1 Class 25 last updated 12/6/11 11:00 AM DNA shuffling Example 2: Antibodies: breaking the natural limit on affinity selection Natural affinity ceiling for an antibody = lowest Kd of 10-10 M (100 pM): Kd = off time / on time Endocytosis rate ~~ 10 min to several hours So no selection for off time (t1/2) longer than ~<3 h (104 sec) Diffusion-limited on rate ~ 106 M-1s-1 Selection limit of affinity of natural antibody evolution: Off rate 1/off time; On rate 1/on time Kd = off rate / on rate = (1/10+4) / (10+6)= 10-10 = Kd --------------------------------------------------------------------------------------------------- J Foote and HN Eisen Kinetic and Affinity Limits on Antibodies Produced During Immune Responses PNAS 1995; 92: 1254-1256 2 Directed evolution of antibody fragments with monovalent femtomolar antigen-binding affinity. Eric T. Boder, Katarina S. Midelfort, and K. Dane Wittrup. Proc Natl Acad Sci U S A. 2000; 97(20): 10701–10705. Used the FACS to selected single chain anti-fluorescein antibodies displayed on the surface of yeast cells. Competed with free fluorescein. DNA shuffled. 4 cycles. Selected for slow off times. Achieved 50 fM affinities. That’s femtomolar, 50 x 10-15 M = 5 x 10-14 M = 0.05 pM (compare 100 pM limit for naturally selected Abs) Slower off-rate than biotin-streptavidin (>5d). 3 Off time (t1/2) Antibodies from yeast scFv selection (Boder et al. and Wittrup, PNAS 2000) 2x10-6 per second = 5 days half-life Iterations 4 Example 3. Selections for antibody characteristics other than Ag binding: scMAb + DNA shuffling + ribosome display + selection in DTT (disulfide reducing agent). Ab folding without need for disulfide bond (-SH oxidation to –S-S- not needed), as well as high ligand affinity. Lutz Jermutus, Annemarie Honegger, Falk Schwesinger, Jozef Hanes, and Andreas Pluckthun, PNAS 98:75-80 (2001) 5 Example 4: Enzyme stabilization: PAI-1, a protease inhibitor (TPA inhibitor) Error prone DNA shuffling 245X increase in stability ( days) Assay = tPA binding Found 11 aa changes, presumably affecting protein folding Back-cross to remove non-contributory mutations: DNA shuffle best clone with original WT DNA. Maintain selective pressure. Analyze “progeny”: see 2 of the 11 aa changes lost, not needed, replaced by WT sequence. J Mol Biol. 2001 Jan 26;305(4):773-83. Different structural requirements for plasminogen activator inhibitor 1 (PAI-1) during latency transition and proteinase inhibition as evidenced by phage-displayed hypermutated PAI-1 libraries. Stoop AA, Eldering E, Dafforn TR, Read RJ, Pannekoek H. 6 Example 5: Viral tropism: murine leukemia virus, a retrovirus MLV, 6 strains, all poor infection of CHO cells. DNA shuffled envelope gene of the 6 strains chimeric virus that can infect CHO cells And selected incidentally for resistance to inactivation under conditions of laboratory manipulation (100X centrifugation-resistant) Nat Genet. 2000 Aug;25(4):436-9. Molecular breeding of viruses. Soong NW, Nomura L, Pekrun K, Reed M, Sheppard L, Dawes G, Stemmer WP. Example 6?: A global version of DNA shuffling -- genome shuffling: A different (unnatural) method of genetic mixing using whole genomes Zhang et al., Nature 415, 644 (2002) Can mix Streptomyces genomes by protoplast fusion effectively diploid bacteria The fused cells will generate recombinant haploid spores. Target: tylosin production (an antibiotic) Mutagenize a culture, collect 22,000 survivors. Screen all 22,000 for tylosin synthesis, pick the top 11. Protoplast fuse all top 11 with each other. Collect 1000 progeny. Screen 100 for tylosin, collect the best 7. Protoplast fuse again. Collect 1000 again. Screen 100 for tylosin again. Characterize the best 2: Tylosin production is up 9-fold. So productivity is up 9-fold, without a lot but not tremendous amount of work (22000 screen max) 7 8 A more supervised version of DNA shuffling “Multivalent avimer proteins evolved by “exon” shuffling of a family of human receptor domains” Nature Biotechnology 23: 1556 (2005) A misnomer; really domain shuffling) Joshua Silverman, et al & Willem Pim C Stemmer Avidia, Inc Avimers = high affinity ligand binding proteins that are not antibodies, based on receptor domains. Strategy: Create therapeutic proteins by combining hundreds of known binding domains from receptor proteins in new mutated random combinations and selecting for binding to a specific target by phage display. 9 Organization of binding domains in typical mammalian receptors A-domains:(~35-40 AA’s/domain): determine binding specificity of many receptors Typical receptor structures An A-domian of 217 A-domains as a spacer between domains (~metaphorically?) 