ArticleJournal of proteome research2022
Multimodal Mass Spectrometry Imaging of Rat Brain Using IR-MALDESI and NanoPOTS-LC-MS/MS.
Article in Journal of proteome research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Mass spectrometry-based human spatial omics: fundamentals, innovations, and applications.Journal of biomedical science · 2026Pooled it
- MALDI spatial proteomics: a mini review of approaches and techniques.Analytical methods : advancing methods and applications · 2026Review
- Advanced multi-modal mass spectrometry imaging reveals functional differences of placental villous compartments at microscale resolution.Nature communications · 2025Article
- Updated Progress on Mass Spectrometry Imaging and its Application in Cancer Treatment and Drug Discovery.Recent patents on anti-cancer drug discovery · 2025Review
- Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics.BME frontiers · 2025Review
- Parallel sample processing for mass spectrometry-based single cell proteomics.Analytica chimica acta · 2024Article
- Efficient and Sensitive Sample Preparation, Separations, and Data Acquisition for Label-Free Single-Cell Proteomics.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Metabolomics in drug research and development: The recent advances in technologies and applications.Acta pharmaceutica Sinica. B · 2023Review
- Intracellular Amyloid-β Detection from Human Brain Sections Using a Microfluidic Immunoassay in Tandem with MALDI-MS.Analytical chemistry · 2023Article
- Quasi-continuous infrared matrix-assisted laser desorption electrospray ionization source coupled to a quadrupole time-of-flight mass spectrometer for direct analysis from well plates.Journal of mass spectrometry : JMS · 2023Article
- Emerging Computational Methods in Mass Spectrometry Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Sequential paired covariance for improved visualization of mass spectrometry imaging datasets.Journal of mass spectrometry : JMS · 2022Article
- Emerging insights and challenges for understanding T cell function through the proteome.Frontiers in immunology · 2022Review
- Mass Spectrometry-Based Glycoproteomic Workflows for Cancer Biomarker Discovery.Technology in cancer research & treatmentReview
- Biological mass spectrometry enables spatiotemporal 'omics: From tissues to cells to organelles.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Multimodal mass spectrometry imaging (MSI) is a critical technique used for deeply investigating biological systems by combining multiple MSI platforms in order to gain the maximum molecular information about a sample that would otherwise be limited by a single analytical technique. The aim of this work was to create a multimodal MSI approach that measures metabolomic and proteomic data from a single biological organ by combining infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) for metabolomic MSI and nanodroplet processing in one pot for trace samples (nanoPOTS) LC-MS/MS for spatially resolved proteome profiling. Adjacent tissue sections of rat brain were analyzed by each platform, and each data set was individually analyzed using previously optimized workflows. IR-MALDESI data sets were annotated by accurate mass and spectral accuracy using HMDB, METLIN, and LipidMaps databases, while nanoPOTS-LC-MS/MS data sets were searched against the rat proteome using the Sequest HT algorithm and filtered with a 1% FDR. The combined data revealed complementary molecular profiles distinguishing the corpus callosum against other sampled regions of the brain. A multiomic pathway integration showed a strong correlation between the two data sets when comparing average abundances of metabolites and corresponding enzymes in each brain region. This work demonstrates the first steps in the creation of a multimodal MSI technique that combines two highly sensitive and complementary imaging platforms. Raw data files are available in METASPACE (https://metaspace2020.eu/project/pace-2021) and MassIVE (identifier: MSV000088211).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.