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Relevant bibliographies by topics / Nervous system Caenorhabditis elegans

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Academic literature on the topic 'Nervous system Caenorhabditis elegans'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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Journal articles on the topic "Nervous system Caenorhabditis elegans"

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Mclntire, Steven L., Erik Jorgensen, Joshua Kaplan, and H. Robert Horvitz. "The GABAergic nervous system of Caenorhabditis elegans." Nature 364, no. 6435 (1993): 337–41. http://dx.doi.org/10.1038/364337a0.

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Meng, Lingfeng, Liang Chen, Zhaoyong Li, Zheng-Xing Wu, and Ge Shan. "Roles of MicroRNAs in the Caenorhabditis elegans Nervous System." Journal of Genetics and Genomics 40, no. 9 (2013): 445–52. http://dx.doi.org/10.1016/j.jgg.2013.07.002.

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Singhvi, Aakanksha, and Shai Shaham. "Glia-Neuron Interactions in Caenorhabditis elegans." Annual Review of Neuroscience 42, no. 1 (2019): 149–68. http://dx.doi.org/10.1146/annurev-neuro-070918-050314.

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Glia are abundant components of animal nervous systems. Recognized 170 years ago, concerted attempts to understand these cells began only recently. From these investigations glia, once considered passive filler material in the brain, have emerged as active players in neuron development and activity. Glia are essential for nervous system function, and their disruption leads to disease. The nematode Caenorhabditis elegans possesses glial types similar to vertebrate glia, based on molecular, morphological, and functional criteria, and has become a powerful model in which to study glia and their neuronal interactions. Facile genetic and transgenic methods in this animal allow the discovery of genes required for glial functions, and effects of glia at single synapses can be monitored by tracking neuron shape, physiology, or animal behavior. Here, we review recent progress in understanding glia-neuron interactions in C. elegans. We highlight similarities with glia in other animals, and suggest conserved emerging principles of glial function.

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Heiman, Maxwell G., and Shai Shaham. "Ancestral roles of glia suggested by the nervous system of Caenorhabditis elegans." Neuron Glia Biology 3, no. 1 (2007): 55–61. http://dx.doi.org/10.1017/s1740925x07000609.

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AbstractThe nematode Caenorhabditis elegans has a simple nervous system with glia restricted primarily to sensory organs. Some of the activities that would be provided by glia in the mammalian nervous system are either absent or provided by non-glial cell types in C. elegans, with only a select set of mammalian glial activities being similarly provided by specialized glial cells in this animal. These observations suggest that ancestral roles of glia may be to modulate neuronal morphology and neuronal sensitivity in sensory organs.

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Pan, Raj Kumar, Nivedita Chatterjee, and Sitabhra Sinha. "Mesoscopic Organization Reveals the Constraints Governing Caenorhabditis elegans Nervous System." PLoS ONE 5, no. 2 (2010): e9240. http://dx.doi.org/10.1371/journal.pone.0009240.

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Ndegwa, Sarah, and Bernard D. Lemire. "Caenorhabditis elegans development requires mitochondrial function in the nervous system." Biochemical and Biophysical Research Communications 319, no. 4 (2004): 1307–13. http://dx.doi.org/10.1016/j.bbrc.2004.05.108.

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Shaham, Shai. "Glia–neuron interactions in the nervous system of Caenorhabditis elegans." Current Opinion in Neurobiology 16, no. 5 (2006): 522–28. http://dx.doi.org/10.1016/j.conb.2006.08.001.

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Metaxakis, Athanasios, Dionysia Petratou, and Nektarios Tavernarakis. "Multimodal sensory processing in Caenorhabditis elegans." Open Biology 8, no. 6 (2018): 180049. http://dx.doi.org/10.1098/rsob.180049.

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Multisensory integration is a mechanism that allows organisms to simultaneously sense and understand external stimuli from different modalities. These distinct signals are transduced into neuronal signals that converge into decision-making neuronal entities. Such decision-making centres receive information through neuromodulators regarding the organism's physiological state and accordingly trigger behavioural responses. Despite the importance of multisensory integration for efficient functioning of the nervous system, and also the implication of dysfunctional multisensory integration in the aetiology of neuropsychiatric disease, little is known about the relative molecular mechanisms. Caenorhabditis elegans is an appropriate model system to study such mechanisms and elucidate the molecular ways through which organisms understand external environments in an accurate and coherent fashion.

