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• W581699499 endingPage "e1005195" @default.
• W581699499 startingPage "e1005195" @default.
• W581699499 abstract "Even with identification of multiple causal genetic variants for common human diseases, understanding the molecular processes mediating the causal variants' effect on the disease remains a challenge. This understanding is crucial for the development of therapeutic strategies to prevent and treat disease. While static profiling of gene expression is primarily used to get insights into the biological bases of diseases, it makes differentiating the causative from the correlative effects difficult, as the dynamics of the underlying biological processes are not monitored. Using yeast as a model, we studied genome-wide gene expression dynamics in the presence of a causal variant as the sole genetic determinant, and performed allele-specific functional validation to delineate the causal effects of the genetic variant on the phenotype. Here, we characterized the precise genetic effects of a functional MKT1 allelic variant in sporulation efficiency variation. A mathematical model describing meiotic landmark events and conditional activation of MKT1 expression during sporulation specified an early meiotic role of this variant. By analyzing the early meiotic genome-wide transcriptional response, we demonstrate an MKT1-dependent role of novel modulators, namely, RTG1/3, regulators of mitochondrial retrograde signaling, and DAL82, regulator of nitrogen starvation, in additively effecting sporulation efficiency. In the presence of functional MKT1 allele, better respiration during early sporulation was observed, which was dependent on the mitochondrial retrograde regulator, RTG3. Furthermore, our approach showed that MKT1 contributes to sporulation independent of Puf3, an RNA-binding protein that steady-state transcription profiling studies have suggested to mediate MKT1-pleiotropic effects during mitotic growth. These results uncover interesting regulatory links between meiosis and mitochondrial retrograde signaling. In this study, we highlight the advantage of analyzing allele-specific transcriptional dynamics of mediating genes. Applications in higher eukaryotes can be valuable for inferring causal molecular pathways underlying complex dynamic processes, such as development, physiology and disease progression." @default.
• W581699499 created "2016-06-24" @default.
• W581699499 creator A5000244333 @default.
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• W581699499 creator A5042863093 @default.
• W581699499 creator A5043896723 @default.
• W581699499 creator A5058727688 @default.
• W581699499 date "2015-06-03" @default.
• W581699499 modified "2023-10-17" @default.
• W581699499 title "Temporal Expression Profiling Identifies Pathways Mediating Effect of Causal Variant on Phenotype" @default.
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• W581699499 doi "https://doi.org/10.1371/journal.pgen.1005195" @default.
• W581699499 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4454590" @default.
• W581699499 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26039065" @default.
• W581699499 hasPublicationYear "2015" @default.
• W581699499 type Work @default.
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• W581699499 citedByCount "16" @default.

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