Laboratory Membrane Systems

Yèagle, Philip L.

doi:10.1016/b978-0-12-800047-2.00006-1

Cited by 5 publications

(7 citation statements)

References 30 publications

(30 reference statements)

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“…The shape of the QCM sensogram of the vesicle binding and rupture as well as the frequency shift (23.8 Hz, corrected for 0.3 Hz/min drift) is comparable to literature and previous work in our group (24 ± 1 Hz). − The frequency shift corresponds to mass of 431 ng/cm 2 . DOPC weighs 734 g/mol and has a lipid footprint of 0.72 nm 2 , , resulting in an expected mass of 339 ng/cm 2 for a double layer. Below the SLB, a small hydration layer of ∼1 nm is normally present. , In this case 92 ng/cm 2 of water was found, indicating a water layer of 0.92 nm below the SLB.…”

Section: Resultsmentioning

confidence: 99%

Streptavidin Coverage on Biotinylated Surfaces

Hamming

Huskens

2021

ACS Appl. Mater. Interfaces

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Biosensors and other biological platform technologies require the functionalization of their surface with receptors to enhance affinity and selectivity. Control over the functionalization density is required to tune the platform’s properties. Streptavidin (SAv) monolayers are widely used to immobilize biotinylated proteins, receptors, and DNA. The SAv density on a surface can be varied easily, but the predictability is dependent on the method by which the SAv is immobilized. In this study we show a method to quantitatively predict the SAv coverage on biotinylated surfaces. The method is validated by measuring the SAv coverage on supported lipid bilayers with a range of biotin contents and two different main phase lipids and by using quartz crystal microbalance and localized surface plasmon resonance. We explore a predictive model of the biotin-dependent SAv coverage without any fit parameters. Model and data allow to predict the SAv coverage based on the biotin coverage, in both the low- and high-density regimes. This is of special importance in applications with multivalent binding where control over surface receptor density is required, but a direct measurement is not possible.

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Section: Resultsmentioning

confidence: 99%

Streptavidin Coverage on Biotinylated Surfaces

Hamming

Huskens

2021

ACS Appl. Mater. Interfaces

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“…There are several model membranes that are commonly utilised and usually include the use of either a single leaflet of a membrane (monolayer) or both leaflets (bilayer) and can include singular or multiple components, such as different species of phospholipids. Membrane models include, but are not limited to: liposomes, supported lipid bilayers, lipid monolayers, and lipid mesophases (Pomorski et al, 2014 ; Yeagle, 2016 ). The physical properties of these models, such as their size, structure and fluidity, in the absence and presence of antimicrobial compounds can be studied with a range of surface/interface sensitive and bulk measurement techniques.…”

Section: Biophysical Approaches To Studying Membrane–biocide Interact...mentioning

confidence: 99%

Assessing the risk of resistance to cationic biocides incorporating realism-based and biophysical approaches

Fox

Kelly

Humphreys

et al. 2021

Journal of Industrial Microbiology and Biotechnology

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The control of microorganisms is a key objective in disease prevention and in medical, industrial, domestic, and food-production environments. Whilst the effectiveness of biocides in these contexts is well-evidenced, debate continues about the resistance risks associated with their use. This has driven an increased regulatory burden, which in turn could result in a reduction of both the deployment of current biocides and the development of new compounds and formulas. Efforts to balance risk and benefit are therefore of critical importance and should be underpinned by realistic methods and a multi-disciplinary approach, and through objective and critical analyses of the literature. The current literature on this topic can be difficult to navigate. Much of the evidence for potential issues of resistance generation by biocides is based on either correlation analysis of isolated bacteria, where reports of treatment failure are generally uncommon, or laboratory studies that do not necessarily represent real biocide applications. This is complicated by inconsistencies in the definition of the term resistance. Similar uncertainties also apply to cross-resistance between biocides and antibiotics. Risk assessment studies that can better inform practice are required. The resulting knowledge can be utilised by multiple stakeholders including those tasked with new product development, regulatory authorities, clinical practitioners, and the public. This review considers current evidence for resistance and cross-resistance and outlines efforts to increase realism in risk assessment. This is done in the background of the discussion of the mode of application of biocides and the demonstrable benefits as well as the potential risks.

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“…Other models exist, like bicelles or supported lipid bilayers, but, as they are rarely used with the techniques presented in this review, they are not discussed. For a more complete description of the different classes of membrane models, the reader can refer to other reviews [46,47].…”

Section: Biomimetic Membrane Modelsmentioning

confidence: 99%

“…As suggested by their name, lipid monolayers are constituted of a single layer located at the air-water interface, and mimic the outer leaflet of the membrane. The hydrophobic hydrocarbon chains orient towards the air phase and are perpendicular to the interface, whereas polar head groups are immersed into the aqueous medium [46] ( Figure 1C). To study their interactions with lipids, exogenous molecules are injected into the aqueous phase and diffuse freely in the system.…”

Section: Biomimetic Membrane Modelsmentioning

confidence: 99%

Contributions and Limitations of Biophysical Approaches to Study of the Interactions between Amphiphilic Molecules and the Plant Plasma Membrane

Furlan

Laurin

Botcazon

et al. 2020

Plants

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Some amphiphilic molecules are able to interact with the lipid matrix of plant plasma membranes and trigger the immune response in plants. This original mode of perception is not yet fully understood and biophysical approaches could help to obtain molecular insights. In this review, we focus on such membrane-interacting molecules, and present biophysically grounded methods that are used and are particularly interesting in the investigation of this mode of perception. Rather than going into overly technical details, the aim of this review was to provide to readers with a plant biochemistry background a good overview of how biophysics can help to study molecular interactions between bioactive amphiphilic molecules and plant lipid membranes. In particular, we present the biomimetic membrane models typically used, solid-state nuclear magnetic resonance, molecular modeling, and fluorescence approaches, because they are especially suitable for this field of research. For each technique, we provide a brief description, a few case studies, and the inherent limitations, so non-specialists can gain a good grasp on how they could extend their toolbox and/or could apply new techniques to study amphiphilic bioactive compound and lipid interactions.

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Laboratory Membrane Systems

Cited by 5 publications

References 30 publications

Streptavidin Coverage on Biotinylated Surfaces

Streptavidin Coverage on Biotinylated Surfaces

Assessing the risk of resistance to cationic biocides incorporating realism-based and biophysical approaches

Contributions and Limitations of Biophysical Approaches to Study of the Interactions between Amphiphilic Molecules and the Plant Plasma Membrane

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