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A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species
We have mapped a protein interaction network of human homologs of proteins that modify longevity in invertebrate species. This network is derived from a proteome-scale human protein interaction Core Network generated through unbiased high-throughput yeast two-hybrid searches. The longevity network i...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Public Library of Science
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2657003/ https://www.ncbi.nlm.nih.gov/pubmed/19293945 http://dx.doi.org/10.1371/journal.pgen.1000414 |
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author | Bell, Russell Hubbard, Alan Chettier, Rakesh Chen, Di Miller, John P. Kapahi, Pankaj Tarnopolsky, Mark Sahasrabuhde, Sudhir Melov, Simon Hughes, Robert E. |
author_facet | Bell, Russell Hubbard, Alan Chettier, Rakesh Chen, Di Miller, John P. Kapahi, Pankaj Tarnopolsky, Mark Sahasrabuhde, Sudhir Melov, Simon Hughes, Robert E. |
author_sort | Bell, Russell |
collection | PubMed |
description | We have mapped a protein interaction network of human homologs of proteins that modify longevity in invertebrate species. This network is derived from a proteome-scale human protein interaction Core Network generated through unbiased high-throughput yeast two-hybrid searches. The longevity network is composed of 175 human homologs of proteins known to confer increased longevity through loss of function in yeast, nematode, or fly, and 2,163 additional human proteins that interact with these homologs. Overall, the network consists of 3,271 binary interactions among 2,338 unique proteins. A comparison of the average node degree of the human longevity homologs with random sets of proteins in the Core Network indicates that human homologs of longevity proteins are highly connected hubs with a mean node degree of 18.8 partners. Shortest path length analysis shows that proteins in this network are significantly more connected than would be expected by chance. To examine the relationship of this network to human aging phenotypes, we compared the genes encoding longevity network proteins to genes known to be changed transcriptionally during aging in human muscle. In the case of both the longevity protein homologs and their interactors, we observed enrichments for differentially expressed genes in the network. To determine whether homologs of human longevity interacting proteins can modulate life span in invertebrates, homologs of 18 human FRAP1 interacting proteins showing significant changes in human aging muscle were tested for effects on nematode life span using RNAi. Of 18 genes tested, 33% extended life span when knocked-down in Caenorhabditis elegans. These observations indicate that a broad class of longevity genes identified in invertebrate models of aging have relevance to human aging. They also indicate that the longevity protein interaction network presented here is enriched for novel conserved longevity proteins. |
format | Text |
id | pubmed-2657003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-26570032009-03-18 A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species Bell, Russell Hubbard, Alan Chettier, Rakesh Chen, Di Miller, John P. Kapahi, Pankaj Tarnopolsky, Mark Sahasrabuhde, Sudhir Melov, Simon Hughes, Robert E. PLoS Genet Research Article We have mapped a protein interaction network of human homologs of proteins that modify longevity in invertebrate species. This network is derived from a proteome-scale human protein interaction Core Network generated through unbiased high-throughput yeast two-hybrid searches. The longevity network is composed of 175 human homologs of proteins known to confer increased longevity through loss of function in yeast, nematode, or fly, and 2,163 additional human proteins that interact with these homologs. Overall, the network consists of 3,271 binary interactions among 2,338 unique proteins. A comparison of the average node degree of the human longevity homologs with random sets of proteins in the Core Network indicates that human homologs of longevity proteins are highly connected hubs with a mean node degree of 18.8 partners. Shortest path length analysis shows that proteins in this network are significantly more connected than would be expected by chance. To examine the relationship of this network to human aging phenotypes, we compared the genes encoding longevity network proteins to genes known to be changed transcriptionally during aging in human muscle. In the case of both the longevity protein homologs and their interactors, we observed enrichments for differentially expressed genes in the network. To determine whether homologs of human longevity interacting proteins can modulate life span in invertebrates, homologs of 18 human FRAP1 interacting proteins showing significant changes in human aging muscle were tested for effects on nematode life span using RNAi. Of 18 genes tested, 33% extended life span when knocked-down in Caenorhabditis elegans. These observations indicate that a broad class of longevity genes identified in invertebrate models of aging have relevance to human aging. They also indicate that the longevity protein interaction network presented here is enriched for novel conserved longevity proteins. Public Library of Science 2009-03-13 /pmc/articles/PMC2657003/ /pubmed/19293945 http://dx.doi.org/10.1371/journal.pgen.1000414 Text en Bell et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bell, Russell Hubbard, Alan Chettier, Rakesh Chen, Di Miller, John P. Kapahi, Pankaj Tarnopolsky, Mark Sahasrabuhde, Sudhir Melov, Simon Hughes, Robert E. A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species |
title | A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species |
title_full | A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species |
title_fullStr | A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species |
title_full_unstemmed | A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species |
title_short | A Human Protein Interaction Network Shows Conservation of Aging Processes between Human and Invertebrate Species |
title_sort | human protein interaction network shows conservation of aging processes between human and invertebrate species |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2657003/ https://www.ncbi.nlm.nih.gov/pubmed/19293945 http://dx.doi.org/10.1371/journal.pgen.1000414 |
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