Long-Range Propagation of Genetic Effects in Molecular Networks
summary
Cross of BY and RM yeast strains, matched RNA, protein (SWATH/DIA) and the first phospho-QTL layer, uses regression to remove abundance effects and random forest mapping to find genetic associations. A one-dimensional PT score (PKA/TOR activity) summarizes signaling and explains a large fraction of transcriptome, proteome and phosphoproteome variation, outperforms single QTLs (three QTLs for heat-induced lag including IRA2) and predicts heat-stress lag and longevity, showing local, regional and long-range propagation of genetic effects.
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chapters (17)
- 0:00Intro
- 3:29Molecular traits are correlated
- 4:49Correct for level changes ... same with protein-RNA
- 5:55Random Forest QTL Mapping
- 6:53Transcript versus protein changes
- 8:35Cellular traits best explained by phosphorylation
- 9:33Molecular networks get perturbed
- 12:16Long-range effects in molecular networks
- 14:12Genetic and molecular determinants of heat-induced lag duration
- 18:07PKA- and TOR-related network state in yeast
- 20:12PT network state reflects molecular reconfiguration
- 22:01Cellular fitness traits associated with the PT network state
- 24:16Cellular functions associated with the PT network state
- 26:25Classification of network effects
- 27:26Regional versus long-range effects
- 29:16Conclusion
- 30:51Acknowledgements
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