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Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast

Variation in gene copy number can significantly affect organism fitness. When one allele is missing in a diploid, the phenotype can be compromised because of haploinsufficiency. In this work, we identified associations between Saccharomyces cerevisiae gene properties and genome-scale haploinsufficie...

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Detalles Bibliográficos
Autores principales: Norris, Matthew, Lovell, Simon, Delneri, Daniela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Genetics Society of America 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815059/
https://www.ncbi.nlm.nih.gov/pubmed/24048642
http://dx.doi.org/10.1534/g3.113.008144
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author Norris, Matthew
Lovell, Simon
Delneri, Daniela
author_facet Norris, Matthew
Lovell, Simon
Delneri, Daniela
author_sort Norris, Matthew
collection PubMed
description Variation in gene copy number can significantly affect organism fitness. When one allele is missing in a diploid, the phenotype can be compromised because of haploinsufficiency. In this work, we identified associations between Saccharomyces cerevisiae gene properties and genome-scale haploinsufficiency phenotypes from previous work. We compared the haploinsufficiency profiles against 23 gene properties and found that genes with higher level of connectivity (degree) in a protein–protein interaction network, higher genetic interaction degree, greater gene sequence conservation, and higher protein expression were significantly more likely to be haploinsufficient. Additionally, haploinsufficiency showed negative relationships with cell cycle regulation and promoter sequence conservation.
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spelling pubmed-38150592013-11-04 Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast Norris, Matthew Lovell, Simon Delneri, Daniela G3 (Bethesda) Investigations Variation in gene copy number can significantly affect organism fitness. When one allele is missing in a diploid, the phenotype can be compromised because of haploinsufficiency. In this work, we identified associations between Saccharomyces cerevisiae gene properties and genome-scale haploinsufficiency phenotypes from previous work. We compared the haploinsufficiency profiles against 23 gene properties and found that genes with higher level of connectivity (degree) in a protein–protein interaction network, higher genetic interaction degree, greater gene sequence conservation, and higher protein expression were significantly more likely to be haploinsufficient. Additionally, haploinsufficiency showed negative relationships with cell cycle regulation and promoter sequence conservation. Genetics Society of America 2013-11-01 /pmc/articles/PMC3815059/ /pubmed/24048642 http://dx.doi.org/10.1534/g3.113.008144 Text en Copyright © 2013 Norris et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Unported License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigations
Norris, Matthew
Lovell, Simon
Delneri, Daniela
Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast
title Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast
title_full Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast
title_fullStr Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast
title_full_unstemmed Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast
title_short Characterization and Prediction of Haploinsufficiency Using Systems-Level Gene Properties in Yeast
title_sort characterization and prediction of haploinsufficiency using systems-level gene properties in yeast
topic Investigations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3815059/
https://www.ncbi.nlm.nih.gov/pubmed/24048642
http://dx.doi.org/10.1534/g3.113.008144
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