Data-Independent Immunopeptidomics Discovery of Low-Abundant Bacterial Epitopes

Data-Independent Immunopeptidomics Discovery of Low-Abundant Bacterial Epitopes

Mass spectrometry-based immunopeptidomics is a powerful approach to uncover peptides presented by human leukocyte antigen (HLA) molecules that can guide vaccine design and immunotherapies. While data-dependent acquisition (DDA) has been the standard for navigating through the complexity associated w...

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Bibliographic Details
Main Author: Patrick Willems (5404778) (author)
Other Authors: An Staes (205917) (author), Laia Miret-Casals (6069587) (author), Vadim Demichev (5560499) (author), Simon Devos (18421914) (author), Francis Impens (1297737) (author)
Published: 2025
Subjects:
Biochemistry
Microbiology
Immunology
Space Science
Biological Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
uncovering additional human
model intracellular pathogen
listeria monocytogenes </
human leukocyte antigen
guide vaccine design
global immunopeptidome profiling
bacterial epitope discovery
uncover peptides presented
peptide spectral libraries
independent immunopeptidomics discovery
centric immunopeptidomics analysis
independent acquisition
immunopeptidomics research
centric workflows
based immunopeptidomics
bacterial immunopeptides
taken together
searching proteome
search pseudo
results demonstrate
promising strategies
powerful approach
mhc class
increasingly adopted
dependent acquisition
conventional ddapasef
complexity associated
compare diapasef
approach outperformed
abundant immunopeptides
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