ArticleMethods in molecular biology (Clifton, N.J.)2024
Molecular Approaches to Measure Bacterial Extracellular Vesicles in Tissue Samples.
Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extracellular vesicles (EVs) are naturally occurring lipid-bound nanoparticles produced by all cell types. Growing work demonstrates the ability of EVs to facilitate long-distance and cross-kingdom communication. Their innate barrier crossing and cell targeting properties make them a uniquely useful starting ground for novel drug delivery platforms. To better understand the endogenous activity and therapeutic potential of EVs, recent work has measured particle circulation and distribution in vivo using several approaches. Here, we describe molecular-based methods for quantifying bacterial EV distribution in collected tissue samples for biodistribution studies. These methods are important for understanding cell-cell communication facilitated by bacterial EVs and for identifying opportunities for using bacterial EVs as a therapeutic platform.
Indexed as
Identifiers
39141305What 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.