Quantifying Gene Essentiality Based on the Context of Cellular Components

Different genes have their protein products localized in various subcellular compartments. The diversity in protein localization may serve as a gene characteristic, revealing gene essentiality from a subcellular perspective. To measure this diversity, we introduced a Subcellular Diversity Index (SDI...

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Main Authors: Kaiwen Jia, Yuan Zhou, Qinghua Cui
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Genetics
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fgene.2019.01342/full
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spelling doaj-6c20d0d2989c40e698dabb4b98c3e8532020-11-25T00:56:39ZengFrontiers Media S.A.Frontiers in Genetics1664-80212020-01-011010.3389/fgene.2019.01342491083Quantifying Gene Essentiality Based on the Context of Cellular ComponentsKaiwen JiaYuan ZhouQinghua CuiDifferent genes have their protein products localized in various subcellular compartments. The diversity in protein localization may serve as a gene characteristic, revealing gene essentiality from a subcellular perspective. To measure this diversity, we introduced a Subcellular Diversity Index (SDI) based on the Gene Ontology-Cellular Component Ontology (GO-CCO) and a semantic similarity measure of GO terms. Analyses revealed that SDI of human genes was well correlated with some known measures of gene essentiality, including protein–protein interaction (PPI) network topology measurements, dN/dS ratio, homologous gene number, expression level and tissue specificity. In addition, SDI had a good performance in predicting human essential genes (AUC = 0.702) and drug target genes (AUC = 0.704), and drug targets with higher SDI scores tended to cause more side-effects. The results suggest that SDI could be used to identify novel drug targets and to guide the filtering of drug targets with fewer potential side effects. Finally, we developed a user-friendly online database for querying SDI score for genes across eight species, and the predicted probabilities of human drug target based on SDI. The online database of SDI is available at: http://www.cuilab.cn/sdi.https://www.frontiersin.org/article/10.3389/fgene.2019.01342/fullcellular componentslocalization diversitygene characteristicgene essentialitydrug target
collection DOAJ
language English
format Article
sources DOAJ
author Kaiwen Jia
Yuan Zhou
Qinghua Cui
spellingShingle Kaiwen Jia
Yuan Zhou
Qinghua Cui
Quantifying Gene Essentiality Based on the Context of Cellular Components
Frontiers in Genetics
cellular components
localization diversity
gene characteristic
gene essentiality
drug target
author_facet Kaiwen Jia
Yuan Zhou
Qinghua Cui
author_sort Kaiwen Jia
title Quantifying Gene Essentiality Based on the Context of Cellular Components
title_short Quantifying Gene Essentiality Based on the Context of Cellular Components
title_full Quantifying Gene Essentiality Based on the Context of Cellular Components
title_fullStr Quantifying Gene Essentiality Based on the Context of Cellular Components
title_full_unstemmed Quantifying Gene Essentiality Based on the Context of Cellular Components
title_sort quantifying gene essentiality based on the context of cellular components
publisher Frontiers Media S.A.
series Frontiers in Genetics
issn 1664-8021
publishDate 2020-01-01
description Different genes have their protein products localized in various subcellular compartments. The diversity in protein localization may serve as a gene characteristic, revealing gene essentiality from a subcellular perspective. To measure this diversity, we introduced a Subcellular Diversity Index (SDI) based on the Gene Ontology-Cellular Component Ontology (GO-CCO) and a semantic similarity measure of GO terms. Analyses revealed that SDI of human genes was well correlated with some known measures of gene essentiality, including protein–protein interaction (PPI) network topology measurements, dN/dS ratio, homologous gene number, expression level and tissue specificity. In addition, SDI had a good performance in predicting human essential genes (AUC = 0.702) and drug target genes (AUC = 0.704), and drug targets with higher SDI scores tended to cause more side-effects. The results suggest that SDI could be used to identify novel drug targets and to guide the filtering of drug targets with fewer potential side effects. Finally, we developed a user-friendly online database for querying SDI score for genes across eight species, and the predicted probabilities of human drug target based on SDI. The online database of SDI is available at: http://www.cuilab.cn/sdi.
topic cellular components
localization diversity
gene characteristic
gene essentiality
drug target
url https://www.frontiersin.org/article/10.3389/fgene.2019.01342/full
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