Caenorhabditis elegans
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA191071 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The nematode Caenorhabditis elegans has evolutionarily conserved EV signaling pathways. In this study, we apply a recently published method for high specificity purification of EVs from C. elegans to carry out target-independent proteomic and RNA analysis of EVs from C. elegans. Our experiments uncovered diverse coding and non-coding RNA transcripts as well as protein cargo types commonly found in human EVs.
2020-08-05 | GSE146973 | GEO
Project description:This dataset consists of 20 proteomics raw files of two Caenorhabditis elegans strains: N2 and CB4856 under two conditions.
2021-12-28 | MSV000088622 | MassIVE
Project description:This project aims to identify novel RNA binding proteins in the nematode, Caenorhabditis elegans. Since interactions between RNAs and proteins may be transient, these animals were crosslinked with UV light at 254 nm which promotes the covalent link between proteins and RNAs. After this, polyadenylated mRNAs were purified via oligo(dT) coupled to magentic beads under stringent conditions. Finally, samples were subjected to mass spectrometry analysis. To rule out the possibility of RNA-independent binding we also analysed other samples: i) samples digested with RNase one; ii) samples where we performed competition assays with polyadenylic acid
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Project description:Formation, regulation and evolution of 3' UTRs in Caenorhabditis elegans
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Project description:Yilmaz2016 - Genome scale metabolic model -
Caenorhabditis elegans (iCEL1273)
This model is described in the article:
A Caenorhabditis elegans
Genome-Scale Metabolic Network Model.
Yilmaz LS, Walhout AJ.
Cell Syst 2016 May; 2(5): 297-311
Abstract:
Caenorhabditis elegans is a powerful model to study
metabolism and how it relates to nutrition, gene expression,
and life history traits. However, while numerous experimental
techniques that enable perturbation of its diet and gene
function are available, a high-quality metabolic network model
has been lacking. Here, we reconstruct an initial version of
the C. elegans metabolic network. This network model
contains 1,273 genes, 623 enzymes, and 1,985 metabolic
reactions and is referred to as iCEL1273. Using flux balance
analysis, we show that iCEL1273 is capable of representing the
conversion of bacterial biomass into C. elegans biomass
during growth and enables the predictions of gene essentiality
and other phenotypes. In addition, we demonstrate that gene
expression data can be integrated with the model by comparing
metabolic rewiring in dauer animals versus growing larvae.
iCEL1273 is available at a dedicated website
(wormflux.umassmed.edu) and will enable the unraveling of the
mechanisms by which different macro- and micronutrients
contribute to the animal's physiology.
This model is hosted on
BioModels Database
and identified by:
MODEL1604210000.
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2016-11-03 | MODEL1604210000 | BioModels
Project description:Background: The force generating mechanism of muscle is evolutionarily ancient; the fundamental structural and functional components of the sarcomere are common to motile animals throughout phylogeny. Recent evidence suggests that the transcription factors that regulate muscle development are also conserved. Thus, a comprehensive description of muscle gene expression in a simple model organism should define a basic muscle transcriptome that is also expressed in animals with more complex body plans. To this end, we have applied Micro-Array Profiling of Caenorhabditis elegans Cells (MAPCeL) to muscle cell populations extracted from developing Caenorhabditis elegans embryos. Results: Fluorescence Activated Cell Sorting (FACS) was used to isolate myo-3::GFP-positive muscle cells, and their cultured derivatives, from dissociated early Caenorhabditis elegans embryos. Microarray analysis identified 6,693 expressed genes, 1,305 of which are enriched in the myo-3::GFP positive cell population relative to the average embryonic cell. The muscle-enriched gene set was validated by comparisons to known muscle markers, independently derived expression data, and GFP reporters in transgenic strains. These results confirm the utility of MAPCeL for cell type-specific expression profiling and reveal that 60% of these transcripts have human homologs. Conclusions: This study provides a comprehensive description of gene expression in developing Caenorhabditis elegans embryonic muscle cells. The finding that over half of these muscle-enriched transcripts encode proteins with human homologs suggests that mutant analysis of these genes in Caenorhabditis elegans could reveal evolutionarily conserved models of muscle gene function with ready application to human muscle pathologies. Keywords: embryonic muscle, myo-3::GFP
2007-07-13 | GSE8462 | GEO