The
canonical
model
of
tumor
suppressor
gene
(TSG)-mediated
oncogenesis
posits
that
loss
both
alleles
is
necessary
for
inactivation.
Here,
through
allele-specific
analysis
sequencing
data
from
48,179
cancer
patients,
we
define
the
prevalence,
selective
pressure
for,
and
functional
consequences
biallelic
inactivation
across
TSGs.
TSGs
largely
assort
into
distinct
classes
associated
with
either
pan-cancer
(Class
1)
or
lineage-specific
2)
patterns
selection
loss,
although
some
are
predominantly
monoallelically
inactivated
3/4).
We
demonstrate
can
be
utilized
to
identify
driver
genes
in
non-canonical
contexts,
including
among
variants
unknown
significance
(VUSs)
several
such
as
KEAP1.
Genomic,
functional,
clinical
collectively
indicate
KEAP1
VUSs
phenocopy
established
oncogenic
zygosity,
rather
than
variant
classification,
predictive
therapeutic
response.
TSG
zygosity
therefore
a
fundamental
determinant
disease
etiology
sensitivity.
Nature Genetics,
Год журнала:
2025,
Номер
57(1), С. 140 - 153
Опубликована: Янв. 1, 2025
Abstract
The
mutational
landscape
of
TP53
,
a
tumor
suppressor
mutated
in
about
half
all
cancers,
includes
over
2,000
known
missense
mutations.
To
fully
leverage
mutation
status
for
personalized
medicine,
thorough
understanding
the
functional
diversity
these
mutations
is
essential.
We
conducted
deep
scan
using
saturation
genome
editing
with
CRISPR-mediated
homology-directed
repair
to
engineer
9,225
variants
cancer
cells.
This
high-resolution
approach,
covering
94.5%
cancer-associated
mutations,
precisely
mapped
impact
individual
on
cell
fitness,
surpassing
previous
studies
distinguishing
benign
from
pathogenic
variants.
Our
results
revealed
even
subtle
loss-of-function
phenotypes
and
identified
promising
mutants
pharmacological
reactivation.
Moreover,
we
uncovered
roles
splicing
alterations
nonsense-mediated
messenger
RNA
decay
mutation-driven
dysfunction.
These
findings
underscore
power
advancing
clinical
variant
interpretation
genetic
counseling
therapy.
Nature Biotechnology,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 12, 2024
Mutational
scanning
connects
genetic
variants
to
phenotype,
enabling
the
interrogation
of
protein
functions,
interactions
and
variant
pathogenicity.
However,
current
methodologies
cannot
efficiently
engineer
customizable
sets
diverse
in
endogenous
loci
across
cellular
contexts
high
throughput.
Here,
we
combine
cytosine
adenine
base
editors
a
prime
editor
assess
pathogenicity
broad
spectrum
epithelial
growth
factor
receptor
gene
(EGFR).
Using
pooled
editing
guide
RNA
libraries,
install
tens
thousands
spanning
full
coding
sequence
EGFR
multiple
cell
lines
role
these
tumorigenesis
resistance
tyrosine
kinase
inhibitors.
Our
scan
identifies
important
hits,
supporting
robustness
approach
revealing
underappreciated
routes
activation
drug
response.
We
anticipate
that
multimodal
precision
mutational
can
be
applied
broadly
characterize
variation
any
element
interest
at
single-nucleotide
resolution.
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,
Год журнала:
2024,
Номер
43(6), С. 114313 - 114313
Опубликована: Июнь 1, 2024
Personalized
cancer
therapeutics
bring
directed
treatment
options
to
patients
based
on
their
tumor's
genetic
signature.
Unfortunately,
tumor
genomes
are
remarkably
adaptable,
and
acquired
resistance
through
gene
mutation
frequently
occurs.
Identifying
mutations
that
promote
within
drug-treated
patient
populations
can
be
cost,
resource,
time
intensive.
Accordingly,
base
editing,
enabled
by
Cas9-deaminase
domain
fusions,
has
emerged
as
a
promising
approach
for
rapid,
large-scale
variant
screening
in
situ.
