Briefings in Bioinformatics,
Journal Year:
2020,
Volume and Issue:
22(2), P. 1706 - 1728
Published: Jan. 2, 2020
Circular
RNAs
(circRNAs)
are
a
unique
class
of
RNA
molecule
identified
more
than
40
years
ago
which
produced
by
covalent
linkage
via
back-splicing
linear
RNA.
Recent
advances
in
sequencing
technologies
and
bioinformatics
tools
have
led
directly
to
an
ever-expanding
field
types
biological
functions
circRNAs.
In
parallel
with
technological
developments,
practical
applications
circRNAs
arisen
including
their
utilization
as
biomarkers
human
disease.
Currently,
circRNA-associated
can
support
projects
circRNA
annotation,
identification
network
analysis
competing
endogenous
(ceRNA).
this
review,
we
collected
about
100
summarized
current
attributes
capabilities.
We
also
performed
text
mining
on
tool
publications
order
reveal
trends
ongoing
development.
Autophagy,
Journal Year:
2021,
Volume and Issue:
17(1), P. 1 - 382
Published: Jan. 2, 2021
In
2008,
we
published
the
first
set
of
guidelines
for
standardizing
research
in
autophagy.
Since
then,
this
topic
has
received
increasing
attention,
and
many
scientists
have
entered
field.
Our
knowledge
base
relevant
new
technologies
also
been
expanding.
Thus,
it
is
important
to
formulate
on
a
regular
basis
updated
monitoring
autophagy
different
organisms.
Despite
numerous
reviews,
there
continues
be
confusion
regarding
acceptable
methods
evaluate
autophagy,
especially
multicellular
eukaryotes.
Here,
present
investigators
select
interpret
examine
related
processes,
reviewers
provide
realistic
reasonable
critiques
reports
that
are
focused
these
processes.
These
not
meant
dogmatic
rules,
because
appropriateness
any
assay
largely
depends
question
being
asked
system
used.
Moreover,
no
individual
perfect
every
situation,
calling
use
multiple
techniques
properly
monitor
each
experimental
setting.
Finally,
several
core
components
machinery
implicated
distinct
autophagic
processes
(canonical
noncanonical
autophagy),
implying
genetic
approaches
block
should
rely
targeting
two
or
more
autophagy-related
genes
ideally
participate
steps
pathway.
Along
similar
lines,
proteins
involved
regulate
other
cellular
pathways
including
apoptosis,
all
them
can
used
as
specific
marker
bona
fide
responses.
critically
discuss
current
assessing
information
they
can,
cannot,
provide.
ultimate
goal
encourage
intellectual
technical
innovation
Signal Transduction and Targeted Therapy,
Journal Year:
2020,
Volume and Issue:
5(1)
Published: Aug. 5, 2020
Exosomes
are
extracellular
vesicles
secreted
by
most
eukaryotic
cells
and
participate
in
intercellular
communication.
The
components
of
exosomes,
including
proteins,
DNA,
mRNA,
microRNA,
long
noncoding
RNA,
circular
etc.,
which
play
a
crucial
role
regulating
tumor
growth,
metastasis,
angiogenesis
the
process
cancer
development,
can
be
used
as
prognostic
marker
and/or
grading
basis
for
patients.
Hereby,
we
mainly
summarized
followed:
exosome
contents
cancer,
focusing
on
proteins
RNA;
interaction
between
exosomes
microenvironment;
mechanisms
that
epithelial-mesenchymal
transition,
invasion
migration
affected
exosomes;
suppression
strategies
based
exosomes.
Finally,
application
potential
clinical
diagnosis
therapy
is
prospected,
providing
theoretical
supports
using
to
serve
precise
treatment
clinic.
Molecular Cancer,
Journal Year:
2020,
Volume and Issue:
19(1)
Published: Dec. 1, 2020
Circular
RNAs
(CircRNAs)
are
single-stranded,
covalently
closed
RNA
molecules
that
ubiquitous
across
species
ranging
from
viruses
to
mammals.
Important
advances
have
been
made
in
the
biogenesis,
regulation,
localization,
degradation
and
modification
of
circRNAs.
CircRNAs
exert
biological
functions
by
acting
as
transcriptional
regulators,
microRNA
(miR)
sponges
protein
templates.
