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Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae

Many successful functional studies by gene expression profiling in the literature have led to the perception that profile similarity is likely to imply functional association. But how true is the converse of the above statement? Do functionally associated genes tend to be co-regulated at the transcr...

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Autores principales: Liu, Ching-Ti, Yuan, Shinsheng, Li, Ker-Chau
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2632914/
https://www.ncbi.nlm.nih.gov/pubmed/19056822
http://dx.doi.org/10.1093/nar/gkn972
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author Liu, Ching-Ti
Yuan, Shinsheng
Li, Ker-Chau
author_facet Liu, Ching-Ti
Yuan, Shinsheng
Li, Ker-Chau
author_sort Liu, Ching-Ti
collection PubMed
description Many successful functional studies by gene expression profiling in the literature have led to the perception that profile similarity is likely to imply functional association. But how true is the converse of the above statement? Do functionally associated genes tend to be co-regulated at the transcription level? In this paper, we focus on a set of well-validated yeast protein complexes provided by Munich Information Center for Protein Sequences (MIPS). Using four well-known large-scale microarray expression data sets, we computed the correlations between genes from the same complex. We then analyzed the relationship between the distribution of correlations and the complex size (the number of genes in a protein complex). We found that except for a few large protein complexes, such as mitochondrial ribosomal and cytoplasmic ribosomal proteins, the correlations are on the average not much higher than that from a pair of randomly selected genes. The global impact of large complexes on the expression of other genes in the genome is also studied. Our result also showed that the expression of over 85% of the genes are affected by six large complexes: the cytoplasmic ribosomal complex, mitochondrial ribosomal complex, proteasome complex, F0/F1 ATP synthase (complex V) (size 18), rRNA splicing (size 24) and H+- transporting ATPase, vacular (size 15).
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spelling pubmed-26329142009-03-04 Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae Liu, Ching-Ti Yuan, Shinsheng Li, Ker-Chau Nucleic Acids Res Computational Biology Many successful functional studies by gene expression profiling in the literature have led to the perception that profile similarity is likely to imply functional association. But how true is the converse of the above statement? Do functionally associated genes tend to be co-regulated at the transcription level? In this paper, we focus on a set of well-validated yeast protein complexes provided by Munich Information Center for Protein Sequences (MIPS). Using four well-known large-scale microarray expression data sets, we computed the correlations between genes from the same complex. We then analyzed the relationship between the distribution of correlations and the complex size (the number of genes in a protein complex). We found that except for a few large protein complexes, such as mitochondrial ribosomal and cytoplasmic ribosomal proteins, the correlations are on the average not much higher than that from a pair of randomly selected genes. The global impact of large complexes on the expression of other genes in the genome is also studied. Our result also showed that the expression of over 85% of the genes are affected by six large complexes: the cytoplasmic ribosomal complex, mitochondrial ribosomal complex, proteasome complex, F0/F1 ATP synthase (complex V) (size 18), rRNA splicing (size 24) and H+- transporting ATPase, vacular (size 15). Oxford University Press 2009-02 2008-12-04 /pmc/articles/PMC2632914/ /pubmed/19056822 http://dx.doi.org/10.1093/nar/gkn972 Text en © 2008 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Biology
Liu, Ching-Ti
Yuan, Shinsheng
Li, Ker-Chau
Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae
title Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae
title_full Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae
title_fullStr Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae
title_full_unstemmed Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae
title_short Patterns of co-expression for protein complexes by size in Saccharomyces cerevisiae
title_sort patterns of co-expression for protein complexes by size in saccharomyces cerevisiae
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2632914/
https://www.ncbi.nlm.nih.gov/pubmed/19056822
http://dx.doi.org/10.1093/nar/gkn972
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