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Avery, L. "The genetics of feeding in Caenorhabditis elegans." Genetics 133, no. 4 (1993): 897–917. http://dx.doi.org/10.1093/genetics/133.4.897.

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Abstract The pharynx of Caenorhabditis elegans is a nearly self-contained neuromuscular organ responsible for feeding. To identify genes involved in the development or function of the excitable cells of the pharynx, I screened for worms with visible defects in pharyngeal feeding behavior. Fifty-two mutations identified 35 genes, at least 22 previously unknown. The genes broke down into three broad classes: 2 pha genes, mutations in which caused defects in the shape of the pharynx, 7 phm genes, mutations in which caused defects in the contractile structures of the pharyngeal muscle, and 26 eat genes, mutants in which had abnormal pharyngeal muscle motions, but had normally shaped and normally birefringent pharynxes capable of vigorous contraction. Although the Eat phenotypes were diverse, most resembled those caused by defects in the pharyngeal nervous system. For some of the eat genes there is direct evidence from previous genetic mosaic and pharmacological studies that they do in fact affect nervous system. In eat-5 mutants the motions of the different parts of the pharynx were poorly synchronized. eat-6 and eat-12 mutants failed to relax their pharyngeal muscles properly. These pharyngeal motion defects are most easily explained as resulting from abnormal electrical excitability of the pharyngeal muscle membrane.

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Alkema, Mark J., Melissa Hunter-Ensor, Niels Ringstad, and H. Robert Horvitz. "Tyramine Functions Independently of Octopamine in the Caenorhabditis elegans Nervous System." Neuron 46, no. 2 (2005): 247–60. http://dx.doi.org/10.1016/j.neuron.2005.02.024.

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Dissertations / Theses on the topic "Nervous system Caenorhabditis elegans"

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Livingstone, David. "Studies on the unc-31 gene of Caenorhabditis elegans." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.240106.

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Lee, Yuk Wa. "Characterization of Mab21l2 in neural development of vertebrate model /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?BIOL%202005%20LEEY.

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Bentley, Barry. "Connectomics of extrasynaptic signalling : applications to the nervous system of Caenorhabditis elegans." Thesis, University of Cambridge, 2017. https://www.repository.cam.ac.uk/handle/1810/270033.

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Connectomics – the study of neural connectivity – is primarily concerned with the mapping and characterisation of wired synaptic links; however, it is well established that long-distance chemical signalling via extrasynaptic volume transmission is also critical to brain function. As these interactions are not visible in the physical structure of the nervous system, current approaches to connectomics are unable to capture them. This work addresses the problem of missing extrasynaptic interactions by demonstrating for the first time that whole-animal volume transmission networks can be mapped from gene expression and ligand-receptor interaction data, and analysed as part of the connectome. Complete networks are presented for the monoamine systems of Caenorhabditis elegans, along with a representative sample of selected neuropeptide systems. A network analysis of the synaptic (wired) and extrasynaptic (wireless) connectomes is presented which reveals complex topological properties, including extrasynaptic rich-club organisation with interconnected hubs distinct from those in the synaptic and gap junction networks, and highly significant multilink motifs pinpointing locations in the network where aminergic and neuropeptide signalling is likely to modulate synaptic activity. Thus, the neuronal connectome can be modelled as a multiplex network with synaptic, gap junction, and neuromodulatory layers representing inter-neuronal interactions with different dynamics and polarity. This represents a prototype for understanding how extrasynaptic signalling can be integrated into connectomics research, and provides a novel dataset for the development of multilayer network algorithms.

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Durbin, R. M. "Studies on the development and organisation of the nervous system of Caenorhabditis elegans." Thesis, University of Cambridge, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233920.

