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Phenomics approaches to understand genetic networks and gene function in yeast

Over the past decade, major efforts have been made to systematically survey the characteristics or phenotypes associated with genetic variation in a variety of model systems. These so-called phenomics projects involve the measurement of ‘phenomes’, or the set of phenotypic information that describes...

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Detalles Bibliográficos
Autores principales: Yeung, Clarence Hue Lok, Sahin, Nil, Andrews, Brenda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Portland Press Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162466/
https://www.ncbi.nlm.nih.gov/pubmed/35285506
http://dx.doi.org/10.1042/BST20210285
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author Yeung, Clarence Hue Lok
Sahin, Nil
Andrews, Brenda
author_facet Yeung, Clarence Hue Lok
Sahin, Nil
Andrews, Brenda
author_sort Yeung, Clarence Hue Lok
collection PubMed
description Over the past decade, major efforts have been made to systematically survey the characteristics or phenotypes associated with genetic variation in a variety of model systems. These so-called phenomics projects involve the measurement of ‘phenomes’, or the set of phenotypic information that describes an organism or cell, in various genetic contexts or states, and in response to external factors, such as environmental signals. Our understanding of the phenome of an organism depends on the availability of reagents that enable systematic evaluation of the spectrum of possible phenotypic variation and the types of measurements that can be taken. Here, we highlight phenomics studies that use the budding yeast, a pioneer model organism for functional genomics research. We focus on genetic perturbation screens designed to explore genetic interactions, using a variety of phenotypic read-outs, from cell growth to subcellular morphology.
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spelling pubmed-91624662022-06-07 Phenomics approaches to understand genetic networks and gene function in yeast Yeung, Clarence Hue Lok Sahin, Nil Andrews, Brenda Biochem Soc Trans Review Articles Over the past decade, major efforts have been made to systematically survey the characteristics or phenotypes associated with genetic variation in a variety of model systems. These so-called phenomics projects involve the measurement of ‘phenomes’, or the set of phenotypic information that describes an organism or cell, in various genetic contexts or states, and in response to external factors, such as environmental signals. Our understanding of the phenome of an organism depends on the availability of reagents that enable systematic evaluation of the spectrum of possible phenotypic variation and the types of measurements that can be taken. Here, we highlight phenomics studies that use the budding yeast, a pioneer model organism for functional genomics research. We focus on genetic perturbation screens designed to explore genetic interactions, using a variety of phenotypic read-outs, from cell growth to subcellular morphology. Portland Press Ltd. 2022-04-29 2022-03-14 /pmc/articles/PMC9162466/ /pubmed/35285506 http://dx.doi.org/10.1042/BST20210285 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Articles
Yeung, Clarence Hue Lok
Sahin, Nil
Andrews, Brenda
Phenomics approaches to understand genetic networks and gene function in yeast
title Phenomics approaches to understand genetic networks and gene function in yeast
title_full Phenomics approaches to understand genetic networks and gene function in yeast
title_fullStr Phenomics approaches to understand genetic networks and gene function in yeast
title_full_unstemmed Phenomics approaches to understand genetic networks and gene function in yeast
title_short Phenomics approaches to understand genetic networks and gene function in yeast
title_sort phenomics approaches to understand genetic networks and gene function in yeast
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9162466/
https://www.ncbi.nlm.nih.gov/pubmed/35285506
http://dx.doi.org/10.1042/BST20210285
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