Briefings in Bioinformatics,
Journal Year:
2022,
Volume and Issue:
23(4)
Published: July 5, 2022
Abstract
Complex
biomedical
data
generated
during
clinical,
omics
and
mechanism-based
experiments
have
increasingly
been
exploited
through
cloud-
visualization-based
mining
techniques.
However,
the
scientific
community
still
lacks
an
easy-to-use
web
service
for
comprehensive
visualization
of
data,
particularly
high-quality
publication-ready
graphics
that
allow
easy
scaling
updatability
according
to
user
demands.
Therefore,
we
propose
a
community-driven
modern
service,
Hiplot
(https://hiplot.org),
with
concise
top-quality
applications
life
sciences
fields.
This
permits
users
conveniently
interactively
complete
few
specialized
tasks
previously
could
only
be
conducted
by
senior
bioinformatics
or
biostatistics
researchers.
It
covers
most
daily
demands
researchers
its
equipped
240+
functions,
involving
basic
statistics,
multi-omics,
regression,
clustering,
dimensional
reduction,
meta-analysis,
survival
analysis,
risk
modelling,
etc.
Moreover,
improve
efficiency
in
use
development
plugins,
introduced
some
core
advantages
on
client-/server-side
website,
such
as
spreadsheet-based
importing,
cross-platform
command-line
controller
(Hctl),
multi-user
plumber
workers,
JavaScript
Object
Notation-based
plugin
system,
data/parameters,
results
errors
reproduction
real-time
updates
mode.
Meanwhile,
using
demo/real
sets
benchmark
tests,
explored
statistical
parameters,
cancer
genomic
landscapes,
disease
factors
performance
website
based
selected
native
plugins.
The
statistics
visits
numbers
further
reflect
potential
impact
this
relevant
Thus,
devoted
would
benefit
from
emerging
free
service.
Nature Communications,
Journal Year:
2020,
Volume and Issue:
11(1)
Published: Feb. 21, 2020
Abstract
Limited
clinical
activity
has
been
seen
in
osteosarcoma
(OS)
patients
treated
with
immune
checkpoint
inhibitors
(ICI).
To
gain
insights
into
the
immunogenic
potential
of
these
tumors,
we
conducted
whole
genome,
RNA,
and
T-cell
receptor
sequencing,
immunohistochemistry
reverse
phase
protein
array
profiling
(RPPA)
on
OS
specimens
from
48
pediatric
adult
primary,
relapsed,
metastatic
OS.
Median
infiltrate
level
was
lower
than
other
tumor
types
where
ICI
are
effective,
concomitant
low
clonalities.
Neoantigen
expression
lacking
significantly
associated
high
levels
nonsense-mediated
decay
(NMD).
Samples
had
higher
number
deleted
genes
while
those
expressed
adaptive
resistance
pathways.
PARP2
were
negatively
infiltrate.
Together,
data
reveal
multiple
immunosuppressive
features
suggest
immunotherapeutic
opportunities
patients.
Molecular Therapy — Nucleic Acids,
Journal Year:
2020,
Volume and Issue:
22, P. 937 - 947
Published: Oct. 10, 2020
The
signature
composed
of
immune-related
long
noncoding
ribonucleic
acids
(irlncRNAs)
with
no
requirement
specific
expression
level
seems
to
be
valuable
in
predicting
the
survival
patients
hepatocellular
carcinoma
(HCC).
Here,
we
retrieved
raw
transcriptome
data
from
Cancer
Genome
Atlas
(TCGA),
identified
irlncRNAs
by
co-expression
analysis,
and
recognized
differently
expressed
irlncRNA
(DEirlncRNA)
pairs
using
univariate
analysis.
In
addition,
modified
Lasso
penalized
regression.
Then,
compared
areas
under
curve,
counted
Akaike
information
criterion
(AIC)
values
5-year
receiver
operating
characteristic
cut-off
point
set
up
an
optimal
model
for
distinguishing
high-
or
low-disease-risk
groups
among
HCC.
We
then
reevaluated
them
viewpoints
survival,
clinic-pathological
characteristics,
tumor-infiltrating
immune
cells,
chemotherapeutics
efficacy,
immunosuppressed
biomarkers.
36
DEirlncRNA
were
identified,
12
which
included
a
Cox
regression
model.
After
regrouping
point,
could
more
effectively
differentiate
between
based
on
unfavorable
outcome,
aggressive
tumor
infiltration
status,
low
sensitivity,
highly
established
paring
regardless
levels
showed
promising
clinical
prediction
value.
