[article] 
inLabAnimal > 08/19 (août 2019) . - p. 17-27

Titre :	Digging deeper: methodologies for high-content phenotyping in Caenorhabditis elegans
Type de document :	texte imprimé
Auteurs :	Dhaval S. Patel ; Nan Xu ; Hang Lu
Année de publication :	2019
Article en page(s) :	p. 17-27
Langues :	Anglais (eng)
Résumé :	Deep phenotyping is an emerging conceptual paradigm and experimental approach aimed at measuring and linking many aspects of a phenotype to understand its underlying biology. To date, deep phenotyping has been applied mostly in cultured cells and used less in multicellular organisms. However, in the past decade, it has increasingly been recognized that deep phenotyping could lead to a better understanding of how genetics, environment and stochasticity affect the development, physiology and behavior of an organism. The nematode Caenorhabditis elegans is an invaluable model system for studying how genes affect a phenotypic trait, and new technologies have taken advantage of the worm’s physical attributes to increase the throughput and informational content of experiments. Coupling of these technical advancements with computational and analytical tools has enabled a boom in deep-phenotyping studies of C. elegans. In this Review, we highlight how these new technologies and tools are digging into the biological origins of complex, multidimensional phenotypes.
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[article] Digging deeper: methodologies for high-content phenotyping in Caenorhabditis elegans [texte imprimé] / Dhaval S. Patel ; Nan Xu ; Hang Lu . - 2019 . - p. 17-27.
Langues : Anglais (eng)
in LabAnimal > 08/19 (août 2019) . - p. 17-27

Résumé :

Deep phenotyping is an emerging conceptual paradigm and experimental approach aimed at measuring and linking many aspects of a phenotype to understand its underlying biology. To date, deep phenotyping has been applied mostly in cultured cells and used less in multicellular organisms. However, in the past decade, it has increasingly been recognized that deep phenotyping could lead to a better understanding of how genetics, environment and stochasticity affect the development, physiology and behavior of an organism. The nematode Caenorhabditis elegans is an invaluable model system for studying how genes affect a phenotypic trait, and new technologies have taken advantage of the worm’s physical attributes to increase the throughput and informational content of experiments. Coupling of these technical advancements with computational and analytical tools has enabled a boom in deep-phenotyping studies of C. elegans. In this Review, we highlight how these new technologies and tools are digging into the biological origins of complex, multidimensional phenotypes.

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