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November 16, 2016
CRISPR: what it is, and why it
is having a profound impact on
human health
A Pistoia Alliance Debates Webinar
Chaired by Alvis Brazma – EMBL-EBI
This webinar is being recorded
Poll Question 1: How would you rate your
personal knowledge of CRISPR?
A. I’m an expert
B. I have used CRISPR
C. I’ve heard of it
D. I know next to nothing about it
©PistoiaAlliance
The Panel
4
Patrick Harrison, Senior Lecturer Physiology, University College of Cork
The focus of Dr Harrison’s lab is the development gene editing for treatment of rare diseases. His early work in this field
pioneered the use of ZFNs and CRISPR to successfully repair the most common CF-causing mutation, F508del, in cell
culture. The current focus extends the work to correct CF mutations of the deep intron theratype in primary cells, stem
cells and animal models. Dr. Harrison is a principal investigator in the CF Trust’s Gene Editing Strategic Research Centre,
and has additional grant funding from the CF Foundation (USA), with collaborations across Europe, USA and New Zealand.
He is also using CRISPR editing to model skin disorders such as atopic dermatitis and Epidermolysis Bullosa.
Alvis Brazma, Senior Team Leader of Functional Genomics, EMBL-EBI
Dr Alvis Brazma is a Senior Scientist at the European Molecular Biology Laboratory (EMBL) and leading a group on gene
expression at the European Bioinformatics Institute (EMBL-EBI). He studied mathematics at the University of Latvia, Riga,
before obtaining his PhD in computer science from the Moscow State University. In 1997 he joined the EMBL and in 1999
was among the first scientists to use microarray data to study gene regulation. In 1999 he founded the Microarray Gene
Expression Data society and started a microarray database ArrayExpress. Now he is in charge of several major EBI
resources, including ArrayExpress, Expression Atlas, and BioStudies database. He is co-leading the working group on data
integration for Pan-cancer Whole Genome project of the International Cancer Genome Consortium.
Mike Ollmann, Principal Scientist, Amgen
Dr. Ollmann’s work focuses on use of somatic cell genetics techniques, particularly CRISPR/Cas9 and RNAi, for early stage
drug discovery. Dr. Ollmann obtained his Ph.D. in Genetics with Dr. Greg Barsh at Stanford University, prior to joining
Exelixis Inc., where his work included early use of RNAi in Drosophila and mammalian cells for target identification and
validation. He joined Amgen in 2011 and is a Principal Scientist in the Genome Analysis Unit based in South San Francisco.
Anna Middleton, Head of Society & Ethics Research Wellcome Genome
Campus
November 16, 2016 CRISPR
Dr Anna Middleton is a social scientist, continually asking ‘how are people responding to genomics?’ Her PhD is in
psychology and she is also a trained genetic counsellor, having worked in the NHS for 10 years with patients exploring the
impact of genetics on themselves and their families. She runs the Society and Ethics Research Group at the Wellcome
Genome Campus in Cambridge and delivers research that explore the social and ethical impact of new genomic
technologies.
©PistoiaAlliance
Agenda
5
• CRISPR – Cas9 Gene Editing(PH)
• Accelerating science (MO)
• The informatics challenge (AB)
• Cystic Fibrosis - the case for gene-editing (PH)
• Ethics and CRISPR (slides from AM; presented
by PH)
5November 16, 2016 CRISPR
CRISPR – Cas9 Gene Editing
Why How What
Patrick Harrison, PhD – University College Cork, Ireland
Val His Leu Thr Pro Glu Glu Lys Ser Asp
November 16, 2016 CRISPR 7
Val His Leu Thr Pro Val Glu Lys Ser Asp
Target
DNA
November 16, 2016 CRISPR 8
Thr Pro Glu Glu Lys
Val His Leu Thr Pro Val Glu Lys Ser Asp
Target
DNA
Donor
DNA
November 16, 2016 CRISPR 9
Target
DNA
Donor
DNA
Clustered Regularly Interspaced Short Palindromic Repeats
Cas9
guide RNA
November 16, 2016 CRISPR 10
Target
DNA
Donor
DNA
Cas9
guide RNA
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 11
Target
DNA
Donor
DNA
Cas9
guide RNA
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 12
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 13
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 14
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 15
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 16
Cut Resect Incorporate Seal Precision Repair
November 16, 2016 CRISPR 17
Thr Pro Glu Glu Lys
Val His Leu Thr Pro Glu Glu Lys Ser Asp
Cut Resect Incorporate Seal Precision Repair
HDR
Homology-directed repair
November 16, 2016 CRISPR 18
Target
DNA
Cas9
guide RNA
November 16, 2016 CRISPR 19
November 16, 2016 CRISPR 20
November 16, 2016 CRISPR 21
Val His Leu Thr Pro Gly Glu Val STOP
NHEJ
Non-homologous
end joining
In-frame STOP codon
= gene knock-out
November 16, 2016 22CRISPR
Cas9
(2013)
gRNA
Why has Cas9/gRNA surpassed ZFNs and TALENs?
