Purpose: mRNA translation into protein is highly regulated, but the role of mRNA isoforms, noncoding RNAs (ncRNAs), and genetic variants has yet to be systematically studied. Using high-throughput sequencing (RNA-seq), we have measured cellular levels of mRNAs and ncRNAs, and their isoforms, in lymphoblast cell lines (LCL) and in polysomal fractions, the latter shown to yield strong correlations of mRNAs with expressed protein levels. Analysis of allelic RNA ratios at heterozygous SNPs served to reveal genetic factors in ribosomal loading. Methods: RNA-seq was performed on cytosolic extracts and polysomal fractions (3 ribosomes or more) from three lymphoblastoid cell lines. As each RNA fraction was amplified (NuGen kit), and relative contributions from various RNA classes differed between cytosol and polysomes, the fraction of any given RNA species loaded onto polysomes was difficult to quantitate. Therefore, we focused on relative recovery of the various RNA classes and rank order of single RNAs compared to total RNA. Results: RNA-seq of coding and non-coding RNAs (including microRNAs) in three LCLs revealed significant differences in polysomal loading of individual RNAs and isoforms, and between RNA classes. Moreover, correlated distribution between protein-coding and non-coding RNAs suggests possible interactions between them. Allele-selective RNA recruitment revealed strong genetic influence on polysomal loading for multiple RNAs. Allelic effects can be attributed to generation of different RNA isoforms before polysomal loading or to differential loading onto polysomes, the latter defining a direct genetic effect on translation. Several variants and genes identified by this approach are also associated with RNA expression and clinical phenotypes in various databases. Conclusions: These results provide a novel approach using complete transcriptome RNA-seq to study polysomal RNA recruitment and regulatory variants affecting protein translation. Overall design: cells from 3 samples were grown to 5x105 cells/mL density in T75 tissue culture flask and harvested, total RNA and polysome bound RNA was sequenced by Ion Proton
Allele-Selective Transcriptome Recruitment to Polysomes Primed for Translation: Protein-Coding and Noncoding RNAs, and RNA Isoforms.
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View SamplesThis SuperSeries is composed of the SubSeries listed below.
Cyclical expression of the Notch/Wnt regulator Nrarp requires modulation by Dll3 in somitogenesis.
Age, Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Identification of oscillatory genes in somitogenesis from functional genomic analysis of a human mesenchymal stem cell model.
Specimen part
View SamplesDuring somitogenesis, oscillatory expression of genes in the notch and wnt signaling pathways plays a key role in regulating segmentation. These oscillations in expression levels are elements of a species-specific developmental mechanism. To date, the periodicity and components of the human clock remain unstudied. Here we show that a human mesenchymal stem/stromal cell (MSC) model can be induced to display oscillatory gene expression. We observed that the known cycling gene HES1 oscillated with a 5 hour period, consistent with available data on the rate of somitogenesis in humans. We also observed cycling of Hes1 expression in mouse C2C12 myoblasts with a period of 2 hours, consistent with previous in vitro and embryonic studies. Furthermore, we used microarray and quantitative PCR (Q-PCR) analysis to identify additional genes that display oscillatory expression both in vitro and in mouse embryos. We confirmed oscillatory expression of the notch pathway gene Maml3 and the wnt pathway gene Nkd2 by whole mount in situ hybridization analysis and Q-PCR. Expression patterns of these genes were disrupted in Wnt3atm1Amc mutants but not in Dll3pu mutants. Our results demonstrate that human and mouse in vitro models can recapitulate oscillatory expression observed in embryo and that a number of genes in multiple developmental pathways display dynamic expression in vitro.
Identification of oscillatory genes in somitogenesis from functional genomic analysis of a human mesenchymal stem cell model.
No sample metadata fields
View SamplesDuring somitogenesis, oscillatory expression of genes in the notch and wnt signaling pathways plays a key role in regulating segmentation. These oscillations in expression levels are elements of a species-specific developmental mechanism. To date, the periodicity and components of the human clock remain unstudied. Here we show that a human mesenchymal stem/stromal cell (MSC) model can be induced to display oscillatory gene expression. We observed that the known cycling gene HES1 oscillated with a 5 hour period, consistent with available data on the rate of somitogenesis in humans. We also observed cycling of Hes1 expression in mouse C2C12 myoblasts with a period of 2 hours, consistent with previous in vitro and embryonic studies. Furthermore, we used microarray and quantitative PCR (Q-PCR) analysis to identify additional genes that display oscillatory expression both in vitro and in mouse embryos. We confirmed oscillatory expression of the notch pathway gene Maml3 and the wnt pathway gene Nkd2 by whole mount in situ hybridization analysis and Q-PCR. Expression patterns of these genes were disrupted in Wnt3atm1Amc mutants but not in Dll3pu mutants. Our results demonstrate that human and mouse in vitro models can recapitulate oscillatory expression observed in embryo and that a number of genes in multiple developmental pathways display dynamic expression in vitro.
Identification of oscillatory genes in somitogenesis from functional genomic analysis of a human mesenchymal stem cell model.
Specimen part
View SamplesReactive oxygen species (ROS) are key signalling molecules that regulate growth and development and coordinate responses to biotic and abiotic stresses. ROS homeostasis is controlled through a complex network of ROS production and scavenging enzymes. Recently, the first genes involved in ROS perception and signal transduction have been identified and, currently, we are facing the challenge to uncover the other players within the ROS regulatory gene network. The specificity of ensuing cellular responses depends on the type of ROS and their subcellular production sites. Various experimental systems, including catalase-deficient plants, in combination with genome-wide expression studies demonstrated that increased hydrogen peroxide (H2O2) levels significantly affect the transcriptome of plants and are capable of launching both defence responses and cell death events.
