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A systems-level approach to mapping the telomere length maintenance gene circuitry
The ends of eukaryotic chromosomes are protected by telomeres, nucleoprotein structures that are essential for chromosomal stability and integrity. Understanding how telomere length is controlled has significant medical implications, especially in the fields of aging and cancer. Two recent systemati...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2290934/ https://www.ncbi.nlm.nih.gov/pubmed/18319724 http://dx.doi.org/10.1038/msb.2008.13 |
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author | Shachar, Rafi Ungar, Lior Kupiec, Martin Ruppin, Eytan Sharan, Roded |
author_facet | Shachar, Rafi Ungar, Lior Kupiec, Martin Ruppin, Eytan Sharan, Roded |
author_sort | Shachar, Rafi |
collection | PubMed |
description | The ends of eukaryotic chromosomes are protected by telomeres, nucleoprotein structures that are essential for chromosomal stability and integrity. Understanding how telomere length is controlled has significant medical implications, especially in the fields of aging and cancer. Two recent systematic genome-wide surveys measuring the telomere length of deleted mutants in the yeast Saccharomyces cerevisiae have identified hundreds of telomere length maintenance (TLM) genes, which span a large array of functional categories and different localizations within the cell. This study presents a novel general method that integrates large-scale screening mutant data with protein–protein interaction information to rigorously chart the cellular subnetwork underlying the function investigated. Applying this method to the yeast telomere length control data, we identify pathways that connect the TLM proteins to the telomere-processing machinery, and predict new TLM genes and their effect on telomere length. We experimentally validate some of these predictions, demonstrating that our method is remarkably accurate. Our results both uncover the complex cellular network underlying TLM and validate a new method for inferring such networks. |
format | Text |
id | pubmed-2290934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-22909342008-04-10 A systems-level approach to mapping the telomere length maintenance gene circuitry Shachar, Rafi Ungar, Lior Kupiec, Martin Ruppin, Eytan Sharan, Roded Mol Syst Biol Report The ends of eukaryotic chromosomes are protected by telomeres, nucleoprotein structures that are essential for chromosomal stability and integrity. Understanding how telomere length is controlled has significant medical implications, especially in the fields of aging and cancer. Two recent systematic genome-wide surveys measuring the telomere length of deleted mutants in the yeast Saccharomyces cerevisiae have identified hundreds of telomere length maintenance (TLM) genes, which span a large array of functional categories and different localizations within the cell. This study presents a novel general method that integrates large-scale screening mutant data with protein–protein interaction information to rigorously chart the cellular subnetwork underlying the function investigated. Applying this method to the yeast telomere length control data, we identify pathways that connect the TLM proteins to the telomere-processing machinery, and predict new TLM genes and their effect on telomere length. We experimentally validate some of these predictions, demonstrating that our method is remarkably accurate. Our results both uncover the complex cellular network underlying TLM and validate a new method for inferring such networks. Nature Publishing Group 2008-03-04 /pmc/articles/PMC2290934/ /pubmed/18319724 http://dx.doi.org/10.1038/msb.2008.13 Text en Copyright © 2008, EMBO and Nature Publishing Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution Licence, which permits distribution and reproduction in any medium, provided the original author and source are credited. This licence does not permit commercial exploitation or the creation of derivative works without specific permission. |
spellingShingle | Report Shachar, Rafi Ungar, Lior Kupiec, Martin Ruppin, Eytan Sharan, Roded A systems-level approach to mapping the telomere length maintenance gene circuitry |
title | A systems-level approach to mapping the telomere length maintenance gene circuitry |
title_full | A systems-level approach to mapping the telomere length maintenance gene circuitry |
title_fullStr | A systems-level approach to mapping the telomere length maintenance gene circuitry |
title_full_unstemmed | A systems-level approach to mapping the telomere length maintenance gene circuitry |
title_short | A systems-level approach to mapping the telomere length maintenance gene circuitry |
title_sort | systems-level approach to mapping the telomere length maintenance gene circuitry |
topic | Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2290934/ https://www.ncbi.nlm.nih.gov/pubmed/18319724 http://dx.doi.org/10.1038/msb.2008.13 |
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