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RNA folding, anti-HIV aptamer design, and human telomerase RNA activity Shi-Jie Chen Department of Physics & Astronomy Department of Biochemistry University.

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Presentation on theme: "RNA folding, anti-HIV aptamer design, and human telomerase RNA activity Shi-Jie Chen Department of Physics & Astronomy Department of Biochemistry University."— Presentation transcript:

1 RNA folding, anti-HIV aptamer design, and human telomerase RNA activity Shi-Jie Chen Department of Physics & Astronomy Department of Biochemistry University of Missouri-Columbia

2 RNA (ribonucleic acid) Primary Structure P O c P O c c 7 torsional angles per nt to specify the 3D structure of an RNA

3 Base pairing and stacking U

4 2D (contact map) and 3D structures Theimer and Feigon et al, Mol. Cell., 17, 671-682, 2005 Human telomerase RNA

5 Telomerase controls the elongation of telomere When the telomere become critically short, the cell is unable to replicate. Thus, telomerase is important in cell division and normal development.

6 Secondary structure of human telomerase RNA (hTR) Chen, Blasco & Greider, Cell, 100, 503 (2000)

7 Need an entropy theory. Conf entropy is intrinsically a 3D problem. Vfold model S-J Chen “RNA Folding: Conformational Statistics, Folding Kinetics, and Ion Electrostatics” Annual Review of Biophysics 2008

8 RNA conformations described by torsions of the virtual bonds W. Olson & Flory 1972 S Cao & S-J Chen 2008 C O N1 (primidine: U, C) N9 (purine: A, G) C4 C5 O5 P

9 Backbone virtual bond torsions are rotameric (t, g-) (t, t)(g-, t) (t, t) (g +,t) C3’-endo C2’-endo Wadley and Pyle et al. JMB, 2007 P C4 P N1/9 diamond lattice θ η C4 P P

10 RNA conformational ensemble  Random walk of the virtual bonds in diamond lattice

11 The Vfold model – a general tool

12 The model requires no any fitting parameters. The computations are from first principles. Actual loop is quite rigid, how to account for this effect in the loop conformational enumeration in the Vfold model?

13 : The free energy of the coaxial stacking between two stems (S 1 and S 2 ) Sequence  structure Vfold model gives better predictions than Pknots, which ignores the contribution of loop entropy. Cao & Chen, Nucleic Acids Res, 2006

14 Pseudoknot motifs (a) H-type pseudoknot (b) H-type pseudoknot with structured loops (c) Secondary structure + pseudoknot (d) Several H-type pseudoknots TYMVTMV BWYV SARS

15 2D structure prediction SE=SP=1 for perfect accuracy 28-91 nt, 22 sequences Ren, J., Rastegari, B., Condon, A., Hoos, H.H. (2005) RNA. Cao & Chen (2009) RNA

16 Free energy landscape Shi-Jie Chen. Annual Review of Biophysics 2008

17 RNA folding energy landscape is bumpy Sashital, Cornilescu & Butcher. NSMB 2004; Madhani & Guthrie. Cell 1992 Cao & Chen. JMB 2005

18 Secondary structure of human telomerase RNA (hTR)

19

20 Loop-stem (helix) tertiary interactions

21 : The free energy of the coaxial stacking between two stems (S 1 and S 2 ) Loop-helix interactions are functionally important in RNA pseudoknot  human disease Theimer and Feigon et al, Mol. Cell., 17, 671-682, 2005

22 Loop-stem base triple interaction 9

23

24 Predicting loop-stem base triple interactions Protonated C.(C-G) and C.(G-C): (-14 kcal/mol, -38 cal/mol.K) unprotonated: (-7 kcal/mol, -19 cal/mol.K) (1)Vfold  chain entropy +

25 Disruption of the loop-stem base triple The Vfold model gives good predictions on structures and folding stabilities

26 Nucleotide sequence  2D structure, stability, free energy landscape

27 RMSD = 2.2 A Multiscale all-atom tertiary structure prediction Sugarcane Yellow Leaf Virus (ScYLV)

28 Secondary structure can be slave to tertiary contacts. Correct structure Inhibition of the tertiary contact  structural switch loop-helix contacts Wrong structure

29 Anti-HIV RNA aptamer design Aptamers that bind reverse transcriptase (RT) inhibit its activity in enzymatic assays and block viral replication whe expressed in cells. Many RNA aptamers to RT form pseudoknots Donald Burke

30

31 AGA ACUGAA UUCCG U AGGGC UGACUU A A U Jaeger, Restle, Steitz (1998) EMBO J

32 AGA ACUGAA UUCCG U AGGGC UGACUU A A U Jaeger, Restle, Steitz (1998) EMBO J

33 Anti-HIV aptamer design Can computational approach guide an experimental search for new aptamers? and can experimentation guide refinement of computational theory?

34 80.63 GCCACACUCCACUCUCGACCGUUUCUUGGGUUCUUCGGGAAAAAAAGCAACCUACUAUUG ACUAUCGACGAAGAUCUGUU 134gauucggaugcuccgguagcucaaccug 3’ The location of a fluorescently labeled primer on a denaturing gel Physics theory guides drug design loop-helix contacts ?

35 80.63 GCCACACUCCACUCUCGACCGUUUCUUGGGUUCUUCGGGAAAAAAAGCAACCUACUAUUG ACUAUCGACGAAGAUCUGUU 134gauucggaugcuccgguagcucaaccug 3’ The location of a fluorescently labeled primer on a denaturing gel Physics theory guides drug design full length D. Burke

36 Pseudoknot folding kinetics and human Telomerase RNA activity

37 Telomerase controls the elongation of telomere When the telomeres become critically short, the cell is unable to replicate. Thus, telomerase is important in cell division and normal development.

38 Secondary structure of human telomerase RNA (hTR) Chen, Blasco & Greider, Cell, 100, 503 (2000)

39 Conformational switch and hTR function pseudoknot hairpin 179 Comolli et al. 2002 Theimer et al. 2003

40 Conformational switch and hTR function 179 Chen & Greider 2005 ( 179AG/110CU mutation to destabilize the hairpin) AG UC X pseudoknot hairpin X

41 Rate model

42 Reduced conformational ensemble 40 nt: 10 confs 6000 6 Cao & Chen, Biophys J. 2009 Native-like & misfolded

43 Theory-experiment agreement PK5 Wyatt, Puglisi, and Tinoco 1990 Cao & Chen 2005 JMB

44 hTR: hairpin as a kinetic intermediate Hairpin  pseudoknot switch exists The function may be kinetically controlled. The mutation expt alone cannot negate the role of conf switch. Cao & Chen 2005 JMB

45 We proposed two structures that are correlated to the telomerase activity: A long-lived transient hairpin intermediate & the native pseudoknot. Mutants such as 107AG and ∆U177 which forbid the formation of the native pseudoknot or hairpin intermediate result in the loss of telomerase activity.

46 Acknowledgment Song Cao Gengsheng Chen Liang Liu Zoia Kopeikin (MU) Zhijie Tan (Wuhan U) Wenbing Zhang (Wuhan U) Donald Burke (U Missouri) Juli Feigon (UCLA) David Giedroc (Indiania U) Samuel Butcher (U Wisconssin) NSF MCB 0920067, NSF MCB 0920411 NIH R01 GM 063732 Ion electrostatics Folding kinetics Tertiary structural folding


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