Nature Biotechnology,
Год журнала:
2023,
Номер
42(1), С. 72 - 86
Опубликована: Апрель 6, 2023
Transfer
RNAs
(tRNAs)
play
a
central
role
in
protein
translation.
Studying
them
has
been
difficult
part
because
simple
method
to
simultaneously
quantify
their
abundance
and
chemical
modifications
is
lacking.
Here
we
introduce
Nano-tRNAseq,
nanopore-based
approach
sequence
native
tRNA
populations
that
provides
quantitative
estimates
of
both
abundances
modification
dynamics
single
experiment.
We
show
default
nanopore
sequencing
settings
discard
the
vast
majority
reads,
leading
poor
yields
biased
representations
based
on
transcript
length.
Re-processing
raw
current
intensity
signals
leads
12-fold
increase
number
recovered
reads
enables
recapitulation
accurate
abundances.
then
apply
Nano-tRNAseq
Saccharomyces
cerevisiae
populations,
revealing
crosstalks
interdependencies
between
different
types
within
same
molecule
changes
response
oxidative
stress.
Cancer Letters,
Год журнала:
2020,
Номер
474, С. 127 - 137
Опубликована: Янв. 25, 2020
Although
cancer
was
originally
considered
a
disease
driven
only
by
genetic
mutations,
it
has
now
been
proven
that
is
also
an
epigenetic
DNA
hypermethylation-associated
silencing
of
tumor
suppressor
genes
and
aberrant
histone
modifications.
Very
recently,
third
component
emerged:
the
so-called
epitranscriptome
understood
as
chemical
modifications
RNA
regulate
alter
activity
molecules.
In
this
regard,
study
disruption
RNA-modifying
proteins
gaining
momentum
in
advancing
our
understanding
biology.
Furthermore,
development
epitranscriptomic
anticancer
drugs
could
lead
to
new
promising
unexpected
therapeutic
strategies
for
oncology
coming
years.
Nature Biotechnology,
Год журнала:
2023,
Номер
42(1), С. 72 - 86
Опубликована: Апрель 6, 2023
Transfer
RNAs
(tRNAs)
play
a
central
role
in
protein
translation.
Studying
them
has
been
difficult
part
because
simple
method
to
simultaneously
quantify
their
abundance
and
chemical
modifications
is
lacking.
Here
we
introduce
Nano-tRNAseq,
nanopore-based
approach
sequence
native
tRNA
populations
that
provides
quantitative
estimates
of
both
abundances
modification
dynamics
single
experiment.
We
show
default
nanopore
sequencing
settings
discard
the
vast
majority
reads,
leading
poor
yields
biased
representations
based
on
transcript
length.
Re-processing
raw
current
intensity
signals
leads
12-fold
increase
number
recovered
reads
enables
recapitulation
accurate
abundances.
then
apply
Nano-tRNAseq
Saccharomyces
cerevisiae
populations,
revealing
crosstalks
interdependencies
between
different
types
within
same
molecule
changes
response
oxidative
stress.