Evidence map›Paper›PMID 39141290›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Methods to Analyze the Surface Composition of Bacterial Membrane Vesicles.

Angela C Brown

Abstract read
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In one paragraph

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. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Angela C BrownDepartment of Chemical and Biomolecular Engineering, Lehigh University, Bethlehem, PA, USA. Acb313@lehigh.edu.

Funding

Controlled antibiotic delivery vehicle for treatment of aggressiveperiodontitisR21DE032153 · NIDCR · LEHIGH UNIVERSITY · PI BROWN, ANGELA C. · 2023 to 2024
$408k
NIDCR NIH HHS R21 DE032153Pennsylvania Department of Health 4100095607
6 · The paper itself

Abstract

Bacterial membrane vesicles (BMVs) are small, spherical structures released by Gram-positive and Gram-negative bacteria that play essential roles in intercellular communication, nutrient acquisition, and antibiotic resistance. BMVs typically range from 40 to 400 nm in diameter and contain a single membrane derived from the bacterial membrane, comprising proteins, lipids, nucleic acids, and other biomolecules. Notably, the molecules located on the surface of BMVs facilitate interactions with neighboring cells, including the transfer of functional genes, coordination of bacterial growth through quorum sensing, and delivery of toxins during infections. In addition, BMVs exhibit heterogeneity in their surface composition, which influences their interactions with host and bacterial cells. It is therefore essential to understand not just the composition of BMVs, but the localization of the molecules of interest, particularly those on the surface. In this chapter, we describe several methods that can be used to quantify and characterize the protein and nucleic acid composition, particularly on the surface of BMVs. We describe quantitative immunoblot and ELISA protocols that enable quantification of the concentration of a particular protein of interest. We also describe an enzymatic digestion protocol to determine whether the protein of interest is located on the surface or within the lumen of the BMV, as well as a nucleic acid staining procedure that enables quantification of dsDNA specifically located on the surface of the BMVs. Together, these tools provide a detailed analysis of the protein and nucleic acid composition of BMVs that can be further combined with various separation techniques to study variations within different populations.

Indexed as

Cell MembraneBacteriaBacterial ProteinsEnzyme-Linked Immunosorbent AssayExtracellular VesiclesBacterial ProteinsBacterial membrane vesicles (BMVs)CompositionDNAHeterogeneityMembrane vesicles (MVs)Outer membrane vesicles (OMVs)Protein

Identifiers

PMID39141290

What OpenQuestion holds

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Registered trials

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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.