Find research datasets worth reusing

Characterization of the peripheral FAAH inhibitor, URB937, in animal models of acute and chronic migraine

This dataset comprises the findings obtained in the study aimed at investigating the effects of URB937, a peripherally restricted fatty-acid amide hydrolase (FAAH) inhibitor, in two rat models that capture aspects of acute and chronic migraine, and are based on single or repeated administration of the vasodilating drug, nitroglycerin (NTG). The orofacial nocifensive behavior and mRNA levels of neuropeptides and pro-inflammatory cytokines along with tissue levels of anandamide and palmitoylethanolamide (PEA) were measured in trigeminal ganglia and medulla. All evaluations were made in rats that received a single injection of URB937 (1 mg/kg i.p.) either before or after NTG administration (10 mg/kg, i.p.) within the acute model, or daily URB937 (1 mg/kg i.p.) injections within the NTG (5 mg/kg, i.p.) chronic model. In the acute migraine model, we also investigated the effect of subtype-selective antagonist for cannabinoid receptors 1 and 2 (AM251 and AM630, respectively). Specifically, we achieved the following evaluations: 1. Measurement of AEA and PEA levels: medulla and trigeminal ganglia were homogenized in cold methanol (2 ml) containing AEA-d4 and PEA-d4 as internal standards. After extraction the lipids were measured using a Xevo TQ UPLC-MS/MS system equipped with a reversed-phase BEH C18 column (2.1 × 50 mm, 1.7 μm particle size) (Waters, Milford, USA). 2. Pain-related behavior in the orofacial formalin test: the face rubbing was measured counting the seconds the animal spent grooming the injected area (upper lip, lateral to the nose) with the ipsilateral forepaw or hindpaw 0–6 min (Phase I) or 12–45 min (Phase II) after formalin injection (50 µl, s.c.). The observation time was divided into 15 blocks of 3 min each. 3. mRNA expression levels: calcitonin gene-related peptide (CGRP), interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-alpha) mRNA were evaluated in in medulla and trigeminal ganglia. mRNA levels were measured by rt-PCR. All samples were assayed in triplicate and gene expression levels were calculated according to 2−∆∆Ct = 2− (∆Ct gene − ∆Ct housekeeping gene) formula by using Ct (cycle threshold) values.

Dataset related to article "Functional characterization and immunomodulatory properties of Lactobacillus helveticus strains isolated from Italian hard cheeses "

This record contains raw datarelated to article "Functional characterization and immunomodulatory properties of Lactobacillus helveticus strains isolated from Italian hard cheeses " Lactobacillus helveticus carries many properties such as the ability to survive gastrointestinal transit, modulate the host immune response, accumulate biopeptides in milk, and adhere to the epithelial cells that could contribute to improving host health. In this study, the applicability as functional cultures of four L. helveticus strains isolated from Italian hard cheeses was investigated. A preliminary strain characterization showed that the ability to produce folate was generally low while antioxidant, proteolytic, peptidase, and β-galactosidase activities resulted high, although very variable, between strains. When stimulated moDCs were incubated in the presence of live cells, a dose-dependent release of both the pro-inflammatory cytokine IL-12p70 and the anti-inflammatory cytokine IL-10, was shown for all the four strains. In the presence of cell-free culture supernatants (postbiotics), a dose-dependent, decrease of IL-12p70 and an increase of IL-10 was generally observed. The immunomodulatory effect took place also in Caciotta-like cheese made with strains SIM12 and SIS16 as bifunctional (i.e., immunomodulant and acidifying) starter cultures, thus confirming tests in culture media. Given that the growth of bacteria in the cheese was not necessary (they were killed by pasteurization), the results indicated that some constituents of non-viable bacteria had immunomodulatory properties. This study adds additional evidence for the positive role of L. helveticus on human health and suggests cheese as a suitable food for delivering candidate strains and modulating their anti-inflammatory properties.

opencc-by-4.0Nov 2013View details →

Fig. 1 in Floristic traits and biogeographic characterization of the Gennargentu massif (Sardinia)

Fig. 1. – Study area in Sardinia.

opencc-by-4.0Nov 2013View details →

Fig. 3 in Floristic traits and biogeographic characterization of the Gennargentu massif (Sardinia)

Fig. 3. – Percentages of the chorologic units, referred to the whole flora.

