Mass Spectrometry Techniques and Applications

This paper introduces a novel MALDI-MSI method achieving 500 nm resolution for subcellular imaging in mouse brain tissues and cultured cells.

AIMe uses neuro-symbolic AI to predict and annotate small-molecule spectra, expanding the searchable chemical space by three orders of magnitude.

This paper introduces a method combining immunohistochemistry with gel-assisted mass spectrometry imaging to enable single-cell lipidomics in complex tissues, revealing disease-specific lipid changes in a neurodegenerative disorder.

The paper demonstrates that WRAP domains designed with deep learning can preserve weak interactions of membrane protein complexes in native mass spectrometry, enabling characterization of lipid and ligand interactions without detergent micelles.

This study uses native mass spectrometry to reveal the half-site reactivity mechanism of Salmonella FraB, showing how substrate binding and conformational changes regulate catalytic activity in a homodimeric enzyme.

This paper introduces a method to infer lipid CCS values from LC-Orbitrap MS data, improving isomer annotation in lipidomics with high precision and accuracy.

This study uses DESI-MSI to visualize benzbromarone distribution in human renal cyst tissue on the CAM model, showing selective accumulation at the cyst epithelium.

The paper evaluates photon- and electron-based fragmentation methods for glycopeptide analysis using Omnitrap-LCMS, finding UVPD and EID provide detailed structural information comparable to traditional methods.

This study uses native mass spectrometry and hydrogen deuterium exchange to analyze calcium-dependent calmodulin-calmidazolium interactions, revealing ligand-induced conformational changes and binding affinity.

This paper describes the design of a benchtop ELIT-based CDMS instrument and presents its performance metrics for analyzing high-molecular-weight species.

This paper introduces ExFusion, a method combining hydrogel expansion and multimodal image fusion to enhance spatial resolution in imaging mass spectrometry.

This paper introduces an ultrafast microdroplet digestion-mass spectrometry method for rapid and accurate determination of drug-to-antibody ratios in ADCs.

This paper introduces RaPiD-mAb-MS, a direct infusion mass spectrometry method for rapid peptide mapping of monoclonal antibodies, achieving 100-fold faster analysis with high sequence coverage and comparable results to conventional methods.

NativeReady provides a benchmark and sequence-based model to predict native mass spectrometry suitability, achieving an AUC of 0.869 with cluster-aware cross-validation.

The paper introduces REVEAL, a mass spectrometry method to identify receptor-specific lipid binding in mammalian membrane proteins, showing agonism alters lipid occupancy and plasmalogen lipids are depleted under oxidative stress.

This study compares two CDMS methods to analyze norovirus capsid assembly, revealing non-classical mass distributions in GII.17 Kawasaki capsids confirmed by cryo-EM.

The paper evaluates different ion activation methods on a timsOmni mass spectrometer for analyzing oligonucleotides, showing that EDD combined with other techniques improves fragmentation analysis.

The paper identifies a bimodal distribution of peptide collision cross sections, showing two stable conformations, and proposes a two-valued predictor to improve peptide identification in proteomics.

The paper curates HRMS/MS reference spectra for cyanobacterial specialized metabolites, expanding existing libraries and demonstrating improved annotation success.

SpecReBoot improves molecular network analysis by quantifying confidence in MS/MS similarity scores, revealing hidden chemical relationships.

This paper introduces a single-cell mass spectrometry imaging platform to profile metabolites in glioblastoma co-cultures, revealing cell-type-specific metabolic signatures and interactions.

This paper introduces a platform combining parallel image acquisition and spatial similarity networking to improve molecular annotation in mass spectrometry imaging, achieving high-precision annotation of phospholipids and oxysterols in mouse and human tissues.

This study optimizes LC-MS detection of retinoids in cerebrospinal fluid, showing that tailored parameters are needed for reliable identification in low-abundance biofluids.

This paper shows that lowering FAIMS resolution improves peptide identification in low-load and single-cell proteomics by increasing ion transmission and sensitivity.

This paper introduces a nature-inspired ion trap that enables massively parallel mass spectrometry, improving signal-to-noise ratios and detection sensitivity through parallel ion manipulation.

This paper introduces a universal volatile buffer system using fluorinated ethylamines for native LC-MS analysis of antibody-based therapeutics, enabling broad pH range buffering and compatibility with mass spectrometry.

This paper improves molecular resolution in ambient metabolomics by integrating ion mobility spectrometry with LA-REIMS, reducing background noise and enhancing chemical specificity.

This paper introduces an automated HDX-MS platform for studying membrane proteins in their native lipid environment, revealing new dynamic features in MsbA.

The paper introduces HXMS, a standardized file format for HX-MS data, and provides PFLink to convert existing data to this format, enhancing data processing and sharing.