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1,667 results for “susceptibility”
Non-susceptible landslide areas in Italy and in the Mediterranean region
<p>We used landslide information for 13 study areas in Italy and morphometric information obtained from the 3-arcseconds shuttle radar topography mission digital elevation model (SRTM DEM) to determine areas where landslide susceptibility is expected to be negligible in Italy and in the landmasses surrounding the Mediterranean Sea. The morphometric information consisted of the local terrain slope which was computed in a square 3 × 3-cell moving window, and in the regional relative relief computed in a circular 15 × 15-cell moving window. We tested three different models to classify the "non-susceptible" landslide areas, including a linear model (LNR), a quantile linear model (QLR), and a quantile, non-linear model (QNL). We tested the performance of the three models using independent landslide information presented by the Italian Landslide Inventory (<em>Inventario Fenomeni Franosi in Italia</em> – IFFI). Best results were obtained using the QNL model. The corresponding zonation of non-susceptible landslide areas was intersected in a geographic information system (GIS) with geographical census data for Italy. The result determined that 57.5% of the population of Italy (in 2001) was located in areas where landslide susceptibility is expected to be negligible. We applied the QNL model to the landmasses surrounding the Mediterranean Sea, and we tested the synoptic non-susceptibility zonation using independent landslide information for three study areas in Spain. Results showed that the QNL model was capable of determining where landslide susceptibility is expected to be negligible in the validation areas in Spain. We expect our results to be applicable in similar study areas, facilitating the identification of non-susceptible landslide areas, at the synoptic scale.</p>
IODP Expedition 350 Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 350 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
IODP Expedition 376 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
IODP Expedition 376 Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
50000 SNPs for genomic prediction of ash dieback susceptibility in European Ash
<p>This file is <a href="https://www.nature.com/articles/s41559-019-1036-6">Stocks et al (2019)</a> Supplementary Table 7j with major allele (MAA) and minor allele (MIA) identities added.<br> Estimated effect sizes (EES) from genomic prediction model trained on the pool-seq data using the top 50000 SNPs from the pool-seq GWAS<br> Contig = Contig in BATG0.5 assembly <br> Pos = SNP location in contig <br> EES.MIA = Estimated effect size of minor allele <br> EES.MIA.SE = Standard Error of Estimated effect size of minor allele<br> EES.MAA = Estimated effect size of major allele<br> EES.MAA.SE = Standard Error of Estimated effect size of major allele <br> MIA = identity of minor allele <br> MAA = identity of major allele</p>
IODP Expedition 385 Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 385 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group
<p>Example datasets and code for the recommended implementation of Quantitative Susceptibility Mapping (QSM) in "Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group".</p>
IODP Expedition 396 Magnetic susceptibility (KappaBridge)
<p>Bulk magnetic susceptibility and anisotropy of magnetic susceptibility (AMS) were measured on discrete samples using an Agico KLY-4 KappaBridge susceptibility meter. Report includes individual and average principal susceptibilities, inclination and declination of principal susceptibilities, and volume-corrected bulk susceptibility.</p>
IODP Expedition 396 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
IODP Expedition 396 Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 374 Magnetic susceptibility (KappaBridge)
<p>Bulk magnetic susceptibility and anisotropy of magnetic susceptibility (AMS) were measured on discrete samples using an Agico KLY-4 KappaBridge susceptibility meter. Report includes individual and average principal susceptibilities, inclination and declination of principal susceptibilities, and volume-corrected bulk susceptibility.</p>
IODP Expedition 354 Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 354 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
MHC class II genes mediate susceptibility and resistance to coronavirus infections in bats
