ArticleNature biotechnology2026
Spatially resolved profiling of extracellular vesicles in tissues with Spatial-EV-seq.
Article in Nature biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Spatial-EV-seq: Mapping the spatial organisation of extracellular vesicles in tissues.Clinical and translational medicine · 2026Article
- iEVIP: a dual-inspired intelligent platform for smart response extracellular vesicle isolation and single-vesicle profiling.Nature communications · 2026Article
- Empowering Extracellular Vesicle Wound Therapy via Local Drug Delivery Systems: Mechanistic Insights and Advanced Stimuli-Responsive Strategies.Gels (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
Extracellular vesicles (EVs) have emerged as promising biomarkers for monitoring physiological homeostasis and pathological progression. However, current analytic methods face limitations in preserving spatial information about EVs and their intricate connections to parental and recipient cells. Here, we present Spatial-EV-seq, a method for in situ spatial profiling of EVs within their native microenvironmental context. Spatial-EV-seq uses an antibody-engineered capture interface to preserve EVs' spatial distribution, followed by rolling circle amplification with EV surface-binding aptamers, enabling fluorescence imaging and molecular profiling of individual EVs. The method integrates ultrasensitive EV profiling, molecular subtyping and high-resolution spatial mapping with transcriptomics to resolve location-specific EV-cell communication networks. In an anti-PD1-treated breast cancer mouse model, we uncover a spatially orchestrated immunosuppressive axis: PDL1
Identifiers
42362724What OpenQuestion holds
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.