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Bravo-Miana, R. d. C.

Publications and source records attributed to Bravo-Miana, R. d. C..

2 recordsLinked to original sources

Detergent lysis controls are critical for single extracellular vesicle phenotyping in SP-IRIS platforms

Bulk analytical methods are extensively used to identify molecular cargo in extracellular vesicles (EVs), but they cannot distinguish nanovesicles from co-isolated non-vesicular particles or resolve discrete EV subpopulations. Single-particle interferometric reflectance imaging coupled with immunofluorescence (SP-IRIS/IF) has emerged as a platform to simultaneously resolve particle size, count, and cargo at single-EV resolution. However, differentiating authentic EVs from non-vesicular signals requires rigorous methodological controls that remain widely underreported in standard workflows. In this study, we analyzed human neural secretomes and serum EVs across different SP-IRIS/IF setups to evaluate their analytical specificity. By using detergent-mediated lysis controls, we found a critical technical limitation in standard single-particle analysis: the persistence of both interferometric and fluorescent signals after detergent treatment in a subset of presumed single-EV events that were non-vesicular artifacts. These findings indicate that lacking appropriate controls on single-EV platforms risks data misinterpretation, underscoring the indispensable implementation of detergent-mediated lysis for single-particle analysis in SP-IRIS/IF platforms.

cell biology↗

A proposed workflow to analyze bacterial transcripts in RNAseq from blood extracellular vesicles of people with Multiple Sclerosis

MotivationThe taxonomical characterisation of bacterial species derived from genetic material blood, including reads derived from bacterial extracellular vesicles (bEVs) poses certain challenges, such as the proper discrimination of "true" reads from contaminating reads. This is a common issue in taxa profiling and can lead to the false discovery of species that are present in the sample. To avoid such biases a careful approximation to taxa profiling is necessary. ResultsIn this work we propose a workflow to analyze the presence of bacterial transcripts as indicative of putative bEVs circulating in the blood of people with MS (pwMS). The workflow includes several reference mapping steps against the host genome and a consensus selection of genera based on different taxa profilers. The consensus selection is performed with a flagging system that removes species with low abundance or with high variation across profilers. Additionally, the inclusion of biological samples from known cultured species as well as the generation of artificial reads constitute two key aspects of this workflow. AvailabilityThe workflow is available at the following repository: https://github.com/NanoNeuro/EV_taxprofiling. Contactdavidangel.otaeguibichot@osakidetza.eus

bioinformatics↗