ZFNs
(1996)
TALENs
(2011)
Standing on the
shoulders of giants
November 16, 2016 23CRISPR
Cas9/guideRNA
Design and synthesis (2013)
November 16, 2016 CRISPR 24
||||||||||||||||||||
5’ GUCACCUCCAAUCAGUAGGG 3'
gRNA
Cas9/guideRNA
Design and synthesis (2013)
November 16, 2016 CRISPR 25
||||||||||||||||||||
5’ GUCACCUCCAAUCAGUAGGGGUUUUAGAGCUAG
.|||||. ||||
GUUCAACUAUUGCCUGAUCGGAAUAAAAUU CGAUA
|||| GAA
AAAGUGGCACCGA
.|||||||G
3’ UUUUUUCGUGGCU
A
A
A
A
gRNA
Cas9/guideRNA
Design and synthesis (2013)
November 16, 2016 CRISPR 26
||||||||||||||||||||
5’ GUCACCUCCAAUCAGUAGGGGUUUUAGAGCUAG
.|||||. ||||
GUUCAACUAUUGCCUGAUCGGAAUAAAAUU CGAUA
|||| GAA
AAAGUGGCACCGA
.|||||||G
3’ UUUUUUCGUGGCU
A
A
A
A
Cas9
DSB
gRNA
Cas9/guideRNA
Design and synthesis (2013)
November 16, 2016 CRISPR 27
Double Stranded Break
Two options
NHEJ
• High efficiency KO
• All cell types
• KO in any animal
• Clinical Editing
HDR
• Low efficiency Precision
Repair
• Dividing cells only
• Multiple corrections in vivo
November 16, 2016 CRISPR 28
GFP
transgenic
rat
~40% Knock Outs
CRISPR 2016
Mice
Rats
Cows
Sheep
Rabbits
Monkeys
Zebrafish
Human Embryos
(14-day limit)
Transfer KO eggs
to surrogate
Pronuclei
Germline Editing
Inject Nuclease into Fertilised Eggs
Yang 2009
November 16, 2016 CRISPR 29
F.IX gene
variant
1 2 3 4
Pre-clinical in vivo editing – haemophilia B
i.v. inject nuclease and donor
Li 2011
November 16, 2016 CRISPR 30
F.IX gene
variant
1 2 3 4
Pre-clinical in vivo editing – haemophilia B
i.v. inject nuclease and donor
Li 2011
November 16, 2016 CRISPR 31
F.IX gene
variant
1 2 3 4
Pre-clinical in vivo editing – haemophilia B
i.v. inject nuclease and donor
Li 2011
November 16, 2016 CRISPR 32
F.IX gene
variant
Super-exon
Donor
1 2 3 4
2 3 4
F.IX gene
wild-type
1 2 3 42 3 4
Li 2011
November 16, 2016 CRISPR 33
Gene Editing
= Permanent
cDNA addition
= Transient
Li 2011
November 16, 2016 CRISPR 34
Gene Editing
= Permanent
cDNA addition
= Transient
Li 2011
November 16, 2016 CRISPR 35
Gene Editing
= Permanent
cDNA addition
= Transient
Li 2011
Li 2011
November 16, 2016 CRISPR 36
100 to 1,000-fold
reduction in viral
load
Control
Tebas 2014
Patient #1
ZFNs delete CCR5
November 16, 2016 CRISPR 37
Acute Lymphoid Leukaemia
Modified Patient T cells
CAR targets CD19
TALENs delete TCR
(avoids rejection)
2015 Patient #2
TALENs enable CAR-T cells
November 16, 2016 CRISPR 38
CRISPR – Cas9 Gene Editing
Interim Summary
• Cas9/gRNA creates DNA breaks
• HDR – precision repair @ low efficiency
• NHEJ – targeted deletions @ high efficiency
• Gene-edited cells already used in patients
• CRISPR clinical trials – 2017/18?
November 16, 2016 CRISPR 39
Poll Question 2: Does your company have
an active CRISPR research/informatics
effort underway?
A. Actively using CRISPR
B. Exploring use of CRISPR
C. Not currently using CRISPR
D. I don’t know
Accelerating science
Mike Ollmann - Amgen
©PistoiaAlliance
Drug Discovery at Amgen
Target discovery & validation driven by human genetics
November 16, 2016 CRISPR 42
©PistoiaAlliance
Gene Knockout & Editing by CRISPR/Cas9
Figure from ThermoFisher
November 16, 2016 CRISPR 43
©PistoiaAlliance
Rapid Gene Knockout by Delivery of
Cas9/sgRNA Ribonucleoprotein complex
Liang et al, J Biotech, 2015
102 103 104 105
200
150
100
50
Flow cytometry to quantify target
protein levels 4 days after
electroporation of Cas9/sgRNA complex
Control cells - no sgRNA
Cells+Cas9/target sgRNA
Target protein expression levelCellcount
November 16, 2016 CRISPR 44
©PistoiaAlliance
Rapid Gene Knockout by Delivery of
Cas9/sgRNA Ribonucleoprotein complex
Not-so-rapid clonal isolation
of edited cells
Ran et al, Nature Protocols, 2013
Liang et al, J Biotech, 2015
November 16, 2016 CRISPR 45
©PistoiaAlliance
Pooled Lentiviral sgRNA Libraries for
Genome-scale Gene Knockout Screening
Figure adapted from Hartenian
& Doench, FEBS, 2015
November 16, 2016 CRISPR 46
©PistoiaAlliance
Beyond Gene Knockout: Alternative
Cas9-mediated Screening Methods
Sanjana, Analytical Biochem., 2016
47November 16, 2016 CRISPR
Poll Question 3: Which is more important to
your research?
A. Precision editing by homology-directed
recombination (HDR)
B. Targeted knock-out/deletion by non-
homologous end-joining (NHEJ)
C. Don’t use CRISPR
The informatics challenge
From predicting the target sites to assessing the effects
Alvis Brazma – EMBL-EBI
©PistoiaAlliance
Why bioinformatics?
