Identification of Membrane Proteins in Pyrococcus furiosus
Author Information
Author(s): James Holden, Tomas Radivoyevitch, Gianni Cesareni, Michael Taussig, Pierre Legrain, Brian Kay, Jens Schneider-Mergener, Christian Blaschke, Barbara Brannetti, Joan Marsh, Cara Woodwark
Hypothesis
Can qualitative metabolite time course predictions be inferred from measured mRNA expression patterns?
Conclusion
The study successfully predicted alterations in sphingoid base and ceramide levels that matched experimental data.
Supporting Evidence
- The study identified 32 membrane proteins in Pyrococcus furiosus.
- 23 out of 32 proteins achieved a consensus result for 'membrane protein' using prediction programs.
- Alterations in sphingoid base and ceramide levels were predicted based on mRNA expression patterns.
Takeaway
The researchers looked at how yeast cells change their metabolism when stressed and found that they could predict these changes by looking at their gene activity.
Methodology
A proteomic approach was used to identify membrane proteins and a kinetic model was applied to predict metabolite levels.
Digital Object Identifier (DOI)
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