Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 22, 2023
Abstract
Since
its
isolation,
SARS-Cov2
showed
a
high
mutation
rate
hindering
the
ability
to
properly
characterize
it.
Also
as
consequence
of
size,
traditional
sequence
analysis
methods
are
computationally
constrained.
Nonetheless,
machine
learning
technologies
and
particularly
deep
offer
viable
scalable
solution
analysis.
Applying
variational
autoencoders
(VAEs),
special
kind
neural
network
used
for
unsupervised
learning,
custom
genomic
representations
cluster
genomes
by
similarity.
The
resulting
learned
representation
sorts
sunshine
duration
(SD)
change
(SDRC)
other
solar-derived
features.
transition
between
clusters
is
characterized
changes
in
viral
genome
size.
Different
deletions
can
be
found
throughout
genome.
Deletions
might
behave
an
internal
clock
inside
Or
adaptation
mechanism
seasonal
variations
solar
radiation.
As
follows
SDRC
COVID-19
cases
could
also
follow
same
pattern.
However,
spherical
geometry
our
planet
adds
confounding
variable
Spherical
correction
dynamic
fractional
differentiation
SD
synchronizes
into
single
period.
This
results
general
coordinate
system
that
shows
seasonality
disease
allows
us
analyze
impact
environmental
Atmospheric
affect
radiation
such
ozone
column
cloudiness
gradients
correlation
with
cases.
Analyzing
composition
(amount
each
specific
nucleotide)
time
series
displays
attractor-like
behavior
under
different
scales.
Oscillations
explain
efficacy
antiviral
treatments
through
pandemic.
To
further
expand
prediction
capability
model
set
features
added
targets
supervised
task.
Allowing
correlate
composition.
Genome
sorting
obtained
two-dimensional
appears
only
one
dimension
encodes
temporal
variable.
show
interaction
host
or
particular
tissue
virus.
VAE
modified
fit
predator-prey
using
observations
model.
Retrieved
dynamics
transitory
phase
similar
incubation
time.
characterization
needed
accurately
interpret
those
results.
Under
system,
mutations
adaptations
regular
deterministic
If
result
means
copy
codon
usage
bias(CUB)
it
likely
expression
compositionally
genes.
Selection
highly
transcripts
isolation
genes
whose
dysregulation
matches
some
symptoms
reported
post-acute
sequelae
long
Covid.
Also,
regulate
circadian
rhythm
expressed
at
periods
prevalence.
Copying
optimizing
towards
host's
CUB
will
increase
probability
virus
significant
fragment
protein
leading
autoimmunity.
Dysregulation
solar-based
regulation
variability
random-like
post
acute
phase.
Further
development
techniques
help
better
understand
pathogenic
organisms.
Life Science Alliance,
Journal Year:
2024,
Volume and Issue:
7(11), P. e202402764 - e202402764
Published: Aug. 29, 2024
Mitochondrial
gene
expression
is
a
compartmentalised
process
essential
for
metabolic
function.
The
replication
and
transcription
of
mitochondrial
DNA
(mtDNA)
take
place
at
nucleoids,
whereas
the
subsequent
processing
maturation
RNA
(mtRNA)
mitoribosome
assembly
are
localised
to
granules.
bidirectional
circular
mtDNA
can
lead
hybridisation
polycistronic
transcripts
formation
immunogenic
double-stranded
(mt-dsRNA).
However,
mechanisms
that
regulate
mt-dsRNA
localisation
homeostasis
largely
unknown.
With
super-resolution
microscopy,
we
show
overlaps
with
core
associated
proteins
granules
but
not
nucleoids.
Mt-dsRNA
foci
accumulate
upon
stimulation
cell
proliferation
their
abundance
depends
on
ribonucleotide
supply
by
nucleoside
diphosphate
kinase,
NME6.
Consequently,
profuse
in
cultured
cancer
cells
malignant
human
tumour
biopsies.
Our
results
establish
new
link
between
nucleic
acid
homeostasis.
International Journal of Molecular Sciences,
Journal Year:
2024,
Volume and Issue:
25(17), P. 9580 - 9580
Published: Sept. 4, 2024
NME6
belongs
to
the
family
of
nucleoside
diphosphate
kinase
enzymes,
whose
major
role
is
transfer
terminal
phosphate
from
NTPs,
mostly
ATP,
other
(d)NDPs
via
a
high-energy
intermediate.
Beside
this
basic
enzymatic
activity,
family,
comprising
10
genes/proteins
in
humans,
executes
number
diverse
biochemical/biological
functions
cell.
A
few
previous
studies
have
reported
that
resides
mitochondria
and
influences
oxidative
phosphorylation
while
interacting
with
RCC1L,
GTPase
involved
mitochondrial
ribosome
assembly
translation.
