Protein Science,
Journal Year:
2020,
Volume and Issue:
30(1), P. 218 - 233
Published: Nov. 4, 2020
Abstract
For
a
complete
understanding
of
system's
processes
and
each
protein's
role
in
health
disease,
it
is
essential
to
study
protein
expression
with
spatial
resolution,
as
the
exact
location
proteins
at
tissue,
cellular,
or
subcellular
levels
tightly
linked
function.
The
Human
Protein
Atlas
(HPA)
project
large‐scale
initiative
aiming
mapping
entire
human
proteome
using
antibody‐based
proteomics
integration
various
other
omics
technologies.
publicly
available
knowledge
resource
www.proteinatlas.org
one
world's
most
visited
biological
databases
has
been
extensively
updated
during
last
few
years.
current
version
divided
into
six
main
sections,
focusing
on
particular
aspects
proteome:
(a)
Tissue
showing
distribution
across
all
major
tissues
organs
body;
(b)
Cell
localization
single
cells;
(c)
Pathology
impact
survival
patients
cancer;
(d)
Blood
profiles
blood
cells
actively
secreted
proteins;
(e)
Brain
human,
mouse,
pig
brain;
(f)
Metabolic
involvement
metabolism.
HPA
constitutes
an
important
for
further
biology,
datasets
hold
much
promise
emerging
efforts
cell
analyses,
both
transcriptomic
proteomic
level.
Signal Transduction and Targeted Therapy,
Journal Year:
2020,
Volume and Issue:
5(1)
Published: Aug. 11, 2020
Abstract
The
last
3
years
have
seen
the
emergence
of
promising
targeted
therapies
for
treatment
hepatocellular
carcinoma
(HCC).
Sorafenib
has
been
mainstay
a
decade
and
newer
modalities
were
ineffective
did
not
confer
any
increased
therapeutic
benefit
until
introduction
lenvatinib
which
was
approved
based
on
its
non-inferiority
to
sorafenib.
subsequent
success
regorafenib
in
HCC
patients
who
progress
sorafenib
heralded
new
era
second-line
quickly
followed
by
ramucirumab,
cabozantinib,
most
influential,
immune
checkpoint
inhibitors
(ICIs).
Over
same
period
combination
therapies,
including
anti-angiogenesis
agents
with
ICIs,
dual
ICIs
conjunction
surgery
or
other
loco-regional
extensively
investigated
shown
promise
provided
basis
exciting
clinical
trials.
Work
continues
develop
additional
novel
could
potentially
augment
presently
available
options
understand
underlying
mechanisms
responsible
drug
resistance,
goal
improving
survival
HCC.
Nucleic Acids Research,
Journal Year:
2021,
Volume and Issue:
50(D1), P. D1522 - D1527
Published: Oct. 22, 2021
The
rapid
development
of
proteomics
studies
has
resulted
in
large
volumes
experimental
data.
emergence
big
data
platform
provides
the
opportunity
to
handle
these
amounts
integrated
proteome
resource,
iProX
(https://www.iprox.cn),
which
was
initiated
2017,
been
greatly
improved
with
an
up-to-date
implemented
2021.
Here,
we
describe
main
developments
since
its
first
publication
Nucleic
Acids
Research
2019.
First,
a
hyper-converged
architecture
high
scalability
supports
submission
process.
A
hadoop
cluster
can
store
datasets,
and
distributed,
RESTful-styled
Elastic
Search
engine
query
millions
records
within
one
second.
Also,
several
new
features,
including
Universal
Spectrum
Identifier
(USI)
mechanism
proposed
by
ProteomeXchange,
RESTful
Web
Service
API,
high-efficiency
reanalysis
pipeline,
have
added
for
better
open
sharing.
By
end
August
2021,
1526
datasets
had
submitted
iProX,
reaching
total
volume
92.42TB.
With
implementation
platform,
support
PB-level
storage,
hundreds
billions
spectra
records,
second-level
latency
service
capabilities
that
meet
requirements
fast
growing
field
proteomics.
Advanced Drug Delivery Reviews,
Journal Year:
2020,
Volume and Issue:
159, P. 245 - 293
Published: Jan. 1, 2020
With
the
advent
of
effective
tools
to
study
lipids,
including
mass
spectrometry-based
lipidomics,
lipids
are
emerging
as
central
players
in
cancer
biology.
