Mass spectrometry imaging for spatially resolved multi-omics molecular mapping

npj Imaging, Journal Year: 2024, Volume and Issue: 2(1)

Published: July 17, 2024

Abstract The recent upswing in the integration of spatial multi-omics for conducting multidimensional information measurements is opening a new chapter biological research. Mapping landscape various biomolecules including metabolites, proteins, nucleic acids, etc., and even deciphering their functional interactions pathways believed to provide more holistic nuanced exploration molecular intricacies within living systems. Mass spectrometry imaging (MSI) stands as forefront technique spatially mapping metabolome, lipidome, proteome diverse tissue cell samples. In this review, we offer systematic survey delineating different MSI techniques resolved analysis, elucidating principles, capabilities, limitations. Particularly, focus on advancements methodologies aimed at augmenting sensitivity specificity MSI; depict burgeoning MSI-based metabolomics, lipidomics, proteomics, encompassing synergy with other modalities. Furthermore, speculative insights into potential trajectory technology future.

Language: Английский

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Recent Analytical Methodologies in Lipid Analysis

International Journal of Molecular Sciences, Journal Year: 2024, Volume and Issue: 25(4), P. 2249 - 2249

Published: Feb. 13, 2024

Lipids represent a large group of biomolecules that are responsible for various functions in organisms. Diseases such as diabetes, chronic inflammation, neurological disorders, or neurodegenerative and cardiovascular diseases can be caused by lipid imbalance. Due to the different stereochemical properties composition fatty acyl groups molecules most classes, quantification lipids development lipidomic analytical techniques problematic. Identification species from complex matrices is difficult, therefore individual steps, which include extraction, separation, detection lipids, must chosen properly. This review critically documents recent strategies analysis sample pretreatment instrumental data interpretation published last five years (2019 2023). The advantages disadvantages extraction methods covered. step comprises identification quantification. Mass spectrometry (MS) used technique analysis, performed direct infusion MS approach combination with suitable separation liquid chromatography gas chromatography. Special attention also given correct evaluation obtained analyses. Only accurate, precise, robust reliable able bring useful information, may contribute clarification some at molecular level, putative biomarkers and/or therapeutic targets.

Language: Английский

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Nanospray Desorption Electrospray Ionization Mass Spectrometry Imaging (nano-DESI MSI): A Tutorial Review

ACS Measurement Science Au, Journal Year: 2024, Volume and Issue: 4(5), P. 475 - 487

Published: Aug. 21, 2024

Nanospray desorption electrospray ionization (nano-DESI) is a liquid-based ambient mass spectrometry imaging (MSI) technique that enables visualization of analyte distributions in biological samples down to cellular-level spatial resolution. Since its inception, significant advancements have been made the nano-DESI experimental platform facilitate molecular with high throughput, deep coverage, and resolution better than 10 μm. The selectivity MSI has enhanced using new data acquisition strategies, development separation online derivatization approaches for isobar isomer-selective imaging, optimization working solvent composition improve extraction efficiency. Furthermore, research underscored importance matrix effects established normalization methods accurately measuring concentration gradients complex samples. This tutorial offers comprehensive guide experiments, detailing fundamental principles processing discussing essential operational parameters.

Language: Английский

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Computational tools and algorithms for ion mobility spectrometry‐mass spectrometry

PROTEOMICS, Journal Year: 2024, Volume and Issue: 24(12-13)

Published: March 4, 2024

Abstract Ion mobility spectrometry‐mass spectrometry (IMS‐MS or IM‐MS) is a powerful analytical technique that combines the gas‐phase separation capabilities of IM with identification and quantification MS. IM‐MS can differentiate molecules indistinguishable masses but different structures (e.g., isomers, isobars, molecular classes, contaminant ions). The importance this reflected by staged increase in number applications for characterization across variety fields, from MS‐based omics (proteomics, metabolomics, lipidomics, etc.) to structural glycans, organic matter, proteins, macromolecular complexes. With increasing application there pressing need effective accessible computational tools. This article presents an overview most recent free open‐source software tools specifically tailored analysis interpretation data derived instrumentation. review enumerates these outlines their main algorithmic approaches, while highlighting representative fields. Finally, discussion current limitations expectable improvements presented.

