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Therapeutic antagonism of microRNAs


  Bioinformatics in the
  development and
  understanding of
  oligonucleotide drugs
  Morten Lindow
  Group leader, Bioinformatics
  Santaris Pharma A/S

  Aalborg University November 2010
Most drugs work on proteins
CGCUGUGAGGUG        Chemically simple
    GUA                 1D
…GGGCGACACUCCACCAUGAAU……Fewer cellular compartments
    |||||||||||||||
                        Easy to develop regulator



             translation




                                Chemically diverse
                                3D
                                Many types of interactions with ligands
                                Diverse cellular compartments
                                Hard to develop regulator
Enzyme-directing oligonucleotides



  ASOs      siRNA          miRNA



 RNAseH                     RISC
            RISC
Designing oligos as RNA regulators
              Intelligent design            Natural selection
              (oligoinformatics)




      ASOs                         siRNAs                       miRNAs

TargetSurveyor.pl                                     Lindow et al.,
                                                      PLoS Comput Biol. 2007

                                                  Plant genomes have
7/10 have IC50<5nM
                                                  >2000 genomic pre-miR
Conserved across species
                                                  structures with
Minimal off-targets
                                                  complementarity to
…
                                                  mRNA. Just waiting for
                                                  the right niche to show up.
CGCUGUGAGGUGGUA
                                       |||||||||||||||
                                  CCCCCUGAUGGGGGCGACACUCCACCAUGAAUCACUC




• Vast compound libraries
• Combinatorial chemistry
                                     TargetSurveyor.pl




                                                                         ~2 years
                                                                             ~2 months
• High through put screening on      Automated oligosynthesis
  primary target
• Specificity screen on related      qPCR
  receptors
• Tolerability screen


        Lead optimization                            23 optimized leads
                                                     2 in pre-clinical dev
                                                     2 in phase 1
                                                     1 in phase 2
      Clinical development
Both Nature and Business make
use of oligonucleotides
LNA-antimiR – miravirsen
- an oligo to regulate an oligo
                                   8 LNA,
                                   7 DNA

                    miravirsen




                                                miR-122
                                            RISC



             Inhibits expression
Wienholds et al, Science (2005)
Antagonism of miR-122 leads to
        reduced plasma cholesterol




                    Single i.v. injection of   Three i.v. injections of miravirsen
                    miravirsen in mice         in African green monkeys

Elmen&Lindow et al, Nature 2008
Esau et al, Cell Metab 2006
miR-122 and hepatitis C virus
   HCV is a single stranded RNA virus
   HCV genome resembles an mRNA
   170 million infected worldwide
   Current treatment often ineffective and
   with serious side effects




2x miR-122 binding
sites in 5‟NTR                          Viral replication
          Jopling et al, Science 2005




                                        Elmen&Lindow et al., Nature 2008
HCV is the target indication for
miravirsen
?   Can miravirsen reduce HCV-load in vivo?




?   Can HCV mutate to escape miravirsen treatment?




?   What is the physiological role of miR-122?




?   Does miravirsen have any off-targets?
miravirsen reduces HCV in
          chimpanzees




Lanford et al, Science 2010
Can HCV mutate to escape
      miravirsen treatment?
      Direct-acting small molecule inhibitor   LNA-antimiR targeting the host factor
      of viral RNA polymerase                  miR-122

                  Rebound during                    Rebound 2 weeks after
                    treatment                         end of treatment




                  Period of treatment
Cooper et al, J Hepat, 2009                                     Lanford et al, Science 2010
Deep sequencing of virus from
treated animals
HCV specific primers to amplify miR-122 binding region
454 deep sequencing
73,000 to 214,000 reads at 4 time points

                   Does frequency of variants change?
No evidence of viral escape from
miravirsen!
Antagonism of miR-122:
Effects on gene expression

What is the physiological role of miR-122?

Are miR-122 targets upregulated after miravirsen
treatment? Can this be used as an efficacy
endpoint?