2 domains cooperating Bipartite domain Dual specificity domain Degenerate oligos synthesized to code for 35-40 AAs of the A domains Only AA’s naturally found at each position were coded for. Conserved structural AAs were kept constant (6 cys and 4 Ca binders + 2 others). Complexity = 1023 . Actually realized = 1010 as phage display particles = domain library Select one domain at a time, serially, by panning: LRP = LDL receptor related protein; VLDLR =very low density lipoprotein receptor 10 Isolation of a high affinity binding protein to IL6 ( interleukin 6 ) by iterative selection (IL6 is a target for cancer and inflammation). Phage display (M13). IL6 immobilized on plates. Recovered phage from first cycle, cloned and tested for IL6 binding: 20 top binders pursued. Added the same domain library to each of the 20 first round winning domains. Again pick best 20 overall. After a third cycle pick the very best binder: = “C326” Monomer displayed on phage coat M13 phage One domain IL6 = interleukin 6 Monomer protein Build 20 phage Screened for dimer pools binding from 20 best monomers Two domains Three domains 11 Finally: Add an IgG-binding domain at the end to prevent rapid clearance (measured half-life of 89 hours in monkeys) Model structure Binding measured by a competition assay (“AlphaScreen,” Perkin-Elmer) Laser Luminescence Reactive Oxygen Laser IL6 IL6 receptor 12 Reactive oxygen species can react only over a short distance with an “acceptor” bead Avidin bead:biotinylated IL6 + gp130-Fc:Protein A bead Competition: IL6 (non-biotinylated) or C326 avimer (10X tighter) gp130 = natural IL6 receptor Activity of the anti-IL-6 tetramer C326. (a) AlphaScreen competition analysis comparing ability of C326 relative to IL-6 itself in inhibiting the interaction of IL-6 with its receptors. An avimer that does not bind to IL-6 is included as a negative control. 13 More AlphaScreens: effect of combining the 3 domains [So how was M1 selected??] 20 pM 14 Physical assay: Biacore surface plasmon resonance to measure binding kinetics 253 pM 0.23 nM 15 Biological assay: Stimulation of proliferation of TF-1 cells (erythroleukemia line) 16 h of 3H-TdR incorporation to measure promotion of DNA synthesis Commercial anti-IL6 antibodies 16 Table 1. Diffedrent selected avimer affinities and activities Avimer Target No. of domains Affinity (nM) IC50 (Biochemical) (nM) IC50 (Biological) (nM) C426 cMet 2 <0.1 0.170 Active C65 CD40L 2 <0.1 0.06 0.1 C326 IL-6 3 <0.2 0.05 0.0008 C2810 CD28 3 0.1 n.d. 0.6 C2 BAFF 3 n.d. 0.1 0.4 17 Acute phase inflammatory response induced by IL6 is reversed by avimer C326 (in mice) Specific for IL6-induced inflammation hIL1 – human interleukin 1 RNA Topics: 1.) Pre-mRNA splicing basics 2) Splicing-based therapy 3) RNAi Pre-mRNA splicing Precision 5’ 3’ 5’ 3’ X X Orderliness X X Intron = 80 nts to 100,000 nts Pre-mRNA Branch point Phosphotriester Lariat mRNA Sequence of events in splicing ATP ATP The spliceosome (5 smalll RNAs + 100-300 proteins) Intron becomes a lariat ATP ATP degraded http://www.swbic.org/education/comp-bio/intron.htm 5’ss (= “donor” site) Branch point (BP) (UACUAAC) A (= “acceptor” site) 3’ss Finding exons in a sea of introns TTCTCAGTCCTAAACAGGGTAATGGACTGGGGCTGAATCACATGAAGGCAAGGTCAGATTTTTATTATTATGCACATCTAGCTTGAAAATTTTCTGTTAAGTCAATTACAGTGAAAAACCTTACC TGGTATTGAATGCTTGCATTGTATGTCTGGCTATTCTGTGTTTTTATTTTAAAATTATAATATCAAAATATTTGTGTTATAAAATATTCTAACTATGGAGGCCATAAACAAGAAGACTAAAGTTCTCT CCTTT CAGCCTTCTGTACACATTTCTTCTCAAGCACTGGCCTATGCATGTATACTATATGCAAAAGTACATATATACATTTATATTTTAACGTATGAGTATAGTTTTAAATGTTATTGGACACTTTTAAT ATTAGTGTGTCTAGAGCTATCTAATATATTTTAAAGGTTGCATAGCATTCTGTCTTATGGAGATACCATAACTGATTTAACCAGTCCACTATTGATAGACACTATTTTGTTCTTACCGACTGTACTAG AAGAAA CATTCTTTTACATGTTTGGTACTTGTTCAGCTTTATTCAAGTGGAATTTCTGGGTCAAGGGGAAAGAGTTTATTGAATATTTTGGTATTGCCAAATTTTCCTCTAAGAAGTTGAATCATTTTATACTCCTGATGTTATATGAGAGTACCTTTCTCTTCACAATTTGTCTCTTTTTTTTTTTTTTTTGAGACAAGGTCTCTGTTGCCCAGGCTGGGGTGCAGTGCAGCAGAATGATCACAGTTCACTGCAGTCT CAAC CTCCTGGGTTCAAGCGATCCTTCCACCTCAGCCTCCTGAGTAGCTGGGACTATAGGTGTGCGCCACCACTCCCAGCTAATATTTTTATTTTGTAGAAACAGGGTTCGCCATGTTACCCAGCCTCC CAAAGTGCTGGGATTACAGGCATGAGCCACTGGCCCAGTTTCTACAGTCTCTCTTAATATTGTATATTATCCAGAAAATTTCATTTAATCAGAACCTGCCAGTCTGATAGGTGAAAATGGTATCTTGT T TTTATTTGCATTTAAAAAAAATTATGATAGTGGTATGCTTGGTTTTTTTGAAGGTATCAAATTTTTTACCTTATGAAACATGAGGGCAAAGGATGTGATACGTGGAAGATTTAAAAAAAATTTTT AATGCATTTTTTTGAGACAAGGTCTTGCTCTATTGTCCAGGCTGGAGTGCAGTGGCACAATCACAGTTCACTCCAGCCTCAACATCCTGCACTAAAGTGATTTTCCCACCTCACCTCTCAAGTAGCTG GGA