• Doing things in silico saves time and resources
• Some examples of what can be done
– Finding the target – a gene or locus of interest in the
genome
– Finding where to cut the genome near the target
November 16, 2016 CRISPR 50
©PistoiaAlliance
Cas9 nuclease is guided to the genome
position by 20 nt short guide RNA (sgRNA)
sequence
From Sander & Joung, Nature Biotech. 32, 247
The guide sequence
November 16, 2016 CRISPR 51
©PistoiaAlliance
Selecting the sgRNA sequence
Genome
Gene of interest
20 nt sequence
Most similar
sequence off
target
Target sequence
- perfect match
Most similar
sequence off
target
TCC
November 16, 2016 CRISPR 52
©PistoiaAlliance
Selecting the sgRNA sequence
Genome
Gene of interest
20 nt sequence
Most similar
sequence off
target
Most similar
sequence off
target
Target sequence
- perfect match
TCC TCC
November 16, 2016 CRISPR 53
©PistoiaAlliance
Annotated CRISPR/Cas9 target sites in
Ensembl genome browser at European
Bioinformatics Institute
Anna Farne, Mark Thomas, David Parry-Smith
November 16, 2016 CRISPR 54November 16, 2016 CRISPR 54
©PistoiaAlliance
What can bioinformatics do for CRISPR?
• Tools for predicting
and assessing the
short guide RNA
(sgRNA)
– Purely sequence
based methods
– Methods utilizing the
growing experimental
evidence
• Collecting the
successes and failures
of sgRNA sequences
• Using machine learning
to interpolate these
• Tools for assessing
and interpreting the
editing results
– Using and analyzing
direct effects based on
RNA sequencing
– Assessing further
downstream effects,
such as systematic
gene knockouts in cell
lines
November 16, 2016 CRISPR 55
©PistoiaAlliance
CRISPR activities at EMBL-EBI in
collaboration with the Wellcome Trust
Sanger Institute
• Computational annotation of sgRNA binding
sites
• (Planned) Curated database of experimental
results
– Experimentally validated sgRNA binding sites
– Knockout screen results
• Gene essentiality in various cell lines
November 16, 2016 CRISPR 56
Cystic Fibrosis
The Case for Gene Editing
Patrick Harrison, Ph.D. – University College Cork, Ireland
58November 16, 2016 CRISPR
Cl-
Cl-
HCO3
-
HCO3
-
Airway hydrationNeutral pH
Normal Lung
CFTR anion channel
Cilia beating
H2O H2O
59November 16, 2016 CRISPR
Cilia beating
CF Lung
Mutations in CFTR gene
collapsed
Cl-
Cl-
HCO3
-
HCO3
-
H2O H2O
Cilia collapsed
60November 16, 2016 CRISPR
Class III
No conductance
Class II
Reduced Trafficking
Class I
No protein
CF – Personalised Medicine
4,000 people 92,000 people 4,000 people
61November 16, 2016 CRISPR
Absolutechangein%
ofpredictedFEV1
Ramsay 2011
Nick Talbot
Class III
No conductance
4,000 people
62November 16, 2016 CRISPR
Absolutechangein%
ofpredictedFEV1
.
Wainwright 2015
Orkambi (dose A)
Orkambi (dose B)
Placebo
BA
Class II
Reduced Trafficking
92,000 people
63November 16, 2016 CRISPR
Absolutechangein%
ofpredictedFEV1
cDNA
Placebo
Alton 2015
Multi-dose
CFTR cDNA is
safe
Class I
No protein
4,000 people
64
Genome F508del
5'
3'
3’
5'
Donor CTT
3'
5'
5'
3'
CTT
GAA
---
---
Lee 2012
November 16, 2016 CRISPR
65
Genome F508del
5'
3'
3’
5'
Donor CTT
3'
5'
5'
3'
CTT
GAA
---
---
Lee 2012
November 16, 2016 CRISPR
66
Genome F508del
5'
3'
3’
5'
NGG
Donor CTT
3'
5'
5'
3'
CTT
GAA
---
---
Schwank 2013
November 16, 2016 CRISPR
67
5'
3'
3’
5'
3'
5'
5'
3'
CTT
GAA
Genome F508del
Donor CTT
November 16, 2016 CRISPR
68
5'
3'
3’
5'
3'
5'
5'
3' GAA
CTT
Genome F508del
Donor CTT
November 16, 2016 CRISPR
69
5'
3'
3’
5'
3'
5'
5'
3' GAA
CTT
Genome F508del
Donor CTT
November 16, 2016 CRISPR
70
5'
3'
3’
5'
3'
5'
5'
3' GAA
CTT
CTT
Genome F508del
Donor CTT
November 16, 2016 CRISPR
71
5'
3'
3’
5'
3'
5'
5'
3' GAA
CTT
CTT
GAA
CTT
Genome F508del
Donor CTT
November 16, 2016 CRISPR
72
Editing restores function
Stem Cell Organoids
WT F508del F508del edited
November 16,
2016
CRISPR
Schwank 2013
72
73
WT F508del F508del edited
Editing restores function
Stem Cell Organoids
November 16,
2016
CRISPR
Schwank 2013
73
74
WT F508del F508del edited
Editing restores function
Stem Cell Organoids
November 16,
2016
CRISPR
Schwank 2013
74
75
Schwank 2013
WT F508del F508del edited
Editing restores function
Stem Cell Organoids
November 16,
2016
CRISPR
75
76
HDR
restores
CFTR
<1%
Select &
enrich
NHEJ
>50%
KO
How can
KO fix CF?
