3,404 research outputs found
Conditions that Stabilize Membrane Domains Also Antagonize n-Alcohol Anesthesia
Diverse molecules induce general anesthesia with potency strongly correlated with both their hydrophobicity and their effects on certain ion channels. We recently observed that several n -alcohol anesthetics inhibit heterogeneity in plasma-membrane-derived vesicles by lowering the critical temperature (Tc) for phase separation. Here, we exploit conditions that stabilize membrane heterogeneity to further test the correlation between the anesthetic potency of n -alcohols and effects on Tc. First, we show that hexadecanol acts oppositely to n -alcohol anesthetics on membrane mixing and antagonizes ethanol-induced anesthesia in a tadpole behavioral assay. Second, we show that two previously described “intoxication reversers” raise Tc and counter ethanol’s effects in vesicles, mimicking the findings of previous electrophysiological and behavioral measurements. Third, we find that elevated hydrostatic pressure, long known to reverse anesthesia, also raises Tc in vesicles with a magnitude that counters the effect of butanol at relevant concentrations and pressures. Taken together, these results demonstrate that ΔTc predicts anesthetic potency for n-alcohols better than hydrophobicity in a range of contexts, supporting a mechanistic role for membrane heterogeneity in general anesthesia
To Give or Not To Give: Pandemic Vaccine Donation Policy
The global SARS-CoV-2 (COVID-19) pandemic highlighted the challenge of
equitable vaccine distribution between high- and low-income countries. Many
high-income countries were reluctant or slow to distribute extra doses of the
vaccine to lower-income countries via the COVID-19 Vaccines Global Access
(COVAX) collaboration. In addition to moral objections to such vaccine
nationalism, vaccine inequity during a pandemic could contribute to the
evolution of new variants of the virus and possibly increase total deaths,
including in the high-income countries. Using the COVID-19 pandemic as a case
study, we use the epidemiological model of Holleran et al. that incorporates
virus mutation. We identify realistic scenarios under which a donor country
prefers to donate vaccines before distributing them locally in order to
minimize local deaths during a pandemic. We demonstrate that a nondonor-first
vaccination policy can delay, sometimes dramatically, the emergence of
more-contagious variants. Even more surprising, donating all vaccines is
sometimes better for the donor country than a sharing policy in which half of
the vaccines are donated and half are retained because of the impact donation
can have on delaying the emergence of a more contagious virus. Nondonor-first
vaccine allocation is optimal in scenarios in which the local health impact of
the vaccine is limited or when delaying emergence of a variant is especially
valuable. In all cases, we find that vaccine distribution is not a zero-sum
game between donor and nondonor countries. Thus, in addition to moral reasons
to avoid vaccine nationalism, donor nations can also realize local health
benefits from donating vaccines. The insights yielded by this framework can be
used to guide equitable vaccine distribution in future pandemics.Comment: 21 pages, 4 figures. arXiv admin note: substantial text overlap with
arXiv:2303.0591
Effects of an embedding bulk fluid on phase separation dynamics in a thin liquid film
Using dissipative particle dynamics simulations, we study the effects of an
embedding bulk fluid on the phase separation dynamics in a thin planar liquid
film. The domain growth exponent is altered from 2D to 3D behavior upon the
addition of a bulk fluid, even though the phase separation occurs in 2D
geometry. Correlated diffusion measurements in the film show that the presence
of bulk fluid changes the nature of the longitudinal coupling diffusion
coefficient from logarithmic to algebraic dependence of 1/s, where s is the
distance between the two particles. This result, along with the scaling
exponents, suggests that the phase separation takes place through the Brownian
coagulation process.Comment: 6 pages, 5 figures. Accepted for publication in Europhys. Let
Domain Growth Kinetics in a Cell-sized Liposome
We investigated the kinetics of domain growth on liposomes consisting of a
ternary mixture (unsaturated phospholipid, saturated phospholipid, and
cholesterol) by temperature jump. The domain growth process was monitored by
fluorescence microscopy, where the growth was mediated by the fusion of domains
through the collision. It was found that an average domain size r develops with
