Molecular topography of an entire nervous system
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA561108 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10005177_1.fastq.gz | Fastqsanger.gz | |||
| SRR10005177_2.fastq.gz | Fastqsanger.gz | |||
| SRR10005178_1.fastq.gz | Fastqsanger.gz | |||
| SRR10005178_2.fastq.gz | Fastqsanger.gz | |||
| SRR10005179_1.fastq.gz | Fastqsanger.gz |
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Project description:Nervous systems are constructed from a deep repertoire of neuron types but the underlying gene expression programs that specify individual neuron identities are poorly understood. To address this deficit, we have produced an expression profile of all 302 neurons of the C. elegans nervous system that matches the single cell resolution of its anatomy and wiring diagram. Our results suggest that individual neuron classes can be solely identified by combinatorial expression of specific gene families. For example, each neuron class expresses unique codes of ~23 neuropeptide-encoding genes and ~36 neuropeptide receptors thus pointing to an expansive "wireless" signaling network. To demonstrate the utility of this uniquely comprehensive gene expression catalog, we used computational approaches to (1) identify cis-regulatory elements for neuron-specific gene expression across the nervous system and (2) reveal adhesion proteins with potential roles in synaptic specificity and process placement. These data are available at cengen.org and can be interrogated at the web application CengenApp. We expect that this neuron-specific directory of gene expression will spur investigations of underlying mechanisms that define anatomy, connectivity and function throughout the C. elegans nervous system.
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Project description:We have produced gene expression profiles of all 302 neurons of the C. elegans nervous system that match the single-cell resolution of its anatomy and wiring diagram. Our results suggest that individual neuron classes can be solely identified by combinatorial expression of specific gene families. For example, each neuron class expresses distinct codes of ∼23 neuropeptide genes and ∼36 neuropeptide receptors, delineating a complex and expansive "wireless" signaling network. To demonstrate the utility of this comprehensive gene expression catalog, we used computational approaches to (1) identify cis-regulatory elements for neuron-specific gene expression and (2) reveal adhesion proteins with potential roles in process placement and synaptic specificity. Our expression data are available at https://cengen.org and can be interrogated at the web application CengenApp. We expect that this neuron-specific directory of gene expression will spur investigations of underlying mechanisms that define anatomy, connectivity, and function throughout the C. elegans nervous system.
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Project description:Background: With its fully sequenced genome and simple, well-defined nervous system, the nematode C. elegans offers a unique opportunity to correlate gene expression with neuronal differentiation. The lineal origin, cellular morphology and synaptic connectivity of each of the 302 neurons are known. In many instances, specific behaviors can be attributed to particular neurons or circuits. Here we describe microarray-based methods that monitor gene expression in C. elegans neurons and thereby link comprehensive profiles of neuronal transcription to key developmental and functional attributes of the nervous system. Results: We employed complementary microarray-based strategies to profile gene expression in the embryonic and larval nervous systems. In the MAPCeL (Micro-Array Profiling C. elegans Cells) method, we used Fluorescence Activated Cell Sorting (FACS) to isolate GFP-tagged embryonic neurons for microarray analysis. To profile the larval nervous system, we used the mRNA-tagging technique in which an epitope-labeled mRNA binding protein (FLAG-PAB-1) was transgenically expressed in neurons for immunoprecipitation of cell-specific transcripts. These combined approaches identified approximately 2,500 mRNAs that are highly enriched in either the embryonic or larval C. elegans nervous system. These data are validated in part by the detection of gene classes (e.g. transcription factors, ion channels, synaptic vesicle components) with established roles in neuronal development or function. In addition to utilizing these profiling approaches to define stage specific gene expression, we also applied the mRNA-tagging method to fingerprint a specific neuron type, the A-class group of cholinergic motor neurons, during early larval development. A comparison of these data to a MAPCeL profile of embryonic A-class motor neurons identified genes with common functions in both types of A-class motor neurons as well as transcripts with roles specific to each motor neuron type. Conclusion: We describe microarray-based strategies for generating expression profiles of embryonic and larval C. elegans neurons. These methods can be applied to particular neurons at specific developmental stages and therefore provide an unprecedented opportunity to obtain spatially and temporally defined snapshots of gene expression in a simple model nervous system. Experiment Overall Design: Our goal is to profile gene expression throughout the nervous system of the model organism Caenorhabditis elegans. As a first goal, we profiled the entire nervous system at two developmental timepoints. To isolate transcripts from embryonic neurons we employed the MAPCeL (Microarray Profiling C. elegans Cells) technique in which pan-neuronal GFP+ cells are captured by FACS for RNA isolation. Since postembryonic cells are unattainable via this method, we used mRNA-tagging to isolated pan-neural RNAs from larval animals. In short, an epitope tagged poly-A binding protein (FLAG-PAB-1) was driven in all neurons using the F25B3.3 promoter. Following formaldehyde cross-linking, animals were passed through a French press and Dounce homogenized to isolate a cell-free extract. Anti-FLAG antibodies were incubated with the cell-free extract to capture FLAG-PAB bound RNAs. After elution and reversal of the crosslinks, RNAs are isolated by TriZOL extraction. We also identified transcripts enriched in a subset of C. elegans larval neurons, the A-class neurons (using unc-4::3xFLAG::PAB-1). Experiment Overall Design: 3 sets of experiments normalized separately by RMA Experiment Overall Design: larval references of sets 2 and 3 originate from the same hybridizations (accompanying CEL files are identical)
2008-06-15 | E-GEOD-8004 | biostudies-arrayexpress
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of nervous system in locust Locusta migratoria manilensis. By obtaining over 57,000,000 bases of sequence from central nervous system, we generated 101836 contigs and 69440 scaffolds. We finally get 41179 unigene with an average length of 570bp. There are 5519 unigenes beyond the length of 1000bp. Using BLAST searches of the NR, NT, Swiss-Prot, KEGG and COG databases we are able to identify 13552 unigene (E<0.0001). Comprehensive assessment of all the unigenes by comparing with the studied genes of other insects nervous system reveals that our unigene are broadly representative of the transcriptome of insect nervous system. Our data provides the most large-scale EST-project for locust nervous system, which greatly benefits the exploring of this insect. In addition, we identify a large number of novel nervous genes which can be used in systematic studies of locust and other insects. Examination of 1 sample
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