ArticleScientific reports2017
Spatial and molecular resolution of diffuse malignant mesothelioma heterogeneity by integrating label-free FTIR imaging, laser capture microdissection and proteomics.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Spatial proteomics: technical evolution and applications in cancer research.Frontiers in cell and developmental biology · 2026Review
- Label-free Aβ plaque detection in Alzheimer's disease brain tissue using infrared microscopy and neural networks.Heliyon · 2025Article
- Metasurface-Enhanced Mid-Infrared Spectrochemical Imaging of Tissues.Advanced materials (Deerfield Beach, Fla.) · 2023Article
- PROTEOMAS: a workflow enabling harmonized proteomic meta-analysis and proteomic signature mapping.Journal of cheminformatics · 2023Article
- Cancer proteogenomics: current impact and future prospects.Nature reviews. Cancer · 2022Review
- Laser Capture Proteomics: spatial tissue molecular profiling from the bench to personalized medicine.Expert review of proteomics · 2021Review
- Molecular Origin of Blood-Based Infrared Spectroscopic Fingerprints*.Angewandte Chemie (International ed. in English) · 2021Article
- Shape decomposition algorithms for laser capture microdissection.Algorithms for molecular biology : AMB · 2021Article
- The application of label-free imaging technologies in transdermal research for deeper mechanism revealing.Asian journal of pharmaceutical sciences · 2021Review
- Malignant Pleural Mesothelioma Interactome with 364 Novel Protein-Protein Interactions.Cancers · 2021Article
- Application of Label-Free Proteomics for Quantitative Analysis of Urothelial Carcinoma and Cystitis Tissue.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Label-free vibrational imaging of different Aβ plaque types in Alzheimer's disease reveals sequential events in plaque development.Acta neuropathologica communications · 2020Article
- Label-free, automated classification of microsatellite status in colorectal cancer by infrared imaging.Scientific reports · 2020Article
- S100A4 is a Biomarker of Tumorigenesis, EMT, Invasion, and Colonization of Host Organs in Experimental Malignant Mesothelioma.Cancers · 2020Article
- All-digital histopathology by infrared-optical hybrid microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Measuring proteins in HChemical science · 2019Article
- Big Data in occupational medicine: the convergence of -omics sciences, participatory research and e-health.La Medicina del lavoro · 2019Article
- Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers.Life science alliance · 2018Article
- Combining laser capture microdissection and proteomics reveals an active translation machinery controlling invadosome formation.Nature communications · 2018Article
- Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections.Scientific reports · 2018Article
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14 authors.
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Abstract
Diffuse malignant mesothelioma (DMM) is a heterogeneous malignant neoplasia manifesting with three subtypes: epithelioid, sarcomatoid and biphasic. DMM exhibit a high degree of spatial heterogeneity that complicates a thorough understanding of the underlying different molecular processes in each subtype. We present a novel approach to spatially resolve the heterogeneity of a tumour in a label-free manner by integrating FTIR imaging and laser capture microdissection (LCM). Subsequent proteome analysis of the dissected homogenous samples provides in addition molecular resolution. FTIR imaging resolves tumour subtypes within tissue thin-sections in an automated and label-free manner with accuracy of about 85% for DMM subtypes. Even in highly heterogeneous tissue structures, our label-free approach can identify small regions of interest, which can be dissected as homogeneous samples using LCM. Subsequent proteome analysis provides a location specific molecular characterization. Applied to DMM subtypes, we identify 142 differentially expressed proteins, including five protein biomarkers commonly used in DMM immunohistochemistry panels. Thus, FTIR imaging resolves not only morphological alteration within tissue but it resolves even alterations at the level of single proteins in tumour subtypes. Our fully automated workflow FTIR-guided LCM opens new avenues collecting homogeneous samples for precise and predictive biomarkers from omics studies.
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