ArticleNature communications2023
Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 34 citations in OpenAlex.
- All-optical multimodal mapping of single-cell-type-specific metabolic activities via REDCAT.Nature methods · 2026Article
- Raman analysis of breast cancer-associated adipocytes: A chemometric pipeline for lipid biochemistry profiling.Journal of lipid research · 2026Article
- Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman spectroscopy and AI.bioRxiv : the preprint server for biology · 2026Article
- RamEx: an R package for high-throughput microbial ramanome analyses with accurate quality assessment.Microbiome · 2026Article
- Bond-Selective Imaging at the Frontier of Biomedicine.Chemical & biomedical imaging · 2025Article
- Single-cell Raman imaging reveals fructose impairs brown adipocyte differentiation.Biosensors & bioelectronics · 2025Article
- Decomposition Analysis of Theoretical Raman Spectra for Efficient Interpretation of Experimental Spectra of Thin-Film Functional Materials.International journal of molecular sciences · 2025Article
- Confocal Raman microspectroscopy for spatially resolved tissue characterisation of disease-linked spectra-pathological signatures.Clinical and translational medicine · 2025Review
- Importance of Advanced Detection Methodologies from Plant Cells to Human Microsystems Targeting Anticancer Applications.International journal of molecular sciences · 2025Review
- Raman imaging as a window into cellular complexity: a future perspective.Nature methods · 2025Article
- Surface-Enhanced Raman Spectroscopy for Biomedical Applications: Recent Advances and Future Challenges.ACS applied materials & interfaces · 2025Review
- Prediction of post-treatment recurrence in early-stage breast cancer using deep-learning with mid-infrared chemical histopathological imaging.NPJ precision oncology · 2025Article
- Detection of radiosensitive subpopulationsFrontiers in oncology · 2025Article
- Spatial oncology: Translating contextual biology to the clinic.Cancer cell · 2024Review
- Cyclophilin(g) a Knowledge Gap in Heart Failure Pathogenesis.Circulation research · 2024Article
- RamanFormer: A Transformer-Based Quantification Approach for Raman Mixture Components.ACS omega · 2024Article
Corrections and comments
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Authors and funding
15 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spatial transcriptomics of histological sections have revolutionized research in life sciences and enabled unprecedented insights into genetic processes involved in tissue reorganization. However, in contrast to genomic analysis, the actual biomolecular composition of the sample has fallen behind, leaving a gap of potentially highly valuable information. Raman microspectroscopy provides untargeted spatiomolecular information at high resolution, capable of filling this gap. In this study we demonstrate spatially resolved Raman "spectromics" to reveal homogeneity, heterogeneity and dynamics of cell matrix on molecular levels by repurposing state-of-the-art bioinformatic analysis tools commonly used for transcriptomic analyses. By exploring sections of murine myocardial infarction and cardiac hypertrophy, we identify myocardial subclusters when spatially approaching the pathology, and define the surrounding metabolic and cellular (immune-) landscape. Our innovative, label-free, non-invasive "spectromics" approach could therefore open perspectives for a profound characterization of histological samples, while additionally allowing the combination with consecutive downstream analyses of the very same specimen.
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