The Journal of Immunology,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 24, 2025
Natural
killer
(NK)
cell
activation
is
regulated
by
immunoglobulin-like
receptors
(KIRs)
that
recognize
human
leukocyte
antigen
(HLA)
class
I
molecules.
While
polymorphism
in
HLA
can
directly
impact
these
interactions,
the
extent
to
which
HLA-associated
peptide
repertoire
modulates
NK
function
less
well
understood.
Therefore,
requirements
for
recognition
of
2
ligands,
HLA-B*57:01
and
HLA-A*24:02,
share
similar
KIR3DL1
binding
residues
but
differ
their
capacity
inhibit
cells
were
assessed.
Immunopeptidome
functional
analyses
endogenous
peptides
associated
with
each
allotype
showed
both
repertoires
contained
capable
facilitating
or
impairing
KIR3DL1-dependent
target
cells.
distinct
sequence
features
at
positions
7
8
bound
similarly
impacted
allotypes,
remained
a
more
potent
ligand
overall.
In
silico
suggested
most
presented
would
facilitate
engagement,
whereas
HLA-A*24:02
possessed
fewer
predicted
support
strong
recognition.
Nevertheless,
exogenous
addition
highly
permissive
expressing
could
bolster
KIR3DL1-mediated
inhibition
peptide-competent
levels
seen
HLA-B*57:01.
Together,
data
indicate
allotypic
differences
KIR
suggest
have
potential
sense
infection-
transformation-induced
perturbations,
particularly
when
intrinsic
KIR/HLA
interactions
are
modest
avidity.
Cell Host & Microbe,
Journal Year:
2021,
Volume and Issue:
29(7), P. 1124 - 1136.e11
Published: June 15, 2021
Many
SARS-CoV-2
variants
with
naturally
acquired
mutations
have
emerged.
These
can
affect
viral
properties
such
as
infectivity
and
immune
resistance.
Although
the
sensitivity
of
occurring
to
humoral
immunity
has
been
investigated,
human
leukocyte
antigen
(HLA)-restricted
cellular
remains
largely
unexplored.
Here,
we
demonstrate
that
two
recently
emerging
in
receptor-binding
domain
spike
protein,
L452R
(in
B.1.427/429
B.1.617)
Y453F
B.1.1.298),
confer
escape
from
HLA-A24-restricted
immunity.
reinforce
affinity
toward
host
entry
receptor
ACE2.
Notably,
mutation
increases
stability,
infectivity,
fusogenicity,
thereby
promotes
replication.
data
suggest
HLA-restricted
potentially
affects
evolution
phenotypes
a
further
threat
pandemic
is
Proceedings of the National Academy of Sciences,
Journal Year:
2018,
Volume and Issue:
115(52)
Published: Dec. 12, 2018
Significance
This
work
shows
that
the
amidated
terminal
ends
of
secreted
hypocretin
(HCRT)
peptides
(HCRT
NH2
)
are
autoantigens
in
type
1
narcolepsy,
an
autoimmune
disorder
targeting
HCRT
neurons.
The
process
is
usually
initiated
by
influenza
A
flu
infections,
and
a
particular
piece
hemagglutinin
(HA)
protein
pandemic
2009
H1N1
strain
was
identified
as
likely
trigger.
HA
epitope
has
homology
with
T
cells
cross-reactive
to
both
epitopes
involved
molecular
mimicry.
Genes
associated
narcolepsy
mark
HLA
heterodimer
(DQ0602)
presentation
these
antigens
modulate
expression
specific
cell
receptor
segments
(TRAJ24
TRBV4-2)
recognition
antigens,
suggesting
causality.
Communications Biology,
Journal Year:
2021,
Volume and Issue:
4(1)
Published: Sept. 10, 2021
Abstract
Prediction
of
T-cell
receptor
(TCR)
interactions
with
MHC-peptide
complexes
remains
highly
challenging.
This
challenge
is
primarily
due
to
three
dominant
factors:
data
accuracy,
scarceness,
and
problem
complexity.
Here,
we
showcase
that
“shallow”
convolutional
neural
network
(CNN)
architectures
are
adequate
deal
the
complexity
imposed
by
length
variations
TCRs.
We
demonstrate
current
public
bulk
CDR3β-pMHC
binding
overall
low
quality
development
accurate
prediction
models
contingent
on
paired
α/β
TCR
sequence
corresponding
at
least
150
distinct
pairs
for
each
investigated
pMHC.
In
comparison,
trained
CDR3α
or
CDR3β
alone
demonstrated
a
variable
pMHC
specific
relative
performance
drop.
Together
these
findings
support
specificity
predictable
given
availability
sufficient
data.
NetTCR-2.0
publicly
available
https://services.healthtech.dtu.dk/service.php?NetTCR-2.0
.
Signal Transduction and Targeted Therapy,
Journal Year:
2023,
Volume and Issue:
8(1)
Published: March 7, 2023
Abstract
Cancer
immunotherapy,
mainly
including
immune
checkpoints-targeted
therapy
and
the
adoptive
transfer
of
engineered
cells,
has
revolutionized
oncology
landscape
as
it
utilizes
patients’
own
systems
in
combating
cancer
cells.
cells
escape
surveillance
by
hijacking
corresponding
inhibitory
pathways
via
overexpressing
checkpoint
genes.