CTACAGGTACATGCTACCATGCCTGGCTAATTTTTTTTTTTTTGCAGGCATGGGGTCTCACTATATTGCCCAGGTTGGTGTGGAAGTTTAATGACTAAGAGGTGTTTGTTATAAAGTTTAATGTA TGAAACTTTCTATTAAATTCCTGATTTTATTTCTGTAGGACTGAACGTCTTGCTCGAGATGTGATGAAGGAGATGGGAGGCCATCACATTGTAGCCCTCTGTGTGCTCAAGGGGGGCTATAAATTCTT TG CTGACCTGCTGGATTACATCAAAGCACTGAATAGAAATAGTGATAGATCCATTCCTATGACTGTAGATTTTATCAGACTGAAGAGCTATTGTGTGAGTATATTTAATATATGATTCTTTTTAGTG GCAACAGTAGGTTTTCTTATATTTTCTTTGAATCTCTGCAAACCATACTTGCTTTCATTTCACTTGGTTACAGTGAGATTTTTCTAACATATTCACTAGTACTTTACATCAAAGCCAATACTGTTTTT TTAAAA CTAGTCACCTTGGAGGATATATACTTATTTTACAGGTGTGTGTGGTTTTTTAAATAAACTCCTTTTAGGAATTGCTGTTGGGACTTGGGATACTTTTTTCACTATACATACTGGTGACAGATACC CTCTCTTGAGCTACATCGGTTTGTGGGGAGTCAAAAGTCCTTTGGAGCTAGGTTTGACAAATAAGGTGGGTTAACACTTGTTTCCTAGAAAGCACATGGAGAGCTAGAGTATTGGCGAATTGAAGAAATC CCCCTTTTTTTTTAACACACTTAAGAAAGGGGACTGCAGGTATACTCAAGAGAGTAAGTCGCACCAGAAACCACTTTTGATCCACAGTCTGCCTGTGTCACACAATTGAAATGCATCACAACATTGACACTGTGGATGAAACAAAATCAGTGTGAATTTTAGTAGTGAATTTCATTCATAATTTGATCGTGCAAACGTTTGATTTTTATTACTTTAGACTATTGTTTCTGATTTTATGTTGGGTTGGTATTTCCTGT GAGTTACTGTTTTACCTTTAAAATAGGAATTTTTCATACTCTTCAAAGATTAGAACAAATGTCCAGTTTTTGCTGTTTCATGAATGAGTCCTGTCCATCTTTGTAGAAACTCGCCTTATGTTCAC ATTTTTATTGAGAATAAGACCACTTATCTACATTTAACTATCAACCTCATCCTCTCCATTAATCATCTATTTTAGTGACCCAAGTTTTTGACCTTTTCCATGTTTACATCAATCCTGTAGGTGATTGG GCAGCC ATTTAAGTATTATTATAGACATTTTCACTATCCCATTAAAACCCTTTATGCCCATACATCATAACACTACTTCCTACCCATAAGCTCCTTTTAACTTGTTAAAGTCTTGCTTGAATTAAAGACTTGTTTAAACACAAAATTTAGACTTTTACTCAACAAAAGTGATTGATTGATTGATTGATTGATTGATGGTTTACAGTAGGACTTCATTCTAGTCATTATAGCTGCTGGCAGTATAACTGGCCAGCCTTTAATACATT GCTGCTTAGAGTCAAAGCATGTACTTTAGAGTTGGTATGATTTATCTTTTTGGTCTTCTATAGCCTCCTTCCCCATCCCCATCAGTCTTAATCAGTCTTGTTACGTTATGACTAATCTTTGGGGA TTGTGCAGAATGTTATTTTAGATAAGCAAAAACGAGCAAAATAGGGGAGTTTAACTTTAATATTTTCTTTTAAAAAGCATTTCATGTTATAAGATCAATTCTGAGTGGTAGAAAATGCTTTGACATTT TATTT CCATTTTCTACTTTTAGTTTTTTTCCTATTTGTTTAAGATCTTAGAGGATTATTAAGCTGAACTCCTCAACTGATAAAAAGCATGACATCTTAAACATAAGCAAAGCATATTTTTAGGTTAATTTTCACATAGAAAACAGTTTATTTTATGTGAAATTCTATGTAGATATACTATTTTTTTGGTATTTATTGATATGTTTATTTTATTTTATTTTATTTTATTTTATTTTATTTTATTTTATTTATTTATTTT TTTTTTTGAGAC AGAGTCTCACTCTGTTGCCCAGGCTGGAGTGCAGTGGCATGATCGTAGCTCACTGCAACCTCCACTCCCGGGTTCAAGCAATTCTTCTGTCTCAGCCTCCCGAGTAGCTGGGACTACAGGTGCCT GCCACTATGCCCGGCTAATTTTTGTGTTTTTAGTAGAGATGGGGTTTCACCTTGTTGGTCAGGCTGGTCTCGAACCCCTGACCTCAGGTGATCCACCCACCTCAGCCTCCCAAAGTGCTGGGATT ATAGGCATGAGCCACGTGCCCGGCCGACATGTTAATTTTTTAAAAAAGGCTTTACTGGGGTATATTTTATATAATATAATAATCACATGTTTTAACTATACAATTCCAAGCTTTTTAGTATATTT ATAGGGCTATGCAAGGAAGATATACTGTTAAACAGTAGAAATTGAGAAAGCTCTTCTGATAATATCTCTTGATTTGATGATGGCTCATGCCTGTAATCTCAGTGCTTTGGAAGGCCAAGACAGCAGAATCAC TTGAGGCCAGGGGTTCGAGACCAGCCTGGGCAACACAGCAATACCCTATCTTTACAAATAATAAAAATATCTGTTGATTTGAAGTAAAGTTTTTTTTTAAAGACAAGGTCTCATTCTGTCACCCA GGCTGGAATGCAGTAGCAAGATCACAGCTCACTGTGGCCTTGACCTTCTGGGCTCAAGTGATTCTCCCACTTCGGCCTCCCGAGTAGCTGGGACTAACAGGTGTGCACCACCATGGCTGGCTAATTTT TTTTTATGTTTGTAGAGATTGGGTCTTACTGTGTTGCCCAGGCTGATCCCGAACTCCTGGGCTCAAGCAGTCTTCCTGCCTCAGCCTCTAAAATTGCTGGGATTACAGGCTTGAGTCACCATGCC CAGCCTGAAGTAGCATTTCTACCCTGTTTAATAATTCAGCAGCTTGTCATGTAAGATATTCATATATGCATATAAACATTAGGCAGCTTAATTTGGTAAAACTGTAAAATGGAAATTTTAAATTGTTT GCA GCATCAATAACATTGATGTCAGTATGATTTTTACATGCTGATCTTGACCAATTTGAAACAGTGAGTTAAAATCTGGCTGATCCGTACTAATCCTAAAGAAATATTCTATGAACTATTAAATGTTT CCAGAATATATAAAGAAACATTATGATGTCAACACACCCATCTATTTTTTTTTGGAAATAAAAACTCCATTTTTCTTATTAAAGAAAACATGCTTATTAGAAAACATACGGCTGGGTGCAGTGGCACACATGTA ATTCCAGTGCTTTGGGAGATCGAGGTGGGAGAATCACTTGAGGCCAGGAGTTTGAGACCAGCCTAGACAACATAATGAGACCCCCTCTCTACACAAAAAGAATTAGTTGTGCATGGTGGCGTGCA CCTGTAGTCCCAGCTACTTGGGAGGCAGAGGCAGGAGCATCCCTTGAGCCTAGGAGTTTGAGACTGCAGGAGTTCGAGACTGAGTGGAATGCAGTGGAACTGCATTCCAGCCTGAGTGACAGAG GGAGACCCTGTCTTAAAAAAATAAGAAAGAAAACACAACTGCAGAAAATTATAAAGGATTTAAGTCATTCCAAATATCACTGCCACTTTTTATTTAGAATATTCTAAAGAATTCTCTCTCTGTGTACACACACACATATGCGTACTCTTAATCCAAGTAGCTTGGTAGGATTTTATTTACCTAGTGCCTAGATGGGAAATTGCCTGGGGATTCCAAATACCTATTTCATTAAATTAAAGATGTCACTGATTTTAAGAC TTAACACTATTTTTCATACTGCCAAGAAAGAAAACACTACCAGTTATAAATGTAAATTGCCATCAATTGTAATACATCAATTTTAGAGCTATTATTAATAAAATGTGAATGTGCATCTTAGAGCAATGAAATATAGTACTATATATTTGATGACCTTTTCTGCCCTGTGATATTCAGAAAGTGAAAGTTAAATATGGGCTGAGCATGGTGGCTCACACCTGTAATCCCAGTACTTTGGGAAGTCAAGACGGGA GGCT GGCTTGAACCCAGGAGTTCAAGACCAGCCTAGGCAATGTAGCGAGACGCCATCTCAAAATATTAAAAATAAGTAAATAAGTAAATAAAAAGAAGGTTAAGTATACAAATGTATTTCCTTTGTTGT GAATTTATTTCAATTTTATAGTGATTTTTTTTTTTTGAGACGAAGTCTCACTCTTGTCCCCCAGGCTGGAGTGCGATGGCGTGATCTCAGCTCACTGCAACCTCTGCCTCCCAGGTTCAAGCTATACT CC TGCCTTGGCCCCCCGAGTAGCTGGGATTACAGGCGCCTGCTACCATGCCTGGCTAATTTTTGTATTTTTAGTTGAGATGGGGTTTCACCATGTTGGCCAGGCTGGTCTAGAACTCTTGACCTCTG GTGATCCACCCGCCTCGGACTCCCAAAATGCTGGGATTACAGGCGTGAGCCACCGTGCCTGGCCAGTGGTTTTTTGTTGTTGTTGTTGTTGTTTTGTTTTGTTTTTGTTTTTGTTTTTGTTTTGAGA