Lipids
function
essential
building
blocks
for
membranes,
serve
fuel
drive
energy-demanding
processes
and
play
a
key
role
signaling
molecules
regulators
numerous
cellular
functions.
Not
unexpectedly,
cells,
well
other
cell
types
tumor
microenvironment,
exploit
various
ways
acquire
extensively
rewire
their
metabolism
part
plastic
context-dependent
metabolic
reprogramming
that
is
driven
by
both
oncogenic
environmental
cues.
The
resulting
changes
fate
composition
help
cells
thrive
changing
microenvironment
supporting
functions
hallmarks,
energetics,
promoting
feedforward
signaling,
resisting
oxidative
stresses,
regulating
intercellular
communication
immune
responses.
Supported
close
connection
between
altered
lipid
pathogenic
process,
specific
profiles
unique
disease
biomarkers,
with
diagnostic,
prognostic
predictive
potential.
Multiple
preclinical
studies
illustrate
translational
promise
exploiting
cancer,
critically,
have
shown
context
dependent
actionable
vulnerabilities
can
be
rationally
targeted,
particularly
combinatorial
approaches.
Moreover,
themselves
used
membrane
disrupting
agents
or
components
nanocarriers
therapeutics.
number
compounds
strategies
approaching
clinical
trials,
we
at
doorstep
hitherto
underappreciated
hallmark
promising
target
oncologist's
strategy
combat
cancer.
Chemical Research in Toxicology,
Journal Year:
2019,
Volume and Issue:
32(8), P. 1469 - 1486
Published: July 29, 2019
Cisplatin
is
one
of
the
most
widely
used
chemotherapeutic
agents
for
various
solid
tumors
in
clinic
due
to
its
high
efficacy
and
broad
spectrum.
The
antineoplastic
activity
cisplatin
mainly
ability
cross-link
with
DNA,
thus
blocking
transcription
replication.
Unfortunately,
clinical
use
limited
by
severe,
dose-dependent
toxic
side
effects.
There
are
approximately
40
specific
toxicities
cisplatin,
among
which
nephrotoxicity
common
one.
Other
effects
include
ototoxicity,
neurotoxicity,
gastrointestinal
toxicity,
hematological
cardiotoxicity,
hepatotoxicity.
These
together
reduce
life
quality
patients
require
lowering
dosage
drug,
even
stopping
administration,
weakening
treatment
effect.
Few
effective
measures
exist
clinically
against
these
because
exact
mechanisms
from
remain
still
unclear.
Therefore,
substantial
effort
has
been
made
explore
complicated
biochemical
processes
involved
toxicology
aiming
identify
ways
or
eradicate
toxicity.
This
review
summarizes
reviews
updated
advances
toxicological
research
cisplatin.
We
anticipate
provide
insights
into
understanding
underlying
designing
comprehensive
therapeutic
strategies
involving
PROTEOMICS,
Journal Year:
2020,
Volume and Issue:
20(17-18)
Published: April 10, 2020
This
review
provides
a
brief
overview
of
the
development
data-independent
acquisition
(DIA)
mass
spectrometry-based
proteomics
and
selected
DIA
data
analysis
tools.
Various
schemes
for
are
summarized
first
including
Shotgun-CID,
DIA,
MSE
,
PAcIFIC,
AIF,
SWATH,
MSX,
SONAR,
WiSIM,
BoxCar,
Scanning
diaPASEF,
PulseDIA,
as
well
spectrometers
enabling
these
methods.
Next,
software
tools
classified
into
three
groups:
library-based
tools,
library-free
statistical
validation
The
approaches
reviewed
generating
spectral
libraries
six
which
tested
by
authors,
OpenSWATH,
Spectronaut,
Skyline,
PeakView,
DIA-NN,
EncyclopeDIA.
An
increasing
number
developed
DIA-Umpire,
Group-DIA,
PECAN,
PEAKS,
facilitate
identification
novel
proteoforms.
authors
share
their
user
experience
when
to
use
DIA-MS,
several
Finally,
state
art
spectrometry
authors'
views
future
directions
summarized.