exploiting crispr-cas nucleases to produce sequence ... · • florence depardieu • lun cui •...
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Exploiting CRISPR-Cas nucleases to produce sequence-specific
antimicrobials
David Bikard
Synthetic Biology Group
13/12/2016
The CRISPR adaptive immune system
Clustered Regularly Interspaced Short Palindromic Repeats
S. pyogenes CRISPR02
tracrRNA
Deltcheva & al., Nature 2011Jinek & al., Science 2012
CRISPR as a biotechnological tool
Homologous Recombination
NHEJ
Small indels
Point mutationGene insertion
etc.
No repair
Cell death
Cas9
NHEJ = Non-Homologous End Joining
• S. pneumoniae (Jiang, Bikard et al, 2013, Nat. Biotechnol.)
• E. coli (Jiang, Bikard et al, 2013, Nature Biotechnol.)
• Human cells (Le Cong et al., 2013, Science)
• Monkeys (Niu et al., 2014, Cell)
• Livestocks (Tan et al., 2013, PNAS)
• Mice (Wang et al., 2013, Cell)
• Frogs (Blitz et al. and Nakayama et al., 2013, Genetics)
• Zebrafish (Hwang et al., 2013, Nature Biotechnol.)
• Insects (Wang et al., 2013, Cell. Res.)
• Plants (Li et al. , Shan et al., 2013, Nature Biotechnol.):
• Flies (Gratz et al., 2013, Genetics)
• Nematodes (Lo et al., 2013, Genetics)
• Yeast (DiCarlo et al., 2013, NAR)
Genome Editing
Homologous Recombination
NHEJ
Small indels
Point mutationGene insertion
etc.
No repair
Cell death
Cas9
CRISPR as a biotechnological tool
Sequence-specific killing of S. aureus
pDB114
Bikard & al., Nat Biotech, 2014
Plasmid transduction
Sequence specific killing
Bikard & al., Nat Biotech, 2014
0
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0.4
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1
1.2
1.4
1.6
1.8
0 200 400 600 800 1000
KanR
KanS
Competition with non-targeted strain
OD
(6
00
nm
)
GFP
Time (min)
Bikard & al., Nat Biotech, 2014
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1.6
1.8
0 200 400 600 800 1000
KanR
KanS
Competition with non-targeted strain
OD
(6
00
nm
)
GFP
Time (min)
Bikard & al., Nat Biotech, 2014
0
5000
10000
15000
20000
25000
30000
35000
40000
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0 200 400 600 800 1000
KanR
KanS
Competition with non-targeted strain
OD
(6
00
nm
)
GFP
Time (min)
Bikard & al., Nat Biotech, 2014
0
5000
10000
15000
20000
25000
30000
35000
40000
0
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
0 200 400 600 800 1000
KanR
KanS
Competition with non-targeted strain
OD
(6
00
nm
)
GFP
Time (min)
Bikard & al., Nat Biotech, 2014
Sequence specific killing of MRSA (USA300) in a mixed population
Spacer
Cm
Selection
OxaØ
mecA
Ø
Ø
mecA
Ø
mecA
10-2 10-3 10-4
Dilution
10-1100
Plasmid curing in USA300
100
101
102
103
104
105
Ø 1 2 1+2
Ø
Cm
Tet
pUSATarget:
Selection
CF
U/u
l
pUSA01
1 2 3 4 5 6 7 8
pUSA02
C
- 0.5kb
- 1kb
- 0.5kb
- 1kb
Strain immunization
Mice experiments
Chad Euler, RockefellerVince Fischetti, Rockefeller
5’ 3’
5’3’
RuvC
HNH
20nt
*
*
Catalytically dead Cas9 (dCas9)
dCas9-mediated repression
Qi et al, Cell. 2013
Bikard* , Jiang* & al., NAR, 2013
Inhibition of
transcription
initiation
Inhibition of
transcription
elongation
Qi et al, Cell. 2013
Bikard* , Jiang* & al., NAR, 2013
dCas9-mediated repression
dCas9-mediated activation
Bikard* , Jiang* & al., NAR, 2013
dCas9-mediated activation
23 fold
7 fold
Bikard* , Jiang* & al., NAR, 2013
dCas9-mediated activation
• Library construction through on-chip oligo synthesis and cloning
• Perform functional screen
Sub-inhibitory antibiotic Abiotic stresses
Query gene knockout / overexpression…
• Infer the fitness of each knockout by measuring changes in the proportion of guide RNAs in the library
CRISPR screens
Before the experiment Before the experiment
Aft
er
the
exp
eri
me
nt
Aft
er
the
exp
eri
men
t
No induction + aTc
High throughput dCas9 screens
Before the experiment Before the experiment
Aft
er
the
exp
eri
me
nt
Aft
er
the
exp
eri
men
t
No induction + aTc
Depletion of gRNA targeting essential genes
murA
Target on the template strand Target on the coding strand
The Synthetic Biology Group
Team• Florence Depardieu • Lun Cui • Gayetri Ramachandran • Aude Bernheim• Belen Gutierrez-Soriano• Antoine Vigouroux• Alicia Calvo Villamanan
Collaborations• Luciano Marraffini, Rockefeller• T. Lu, MIT• E. Rocha, Institut Pasteur• D. Mazel, Institut Pasteur• S. van Teeffelen, Institut Pasteur• Bruno Dupuy, Institut Pasteur• Paul Planet, Columbia University• Pamela Schnupff, Institut Imagine
Funding
LabEx IBEID
How many phagemids to kill a cell?