time t as r ~ t^0.15, indicating that the power is around a half of the
theoretical expectation deduced from a model of Brownian motion on a
2-dimensional membrane. We discuss the mechanism of the experimental scaling
behavior by considering the elasticity of the membrane
Mitochondrial dysfunction leads to nuclear genome instability: A link through iron-sulfur clusters
Mutations and deletions in the mitochondrial genome (mtDNA), as well as
instability of the nuclear genome, are involved in multiple human diseases. Here we
report that in Saccharomyces cerevisiae, loss of mtDNA leads to nuclear genome
instability, through a process of cell cycle arrest and selection we define as a cellular
crisis. This crisis is not mediated by the absence of respiration, but instead correlates with
a reduction in the mitochondrial membrane potential. Analysis of cells undergoing this
crisis identified a defect in iron-sulfur cluster (ISC) biogenesis, which requires normal
mitochondrial function. We found that down-regulation of non-mitochondrial ISC protein
biogenesis was sufficient to cause increased genomic instability in cells with intact
mitochondrial function. These results suggest mitochondrial dysfunction stimulates
nuclear genome instability by inhibiting the production of ISC-containing protein(s),
which are required for maintenance of nuclear genome integrity
Temporal shifts in the distribution of murine rodent body size classes at Liang Bua (Flores, Indonesia) reveal new insights into the paleoecology of Homo floresiensis and associated fauna
Liang Bua, the type locality of Homo floresiensis, is a limestone cave located in the western part of the Indonesian island of Flores. The relatively continuous stratigraphic sequence of the site spans the past ∼190 kyr and contains ∼275,000 taxonomically identifiable vertebrate skeletal elements, ∼80% of which belong to murine rodent taxa (i.e., rats). Six described genera are present at Liang Bua (Papagomys, Spelaeomys, Hooijeromys, Komodomys, Paulamys, and Rattus), one of which, Hooijeromys, is newly recorded in the site deposits, being previously known only from Early to Middle Pleistocene sites in central Flores. Measurements of the proximal femur (n = 10,212) and distal humerus (n = 1186) indicate five murine body size classes ranging from small (mouse-sized) to giant (common rabbit-sized) are present. The proportions of these five classes across successive stratigraphic units reveal two major changes in murine body size distribution due to significant shifts in the abundances of more open habitat-adapted medium-sized murines versus more closed habitat-adapted smaller-sized ones. One of these changes suggests a modest increase in available open habitats occurred ∼3 ka, likely the result of anthropogenic changes to the landscape related to farming by modern human populations. The other and more significant change occurred ∼60 ka suggesting a rapid shift from more open habitats to more closed conditions at this time. The abrupt reduction of medium-sized murines, along with the disappearance of H. floresiensis, Stegodon florensis insularis (an extinct proboscidean), Varanus komodoensis (Komodo dragon), Leptoptilos robustus (giant marabou stork), and Trigonoceps sp. (vulture) at Liang Bua ∼60-50 ka, is likely the consequence of these animals preferring and tracking more open habitats to elsewhere on the island. If correct, then the precise timing and nature of the extinction of H. floresiensis and its contemporaries must await new discoveries at Liang Bua or other as yet unexcavated sites on Flores
Lateral phase separation in mixtures of lipids and cholesterol
In an effort to understand "rafts" in biological membranes, we propose phenomenological models for saturated and unsaturated lipid mixtures, and lipid-cholesterol mixtures. We consider simple couplings between the local composition and internal membrane structure, and their influence on transitions between liquid and gel membrane phases. Assuming that the gel transition temperature of the saturated lipid is shifted by the presence of the unsaturated lipid, and that cholesterol acts as an external field on the chain melting transition, a variety of phase diagrams are obtained. The phase diagrams for binary mixtures of saturated/unsaturated lipids and lipid/cholesterol are in semi-quantitative agreement with the experiments. Our results also apply to regions in the ternary phase diagram of lipid/lipid/cholesterol systems
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Criticality of plasma membrane lipids reflects activation state of macrophage cells.
