Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.
Metabolite concentrations can regulate gene expression, which can in turn regulate metabolic activity. The extent to which functionally related transcripts and metabolites show similar patterns of concentration changes, however, remains unestablished. We measure and analyze the metabolomic and trans...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2009-01-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC2614473?pdf=render |
| _version_ | 1811260908013355008 |
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| author | Patrick H Bradley Matthew J Brauer Joshua D Rabinowitz Olga G Troyanskaya |
| author_facet | Patrick H Bradley Matthew J Brauer Joshua D Rabinowitz Olga G Troyanskaya |
| author_sort | Patrick H Bradley |
| collection | DOAJ |
| description | Metabolite concentrations can regulate gene expression, which can in turn regulate metabolic activity. The extent to which functionally related transcripts and metabolites show similar patterns of concentration changes, however, remains unestablished. We measure and analyze the metabolomic and transcriptional responses of Saccharomyces cerevisiae to carbon and nitrogen starvation. Our analysis demonstrates that transcripts and metabolites show coordinated response dynamics. Furthermore, metabolites and gene products whose concentration profiles are alike tend to participate in related biological processes. To identify specific, functionally related genes and metabolites, we develop an approach based on Bayesian integration of the joint metabolomic and transcriptomic data. This algorithm finds interactions by evaluating transcript-metabolite correlations in light of the experimental context in which they occur and the class of metabolite involved. It effectively predicts known enzymatic and regulatory relationships, including a gene-metabolite interaction central to the glycolytic-gluconeogenetic switch. This work provides quantitative evidence that functionally related metabolites and transcripts show coherent patterns of behavior on the genome scale and lays the groundwork for building gene-metabolite interaction networks directly from systems-level data. |
| first_indexed | 2024-04-12T18:54:41Z |
| format | Article |
| id | doaj.art-5d1b378d1513482e8187463fcc60a486 |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-04-12T18:54:41Z |
| publishDate | 2009-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-5d1b378d1513482e8187463fcc60a4862022-12-22T03:20:22ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582009-01-0151e100027010.1371/journal.pcbi.1000270Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae.Patrick H BradleyMatthew J BrauerJoshua D RabinowitzOlga G TroyanskayaMetabolite concentrations can regulate gene expression, which can in turn regulate metabolic activity. The extent to which functionally related transcripts and metabolites show similar patterns of concentration changes, however, remains unestablished. We measure and analyze the metabolomic and transcriptional responses of Saccharomyces cerevisiae to carbon and nitrogen starvation. Our analysis demonstrates that transcripts and metabolites show coordinated response dynamics. Furthermore, metabolites and gene products whose concentration profiles are alike tend to participate in related biological processes. To identify specific, functionally related genes and metabolites, we develop an approach based on Bayesian integration of the joint metabolomic and transcriptomic data. This algorithm finds interactions by evaluating transcript-metabolite correlations in light of the experimental context in which they occur and the class of metabolite involved. It effectively predicts known enzymatic and regulatory relationships, including a gene-metabolite interaction central to the glycolytic-gluconeogenetic switch. This work provides quantitative evidence that functionally related metabolites and transcripts show coherent patterns of behavior on the genome scale and lays the groundwork for building gene-metabolite interaction networks directly from systems-level data.http://europepmc.org/articles/PMC2614473?pdf=render |
| spellingShingle | Patrick H Bradley Matthew J Brauer Joshua D Rabinowitz Olga G Troyanskaya Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. PLoS Computational Biology |
| title | Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. |
| title_full | Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. |
| title_fullStr | Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. |
| title_full_unstemmed | Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. |
| title_short | Coordinated concentration changes of transcripts and metabolites in Saccharomyces cerevisiae. |
| title_sort | coordinated concentration changes of transcripts and metabolites in saccharomyces cerevisiae |
| url | http://europepmc.org/articles/PMC2614473?pdf=render |
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