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The nematode <i>Caenorhabditis elegans</i> is a small invertebrate whose nervous system, general anatomy, and normal development are all (comparatively) extremely simple and reproducible, and have all been well characterised. This dissertation describes work based on two different approaches to the study of the control of neural development in <i>C. elgans</i>. In the first part the course of neural outgrowth in the region of the ventral nerve cord was followed from electron microscope reconstructions of a series of fixed embryos. Following this, neurons whose processes grew out early were removed by laser ablation of their parent cells and the effect on subsequent nerve outgrowth was assayed by electron microscope reconstruction. The first process to grow along the ventral cord is that of AVG, and its presence is required for the normal, highly asymmetrical structure of the cord. Two more examples of dependency on particular nerve processes for correct guidance can be deduced from experiments in which cells at the back of the animal were removed. The observations of normal development and the ablation experiments can in some cases be related to defects seen in <i>uncoordinated</i> mutants with defective nerve process organisation. The second approach was to establish and analyse a computer data base containing all the synaptic connectivity data obtained by White et al. (1986), who reconstructed at an electron microscope level the entire central nervous system regions of two <i>C. elegans</i> specimens. Since the circuitry is highly reproducible, comparisons of connections between equivalent pairs of cells can be used to infer properties of synapse formation. Overall, the <i>C. elegans</i> circuitry is anatomically highly directional, and what little chemical synaptic feedback that is seen is mostly part of reciprocal synaptic connections. There is also evidence for physical organisation of the nerve processes in subbundles of the main process tract in the central nervous system.

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Stovall, Elizabeth L. "Analysis of mig-10, a gene involved in nervous system development in caenorhabditis elegans." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0430104-142249/.

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Burket, Christopher T. "Two genes, dig-1 and mig-10, involved in nervous system development in C. elegans." Link to electronic thesis, 2002. http://www.wpi.edu/Pubs/ETD/Available/etd-1115102-141010.

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Ficociello, Laura Faraco. "Neuronal migration -- investigating interactions of the cytoplasmic adaptor pProtein MIG-10 in C. elegans." Worcester, Mass. : Worcester Polytechnic Institute, 2008. http://www.wpi.edu/Pubs/ETD/Available/etd-010908-103637/.

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Birnby, Deborah Ann. "Analysis of daf-11, a transmembrane guanylyl cyclase that mediates chemosensory transduction in C. elegans /." Thesis, Connect to this title online; UW restricted, 1998. http://hdl.handle.net/1773/10300.

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Ooi, Felicia Kye-Lyn. "Uncovering how the nervous system controls the cellular stress response in the metazoan Caenorhabditis elegans." Diss., University of Iowa, 2018. https://ir.uiowa.edu/etd/6236.

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The ability to accurately predict danger and implement appropriate protective responses is critical for survival. Environmental fluctuations can cause damage at the cellular level, leading to the misfolding and aggregation of proteins. Such damage is toxic to cells: in age-related neurodegenerative diseases like ALS, Parkinson’s, Alzheimer’s and Huntington’s Diseases, the accumulation of damaged proteins in the brain ultimately leads to neuronal cell death and disease onset. To date, there is still no cure to combat the progressive degeneration and cell death seen in the brains of patients. Cells within an animal possess defense programs to minimize protein damage. One such defense mechanism is the activation of a program called the Heat Shock Response, which increases production of protective proteins known as heat shock proteins (HSPs). These HSPs act as molecular chaperones to assist with the clearing out of damaged proteins. This program is implemented by a conserved transcription factor, Heat Shock Factor 1 (HSF-1). However, in brains of patients with degenerative diseases, this protective mechanism, for reasons yet unknown, is not constantly activated. My thesis has involved the discovery of innate mechanisms that exist in organisms to activate this cellular protective mechanism against protein misfolding. My research, using the model organism Caenorhabditis elegans, has shown that the protective heat shock response in the cells of the animal can be triggered through neurohormonal signaling. The neurohormonal signaling that I am studying is one that is highly conserved across all organisms from plants to insects to mammals – serotonergic signaling. The stimulation of serotonergic signaling appears sufficient to activate the Heat Shock Response, even in the absence of real damage. In fact, the neuronal release of serotonin facilitates a pre-emptive upregulation of protective genes in the animal, which we have observed to be able to reduce the accumulation of damaged proteins in a C. elegans model of Huntington’s Disease. Additionally, I have seen that anticipating danger can enhance the animal’s stress response in a serotonin-dependent manner, thus facilitating better survival against a subsequent insult that can cause protein damage. Together, these studies present the novel possibility of protection against neurodegenerative disease via modulation of neurotransmission and/or neurosecretion. They also allow for understanding how sensory inputs are coupled to gene expression under stressful conditions. I hope to understand the mechanism by which animals adapt to changes in their environment by coordinating their sensory input with changes in behavior and gene expression.