CAGGATCTTGCTCTGTCACCCAGGCTGGAGTGCAGTGGTGCCATCTTGGTTCACTGCAACCTCTGCGTGGGCTCAAGCAATCCTCCCACCTCCCTTTCCAGAG TAGCGGGGACCACAGGTGTGTGCCACCACACCTGACTAATTTTTGCATTTTTTTTTGTAGAAACAGGGTTTTGCCATGTTGCCCAGGTTGGTCTGAAACT CCTGAGCTCAAACAATCCAACTGCCTTGGCTTCCCTAAGTGAAATTACA GGCATGGGCCACTGTACCCAGTCTAGTGATTTTTTTATTTTTATTTTTATTTTATTTTATTTTATTTTTTTACCAAAAAAACAACAAAGCCTCAGGAGGAAAAGTTGATACACAAGTAAATTTTA TTGGAAATGTTTTTGTGTGGACCTTAAGCAGAGGGAAAATTAGTCTGCATTATGGTGTATCCAGACTAAATGACTGATATTAAAATGAAATTATTCTTAGGATTTGCAATCTTAGAGAAAACTTTTTC ATTTTTA TTTTTTTGAGTTACAAATTATCTTCATTTACATTTGAGAACAGTGAGTCACAGAGGGATTAAGTAACTTACTCAAGATCATACAAGTCTTTGATTTGAACCCAATCTTTTAACTCTGCAGAACTCAGAGTCACTCTTATTTGGAAAAACTTTTTAACTGATGTGGATCCTCTAATATGGGCTTCCTATTATTCATTCTCTATTAGTCAGAAGTTTTGCAAGCAGACAGAATTCATTTTGCCAATTACGGGATT TTCCC TCAGTTGCAGTCAAGGTTCATAAAACTATAACTCTTTATCTTTAATTAGAAATGTTTTTTTTTTTGAGACAAGGTCTTGCTCTGTTGCCCAGACTGGAATGCAGTGGCATAGTGGCCCATTGCAG CTTTGAACTCCTGGGCTCAAGGGATCCTCTGCCTCAGCCTCCCAAGTATCTGAGACTACAAGTGCGTGCCATCACCCATGGCTATTTTAAAAAAAAAAAAAATTGTAGAGATAGGGTCTTGCTGTGTT G CCCAGGCTGGTCTCAAACTCCTGGTCTCAAGCAATCCTTCTGCCTTGGTCTCCCAAAGTGCTGAGATTACAGGTGTCAGCCGTTGCACCTGGCCAAAACGATAACTTAAAATACACACACACACA CACACACACAAACACATATGTGTATTTGTGTGTGTGTGTGTGTGTGTGTGTCTCAAAAGGTATCAAAAGAGAATAGCTATAACTTTAGTGTTGATCTTGATAGTGACTTGATTAGGCTCTGTTTAACA T CAAAGATGCAAATTAATACTTTCTTTGAACATATTAAAAATGCAGAAAATATTGGAGTATTTTATTTTAAATAAATTGTATTCTGTATATTTAAGGTATACAACATGATGTTATGGGATACATAT AGGTGGTTAAAAGATTACTGCAGTGAAGCAAATTAACGTATCCCTCAACTCACATAGTTACCCATTTTTTTTTTGTTTTGGTGGCAAGAGGAGCTTAAAATCTCATTTAGTGTGAATCCCAAATACAG CACAAT TTTATTACCTATATACTTCATGTTGTACATTATATTTCTAGACTTGTTCATCCTACATATCTGCTACTTTGTATCCTCTGAGCTACATCTCCCCATTTTCTCACTTGCCCCCCAAGTAGTTTCTT AAAGTGTCTCATGTAAGAGGGCAGTAGCTTTCAGCTTAAACTTTTTCTCTGTATGTAGTCGATTTCTTTGAGGTATACTTTTCTCTCCAGAATAGTTAGATGTAGGTATACCACTTTGATGTTGACAC TAGTTT ACCTAGAACTTATCTTCTGTAAATCTGTCTCTATTTCCATCTCTGTCTCCATCTTTGTCTCTATCTCTATCTGTCTATCTCTATCTATCTATCTATCTATCTATCTATCTATCTATCTATCTATC TATCTAAAGCAAATTCATGCCCTTCTCCTATTTATTGAATCGAGACCATAGACAGGGGTGAGAGAAAGAATTTGGCAGGAATGGGGATGTGTATTATCTGTGGCATAAGGAAACTTTACAGAACTAGG TTCAA AAGTATACTTTCTAGTTCTTTCCCATGGCTTTTCACTTTGATGTAGTCCTTATCAGGTAACTGAGGTTTTATATAAGTCCCCTGATTCTTAGAACATGAAGGTGTAGTAGTCAAGGTTGGTCCCT TGAAACCACAAATTTTGTGAAAAAAAATTAAGAAAATTTGAATAATTTCCTCAGCAAATACATATTGATCATCTGTTATACAGCCATGAGAAGTGGTTCTGTTGCACACGTTTATTTTATCAGATCCTAATCC CAAACCAGGCATAAAATGGAAACCATGAAGATAGGATGAAATAACTTCTGAATGTTTGAATGTTTGAAAATAGTGTACTTAAAAATACCAGGTGGTTTTTGTTTGTTTTTTGTTTTTTTCTTTTT TTGAGACAGGGTCTCACTCTGTCACCCAGGCTGGAGTGTAGTGGTGCAATCTCATCTCATTGCAGTCTTGACCTCCCAGGCTCAGGTTATCTCCCACCTCAGCCTCCCAAGTAGCTGGGACTACAGGC AC ATGCCACCACGCCCAGCTAATTTTTTGTATTTTTTGTAGAGACGGGGTTTCACCCTGTTGCCCAGGCTGGTCTAGAACTCCTGGGCTTAAGCGATCCTCCCACCTCAGCCTCCCAAAGTGCTAGG ATTACAGGCATGAGCCACCATGCCTGGCAGAAAATACCAGGTTTTTAAGTATCAGCACTTACTCTTCAATCTTTTCTATTACTATGTTGTGCTAAATGGTATTTTTTATTTAATTAGAGCAATGCTGT TC AATAGAACTTTCTTTGAGGATGGAAATCTTTTATGTTTCTGCTATGTGGTACAGAGCCACTAGTGACATGTGGCTTTTGAGCGCTTGACACATCTTGTGCAACACAGGAACTGAATTTTTAAGTA ATTTATATTGCCACATGTGGCTACCGTATGGGACAGTGTAGTACTAGATGATCTGTAAGGGCTGTGCTTCATCAGTGTCGTTTTTTAACTGACAAAAACCTTTAGTTTTTTTTTTAGTAATGTGTTTA TTTA AAAGAATTCATAAAATACAAGTAAACAAATTAACTTGTTACCTGAGCATATGTCCTTTCATACTTATTTTTTCTGCATACATATTTTGGAAAATGGAATATCTGCCCCTTTTTTTTTATCTGAGATACAGTCTACCTCTAAAAATACATGATTCTAACATTCTCACTTTTTGTTGGCATTTGATCAGGGTATAGAAAAACAGTTAAAAGGACAGAGAATGGTTGAGAGATTATGATATGAAGAGAAAATGTGATTGAGT GTGGTAGACTTGGGGCCTGCTTGAATGTTGAGAGAATGACTGTTTTCCGATAAAAAAAAAAAGTCCATTCTAGGATCCTAAAAGAAGGGTCTGAAGTTCACTGCAGAAAGCAAGCTACATAGTAC TAAGCCACTAAGGGGACATGGAGCCCTTAGTAATTCCTACCTTAGTAATAGTCTCATCATGCCCTCTTGGGAACCCAGCCTTGTTGATTAGCCTCTCTGCTTTCTCTCCTTATAGTTCAACCTCCCTG T TTGTTCCAAGCAGTTCTTTTCCTGCCCATTTATTATGCATTTCTATACAGCTTTCCTCCTCTTTTTCTATACCATGCTGCAGTTCTTATTGCTACCTAGAGGTTTTCAAAATTCCTAGGGGCGGA TAAGTAGGCATAAACAAAGTTCTTCCCTATTATCCTTCCTATTTTTTCACCTAGACTGAAGAGGTAGACAAAATAGAAATAAAGACATTAAGGGTATGTGTTTGTAGTCCCAAAGAGCTTCTCTGGCAATTT TGATGTAGTTGACAGTGACGCTCTGAGTTCAGGACAGATTGGACTCCTTGGCTGAGAGGAGTGAGGAGATAGGACGGTAGAGGAGAGGGTAGAGCAACTCTGGAGGAAGCTTTCCCCTCACCTTT GCCAGTCCTGTTATCCTAGACTTAACCATAATTAAAGATGAGGGAGGCACTCAGTAAAGGGATCTAGTGGGAAGCTTGTTCCAGACAGCCAAGGAGGGAGGTTCGCGCAGTTCCTTTGGCCACC CAGGTGGGGTAATTGATCCATGTATGCCATTCATGTACAATGTAGGCACTTATACCTGTATTCCAATGTAGTGAACTATACCATTACTCTTAAATTAATATTCTTTATTAGCTTCCATGGTGGCT ATAGGCCAGGCAAGAGAGTTAAGAAAAAATAAATAGCCAGGTATGGTGACTCAAGCCTGTAATCTCGGCACTTTAGGAGGCCGAGGCAGGAGGATAGCTTGAGTCCAGGAGTTCAAGACCAGCCTGAG CAAAATAGTGAGATCCTGTCTCTATTTTTTAAAAAAGCCTTGGGGCAAACAGGAGTATGGAGGTTTGGATGCTAATAGAACAGCAGTGTCTTACTGCTTGGAGTTCTCTTGTTTCTTGTCCTATCACCGTAGCCTTTGGATCACAGCAATTTTTCCATGACTCCATACTTTTCAGTTC