Evidence map›Paper›PMID 35748045›Full record

ArticleLangmuir : the ACS journal of surfaces and colloids2022

Nanoscale Features of Tunable Bacterial Outer Membrane Models Revealed by Correlative Microscopy.

Karan Bali, Zeinab Mohamed, Anna Scheeder, Anna-Maria Pappa, Susan Daniel, Clemens F Kaminski, Róisín M Owens, Ioanna Mela

Open access · hybridAbstract read
In one paragraph

Article in Langmuir : the ACS journal of surfaces and colloids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

6 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 3 institutions in 3 countries.

Karan BaliDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
Zeinab MohamedSchool of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0002-6794-276X
Anna ScheederDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.
Anna-Maria PappaDepartment of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi 127788, United Arab Emirates.
Susan DanielSchool of Biomedical Engineering, Cornell University, Ithaca, New York 14853, United States.ORCID 0000-0001-7773-0835
Clemens F KaminskiDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.ORCID 0000-0002-5194-0962
Róisín M OwensDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.ORCID 0000-0001-7856-2108
Ioanna MelaDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge CB3 0AS, U.K.ORCID 0000-0002-2914-9971
University of Cambridge · GBCornell University · USKhalifa University of Science and Technology · AE

Funding

Medical Research Council MR/K015850/1Medical Research Council MR/K02292X/1Wellcome TrustWellcome Trust 089703/Z/09/ZWellcome Trust 3-3249/Z/16/Z
6 · The paper itself

Abstract

The rise of antibiotic resistance is a growing worldwide human health issue, with major socioeconomic implications. An understanding of the interactions occurring at the bacterial membrane is crucial for the generation of new antibiotics. Supported lipid bilayers (SLBs) made from reconstituted lipid vesicles have been used to mimic these membranes, but their utility has been restricted by the simplistic nature of these systems. A breakthrough in the field has come with the use of outer membrane vesicles derived from Gram-negative bacteria to form SLBs, thus providing a more physiologically relevant system. These complex bilayer systems hold promise but have not yet been fully characterized in terms of their composition, ratio of natural to synthetic components, and membrane protein content. Here, we use correlative atomic force microscopy (AFM) with structured illumination microscopy (SIM) for the accurate mapping of complex lipid bilayers that consist of a synthetic fraction and a fraction of lipids derived from

Indexed as

Bacterial Outer MembraneLipid BilayersAnti-Bacterial AgentsEscherichia coliGreen Fluorescent ProteinsHumansMicroscopy, Atomic ForceAnti-Bacterial AgentsGreen Fluorescent ProteinsLipid Bilayers

Identifiers

PMID35748045
PMCPMC9330759
OpenAlexW4283371709

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.