Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2021–2022 DOI Creative Commons
David J. Harvey

Mass Spectrometry Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Abstract The use of matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis carbohydrates and glycoconjugates is a well‐established technique this review 12 th update original article published in 1999 brings coverage literature to end 2022. As with previous review, also includes few papers that describe methods appropriate by MALDI, such as sample preparation, even though ionization method not MALDI. follows same format reviews. It divided into three sections: (1) general aspects theory MALDI process, matrices, derivatization, imaging, fragmentation, quantification computer software structural identification. (2) Applications various types oligo‐ polysaccharides, glycoproteins, glycolipids, glycosides biopharmaceuticals, (3) other areas medicine, industrial processes, natural products glycan synthesis where extensively used. Much material relating applications presented tabular form. still an ideal carbohydrate analysis, particularly its ability produce single ions from each analyte advancements range show little sign diminishing.

Language: Английский

Progress in Characterization of Lipopolysaccharides and Lipid A by Mass Spectrometry DOI
Amanda Helms, Jennifer S. Brodbelt

Mass Spectrometry Reviews, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

ABSTRACT Lipopolysaccharides (LPS) are complex molecules embedded in the outer membrane of Gram‐negative bacteria. LPS highly heterogeneous across species and strains, posing a significant analytical challenge. This review article explores recent advances identification characterization LPS, with particular focus on role mass spectrometry (MS) techniques. The highlights how MS, conjunction various separation methods spanning different ionization techniques dissociation modes, has enabled more precise sensitive determination composition, lipid A structure. Finally, emerging trends MS applications for research discussed its potential to provide deeper insights into development antibiotic resistance among pathogenic

Language: Английский

Citations

0

Large-Scale Evaluation of Spatial Metabolomics Protocols and Technologies DOI Creative Commons
Veronika Saharuka,

Lucas Vieira,

Lachlan Stuart

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 31, 2024

Abstract Spatial metabolomics using imaging mass spectrometry (MS) enables untargeted and label-free metabolite mapping in biological samples. Despite the range of available MS protocols technologies, our understanding detection under specific conditions is limited due to sparse empirical data predictive theories. Consequently, challenges persist designing new experiments, accurately annotating interpreting data. In this study, we systematically measured detectability 172 biologically-relevant metabolites across common custom reference We evaluated 24 MALDI-imaging for metabolomics, demonstrated applicability findings complex samples through comparison with animal tissue showcased potential extending results further analytes by predicting based on molecular properties. Additionally, interlaboratory 10 including MALDI, DESI, IR-MALDESI, showed extensive coverage comparable results, underscoring broad within community. share a interactive web application integrated METASPACE. This resource offers an catalogue detectable ions, facilitating protocol selection, supporting annotation, benefiting future spatial studies.

Language: Английский

Citations

3

Sample Preparation Method for MALDI Mass Spectrometry Imaging of Fresh-Frozen Spines DOI Creative Commons
K. Bender, Yongheng Wang,

Chuo Ying Zhai

et al.

Analytical Chemistry, Journal Year: 2023, Volume and Issue: 95(47), P. 17337 - 17346

Published: Oct. 27, 2023

Technologies assessing the lipidomics, genomics, epigenomics, transcriptomics, and proteomics of tissue samples at single-cell resolution have deepened our understanding physiology pathophysiology an unprecedented level detail. However, study spatial metabolomics in undecalcified bones faces several significant challenges, such as fragility bone, which often requires decalcification or fixation leading to degradation removal lipids other molecules. As such, we describe a method for performing mass spectrometry imaging on spine that is compatible with omics measurements. In brief, use fresh-frozen rat spines system carboxyl methylcellulose embedding, cryofilm, polytetrafluoroethylene rollers maintain integrity while avoiding signal loss from variations laser focus artifacts traditional processing. This reveals various types lipidomic profiles spinal regions 10 μm resolutions using matrix-assisted desorption/ionization imaging. We expect this be adapted applied analysis cord, shedding light mechanistic aspects cellular heterogeneity, development, disease pathogenesis underlying different bone-related conditions diseases. furthers methodology high adds collective efforts achieve holistic diseases via multiomics.

Language: Английский

Citations

7

Matrix- and Surface-Assisted Laser Desorption/Ionization Mass Spectrometry Methods for Urological Cancer Biomarker Discovery—Metabolomics and Lipidomics Approaches DOI Creative Commons
Adrian Arendowski

Metabolites, Journal Year: 2024, Volume and Issue: 14(3), P. 173 - 173

Published: March 20, 2024

Urinary tract cancers, including those of the bladder, kidneys, and prostate, represent over 12% all with significant global incidence mortality rates. The continuous challenge that these cancers present necessitates development innovative diagnostic prognostic methods, such as identifying specific biomarkers indicative cancer. Biomarkers, which can be genes, proteins, metabolites, or lipids, are vital for various clinical purposes early detection prognosis. Mass spectrometry (MS), particularly soft ionization techniques electrospray (ESI) laser desorption/ionization (LDI), has emerged a key tool in metabolic profiling biomarker discovery, due to its high resolution, sensitivity, ability analyze complex biological samples. Among LDI techniques, matrix-assisted (MALDI) surface-assisted (SALDI) should mentioned. While MALDI methodology, uses organic compounds matrices, is effective larger molecules, SALDI, based on types nanoparticles nanostructures, preferred smaller metabolites lipids reduced spectral interference. This study highlights application along mass imaging (MSI), potential lipid urological focusing most common kidney, prostate cancers.

Language: Английский

Citations

2

Analysis of carbohydrates and glycoconjugates by matrix‐assisted laser desorption/ionization mass spectrometry: An update for 2021–2022 DOI Creative Commons
David J. Harvey

Mass Spectrometry Reviews, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Abstract The use of matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis carbohydrates and glycoconjugates is a well‐established technique this review 12 th update original article published in 1999 brings coverage literature to end 2022. As with previous review, also includes few papers that describe methods appropriate by MALDI, such as sample preparation, even though ionization method not MALDI. follows same format reviews. It divided into three sections: (1) general aspects theory MALDI process, matrices, derivatization, imaging, fragmentation, quantification computer software structural identification. (2) Applications various types oligo‐ polysaccharides, glycoproteins, glycolipids, glycosides biopharmaceuticals, (3) other areas medicine, industrial processes, natural products glycan synthesis where extensively used. Much material relating applications presented tabular form. still an ideal carbohydrate analysis, particularly its ability produce single ions from each analyte advancements range show little sign diminishing.

Language: Английский

Citations

2