TTGAATATTTTTTCCTTTATTCCTCTTGTCTCTGTAAAGACATCAACTGGAGTTGGACTGTAATACCAGGTATCTCCA GAAGATGGCACTATTTAACAGATTTTATAAATAATTTGATGTGAGTCACTGTCATCTGAAGCTTGTTGCCTTTTCTTTCTTTCTTCTTTCTTTTTTTTCCCCATCAATTCTGTATGTTTGAAATG CTGGGATTTAAGTTAGTTAGAATAAGGGATGTCTGTAATTTCCCTAAATTGAGAAGTAATATGCAAAGGTTGATATCAGAAGTCATATGCTCACCTTGCAACACCAAATAATACTGGCCCATTTGTGATTTTT GAAAGTAACACTCCATAATAAATGGATGTATATATAGAAGCATAACAAAAATAGAAGCACATAAAAGTGAAAAGTCTCATAAACGCCATTGTCACTACTCATGTAATTGCTGTTACAAATTTGTT TAAATGTTGAATAAAAATGGTGTCATAGGCAACACAGTGTTCCACTACTTGGTGTTTTTAATAGCATTATTCTGTCTCAGTGTGCTTTGGATTATCAGGTGCTTTTTAATAGTTGCATGGTATTACAT TGTGT AGATGAACTTGATTAATTTAAATGGTTCCCTGTTAATGGACATGTTGGTTTGTTTTTGTGAACAACTGATACAGTGAACATTTATTTTTTAAATAAAAAAAAGAGAGACAGGGTCTTGCTGTGTT TCTCGGGCTGGCCTTGAACTCCTGGGGTCAAGCGATCGTCTTGCCTCTGCCTCCCTGGGATTACAGGCATGAAGCCACCGCACCCGGCCCAGTGAACACTCTTGAATGTATCTTTGTATACTTGTCAA G TGTTTTTGTAGCAATTGATTCCCAGAAGTGGGAATTACATGGAATTAAGTGACATGCATGTTTGCAATTTTAACAGGTATTGCTATGTCATTTTCAAAAGAAGCTATGCCAATTAATACTCTCAC CAACAAGAGTGCTTATTTCCCCTCAGCATATTATCAGGCTTAAGTTTTGCCAGTATGGGTGGGAGAACAGTAGAATCACATTGTTTTAGTGTTTGTTTCTCAGATAGATATAATTTTACACCTTATAA CCTT CTCTTCTATAAATTGTCTATTTGTGTTCATTCTCCATTTTCCTATGGGTTCTTATTGTTGGAGCCCAATATATAAAAGGGGGTATTTGTTACAGAACCTCTTCAGTTTTGGTTCATGTCATGCCT GGGTTTTTACCCTTTCTACGGATGTTAAAAAAAATTCTCTATTTTCTTCCAGTCCACTTATGGCTTTATTTTTTACATTTAGATTTTAATCCGTCTGGAATTTATTTTTGTGTATGCTGTGAGGTAGG GACCAT ACTTTTATTTTTTCCCAAATGGGTTACTAGTTGGCCAAACATCATTTATTGAATAATTCATCTTTTCCCTACTGACTCGAAATACCATCTTTATTGTATACTAAATCCTCATATAGTTCTGGGTC TGTTTCTGGGCTCTACTTTGTTCATTTACTGTGCTGGTACTGCACCGTTGTAATTGCTGTGGCTTTGTGGTATGGTATGGCTTGCTCTCTGCTAGGGCAAGTCGAAGCTCTTTTGTTCACCTGCTCTT TCAC CCAAATTTTCTGTCCTGAATCCAGCACAGCCAAATTATGGTCATTGTCACCACCAACTACAGTGGGTGTTGAGCATTTCCCATTGAATCTCCTGTAAGGGTTTTATTGGATTCTGTGATAGCAGT AAAATGGGAGCCTAAGAGGTATTCCTTAAAGGACTACTAATCAGACCTGGTTTCCCAGATGATGCTGAAGATGACGGGGCCTGGGCTAGACTTTTGAGGGACATATCCTTGGGGTTGGGTGTGATATA GACCAGCCCTTACAATTTGCTTGACTCATGGGAATCGTACAGGGCCAGAACCAGACACCTGTCATGCTAATAACTTCCCTCACAATTCAGAAATCACTGTGATTGAAGATGGGTGGCTGTTATAA TACTACCCACTTAAAAATGGATGTAACCCATTTTTTAGGACTCTTAAAAACATCAAATCAGTAATGGCCGATTAGGACTTTTTAATTTTTACTAATCTCTACTTGAAAGTTTTCTAGTCATTCATTTC AGGA AACCTAATTCTTATAATTCATATCATTTAGAATATCATAATGCTATGGATATTAGCTAGCTAACTTCTCAAATCTTCTAGTTCTCATTTAATTTGAAGTTTGTGTGTGTACATAAGGATATACAT ATACATATGTGTGTGTAGATATATATATATATAGTTTTTTTTTTTTTAACTAGAATGACCAGTCAACAGGGGACATAAAAGTAATTGGTGGAGATGATCTCTCAACTTTAACTGGAAAGGTATGTATC TTGAAAG GGAAGAAAAAAAAGCACTTCATACCGAGTCAATTAGTAACAGTGTGCTTTCAATCAATCACTAAGAGATAATTTACATAGTATAACTAAATGGGTTATTTAACCCTTGGAAGCAGTCTAGGTTAATTATCGTTCCCTAGGTCATGTAGTAAAAAGACAGTAGAATCCAACATTAACCTTAAATGTCCATATTGTCAAGTACTGCTGTCTGCCTCTGTGGGACTCTAATTTGGGATCCTTCAAAAAACATTGAT GGG GGAAAAGATAGCCTTTAAAAAAAAAAAAAAAACAAACCTATGTGAGTCTATGTGAGGTAGACTCACATAGTTTCCTAAAAGATAGCAAAGCAGTATTATGTAGTGGCTGAAAGTGTGAGTTCCGGAGCCTGACAACTGATTCAAAGCATGGCTTAGTACTTCCTAACTCTGACCTTGGGCAAGTTACTTAACCTCTCTGTGTCCCATATGTGATTAGGGTGAGGTTGATAATAGCAGCCATAGAGTTAAGAGG A TTAAGTGCTATAATGCAAGTAGAGCTCTTACAACAGTTTCTGGTAAATCACTCAATAAATTCAGACATACTATTATTTTAAGAAATCTCAAAGAGTTTTCTTGTACCTTAAAATTCTCCTAGTGT GAACCATTGGTTTTGGTATATTGTGCTTCCATGTAGTTTAATATCAAGATGTTTTTAGATTTCCCTTTTAATTTATTTGTTGACCCATTGGTTGTTCAGGAGCATGCTGTTTACCTGAAAATAATGGA GATATT AAGGTATTTGAATATTTATCTTCTAGTACATTGAAAAACTTTTTGAGAGTAACCAATAATAAATGATGGAATGCTACTGCTTTTTTTTTTTGAAGCTGCCAGTTATTGTTTACTTACACTATGCC AAATATAAAGGCATTAATCTCATAAAAGTTTCACAACAATCCTGTGAGGGAGACGATATCCCCATTTTACAAATCAGGAAATTAAGACTTAATAAGGTTAAAAGACTTGCCCCAAAGTCACAGAACCAGTAAG TGGTAGAGCTTGAATTTGAATACAGACCTGACTCTAAAGCTCTTTTCTTTCTTTAGATTTTAGTGTTCATTGCTTACTTGAATGAGTATCTATAAGAAAACTTTAACATGTAAAACTTCTGTGAA ATTATCTTGTCCCATATCAGGGTCATGTCAAACTAATGTCCTCCTCAGCATCTTTGGAAAACTTCAGAGGAGAAATGAGCTTTGCCCCTCCTGTTCATTTCCTATTCCACTAG GAGACCTGTCCTTCCCTTT CAGCATGCTTTGTCCATATTTAGAAGCTGTTGAAGCCATTACTTGTCTGGTCAGTTTTTAGTGCTGGAATGGACCTAGCCTTTTAGGCCTTCTGAGATTTAGTTTGATCTCGTCTTTCCCACCTA ATGGCTCTGTTCTACTACATAGATTTGATCTGAAACAGTTCTCTGTTTCTAAAATAACTTTCTTTTCATGATAGTCACAGTAAAGTACATTTATTATGGAAAAATCAATAAGTATAACGAGTGAAAGTTATT T CTTGGTGGTAAGATTATGGGATTATTTGAACTTTCTGTTTCATTGTATTTTATTTATTTATTTATTTTTGTGATGGAGTCTCACTCTGCTGCCCAGGCTGGAGTGCAGTAGTACGATCTTGGCTC ACTGCAACCTCCCCTTCCCAGTTCAAGTGATTCTCCTGCCTCAGACTCCCAAGTAGCTGGGATTACAGGCGCACGCCACCATGCCTGGCTAATTTTTTTATCTTTAGTAGAGACAGGGTTTCACCATG TT GACCAGGCTGATCTCCAACTCCTGATCTCAGGTATCCACCTGCCTCAGCCTCCCAAAGTACCGGGATTACGGGTGTGAGCCACCCTGCCTGGCCTCATTTTGTCTTTTGGGGGTATTTTTGTGTG CAGATATATATGTATATAAATATTTTTCCCTCTTTTCCCCAGTTAGTATTTGAGCAGATGAACTTTGGACCCGAATACCTGTATTCAAGTCTCTAATACCACTTCTTGGCTATTTTCATTTTATCAAA TG GCCTCTTATCCTCGTTTTTCTCATTTATTAAGTAGAGATGTAACTACTTGATATAATTCAAAAACTCAATAATGGCATTCTTTTGTTTTTTAGACTCTAGTGTCTGTACTCCTTGTACCATGCTG