To identify distinct transcriptional patterns between the major subcortical dopamine targets commonly studied in addiction we studied differences in gene expression between the bed nucleus of the stria terminalis (BNST), nucleus accumbens (NAc), and dorsal striatum (dStr) using microarray analysis. We first tested for differences in expression of genes encoding transcripts for common neurotransmitter systems as well as calcium binding proteins routinely used in neuroanatomical delineation of brain regions. This a priori method revealed differential expression of corticotropin releasing hormone (Crh), the GABA transporter (Slc6a1), and prodynorphin (Pdyn) mRNAs as well as several others. Using a gene ontology tool, functional scoring analysis, and Ingenuity Pathway Analysis, we further identified several physiological pathways that were distinct among these brain regions. These two different analyses both identified calcium signaling, G15 coupled protein receptor signaling, and adenylate cyclase-related signaling as significantly different among the BNST, NAc, and dStr. These types of signaling pathways play important roles in, amongst other things, synaptic plasticity. Investigation of differential gene expression revealed several instances that may provide insight into reported differences in synaptic plasticity between these brain regions. The results support other studies suggesting that crucial pathways involved in neurotransmission are distinct among the BNST, NAc, and dStr, and provide insight into the potential use of pharmacological agents that may target region-specific signaling pathways. Further, these studies provide a framework for future mouse-mouse comparisons of transcriptional profiles after behavioral/pharmacological manipulation.
Microarray analysis reveals distinctive signaling between the bed nucleus of the stria terminalis, nucleus accumbens, and dorsal striatum.
No sample metadata fields
View SamplesWe perform RNA sequencing and ribosome profiling time course experiments to examine the effect of fully dysregulating all let-7 targets (in let-7(n2853) animals), partially dysregulating only LIN41 (in lin-41(xe11) animals) or fully dysregulating all let-7 targets while partially dysregulating LIN41 in lin-41(xe11); let-7(n2853) double mutant animals. We conclude that effects on gene expression in let-7 mutant animals are largely and quantitatively explained by dysregulation of LIN41 as its primary target. Furthermore, we identify direct LIN41 target genes regulated on the level of translation or mRNA abundance. Overall design: Total RNA-sequencing time course experiments sampling synchronized worm populations of different genetic backgrounds every two hours over the course of development from late L2/early L3 stage to late L4/Young adult stage.
LIN41 Post-transcriptionally Silences mRNAs by Two Distinct and Position-Dependent Mechanisms.
Cell line, Subject
View SamplesWe perform RNA sequencing and ribosome profiling time course experiments to examine the effect of fully dysregulating all let-7 targets (in let-7(n2853) animals), partially dysregulating only LIN41 (in lin-41(xe11) animals) or fully dysregulating all let-7 targets while partially dysregulating LIN41 in lin-41(xe11); let-7(n2853) double mutant animals. We conclude that effects on gene expression in let-7 mutant animals are largely and quantitatively explained by dysregulation of LIN41 as its primary target. Furthermore, we identify direct LIN41 target genes regulated on the level of translation or mRNA abundance. Overall design: Ribosome profiling time course experiments sampling synchronized worm populations of different genetic backgrounds every two hours over the course of development from late L2/early L3 stage to late L4/Young adult stage.
LIN41 Post-transcriptionally Silences mRNAs by Two Distinct and Position-Dependent Mechanisms.
Cell line, Subject
View SamplesRNA-binding proteins (RBPs) are critical regulators of gene expression and elucidating the interactions of RBPs with their RNA targets is necessary to understand how combinations of RBPs control transcriptome expression. The Quaking-related (QR) sub-family of STAR domain RBPs includes developmental regulators and tumor suppressors such as C. elegans GLD-1, which functions as a master regulator of germ line development. To understand how GLD-1 interacts with the transcriptome, we identified GLD-1 associated mRNAs by a ribonomic approach. The scale of GLD-1 mRNA interactions allowed us to determine rules governing GLD-1 target selection and to derive a predictive model where GLD-1 association with mRNA is based on the number and strength of 7-mer GLD-1 binding elements (GBEs) within UTRs. GLD-1/mRNA interactions were quantified, and predictions were verified both in vitro and in live animals, including by transplantation experiments where weak and strong GBEs imposed translational repression of increasing strength on a non-target mRNA.Importantly, this study provides a unique quantitative picture of how an RBP interacts with its mRNA targets. As combinatorial regulation by multiple RBPs is thought to regulate gene expression, quantification of RBP/mRNA interactions should be a way to predict and potentially modify biological outcomes of complex posttranscriptional regulatory networks, and our analysis suggests that such an approach is possible.
