ArticleNature communications2023
Spatial exosome analysis using cellulose nanofiber sheets reveals the location heterogeneity of extracellular vesicles.
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 18 papers.
What it found
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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
18 citing papers in PubMed, 39 citations in OpenAlex.
- Artificial Intelligence-Enabled Exosomes in Precision Oncology: A Framework for Clinical Utility and Biomedical Applications.Current issues in molecular biology · 2026Review
- Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq.Nature biotechnology · 2026Article
- Extracellular vesicles in nipple discharge for breast cancer screening.Breast cancer research and treatment · 2026Article
- The 'sugar' side of extracellular vesicle-glycome: a panorama from basic characteristics, deciphering technologies, functions, to applications.Journal of nanobiotechnology · 2026Review
- DNA Copy Number Profiling in Extracellular Vesicles as Clinical Biomarkers of High-Grade Serous Ovarian Carcinoma.Journal of extracellular vesicles · 2026Article
- Endoscopic Ultrasound-Lavage Technique for Pancreatic Cancer: An In Vivo Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- A novel extracellular vesicle isolation method based on cellulose nanofiber sheets.Extracellular vesicles and circulating nucleic acids · 2026Review
- MicroRNA Extraction from Extracellular Vesicles by Nanowire Devices.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Harnessing ovarian cancer ascites for translational science: models, biomarkers, and therapeutics.Molecular cancer · 2025Review
- Exosome-Based Therapeutics: A Natural Solution to Overcoming the Blood-Brain Barrier in Neurodegenerative Diseases.MedComm · 2025Review
- Diverse Functions of Extracellular Vesicles in Ovarian Cancer.JMA journal · 2025Article
- [Research progress of peptide recognition-guided strategies for exosome isolation and enrichment].Se pu = Chinese journal of chromatography · 2025Review
- Nanobiodevices and quantum life science for future healthcare.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- Exosome isolation and characterization for advanced diagnostic and therapeutic applications.Materials today. Bio · 2025Article
- Exosomes in Precision Oncology and Beyond: From Bench to Bedside in Diagnostics and Therapeutics.Cancers · 2025Review
- Applications of machine learning-assisted extracellular vesicles analysis technology in tumor diagnosis.Computational and structural biotechnology journal · 2025Review
- Amniotic fluid-derived small extracellular vesicles for predicting postnatal severe outcome of congenital diaphragmatic hernia.Journal of extracellular biology · 2024Article
- Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs), including exosomes, are recognized as promising functional targets involved in disease mechanisms. However, the intravital heterogeneity of EVs remains unclear, and the general limitation for analyzing EVs is the need for a certain volume of biofluids. Here, we present cellulose nanofiber (CNF) sheets to resolve these issues. We show that CNF sheets capture and preserve EVs from ~10 μL of biofluid and enable the analysis of bioactive molecules inside EVs. By attaching CNF sheets to moistened organs, we collect EVs in trace amounts of ascites, which is sufficient to perform small RNA sequence analyses. In an ovarian cancer mouse model, we demonstrate that CNF sheets enable the detection of cancer-associated miRNAs from the very early phase when mice did not have apparent ascites, and that EVs from different locations have unique miRNA profiles. By performing CNF sheet analyses in patients, we identify further location-based differences in EV miRNA profiles, with profiles reflecting disease conditions. We conduct spatial exosome analyses using CNF sheets to reveal that ascites EVs from cancer patients exhibit location-dependent heterogeneity. This technique could provide insights into EV biology and suggests a clinical strategy contributing to cancer diagnosis, staging evaluation, and therapy planning.
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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.