GGATTCATTTGAACAATTGCATGGCTTTTTTAGTGTATTATTAAATTTGCAGTTTACTTAGAATTTACTGGGACCTCATACAAATGGGAAAAAAACATAACTGTGTTACTCATTTGCTGTGTGCCTTT GGATTG ACCCTATTTTTTGTATTCATTTTCTCCCCATGTCCTGAGTTCCACTTTGAATAAAAAAGTAATTTTTTTCCTGCCTGTAAAATAGGCTACCAATAGGCTGCAGTTGTCTATAGTAGCTGCTTCAC TGAGGAGAGCTCAGCATGAGAGAAATAGTATGAATTGCTTGCCACAAGTTATGGGCTAGCCTTACTTCATTCTGTACTTGGACCTGTTTAGGCTTCTAAGAGATCTTACCTCCAACAATAAACTGCTT TGA GACATGAAAAGGTGGAAGCTTTACTTGGTTATAACTTTACTTTTAATACCTAGAACAGTGAGTCTTCAAACTTGTATTTGCATGCCCAATTTATAAAAAGTTTCCTGAGCATTTACCCCTAATAT ATGCATTTTAAATTATATATGATTTATGGTAATAATAATATATATGTTACAAAATACATACAAAAATATAGATTAAACAAGGTGAGGTTAAAAAATTTAAAAGTTCTAATCTTTCTTGCAAACCAGTGGATCTTTT GTGCCTTACTCTGGTAAACACTGTCTTAGAAGAATATATAGAACATTAAAATCTTAATGCTATAGTTATATGACAGAGTATGATGAGAGCTACAGATAAACAACACATCATGAATCTTCTTGTGG CAGTGTTTATAACCATTATGTGAAATGCTGCCTCATTCTTATAACTAGCATAAGAACAGATAGGACTTTCTCGATTTTGAGGGGTAATTATTAGATGGTATTTTCTGTTAAGGACTCTTCCAGCTATA AAATT CTTAAATGTAGAAAGCGAAGTGAGGGTTTATGGTGAGAGGAAGCATTGGTATCATGTTTTAGTGTAGTCCAAGAATATGGACACATCCAGAAAATGCAGATCAAGTTTAGCCTAATGAGAAAATATATTTTGGAGTCCATATGGTAAATTAAATTATGTGATTTTTGAGTTATTGTACAAATATAATTCTTAGAATGTTAGAGTCAGGAGACTATAAGAGACCAACTGCTTCAAGTTTCATTTAACACATGGG AAA CTAAGGCGAGAGAAATTTCAAGACTTGCCCAAGATTAGACCTCTTGTTAAGTAATGAAAGTGTTTTAAAAACAGGTGGGTCAAATTCTGTTTTTAAAATTTCCATTATGATGAAAATTTCAGTAT TACAGGCTTCCAAATCCCAGCAGATGGGCCACTTGTTTAAAGGAGAGTTTGATATAATAAAGCATCTAAAAACAAGAGTTTGGATAATTCCTTAGGGTTGTTATGATGTGATTTGACTTATAATTGGA AATA CCGTTTTATTCATTGTACTGATTTTCATTTCTCTTTTTCTTCTAGAATGTCTTGATTGTGGAAGTAAGTTCACATTTACTTTTAATATAACATTTATGACTTTTCTAACTTAGTATGCACCATCC TAAAGGTAAGCCAGGGAGAGAAATTCCTCTGCATCAGTTTTAATGGTGGGCTTGTGTTCTAAAGGAGTGAGATTGGTTTTTTGTAAAGACTACTTAGTAATTTGTTTTTACCAATAATGGAATGGTAT ACTTCC TACCTCTCTTTTTTTAGTTTGAAGTATTTTCTTTCTAAACATAACTCTCTCTCTCTATTTATCTATATATAATATATACATATATATCTTATATTTTATGTATATATATATATATCTTGCTTAGA TTTTGTCTTATGTAATATTTGGTACATAAAAAATAATATTTATAATTTATAGACTATTTTCCATGTGTTATTATGTGCTAAAGTATTTTGTATCTTAGCACCGAGAGGCTAAGCAGTTTCCTAGGGTT ACCAGCTAGT AAACTAAGGGAAACCTTTACTTCCTTTAGCTCAGTGGTTCTCAAAATGTGGTTCCCTAGACCAAAAGTATTAATATCAGACAAGAACCTACCGAATCAAAATATCTGTGATGAGGCCCAGCAAGC TATGCTTTAACAAGTTTCCGAGTGATTCTGATGCATGCTAAGGTTTAGGATCCCTTGTTTTTACTCATAAGTCACTTTCTCATTAAGGCCTTCCCTGGCCATCCTATATAAAATCTCATGTTTTCACA CCG TCAACTTCGTATTCCTCCTCAATACTTTTATTTTCCTGATCACTTATCACTAACAGCCTCTCTCTCTCTCTCTCTCTCTCTCTATGTATATATATATATATATCACTTATCACTGTCTAACAGCC TCTCTTTATATATATATAATCTATAGATTATATATATATGCAGCATTGTGCAATCATTATCACGCTCAATTTTAAAACATTTTCATTTCCCCACAAAGAAACCCAATCCCCTTAGCCATCACTCCCAATTTTCCCT TCCCCCAGCACCTAGCAAACTGATCATCTACCTACTTGCTGTCTATAAGATTTGCCTATTCTGGACATTTTGTATAAATAGAATCATACAATATGTGGCCTTTTGTATCTGGCTTCTCTCACTTA ATGTTTTCAAGGTTCATTCATGTTGTGGAGTATATCTGCACTCATTTCCTTTTTATTGCCAAATTGTATGGATAGACAGGTGTTCCTCAACTGTGTCCTGATAAACCCATCTGAAGTTGAAAATATCA TAAGT TGAAAATGGATTTACTACTTTGATAAATCTATCCTAAAGTCAGAAAAATCTCATGTTGGAACCATCGTAAGTTGGATACCATCTGAATTACATTTTTGTTATCCATTCACTGGTTGACAGACGTT AGGTTGTTTCCACTGATGCTCCTTATTTCTCGTACCTGAAATGTCCTTATTCCCTCCCTTCTTATCCCATGTTTAAGTCATTTAAGACCCAGCTCAAACGTCACCTCCACAAAACCTTCCTTGATACC CCTTT CCTCTTCAATTCACTTGGACCTTTTGCATTTAATTTTAATTTTTATTTTTTTTAAGACAGAGTCTCACTCTGTCACCAGGCTGGAGTGCAGTGGTATGATCTCAGCTCACTAACTACTCTGCCTC CCAGGTTCAAGCAATTCTCATGTCTCAGCCTCCCAAGTAGCTGGGACTACAGGTGTGCGCCACCATGCCTGGCTAATTGTGTGTGTGTGTGTGTGTATGTATGTATGTATATATGTGTGTGTGTGTAT AT ATATATATACACAAACATATATAAATATATATACATATATATATATACACACATATATAAATATATATACATATATATATATACACACACACACACATATATATATATATAGTTTTTTTTTTTTT AAGTAGAGATGGGGTTTTGCCATGTTGGCCAGGCTGGTCTGGCCTCAAGCCATCCTCCCACCTCGGCCTCGCAAAGTGCTGGTATTATAGGCATGAGCCACTGTGCCTGGCCTGCATTTCATTTTAAT TATAAA ATATTTTGAACTCAGAAAAAAGGGTATGCTGAATACCTACGTACCCACAAAAGTATTAACATTTTGCCATATTTGCTTCTGATCTTATTTTTTTTGAGAAATTAAAGATCATAATACAACTAAAG CCCCATTTCTTTCCCTTCATTCCCAGAAGTATGACAATTATCCTTAAAGTTGATATATATCATTCCCATGCATGTTTTTTATACTTCCCTAGTACAAGTTAGCTGTATCCTCTGCTCAGGGGCTCATC AAGCTG AATCAAGGGACTCATGATCCTCTTCAAAGTTCCTTCAGGTTGTTGGCAGAATTTAGTTCCTTGTGATTGTAGGACTGAGGGCCCGTTTTCTCACTGGCTGCTGGCCAGGGGTTGCTCCCAGATAT TTAAAGGCTCATGCCCTAGCCCATGACAGTCTCACAACATGGCAGCTGACTTCTTCAAAACCAGCAGGAGAATCTTGCTCTAGTCTACCACATAACCTAATCACAGGAGCGGCTATCCCGTTATTTTC ACAGATCCTGGTCACATTCAAGGGGAGGGAACCCTTCTGTGTGTGTACACCAGGAGGCAGGAATTTTTTTTTTCTTTTTCTTTTTTGTTAAAAAGTCTTAAAGTCTTTTATCCCTAAAGGAGGCA GGAATTTTGAGAGCCATCAGAATTCTGCCTACCACAGCCCAGAAATCTGCATTTTTCACAAGTCTCCAGCCATGATGTTTCTGATGGCTCACACTGCTTTATTCCATTTTTAAAGAGTATTTTTATTG AAA AGCATTAGGGTTATGGTTTAAAAAATATTTTCCCTAACAAAGATGGGTTTGTTTAGAGTCCTACTTTTGACTAAATAGCTGAGATTCACTTTTATGTAAAGTTCATTTTATAGCGTTATTAATTT GGGTGCCTTTAAAAATAGTATAAAGCATGTTTCTCGAGTGTAGTCTGTTAGCCACCTATATTGGAGAGTTGGGAGGAGAGAGTCTCTATCTTGAATTTATGGGAAAAATTCTAAAATACTTTTTATAATGAAG