A proposed workflow to robustly analyze bacterial transcripts in RNAseq data from extracellular vesicles
This approach provides valuable insights into the potential role of bEVs in the microbiota-host communication. Finally, this approach is translatable to other experiments using total RNA, where the lack of a robust pipeline can lead to an increased false positive detection of microbial genera. The workflow and instructions on how to use it are available at the following repository: https://github.com/NanoNeuro/EV_taxprofiling.
Authors
- Laura Moles (ORCID: https://orcid.org/0000-0001-6902-2097)
- Tamara Castillo‐Triviño (ORCID: https://orcid.org/0000-0002-9249-3185)
- David Otaegui (ORCID: https://orcid.org/0000-0002-6625-5976)
- Ainhoa Alberro (ORCID: https://orcid.org/0000-0002-9985-5812)
- Alex M. Ascensión (ORCID: https://orcid.org/0000-0002-0013-3052)
- Rocío del Carmen Bravo-Miana (ORCID: https://orcid.org/0000-0002-8806-4572)
- Miriam Gorostidi-Aicua (ORCID: https://orcid.org/0000-0002-4868-3280)
- Ane Otaegui-Chivite (ORCID: https://orcid.org/0000-0001-9565-4733)
Institutions
- Instituto de Salud Carlos III (ES)
- Biomedical Research Networking Center on Neurodegenerative Diseases (ES)
Publication Details
- Journal
- Frontiers in Microbiology
- Published
- 2025-03-20
- DOI
- https://doi.org/10.3389/fmicb.2025.1486661
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 0.00