Salivary Biomarkers in Breast Cancer: From Salivaomics to Salivaoncoomics
Frontiers in Bioscience-Landmark,
Год журнала:
2024,
Номер
29(7)
Опубликована: Июль 17, 2024
Saliva
is
a
promising
biological
fluid
for
the
diagnosis
and
monitoring
of
diseases,
including
breast
cancer.
To
study
composition
saliva,
complex
"omics"
technologies
used:
genomics,
transcriptomics,
proteomics,
metabolomics
microbiomics.
In
this
review,
we
systematized
all
known
in
their
application
to
saliva
analysis
cancer
order
understand
how
complete
picture
provided
by
combination
different
areas
research
identify
missing
links.
It
has
been
shown
that
studies
are
chaotic
unsystematic.
Inconsistency
sample
sizes
high
heterogeneity
were
identified.
The
main
tasks
need
be
solved
harmonious
development
salivaomics
new
direction-"salivaonkoomics"
formulated.
Thus,
it
necessary
systematize
unify
biomarkers
within
each
area
"omics",
size
its
homogeneity,
list
methods
approaches,
biomarkers,
reproducibility
results,
ability
transfer
results
other
samples.
important
expand
number
components
adding
(for
example,
spectralomics,
etc.),
as
well
studying
relationships
between
(interactomics).
All
together
will
allow
not
only
but
also
many
pathologies
qualitatively
level.
Язык: Английский
Structural characteristics and anti-tumor activity of alcohol-precipitated polysaccharides from Cordyceps militaris under different ethanol concentrations
International Journal of Biological Macromolecules,
Год журнала:
2024,
Номер
278, С. 134784 - 134784
Опубликована: Авг. 14, 2024
Язык: Английский
Recent Advances in Mass Spectrometry-based Protein Interactome Studies
Molecular & Cellular Proteomics,
Год журнала:
2024,
Номер
unknown, С. 100887 - 100887
Опубликована: Ноя. 1, 2024
Язык: Английский
AlphaPulldown2 – A General Pipeline for High-Throughput Structural Modeling
bioRxiv (Cold Spring Harbor Laboratory),
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 3, 2024
Abstract
AlphaPulldown2
streamlines
protein
structural
modeling
by
automating
workflows,
improving
code
adaptability,
and
optimizing
data
management
for
large-scale
applications.
It
introduces
an
automated
Snakemake
pipeline,
compressed
storage,
support
additional
backends
like
UniFold
AlphaLink2,
a
range
of
other
improvements.
These
upgrades
make
versatile
platform
predicting
both
binary
interactions
complex
multi-unit
assemblies.
Availability
is
freely
available
at
https://github.com/KosinskiLab/AlphaPulldown
.
Язык: Английский