GACAACATCATAACTCCCTAATAAAATGTGCATGTATATATTCAAATTTGCTGTCATTGATCCTGCACCTACAAAATCCAGTCCTGGGGGCTGGCATTCTTACTGCTTGCTGAGGGCCAGATGAT ATAGATTCCAGAATATCTCCATGTAGATTTTGGTGAGAATTACTGTGCTGAAAAGAATGACAGTATTGCAGTTATACATGGGGGTTTTGGTACTTTATATTGTGACTCTGAATTTAAAGCTATGCAAT GTC TTCTTTTTTGAAAGGATATAATTGACACTGGCAAAACAATGCAGACTTTGCTTTCCTTGGTCAGGCAGTATAATCCAAAGATGGTCAAGGTCGCAAGGTATGTATGACATTTTGACACAGAATAT TTTCCTCATTTGAAGGGGGATTAAGTGATTGCTTCTTTTTAAGGATAAATGTTTTCAACTGTCATTTTATCTTCGAAAAGTAATGTAATCTCATATAAGACTTAAGATATAATCCTTTTAAATAATTT TGTCAT GTGTTAATAAAGCTCATAATTACAGTCACTTCCTTGCTAATATTAACATTTGGTTTTCAGCATGCTAATTATATCAGTTTGTCCTGAATAGCATGGCAGAGGATTTTGGGCCCCCTTGCAAAATT AAGAATAAGGATTCCAAAGCGGGTGAGGAAGTGATAGGAAGGGGTGGGCCCTGAAGATCTGGACCTCCTGGAATTGAGTGATGAATGCTGCATCTTCTTTGTGTCTGTAGTGAAATTTTATAATGCCT G CTTCCTTTTTTATTAAGTCGGCCTCACCTCCTCACCTTACCTATGCTGTTTTACTTTTGCTTTTATAGTTCTACCTGTGTTTATTTCTCATTTTCGTTTCATCTCTCAACAACTCTGGGGTGGCA TTATTATTCCCACTTTTCAGATAAGGTTACTGAGGCATAGGGAATTGTCCAAAGGTACAGAGCTAGTCCGCTATAGAGATGAGATTTGAACCCAGGGAACCTGGCTCACAGTTTATGCTTTTGCCTAC CTT AAGTTTTTAATAGAGTGACATCAAACAAACATTTAAGAATATGTTTTTCTTTTCCTTTTATAATTTCATTAAAAACATTAAGTCTCTGATCAGTCTGCAGTTTTTATGTAGGGGTCAGGTAATGT TCTAACTTCTGCTTTTTCCTAAGTGATTAACAGGTTTTTATAAGCCCTTTTGAAAAAATCACGGTATCTGTCGAGCATCTTTGAATCAGAGTAAGCCTTCTAGTGAGTCATATGTCAGCAGTTTGACT GTATG GGCTTTTCTAATATCCAGTTCAAGTGTTTATCAGTGAGTTTTTCTTTTAAATAGATTTGGGACAGGTACTATGAGAGTATATAAGTGATACGTTATAGGACACTAACTAGTATCCTATGAAATGG CAAAAACTGCAATCACTTTTGCACCAACCAAATAGAAACTAATCAGTGCACTTGCTTATTTTTCTACATGCTCTTTAGGGTTTTAAATGTCAACCTACTGTGGCATAGACTTTAATCCTCTGGGTATT CTTTT GTTGTTCTTTCCTGGTATATGCTGTGGAATTGAGATAGACTGGTTCGTGAGCGAGAGATTTTGTGTTGCCACAGGTAGGACATGCTCAAACAATACTTGGGTCATTTCTTGACCCAAGTCATCTA TTCACCATAGTTTTGTAGCACCGATCTTGCATACATTTCATGTATCTTCTTTGAACCCCACGTCAGTGCTGCTTATATGATACTCAGAAATTAAACACTAAGGAATAAGATTTTCAGGTAGGATTGAG TT TTGGAGGGTCACAAATCTTGTAATGTCTAATATTTCCACTCTCCCTGCTGAGAATTAGTTTTGGCTTCCTTGGAGGTGATATCGCCTCTGTTGAGTATAAGTGGCCTACTGTGATCACACCACTG CACTCCAGCCTGGGTGACAGAGTGAGACCCTGTCTCAGAAAAAAAAAAAAAAAAAAAGAATGCATGGCCTAGATGACTTCTAAGGTTTTTCCCACCCAGTTCCAGTTTTCATGTTCTAGGCAGAGCAG T AAAGTGAGAAACACATGGACTTGGGAGTTTAGTCTCGCATTTCACTGCCACTTAATCTGAGCGACTATTCCATATTTAATCTCTCTGAATGTATTTACTCATCTTTAAAGGGGAATGATTATTAA CATCTTTTTCTCAGGGAAACTATATGAGTCAAGGAGATAATATATTTGAAAATCTTTTTAACTGCAAAGCGCTGTTTCACTGTTGGTTATAATGTGATTGATCTCATTGTAGTGAGCAGCTGCTTAAT TGCG TTTTAGAATGTAGGGAAGATAGTAATATTTTTCACATTATATATGTAGCTGGTTCTGGAACTGTAAACATACTCCTTTTTTATGGAGATCTGAGTCACGTACCATAAAATTCACTCTTTTAAAGT TGTACAATCCAGTGGTTTTTGATATATTCAGAGTTGTGCATCTGCTACCACTATTTCATTTTGGAACCCAAAGAAACCTTGTACCCATTAGCAGTCATTCTCCCTTCTCCCAGCCCCTGGCAACTACT AATCT ACTTTCTACAGAAAGTCCGTACAGATTTGTGTATTATGGACATTCCATATAAATGGACTCATGCAATATCCTGTCTTCTTTCACTTAGCATAGTGTTTTCAAGGTTCATCTAGGTTGGGGCATGT ATCAGTACTTCATCCCTTGTTTTGGCTGAATAATATTTCATTGTACAAATATATCACATTTTGCTTATCCATCTGTTGGTGAACATTTGAGTTTCTACCTGTTGGCTTTTATGAATAATGTTGATTTG AATGT TTGTGTACAAGTATGAATACCTGTTTTCAGGTCTCTTGAGTATATAGTTGCTAGGTCATATAGTAACTCTGTGTTTAACATTTTGAGGAATTGCCCGACTATTTAACAAGGTATATGTACTGTTT TACACCAGTAACATATGAGGGTTCCAATATCTCCACATCCTTGACAACACTTGTTACTGTCCTTTTTATTGTAGCCATCCTAGTGGCTATGATGTGGTATCTCATTGTGGTTTTGATTTGTGTTTCTC TGAT GCTGATGATGTTGAACATGTTTTCATCTGCTTATTGGCCATTTACATATATCTTCTTAAGAACGGTTACCCATTTACAGTATGGAAAATGCTTCAGATGCAACTCTAGTCATGCCTTAGAGATGG AGCTTTATTAAACATTCAGATCTCTAGGCATATGAAGTGCTGAGTTCTCTTGAACTCCTAATACAGATTGCACTGAGTTTAGTGATACCTTTTCTGGAGCATTCCTGAGTTCAGGTAGGGAGAAGGGT TTT TGCTGTGATTGGCTTGTTATGTTCTTTCTAAATGGAAATAGAATTGAAGTGTCTCCTCTCTCCATTTA Some types of alternative splicing Alt. 3’ SS Alt. 5’ SS Exon skipping |pA Different termination |pA Alternative splicing: Occurs in almost all of the 25,000 human gene transcripts Alternative splicing in the alpha-tropomyosin gene (7 isoforms) Similar proteins but subtly different to suit different tissues The alternative splicing champion Dscam transcript alternative splicing (Drosophila) 12 38 33 2 Each isoform has one exon 4, mutually exclusively Exon choice within each class is mutually exclusive. Codes for axon guidance proteins as well as function in the fly’s immune response 60 kb gene 115 total exons/gene 38,016 combinations A cautionary note: 95% of human genes show evidence of alternative splicing Low levels could be simply mistakes. Or genes trying out new exons to see if they are useful, or give them a chance to become useful (through mutation, evolution) But there are still a very large number documented cases so there is no doubt that alternative splicing greatly increases the complexity of the mammalian proteome. Many human genetic diseases are caused by mutations causing missplicing • 1) Frank splicing mutations loss of an exon loss of a