Data of " Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behavior"

<pre>Data related to the publication (we would be grateful if you could cite the paper in the case in which you are using the data) title = "Micromechanical characterization of the material response in a PA12-SLS fabricated lattice structure and its correlation with bulk behavior", journal = "Polymer Testing", pages = " ", year = "2022", issn = "####", doi = "<a href="https://doi.org/10.1016/j.polymertesting.2022.107556">https://doi.org/10.1016/j.polymertesting.2022.107556</a>", author = "L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segurado, M.A. Monclus"</pre> This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862015

Characterization of a Clematis terniflora DC. coumarin synthase involved in coumarin biosynthesis

Clematis terniflora DC. has been used for anti-inflammatory, antihypertensive and other diseases in some Asian countries, and has high medicinal value. Coumarins are the major secondary metabolites produced by C. terniflora leaves under ultraviolet B (UV-B) radiation followed by dark treatment, but the synthesis of coumarin in C. terniflora has not been fully elucidated. Coumarin synthase is a key enzyme to produce coumarin core structure, which is the first step to form coumarins. Based on previous transcriptome data, we identified a BADH acyltransferase CtCOSY highly expressed in leaves after stresses and characterized it functionally. Experiments have proved that CtCOSY could couple with 4-coumarinyl CoA-ligase in vitro to produce umbelliferone. By analyzing the proteomics and metabolomics of control plants and CtCOSY-silenced plants before and after UV-B followed by dark treatment, we found that double stresses disturbed the energy metabolism pathway and phenylpropanoids synthesis pathway. CtCOSY silencing affected plant’s regulation of primary metabolism to a certain extent, and it also affected the accumulation of compounds in shikimic acid pathway and coumarin synthesis. This study provides evidence that CtCOSY is involved in the synthesis of coumarin in C. terniflora.

opencc-zeroMar 2022View details →

Characterization of Salix nigra floral insect community and activity of three native Andrena bees

Salix nigra (black willow) is a widespread tree that hosts many species of polylectic hymenopterans and oligolectic bees of the genus Andrena. The early flowering of S. nigra makes it an important nutritive resource for insects emerging from hibernation. However, since S. nigra is dioecious, not all insect visits will lead to successful pollination. Using both visual observation and pan-trapping we characterized the community of insects that visited S. nigra flowers and assessed differences among male and female trees as well as the chemical and visual drivers that influenced community composition across three years. We found that male trees consistently supported higher diversity of insects than female trees and only three insect species, all Andrena spp., consistently visited both sexes. Additionally, A. nigrae, which was the only insect that occurred more on female than male flowers, correlated strongly to volatile cues. This suggests that cross-pollinators cue into specific aspects of floral scent, but diversity of floral visitors is driven strongly by visual cues of yellow male pollen. Through time the floral activity of two Andrena species remained stable, but A. nigrae visited less in 2017 when flowers bloomed earlier than other years. When native bee emergence does not synchronize with bloom, activity appears to be diminished which could threaten species that subsist on a single host. Despite the community diversity of S. nigra flowers, its productivity depends on a small fraction of species that are not threatened by competition, but rather by rapidly changing conditions that lead to host-insect asynchrony.

opencc-by-4.0Mar 2022View details →

Dataset: Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography

The ptychography datasets and processed wavefront data in support of the publication "Two-dimensional wavefront characterization of adaptable corrective optics and Kirkpatrick–Baez mirror system using ptychography". File are in the HDF format and contain a number of datasets detailed below. If you require more information, please contact the corresponding author of the publication or thomas.moxham@eng.ox.ac.uk

opencc-by-4.0Dec 2021View details →

Fig. 2 in Diversity Of Mosquitoes (Diptera, Culicidae) And Physico-Chemical Characterization Of Their Larval Habitats In Tizi-Ouzou Area, Algeria

Fig. 2. Study sites location (1— Irdjen; 2 — Ouadhia; 3 — Beni Yenni; 4 — Iboudraren).

