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RNA World Hypothesis and RNA folding By Lixin Dai October 16, 2002 - PowerPoint PPT Presentation

RNA World Hypothesis and RNA folding By Lixin Dai October 16, 2002 Outline: RNA World Hypothesis RNA structure primary secondary tertiary Folding of RNA structure Problems with the folding Solutions October 16, 2002 RNA World


  1. RNA World Hypothesis and RNA folding By Lixin Dai October 16, 2002

  2. Outline: RNA World Hypothesis RNA structure primary secondary tertiary Folding of RNA structure Problems with the folding Solutions October 16, 2002

  3. RNA World Hypothesis: Central dogma: transcription ? translation DNA RNA Protein Protein needs RNA reversetranscription as a template; RNA needs protein to be synthesized Protein or RNA? – The chicken & egg paradox How did life begin? What was the most primitive self-replicating system? October 16, 2002

  4. A possible solution: catalytic RNA If RNA can be catalytic, then perhaps the simplest life form was an RNA molecule that could self-replicate. Gerald F. Joyce Nature 2002 Vol418: 214~221 RNA world DNA world RNP world According to the RNA World Hypothesis: RNA should be capable of many reactions Ribozymes are molecular fossils of the RNA world RNA components of cellular enzymes which are not catalytic are possibly descendants of the RNA world and still have remnants of catalytic activity. e.g. the catalytic core of large subunit of ribosome RNA is protein free! October 16, 2002

  5. RNA structure: The presence of uracil in place of thymine, and the 2'-OH in the ribose constitutes the two chemical differences between RNA and DNA. RNA DNA Base pairing in DNA: A-T; G-C RNA: A-U; G-C Unusual pairing in RNA: G-U wobble pair A-G or A-C can also pair at special condition Most DNA double helices are Type B and RNA helices are Type A. October 16, 2002

  6. RNA structure: Primary structure ( e.g. tRNA phe ): 10 20 30 40 50 GCGGAUUUAG CUCAGUUGGG AGAGCGCCAG ACUGAAUAUC UGGAGGUCCU 60 70 80 GUGUUCGAUC CACAGAAUUC GCACC Secondary structure: a.a. stem D arm T arm a.c. arm Tertiary structure October 16, 2002

  7. RNA structure: Primary structure ( e.g. tRNA phe ): 10 20 30 40 50 GCGGAUUUAG CUCAGUUGGG AGAGCGCCAG ACUGAAUAUC UGGAGGUCCU 60 70 80 GUGUUCGAUC CACAGAAUUC GCACC Secondary structure: a.a. stem D arm T arm a.c. arm Tertiary structure October 16, 2002

  8. RNA structure: Primary structure ( e.g. tRNA phe ): 10 20 30 40 50 GCGGAUUUAG CUCAGUUGGG AGAGCGCCAG ACUGAAUAUC UGGAGGUCCU 60 70 80 GUGUUCGAUC CACAGAAUUC GCACC Secondary structure: a.a. stem D arm T arm a.c. arm Tertiary structure October 16, 2002

  9. RNA structure: Primary structure ( e.g. tRNA phe ): 10 20 30 40 50 GCGGAUUUAG CUCAGUUGGG AGAGCGCCAG ACUGAAUAUC UGGAGGUCCU 60 70 80 GUGUUCGAUC CACAGAAUUC GCACC Secondary structure: a.a. stem D arm T arm a.c. arm Tertiary structure October 16, 2002

  10. Folding of RNA secondary structure: Free energy minimization: Favorable contributions: hydrogen bonds of base pairs favorable “stacking” interaction of bases some base-pairs created in irregular structures Unfavorable contributions: symmetric bulges in helices asymmetric bulges in helices increasing loop size at the end of helix multiple branches from single loop Simple energies: D G G-C = -3 A-U = -2 G-U = -1 MFOLD program from Dr.Michael Zuker October 16, 2002

  11. Folding of RNA tertiary structure: 2-D structure can fold to tight 3-D structure by tertiary interactions: WC base-pairs (include G-U pair) base stacking Loop-Loop interactions Loop & receptors interactions Metal ion binding X-ray crystallography & NMR Computer-based Prediction by energy minimization MC-SYM program from Dr. François Major October 16, 2002

  12. Problems in folding RNA Secondary structure: Multiple solutions for the same primary structure. The structure with lowest free energy is not always the correct structure. Hard to predict in vivo condition. D G= -22.9 D G= -22.9 D G= -21.9 October 16, 2002

  13. Problems in folding RNA Tertiary structure: Many RNA molecules are very difficult to crystallize. Too many possibilities for a single secondary structure. Unpredictable tertiary interactions. October 16, 2002

  14. Solutions: Bioinformatic analysis A A G A Multi-sequences alignment U G Seq1 AGGCUGAAAGGCAG C G A G C A G G Seq2 CUGCUGAAAGGCCC C U C C Phylogenetic comparison (conserved motifs) Co-variation analysis A A U A G A G A Seq1 AGGCUGAAAGGCAG U G U A Seq2 CUACUGUAAAGUCC C G C G A G G C A G C U A U C C Experimental data Computer programming Interactive Computer Graphics (ICG) Distance Geometry October 16, 2002

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