Phagocytosis
checkpoints,
such
CD47,
CD24,
MHC-I,
PD-L1,
STC-1
GD2,
have
emerged
essential
checkpoints
for
immunotherapy
functioning
“don’t
eat
me”
signals
or
interacting
with
“eat
to
suppress
responses.
link
innate
immunity
adaptive
immunotherapy.
Genetic
ablation
these
phagocytosis
well
blockade
their
signaling
pathways,
robustly
augments
reduces
tumor
size.
Among
all
CD47
is
most
thoroughly
studied
a
rising
star
among
targets
treatment.
CD47-targeting
antibodies
inhibitors
been
investigated
various
preclinical
clinical
trials.
However,
anemia
thrombocytopenia
appear
be
formidable
challenges
since
ubiquitously
expressed
on
erythrocytes.
Here,
we
review
reported
discussing
mechanisms
functions
highlight
progress
targeting
discuss
potential
solutions
smooth
way
combination
immunotherapeutic
strategies
that
involve
both
Frontiers in Immunology,
Journal Year:
2022,
Volume and Issue:
13
Published: June 16, 2022
γδ
T-cells
directly
recognize
and
kill
transformed
cells
independently
of
HLA-antigen
presentation,
which
makes
them
a
highly
promising
effector
cell
compartment
for
cancer
immunotherapy.
Novel
T-cell-based
immunotherapies,
primarily
focusing
on
the
two
major
T-cell
subtypes
that
infiltrate
tumors
(
i.e.
Vδ1
Vδ2),
are
being
developed.
The
subset
is
enriched
in
tissues
contains
both
as
well
regulatory
with
tumor-promoting
potential.
Vδ2
T-cells,
contrast,
circulation
consist
large,
relatively
homogeneous,
pro-inflammatory
subset.
Healthy
individuals
typically
harbor
order
50-500
million
Vγ9Vδ2
peripheral
blood
alone
(1-10%
total
CD3
+
population),
can
rapidly
expand
upon
stimulation.
receptor
senses
intracellular
phosphorylated
metabolites,
accumulate
result
mevalonate
pathway
dysregulation
or
pharmaceutical
intervention.
Early
clinical
studies
investigating
therapeutic
potential
were
based
either
ex
vivo
expansion
adoptive
transfer
their
systemic
activation
aminobisphosphonates
synthetic
phosphoantigens,
combined
low
dose
IL-2.
Immune-related
adverse
events
(irAE)
generally
\mild,
but
efficacy
these
approaches
provided
overall
limited
benefit.
In
recent
years,
critical
advances
have
renewed
excitement
Here,
we
review
strategies
discuss
prospects
those
currently
evaluated
patients
future
therapies
might
arise
from
current
pre-clinical
results.
Frontiers in Immunology,
Journal Year:
2021,
Volume and Issue:
12
Published: April 26, 2021
Predicting
the
binding
specificity
of
T
Cell
Receptors
(TCR)
to
MHC-peptide
complexes
(pMHCs)
is
essential
for
development
repertoire-based
biomarkers.
This
affinity
may
be
affected
by
different
components
TCR,
peptide,
and
MHC
allele.
Historically,
main
element
used
in
TCR-peptide
prediction
was
Complementarity
Determining
Region
3
(CDR3)
beta
chain.
However,
recently
contribution
other
components,
such
as
alpha
chain
V
gene
CDRs
has
been
suggested.
We
use
a
highly
accurate
novel
deep
learning-based
predictor
assess
each
component
binding.We
have
previously
developed
ERGO-I
(pEptide
tcR
matchinG
predictiOn),
sequence-based
T-cell
receptor
(TCR)-peptide
that
employs
natural
language
processing
(NLP)
-based
methods.
improved
it
create
ERGO-II
adding
CDR3
segment,
typing,
J
genes,
cell
type
(CD4+
or
CD8+)
predictor.
then
estimate
prediction.ERGO-II
provides
first
time
high
accuracy
unseen
peptides.
For
most
tested
peptides
all
measures
accuracy,
from
sequence,
followed
chain,
order.
The
allele
least
contributing
component.
accessible
webserver
at
http://tcr2.cs.biu.ac.il/
standalone
code
https://github.com/IdoSpringer/ERGO-II.
Annual Review of Immunology,
Journal Year:
2019,
Volume and Issue:
37(1), P. 547 - 570
Published: Jan. 30, 2019
Adaptive
immune
recognition
is
mediated
by
antigen
receptors
on
B
and
T
cells
generated
somatic
recombination
during
lineage
development.
The
high
level
of
diversity
resulting
from
this
process
posed
technical
limitations
that
previously
limited
the
comprehensive
analysis
adaptive
recognition.
Advances
over
last
ten
years
have
produced
data
approaches
allowing
insights
into
how
develop,
evolutionary
signatures
selection,
features
cell
mediate
epitope-specific
binding
activation.
size
complexity
these
necessitated
generation
novel
computational
analytical
approaches,
which
are
transforming
immunology
conducted.
Here
we
review
development
application
biological,
theoretical,
methods
for
understanding
discuss
potential
improved
models
receptor:antigen
interactions.