opencc-by-4.0Jan 2017View details →

T a b l e 4 in Molecular Characterization Of Lates Niloticus (Perciformes, Latidae) Populations From Three Nigerian Waterbodies Using Random Amplified Polymorphic Dna And Microsatellite Markers

T a b l e 4. Microsatellites results

opencc-by-4.0Apr 2022View details →

Database with characterization factors for material flow accounting (material footprint) for process-based LCA for ecoinvent 3.7.1 and 3.8 in openLCA

This dataset contains extend material-specific material footprint indicators (raw material input RMI and total material requirement TMR) compiled by Mostert and Bringezu (2019) to process-based LCA in form of the databases ecoinvent 3.7.1 and 3.8 (Wernet et al. 2016) with the openLCA software. The scope of the material flows covered here largely fits to the materials list used for the Mineral Resource Scarcity indicator of the ReCiPe life cycle impact assessment (LCIA) method (Huijbregts et al. 2016).

opencc-by-4.0Apr 2022View details →

Supplementary Materials from the article Characterization and molecular evolution analysis of Periploca forrestii inferred from its complete chloroplast genome sequence

Table S1. Base composition of chloroplast genome in P. forrestii, Table S2. The lengths of introns and exons for the splitting genes, Table S3. The GC content of the codons from P. forrestii chloroplast genome, Table S4. Preferred codons in chloroplast genome of P. forrestii, Table S5. Long repeat sequences in the P. forrestii chloroplast genome, Figure S1. Codon bias analysis of P. forrestii chloroplast genome. (A) Neutrality plot analysis; (B) Analysis of PR2 bias plot; (C) Analysis on ENC and GC3 relationship.

opencc-zeroMay 2022View details →

Characterization and microsatellite marker development for Geosmithia obscura, a common bark and ambrosia beetle associate

Background. Symbioses between Geosmithia fungi and wood-boring and bark beetles seldom result in disease induction within the plant host. Yet exceptions exist such as Geosmithia morbida, the causal agent of Thousand Cankers Disease (TCD) of walnuts and wingnuts and Geosmithia sp. 41, the causal agent of Foamy Bark Canker disease of oaks. Isolates of G. obscura were recovered from black walnut trees in eastern Tennessee and at least one isolate induced cankers following artificial inoculation. Due to the putative pathogenicity and lack of recovery of G. obscura from natural lesions, a molecular diagnostic screening tool was developed using microsatellite markers mined from the G. obscura genome. Results. A total of 3,256 candidate microsatellite markers were identified (2236, 789, 137 di-, tri-, and tetra- motifs were identified, respectively), with 2011, 703, 101 di-, tri-, and tetra- motifs containing markers with primers. From these, 75 microsatellite markers were randomly selected, screened, and optimized, resulting in 28 polymorphic markers that yielded single, consistently recovered bands which were used in downstream analyses. Five of these microsatellite markers were found to be specific to G. obscura and did not cross-amplify into other, closely related species. Although the remaining tested markers could be useful, they cross-amplified within different Geosmithia species, making them not reliable for G. obscura detection. Conclusion. Five novel microsatellite markers (GOBS9, GOBS10, GOBS41, GOBS43, GOBS50) were developed based on G. obscura genome. These species-specific microsatellite markers are available as a tool for use in molecular diagnostics and can assist future surveillance studies.

opencc-by-4.0May 2022View details →

Characterizing Subjects Exposed to Humidifier Disinfectants Using Computed Tomography-based Latent Traits: A Deep Learning Approach

Around nine million people had been exposed to toxic humidifier disinfectants (HDs) in Korea. HD-exposure may lead to HD-associated lung injuries (HDLI). However, many people who claimed HD exposure were not diagnosed of HDLI but still felt discomfort possibly due to the unknown effects of HD. Therefore, this study examined HD-exposed subjects with normal appearing lungs as well as unexposed subjects in clusters (subgroups) with distinct characteristics classified by deep-learning-derived computed-tomography (CT)-based tissue-pattern latent traits. Among the major clusters, cluster 0 (C0) and cluster 5 (C5) were dominated by HD-exposed and unexposed subjects, respectively. C0 was characterized by features attributable to lung inflammation or fibrosis compared with C5. The computational fluid and particle dynamics (CFPD) analysis suggested that the smaller airway sizes observed in the C0 subjects led to greater airway resistance and particle deposition in the airways. Accordingly, women appeared more vulnerable to HD-associated lung abnormality than men.