What happens to survivors ?
- Some cells are less likely to receive phagemids than others ?
- The phagemid is lost through segregation before it kills the cells ?
- Cells receive a defective CRISPR system ?
- Mutation at the target sequence
Bikard & al., Nat Biotech, 2014
Escapers
Out of 8 surviving colonies:- 6 are sensitive to ChloramphenicolThey either lost the phagemid or did not receive it- 2 received a defective Cas9
All are still sensitive to the treatment The target is still intact
Future directions
• How are DNA breaks introduced by CRISPR processed in bacteria ?
Lun Cui
Future directions
• How are DNA breaks introduced by CRISPR processed in bacteria ?
Lun Cui
SOS response Large deletions
• Can DNA repair interfere with CRISPR immunity?
Future directions
Aude Bernheim
Palmer, K. L., & Gilmore, M. S. (2010). mBio, 1(4)
Enterococci with CRISPR accumulate less antibiotic resistances
What could explain the apparent lack of trade-off?
• Mobility of CRISPR-Cas systems
• CRISPR might actually most beneficial in organisms undergoing high HGT rates
• Transcription dependent interference
• Spacer acquisition is not random (priming)
Telltale marks of CRISPR
inactivation in available genomes
Characterization of the PAM sequence
Jiang*, Bikard* & al., Nat. Biotech., 2013
CRISPR+
CRISPR-
Transformation
Bad PAM motifs
Everything
Target NNNNN
Library of randomized PAM sequences
PAM requirements
A AAA 1.02 ACA 1.06 AGA 0.95 ATA 1.02
C CAA 1.03 CCA 1.03 CGA 0.97 CTA 1.00
G GAA 1.10 GCA 1.09 GGA 0.93 GTA 1.01
T TAA 1.02 TCA 1.11 TGA 0.91 TTA 1.11
A AAC 1.07 ACC 1.02 AGC 1.00 ATC 1.09
C CAC 1.06 CCC 1.04 CGC 1.00 CTC 1.09
G GAC 1.05 GCC 1.02 GGC 1.02 GTC 1.22
T TAC 1.06 TCC 1.05 TGC 1.03 TTC 1.06
A AAG 0.49 ACG 0.97 AGG 0.06 ATG 0.96
C CAG 0.78 CCG 1.08 CGG 0.06 CTG 1.03
G GAG 0.50 GCG 1.00 GGG 0.06 GTG 1.20
T TAG 0.86 TCG 0.91 TGG 0.07 TTG 1.06
A AAT 1.01 ACT 1.09 AGT 1.04 ATT 1.03
C CAT 1.03 CCT 1.03 CGT 1.07 CTT 1.08
G GAT 1.04 GCT 1.08 GGT 1.08 GTT 1.12
T TAT 1.06 TCT 1.03 TGT 1.06 TTT 1.01
1st P
AM
po
sitio
n 3rd P
AM
po
sitio
n
A
C
G
T
2nd PAM position
A C G T
R=N° of reads after transformation in CRISPR+ strain
N° of reads after transformation in control strain
Jiang*, Bikard* & al., Nat. Biotech., 2013
Target requirements
Jiang*, Bikard* & al., Nat. Biotech., 2013
Adaptation against phage challenge
PAM motif
Heler & al., Nature 2015
Cas9 specifies functional viral targets
Swapped Cas9
Heler & al., Nature 2015