Outlines and exemplified how bioinformatics is particularily well to facilitate the discovery of oligonucleotide drugs.
One hour talk I gave a Aalborg University in 2010.
Antisense RNA Technology for crop improvement.pptx
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
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
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
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
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?
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?
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
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
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
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.
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
Some oligonucleotides are especially interesting…..miRNA….. siRNA….. ASOs…explain gapmers and RNAseH mechanism
There are many miOneoligo to find themOne oligo to bind themAnd in complex forever blind them
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….