opencc-by-4.0May 2022View details →

PKR-CAL detector, PbWO4 crystals characterization measurements

This dataset contains the data from the different characterization measurements of the PbWO4 crystals for the POKER PKR-CAL detector. Specifically, ten PbWO4 crystals from CRYTUR company were characterized, to assess their properties and determine the technical requirements for the samples to be used in the final detector. The size of the crystals is 20x20x250 mm3. <ul> <li>The file "LongitudinalTransmission.tar" reports the longitudinal transparency measurements performed at the CERN Crystals Laboratory, with a custom spectrophotometer. The spectrophotometer light beam is not polarized, and the crystal  optical axis is aligned perpendicularly to the small crystal face where the beam is impinging on. The file format is "%f %f", where the fist column reports the wavelength (in nm) and the second the optical transparency (in %). The name of each file reports the unique identifier of the crystal it refers to.</li> <li>The file "TransverseTransmission.tar" contains the transverse transparency measurements performed at the Giessen University, using a Hitachi spectrophotometer. The spectrophotometer light beam is not polarized. The light beam has a transverse size (diameter) of about 0.5 cm. For each crystal, the transparency was measured at different positions along the crystal axis. The crystal was aligned so that the Z direction was perpendicular to the growing axis. Each file name is in the format "ID_POS_beforeIrradiation.dat", where "ID" is the unique crystal identifier provided by the manufacture, "POS" is the position along the axis where the measurement was taken (in units of 100 um). The file format is "%f %f", where the fist column reports the wavelenght (in nm) and the second the optical transparency (in %).</li> <li>The file "LightYield.tar" contains the light yield measurements performed at the CERN crystals laboratory, using the "B3" facility. This is based on a setup where an XP2020 PMT is optically coupled to a crystal, and a 60Co source is used to excite the crystal and measure the corresponding light emission. Signals from the XP2020 PMT where acquired and processed with a digital oscilloscope (Lecroy WaveRunner). In the folder, the files "outID.txt", with "ID" being the measured crystal, contain the integrated spectrum from the measurement. The ROOT macro "ana_crs.cpp" can be used to processe these files. The two data-files "single1.txt" and "single2.txt" contains the measurements performed without the radioactive source, in order to normalize the spectra to single-phe units.</li> </ul> This dataset was scrutinized as part of the PKR-CAL crystals R&D, and the obtained results are reported in the PKR-CAL TDR document.

opencc-zeroMay 2022View details →

Data accompanying: Performance characterization of low-cost air sensors for off-grid deployment in rural Malawi

Low-cost gas and particulate sensor packages offer a compact, lightweight, and easily transportable solution to address global gaps in air quality (AQ) observations. However, regions that would benefit most from widespread deployment of low-cost AQ monitors often lack the reference grade equipment required to reliably calibrate and validate them. In this study, we explore approaches to calibrating and validating three integrated sensor packages before a one year deployment to rural Malawi using collocation data collected at a regulatory site in North Carolina, USA. We compare the performance of five computational modelling approaches to calibrate the electrochemical gas sensors: k-Nearest Neighbor (kNN) hybrid, random forest (RF) hybrid, high-dimensional model representation (HDMR), multilinear regression (MLR), and quadratic regression (QR). For the CO, Ox, NO, and NO2 sensors, we found that kNN hybrid models returned the highest coefficients of determination and lowest error metrics when validated. Hybrid models also were the most transferable approach when applied to deployment data collected in Malawi. We compared kNN-hybrid calibrated CO observations from two regions in Malawi to remote sensing data and found qualitative agreement in spatial and annual trends. However, ARISense monthly mean surface observations were 2 to 4 times higher than the remote sensing data, due to proximity to residential biomass combustion activity not resolved by satellite imaging. We also compared the performance of the integrated Alphasense OPC-N2 optical particle counter to a filter-corrected nephelometer using collocation data collected at one of our deployment sites in Malawi. We found the performance of the OPC-N2 varied widely with environmental conditions, with the worst performance associated with high relative humidity (RH > 70%) conditions and influence from emissions from nearby residential biomass combustion. We did not find obvious evidence of systematic sensor performance decay after the one year deployment to Malawi. Data recovery (30-80%) varied by sensor and season and was limited by insufficient power and access to resources at the remote deployment sites. Future low-cost sensor deployments to rural Sub-Saharan Africa would benefit from adaptable power systems, standardized sensor calibration methodologies, and increased regional regulatory grade monitoring infrastructure.