Signalling is of particular importance in immune cells, and upstream in the signalling pathway many membrane receptors are functional only as complexes, co-locating with particular lipid species. Work over the last 15 years has shown that plasma membrane lipid composition is close to a critical point of phase separation, with evidence that cells adapt their composition in ways that alter the proximity to this thermodynamic point. Macrophage cells are a key component of the innate immune system, are responsive to infections and regulate the local state of inflammation. We investigate changes in the plasma membrane's proximity to the critical point as a response to stimulation by various pro- and anti-inflammatory agents. Pro-inflammatory (interferon γ, Kdo 2-Lipid A, lipopolysaccharide) perturbations induce an increase in the transition temperature of giant plasma membrane vesicles; anti-inflammatory interleukin 4 has the opposite effect. These changes recapitulate complex plasma membrane composition changes, and are consistent with lipid criticality playing a master regulatory role: being closer to critical conditions increases membrane protein activity.Research was funded by EUMarie Curie action ITN TransPol (EC), NIH-R01GM110052 and NSF10 MCB1552439 (SLV), Cambridge University Commonwealth, European and International Trust 11 (JS) ITN BioPol (PC), and Wellcome Trust Investigator grant 08045/Z/15/Z (CEB)
Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting
We present an analytical method to quantify clustering in super-resolution
localization images of static surfaces in two dimensions. The method also
describes how over-counting of labeled molecules contributes to apparent
self-clustering and how the effective lateral resolution of an image can be
determined. This treatment applies to clustering of proteins and lipids in
membranes, where there is significant interest in using super-resolution
localization techniques to probe membrane heterogeneity. When images are
quantified using pair correlation functions, the magnitude of apparent
clustering due to over-counting will vary inversely with the surface density of
labeled molecules and does not depend on the number of times an average
molecule is counted. Over-counting does not yield apparent co-clustering in
double label experiments when pair cross-correlation functions are measured. We
apply our analytical method to quantify the distribution of the IgE receptor
(Fc{\epsilon}RI) on the plasma membranes of chemically fixed RBL-2H3 mast cells
from images acquired using stochastic optical reconstruction microscopy (STORM)
and scanning electron microscopy (SEM). We find that apparent clustering of
labeled IgE bound to Fc{\epsilon}RI detected with both methods arises from
over-counting of individual complexes. Thus our results indicate that these
receptors are randomly distributed within the resolution and sensitivity limits
of these experiments.Comment: 22 pages, 5 figure
Greywater as a Viable Alternative for Irrigation of 10 Fall-planted Spring-flowering Geophytes Forced for Early Spring Flowering
The world population has topped 8 billion and water scarcity is rising because of the effects of climate change. The addition of plants to interior and exterior spaces has positive emotional, but questionable environmental, benefit when potable water sources are used for maintenance. To preserve potable water for human use, nonpotable resources, such as greywater, may be used as an alternative for the growth of ornamental plants. The purpose of the study was to determine the viability of using greywater for production of 10 fall-planted geophytes forced for early spring flowering. With very few exceptions, the application of greywater did not affect biomass accumulation, nutrient profile, or visual quality of the plant. Only fresh biomass of Allium and Hyacinthus was negatively affected by greywater, with no impacts on dry biomass or visual quality. There were also no negative impacts on plant survival, number of flowers, and flower duration as measured by time to flower senescence. There was an inconsistent effect of greywater irrigation on flowering time but was observed in only 1 of the 3 years for each of the cultivars affected. In the first year, greywater irrigation delayed flowering in Narcissus ‘Dutch Master’ and Tulipa ‘Parade’ an average of 7 and 6 days, respectively, whereas in year 3, greywater irrigation promoted flowering in Iris ×hollandica ‘Sapphire Beauty’ an average of 10 days earlier. Greywater appears to be a viable alternative for container-grown spring-flowering geophytes. This study adds to the body of research showing that greywater should be considered a serious alternative to freshwater for plant growth
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