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The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.
Amini, Saman; Jacobsen, Annika; Ivanova, Olga; Lijnzaad, Philip; Heringa, Jaap; Holstege, Frank C P; Feenstra, K Anton; Kemmeren, Patrick.
Afiliação
  • Amini S; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • Jacobsen A; Center for Molecular Medicine, University Medical Centre Utrecht, Utrecht, The Netherlands.
  • Ivanova O; Centre for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Lijnzaad P; Centre for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Heringa J; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • Holstege FCP; Centre for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
  • Feenstra KA; Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
  • Kemmeren P; Centre for Integrative Bioinformatics (IBIVU), Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
PLoS Comput Biol ; 15(5): e1007061, 2019 05.
Article em En | MEDLINE | ID: mdl-31083661
ABSTRACT
Genetic interactions, a phenomenon whereby combinations of mutations lead to unexpected effects, reflect how cellular processes are wired and play an important role in complex genetic diseases. Understanding the molecular basis of genetic interactions is crucial for deciphering pathway organization as well as understanding the relationship between genetic variation and disease. Several hypothetical molecular mechanisms have been linked to different genetic interaction types. However, differences in genetic interaction patterns and their underlying mechanisms have not yet been compared systematically between different functional gene classes. Here, differences in the occurrence and types of genetic interactions are compared for two classes, gene-specific transcription factors (GSTFs) and signaling genes (kinases and phosphatases). Genome-wide gene expression data for 63 single and double deletion mutants in baker's yeast reveals that the two most common genetic interaction patterns are buffering and inversion. Buffering is typically associated with redundancy and is well understood. In inversion, genes show opposite behavior in the double mutant compared to the corresponding single mutants. The underlying mechanism is poorly understood. Although both classes show buffering and inversion patterns, the prevalence of inversion is much stronger in GSTFs. To decipher potential mechanisms, a Petri Net modeling approach was employed, where genes are represented as nodes and relationships between genes as edges. This allowed over 9 million possible three and four node models to be exhaustively enumerated. The models show that a quantitative difference in interaction strength is a strict requirement for obtaining inversion. In addition, this difference is frequently accompanied with a second gene that shows buffering. Taken together, these results provide a mechanistic explanation for inversion. Furthermore, the ability of transcription factors to differentially regulate expression of their targets provides a likely explanation why inversion is more prevalent for GSTFs compared to kinases and phosphatases.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Regulação da Expressão Gênica / Modelos Genéticos Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Regulação da Expressão Gênica / Modelos Genéticos Idioma: En Ano de publicação: 2019 Tipo de documento: Article