Degree of Freedom of Gene Expression in Saccharomyces cerevisiae

ABSTRACT The complexity of genome-wide gene expression has not yet been adequately addressed due to a lack of comprehensive statistical analyses. In the present study, we introduce degree of freedom (DOF) as a summary statistic for evaluating gene expression complexity. Because DOF can be interprete...

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Main Authors: Zhen Yang, Feng Xu, Aijuan Xue, Hong Lv, Yungang He
Format: Article
Language:English
Published: American Society for Microbiology 2022-04-01
Series:Microbiology Spectrum
Subjects:
Online Access:https://journals.asm.org/doi/10.1128/spectrum.00838-21
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author Zhen Yang
Feng Xu
Aijuan Xue
Hong Lv
Yungang He
author_facet Zhen Yang
Feng Xu
Aijuan Xue
Hong Lv
Yungang He
author_sort Zhen Yang
collection DOAJ
description ABSTRACT The complexity of genome-wide gene expression has not yet been adequately addressed due to a lack of comprehensive statistical analyses. In the present study, we introduce degree of freedom (DOF) as a summary statistic for evaluating gene expression complexity. Because DOF can be interpreted by a state-space representation, application of the DOF is highly useful for understanding gene activities. We used over 11,000 gene expression data sets to reveal that the DOF of gene expression in Saccharomyces cerevisiae is not greater than 450. We further demonstrated that various degrees of freedom of gene expression can be interpreted by different sequence motifs within promoter regions and Gene Ontology (GO) terms. The well-known TATA box is the most significant one among the identified motifs, while the GO term “ribosome genesis” is an associated biological process. On the basis of transcriptional freedom, our findings suggest that the regulation of gene expression can be modeled using only a few state variables. IMPORTANCE Yeast works like a well-organized factory. Each of its components works in its own way, while affecting the activities of others. The order of all activities is largely governed by the regulation of gene expression. In recent decades, biologists have recognized many regulations for yeast genes. However, it is not known how closely the regulation links each gene together to make all components of the cell work as a whole. In other words, biologists are very interested in how many independent control factors are needed to operate an artificial “cell” that works the same as a real one. In this work, we suggested that only 450 control factors were sufficient to represent the regulation of all 5800 yeast genes.
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spelling doaj.art-34c80d30f8114333a618c156589257232022-12-22T02:26:38ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972022-04-0110210.1128/spectrum.00838-21Degree of Freedom of Gene Expression in Saccharomyces cerevisiaeZhen Yang0Feng Xu1Aijuan Xue2Hong Lv3Yungang He4Shanghai Fifth People’s Hospital, Fudan University, Shanghai, ChinaShanghai Fifth People’s Hospital, Fudan University, Shanghai, ChinaShanghai Fifth People’s Hospital, Fudan University, Shanghai, ChinaState Key Laboratory of Genetic Engineering, School of Life Science, Fudan University, Shanghai, ChinaShanghai Fifth People’s Hospital, Fudan University, Shanghai, ChinaABSTRACT The complexity of genome-wide gene expression has not yet been adequately addressed due to a lack of comprehensive statistical analyses. In the present study, we introduce degree of freedom (DOF) as a summary statistic for evaluating gene expression complexity. Because DOF can be interpreted by a state-space representation, application of the DOF is highly useful for understanding gene activities. We used over 11,000 gene expression data sets to reveal that the DOF of gene expression in Saccharomyces cerevisiae is not greater than 450. We further demonstrated that various degrees of freedom of gene expression can be interpreted by different sequence motifs within promoter regions and Gene Ontology (GO) terms. The well-known TATA box is the most significant one among the identified motifs, while the GO term “ribosome genesis” is an associated biological process. On the basis of transcriptional freedom, our findings suggest that the regulation of gene expression can be modeled using only a few state variables. IMPORTANCE Yeast works like a well-organized factory. Each of its components works in its own way, while affecting the activities of others. The order of all activities is largely governed by the regulation of gene expression. In recent decades, biologists have recognized many regulations for yeast genes. However, it is not known how closely the regulation links each gene together to make all components of the cell work as a whole. In other words, biologists are very interested in how many independent control factors are needed to operate an artificial “cell” that works the same as a real one. In this work, we suggested that only 450 control factors were sufficient to represent the regulation of all 5800 yeast genes.https://journals.asm.org/doi/10.1128/spectrum.00838-21Saccharomyces cerevisiaecoordinate systemdegree of freedomgene activitygene expression
spellingShingle Zhen Yang
Feng Xu
Aijuan Xue
Hong Lv
Yungang He
Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
Microbiology Spectrum
Saccharomyces cerevisiae
coordinate system
degree of freedom
gene activity
gene expression
title Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
title_full Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
title_fullStr Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
title_full_unstemmed Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
title_short Degree of Freedom of Gene Expression in Saccharomyces cerevisiae
title_sort degree of freedom of gene expression in saccharomyces cerevisiae
topic Saccharomyces cerevisiae
coordinate system
degree of freedom
gene activity
gene expression
url https://journals.asm.org/doi/10.1128/spectrum.00838-21
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AT fengxu degreeoffreedomofgeneexpressioninsaccharomycescerevisiae
AT aijuanxue degreeoffreedomofgeneexpressioninsaccharomycescerevisiae
AT honglv degreeoffreedomofgeneexpressioninsaccharomycescerevisiae
AT yunganghe degreeoffreedomofgeneexpressioninsaccharomycescerevisiae