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MW  11:00-12:15 in Beckman B302 Profs: Serafim Batzoglou, Gill Bejerano

MW  11:00-12:15 in Beckman B302 Profs: Serafim Batzoglou, Gill Bejerano TAs: Cory McLean, Aaron Wenger. Lecture 13. Non Coding Transcripts. Meet Your Genome contd. [Human Molecular Genetics, 3rd Edition]. Most Non-Coding Elements are likely cis-regulatory.

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MW  11:00-12:15 in Beckman B302 Profs: Serafim Batzoglou, Gill Bejerano

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  1. MW  11:00-12:15 in Beckman B302 Profs: Serafim Batzoglou, Gill Bejerano TAs: Cory McLean, Aaron Wenger http://cs273a.stanford.edu [Bejerano Aut08/09]

  2. Lecture 13 • Non Coding Transcripts http://cs273a.stanford.edu [Bejerano Aut08/09]

  3. Meet Your Genome contd. [Human Molecular Genetics, 3rd Edition] http://cs273a.stanford.edu [Bejerano Aut08/09]

  4. Most Non-Coding Elements are likely cis-regulatory “IRX1 is a member of the Iroquois homeobox gene family. Members of this family appear to play multiple roles during pattern formation of vertebrate embryos.” gene deserts regulatory jungles 9Mb http://cs273a.stanford.edu [Bejerano Aut08/09]

  5. Structural RNAs http://cs273a.stanford.edu [Bejerano Aut08/09]

  6. Central Dogma of Biology:

  7. RNA is an Active Player:

  8. What is ncRNA? • Non-coding RNA (ncRNA) is an RNA that functions without being translated to a protein. • Known roles for ncRNAs: • RNA catalyzes excision/ligation in introns. • RNA catalyzes the maturation of tRNA. • RNA catalyzes peptide bond formation. • RNA is a required subunit in telomerase. • RNA plays roles in immunity and development (RNAi). • RNA plays a role in dosage compensation. • RNA plays a role in carbon storage. • RNA is a major subunit in the SRP, which is important in protein trafficking. • RNA guides RNA modification.

  9. The modern world The RNA world DNA RNA RNA Proteins information flow Information carryer replication

  10. Predicting RNA Secondary and 3D Structure from Sequence: AAUUGCGGGAAAGGGGUCAA CAGCCGUUCAGUACCAAGUC UCAGGGGAAACUUUGAGAUG GCCUUGCAAAGGGUAUGGUA AUAAGCUGACGGACAUGGUC CUAACCACGCAGCCAAGUCC UAAGUCAACAGAUCUUCUGU UGAUAUGGAUGCAGUUCA Cate, et al. (Cech & Doudna). (1996) Science 273:1678. Waring & Davies. (1984) Gene 28: 277.

  11. http://cs273a.stanford.edu [Bejerano Aut08/09]

  12. http://cs273a.stanford.edu [Bejerano Aut08/09]

  13. MP MP MP ML ML ML G A A A – U G – C G – C RNA sequence analysis - SCFGs G G A A G A U C C < < < . . . > > >

  14. http://cs273a.stanford.edu [Bejerano Aut08/09]

  15. http://cs273a.stanford.edu [Bejerano Aut08/09]

  16. http://cs273a.stanford.edu [Bejerano Aut08/09]

  17. http://cs273a.stanford.edu [Bejerano Aut08/09]

  18. MicroRNA http://cs273a.stanford.edu [Bejerano Aut08/09]

  19. Genomic context 180 known miRNAs in human 130 intergenic 50 intronic 60 polycistronic 70 monocistronic

  20. AAAAAAA ncRNA gene contexts tRNA, snRNAs,SRP, RNase P ….. Xist miRNAs miRNAs, snoRNAs

  21. Example: tRNA Bafna

  22. http://cs273a.stanford.edu [Bejerano Aut08/09]

  23. Human Specific Rapid Evolution maximally changed m c h r m h r 100%id 100%id http://cs273a.stanford.edu [Bejerano Aut08/09]

  24. Human accelerated http://cs273a.stanford.edu [Bejerano Aut08/09]

  25. Nearest Neighbor Model for RNA Secondary Structure Free Energy at 37 OC: Mathews, Disney, Childs, Schroeder, Zuker, & Turner. 2004. PNAS 101: 7287. http://cs273a.stanford.edu [Bejerano Aut08/09]

  26. RNA structure: Basics • Key: RNA is single-stranded. Think of a string over 4 letters, AC,G, and U. • The complementary bases form pairs. • Base-pairing defines a secondary structure. The base-pairing is usually non-crossing. Bafna

  27. http://cs273a.stanford.edu [Bejerano Aut08/09]

  28. Unfortunately… • Random DNA (with high GC content) often folds into low-energy structures. • What other signals determine non-coding genes? Bafna

  29. http://cs273a.stanford.edu [Bejerano Aut08/09]

  30. RNA structure: pseudoknots • Sometimes, unpaired bases in loops form ‘crossing pairs’. These are pseudoknots. Bafna

  31. Other Non Coding Transcripts http://cs273a.stanford.edu [Bejerano Aut08/09]

  32. http://cs273a.stanford.edu [Bejerano Aut08/09]

  33. mRNA http://cs273a.stanford.edu [Bejerano Aut08/09]

  34. EST http://cs273a.stanford.edu [Bejerano Aut08/09]

  35. Microarrays http://cs273a.stanford.edu [Bejerano Aut08/09]

  36. Transcript Ends http://cs273a.stanford.edu [Bejerano Aut08/09]

  37. Transcript mapping Affy arrays CAGE, SAGE, diTAGS, etc. http://cs273a.stanford.edu [Bejerano Aut08/09]

  38. End Picture http://cs273a.stanford.edu [Bejerano Aut08/09]

  39. Transcripts, transcripts everywhere Human Genome Leaky tx? Functional? Transcribed (Tx) Tx from both strands http://cs273a.stanford.edu [Bejerano Aut08/09]

  40. http://cs273a.stanford.edu [Bejerano Aut08/09]

  41. http://cs273a.stanford.edu [Bejerano Aut08/09]

  42. http://cs273a.stanford.edu [Bejerano Aut08/09]

  43. http://cs273a.stanford.edu [Bejerano Aut08/09]

  44. X Dosage compensation X chromosome inactivation in mammals X Y X X

  45. Avner and Heard, Nat. Rev. Genetics 2001 2(1):59-67 Xist – X inactive-specific transcript

  46. Meet Your Genome the end? [Human Molecular Genetics, 3rd Edition] http://cs273a.stanford.edu [Bejerano Aut08/09]

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