinery in a developmental stage-dependent manner in mice. Neocortical absence of HuR alters the phosphorylation states of the initiation and elongation factors of the core translation machinery. In addition, HuR regulates the temporally specific positioning of functionally related mRNAs into the active translation sites, the polysomes. HuR also determines the specificity of neocortical polysomes by defining their combinatorial composition of ribosomal proteins and initiation and elongation factors. For some of the HuR-dependent proteins, the association with polysomes depends on the eIF2 alpha kinase 4 (eIF2ak4), which associated with HuR in prenatal developing neocortices. Finally, we found that deletion of HuR prior to embryonic day 10 (E10) disrupts both neocortical lamination and formation of the main neocortical commissure, the corpus callosum. Our study identifies a crucial role for HuR in neocortical development as a translational gatekeeper for functionally related mRNA subgroups and polysomal protein specificity. Overall design: Cortex was dissected from WT and HuR cKO mouse pups at embryonic day 13 (E13) or the day of birth (P0).
Thalamic WNT3 Secretion Spatiotemporally Regulates the Neocortical Ribosome Signature and mRNA Translation to Specify Neocortical Cell Subtypes.
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View SamplesQuantitative Analysis of cortical transcriptomes through Next Generation Sequencing (RNA-Seq) from wild-type mice, wild-type mice treated with IL1b (200 ng/mouse, 14h), IL-1R8-/- mice and IL-1R8-/- mice treated with IL1b antagonist Anakinra (25 mg/kg per day for 3 consecutive days, i.p. administration). mRNA profiles of cortical tissue from adult wild-type mice, wild-type mice treated with IL1b (200 ng/kg, 14h), IL-1R8-/- mice (Garlanda et al., 2004), and IL-1R8-/- mice treated with Anakinra (25 mg/kg per day for 3 consecutive days, i.p. administration) were generated by next-generation sequencing (RNA-seq) using Illumina HiSeq 2500 apparatus in paired-end configuration (2x125bp). Each condition was assessed in triplicate (12 mRNA-seq libraries) and, to reduce biological variability, each mRNA library was generated from pooled total RNA isolated from cortical tissue of 3 individual mice. In total, 9 mice per condition were used. Libraries were stranded and multiplexed. To increase sequencing depth, libraries were sequenced in two different lanes. All the libraries were loaded in each of the two lanes. Quality control of the raw data was performed with FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Libraries were trimmed for adapter removal using Trimmomatic (Bolger et al., 2014) and mapped to reference genome (Ensembl GRCm38) using TopHat2 (Kim et al., 2013) and Bowtie2 (Langmead et al., 2009). Library sizes of primary mapped reads were between 70 and 96 million reads. Samtools was used to manipulate BAM files (Li et al., 2009). For calling of differentially expressed genes (DEG), mapped reads were counted with HTSeq v0.6.1 (Anders et al., 2014) and count tables were analysed using DeSeq2 v1.10.1 R-package (Love et al., 2014) with a design of one factor with four levels (“wild-type”, “wild-type + IL1?”, “IL-1R8-/-”, “IL-1R8-/- + Anakinra"), and differences between groups were tested using contrasts for wild-type + IL1b versus wild-type; IL-1R8-/- versus wild-type; IL-1R8-/- + Kineret versus wild-type. For consideration of differentially regulated genes between conditions, we used adjusted p-value < 0.1 or adjusted p-value < 0.05 as indicated in the manuscript. Overall design: mRNA profiles in adult mouse cerebral cortex of wild type (WT), WT mice treated with IL1b (200 ng/kg, 14h), IL-1R8-/- mice, and IL-1R8-/- mice treated with IL1b antagonist Anakinra (25 mg/kg per day for 3 consecutive days, i.p. administration) were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Each sample was prepared by pooling cortical tissue from 3 idenpendent mice.
Lack of IL-1R8 in neurons causes hyperactivation of IL-1 receptor pathway and induces MECP2-dependent synaptic defects.
Treatment, Subject
View SamplesWe found that hyperglycemia and elevated fatty acids in diabetes could activate protein kinase C- isoforms and selectively induce insulin resistance via inhibiting vascular insulin signaling.
Insulin decreases atherosclerosis by inducing endothelin receptor B expression.
Age, Specimen part, Disease, Disease stage, Treatment
View SamplesHere we are using RNA-Seq to study the effect of PRR14L knockdown on transcriptome of hematopoietic cells differentiated towards the granulomonocytic lineage. Overall design: RNAseq was performed on individual CFU-GM with shRNA-mediated PRR14L knockdown and scramble control to study the effects of PRR14L knockdown on the transcriptome of hematopoietic cells differentiated towards the granulomonocytic lineage.
