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Sphingolipids including sphingosine‐1‐phosphate and ceramide participate in numerous cell programs through signaling mechanisms. This class of lipids has important functions in stress responses; however, determining which sphingolipid mediates specific events has remained encumbered by the numerous metabolic interconnections of sphingolipids, such that modulating a specific lipid of interest through manipulating metabolic enzymes causes ‘ripple effects’, which change levels of many other lipids. Here, we develop a method of integrative analysis for genomic, transcriptomic, and lipidomic data to address this previously intractable problem. This method revealed a specific signaling role for phytosphingosine‐1‐phosphate, a lipid with no previously defined specific function in yeast, in regulating genes required for mitochondrial respiration through the HAP complex transcription factor. This approach could be applied to extract meaningful biological information from a similar experimental design that produces multiple sets of high‐throughput data.
Medicine (General), Saccharomyces cerevisiae Proteins, QH301-705.5, Saccharomyces cerevisiae, Article, transcriptomics, R5-920, Sphingosine, Cluster Analysis, Biology (General), Sphingolipids, sphingolipids, Systems Biology, Bayes Theorem, Lipid Metabolism, information integration, Mutation, lipidomics, signal transduction, Metabolic Networks and Pathways, Signal Transduction, Transcription Factors
Medicine (General), Saccharomyces cerevisiae Proteins, QH301-705.5, Saccharomyces cerevisiae, Article, transcriptomics, R5-920, Sphingosine, Cluster Analysis, Biology (General), Sphingolipids, sphingolipids, Systems Biology, Bayes Theorem, Lipid Metabolism, information integration, Mutation, lipidomics, signal transduction, Metabolic Networks and Pathways, Signal Transduction, Transcription Factors
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 48 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |