ArticleNature methods2024
SEVtras delineates small extracellular vesicles at droplet resolution from single-cell transcriptomes.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Agrin-Enriched Neonatal Spinal Cord-Derived Extracellular Vesicles Bypass Age Barriers to Organize Spinal Cord Repair.Journal of extracellular vesicles · 2026Article
- Tissue-Specific Isolation of Hepatocyte Extracellular Vesicles From Human Plasma Enables Tissue-Resolved Proteomic and miRNA Profiling.Journal of extracellular vesicles · 2026Article
- Size-Based Proteomic Signatures of Extracellular Vesicles Derived from Umbilical Cord Mesenchymal Stem Cells Fractionated by EXODUS.International journal of molecular sciences · 2026Article
- iDCF: Interpretable deconvolution of cell fractions via biologically-informed deep learning using scRNA-seq data.PLoS computational biology · 2026Article
- Single-cell atlas of the mouse ovary reveals molecular drivers of aging and senescence during the estropausal transition.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A comprehensive long RNA landscape of multi-regional porcine lung-derived small extracellular vesicles.BMC genomics · 2026Article
- Review
- Engineering Strategies for Plant-Derived Extracellular Vesicles: Modification, Drug Delivery Performance, and Synergistic Effects with Gel Composite Systems.Pharmaceutics · 2026Review
- Recent advances in machine learning-enhanced extracellular vesicle omics for oncology.Journal of nanobiotechnology · 2026Review
- Deconvolution Methods to Link Multi-Omics Data to Cell Type-Specific Extracellular Vesicle Abundances.Proteomics · 2026Review
- Engineered Exosomal miRNAs for Post-Stroke Neural Repair: Mechanisms, Delivery Strategies, and Translational Challenges.International journal of nanomedicine · 2026Review
- The evolving landscape of spatial proteomics technologies in the AI age.Fundamental research · 2026Review
- Unveiling Heterogeneity: Innovations and Challenges in Single-Vesicle Analysis for Clinical Translation.Journal of extracellular vesicles · 2025Article
- Integrated transcriptome profiling of plasma exosomes reveals molecular stratification of exocrine and endocrine disorders and S100A8-mediated cell interactions in chronic pancreatitis.Cell discovery · 2025Article
- New insights into extracellular vesicles in metastatic cancer: From mechanisms to diagnostics and targeted therapies.Molecular therapy : the journal of the American Society of Gene Therapy · 2025Review
- Multiomic Landscape of Extracellular Vesicles in Human Carotid Atherosclerotic Plaque Reveals Endothelial Communication Networks.Arteriosclerosis, thrombosis, and vascular biology · 2025Article
- Synovial fibroblast derived small extracellular vesicles miRNA15-29148 promotes articular chondrocyte apoptosis in rheumatoid arthritis.Bone research · 2025Article
- Circular RNA discovery with emerging sequencing and deep learning technologies.Nature genetics · 2025Review
- Small extracellular vesicles (sEVs) in pancreatic cancer progression and diagnosis.Journal of controlled release : official journal of the Controlled Release Society · 2025Review
- Extracellular Mitochondrial-Derived Vesicles Affect the Progression of Diabetic Foot Ulcer by Regulating Oxidative Stress and Mitochondrial Dysfunction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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Authors and funding
4 authors.
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Abstract
Small extracellular vesicles (sEVs) are emerging as pivotal players in a wide range of physiological and pathological processes. However, a pressing challenge has been the lack of high-throughput techniques capable of unraveling the intricate heterogeneity of sEVs and decoding the underlying cellular behaviors governing sEV secretion. Here we leverage droplet-based single-cell RNA sequencing (scRNA-seq) and introduce an algorithm, SEVtras, to identify sEV-containing droplets and estimate the sEV secretion activity (ESAI) of individual cells. Through extensive validations on both simulated and real datasets, we demonstrate SEVtras' efficacy in capturing sEV-containing droplets and characterizing the secretion activity of specific cell types. By applying SEVtras to four tumor scRNA-seq datasets, we further illustrate that the ESAI can serve as a potent indicator of tumor progression, particularly in the early stages. With the increasing importance and availability of scRNA-seq datasets, SEVtras holds promise in offering valuable extracellular insights into the cell heterogeneity.
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Registered trials
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