<p>Understanding the immunogenetic basis of coronavirus (CoV) susceptibility in major pathogen reservoirs, such as bats, is central to infer their zoonotic potential. Members of the cryptic <em>Hipposideros</em> bat species complex differ in CoV susceptibility, but the underlying mechanisms remain unclear. The genes of the major histocompatibility complex (MHC) are the best understood genetic basis of pathogen resistance, and differences in MHC diversity are one possible reason for asymmetrical infection patterns among closely related species. Here, we aimed to link asymmetries in observed CoV (CoV-229E, CoV-2B, and CoV-2Bbasal) susceptibility to immunogenetic differences amongst four <em>Hipposideros</em> bat species. From the 2,072 bats assigned to their respective species using the mtDNA cytochrome b gene, members of the most numerous and ubiquitous species, <em>Hipposideros caffer</em> D, were most infected with CoV-229E and SARS-related CoV-2B. Using a subset of 569 bats we determined that much of the existent allelic and functional (i.e., supertype) MHC DRB class II diversity originated from common ancestry. One MHC supertype shared amongst all species, ST12, was consistently linked to susceptibility with CoV-229E, which is closely related to the common cold agent HCoV-229E, and infected bats with ST12 had a lower body condition. The same MHC supertype was connected to resistance to CoV-2B, and bats with ST12 were less likely be co-infected with CoV-229E and CoV-2B. Our work suggests a role of immunogenetics in determining CoV susceptibility in bats. We advocate for the preservation of functional genetic and species diversity in reservoirs as means of mitigating the risk of disease spillover.</p>
IODP Expedition 369 Magnetic susceptibility (point or contact system)
<p>Magnetic susceptibility was measured on section halves on the Section Half Multisensor Logger (SHMSL) using a Bartington MS2 meter and either a MS2E or MS2K probe. Because all JRSO cores meet minimum size requirements for these two probes, MSPOINT data are corrected for volume and recorded in SI susceptibility units (x10<sup>-5</sup>).</p>
IODP Expedition 369 Magnetic susceptibility (whole round)
<p>Magnetic susceptibility was measured on whole-round sections (and rarely section halves) on the Whole-Round Multisensor Logger (WRMSL) and/or Special Task Multisensor Logger (STMSL) using a Bartington MS2 meter and a 90 mm or 80 mm MS2C loop. As volume of the sample is not controlled for this experiment, susceptibility units are recorded in instrument units and are not volume-corrected.</p>
Decreased FAM13B expression increases atrial fibrillation susceptibility by regulating sodium current and calcium handling
<p><strong>Objectives</strong>: To determine the causal genetic variant and gene and the mechanism for the atrial fibrillation (AF) genome wide association study (GWAS) locus on chromosome 5q31.</p> <p><strong>Background</strong>: <em>FAM13B</em> expression is strongly associated with the lead AF GWAS variant at 5q31. However, the regulatory variant controlling <em>FAM13B</em> expression and the mechanism by which <em>FAM13B</em> impacts AF susceptibility are not known.</p> <p><strong>Methods</strong>: Bioinformatics, reporter gene transfections, gel shifts, and gene editing were used to identify the variant regulating <em>FAM13B</em> expression. RNAseq after <em>FAM13B</em> knockdown in stem cell-derived cardiomyocytes (iCMs) identified downstream processes. Patch clamp and calcium transient assays were used to assess downstream mechanisms. <em>Fam13b</em> knockout (KO) mice were studied for heart structural and functional changes, and pacing-induced arrhythmia.</p> <p><strong>Results</strong>: rs17171731 was identified as the regulatory variant controlling <em>FAM13B</em> expression, with decreased enhancer activity of the risk allele. Knockdown of <em>FAM13B</em> in iCMs altered expression of >1000 genes including <em>SCN2B</em> and led to pro-arrhythmogenic changes in the late sodium current and Ca<sup>2+</sup> cycling. FAM13B is a member of the Rho GTPase-activating protein (RhoGAP) gene family, but failed to demonstrate RhoGAP activity. GFP-tagged <em>FAM13B</em> expressed in iCMs localized at the Z-disc and plasma membrane. Fam13b knockout mice had increased basal p-wave duration and QT interval, and were more susceptible to pacing-induced arrhythmias vs. controls.</p> <p><strong>Conclusions</strong>: This study went from an AF GWAS locus to identify the causal variant and gene, mechanisms for this association, and confirmed arrhythmia susceptibility in <em>Fam13b</em> KO mice. FAM13B and downstream effectors are potential targets for patient-specific therapeutics.</p>
Akkermansia muciniphila reduces diet-induced susceptibility to Listeria monocytogenes infection
<p>A high fat (HF) diet decreases levels of <em>Akkermansia muciniphila</em> in the gut and reduces resistance to the foodborne pathogen <em>Listeria monocytogenes</em>. We demonstrate that short-term gavage with <em>A. muciniphila</em> increases resistance to oral and systemic <em>L. monocytogenes</em> infection in mice fed a HF diet. <em>A. muciniphila</em> normalized diet-induced inflammation in the gut and liver prior to infection and reduced inflammatory cell infiltration in the ileum to levels similar to mice fed a low fat diet. <em>A. muciniphila</em> administration had minimal impact upon the microbiota and microbial metabolites and did not affect individual taxa or impact the Bacteroidetes to Firmicutes ratio. In summary, <em>A. muciniphila</em> increased resistance to <em>L. monocytogenes</em> infection in mice fed a HF diet, through normalising immune/physiological effects that more closely resembled mice fed a LF diet. The findings suggest an interaction between <em>A. muciniphila</em> and the host to reverse the effects of a westernized diet in this model.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.