bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 5, 2023
Abstract
Variants
of
uncertain
significance
(VUS)
hamper
the
clinical
application
genetic
information.
For
example,
in
treating
lung
cancer
with
tyrosine
kinase
inhibitors
(TKIs),
many
epidermal
growth
factor
receptor
(EGFR)
variants
remain
classified
as
VUS
respect
to
TKI
sensitivity
1,2
.
Such
incomplete
resistance
profiles
hinder
clinicians
from
selecting
optimal
therapeutic
agents
3,4
A
high-throughput
approach
that
can
evaluate
functional
effects
single
nucleotide
(SNVs)
could
reduce
number
VUS.
Here
we
introduce
SynPrime,
a
method
based
on
prime
editing
enabled
generation
and
evaluation
2,476
SNVs
EGFR
gene,
including
99%
all
possible
canonical
domain
(exons
18
21).
We
determined
95%
(=
1,726/1,817)
protein
encoded
whole
24)
against
afatinib,
osimertinib,
osimertinib
presence
co-occurring
mutation
T790M,
PC-9
cells.
which
uses
direct
sequencing
endogenous
regions
identify
SNVs,
provided
more
accurate
evaluations
than
guide
RNA
abundance-based
approach.
Our
study
has
potential
substantially
improve
precision
choices
settings
contribute
addressing
issue
by
being
applied
other
genes.
Nature Biotechnology,
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 12, 2024
Tumor
genomes
often
harbor
a
complex
spectrum
of
single
nucleotide
alterations
and
chromosomal
rearrangements
that
can
perturb
protein
function.
Prime
editing
has
been
applied
to
install
evaluate
genetic
variants,
but
previous
approaches
have
limited
by
the
variable
efficiency
prime
guide
RNAs.
Here
we
present
high-throughput
sensor
strategy
couples
RNAs
with
synthetic
versions
their
cognate
target
sites
quantitatively
assess
functional
impact
endogenous
variants.
We
screen
over
1,000
cancer-associated
variants
TP53-the
most
frequently
mutated
gene
in
cancer-to
identify
alleles
p53
function
mechanistically
diverse
ways.
find
certain
TP53
particularly
those
oligomerization
domain,
display
opposite
phenotypes
exogenous
overexpression
systems.
Our
results
emphasize
physiological
importance
dosage
shaping
native
stoichiometry
protein-protein
interactions,
establish
framework
for
studying
sequence
context
at
scale.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 21, 2023
Regulatory
DNA
sequences
within
enhancers
and
promoters
bind
transcription
factors
to
encode
cell
type-specific
patterns
of
gene
expression.
However,
the
regulatory
effects
programmability
such
remain
difficult
map
or
predict
because
we
have
lacked
scalable
methods
precisely
edit
quantify
in
an
endogenous
genomic
context.
Here
present
approach
measure
quantitative
hundreds
designed
sequence
variants
on
expression,
by
combining
pooled
CRISPR
prime
editing
with
RNA
fluorescence
Nature Methods,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 19, 2024
Prime
editing
installs
precise
edits
into
the
genome
with
minimal
unwanted
byproducts,
but
low
and
variable
efficiencies
have
complicated
application
of
approach
to
high-throughput
functional
genomics.
Here
we
assembled
a
prime
platform
capable
high-efficiency
substitution
suitable
for
interrogation
small
genetic
variants.
We
benchmarked
this
pooled,
loss-of-function
screening
using
library
~240,000
engineered
guide
RNAs
(epegRNAs)
targeting
~17,000
codons
1–3
bp
substitutions.
Comparing
abundance
these
epegRNAs
across
screen
samples
identified
negative
selection
phenotypes
7,996
nonsense
mutations
targeted
1,149
essential
genes
synonymous
that
disrupted
splice
site
motifs
at
3′
exon
boundaries.
Rigorous
evaluation
codon-matched
controls
demonstrated
were
highly
specific
intended
edit.
Altogether,
established
multiplexed,
characterization
variants
simple
readouts.
This
work
establishes
(up
tens
thousands)
phenotypes.