Considering
multifunctional
NME
members,
goal
present
study
was
assess
influence
overexpression
or
silencing
on
fundamental
cellular
events
MDA-MB-231T
metastatic
breast
cancer
cells.
Using
flow
cytometry,
Western
blotting,
wound-healing
assay,
we
demonstrated
reduces
cell
migration
alters
expression
EMT
(epithelial–mesenchymal
transition)
markers.
In
addition,
cycle
distribution
exclusively
upon
DNA
damage
impacts
MAPK/ERK
signaling
pathway,
it
has
no
effect
apoptosis.
To
conclude,
our
results
demonstrate
different
processes,
providing
solid
basis
for
future,
more
precise
investigations
its
role.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: June 26, 2023
Abstract
Since
its
isolation
in
Wuhan
SARS-Cov2
showed
a
high
mutation
rate
hindering
the
ability
to
properly
characterize.
Also
as
consequence
of
size,
traditional
sequence
analysis
methods
were
computationally
constrained.
However,
applying
variational
autoencoders
(VAEs)
custom
representations
results
series
clusters
sorted
by
sunshine
duration
(SD)
change
(SDRC)
and
other
solar-derived
features.
The
transition
between
is
characterized
changes
viral
genome
apparent
deletions
can
be
found
throughout
genome.
This
might
behave
an
internal
clock
inside
SDRC-derived
features
synchronize
COVID-19
cases
into
single
period.
Both
solar
correlate
with
pointing
towards
solar-dependent
seasonality.
Atmospheric
that
affect
radiation
also
correlation
cases.
Analyzing
composition
time
displays
attractor-like
behavior
under
different
scales.
While
clustering
them
environmental
conditions
shows
similar
pattern
one
VAE
models.
Further
development
techniques
will
help
us
better
understand
seasonality
adaptation
pathogenic
organisms.
Research Square (Research Square),
Journal Year:
2023,
Volume and Issue:
unknown
Published: Aug. 22, 2023
Abstract
Since
its
isolation,
SARS-Cov2
showed
a
high
mutation
rate
hindering
the
ability
to
properly
characterize
it.
Also
as
consequence
of
size,
traditional
sequence
analysis
methods
are
computationally
constrained.
Nonetheless,
machine
learning
technologies
and
particularly
deep
offer
viable
scalable
solution
analysis.
Applying
variational
autoencoders
(VAEs),
special
kind
neural
network
used
for
unsupervised
learning,
custom
genomic
representations
cluster
genomes
by
similarity.
The
resulting
learned
representation
sorts
sunshine
duration
(SD)
change
(SDRC)
other
solar-derived
features.
transition
between
clusters
is
characterized
changes
in
viral
genome
size.
Different
deletions
can
be
found
throughout
genome.
Deletions
might
behave
an
internal
clock
inside
Or
adaptation
mechanism
seasonal
variations
solar
radiation.
As
follows
SDRC
COVID-19
cases
could
also
follow
same
pattern.
However,
spherical
geometry
our
planet
adds
confounding
variable
Spherical
correction
dynamic
fractional
differentiation
SD
synchronizes
into
single
period.
This
results
general
coordinate
system
that
shows
seasonality
disease
allows
us
analyze
impact
environmental
Atmospheric
affect
radiation
such
ozone
column
cloudiness
gradients
correlation
with
cases.
Analyzing
composition
(amount
each
specific
nucleotide)
time
series
displays
attractor-like
behavior
under
different
scales.
Oscillations
explain
efficacy
antiviral
treatments
through
pandemic.
To
further
expand
prediction
capability
model
set
features
added
targets
supervised
task.
Allowing
correlate
composition.
Genome
sorting
obtained
two-dimensional
appears
only
one
dimension
encodes
temporal
variable.
show
interaction
host
or
particular
tissue
virus.
VAE
modified
fit
predator-prey
using
observations
model.
Retrieved
dynamics
transitory
phase
similar
incubation
time.
characterization
needed
accurately
interpret
those
results.
Under
system,
mutations
adaptations
regular
deterministic
If
result
means
copy
codon
usage
bias(CUB)
it
likely
expression
compositionally
genes.
Selection
highly
transcripts
isolation
genes
whose
dysregulation
matches
some
symptoms
reported
post-acute
sequelae
long
Covid.
Also,
regulate
circadian
rhythm
expressed
at
periods
prevalence.
Copying
optimizing
towards
host's
CUB
will
increase
probability
virus
significant
fragment
protein
leading
autoimmunity.
Dysregulation
solar-based
regulation
variability
random-like
post
acute
phase.
Further
development
techniques
help
better
understand
pathogenic
organisms.