308 research outputs found
Observation of wave turbulence in vibrating plates
The nonlinear interaction of waves in a driven medium may lead to wave
turbulence, a state such that energy is transferred from large to small
lengthscales. Here, wave turbulence is observed in experiments on a vibrating
plate. The frequency power spectra of the normal velocity of the plate may be
rescaled on a single curve, with power-law behaviors that are incompatible with
the weak turbulence theory of D{\"u}ring et al. [Phys. Rev. Lett. 97, 025503
(2006)]. Alternative scenarios are suggested to account for this discrepancy --
in particular the occurrence of wave breaking at high frequencies. Finally, the
statistics of velocity increments do not display an intermittent behavior
Thermoremanence anomaly in Fe-Zr(B,Cu) Invar metallic glasses: Volume expansion induced ferromagnetism
Characterisation of tumour microenvironment remodelling following oncogene inhibition in preclinical studies with imaging mass cytometry
Mouse models are critical in pre-clinical studies of cancer therapy, allowing dissection of mechanisms through chemical and genetic manipulations that are not feasible in the clinical setting. In studies of the tumour microenvironment (TME), multiplexed imaging methods can provide a rich source of information. However, the application of such technologies in mouse tissues is still in its infancy. Here we present a workflow for studying the TME using imaging mass cytometry with a panel of 27 antibodies on frozen mouse tissues. We optimise and validate image segmentation strategies and automate the process in a Nextflow-based pipeline (imcyto) that is scalable and portable, allowing for parallelised segmentation of large multi-image datasets. With these methods we interrogate the remodelling of the TME induced by a KRAS G12C inhibitor in an immune competent mouse orthotopic lung cancer model, highlighting the infiltration and activation of antigen presenting cells and effector cells
Characterisation of tumour microenvironment remodelling following oncogene inhibition in preclinical studies with imaging mass cytometry.
Mouse models are critical in pre-clinical studies of cancer therapy, allowing dissection of mechanisms through chemical and genetic manipulations that are not feasible in the clinical setting. In studies of the tumour microenvironment (TME), multiplexed imaging methods can provide a rich source of information. However, the application of such technologies in mouse tissues is still in its infancy. Here we present a workflow for studying the TME using imaging mass cytometry with a panel of 27 antibodies on frozen mouse tissues. We optimise and validate image segmentation strategies and automate the process in a Nextflow-based pipeline (imcyto) that is scalable and portable, allowing for parallelised segmentation of large multi-image datasets. With these methods we interrogate the remodelling of the TME induced by a KRAS G12C inhibitor in an immune competent mouse orthotopic lung cancer model, highlighting the infiltration and activation of antigen presenting cells and effector cells
IGF1-mediated human embryonic stem cell self-renewal recapitulates the embryonic niche.
Our understanding of the signalling pathways regulating early human development is limited, despite their fundamental biological importance. Here, we mine transcriptomics datasets to investigate signalling in the human embryo and identify expression for the insulin and insulin growth factor 1 (IGF1) receptors, along with IGF1 ligand. Consequently, we generate a minimal chemically-defined culture medium in which IGF1 together with Activin maintain self-renewal in the absence of fibroblast growth factor (FGF) signalling. Under these conditions, we derive several pluripotent stem cell lines that express pluripotency-associated genes, retain high viability and a normal karyotype, and can be genetically modified or differentiated into multiple cell lineages. We also identify active phosphoinositide 3-kinase (PI3K)/AKT/mTOR signalling in early human embryos, and in both primed and naïve pluripotent culture conditions. This demonstrates that signalling insights from human blastocysts can be used to define culture conditions that more closely recapitulate the embryonic niche
Consequences of converting graded to action potentials upon neural information coding and energy efficiency
Information is encoded in neural circuits using both graded and action potentials, converting between them within single neurons and successive processing layers. This conversion is accompanied by information loss and a drop in energy efficiency. We investigate the biophysical causes of this loss of information and efficiency by comparing spiking neuron models, containing stochastic voltage-gated Na+ and K+ channels, with generator potential and graded potential models lacking voltage-gated Na+ channels. We identify three causes of information loss in the generator potential that are the by-product of action potential generation: (1) the voltage-gated Na+ channels necessary for action potential generation increase intrinsic noise and (2) introduce non-linearities, and (3) the finite duration of the action potential creates a ‘footprint’ in the generator potential that obscures incoming signals. These three processes reduce information rates by ~50% in generator potentials, to ~3 times that of spike trains. Both generator potentials and graded potentials consume almost an order of magnitude less energy per second than spike trains. Because of the lower information rates of generator potentials they are substantially less energy efficient than graded potentials. However, both are an order of magnitude more efficient than spike trains due to the higher energy costs and low information content of spikes, emphasizing that there is a two-fold cost of converting analogue to digital; information loss and cost inflation
Restricted dispersal in a sea of gene flow
Howfar domarine larvae disperse in the ocean? Decades of population genetic
studies have revealed generally low levels of genetic structure at large spatial
scales (hundreds of kilometres). Yet this result, typically based on discrete
sampling designs, does not necessarily imply extensive dispersal. Here, we
adopt a continuous sampling strategy along 950 km of coast in the northwestern
Mediterranean Sea to address this question in four species. In line
with expectations, we observe weak genetic structure at a large spatial scale.