Cell Reports Methods,
Journal Year:
2024,
Volume and Issue:
4(5), P. 100776 - 100776
Published: May 1, 2024
Continual
advancements
in
genomics
have
led
to
an
ever-widening
disparity
between
the
rate
of
discovery
genetic
variants
and
our
current
understanding
their
functions
potential
roles
disease.
Systematic
methods
for
phenotyping
DNA
are
required
effectively
translate
data
into
improved
outcomes
patients
with
diseases.
To
make
biggest
impact,
these
approaches
must
be
scalable
accurate,
faithfully
reflect
disease
biology,
define
complex
mechanisms.
We
compare
analyze
function
endogenous
context
using
genome
editing
strategies,
such
as
saturation
editing,
base
prime
editing.
discuss
how
technologies
can
linked
high-content
readouts
gain
deep
mechanistic
insights
variant
effects.
Finally,
we
highlight
key
challenges
that
need
addressed
bridge
genotype
phenotype
gap,
ultimately
improve
diagnosis
treatment
Biochemical Society Transactions,
Journal Year:
2024,
Volume and Issue:
52(2), P. 803 - 819
Published: April 17, 2024
Recent
advances
in
genome
editing
technologies
are
allowing
investigators
to
engineer
and
study
cancer-associated
mutations
their
endogenous
genetic
contexts
with
high
precision
efficiency.
Of
these,
base
prime
quickly
becoming
gold-standards
the
field
due
versatility
scalability.
Here,
we
review
merits
limitations
of
these
technologies,
application
modern
cancer
research,
speculate
how
could
be
integrated
address
future
directions
field.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 27, 2024
Prime
editing
installs
precise
edits
into
the
genome
with
minimal
unwanted
byproducts,
but
low
and
variable
efficiencies
have
complicated
application
of
approach
to
high-throughput
functional
genomics.
Leveraging
several
recent
advances,
we
assembled
a
prime
platform
capable
high-efficiency
substitution
across
set
engineered
guide
RNAs
(epegRNAs)
corresponding
target
sequences
(80%
median
intended
editing).
Then,
using
custom
library
240,000
epegRNAs
targeting
>17,000
codons
175
different
types,
benchmarked
our
for
interrogation
small
variants
(1-3
nucleotides)
targeted
essential
genes.
Resulting
data
identified
negative
growth
phenotypes
nonsense
mutations
~8,000
codons,
comparing
those
results
from
controls
demonstrated
high
specificity.
We
also
observed
synonymous
that
disrupted
splice
site
motifs
at
3'
exon
boundaries.
Altogether,
establish
benchmark
characterization
genetic
simple
readouts
multiplexed
experiments.
bioRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Oct. 26, 2022
Abstract
Many
human
diseases
have
a
strong
association
with
diverse
types
of
genetic
alterations.
These
include
cancer,
in
which
tumor
genomes
often
harbor
complex
spectrum
single-nucleotide
alterations
and
chromosomal
rearrangements
that
can
perturb
gene
function
ways
remain
poorly
understood.
Some
cancer-associated
genes
exhibit
tremendous
degree
mutational
heterogeneity,
may
impact
disease
initiation,
progression,
therapy
responses.
For
example,
TP53
,
the
most
frequently
mutated
shows
extensive
allelic
variation
leads
to
generation
altered
proteins
produce
functionally
distinct
phenotypes.
Whether
variants
other
encode
loss-of-function,
gain-of-function,
or
otherwise
neomorphic
phenotypes
remains
both
controversial
technically
challenging
assess,
particularly
at
endogenous
level.
Here,
we
present
high-throughput
prime
editing
“sensor”
strategy
quantitatively
assess
functional
variants.
We
used
this
screen
largest
collection
assembled
date,
identifying
known
novel
alleles
p53
mechanistically
ways.
Intriguingly,
find
certain
variants,
those
oligomerization
domain,
display
opposite
exogenous
overexpression
systems.
disease-relevant
found
humans
cancer
predisposition
syndromes
unique
molecular
properties.
Our
results
emphasize
physiological
importance
dosage
shaping
native
protein
stoichiometry
protein-protein
interactions,
highlight
dangers
using
systems
interpret
pathogenic
alleles,
establish
powerful
computational
experimental
framework
for
studying
their
sequence
context
scale.