76
November 16, 2016 CRISPR
77
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
CRISPR KO – 40% of Class I (and IV) mutations
Deep intron Mutations
3272 -26A>G
(n = 463)
3849 +10kb C>T
(n = 1,143)
* * *
1811+1.6kb A>G
(n = 71)
77
November 16, 2016 CRISPR
78
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
3849 +10kb C>T
(n = 1,143)
*
WT GTEx 22 AG GC AG Ex 23
November 16, 2016 CRISPR
79
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
3849 +10kb C>T
(n = 1,143)
*
WT GTEx 22 AG GT AG Ex 23
79
November 16, 2016 CRISPR
80
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
3849 +10kb C>T
(n = 1,143)
*
WT GTEx 22 AG GT AG Ex 23pseudo
Exon
TAA
80
CRISPRNovember 16, 2016
81
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
3849 +10kb C>T
(n = 1,143)
*
GWT GTEx 22 GT AG Ex 23pseudo
Exon
TAA
Delete 25 to 150 bp
3849 +10kb C>T
(n = 1,143)
A
81
November 16, 2016 CRISPR
82
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 26 2724 25
3’5'
WT GTEx 22 AG Ex 23
82
November 16, 2016 CRISPR
83
November 16,
2016
CRISPR
One for All
CFTR super-exons
83
84
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
84
November 16, 2016 CRISPR
85
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
Bednarski 2016
CFTR Exons 11-27
85
November 16, 2016 CRISPR
86
CFTR Exons 11-27
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
Bednarski 2016
86
November 16, 2016 CRISPR
87
CFTR Exons 11-27
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
3’5'
Bednarski 2016
87
November 16, 2016 CRISPR
88
CFTR Exons 11-27
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
5'
CFTR Exons 11-27
CFTR Exons 11-27
3’
Bednarski 2016
88
November 16, 2016 CRISPR
89
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25
5' CFTR Exons 11-27
CFTR Exons 11-27
CFTR Exons 11-27
AAAA
3’
Unedited
Super-exon
Bednarski 2016
November 16, 2016 CRISPR
89
November 16, 2016 CRISPR 90
Cystic Fibrosis – Cas9 Gene Editing
Interim Summary
• HDR – precise but inefficient
• NHEJ – efficient but only 2% of individuals
• HDR superexon – all mutations but inefficient
• NHEJ superexon – TBC
Cystic Fibrosis
The Case for Gene Editing
Patrick Harrison, Ph.D. – University College Cork, Ireland
Dr Anna Middleton
Head of Society and Ethics Research
Wellcome Genome Campus
Cambridge, UK
November 16, 2016 CRISPR 92
The most discussed ethics…
• The most controversial aspect of CRISPR is the
potential use in editing gametes or embryos
• It is illegal to edit a human embryo with the aim of
implanting it to achieve a pregnancy
• However, it is acceptable (e.g. in the UK, under
license) to do research using CRISPR on embryos up
to 14 days of age
November 16, 2016 CRISPR 93
Public Debate pivotal
• Public debate about ‘designer babies’, eugenics and
the ‘slippery slope’ in the application of genetic
technology has been happening for the last 40 years
• However, now is the time to consider, what is socially
acceptable in terms of research on embryos
• If parents consent for research to happen on their
discarded ’IVF’ embryos (that will never result in a
pregnancy), does this mean it is socially acceptable to
do?
November 16, 2016 CRISPR 94
The Debate so far…
• Should all research on embryos be banned?
• We live in a society where research on embryos up to
the 14 day point is acceptable (and is being done)
• CRISPR research should form part of this picture
• If there is a moratorium on editing embryos in a
research setting, this will push the research
underground and out of public scrutiny
• Research needs to be publicly funded on editing, in
order to maintain safe regulation
November 16, 2016 CRISPR 95
Help the debate…
• There are concerns that ethical debates about embryo
editing will negatively affect research on somatic cells
• we mustn’t let discussion about embryos dominate
the public debate
• We need to avoid the unhelpful ‘slippery slope’
arguments and consider the evolution of editing on a
case by case basis
November 16, 2016 CRISPR 96
Policy is on its way…
• A policy statement from the American Society of
Human Genetics on ‘Germline Gene Editing’ will be
issued shortly – has contribution from British, Canadian
and USA genetic counsellors
November 16, 2016 CRISPR 97
Audience Q&A
Please use the Question function in GoToWebinar
©PistoiaAlliance
Other CRISPR events and resources
• Pistoia Alliance member Benchling is hosting a
panel discussion: Engineering the Future:
Opportunities and Applications of CRISPR
Wednesday November 30th 5:30-7:30pm PST
Rock Health, 455 Mission Bay Boulevard, South #124, San Francisco, CA
94158 (more information at
https://www.eventbrite.com/e/engineering-the-future-opportunities-
and-applications-of-crispr-tickets-28795197210):
• Pistoia Alliance member Merck KGaA (Millipore
Sigma/SigmaAldrich) has series of technical
webinars and other videos available
http://www.sigmaaldrich.com/video/life-science/crispr-webinars.html
• Others?
