ArticleProceedings of the National Academy of Sciences of the United States of America2019
Label-free visualization and characterization of extracellular vesicles in breast cancer.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed, 83 citations in OpenAlex.
- Detecting drug-induced nephrotoxicity using simultaneous label-free autofluorescence multiharmonic microscopy.Toxicological sciences : an official journal of the Society of Toxicology · 2026Article
- Submicromolar imaging of intrinsic chromophores by two-photon photothermal microscopy captures mitochondrial response to chemotherapy.Science advances · 2026Article
- Visualizing extracellular vesicles in cancer: from biogenesis to theranostic applications.Journal of nanobiotechnology · 2026Review
- Label-free correlative morpho-chemical tomography of 3D kidney mesangial cells.Journal of biomedical optics · 2026Article
- Real-time, high-resolution metabolic characterization of live bacteria using label-free optical metabolic imaging.NPJ biofilms and microbiomes · 2026Article
- An updated review on the role of extracellular vesicles in immune system modulation in breast cancer with special emphasis on immune checkpoint regulators.Frontiers in immunology · 2026Review
- On the importance of simultaneous label-free multimodal nonlinear optical imaging for biomedical applications.APL photonics · 2025Article
- Spatial Distribution of Extracellular Vesicles, Autofluorescence and CD9 Positivity Around Chondrocytes in the Superficial Layer of Articular Cartilage.Journal of extracellular vesicles · 2025Article
- Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy.Journal of visualized experiments : JoVE · 2025Article
- Mechanical regulation of extracellular vesicle activity during tumour progression.Nature biomedical engineering · 2025Review
- Deep and dynamic metabolic and structural imaging in living tissues.Science advances · 2024Article
- 27-Hydroxycholesterol Enhances Secretion of Extracellular Vesicles by ROS-Induced Dysregulation of Lysosomes.Endocrinology · 2024Article
- Predicting DNA damage response in non-small cell lung cancer organoids via simultaneous label-free autofluorescence multiharmonic microscopy.Redox biology · 2024Article
- Large field-of-view metabolic profiling of murine brain tissue following morphine incubation using label-free multiphoton microscopy.Journal of neuroscience methods · 2024Article
- Extracellular Vesicles Derived from Neutrophils Accelerate Bone Regeneration by Promoting Osteogenic Differentiation of BMSCs.ACS biomaterials science & engineering · 2024Article
- Impacts of tissue context on extracellular vesicles-mediated cancer-host cell communications.Cancer science · 2024Review
- Cholesterol Metabolite 27-Hydroxycholesterol Enhances the Secretion of Cancer Promoting Extracellular Vesicles by a Mitochondrial ROS-Induced Impairment of Lysosomal Function.bioRxiv : the preprint server for biology · 2024Article
- Label-free nonlinear optical signatures of extracellular vesicles in liquid and tissue biopsies of human breast cancer.Scientific reports · 2024Article
- Compact simultaneous label-free autofluorescence multi-harmonic microscopy for user-friendly photodamage-monitored imaging.Journal of biomedical optics · 2024Article
- Probing delivery of a lipid nanoparticle encapsulated self-amplifying mRNA vaccine using coherent Raman microscopy and multiphoton imaging.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
Abstract
Despite extensive interest, extracellular vesicle (EV) research remains technically challenging. One of the unexplored gaps in EV research has been the inability to characterize the spatially and functionally heterogeneous populations of EVs based on their metabolic profile. In this paper, we utilize the intrinsic optical metabolic and structural contrast of EVs and demonstrate in vivo/in situ characterization of EVs in a variety of unprocessed (pre)clinical samples. With a pixel-level segmentation mask provided by the deep neural network, individual EVs can be analyzed in terms of their optical signature in the context of their spatial distribution. Quantitative analysis of living tumor-bearing animals and fresh excised human breast tissue revealed abundance of NAD(P)H-rich EVs within the tumor, near the tumor boundary, and around vessel structures. Furthermore, the percentage of NAD(P)H-rich EVs is highly correlated with human breast cancer diagnosis, which emphasizes the important role of metabolic imaging for EV characterization as well as its potential for clinical applications. In addition to the characterization of EV properties, we also demonstrate label-free monitoring of EV dynamics (uptake, release, and movement) in live cells and animals. The in situ metabolic profiling capacity of the proposed method together with the finding of increasing NAD(P)H-rich EV subpopulations in breast cancer have the potential for empowering applications in basic science and enhancing our understanding of the active metabolic roles that EVs play in cancer progression.
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