Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 20, 2025
Mental
disorders
are
a
representative
type
of
brain
disorder,
including
anxiety,
major
depressive
depression
(MDD),
and
autism
spectrum
disorder
(ASD),
that
caused
by
multiple
etiologies,
genetic
heterogeneity,
epigenetic
dysregulation,
aberrant
morphological
biochemical
conditions.
Psychedelic
drugs
such
as
psilocybin
lysergic
acid
diethylamide
(LSD)
have
been
renewed
fascinating
treatment
options
gradually
demonstrated
potential
therapeutic
effects
in
mental
disorders.
However,
the
multifaceted
conditions
psychiatric
resulting
from
individuality,
complex
interplay,
intricate
neural
circuits
impact
systemic
pharmacology
psychedelics,
which
disturbs
integration
mechanisms
may
result
dissimilar
medicinal
efficiency.
The
precise
prescription
psychedelic
remains
unclear,
advanced
approaches
needed
to
optimize
drug
development.
Here,
recent
studies
demonstrating
diverse
pharmacological
psychedelics
reviewed,
emerging
perspectives
on
structural
function,
microbiota-gut-brain
axis,
transcriptome
discussed.
Moreover,
applicability
deep
learning
is
highlighted
for
development
basis
big
data.
These
provide
insight
into
interindividual
factors
enhance
discovery
precision
medicine.
Nature Aging,
Journal Year:
2024,
Volume and Issue:
4(6), P. 871 - 885
Published: May 9, 2024
Abstract
Aging
clocks
have
provided
one
of
the
most
important
recent
breakthroughs
in
biology
aging,
and
may
provide
indicators
for
effectiveness
interventions
aging
process
preventive
treatments
age-related
diseases.
The
reproducibility
accurate
has
reinvigorated
debate
on
whether
a
programmed
underlies
aging.
Here
we
show
that
accumulating
stochastic
variation
purely
simulated
data
is
sufficient
to
build
clocks,
first-generation
second-generation
are
compatible
with
accumulation
DNA
methylation
or
transcriptomic
data.
We
find
predict
chronological
biological
age,
indicated
by
significant
prediction
differences
smoking,
calorie
restriction,
heterochronic
parabiosis
partial
reprogramming.
Although
our
simulations
not
explicitly
rule
out
process,
results
suggest
stochastically
changes
any
set
ground
state
at
age
zero
generating
clocks.
Biomarker Research,
Journal Year:
2024,
Volume and Issue:
12(1)
Published: Sept. 27, 2024
Abstract
Cells,
as
the
fundamental
units
of
life,
contain
multidimensional
spatiotemporal
information.
Single-cell
RNA
sequencing
(scRNA-seq)
is
revolutionizing
biomedical
science
by
analyzing
cellular
state
and
intercellular
heterogeneity.
Undoubtedly,
single-cell
transcriptomics
has
emerged
one
most
vibrant
research
fields
today.
With
optimization
innovation
technologies,
intricate
details
concealed
within
cells
are
gradually
unveiled.
The
combination
scRNA-seq
other
multi-omics
at
forefront
field.
This
involves
simultaneously
measuring
various
omics
data
individual
cells,
expanding
our
understanding
across
a
broader
spectrum
dimensions.
precisely
captures
aspects
transcriptomes,
immune
repertoire,
spatial
information,
temporal
epitopes,
in
diverse
contexts.
In
addition
to
depicting
cell
atlas
normal
or
diseased
tissues,
it
also
provides
cornerstone
for
studying
differentiation
development
patterns,
disease
heterogeneity,
drug
resistance
mechanisms,
treatment
strategies.
Herein,
we
review
traditional
technologies
outline
latest
advancements
multi-omics.
We
summarize
current
status
challenges
applying
biological
clinical
applications.
Finally,
discuss
limitations
potential
strategies
address
them.
Trends in Genetics,
Journal Year:
2024,
Volume and Issue:
40(8), P. 642 - 667
Published: Aug. 1, 2024
Genome-wide
association
studies
(GWASs)
have
identified
numerous
genetic
loci
associated
with
human
traits
and
diseases.
However,
pinpointing
the
causal
genes
remains
a
challenge,
which
impedes
translation
of
GWAS
findings
into
biological
insights
medical
applications.
In
this
review,
we
provide
an
in-depth
overview
methods
technologies
used
for
prioritizing
from
loci,
including
gene-based
tests,
integrative
analysis
molecular
quantitative
trait
(xQTL)
data,
linking
variants
to
target
through
enhancer-gene
connection
maps,
network-based
prioritization.
We
also
outline
strategies
generating
context-dependent
xQTL
data
their
applications
in
gene
further
highlight
potential
prioritization
drug
repurposing.
Lastly,
discuss
future
challenges
opportunities
field.
Frontiers in Immunology,
Journal Year:
2025,
Volume and Issue:
16
Published: Feb. 20, 2025
Diabetes
mellitus
(DM)
is
a
global
health
crisis
affecting
millions,
with
islet
transplantation
emerging
as
promising
treatment
strategy
to
restore
insulin
production.
This
review
synthesizes
the
current
research
on
single-cell
and
spatial
transcriptomics
in
context
of
transplantation,
highlighting
their
potential
revolutionize
DM
management.
Single-cell
RNA
sequencing,
offers
detailed
look
into
diversity
functionality
within
grafts,
identifying
specific
cell
types
states
that
influence
graft
acceptance
function.
Spatial
complements
this
by
mapping
gene
expression
tissue's
context,
crucial
for
understanding
microenvironment
surrounding
transplanted
islets
interactions
host
tissues.
The
integration
these
technologies
comprehensive
view
cellular
microenvironments,
elucidating
mechanisms
underlying
function,
survival,
rejection.
instrumental
developing
targeted
therapies
enhance
performance
patient
outcomes.
emphasizes
significance
avenues
informing
clinical
practices
improving
outcomes
patients
through
more
effective
strategies.
Future
directions
include
application
personalized
medicine,
developmental
biology,
regenerative
predict
disease
progression
responses.
Addressing
ethical
technical
challenges
will
be
successful
implementation
integrated
approaches
practice,
ultimately
enhancing
our
ability
manage
improve
quality
life.
Trends in Genetics,
Journal Year:
2023,
Volume and Issue:
40(1), P. 83 - 93
Published: Nov. 10, 2023
Recent
technological
and
algorithmic
advances
enable
single-cell
transcriptomic
analysis
with
remarkable
depth
breadth.
Nonetheless,
a
persistent
challenge
is
the
compromise
between
ability
to
profile
high
numbers
of
cells
achievement
full-length
transcript
coverage.
Currently,
field
progressing
developing
new
creative
solutions
that
improve
cellular
throughput,
gene
detection
sensitivity
capture.
Furthermore,
long-read
sequencing
approaches
for
transcripts
are
breaking
frontiers
have
previously
blocked
full
transcriptome
characterization.
We
here
present
comprehensive
overview
available
options
profiling,
highlighting
key
advantages
disadvantages
each
approach.