©PistoiaAlliance
To address question posed by attendee re: tools
CRISPR 100November 16, 2016
• <Alvis Brazma> The two widely used tools for
CRISPR/Cas9 design that I would recommend
are:
– GPP Web Portal at the Broad Institute -
http://portals.broadinstitute.org/gpp/public/analysis-
tools/sgrna-design
– CRISPRseek Bioconductor package
http://bioconductor.org/packages/release/bioc/html/C
RISPRseek.html
• <Patrick Harrison> Recommended the following
site for additional CRISPR resources:
– https://www.addgene.org/crispr
IDMP: Overview and collaboration
opportunities
The next Pistoia Alliance Discussion Webinar:
Moderator: Gerhard Noelken
Date: January 2017
check http://www.pistoiaalliance.org/events/ for the latest information
info@pistoiaalliance.org @pistoiaalliance www.pistoiaalliance.org

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CRISPR: what it is, and why it is having a profound impact on human health

  • 1. November 16, 2016 CRISPR: what it is, and why it is having a profound impact on human health A Pistoia Alliance Debates Webinar Chaired by Alvis Brazma – EMBL-EBI
  • 2. This webinar is being recorded
  • 3. Poll Question 1: How would you rate your personal knowledge of CRISPR? A. I’m an expert B. I have used CRISPR C. I’ve heard of it D. I know next to nothing about it
  • 4. ©PistoiaAlliance The Panel 4 Patrick Harrison, Senior Lecturer Physiology, University College of Cork The focus of Dr Harrison’s lab is the development gene editing for treatment of rare diseases. His early work in this field pioneered the use of ZFNs and CRISPR to successfully repair the most common CF-causing mutation, F508del, in cell culture. The current focus extends the work to correct CF mutations of the deep intron theratype in primary cells, stem cells and animal models. Dr. Harrison is a principal investigator in the CF Trust’s Gene Editing Strategic Research Centre, and has additional grant funding from the CF Foundation (USA), with collaborations across Europe, USA and New Zealand. He is also using CRISPR editing to model skin disorders such as atopic dermatitis and Epidermolysis Bullosa. Alvis Brazma, Senior Team Leader of Functional Genomics, EMBL-EBI Dr Alvis Brazma is a Senior Scientist at the European Molecular Biology Laboratory (EMBL) and leading a group on gene expression at the European Bioinformatics Institute (EMBL-EBI). He studied mathematics at the University of Latvia, Riga, before obtaining his PhD in computer science from the Moscow State University. In 1997 he joined the EMBL and in 1999 was among the first scientists to use microarray data to study gene regulation. In 1999 he founded the Microarray Gene Expression Data society and started a microarray database ArrayExpress. Now he is in charge of several major EBI resources, including ArrayExpress, Expression Atlas, and BioStudies database. He is co-leading the working group on data integration for Pan-cancer Whole Genome project of the International Cancer Genome Consortium. Mike Ollmann, Principal Scientist, Amgen Dr. Ollmann’s work focuses on use of somatic cell genetics techniques, particularly CRISPR/Cas9 and RNAi, for early stage drug discovery. Dr. Ollmann obtained his Ph.D. in Genetics with Dr. Greg Barsh at Stanford University, prior to joining Exelixis Inc., where his work included early use of RNAi in Drosophila and mammalian cells for target identification and validation. He joined Amgen in 2011 and is a Principal Scientist in the Genome Analysis Unit based in South San Francisco. Anna Middleton, Head of Society & Ethics Research Wellcome Genome Campus November 16, 2016 CRISPR Dr Anna Middleton is a social scientist, continually asking ‘how are people responding to genomics?’ Her PhD is in psychology and she is also a trained genetic counsellor, having worked in the NHS for 10 years with patients exploring the impact of genetics on themselves and their families. She runs the Society and Ethics Research Group at the Wellcome Genome Campus in Cambridge and delivers research that explore the social and ethical impact of new genomic technologies.
