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Long-Range Propagation of Genetic Effects in Molecular Networks

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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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  1. 0:00Intro
  2. 3:29Molecular traits are correlated
  3. 4:49Correct for level changes ... same with protein-RNA
  4. 5:55Random Forest QTL Mapping
  5. 6:53Transcript versus protein changes
  6. 8:35Cellular traits best explained by phosphorylation
  7. 9:33Molecular networks get perturbed
  8. 12:16Long-range effects in molecular networks
  9. 14:12Genetic and molecular determinants of heat-induced lag duration
  10. 18:07PKA- and TOR-related network state in yeast
  11. 20:12PT network state reflects molecular reconfiguration
  12. 22:01Cellular fitness traits associated with the PT network state
  13. 24:16Cellular functions associated with the PT network state
  14. 26:25Classification of network effects
  15. 27:26Regional versus long-range effects
  16. 29:16Conclusion
  17. 30:51Acknowledgements
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