opencc-zeroMay 2022View details →

Characterization data for the EtNAM population and Ethiopian durum wheat landraces diversity panel

In smallholder, low-input farming systems diffused in the Global South, farmers select and propagate crop varieties based on their traditional knowledge and experience. A quantitative integration of their knowledge into breeding pipelines may support the sustainable intensification of local farming. This data entry combines genomics with socioeconomics to tap into traditional knowledge in smallholder farming systems, focusing on durum wheat (Triticum durum Desf.). Data refer to a large nested association mapping (EtNAM) population that we developed by recombining elite international breeding line with Ethiopian traditional varieties maintained by local farmers. This entry carries also molecular and phenotypic data produced on a diversity panel (DP) of Ethiopian landraces previously characterized in four year-location combinations and published in Mengistu et al 2016 (<a href="https://doi.org/10.1111/pbi.12538">https://doi.org/10.1111/pbi.12538</a>). EtNAM lines and DP genotypes were evaluated for agronomic performances and farmers' appreciation in multiple locations, reveailing that gender and location can influence farmers' preference and that women and men farmers can consistently identify the best durum wheat genotypes. We used this data to train a genomic selection (GS) model with farmer scores to show that their prediction accuracy over grain yield was higher than that of the benchmark GS model trained on grain yield. The data was also used in a genome wide association mapping (GWAS) and quantitative trait locus (QTL) mapping to identify genetic determinants of agronomic traits and farmer scores. Our data shows that farmers' traditional knowledge can be integrated in a quantitative framework to increase genetic gain in pre-breeding programs, supporting genomics-driven breeding for local adaptation. The Rdata files contain phenotypic and molecular characterization data for 1,200 recombinant inbred lines (RILs) deriving from the EtNAM and phenotypic and molecular characterization data for 400 durum wheat genotypes in the Ethiopian DP.

opencc-by-4.0Jun 2022View details →

In vivo characterization of antibodies directed against TREAT-AD target proteins in mouse model of AD pathology

In vivo characterization of antibodies directed against TREAT-AD target proteins (Moesin, CD44, Midkine, and SFRP1) in the 5xFAD mouse model

opencc-zeroJun 2022View details →

High-density genomic characterization of native Croatian sheep breeds

A recent comprehensive genomic analysis based on 50K SNP profiles has shown that the regional Balkan sheep populations have considerable genetic overlap but are distinctly different from surrounding breeds. All eight Croatian sheep breeds were represented by a small number of individuals per breed. Here, we genotyped 220 individuals representing the native Croatian sheep breeds (Istrian Sheep, Krk Island Sheep, Cres Island Sheep, Rab Island Sheep, Lika Pramenka, Pag Island Sheep, Dalmatian Pramenka, Dubrovnik Sheep) and mouflon using the Ovine Infinium® HD SNP BeadChip (606,006 SNPs). In addition, we included publicly available Balkan Pramenka and other Mediterranean sheep breeds. Our analyses revealed the complex population structure of Croatian sheep breeds and their origin and geographic barriers (island versus mainland). Migration patterns confirmed the historical establishment of breeds and the pathways of gene flow. Inbreeding coefficients (FROH > 2 Mb) between sheep populations ranged from 0.025 to 0.070, with lower inbreeding coefficients observed in Dalmatian Pramenka and Pag Island Sheep and higher inbreeding in Dubrovnik sheep. The estimated effective population size ranged from 61 to 1039 for Krk Island Sheep and Dalmatian Pramenka, respectively. Higher inbreeding levels and lower effective population size indicate the need for improved conservation management to maintain genetic diversity in some breeds. Our results will contribute to breeding and conservation strategies of native Croatian sheep breeds.