Artificial miRNAs and target-mimics as potential tools for crop improvement
Physiology and Molecular Biology of Plants,
Journal Year:
2025,
Volume and Issue:
31(1), P. 67 - 91
Published: Jan. 1, 2025
Language: Английский
Deciphering the epigenetic role of long non‐coding RNAs in mood disorders: Focus on human brain studies
Bhaskar Roy,
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Anuj Kumar Verma,
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Yu Funahashi
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et al.
Clinical and Translational Medicine,
Journal Year:
2025,
Volume and Issue:
15(3)
Published: March 1, 2025
Language: Английский
Involvement of Toxoplasma gondii natural antisense transcripts in cellular stress responses.
Yong Gou,
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Luis Vallejo,
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Ana Podadera
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et al.
Experimental Parasitology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 108931 - 108931
Published: March 1, 2025
Language: Английский
Noncoding RNAs in nuclear organization
Thembalami Dube,
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Dawn M. Carone
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Nucleus,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: March 13, 2025
Language: Английский
Identification of long noncoding RNAs (lncRNAs) and co-transcriptional analysis of mRNAs and lncRNAs in transcriptomes of Anopheles gambiae
Frontiers in RNA Research,
Journal Year:
2025,
Volume and Issue:
3
Published: April 15, 2025
Introduction
Anopheles
gambiae
is
a
primary
malaria
vector
mosquito
in
Africa.
RNA-seq
based
transcriptome
analysis
has
been
widely
used
to
study
gene
expression
underlying
life
traits
such
as
development,
reproduction,
immunity,
metabolism,
and
behavior.
While
it
appreciated
that
long
non-coding
RNAs
(lncRNAs)
are
expressed
ubiquitously
transcriptomes
across
metazoans,
lncRNAs
remain
relatively
underexplored
An.
gambiae,
including
their
identity,
profiles,
biological
functions.
The
lncRNA
genes
were
poorly
annotated
the
current
reference
of
PEST
genome
gambiae.
In
this
study,
set
publicly
available
datasets
was
leveraged
identify
diverse
contexts,
whole
mosquitoes,
cells
tissues
(such
hemocytes,
midguts,
salivary
glands),
well
under
various
physiological
conditions
(e.g.,
sugar-feeding,
blood-feeding,
bacterial
challenges,
Plasmodium
infections).
Methods
A
Transcript
Discovery
module
implemented
CLC
genomics
workbench
from
selected
published
datasets.
Results
Across
pool
transcriptomes,
2684
unique
genes,
comprising
4082
transcripts,
identified.
Following
identification,
these
integrated
into
annotation,
which
served
for
analyzing
both
mRNAs
transcriptional
dynamics
conditions.
Unsurprisingly,
similar
what
reported
mRNAs,
exhibited
context-dependent
patterns.
Co-expression
networks
constructed
using
weighted
co-expression
network
(WGCNA)
highlighted
interconnections
among
provide
potential
functional
involved.
Furthermore,
we
identified
polysome-associated
within
polysome-captured
suggesting
likely
involved
translation
regulation
contribute
coding
capacity
micropeptides.
ChIP-seq
dataset
revealed
correlation
between
activities
observed
epigenetic
signatures.
Discussion
Overall,
our
demonstrated
transcribed
alongside
contexts.
genome-wide
annotation
integration
enable
simultaneous
co-analysis
mRNA
lncRNA,
will
enhance
understanding
functions
shed
light
on
regulatory
roles
biology.
Language: Английский
Pseudogene: Relevant or Irrelevant?
Yang-Hsiang Lin,
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Chau‐Ting Yeh,
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Cheng‐Yi Chen
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et al.
Biomedical Journal,
Journal Year:
2024,
Volume and Issue:
unknown, P. 100790 - 100790
Published: Sept. 1, 2024
Language: Английский
Characterization of N6-methyladenosine long non-coding RNAs in sporadic congenital cataract and age-related cataract
International Journal of Ophthalmology,
Journal Year:
2024,
Volume and Issue:
17(11), P. 1973 - 1986
Published: Oct. 23, 2024
AIM:
To
characterize
the
N6-methyladenosine
(m6A)
modification
patterns
in
long
non-coding
RNAs
(lncRNAs)
sporadic
congenital
cataract
(CC)
and
age-related
(ARC).
METHODS:
Anterior
capsule
of
lens
were
collected
from
patients
with
CC
ARC.
Methylated
RNA
immunoprecipitation
next-generation
sequencing
performed
to
identify
m6A-tagged
lncRNAs
expression.
Kyoto
Encyclopedia
Genes
Genomes
pathway
enrichment
analyses
Gene
Ontology
annotation
used
predict
potential
functions
m6A-lncRNAs.
RESULTS:
Large
amount
m6A
peaks
within
lncRNA
identified
for
both
ARC,
while
level
was
much
higher
ARC
(49
870
peaks)
than
that
(18
688
peaks),
yet
those
difference
between
younger
age
group
(ARC-1)
elder
(ARC-2)
quite
slight.
A
total
1305
hypermethylated
1178
hypomethylated
lncRNAs,
as
well
182
differential
expressed
exhibited
compared
CC.
On
other
hand,
5893
5213
155
significantly
altered
ARC-2
ARC-1.
Altered
mainly
associated
organization
biogenesis
intracellular
organelles,
nucleotide
excision
repair.
CONCLUSION:
Our
results
first
time
present
an
overview
methylomes
providing
a
solid
basis
uncovering
new
insight
reveal
pathogenic
mechanism
Language: Английский