Is there a non-sequence specific effect of treatment
with LNA-oligos?

Is there a sequence specific effect of treatmentwith
miravirsen? (off-target effect on mRNAs?)
Distance between transcriptomes
       5 fat mice treated with miravirsen
       5 fat mice treated with 2 mismatch control
       5 fat mice treated with saline




Data from Elmen & Lindow et al, Nature 2008
Are miR-122 targets upregulated
   after miravirsen treatment?
                                                                   miR-122
                                                               RISC



                              Inhibits expression




On the level of the individual gene only a few targets are significantly upregulated
(n=5) and only with about 25%
Sequence and expression analysis
   combined yields a miR-signature


  Expression analysis     Sequence analysis

     antimiR

  mRNA changes
                            All ~20 000 genes
     Control


                            predicted
                          miR-122 targets
for each gene:
  log2(antimiR/control)
  0 means no change
miR-signature is an efficacy endpoint
                                                                Null-hypothesis:
                                                                Are the distributions of
                                                                background and
                                    14503                       predicted targets
                                    mRNAs with                  identical?
                                    no site
                                                                Test:
Density




                                                                two-sided Kolmogorov-
                                                                Smirnov



                                                 879 mRNA
                                                 with
                                                                     p=6.60E-27
                                                 miR-122 site


                 0                           0

                 Response to miravirsen treatment
                     log2(miravirsen/saline)
Microarray data from four different experiments


                Model   Liver Northern   Serum cholesterol levels


Monkey
Normal diet




Monkey
High-fat diet




Mouse
Normal diet




Mouse
High-fat diet
On gene level: only little consistency
between mice and primates
Pathway level changes
     Unbiased pathway analysis

  6% 0 1( & 1 (
  1& - 2 "+
   $ ( /# & 2 * #
     '&    '  1)                                     !"$ ') #*+ ./#%' ( /' /45" 0
                                                      # & % - ) 0 " .3 ( 0 &
                                                       %% "
                                                          (  ( ,(  (1 2
                                                                    #        ! - %




                                                              . (
                                       " # *+))))))))))))4 '4 +




                                                                                               -%( )))))+ 5 (
                                                                                              ##," ))))))( 4+
                                       &(%$ )))))))))))))-%$
                                        0 '4 " )))))))))))) # * "




                                                                                              % +)))))) & " $
 . $+#$
  (+ )%
   8 $ %
    9 . &
                      5 - # < , +* %

                                                                              - $ .1
                                                                               ./0)2
                      " . %#," ) : *
                       8 ) -%( %   ,



                                                                              3 4&
                                                                               + 56
                                                                               ( %
                                                                                &

  , *% $
   .+$ %
    ( )%
       # &
        .
                           %




                                                                                                ,
                                                                                           !"$
                                                                                             #
                                                                                             %&
                                            . (




.(+ ),, *%
  $+ ).+
  8 :
    9    (                                                                               - $ . ),
                                                                                          ./ 1 $
                                                                                            0 * +
                                                                                - $. )
                                                                                 ./ 1
                                                                                   0 7
   ; *5 ( ,
   "& . '%
      )/                                                                     3 *##, &
                                                                             * 1 -% 6
                                                                             + )
                                                                              '/$ % %,


              !"$
                #
                %&                                                   !"$
                                                                       #
                                                                       %&
             '%,
               () $
                %*
                 +
                                                                    '%,
                                                                      () $
                                                                       %*
                                                                        +



                                                                                    monkey    mouse
Pathways responding consistently
across diets and species
Cholesterol synthesis enzymes are
downregulated across diets and species




                              Hagedorn, et. al, unpublished
Systems biology successfully
explains pharmacology!
Off-target effects?
          miR
   RISC         Yes, the antimiR binds and
                derepress targets of the miR


                         antimiR


                               Direct effect on (partially)
                               complementary targets?
cells or animals
      treated with oligo
      or siRNA

