Severus: accurate detection and characterization of somatic structural variation in tumor genomes using long reads
Ayse Keskus,
No information about this author
Asher Bryant,
No information about this author
Tanveer Ahmad
No information about this author
et al.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 26, 2024
Abstract
Most
current
studies
rely
on
short-read
sequencing
to
detect
somatic
structural
variation
(SV)
in
cancer
genomes.
Long-read
offers
the
advantage
of
better
mappability
and
long-range
phasing,
which
results
substantial
improvements
germline
SV
detection.
However,
long-read
detection
methods
do
not
generalize
well
analysis
SVs
tumor
genomes
with
complex
rearrangements,
heterogeneity,
aneuploidy.
Here,
we
present
Severus:
a
method
for
accurate
different
types
using
phased
breakpoint
graph
approach.
To
benchmark
various
short-
methods,
sequenced
five
tumor/normal
cell
line
pairs
Illumina,
Nanopore,
PacBio
platforms;
this
Severus
showed
highest
F1
scores
(harmonic
mean
precision
recall)
as
compared
methods.
We
then
applied
three
clinical
cases
pediatric
cancer,
demonstrating
concordance
known
genetic
findings
revealing
clinically
relevant
cryptic
rearrangements
missed
by
standard
genomic
panels.
Language: Английский
Evolution of genome-wide methylation profiling technologies
Genome Research,
Journal Year:
2025,
Volume and Issue:
35(4), P. 572 - 582
Published: April 1, 2025
In
this
mini-review,
we
explore
the
advancements
in
genome-wide
DNA
methylation
profiling,
tracing
evolution
from
traditional
methods
such
as
arrays
and
whole-genome
bisulfite
sequencing
to
cutting-edge
single-molecule
profiling
enabled
by
long-read
(LRS)
technologies.
We
highlight
how
LRS
is
transforming
clinical
translational
research,
particularly
its
ability
simultaneously
measure
genetic
epigenetic
information,
providing
a
more
comprehensive
understanding
of
complex
disease
mechanisms.
discuss
current
challenges
future
directions
field,
emphasizing
need
for
innovative
computational
tools
robust,
reproducible
approaches
fully
harness
capabilities
molecular
diagnostics.
Language: Английский
Towards understanding cancer dormancy over strategic hitching up mechanisms to technologies
Molecular Cancer,
Journal Year:
2025,
Volume and Issue:
24(1)
Published: Feb. 14, 2025
Delving
into
cancer
dormancy
has
been
an
inherent
task
that
may
drive
the
lethal
recurrence
of
after
primary
tumor
relief.
Cells
in
quiescence
can
survive
for
a
short
or
long
term
silence,
undergo
genetic
epigenetic
changes,
and
initiate
relapse
through
certain
contextual
cues.
The
state
be
induced
by
multiple
conditions
including
drug
treatment,
turn,
undergoes
life
cycle
generally
occurs
dissemination,
invasion,
intravasation,
circulation,
immune
evasion,
extravasation,
colonization.
Throughout
this
cascade,
cellular
machinery
governs
fate
individual
cells,
largely
affected
gene
regulation.
Despite
its
significance,
precise
view
is
yet
hampered.
Revolutionizing
advanced
single
cell
read
sequencing
analysis
methodologies
artificial
intelligence,
most
recent
stage
research
tool
progress,
expected
to
provide
holistic
diverse
aspects
dormancy.
Language: Английский
Severus detects somatic structural variation and complex rearrangements in cancer genomes using long-read sequencing
Nature Biotechnology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 4, 2025
Language: Английский
The benefit of a complete reference genome for cancer structural variant analysis
Luis F. Paulin,
No information about this author
Jeremy Fan,
No information about this author
Kieran O’Neill
No information about this author
et al.
medRxiv (Cold Spring Harbor Laboratory),
Journal Year:
2024,
Volume and Issue:
unknown
Published: March 18, 2024
The
complexities
of
cancer
genomes
are
becoming
more
easily
interpreted
due
to
advancements
in
sequencing
technologies
and
improved
bioinformatic
analysis.
Structural
variants
(SVs)
represent
an
important
subset
somatic
events
tumors.
While
detection
SVs
has
been
markedly
by
the
development
long-read
sequencing,
variant
identification
annotation
remains
challenging.
We
hypothesized
that
use
a
completed
human
reference
genome
(CHM13-T2T)
would
improve
SV
calling.
Our
findings
tumour/normal
matched
benchmark
sample
two
patient
samples
show
CHM13-T2T
improves
prioritization
accuracy
compared
GRCh38,
with
notable
reduction
false
positive
calls.
also
overcame
lack
resources
for
lifting
over
CHM13-T2T-aligned
reads
GRCh38
genome,
therefore
combining
both
alignment
advanced
annotations.
In
this
process,
we
assessed
current
set
COLO829/COLO829BL
across
four
replicates
sequenced
at
different
centers
technologies.
discovered
instability
cell
line
these
replicates;
346
(1.13%)
were
only
discoverable
single
replicate.
identify
49
SVs,
which
appear
be
stable
as
they
consistently
present
replicates.
As
such,
propose
consensus
updated
calling
include
coordinates
our
benchmark.
is
available
at:
10.5281/zenodo.10819636
work
demonstrates
new
approaches
optimize
potential
improvements
other
genetic
diseases.
Language: Английский
Development of an Automated, Ultra-Rapid Bottom-Up Proteomics Workflow Utilizing Alginate-Based Hydrogels
Analytical Chemistry,
Journal Year:
2024,
Volume and Issue:
96(47), P. 18880 - 18889
Published: Nov. 11, 2024
A
new
approach
to
sample
preparation
and
enzymatic
digestion
in
bottom-up
proteomics
has
been
developed
using
alginate-based
hydrogel
entrapment
of
enzymes.
This
facilitates
rapid
room-temperature
digestions
with
multienzyme
capabilities.
Three
methodologies
were
tested:
within
microcentrifuge
tubes,
Language: Английский