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A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions
BACKGROUND: Genetic interactions, or non-additive effects between genes, play a crucial role in many cellular processes and disease. Which mechanisms underlie these genetic interactions has hardly been characterized. Understanding the molecular basis of genetic interactions is crucial in deciphering...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690272/ https://www.ncbi.nlm.nih.gov/pubmed/26700642 http://dx.doi.org/10.1186/s12915-015-0222-5 |
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author | Sameith, Katrin Amini, Saman Groot Koerkamp, Marian J. A. van Leenen, Dik Brok, Mariel Brabers, Nathalie Lijnzaad, Philip van Hooff, Sander R. Benschop, Joris J. Lenstra, Tineke L. Apweiler, Eva van Wageningen, Sake Snel, Berend Holstege, Frank C. P. Kemmeren, Patrick |
author_facet | Sameith, Katrin Amini, Saman Groot Koerkamp, Marian J. A. van Leenen, Dik Brok, Mariel Brabers, Nathalie Lijnzaad, Philip van Hooff, Sander R. Benschop, Joris J. Lenstra, Tineke L. Apweiler, Eva van Wageningen, Sake Snel, Berend Holstege, Frank C. P. Kemmeren, Patrick |
author_sort | Sameith, Katrin |
collection | PubMed |
description | BACKGROUND: Genetic interactions, or non-additive effects between genes, play a crucial role in many cellular processes and disease. Which mechanisms underlie these genetic interactions has hardly been characterized. Understanding the molecular basis of genetic interactions is crucial in deciphering pathway organization and understanding the relationship between genotype, phenotype and disease. RESULTS: To investigate the nature of genetic interactions between gene-specific transcription factors (GSTFs) in Saccharomyces cerevisiae, we systematically analyzed 72 GSTF pairs by gene expression profiling double and single deletion mutants. These pairs were selected through previously published growth-based genetic interactions as well as through similarity in DNA binding properties. The result is a high-resolution atlas of gene expression-based genetic interactions that provides systems-level insight into GSTF epistasis. The atlas confirms known genetic interactions and exposes new ones. Importantly, the data can be used to investigate mechanisms that underlie individual genetic interactions. Two molecular mechanisms are proposed, “buffering by induced dependency” and “alleviation by derepression”. CONCLUSIONS: These mechanisms indicate how negative genetic interactions can occur between seemingly unrelated parallel pathways and how positive genetic interactions can indirectly expose parallel rather than same-pathway relationships. The focus on GSTFs is important for understanding the transcription regulatory network of yeast as it uncovers details behind many redundancy relationships, some of which are completely new. In addition, the study provides general insight into the complex nature of epistasis and proposes mechanistic models for genetic interactions, the majority of which do not fall into easily recognizable within- or between-pathway relationships. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-015-0222-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4690272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-46902722015-12-25 A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions Sameith, Katrin Amini, Saman Groot Koerkamp, Marian J. A. van Leenen, Dik Brok, Mariel Brabers, Nathalie Lijnzaad, Philip van Hooff, Sander R. Benschop, Joris J. Lenstra, Tineke L. Apweiler, Eva van Wageningen, Sake Snel, Berend Holstege, Frank C. P. Kemmeren, Patrick BMC Biol Research Article BACKGROUND: Genetic interactions, or non-additive effects between genes, play a crucial role in many cellular processes and disease. Which mechanisms underlie these genetic interactions has hardly been characterized. Understanding the molecular basis of genetic interactions is crucial in deciphering pathway organization and understanding the relationship between genotype, phenotype and disease. RESULTS: To investigate the nature of genetic interactions between gene-specific transcription factors (GSTFs) in Saccharomyces cerevisiae, we systematically analyzed 72 GSTF pairs by gene expression profiling double and single deletion mutants. These pairs were selected through previously published growth-based genetic interactions as well as through similarity in DNA binding properties. The result is a high-resolution atlas of gene expression-based genetic interactions that provides systems-level insight into GSTF epistasis. The atlas confirms known genetic interactions and exposes new ones. Importantly, the data can be used to investigate mechanisms that underlie individual genetic interactions. Two molecular mechanisms are proposed, “buffering by induced dependency” and “alleviation by derepression”. CONCLUSIONS: These mechanisms indicate how negative genetic interactions can occur between seemingly unrelated parallel pathways and how positive genetic interactions can indirectly expose parallel rather than same-pathway relationships. The focus on GSTFs is important for understanding the transcription regulatory network of yeast as it uncovers details behind many redundancy relationships, some of which are completely new. In addition, the study provides general insight into the complex nature of epistasis and proposes mechanistic models for genetic interactions, the majority of which do not fall into easily recognizable within- or between-pathway relationships. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12915-015-0222-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-12-23 /pmc/articles/PMC4690272/ /pubmed/26700642 http://dx.doi.org/10.1186/s12915-015-0222-5 Text en © Sameith et al. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Sameith, Katrin Amini, Saman Groot Koerkamp, Marian J. A. van Leenen, Dik Brok, Mariel Brabers, Nathalie Lijnzaad, Philip van Hooff, Sander R. Benschop, Joris J. Lenstra, Tineke L. Apweiler, Eva van Wageningen, Sake Snel, Berend Holstege, Frank C. P. Kemmeren, Patrick A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
title | A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
title_full | A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
title_fullStr | A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
title_full_unstemmed | A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
title_short | A high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
title_sort | high-resolution gene expression atlas of epistasis between gene-specific transcription factors exposes potential mechanisms for genetic interactions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690272/ https://www.ncbi.nlm.nih.gov/pubmed/26700642 http://dx.doi.org/10.1186/s12915-015-0222-5 |
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