  • 5. ©PistoiaAlliance Agenda 5 • CRISPR – Cas9 Gene Editing(PH) • Accelerating science (MO) • The informatics challenge (AB) • Cystic Fibrosis - the case for gene-editing (PH) • Ethics and CRISPR (slides from AM; presented by PH) 5November 16, 2016 CRISPR
  • 6. CRISPR – Cas9 Gene Editing Why How What Patrick Harrison, PhD – University College Cork, Ireland
  • 7. Val His Leu Thr Pro Glu Glu Lys Ser Asp November 16, 2016 CRISPR 7
  • 8. Val His Leu Thr Pro Val Glu Lys Ser Asp Target DNA November 16, 2016 CRISPR 8
  • 9. Thr Pro Glu Glu Lys Val His Leu Thr Pro Val Glu Lys Ser Asp Target DNA Donor DNA November 16, 2016 CRISPR 9
  • 10. Target DNA Donor DNA Clustered Regularly Interspaced Short Palindromic Repeats Cas9 guide RNA November 16, 2016 CRISPR 10
  • 11. Target DNA Donor DNA Cas9 guide RNA Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 11
  • 12. Target DNA Donor DNA Cas9 guide RNA Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 12
  • 13. Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 13
  • 14. Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 14
  • 15. Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 15
  • 16. Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 16
  • 17. Cut Resect Incorporate Seal Precision Repair November 16, 2016 CRISPR 17
  • 18. Thr Pro Glu Glu Lys Val His Leu Thr Pro Glu Glu Lys Ser Asp Cut Resect Incorporate Seal Precision Repair HDR Homology-directed repair November 16, 2016 CRISPR 18
  • 20. November 16, 2016 CRISPR 20
  • 21. November 16, 2016 CRISPR 21
  • 22. Val His Leu Thr Pro Gly Glu Val STOP NHEJ Non-homologous end joining In-frame STOP codon = gene knock-out November 16, 2016 22CRISPR
  • 23. Cas9 (2013) gRNA Why has Cas9/gRNA surpassed ZFNs and TALENs? ZFNs (1996) TALENs (2011) Standing on the shoulders of giants November 16, 2016 23CRISPR
  • 24. Cas9/guideRNA Design and synthesis (2013) November 16, 2016 CRISPR 24
  • 25. |||||||||||||||||||| 5’ GUCACCUCCAAUCAGUAGGG 3' gRNA Cas9/guideRNA Design and synthesis (2013) November 16, 2016 CRISPR 25
  • 26. |||||||||||||||||||| 5’ GUCACCUCCAAUCAGUAGGGGUUUUAGAGCUAG .|||||. |||| GUUCAACUAUUGCCUGAUCGGAAUAAAAUU CGAUA |||| GAA AAAGUGGCACCGA .|||||||G 3’ UUUUUUCGUGGCU A A A A gRNA Cas9/guideRNA Design and synthesis (2013) November 16, 2016 CRISPR 26
  • 27. |||||||||||||||||||| 5’ GUCACCUCCAAUCAGUAGGGGUUUUAGAGCUAG .|||||. |||| GUUCAACUAUUGCCUGAUCGGAAUAAAAUU CGAUA |||| GAA AAAGUGGCACCGA .|||||||G 3’ UUUUUUCGUGGCU A A A A Cas9 DSB gRNA Cas9/guideRNA Design and synthesis (2013) November 16, 2016 CRISPR 27
  • 28. Double Stranded Break Two options NHEJ • High efficiency KO • All cell types • KO in any animal • Clinical Editing HDR • Low efficiency Precision Repair • Dividing cells only • Multiple corrections in vivo November 16, 2016 CRISPR 28
  • 29. GFP transgenic rat ~40% Knock Outs CRISPR 2016 Mice Rats Cows Sheep Rabbits Monkeys Zebrafish Human Embryos (14-day limit) Transfer KO eggs to surrogate Pronuclei Germline Editing Inject Nuclease into Fertilised Eggs Yang 2009 November 16, 2016 CRISPR 29
  • 30. F.IX gene variant 1 2 3 4 Pre-clinical in vivo editing – haemophilia B i.v. inject nuclease and donor Li 2011 November 16, 2016 CRISPR 30
  • 31. F.IX gene variant 1 2 3 4 Pre-clinical in vivo editing – haemophilia B i.v. inject nuclease and donor Li 2011 November 16, 2016 CRISPR 31
  • 32. F.IX gene variant 1 2 3 4 Pre-clinical in vivo editing – haemophilia B i.v. inject nuclease and donor Li 2011 November 16, 2016 CRISPR 32
  • 33. F.IX gene variant Super-exon Donor 1 2 3 4 2 3 4 F.IX gene wild-type 1 2 3 42 3 4 Li 2011 November 16, 2016 CRISPR 33
  • 34. Gene Editing = Permanent cDNA addition = Transient Li 2011 November 16, 2016 CRISPR 34
  • 35. Gene Editing = Permanent cDNA addition = Transient Li 2011 November 16, 2016 CRISPR 35
  • 36. Gene Editing = Permanent cDNA addition = Transient Li 2011 Li 2011 November 16, 2016 CRISPR 36
  • 37. 100 to 1,000-fold reduction in viral load Control Tebas 2014 Patient #1 ZFNs delete CCR5 November 16, 2016 CRISPR 37
  • 38. Acute Lymphoid Leukaemia Modified Patient T cells CAR targets CD19 TALENs delete TCR (avoids rejection) 2015 Patient #2 TALENs enable CAR-T cells November 16, 2016 CRISPR 38
  • 39. CRISPR – Cas9 Gene Editing Interim Summary • Cas9/gRNA creates DNA breaks • HDR – precision repair @ low efficiency • NHEJ – targeted deletions @ high efficiency • Gene-edited cells already used in patients • CRISPR clinical trials – 2017/18? November 16, 2016 CRISPR 39
  • 40. Poll Question 2: Does your company have an active CRISPR research/informatics effort underway? A. Actively using CRISPR B. Exploring use of CRISPR C. Not currently using CRISPR D. I don’t know
  • 42. ©PistoiaAlliance Drug Discovery at Amgen Target discovery & validation driven by human genetics November 16, 2016 CRISPR 42
  • 43. ©PistoiaAlliance Gene Knockout & Editing by CRISPR/Cas9 Figure from ThermoFisher November 16, 2016 CRISPR 43
  • 44. ©PistoiaAlliance Rapid Gene Knockout by Delivery of Cas9/sgRNA Ribonucleoprotein complex Liang et al, J Biotech, 2015 102 103 104 105 200 150 100 50 Flow cytometry to quantify target protein levels 4 days after electroporation of Cas9/sgRNA complex Control cells - no sgRNA Cells+Cas9/target sgRNA Target protein expression levelCellcount November 16, 2016 CRISPR 44