Language: Английский

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MSIGen: An Open-Source Python Package for Processing and Visualizing Mass Spectrometry Imaging Data

Journal of the American Society for Mass Spectrometry, Journal Year: 2024, Volume and Issue: 35(10), P. 2315 - 2323

Published: Sept. 2, 2024

Mass spectrometry imaging (MSI) provides information about the spatial localization of molecules in complex samples with high sensitivity and molecular selectivity. Although point-wise data acquisition, which mass spectra are acquired at predefined points a grid pattern, is common MSI, several MSI techniques use line-wise acquisition. In mode, imaged surface continuously sampled along consecutive parallel lines as collection line scans across sample. Furthermore, aside from standard mode full acquired, other acquisition modes have been developed to enhance specificity, enable separation isobaric isomeric species, improve facilitate low abundance species. These methods, including MS/MS-MSI both MS

Language: Английский

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Challenges and recent advances in quantitative mass spectrometry‐based metabolomics

Analytical Science Advances, Journal Year: 2024, Volume and Issue: 5(5-6)

Published: June 1, 2024

Abstract The field of metabolomics has gained tremendous interest in recent years. Whether the goal is to discover biomarkers related certain pathologies or better understand impact a drug contaminant, numerous studies have demonstrated how crucial it variations metabolism. Detailed knowledge metabolic variabilities can lead more effective treatments, as well faster less invasive diagnostics. Exploratory approaches are often employed metabolomics, using relative quantitation look at perturbations between groups samples. Most been based on metabolite profiling quantitation, with very few an approach for absolute quantitation. Using accurate facilitates comparison different studies, enabling longitudinal studies. In this review, we discuss most widely used techniques quantitative mass spectrometry (MS). Various aspects will be addressed, such use external and/or internal standards, derivatization techniques, vivo isotopic labelling, MS imaging. principles, associated limitations and challenges, described each approach.

Language: Английский

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Proteomic Insight Into Alzheimer's Disease Pathogenesis Pathways

PROTEOMICS, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

ABSTRACT Alzheimer's disease (AD) is a leading cause of dementia, but the pathogenesis mechanism still elusive. Advances in proteomics have uncovered key molecular mechanisms underlying AD, revealing complex network dysregulated pathways, including amyloid metabolism, tau pathology, apolipoprotein E (APOE), protein degradation, neuroinflammation, RNA splicing, metabolic dysregulation, and cognitive resilience. This review examines recent proteomic findings from AD brain tissues biological fluids, highlighting potential biomarkers therapeutic targets. By examining landscape them, we aim to deepen our understanding support developing precision medicine strategies for more effective interventions.

Language: Английский

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Desorption Electrospray Ionization Cyclic Ion Mobility-Mass Spectrometry Imaging for Traumatic Brain Injury Spatial Metabolomics

Analytical Chemistry, Journal Year: 2024, Volume and Issue: 96(33), P. 13598 - 13606

Published: Aug. 6, 2024

Lipidomics focuses on investigating alterations in a wide variety of lipids that harness important information metabolic processes and disease pathology. However, the vast structural diversity presence isobaric isomeric species creates serious challenges feature identification, particularly mass spectrometry imaging experiments lack front-end separations. Ion mobility has emerged as potential solution to address some these is increasingly being utilized part platforms. Here, we present results pilot study rat brains subjected traumatic brain injury (TBI) evaluate depth quality yielded by desorption electrospray ionization cyclic ion (DESI cIM MSI). Imaging data were collected with one six passes through cell. Increasing number increased resolving power resolution lipids, enabling creation more specific maps. Interestingly, drift time enabled recognition multiply charged phosphoinositide complex set generated. These have not been previously reported TBI MSI studies found decrease hippocampus region following injury. changes attributed enzymatic activity after TBI, releasing arachidonic acid converted eicosanoids control inflammation. A substantial reduction NAD other adenine metabolites also observed, supporting hypothesis energy metabolism severely disrupted TBI.

Language: Английский

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Advances in multimodal mass spectrometry for single‐cell analysis and imaging enhancement

FEBS Letters, Journal Year: 2024, Volume and Issue: 598(6), P. 591 - 601

Published: Jan. 19, 2024

Multimodal mass spectrometry (MMS) incorporates an imaging modality with probe‐based (MS) to enable precise, targeted data acquisition and provide additional biological chemical not available by MS alone. Two categories of MMS are covered; in the first, guides probe target individual cells reduce time automatically defining regions interest. In second category, coupled analysis pipeline increase effective spatial resolution using a higher method, correct for tissue deformation, incorporate fine morphological features dataset. Recent methodological computational developments covered along their application single‐cell analyses.

Language: Английский

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Frontiers in mass spectrometry-based spatial metabolomics: Current applications and challenges in the context of biomedical research

TrAC Trends in Analytical Chemistry, Journal Year: 2024, Volume and Issue: 175, P. 117713 - 117713

Published: April 18, 2024

Metabolites are critical products and mediators of cellular tissue function, key signals in cell-to-cell, organ-to-organ cross-organism communication. Many these interactions spatially segregated. Thus, spatial metabolomics can provide valuable insight into healthy function disease pathogenesis. Here, we review major mass spectrometry-based techniques the biological insights they have enabled, with a focus on brain microbiota cancer, neurological diseases infectious diseases. These also present significant translational utility, for example cancer diagnosis, drug development. However, spectrometry still encounter challenges, including artifactual features, metabolite annotation, open data, ethical considerations. Addressing issues represent future challenges this field.

Language: Английский

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