Vaccine Development in the Context of Synthetic Biology Principles Opportunities and Challenges in the Emerging Field of Synthetic Biology Washington, DC July 9 th 2009 Frank Notka , GENEART Ralf Wagner, GENEART, University of Regensburg
Vaccine Development in the Context of Synthetic Biology Principles
Opportunities and Challenges in the Emerging Field of Synthetic Biology
Washington, DC July 9th 2009Frank Notka, GENEARTRalf Wagner, GENEART, University of Regensburg
Overview
How to build a novel system?
Construction Cycle
Specification of parts, devices, systems…
Design circuits
Modeling in silico
Implementationin vivo / chassis
Testing „-omics“
Knowledge based
2
constitutive nc export
syn-gag
CRM1ran
REV
RRE
degradation
wt - gag
cis activerepressor sequenzes
UTR
SDREV
RRE
splicingmachinery
?
2
3
1
wt-gag
- - - - + + + +Rev
syng
ag-R
REUT
R-wtg
ag-R
RE
wtgag
-RRE
UTR-
wtgag
-RRE
gag
C C C CN N NN
actin
Northern
Knowledge: Understanding Regulation of ExpressionLentiviral Gene Expression: HIV-GAG
Knowledge
Specification
Design
testing
Modeling
Implementation
Graf et al., 1998
Specification: Integrated Vaccine Strategies
immunogen designmolecular virology
basic immunology / micepreclinic / rhesus macaques
clinic / phase 1/2
• envelope proteins: Env• structural proteins: Gag, Pol• regulatory proteins: Tat, Rev, Nef• accessory proteins: Vpr
Targets of immune response
+ +
Peptides DNA Viral Vectors
Bacterial Vectors
Pseudovirions
Novel Adjuvants (CpG, PEI, MF59)Proteins
Delivery / Combination of Multivalent HIV/AIDS Vaccine Strategies
?
rAd, NYVAC
Bojak, et al., 2002
• neutralizing AB • mucosal immunity• CD4+ T cell response• CD8+ CTLs• broad, cross clade, • high quality, polyfunctional• long term memory
Immune response
• A (Africa) • B (Europe, N & S-America)• C (Asia, Africa …)• E (Asia)• F (Africa)• G (South America, Africa)
HIV Clades
Knowledge
Specification
Design
testing
Modeling
Implementation
Design: Function – Safety - Efficacy
Sequence analysis of C (CN54)
Su et al., 2000
LTRLTR
gagpol
vif
vpr
vpuenv
rev
tat
tev
nef
gag (myr)
5' pol (RT)
3’nef
5’nef
3' pol (IN)
RT as
Harari et al., 2008
Rational Antigen Design
Knowledge
Specification
Design
testing
Modeling
Implementation
Modeling: Gene Analysis & Optimization
In silico multi-parameter sequence analysis and optimization
Sliding window approach (Gene Optimizer™)
Knowledge
Specification
Design
testing
Modeling
Implementation
Clade Delivery Developer / Manufacturer
GagPolNef C (CN54) DNA-C UREG / CobraEnv C (CN54) DNA-C UREG CobraGagPolNef / Env C (CN54) NYVAC-C Sanofi PasteurGagPolNef / Env C (CN54) MVA-C Esteban GagPolNef / Env C (CN54) vTT-C Y. Shao / S-CDCGagPolNef / Env B NYVAC-B Sanofi PasteurGagPolNef / Env B MVA-B Esteban
Implementation: Gene Synthesis & Vector Production
Oligo/Fragment
DesignGene SynthesisFragment Construction
QC Gen Assembly
Oligosynthesis
Laboratory Information Management System
Gene synthesis process
“Chassis” Production
Knowledge
Specification
Design
testing
Modeling
Implementation
Testing: Clinical trial EV02
Higher percentage of responders in DNA-C prime / NYVAC-C boost group (>90%)compared to NYVAC-C group (<40%)
Durability DNA-C / NYVAC-C >> NYVAC-C
A. Harrari, G.Pantaleo et al.
0
20
40
60
80
100
Perc
enta
ge o
f res
pond
er
NYVAC CAlone
DNA C + NYVAC C
P = 0.003
Percentage of Responders (gIFN+ T cells) Study design: 2 x 20 HIV negative volunteersLondon and Lausanne
0
20
40
60
80
100
W0 W5 W20 W24 W26 W28 W48
Perc
enta
ge o
f res
pond
ers DNA C + NYVAC C
NYVAC C alone
P < 0.001P = 0.019
P = 0.001P < 0.001
DNA-C NYVAC-C
NYVAC NYVACDNA DNAKnowledge
Specification
Design
testing
Modeling
Implementation
Implications
What is new?
Construction Cycle
Specification of parts, devices, systems…
Design
Modeling in silico
Implementationin vivo / chassis
Testing „-omics“
Knowledge based
0
20
40
60
80
100