  • 45. ©PistoiaAlliance Rapid Gene Knockout by Delivery of Cas9/sgRNA Ribonucleoprotein complex Not-so-rapid clonal isolation of edited cells Ran et al, Nature Protocols, 2013 Liang et al, J Biotech, 2015 November 16, 2016 CRISPR 45
  • 46. ©PistoiaAlliance Pooled Lentiviral sgRNA Libraries for Genome-scale Gene Knockout Screening Figure adapted from Hartenian & Doench, FEBS, 2015 November 16, 2016 CRISPR 46
  • 47. ©PistoiaAlliance Beyond Gene Knockout: Alternative Cas9-mediated Screening Methods Sanjana, Analytical Biochem., 2016 47November 16, 2016 CRISPR
  • 48. Poll Question 3: Which is more important to your research? A. Precision editing by homology-directed recombination (HDR) B. Targeted knock-out/deletion by non- homologous end-joining (NHEJ) C. Don’t use CRISPR
  • 49. The informatics challenge From predicting the target sites to assessing the effects Alvis Brazma – EMBL-EBI
  • 50. ©PistoiaAlliance Why bioinformatics? • Doing things in silico saves time and resources • Some examples of what can be done – Finding the target – a gene or locus of interest in the genome – Finding where to cut the genome near the target November 16, 2016 CRISPR 50
  • 51. ©PistoiaAlliance Cas9 nuclease is guided to the genome position by 20 nt short guide RNA (sgRNA) sequence From Sander & Joung, Nature Biotech. 32, 247 The guide sequence November 16, 2016 CRISPR 51
  • 52. ©PistoiaAlliance Selecting the sgRNA sequence Genome Gene of interest 20 nt sequence Most similar sequence off target Target sequence - perfect match Most similar sequence off target TCC November 16, 2016 CRISPR 52
  • 53. ©PistoiaAlliance Selecting the sgRNA sequence Genome Gene of interest 20 nt sequence Most similar sequence off target Most similar sequence off target Target sequence - perfect match TCC TCC November 16, 2016 CRISPR 53
  • 54. ©PistoiaAlliance Annotated CRISPR/Cas9 target sites in Ensembl genome browser at European Bioinformatics Institute Anna Farne, Mark Thomas, David Parry-Smith November 16, 2016 CRISPR 54November 16, 2016 CRISPR 54
  • 55. ©PistoiaAlliance What can bioinformatics do for CRISPR? • Tools for predicting and assessing the short guide RNA (sgRNA) – Purely sequence based methods – Methods utilizing the growing experimental evidence • Collecting the successes and failures of sgRNA sequences • Using machine learning to interpolate these • Tools for assessing and interpreting the editing results – Using and analyzing direct effects based on RNA sequencing – Assessing further downstream effects, such as systematic gene knockouts in cell lines November 16, 2016 CRISPR 55
  • 56. ©PistoiaAlliance CRISPR activities at EMBL-EBI in collaboration with the Wellcome Trust Sanger Institute • Computational annotation of sgRNA binding sites • (Planned) Curated database of experimental results – Experimentally validated sgRNA binding sites – Knockout screen results • Gene essentiality in various cell lines November 16, 2016 CRISPR 56
  • 57. Cystic Fibrosis The Case for Gene Editing Patrick Harrison, Ph.D. – University College Cork, Ireland
  • 58. 58November 16, 2016 CRISPR Cl- Cl- HCO3 - HCO3 - Airway hydrationNeutral pH Normal Lung CFTR anion channel Cilia beating H2O H2O
  • 59. 59November 16, 2016 CRISPR Cilia beating CF Lung Mutations in CFTR gene collapsed Cl- Cl- HCO3 - HCO3 - H2O H2O Cilia collapsed
  • 60. 60November 16, 2016 CRISPR Class III No conductance Class II Reduced Trafficking Class I No protein CF – Personalised Medicine 4,000 people 92,000 people 4,000 people
  • 61. 61November 16, 2016 CRISPR Absolutechangein% ofpredictedFEV1 Ramsay 2011 Nick Talbot Class III No conductance 4,000 people
  • 62. 62November 16, 2016 CRISPR Absolutechangein% ofpredictedFEV1 . Wainwright 2015 Orkambi (dose A) Orkambi (dose B) Placebo BA Class II Reduced Trafficking 92,000 people
  • 63. 63November 16, 2016 CRISPR Absolutechangein% ofpredictedFEV1 cDNA Placebo Alton 2015 Multi-dose CFTR cDNA is safe Class I No protein 4,000 people
  • 72. 72 Editing restores function Stem Cell Organoids WT F508del F508del edited November 16, 2016 CRISPR Schwank 2013 72
  • 73. 73 WT F508del F508del edited Editing restores function Stem Cell Organoids November 16, 2016 CRISPR Schwank 2013 73
  • 74. 74 WT F508del F508del edited Editing restores function Stem Cell Organoids November 16, 2016 CRISPR Schwank 2013 74
  • 75. 75 Schwank 2013 WT F508del F508del edited Editing restores function Stem Cell Organoids November 16, 2016 CRISPR 75
  • 77. 77 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' CRISPR KO – 40% of Class I (and IV) mutations Deep intron Mutations 3272 -26A>G (n = 463) 3849 +10kb C>T (n = 1,143) * * * 1811+1.6kb A>G (n = 71) 77 November 16, 2016 CRISPR
  • 78. 78 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' 3849 +10kb C>T (n = 1,143) * WT GTEx 22 AG GC AG Ex 23 November 16, 2016 CRISPR
  • 79. 79 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' 3849 +10kb C>T (n = 1,143) * WT GTEx 22 AG GT AG Ex 23 79 November 16, 2016 CRISPR
  • 80. 80 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' 3849 +10kb C>T (n = 1,143) * WT GTEx 22 AG GT AG Ex 23pseudo Exon TAA 80 CRISPRNovember 16, 2016