gene product or of an isoform (e.g., β-thalassemia, loss of a hemoglobin) • 2) More rarely, but on the increase (in terms of discovery), activation of a false exon (e.g., muscular dystrophy, cystic fibrosis: protein function disrupted or protein terminated prematurely) • 3) Theoretically, loss of a splicing factor (?) (lower organisms) Anti-sense RNA: A therapeutic intervention at the level of pre-mRNA splicing Pseudo exon activated disease Antisense = block and skip unwanted pseudo exon Alternative splicing Unwanted alternative = included Use antisense skipped Bias alternative splicing Against an unwanted isoform (e.g., Bcl-X alt. spl.: Bcl-XS = promotes apoptosis; Bcl-XL = inhibits apoptosis and promotes cell growth, cancer) Alternative 5’ splicing Unwanted = longer exon Antisense shorter isoform Got this far Nonsense mutation d Antisense-induced skipping x Expendable exon (e.g., protein with many repeated domains) Exon must be multiple of 3 in length to maintain reading frame after skipping Therapeutic intervention at the level of pre-mRNA splicing A. Interfere with improper splicing caused by splice site creation or activation E.g., beta-thalassemia (R. Kole) in which a splice site has been created by a mutation in a hemoglobin gene Use complementary DNA (antisense) Rapidly degraded: Use modified bases, sugars: PNA, morpholino, 2’ OMe, Normally, DNA-RNA hybrids + endogenous RNase H type activity RNA destruction Modified antisense DNA circumvents this problem (don’t want mRNA destroyed here, want to correct its splicing PNA = peptide nucleic acids B. Bias alternative splicing ratios Target the unwanted isoform exon-intron joint. e.g., BCL-2 isoforms, one is pro-apoptotic, one anti-apoptotic. The latter increased in many cancers Target the anti-apoptotic isoform in cancer cells. e.g., GABA-a-gamma-2 receptor (GABA = gamma amino butyric acid, a neurotransmitter) Long and short forms. Long form associated with mental illness. C. Skip offensive exons e.g., nonsense truncations in dystrophin RNA modification for stabilization ase Instead of deoxyribose or ribose Modified phosphate ase Still base pairs OK! Even more extreme and more stable: peptide nucleic acids (PNAs) RNA modification B = a nucleic acid base Amide bonds, No ribose PNA = peptide nucleic acid Attached 1 to 4 lysines here Base pairs even better than natural nucleic acids (higher melting temperatures) RNA modification Also can add 2’ MOE -O-CH2-CH2-O-CH3 MOE = methoxyethyl - Phosphorothioate deoxyoligonucleotides Sazani P, et al. and Kole R. Systemically delivered antisense oligomers upregulate gene expression in mouse tissues Nat Biotechnol. 2002 Dec;20(12):1228-33. EGFP: Enhanced green fluorescent protein = model system Antisense “RNA” injected into tail vein, RNA was modified for stability Mutant globin intron has activated splice sites Actin promoter, universally expressed. Induced exon skipping yields green fluorescence No antisense: Antisense treatment in cell cultures (ex vivo) from the mouse with the mutant EGFP gene Control oligo (C) (50 nt downstream) was ineffective. Max. effect = 40% Dystrophin gene 2400 kb, mRNA = 14 kb, 79 exons: a giant gene Protein maintains muscle cell membrane integrity Mutation: Duchenne’s muscular dystrophy Some cases (~half) are due to stop codons (nonsense) in a repetitious exon (spectrin-like repeat, length = a multiple of 3) Deliver antisense to the ends of exon with the nonsense mutation in mdx mice (model for Duchenne’s) to promote the skipping of the nonsense-bearing exon and so avoid truncation of the protein . Use AAV (adeno-associated virus) to deliver the antisense gene Measure: mRNA with skipped exon dystrophin protein muscle histochemistry for dystrophin Use antisense RNA to target the branch point upstream of the offending exon 23 and the donor splice site downstream of the exon. protein mRNA = 3 X 71 79 BP = branch point; SD = splice donor Branch site (consensus = YNYTRAY) Sequences targeted by antisense U7 promoter Double target synergistic (loop?) (Kole) compl. to splice donor site compl. to branch ITR = inverted terminal repeat, characteristic of AAV Consensus binding site for Sm proteins (to target to pre-mRNA) Expression of U7 antisense construct RT-PCR transgenic U7SmOPT-A.S. U7 Endog. U7 0 2 4 6 (slow onset = conclude slow mRNA turnover) 13 weeks included Splicing assay (RT-PCR) Skip exon 23, after 2-4 wks. 0normal 2 4 6 8 13 weeks Dystrophin protein (Western) Muscle immunohistochemistry Normal intriguing Untreated mdx Treated mdx Top, middle ,and bottom dystrophin dystrophin-associated antigens