A quantitative RNA code for mRNA target selection by the germline fate determinant GLD-1.
Specimen part
View SamplesThe goal was to identify targets of the RNase REGE-1 by whole RNA sequencing. Overall design: mRNA profiling of C.elegans young adults of rege-1 knockdown or mock RNAi control performed in N2 as well as glp-1 background
Ribonuclease-Mediated Control of Body Fat.
Cell line, Subject
View SamplesEts-4 was previously identified as a suppressor of rege-1(rrr13) phenotype. The goal of this experiment was to identify down-stream regulators of ETS-4, which facilitate this suppression. Overall design: mRNA profiling of C.elegans young adults of ets-4 knockdown or mock RNAi control in the background of rege-1(rrr13)
Ribonuclease-Mediated Control of Body Fat.
Cell line, Subject
View SamplesWe present a basic characterization of the function of Y-box binding proteins in C. elegans. Besides playing an important role for fertility in the germline (all four CEY proteins), we found that the presence of CEY-1 and CEY-4 is essential for the assembly of larger polysomes in the soma. We therefore performed ribosome-profiling in combination with total RNA sequencing in wild type and cey-1,-4 double mutant animals to globally compare mRNA levels and their translation status. Overall design: Total RNA sequencing was peformed on RNA extacted from wild type and cey-1,-4 mutant animals in duplicates. Four samples in total.
Functional characterization of C. elegans Y-box-binding proteins reveals tissue-specific functions and a critical role in the formation of polysomes.
Cell line, Subject
View SamplesGene expression of P. aerruginosa changes after short-term exposure to ciprofloxacin at sub-inhibitory concentrations but the effect of long-term exposure which select for the most fitted subpopulations is not known.
The phenotypic evolution of Pseudomonas aeruginosa populations changes in the presence of subinhibitory concentrations of ciprofloxacin.
No sample metadata fields
View SamplesThe study evaluates potential protective effects of cerium oxide nanoparticles (nanoceria) against oxidative stress in muscle tissue, both on ground and in space
Modulation of gene expression in rat muscle cells following treatment with nanoceria in different gravity regimes.
Specimen part, Cell line, Treatment
View SamplesTranscriptional regulatory networks (TRNs) provide insight into cellular behavior by describing interactions between transcription factors (TFs) and their gene targets. The Assay for Transposase Accessible Chromatin (ATAC)-seq, coupled with transcription-factor motif analysis, provides indirect evidence of chromatin binding for hundreds of TFs genome-wide. Here, we propose methods for TRN inference in a mammalian setting, using ATAC-seq data to influence gene expression modeling. We rigorously test our methods in the context of T Helper Cell Type 17 (Th17) differentiation, generating new ATAC-seq data to complement existing Th17 genomic resources (plentiful gene expression data, TF knock-outs and ChIP-seq experiments). In this resource-rich mammalian setting our extensive benchmarking provides quantitative, genome-scale evaluation of TRN inference combining ATAC-seq and RNA-seq data. We refine and extend our previous Th17 TRN, using our new TRN inference methods to integrate all Th17 data (gene expression, ATAC-seq, TF KO, ChIP-seq). We highlight new roles for individual TFs and groups of TFs (“TF-TF modules”) in Th17 gene regulation. Given the popularity of ATAC-seq (a widely adapted protocol with high resolution and low sample input requirements), we anticipate that application of our methods will improve TRN inference in new mammalian systems and be of particular use for rare, uncharacterized cell types. Overall design: Gene expression (RNA-seq) of naive and Th17- and Th0-polarized CD4 T Cells
Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells.
Specimen part, Cell line, Subject
View Samples