Moreover,
emerging
evidence
has
revealed
a
group
circRNAs
can
serve
decoys,
scaffolds
recruiters.
However,
existing
research
on
circRNA-protein
interactions
is
quite
limited.
Hence,
this
review,
we
briefly
summarize
recent
progress
metabolism
elaborately
discuss
patterns
interactions,
including
altering
between
proteins,
tethering
or
sequestering
recruiting
proteins
chromatin,
forming
circRNA-protein-mRNA
ternary
complexes
translocating
redistributing
proteins.
Many
discoveries
unique
expression
signatures
play
crucial
roles
variety
diseases,
enabling
them
potentially
act
diagnostic
biomarkers
therapeutic
targets.
This
review
systematically
evaluates
mechanisms
circRNAs,
with
hope
advancing
translational
medicine
involving
Molecular Cancer,
Journal Year:
2020,
Volume and Issue:
19(1)
Published: May 12, 2020
Abstract
N6-methyladenosine
(m6A)
is
considered
the
most
common,
abundant,
and
conserved
internal
transcript
modification,
especially
in
eukaryotic
messenger
RNA
(mRNA).
m6A
installed
by
methyltransferases
(METTL3/14,
WTAP,
RBM15/15B,
VIRMA
ZC3H13,
termed
“writers”),
removed
demethylases
(FTO,
ALKBH5,
ALKBH3,
“erasers”),
recognized
m6A-binding
proteins
(YTHDC1/2,
YTHDF1/2/3,
IGF2BP1/2/3,
HNRNP,
eIF3,
“readers”).
Accumulating
evidence
suggests
that
methylation
greatly
impacts
metabolism
involved
pathogenesis
of
many
kinds
diseases,
including
cancers.
In
this
review,
we
focus
on
physiological
functions
modification
its
related
regulators,
as
well
potential
biological
roles
these
elements
human
tumors.
Briefings in Bioinformatics,
Journal Year:
2017,
Volume and Issue:
20(2), P. 515 - 539
Published: Sept. 15, 2017
Plenty
of
microRNAs
(miRNAs)
were
discovered
at
a
rapid
pace
in
plants,
green
algae,
viruses
and
animals.
As
one
the
most
important
components
cell,
miRNAs
play
growing
role
various
essential
biological
processes.
For
recent
few
decades,
amounts
experimental
methods
computational
models
have
been
designed
implemented
to
identify
novel
miRNA-disease
associations.
In
this
review,
functions
miRNAs,
miRNA-target
interactions,
associations
some
publicly
available
miRNA-related
databases
discussed
detail.
Specially,
considering
fact
that
an
increasing
number
experimentally
confirmed,
we
selected
five
human
diseases
crucial
disease-related
provided
corresponding
introductions.
Identifying
has
become
goal
biomedical
research,
which
will
accelerate
understanding
disease
pathogenesis
molecular
level
tools
design
for
diagnosis,
treatment
prevention.
Computational
means
association
identification,
could
select
promising
pairs
validation
significantly
reduce
time
cost
experiments.
Here,
reviewed
20
state-of-the-art
predicting
from
different
perspectives.
Finally,
summarized
four
factors
difficulties
potential
framework
constructing
powerful
predict
including
feasible
research
schemas,
future
directions
further
development
models.
Journal of Hematology & Oncology,
Journal Year:
2019,
Volume and Issue:
12(1)
Published: Nov. 22, 2019
Abstract
N6-methyladenosine
(m6A)
methylation,
one
of
the
most
common
RNA
modifications,
has
been
reported
to
execute
important
functions
that
affect
normal
life
activities
and
diseases.
Most
studies
have
suggested
m6A
modification
can
complexity
cancer
progression
by
regulating
biological
related
cancer.
M6A
noncoding
RNAs
regulates
cleavage,
transport,
stability,
degradation
themselves.
It
also
cell
proliferation
metastasis,
stem
differentiation,
homeostasis
in
affecting
function
cells.
Interestingly,
play
significant
roles
these
modifications.
Additionally,
it
is
becoming
increasingly
clear
potentially
contribute
clinical
application
treatment.
In
this
review,
we
summarize
effect
interactions
between
modifications
on
involved
progression.
particular,
discuss
role
as
possible
potential
biomarkers
therapeutic
targets
treatment
cancers.