Spatial H2O2 signaling specificity: H2O2 from chloroplasts and peroxisomes modulates the plant transcriptome differentially.
Age, Specimen part
View SamplesMutations in the Notch1 receptor and delta-like 3 (Dll3) ligand cause global disruptions in axial segmental patterning. Genetic interactions between members of the notch pathway have previously been shown to cause patterning defects not observed in single gene disruptions. We examined Dll3-Notch1 compound mouse mutants to screen for potential gene interactions. While mice heterozygous at either locus appeared normal, 30% of Dll3-Notch1 double heterozygous animals exhibited localized, stochastic segmental anomalies similar to human congenital vertebral defects. Unexpectedly, double heterozygous mice also displayed statistically significant decreases in mandibular height and elongated maxillary hard palate. Examination of somite-stage embryos and perinatal anatomy and histology did not reveal any organ defects, so we used microarray-based analysis of Dll3 and Notch1 mutant embryos to identify gene targets that may be involved in notch-regulated segmental or craniofacial development. Therefore, Dll3-Notch1 double heterozygous mice model human congenital scoliosis and craniofacial disorders.
Dll3 and Notch1 genetic interactions model axial segmental and craniofacial malformations of human birth defects.
Specimen part
View SamplesIL-21 induces B cell activation, and differentiation into antibody-secreting plasmblasts in vitro. This process is compromised in transitional B cells to gain of function mutations in PIK3CD
Germline-activating mutations in <i>PIK3CD</i> compromise B cell development and function.
Specimen part, Disease
View SamplesDectin1 controls the recruitment of TLR9 to -1,3 glucan beads containing phagosomes. We sought to determine whether Dectin-1 also plays a role in controlling TLR9 dependent gene expression.
Dectin-1 Controls TLR9 Trafficking to Phagosomes Containing β-1,3 Glucan.
Specimen part
View SamplesAgonistic encounters with conspecifics are powerful effectors of future behavior that evoke strong and durable neurobiological responses. We recently identified a deeply conserved “toolkit” of transcription factors (TFs) that respond to social challenge across diverse species in coordination with distinct conserved signatures of energy metabolism and developmental signaling. To further characterize this response and its transcriptional drivers in mice, we examined gene expression and chromatin landscape in the hypothalamus, frontal cortex, and amygdala of socially challenged and control animals over time. The data revealed a complex spatiotemporal pattern of metabolic, neural, and developmental transcriptomic signatures coordinated with significant shifts in the accessibility of distally located regulatory elements. Transcriptional regulatory network and motif analyses revealed an interacting network of TFs correlated with differential gene expression across the tissues and time points we assayed, including the early-acting and conserved regulator of energy metabolism and development, ESRRA. Cell-type deconvolution analysis attributed the early metabolic activity implicated by our transcriptomic analysis primarily to oligodendrocytes and the developmental signal to neurons, and we confirmed the presence of ESRRA in both oligodendrocytes and neurons throughout the brain. To assess the role of this nuclear receptor as an early trigger of this coordinated response, we used chromatin immunoprecipitation to map ESRRA binding sites to a set of genes involved in metabolic regulation and enriched in challenge-associated differentially expressed genes. Together, these data support a rich model linking metabolic and neural responses to social challenge, and identify regulatory drivers with unprecedented tissue and temporal resolution. Overall design: Territory-holding resident mice were males from the C57BL/6J strain co-housed with females to establish a territory. Intruder mice were males from the BALB/C strain. Animals were housed in a 12L:12D animal room until the resident-intruder paradigm was undertaken. Before behavior work, male C57BL/6J animals were cohoused with members of the same sex for two weeks, housed alone for a week, and then housed with a single C57BL/6J female for a week to establish a territory. Thus, before behavior work, the animals were allowed to habituate to our animal facility for four weeks. Three hours before testing, females were removed from the resident males’ cages. Immediately before the trial, residents’ cages were inserted into a blank-walled chamber. For experimental mice, we introduced unfamiliar intruder BALB/cJ male mice. Intruders were contained within a stainless steel wire ~1cm mesh cage to prevent animals from making contact and injuring one another. Control animals were exposed to the same cage, but containing a paper cup instead of an intruder mouse. The cages were removed in both intruder and control conditions after five minutes. After exposure to the intruder or control stimulus, resident animals were allowed to sit in a dark and quiet place for either 30 minutes, 60 minutes, or 120 minutes. Residents were then immediately euthanized by cervical dislocation. As soon as animals were euthanized, we extracted three brain regions of interest from our animals: frontal cortex, hypothalamus, and amygdala. This yielded tissue samples from which RNA was extracted. The RNA samples were pooled to generate libraries for sequencing. For control mice there were 5 replicates for all combinations of time after stimulus (30, 60, 120 minutes) and brain region (frontal cortex, hypothalamus, amygdala) except for hypothalamus from control mice after 30 minutes (3 replicates) and for frontal cortex from control mice after 120 minutes (6 replicates). For experimental mice there were 5 replicates for all combinations of time after stimulus (30, 60, 120 minutes) and brain region (frontal cortex, hypothalamus, amygdala) except for frontal cortex from experimental mice after 120 minutes (6 replicates).
Transcriptional regulatory dynamics drive coordinated metabolic and neural response to social challenge in mice.
Subject
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