                                              1. Calculate fold
                                              change in the
                                              concentration of
                                              each mRNA
      Untreated or
      mock treated
      animals



                              2. Rank mRNAs by fold change

    up in treated                                                        down in treated

                3. Sequence analysis: Mark presence of all „words‟ of length k
                4. Test if a word is over/under represented in one end of the ranked list
Sylamer, Enright lab, 2009
6 nt words          7 nt words


                                                      Sites complementary
                                                      to miR-122


                                                        Noise level


                                                       Sites complementary
                                                       to oligo




Obad et al., Nature Genetics, in press
No evidence of direct regulation of
mRNAs by LNA-antimiRs!
miravirsen is in clinical trials


★Preclinical tox: “SPC3649 (miravirsen) was tolerated at doses that far
 exceed those intended for human clinical use”
★Phase Ia study completed: Single dose, dose-escalationin healthy
 volunteers
★Phase Ib completed: Multiple ascending doses in healthy volunteers
★Phase II ongoing: Hepatitis C patients
Phase 1a. Dose dependent reduction of plasma
cholesterol in humans
Summary
 Bioinformatics: Sequence analysis facilitates
  oligonucleotide drug development
   Design of specific, potent and tolerable oligonucleotide drugs
   Methods for expression data analysis on efficacy and specificity
 Systems biology: miR-122 coordinates expression level of
  cholesterol biosynthesis enzymes
 HCV-treatment: Miravirsen appears to be a promising new
  HCV treatment
   First time a microRNA is a drug target
   No escape mutants in treated chimpanzees
   Awaiting phase II data
Acknowledgements

Santaris microRNA research group
Sakari Kauppinen
Susanna Obad
Joacim Elmen

Santaris Bioinformatics group
Andreas Petri
Lena Hansson (now Intomics)
Elfar Torarinson (sysadm consult)
Peter Hagedorn (post doc, now at LEOPharma)



Center for biological sequence analysis, DTU
Henrik Bjørn Nielsen
More…..
 mirmaid.org microRNA information for computers, open
  source API to miR data resources
 bio-geeks.com, blog with other geeks about bioinformatics
 RNA.dk – homepage for new big project about Enabling RNA
  Therapeutics
 oligoinformatics.org, New. Specialized blog on oligos and
  informatics

 Student project inquiries: mol@santaris.com

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Oligoinformatics And Drug Development