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Hoskins, Roger Allen. "Molecular and genetic studies on the unc-30 and unc-31 genes of Caenorhabditis elegans." Thesis, University of Cambridge, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.334107.

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Books on the topic "Nervous system Caenorhabditis elegans"

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Achacoso, Theodore B. AY's neuroanatomy of C. elegans for computation. CRC Press, 1992.

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Moorman, Celine. Analysis of diverse signal transduction pathways using the genetic model system Caenorhabditis elegans. s.n.], 2003.

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The neurobiology of C. elegans. Academic Press, 2006.

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Byrne, John H., ed. The Oxford Handbook of Invertebrate Neurobiology. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190456757.001.0001.

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Invertebrates have proven to be extremely useful models for gaining insights into the neural and molecular mechanisms of sensory processing, motor control, and higher functions, such as feeding behavior, learning and memory, navigation, and social behavior. Their enormous contribution to neuroscience is due, in part, to the relative simplicity of invertebrate nervous systems and, in part, to the large cells found in some invertebrates, like mollusks. Because of the organizms’ cell size, individual neurons can be surgically removed and assayed for expression of membrane channels, levels of second messengers, protein phosphorylation, and RNA and protein synthesis. Moreover, peptides and nucleotides can be injected into individual neurons. Other invertebrate systems such as Drosophila and Caenorhabditis elegans are ideal models for genetic approaches to the exploration of neuronal function and the neuronal bases of behavior. The Oxford Handbook of Invertebrate Neurobiology reviews neurobiological phenomena, including motor pattern generation, mechanisms of synaptic transmission, and learning and memory, as well as circadian rhythms, development, regeneration, and reproduction. Species-specific behaviors are covered in chapters on the control of swimming in annelids, crustacea, and mollusks; locomotion in hexapods; and camouflage in cephalopods. A unique feature of the handbook is the coverage of social behavior and intentionality in invertebrates. These developments are contextualized in a chapter summarizing past contributions of invertebrate research as well as areas for future studies that will continue to advance the field.

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Kumar, Namit Norman. Caenorhabditis elegans: A new simple system for a cellular and molecular analysis of associative learning and memory. 1994.

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Book chapters on the topic "Nervous system Caenorhabditis elegans"

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Vidal, Berta, and Oliver Hobert. "Methods to Study Nervous System Laterality in the Caenorhabditis elegans Model System." In Lateralized Brain Functions. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6725-4_18.

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Durbin, Richard. "Nematode C. elegans, Nervous System." In Comparative Neuroscience and Neurobiology. Birkhäuser Boston, 1988. http://dx.doi.org/10.1007/978-1-4899-6776-3_33.

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Royal, Dewey, and Monica Driscoll. "Neuronal Cell Death in C. elegans." In Cell Death and Diseases of the Nervous System. Humana Press, 1999. http://dx.doi.org/10.1007/978-1-4612-1602-5_7.

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Wong, Ming-Ching, Maria Martynovsky, and Jean E. Schwarzbauer. "Analysis of Cell Migration Using Caenorhabditis elegans as a Model System." In Methods in Molecular Biology. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-207-6_16.

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Machado, Pedro, John Wade, and T. M. McGinnity. "Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS." In Biosystems & Biorobotics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26242-0_3.

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Hong, Seung-Bum, Won Nah, and Joong-Hwan Baek. "Automatic Classification and Clustering of Caenorhabditis Elegans Using a Computer Vision System." In Intelligent Data Engineering and Automated Learning. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45080-1_100.

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Duerr, Janet S. "Immunostainings in Nervous System Development of the Nematode C. elegans." In Methods in Molecular Biology. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9732-9_16.

