Proteomic Profiles of Bacterial Extracellular Vesicles from Human Breast Milk

Natasha Brancazio published this dataset on 2026-03-26. It provides an integrated proteomic and physicochemical characterization of bacterial extracellular vesicles (BEVs) from three Limosilactobacillus fermentum strains isolated from human milk. The dataset includes results from nanoparticle tracking, ζ-potential analysis, nucleic acid quantification, and LC–MS/MS proteomics identifying 851 vesicle-associated proteins.

Use Cases

• Comparative proteomic analysis of bacterial extracellular vesicles based on the 851 identified proteins.
• Studying strain-dependent characteristics based on physicochemical measurements like diameter (133–135 nm) and nucleic acid content.
• Identifying potential host-interaction proteins based on the detection of moonlighting proteins involved in adhesion and immune modulation.
• Assessing cytocompatibility for therapeutic applications based on the MTT assay results with Caco-2 cells.

Strengths

• Proteomic data includes 851 identified vesicle-associated proteins with a conserved core of 495.
• Provides multi-modal characterization including nanoparticle size (133–135 nm), surface charge, and nucleic acid content.
• Data is openly licensed under CC-BY-4.0.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Dataset is small at 1.5 MB, potentially limiting analysis scope.

Provenance

Source

figshare, author Natasha Brancazio.

Collection Method

BEVs were isolated via ultracentrifugation from cultured L. fermentum strains and analyzed using nanoparticle tracking, ζ-potential, nucleic acid/protein quantification, and LC–MS/MS proteomics.

Time Range

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Freshness

Last updated 2026-03-26 12:34:32; freshness should be verified.

Geography

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