Here,
we
adapt
optimize
conditional
activation-induced
cytidine
deaminase
(AID)-dead
Cas9
(dCas9)
system,
which
demonstrates
greater
heterogeneity
of
edits
with
an
expanded
footprint
compared
the
most
commonly
utilized
cytosine
editor,
BE4.
In
combination
custom
single
guide
RNA
(sgRNA)
library,
identify
individual
compound
variants
epidermal
growth
factor
receptor
(EGFR)
v-raf
murine
sarcoma
viral
oncogene
homolog
B1
(BRAF)
confer
established
EGFR
inhibitors.
This
system
analytical
pipeline
provide
simple,
highly
scalable
platform
cis
or
trans
drug-modifying
discovery
uncovering
valuable
insights
into
protein
structure-function
relationships.
Cell Reports Methods,
Год журнала:
2024,
Номер
4(5), С. 100776 - 100776
Опубликована: Май 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
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 24, 2025
Mouse
models
represent
a
powerful
platform
to
study
genes
and
variants
associated
with
human
diseases.
While
genome
editing
technologies
have
increased
the
rate
precision
of
model
development,
predicting
installing
specific
types
mutations
in
mice
that
mimic
native
genetic
context
is
complicated.
Computational
tools
can
identify
align
orthologous
wild-type
sequences
from
different
species;
however,
predictive
modeling
engineering
equivalent
mouse
mirror
nucleotide
and/or
polypeptide
change
effects
remains
challenging.
Here,
we
present
H2M
(human-to-mouse),
computational
pipeline
analyze
variation
data
systematically
predict
functional
consequences
variants.
We
show
integrate
mouse-to-human
paralog-to-paralog
variant
mapping
analyses
pipelines
devise
strategies
tailored
mice.
leveraged
these
establish
database
containing
>
3
million
human-mouse
mutation
pairs,
as
well
silico
-designed
base
prime
libraries
engineer
4,944
recurrent
pairs.
Using
H2M,
also
found
predicted
pathogenicity
immunogenicity
scores
were
highly
correlated
between
suggesting
similar
sequence
may
exhibit
broad
interspecies
conservation.
Overall,
fills
gap
field
by
establishing
robust
versatile
framework
homologous
across
species
while
providing
key
experimental
resources
augment
genetics
medicine
applications.
The
(including
software
package
documentation)
be
accessed
at
https://human2mouse.com
.
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2025,
Номер
unknown
Опубликована: Фев. 26, 2025
Human
genome
sequencing
efforts
in
healthy
and
diseased
individuals
continue
to
identify
a
broad
spectrum
of
genetic
variants
associated
with
predisposition,
progression,
therapeutic
outcomes
for
diseases
like
cancer
1-6
.
Insights
derived
from
these
studies
have
significant
potential
guide
clinical
diagnoses
treatment
decisions;
however,
the
relative
importance
functional
impact
most
remain
poorly
understood.
Precision
editing
technologies
base
prime
can
be
used
systematically
engineer
interrogate
diverse
types
endogenous
their
native
context
7-9
We
others
recently
developed
applied
scalable
sensor-based
screening
approaches
measure
phenotypes
produced
by
thousands
mutations
vitro
10-12
However,
physiological
vivo
setting,
including
contextual
differences
depending
on
tissue
or
microenvironment,
remains
unexplored.
Here,
we
integrate
new
cross-species
sensor
libraries
syngeneic
mouse
models
develop
multiplexed
platform
systematic
analysis
primary
disseminated
malignancies.
this
screen
13,840
RNAs
designed
7,783
human
cancer-associated
mapping
489
protein-coding
genes,
allowing
us
construct
rich
compendium
putative
interactions
between
mutations,
contexts.
Our
findings
suggest
that
environment
cellular
organotropism
are
important
determinants
specific
gene-variant
phenotypes.
also
show
many
effects
fail
detected
standard
CRISPR-Cas9
nuclease
often
produce
discordant
phenotypes,
potentially
due
site-specific
amino
acid
selection-
separation-of-function
mechanisms.
This
versatile
could
deployed
investigate
how
variation
impacts
other
diseases,
as
well
avenues
treat
disease.