  • 1. Therapeutic antagonism of microRNAs Bioinformatics in the development and understanding of oligonucleotide drugs Morten Lindow Group leader, Bioinformatics Santaris Pharma A/S Aalborg University November 2010
  • 2. Most drugs work on proteins
  • 3. CGCUGUGAGGUG Chemically simple GUA 1D …GGGCGACACUCCACCAUGAAU……Fewer cellular compartments ||||||||||||||| Easy to develop regulator translation Chemically diverse 3D Many types of interactions with ligands Diverse cellular compartments Hard to develop regulator
  • 4. Enzyme-directing oligonucleotides ASOs siRNA miRNA RNAseH RISC RISC
  • 5. Designing oligos as RNA regulators Intelligent design Natural selection (oligoinformatics) ASOs siRNAs miRNAs TargetSurveyor.pl Lindow et al., PLoS Comput Biol. 2007 Plant genomes have 7/10 have IC50<5nM >2000 genomic pre-miR Conserved across species structures with Minimal off-targets complementarity to … mRNA. Just waiting for the right niche to show up.
  • 6. CGCUGUGAGGUGGUA ||||||||||||||| CCCCCUGAUGGGGGCGACACUCCACCAUGAAUCACUC • Vast compound libraries • Combinatorial chemistry TargetSurveyor.pl ~2 years ~2 months • High through put screening on Automated oligosynthesis primary target • Specificity screen on related qPCR receptors • Tolerability screen Lead optimization 23 optimized leads 2 in pre-clinical dev 2 in phase 1 1 in phase 2 Clinical development
  • 7. Both Nature and Business make use of oligonucleotides
  • 8. LNA-antimiR – miravirsen - an oligo to regulate an oligo 8 LNA, 7 DNA miravirsen miR-122 RISC Inhibits expression
  • 9. Wienholds et al, Science (2005)
  • 10. Antagonism of miR-122 leads to reduced plasma cholesterol Single i.v. injection of Three i.v. injections of miravirsen miravirsen in mice in African green monkeys Elmen&Lindow et al, Nature 2008 Esau et al, Cell Metab 2006
  • 11. miR-122 and hepatitis C virus HCV is a single stranded RNA virus HCV genome resembles an mRNA 170 million infected worldwide Current treatment often ineffective and with serious side effects 2x miR-122 binding sites in 5‟NTR Viral replication Jopling et al, Science 2005 Elmen&Lindow et al., Nature 2008
  • 12. HCV is the target indication for miravirsen
  • 13. ? Can miravirsen reduce HCV-load in vivo? ? Can HCV mutate to escape miravirsen treatment? ? What is the physiological role of miR-122? ? Does miravirsen have any off-targets?
  • 14. miravirsen reduces HCV in chimpanzees Lanford et al, Science 2010
  • 15. Can HCV mutate to escape miravirsen treatment? Direct-acting small molecule inhibitor LNA-antimiR targeting the host factor of viral RNA polymerase miR-122 Rebound during Rebound 2 weeks after treatment end of treatment Period of treatment Cooper et al, J Hepat, 2009 Lanford et al, Science 2010
  • 16. Deep sequencing of virus from treated animals HCV specific primers to amplify miR-122 binding region 454 deep sequencing 73,000 to 214,000 reads at 4 time points Does frequency of variants change?
  • 17. No evidence of viral escape from miravirsen!
  • 18. Antagonism of miR-122: Effects on gene expression What is the physiological role of miR-122? Are miR-122 targets upregulated after miravirsen treatment? Can this be used as an efficacy endpoint? Is there a non-sequence specific effect of treatment with LNA-oligos? Is there a sequence specific effect of treatmentwith miravirsen? (off-target effect on mRNAs?)
  • 19. Distance between transcriptomes 5 fat mice treated with miravirsen 5 fat mice treated with 2 mismatch control 5 fat mice treated with saline Data from Elmen & Lindow et al, Nature 2008
  • 20. Are miR-122 targets upregulated after miravirsen treatment? miR-122 RISC Inhibits expression On the level of the individual gene only a few targets are significantly upregulated (n=5) and only with about 25%
  • 21. Sequence and expression analysis combined yields a miR-signature Expression analysis Sequence analysis antimiR mRNA changes All ~20 000 genes Control predicted miR-122 targets for each gene: log2(antimiR/control) 0 means no change
  • 22. miR-signature is an efficacy endpoint Null-hypothesis: Are the distributions of background and 14503 predicted targets mRNAs with identical? no site Test: Density two-sided Kolmogorov- Smirnov 879 mRNA with p=6.60E-27 miR-122 site 0 0 Response to miravirsen treatment log2(miravirsen/saline)
  • 23. Microarray data from four different experiments Model Liver Northern Serum cholesterol levels Monkey Normal diet Monkey High-fat diet Mouse Normal diet Mouse High-fat diet
  • 24. On gene level: only little consistency between mice and primates
  • 25. Pathway level changes Unbiased pathway analysis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monkey mouse
  • 27. Cholesterol synthesis enzymes are downregulated across diets and species Hagedorn, et. al, unpublished
  • 29. Off-target effects? miR RISC Yes, the antimiR binds and derepress targets of the miR antimiR Direct effect on (partially) complementary targets?
  • 30. cells or animals treated with oligo or siRNA 1. Calculate fold change in the concentration of each mRNA Untreated or mock treated animals 2. Rank mRNAs by fold change up in treated down in treated 3. Sequence analysis: Mark presence of all „words‟ of length k 4. Test if a word is over/under represented in one end of the ranked list Sylamer, Enright lab, 2009
  • 31. 6 nt words 7 nt words Sites complementary to miR-122 Noise level Sites complementary to oligo Obad et al., Nature Genetics, in press
  • 32. No evidence of direct regulation of mRNAs by LNA-antimiRs!
  • 33. miravirsen is in clinical trials ★Preclinical tox: “SPC3649 (miravirsen) was tolerated at doses that far exceed those intended for human clinical use” ★Phase Ia study completed: Single dose, dose-escalationin healthy volunteers ★Phase Ib completed: Multiple ascending doses in healthy volunteers ★Phase II ongoing: Hepatitis C patients
  • 34. Phase 1a. Dose dependent reduction of plasma cholesterol in humans
  • 35. Summary  Bioinformatics: Sequence analysis facilitates oligonucleotide drug development  Design of specific, potent and tolerable oligonucleotide drugs  Methods for expression data analysis on efficacy and specificity  Systems biology: miR-122 coordinates expression level of cholesterol biosynthesis enzymes  HCV-treatment: Miravirsen appears to be a promising new HCV treatment  First time a microRNA is a drug target  No escape mutants in treated chimpanzees  Awaiting phase II data
  • 36. Acknowledgements Santaris microRNA research group Sakari Kauppinen Susanna Obad Joacim Elmen Santaris Bioinformatics group Andreas Petri Lena Hansson (now Intomics) Elfar Torarinson (sysadm consult) Peter Hagedorn (post doc, now at LEOPharma) Center for biological sequence analysis, DTU Henrik Bjørn Nielsen
  • 37. More…..  mirmaid.org microRNA information for computers, open source API to miR data resources  bio-geeks.com, blog with other geeks about bioinformatics  RNA.dk – homepage for new big project about Enabling RNA Therapeutics  oligoinformatics.org, New. Specialized blog on oligos and informatics  Student project inquiries: mol@santaris.com