Nevertheless, our continuous sampling strategy uncovers a pattern of isolation
by distance at small spatial scales (few tens of kilometres) in two species. Individual-
based simulations indicate that this signal is an expected signature of
restricted dispersal. At the other extreme of the connectivity spectrum, two
pairs of individuals that are closely related genetically were found more
than 290 km apart, indicating long-distance dispersal. Such a combination of
restricted dispersal with rare long-distance dispersal events is supported by
a high-resolution biophysical model of larval dispersal in the study area,
and we posit that it may be common in marine species. Our results bridge
population genetic studies with direct dispersal studies and have implications
for the design of marine reserve networksVersión del edito
Molecular epidemiology of hepatitis C infection in Cyprus within the general population and high-risk cohorts
The M235T Polymorphism in the AGT Gene and CHD Risk: Evidence of a Hardy-Weinberg Equilibrium Violation and Publication Bias in a Meta-Analysis
BACKGROUND: The M235T polymorphism in the AGT gene has been related to an increased risk of hypertension. This finding may also suggest an increased risk of coronary heart disease (CHD). METHODOLOGY/PRINCIPAL FINDINGS: A case-cohort study was conducted in 1,732 unrelated middle-age women (210 CHD cases and 1,522 controls) from a prospective cohort of 15,236 initially healthy Dutch women. We applied a Cox proportional hazards model to study the association of the polymorphism with acute myocardial infarction (AMI) (n = 71) and CHD. In the case-cohort study, no increased risk for CHD was found under the additive genetic model (hazard ratio [HR] = 1.20; 95% confidence interval [CI], 0.86 to 1.68; P = 0.28). This result was not changed by adjustment (HR = 1.17; 95% CI, 0.83 to 1.64; P = 0.38) nor by using dominant, recessive and pairwise genetic models. Analyses for AMI risk under the additive genetic model also did not show any statistically significant association (crude HR = 1.14; 95% CI, 0.93 to 1.39; P = 0.20). To evaluate the association, a comprehensive systematic review and meta-analysis were undertaken of all studies published up to February 2007 (searched through PubMed/MEDLINE, Web of Science and EMBASE). The meta-analysis (38 studies with 13284 cases and 18722 controls) showed a per-allele odds ratio (OR) of 1.08 (95% CI, 1.01 to 1.15; P = 0.02). Moderate to large levels of heterogeneity were identified between studies. Hardy-Weinberg equilibrium (HWE) violation and the mean age of cases were statistically significant sources of the observed variation. In a stratum of non-HWE violation studies, there was no effect. An asymmetric funnel plot, the Egger's test (P = 0.066), and the Begg-Mazumdar test (P = 0.074) were all suggestive of the presence of publication bias. CONCLUSIONS/SIGNIFICANCE: The pooled OR of the present meta-analysis, including our own data, presented evidence that there is an increase in the risk of CHD conferred by the M235T variant of the AGT gene. However, the relevance of this weakly positive overall association remains uncertain because it may be due to various residual biases, including HWE-violation and publication biases
Changes in heart failure medications in patients hospitalised and discharged
BACKGROUND: To date, evidence-based recommendations help doctors to manage patients with heart failure (HF). However, the implementation of these recommendations in primary care is still problematic as beneficial drugs are infrequently prescribed. The aim of the study was to determine whether admission to hospital increases usage of beneficial HF medication and if this usage is maintained directly after discharge. METHODS: The study was conducted from November 2002 until January 2004. In 77 patients hospitalised with heart failure (HF), the medication prescribed by the referring general practitioner (GP) and drug treatment directed by the hospital physicians was documented. Information regarding the post-discharge (14 d) therapy by the GP was evaluated via a telephone interview. Ejection fraction values, comorbidity and specifics regarding diagnostic or therapeutic intervention were collected by chart review. RESULTS: When compared to the referring GPs, hospital physicians prescribed more ACE-inhibitors (58.4% vs. 76.6%; p = 0.001) and beta-blockers of proven efficacy in HF (metoprolol, bisoprolol, carvedilol; 58.4% vs. 81.8%). Aldosterone antagonists were also administered more frequently in the hospital setting compared to general practice (14.3% vs. 37.7%). The New York Heart Association classification for heart failure did not influence whether aldosterone antagonists were administered either in primary or secondary care. Fourteen days after discharge, there was no significant discontinuity in discharge medication. CONCLUSION: Patients suffering from HF were more likely to receive beneficial medication in hospital than prior to admission. The treatment regime then remained stable two weeks after discharge. We suggest that findings on drug continuation in different cardiovascular patients might be considered validated for patients with HF
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