ArticleNature communications2021
Automated annotation and visualisation of high-resolution spatial proteomic mass spectrometry imaging data using HIT-MAP.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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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
40 citing papers in PubMed.
- DeSpaST: deconvoluting spatial transcriptomics signals to cell-level resolution using histology images.Briefings in bioinformatics · 2026Article
- Single-Cell and Spatial Omics: Methods and Applications.MedComm · 2026Review
- MALDI spatial proteomics: a mini review of approaches and techniques.Analytical methods : advancing methods and applications · 2026Review
- Mass spectrometry imaging-based explainable machine learning reveals the biochemical landscapes of the mouse brain.Free neuropathology · 2026Article
- The evolving landscape of spatial proteomics technologies in the AI age.Fundamental research · 2026Review
- Spatial proteomics for the analysis of host-pathogen interactions in mice lungs infected withmicroLife · 2026Article
- Spatial omics for profiling the dynamic tumor microenvironment.Clinical & translational immunology · 2026Review
- Proteomic Insight Into Alzheimer's Disease Pathogenesis Pathways.Proteomics · 2025Review
- Spatial omics technology potentially promotes the progress of tumor immunotherapy.British journal of cancer · 2025Review
- Informatics at the Frontier of Cancer Research.Cancer research · 2025Review
- High-Throughput Proteoform Imaging for Revealing Spatial-Resolved Changes in Brain Tissues Associated with Alzheimer's Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Met-ID: An Open-Source Software for Comprehensive Annotation of Multiple On-Tissue Chemical Modifications in MALDI-MSI.Analytical chemistry · 2025Article
- In-depth and high-throughput spatial proteomics for whole-tissue slice profiling by deep learning-facilitated sparse sampling strategy.Cell discovery · 2025Article
- msiFlow: automated workflows for reproducible and scalable multimodal mass spectrometry imaging and microscopy data analysis.Nature communications · 2025Article
- Spatiotemperal Dynamics of Osteoarthritis: Bridging Insights from Bench to Bedside.Aging and disease · 2024Review
- Spatially resolved metabolomics: From metabolite mapping to function visualising.Clinical and translational medicine · 2024Review
- An isotopically-labelled temporal mass spectrometry imaging data analysis workflow to reveal glucose spatial metabolism patterns in bovine lens tissue.Scientific reports · 2024Article
- [Research progress of deep learning applications in mass spectrometry imaging data analysis].Se pu = Chinese journal of chromatography · 2024Review
- Use of tryptic peptide MALDI mass spectrometry imaging to identify the spatial proteomic landscape of colorectal cancer liver metastases.Clinical and experimental medicine · 2024Article
- Spatial MS multiomics on clinical prostate cancer tissues.Analytical and bioanalytical chemistry · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Spatial proteomics has the potential to significantly advance our understanding of biology, physiology and medicine. Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a powerful tool in the spatial proteomics field, enabling direct detection and registration of protein abundance and distribution across tissues. MALDI-MSI preserves spatial distribution and histology allowing unbiased analysis of complex, heterogeneous tissues. However, MALDI-MSI faces the challenge of simultaneous peptide quantification and identification. To overcome this, we develop and validate HIT-MAP (High-resolution Informatics Toolbox in MALDI-MSI Proteomics), an open-source bioinformatics workflow using peptide mass fingerprint analysis and a dual scoring system to computationally assign peptide and protein annotations to high mass resolution MSI datasets and generate customisable spatial distribution maps. HIT-MAP will be a valuable resource for the spatial proteomics community for analysing newly generated and retrospective datasets, enabling robust peptide and protein annotation and visualisation in a wide array of normal and disease contexts.
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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.