ArticlePLoS computational biology2015
Dynamics of the Heat Stress Response of Ceramides with Different Fatty-Acyl Chain Lengths in Baker's Yeast.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Determinants of CBiomolecules · 2026Article
- Article
- Mechanism of enhanced salt tolerance in Saccharomyces cerevisiae by CRZ1 overexpression.Scientific reports · 2024Article
- The fatty acid 2-hydroxylase CsSCS7 is a key hyphal growth factor and potential control target inmBio · 2024Article
- Hepatic cholesterol biosynthesis and dioxin-induced dysregulation: A multiscale computational approach.Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association · 2023Article
- The dynamics and role of sphingolipids in eukaryotic organisms upon thermal adaptation.Progress in lipid research · 2020Review
- Mild heat induces a distinct "eustress" response in Chinese Hamster Ovary cells but does not induce heat shock protein synthesis.Scientific reports · 2017Article
- Analysis of the Involvement of Different Ceramide Variants in the Response to Hydroxyurea Stress in Baker's Yeast.PloS one · 2016Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The article demonstrates that computational modeling has the capacity to convert metabolic snapshots, taken sequentially over time, into a description of cellular, dynamic strategies. The specific application is a detailed analysis of a set of actions with which Saccharomyces cerevisiae responds to heat stress. Using time dependent metabolic concentration data, we use a combination of mathematical modeling, reverse engineering, and optimization to infer dynamic changes in enzyme activities within the sphingolipid pathway. The details of the sphingolipid responses to heat stress are important, because they guide some of the longer-term alterations in gene expression, with which the cells adapt to the increased temperature. The analysis indicates that all enzyme activities in the system are affected and that the shapes of the time trends in activities depend on the fatty-acyl CoA chain lengths of the different ceramide species in the system.
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Registered trials
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