ArticleAnalytical chemistry2024
MALDI-MSI-LC-MS/MS Workflow for Single-Section Single Step Combined Proteomics and Quantitative Lipidomics.
Article in Analytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 30 citations in OpenAlex.
- Quantitative MALDI-MSI Workflow for Lipids with a LC-MS-Based Quality Control Pipeline.ACS measurement science au · 2026Article
- MALDI Mass Spectrometry Imaging in Alzheimer's Disease Lipidomics: Matrix Selection, Spatial Lipid Pathology and Emerging Analytical Strategies.International journal of molecular sciences · 2026Review
- Spatially-guided metabolomics profiling of metabolic regions in human tumor tissues.Molecular systems biology · 2026Article
- Miniaturized chromatography-based lipidomics methods towards single-cell analysis.Analytical and bioanalytical chemistry · 2026Review
- A lipidomics roadmap: from basic research to societal challenges.Nature communications · 2026Review
- MIAAIM: Multi-omics image integration with dimensional reduction for tissue state mapping.PLoS computational biology · 2026Article
- Histology-guided spatial lipidomics and proteomics of the trisynaptic circuit in the human hippocampus.Analytica chimica acta · 2026Article
- Lipidomic Profiling of Rabbit VX2 Tumors Using Matrix-assisted Laser Desorption Ionization Mass Spectrometry Imaging.Radiology. Imaging cancer · 2026Article
- Periodic fasting and refeeding re-shapes lipid saturation, storage, and distribution in brown adipose tissue.PLoS biology · 2026Article
- One section, two worlds: single-cell integration of MALDI-MSI and spatial transcriptomics on the same single tissue section.Scientific reports · 2025Article
- Glycosphingolipids in Dementia: Insights from Mass Spectrometry and Systems Biology Approaches.Biomedicines · 2025Review
- Article
- Review
- Application of a Multiomics Imaging Workflow to Explore Asparlas Treatment in Solid Tumors.Analytical chemistry · 2025Article
- Mapping current research status and emerging frontiers of lipidomics: a comprehensive data-mining-based study.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Imaging and spatially resolved mass spectrometry applications in nephrology.Nature reviews. Nephrology · 2025Review
- From Biomarker Discovery to Clinical Applications of Metabolomics in Glioblastoma.Metabolites · 2025Review
- Resolving multi-image spatial lipidomic responses to inhaled toxicants by machine learning.Nature communications · 2025Article
- Integrating Rapid Evaporative Ionization Mass Spectrometry Classification with Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging and Liquid Chromatography-Tandem Mass Spectrometry to Unveil Glioblastoma Overall Survival Prediction.ACS chemical neuroscience · 2025Article
- Advanced multi-modal mass spectrometry imaging reveals functional differences of placental villous compartments at microscale resolution.Nature communications · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We introduce a novel approach for comprehensive molecular profiling in biological samples. Our single-section methodology combines quantitative mass spectrometry imaging (Q-MSI) and a single step extraction protocol enabling lipidomic and proteomic liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis on the same tissue area. The integration of spatially correlated lipidomic and proteomic data on a single tissue section allows for a comprehensive interpretation of the molecular landscape. Comparing Q-MSI and Q-LC-MS/MS quantification results sheds new light on the effect of MSI and related sample preparation. Performing MSI before Q-LC-MS on the same tissue section led to fewer protein identifications and a lower correlation between lipid quantification results. Also, the critical role and influence of internal standards in Q-MSI for accurate quantification is highlighted. Testing various slide types and the evaluation of different workflows for single-section spatial multiomics analysis emphasized the need for critical evaluation of Q-MSI data. These findings highlight the necessity for robust quantification methods comparable to current gold-standard LC-MS/MS techniques. The spatial information from MSI allowed region-specific insights within heterogeneous tissues, as demonstrated for glioblastoma multiforme. Additionally, our workflow demonstrated the efficiency of a single step extraction for lipidomic and proteomic analyses on the same tissue area, enabling the examination of significantly altered proteins and lipids within distinct regions of a single section. The integration of these insights into a lipid-protein interaction network expands the biological information attainable from a tissue section, highlighting the potential of this comprehensive approach for advancing spatial multiomics research.
Indexed as
Identifiers
What OpenQuestion holds
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.