PRR14L mutations are associated with chromosome 22 acquired uniparental disomy, age-related clonal hematopoiesis and myeloid neoplasia.
Specimen part, Subject
View Samples10 day old seedlings were treated with 5uM of the cytokinin Benzyladenine(BA)or DMSO at 15min, 45min, 120min, 480min and 1440min
Expression profiling of cytokinin action in Arabidopsis.
Age, Compound, Time
View SamplesThese E. coli strains were grown with various signaling molecules and the expression profiles were determined.
Global effects of the cell-to-cell signaling molecules autoinducer-2, autoinducer-3, and epinephrine in a luxS mutant of enterohemorrhagic Escherichia coli.
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View SamplesEnterohemorrhagic E. coli (EHEC) colonizes the large intestine and causes attaching and effacing lesions (AE). Most of the genes involved in the formation of AE lesions are encoded within a chromosomal pathogenicity island termed the Locus of Enterocyte Effacement (LEE). The LysR-like transcriptional factor QseA regulates the LEE by binding directly to the regulatory region of ler. Here, we performed transcriptome analyses comparing WT EHEC and the isogenic qseA mutant in order to elucidate the extent of QseAs role in gene regulation in EHEC. The following results compare genes that were up-regulated and down-regulated ! 2-fold in the qseA mutant strain compared to the WT strain. At mid-exponential growth, 222 genes were up-regulated and 1874 were downregulated. At late-exponential growth, a total of 55 genes were up-regulated and 605 genes were down-regulated. During mid-exponential growth, QseA represses its own transcription, whereas during late-logarithmic growth, QseA activates expression of the LEE genes as well as non-LEE encoded effector proteins. During both growth phases, several genes carried in O-islands, were activated by QseA, whereas genes involved in cell metabolism were repressed. We also performed electrophoretic mobility shift assays, competition experiments, and DNAseI footprints, and the results suggested that QseA directly binds both the ler proximal and distal promoters, its own promoter, as well as promoters of genes encoded in EHEC-specific O-islands. Additionally, we mapped the transcriptional start site of qseA, leading to the identification of two promoter sequences. Taken together, these results indicate that QseA acts as a global regulator in EHEC, coordinating expression of virulence genes.
The LysR-type regulator QseA regulates both characterized and putative virulence genes in enterohaemorrhagic Escherichia coli O157:H7.
No sample metadata fields
View SamplesTransgenerational effects of parental metabolic state have been shown, but the mechanism is still unclear. Here we present transcriptome sequencing data from AKHR heterozygous F1 progeny, either from obese maternal or paternal parents, compared to genetically matched heterozygous controls or to wild-type controls Overall design: 3 AKHR heterozygous samples descended from obese maternal parents, 3 AKHR heterozygous samples descended from obese paternal parents, 3 AKHR heterozygous samples descended from non-obese parents, and 3 wild-type controls, independent biological replicates and independent experimental replicates (1 set of samples from each experimental replicate)
Parental obesity leads to metabolic changes in the F2 generation in <i>Drosophila</i>.
Specimen part, Subject
View SamplesRegulatory T cells (Treg cells) expressing the forkhead family transcription factor Foxp3 are critical mediators of dominant immune tolerance to self. Most Treg cells constitutively express the high-affinity interleukin 2 (IL-2) receptor alpha-chain (CD25); however, the precise function of IL-2 in Treg cell biology has remained controversial. To directly assess the effect of IL-2 signaling on Treg cell development and function, we analyzed mice containing the Foxp3gfp knock-in allele that were genetically deficient in either IL-2 (Il2-/-) or CD25 (Il2ra-/-). We found that IL-2 signaling was dispensable for the induction of Foxp3 expression in thymocytes from these mice, which indicated that IL-2 signaling does not have a nonredundant function in the development of Treg cells. Unexpectedly, Il2-/- and Il2ra-/- Treg cells were fully able to suppress T cell proliferation in vitro. In contrast, Foxp3 was not expressed in thymocytes or peripheral T cells from Il2rg-/- mice. Gene expression analysis showed that IL-2 signaling was required for maintenance of the expression of genes involved in the regulation of cell growth and metabolism. Thus, IL-2 signaling seems to be critically required for maintaining the homeostasis and competitive fitness of Treg cells in vivo.
A function for interleukin 2 in Foxp3-expressing regulatory T cells.
No sample metadata fields
View SamplesEscherichia coli 8624 and the isogenic mutants in qseE, qseF and qseG are compared to determine the role that each of the genes play in regulation of the transcriptome. These results are verified by qRT-PCR and reveal the important role of this three-component signaling system.
The two-component system QseEF and the membrane protein QseG link adrenergic and stress sensing to bacterial pathogenesis.
No sample metadata fields
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