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Kaminuma, Tsuguchika, Takako Igarashi, Tatsuya Nakano, and Johji Miwa. "A Computer System that Links Gene Expression to Spatial Organization of Caenorhabditis Elegans." In Information Processing in Cells and Tissues. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5345-8_25.

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Zheng, Fuli, Michael Aschner, and Huangyuan Li. "Evaluations of Environmental Pollutant-Induced Mitochondrial Toxicity Using Caenorhabditis elegans as a Model System." In Environmental Toxicology and Toxicogenomics. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1514-0_3.

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Kikis, Elise A., Anat Ben-Zvi, and Richard I. Morimoto. "Caenorhabditis Elegans as a Model System to Study the Biology of Protein Aggregation and Toxicity." In Protein Misfolding Diseases. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470572702.ch9.

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Conference papers on the topic "Nervous system Caenorhabditis elegans"

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Machado, Pedro, John Wade, and T. M. McGinnity. "Si elegans: FPGA hardware emulation of C. elegans nematode nervous system." In 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). IEEE, 2014. http://dx.doi.org/10.1109/nabic.2014.6921855.

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Mohamed, Mostafa, Brinda Prasad, and Wael Badawy. "High throughput quantification system for egg populations in caenorhabditis elegans." In 2008 IEEE International Symposium on Circuits and Systems - ISCAS 2008. IEEE, 2008. http://dx.doi.org/10.1109/iscas.2008.4541607.

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Machado, Pedro, John Wade, and T. M. Mcginnity. "Si elegans - Computational Modelling of C. elegans Nematode Nervous System using FPGAs." In Special Session on Neuro-Bio-Inspired Computation and Architectures. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0005169301690176.

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Xianke Dong, Pengfei Song, and Xinyu Liu. "An automated robotic system for high-speed microinjection of Caenorhabditis elegans." In 2015 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2015. http://dx.doi.org/10.1109/icra.2015.7139298.

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Wang, Yijie, Jun Chen, Yuan Zhang, and Kee-Hong Kim. "Measurements of Morphology and Locomotion of Caenorhabditis Elegans With Digital Holographic Microscopy." In ASME 2020 Fluids Engineering Division Summer Meeting collocated with the ASME 2020 Heat Transfer Summer Conference and the ASME 2020 18th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/fedsm2020-20177.

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Abstract Digital holographic microscopy (DHM) enables 3D volumetric measurements of small objects with high magnification. DHM has been applied to measure a variety of experimental studies, including turbulent boundary layer, spray droplets, individual cells, development of zebrafish embryo, etc. In this study, a DHM system is applied to measure the morphology and locomotion of two groups of Caenorhabditis Elegans (C. Elegans) with different development conditions (ATGL-1 group and n2 group) in an 8-day time period from their hatching to the adult stage, whose body lengths range from hundreds of micrometers to one millimeter. The length and volume are determined to describe the morphology of the C. Elegans at different development stages. The locomotion of the C. Elegans is divided into linear motion and curl motion. The kinetic energy derived from the two types of motion describes the extent of how active the C. Elegans is. The statistics of morphology and locomotion of the two groups of C. Elegans are compared at different development stages to illustrate the influence of the applied development conditions.

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Adams, Kevin, Roger Mailler, and Michael W. Keller. "Adhesion of C. Elegans to Agar Surfaces." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-89670.

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The surface adhesion between C. elegans and the agar plates on which they are commonly grown has yet to be accurately quantified. C. elegans are a scientifically important species of nematode whose simple structure allowed the first mapping of the complete nervous system in a multicellular organism. One of the current topics of research in the C. elegans community is the investigation of neuronal function in locomotion. Models of locomotion are used in these studies to aid in determination of the functions of specific neurons involved in locomotion. The adhesion force plays a critical role in developing these models. This paper presents the experimental determination of the adhesion energy of a representative sample of C. elegans. Adhesion energy was determined by a direct pull-off technique. In this approach, nematodes are anesthetized to prevent movement and secured to a small load cell before an agar plate is slowly brought into contact with the specimen and then removed. The maximum tensile force is then fit to a JKR-type adhesion model, which assumes that the nematode is a cylinder in order to determine the adhesion energy. Repeated adhesions are also investigated to determine the importance of drying on the measured adhesion force.

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