  • 81. 81 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' 3849 +10kb C>T (n = 1,143) * GWT GTEx 22 GT AG Ex 23pseudo Exon TAA Delete 25 to 150 bp 3849 +10kb C>T (n = 1,143) A 81 November 16, 2016 CRISPR
  • 82. 82 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 26 2724 25 3’5' WT GTEx 22 AG Ex 23 82 November 16, 2016 CRISPR
  • 83. 83 November 16, 2016 CRISPR One for All CFTR super-exons 83
  • 84. 84 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' 84 November 16, 2016 CRISPR
  • 85. 85 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' Bednarski 2016 CFTR Exons 11-27 85 November 16, 2016 CRISPR
  • 86. 86 CFTR Exons 11-27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' Bednarski 2016 86 November 16, 2016 CRISPR
  • 87. 87 CFTR Exons 11-27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 3’5' Bednarski 2016 87 November 16, 2016 CRISPR
  • 88. 88 CFTR Exons 11-27 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 5' CFTR Exons 11-27 CFTR Exons 11-27 3’ Bednarski 2016 88 November 16, 2016 CRISPR
  • 89. 89 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 23 26 2722 24 25 5' CFTR Exons 11-27 CFTR Exons 11-27 CFTR Exons 11-27 AAAA 3’ Unedited Super-exon Bednarski 2016 November 16, 2016 CRISPR 89
  • 90. November 16, 2016 CRISPR 90 Cystic Fibrosis – Cas9 Gene Editing Interim Summary • HDR – precise but inefficient • NHEJ – efficient but only 2% of individuals • HDR superexon – all mutations but inefficient • NHEJ superexon – TBC
  • 91. Cystic Fibrosis The Case for Gene Editing Patrick Harrison, Ph.D. – University College Cork, Ireland
  • 92. Dr Anna Middleton Head of Society and Ethics Research Wellcome Genome Campus Cambridge, UK November 16, 2016 CRISPR 92
  • 93. The most discussed ethics… • The most controversial aspect of CRISPR is the potential use in editing gametes or embryos • It is illegal to edit a human embryo with the aim of implanting it to achieve a pregnancy • However, it is acceptable (e.g. in the UK, under license) to do research using CRISPR on embryos up to 14 days of age November 16, 2016 CRISPR 93
  • 94. Public Debate pivotal • Public debate about ‘designer babies’, eugenics and the ‘slippery slope’ in the application of genetic technology has been happening for the last 40 years • However, now is the time to consider, what is socially acceptable in terms of research on embryos • If parents consent for research to happen on their discarded ’IVF’ embryos (that will never result in a pregnancy), does this mean it is socially acceptable to do? November 16, 2016 CRISPR 94
  • 95. The Debate so far… • Should all research on embryos be banned? • We live in a society where research on embryos up to the 14 day point is acceptable (and is being done) • CRISPR research should form part of this picture • If there is a moratorium on editing embryos in a research setting, this will push the research underground and out of public scrutiny • Research needs to be publicly funded on editing, in order to maintain safe regulation November 16, 2016 CRISPR 95
  • 96. Help the debate… • There are concerns that ethical debates about embryo editing will negatively affect research on somatic cells • we mustn’t let discussion about embryos dominate the public debate • We need to avoid the unhelpful ‘slippery slope’ arguments and consider the evolution of editing on a case by case basis November 16, 2016 CRISPR 96
  • 97. Policy is on its way… • A policy statement from the American Society of Human Genetics on ‘Germline Gene Editing’ will be issued shortly – has contribution from British, Canadian and USA genetic counsellors November 16, 2016 CRISPR 97
  • 98. Audience Q&A Please use the Question function in GoToWebinar
  • 99. ©PistoiaAlliance Other CRISPR events and resources • Pistoia Alliance member Benchling is hosting a panel discussion: Engineering the Future: Opportunities and Applications of CRISPR Wednesday November 30th 5:30-7:30pm PST Rock Health, 455 Mission Bay Boulevard, South #124, San Francisco, CA 94158 (more information at https://www.eventbrite.com/e/engineering-the-future-opportunities- and-applications-of-crispr-tickets-28795197210): • Pistoia Alliance member Merck KGaA (Millipore Sigma/SigmaAldrich) has series of technical webinars and other videos available http://www.sigmaaldrich.com/video/life-science/crispr-webinars.html • Others?
  • 100. ©PistoiaAlliance To address question posed by attendee re: tools CRISPR 100November 16, 2016 • <Alvis Brazma> The two widely used tools for CRISPR/Cas9 design that I would recommend are: – GPP Web Portal at the Broad Institute - http://portals.broadinstitute.org/gpp/public/analysis- tools/sgrna-design – CRISPRseek Bioconductor package http://bioconductor.org/packages/release/bioc/html/C RISPRseek.html • <Patrick Harrison> Recommended the following site for additional CRISPR resources: – https://www.addgene.org/crispr
  • 101. IDMP: Overview and collaboration opportunities The next Pistoia Alliance Discussion Webinar: Moderator: Gerhard Noelken Date: January 2017 check http://www.pistoiaalliance.org/events/ for the latest information

Hinweis der Redaktion

  1. Why we do it, how we do it, what are the ultimate goals?