Cell Metabolism,
Journal Year:
2019,
Volume and Issue:
30(4), P. 720 - 734.e5
Published: Aug. 22, 2019
Cancer
metastasis
depends
on
cell
survival
following
loss
of
extracellular
matrix
attachment
and
dissemination
through
the
circulation.
The
metastatic
spread
can
be
enhanced
by
clustering
detached
cancer
cells
increased
antioxidant
defense.
Here,
we
link
these
responses
describing
how
limits
reactive
oxygen
species
(ROS).
Loss
causes
mitochondrial
perturbations
ROS
production.
formation
clusters
induces
a
hypoxic
environment
that
drives
hypoxia-inducible
factor
1-alpha
(Hif1α)-mediated
mitophagy,
clearing
damaged
mitochondria
limiting
ROS.
However,
hypoxia
reduced
capacity
promote
dependence
glycolysis
for
ATP
production
is
supported
cytosolic
reductive
metabolism.
Preventing
this
metabolic
adaptation
or
disruption
results
in
accumulation,
death,
reduction
vivo.
Our
provide
mechanistic
explanation
role
supporting
during
detachment
may
point
to
targetable
vulnerabilities.
Cancer Discovery,
Journal Year:
2021,
Volume and Issue:
11(6), P. 1524 - 1541
Published: Feb. 15, 2021
Immune
checkpoint
blockade
(ICB)
therapy
revolutionized
cancer
treatment,
but
many
patients
with
impaired
MHC-I
expression
remain
refractory.
Here,
we
combined
FACS-based
genome-wide
CRISPR
screens
a
data-mining
approach
to
identify
drugs
that
can
upregulate
without
inducing
PD-L1.
screening
identified
TRAF3,
suppressor
of
the
NFκB
pathway,
as
negative
regulator
not
The
Traf3-knockout
gene
signature
is
associated
better
survival
in
ICB-naïve
and
ICB
response.
We
then
screened
for
similar
transcriptional
effects
this
Second
Mitochondria-derived
Activator
Caspase
(SMAC)
mimetics.
experimentally
validated
SMAC
mimetic
birinapant
upregulates
MHC-I,
sensitizes
cells
T
cell-dependent
killing,
adds
efficacy.
Our
findings
provide
preclinical
rationale
treating
tumors
expressing
low
mimetics
enhance
sensitivity
immunotherapy.
used
study
be
generalized
other
immunotherapy
SIGNIFICANCE:
loss
or
downregulation
major
mechanism
resistance
cell-based
immunotherapies.
reveals
may
baseline
This
represents
promising
opportunities
given
biosafety
profile
from
multiple
clinical
trials.This
article
highlighted
In
Issue
feature,
p.
1307.
Briefings in Bioinformatics,
Journal Year:
2022,
Volume and Issue:
23(4)
Published: July 5, 2022
Abstract
Complex
biomedical
data
generated
during
clinical,
omics
and
mechanism-based
experiments
have
increasingly
been
exploited
through
cloud-
visualization-based
mining
techniques.
However,
the
scientific
community
still
lacks
an
easy-to-use
web
service
for
comprehensive
visualization
of
data,
particularly
high-quality
publication-ready
graphics
that
allow
easy
scaling
updatability
according
to
user
demands.
Therefore,
we
propose
a
community-driven
modern
service,
Hiplot
(https://hiplot.org),
with
concise
top-quality
applications
life
sciences
fields.
This
permits
users
conveniently
interactively
complete
few
specialized
tasks
previously
could
only
be
conducted
by
senior
bioinformatics
or
biostatistics
researchers.
It
covers
most
daily
demands
researchers
its
equipped
240+
functions,
involving
basic
statistics,
multi-omics,
regression,
clustering,
dimensional
reduction,
meta-analysis,
survival
analysis,
risk
modelling,
etc.
Moreover,
improve
efficiency
in
use
development
plugins,
introduced
some
core
advantages
on
client-/server-side
website,
such
as
spreadsheet-based
importing,
cross-platform
command-line
controller
(Hctl),
multi-user
plumber
workers,
JavaScript
Object
Notation-based
plugin
system,
data/parameters,
results
errors
reproduction
real-time
updates
mode.
Meanwhile,
using
demo/real
sets
benchmark
tests,
explored
statistical
parameters,
cancer
genomic
landscapes,
disease
factors
performance
website
based
selected
native
plugins.
The
statistics
visits
numbers
further
reflect
potential
impact
this
relevant
Thus,
devoted
would
benefit
from
emerging
free
service.