Hinweis der Redaktion

  1. Thank you for the invitation to speak to you today. I am going to speak to you about “Bioinformatics in the development and understanding of oligonucleotide drugs”. As far as I know, not many of you work with drug development. However, I think most of you would agree that biology is becoming an information science and that you are working with bioinformatics in one way or another almost every day. Also the usefulness of oligonucleotides should be familiar to all the bioscientists. What I find especially fascinating and powerful is the combination of the three: bioinformatics, drug development and oligonucleotides
  2. Working with dyes at the German chemical company IG Farben, Paul Ehrlich in 1872, introduced the concept of a chemoreceptor. A molecule that specifically binds to one of his chemicals.For more than 100 years, drug development – very primitive at first, now highly sophisticated – has focused on proteins as targets. Finding the right regulator of a protein has mainly been a process of trial and error. This picture show aspirin in its binding pocket of the dimeric cox-enzyme. Looking at that spaghetti, I don’t think it is strange that trial and error have been the main road forward for finding molecules that can bind and regulate proteins, Also computationally this is an extremely difficult problem.
  3. However, there are alternatives. Proteins are translated from RNA. RNA is chemically and structurally simpler. Even a 1D representation of RNA is very useful for finding ligands.. Simply by basepairing. Moreover contrary to proteins, most RNA are present in the same subcellular compartments. Therefore regulation on RNA level is more generic approach. The same class of molecules can be used for most RNAs. I am of course talking about oligonucleotides
  4. Some oligonucleotides are especially interesting…..miRNA….. siRNA….. ASOs…explain gapmers and RNAseH mechanism
  5. There are many miOneoligo to find themOne oligo to bind themAnd in complex forever blind them
  6. On their a one experiment/one gene basisonly 2 of these were significant with the number of replicates we got. However, by integrating pathway information and biological knowledge, suddenly it becomes clear – and statistically significant – that these many small changes work in a coordinated to downregulate cholesterol biosynthesis. Explain figure….