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12,455 results for “Promoters”
NSD3-Short Promotes Migration of A549 Lung Cancer Cells
<p><strong>SGC Open Notebook Project to Characterize the HMTase NSD3</strong></p> <p><strong>Exp025 Objective:</strong> In a previous experiment (exp024), we observed an increase in E-cadherin expression in response to knockdown of the short isoform of NSD3. To determine if this change is functionally relevant, we performed wound healing assays to measure any corresponding alteration in the migratory potential of A549 lung epithelial cancer cells.</p>
Supplemental Figures S1-S8: Direct CD137 costimulation of CD8 T cells promotes retention and innate-like function within nascent atherogenic foci
<p>Supplemental Figures and Table S1-S8 for "Direct CD137 costimulation of CD8 T cells promotes retention and innate-like function within nascent atherogenic foci" H-00088-2019, to the American Journal of Physiology-Heart and Circulatory Physiology.</p>
Supporting dataset for : Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)
<p>This dataset supports the conference paper, 'Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)', <a href="https://doi.org/10.17868/67963">deposited and available in Strathprints</a> and presented at the 14th International Conference Open Repositories (OR2019). It also supports the journal article, 'Enhancing content discovery of open repositories: an analytics-based evaluation of repository optimizations', published in Publications. Full details of these publications are as follows: </p> <ul> <li>Macgregor, G. (2019). <em>Promoting content discovery of open repositories : reviewing the impact of optimization techniques (2016-2019)</em> . (pp. 1-11). Glasgow: University of Strathclyde [Strathprints repository]. Available: <a href="https://doi.org/10.17868/67963">https://doi.org/10.17868/67963</a> </li> <li>Macgregor, G. (2020). Enhancing content discovery of open repositories: an analytics-based evaluation of repository optimizations. <em>Publications</em>, <em>8</em>(1), [8]. <a href="https://doi.org/10.3390/publications8010008">https://doi.org/10.3390/publications8010008</a></li> </ul> <p>The dataset comprises a series of comma-separated values plain text documents (.csv). The .csv files contain data pertaining to COUNTER compliant usage statistics, search query traffic from Google Search Console, web traffic data from Google Analytics and figures on annual full-text repository deposits made to the Strathprints repository. A README.txt is included, describing in more detail the nature and the structure of the data.</p> <p>All data relate to the EPrints repository, <a href="https://strathprints.strath.ac.uk/">Strathprints</a>, based at the University of Strathclyde.</p>
Drivers of renewable energy promotion in the EU-27, 2013-2021
<p><span>27 EU member states data on economic, geographical, environmental and structural indicators for the period 2013-2021</span></p>
Raw data for Jin et. al "Intersectin1 promotes clathrin-mediated endocytosis by organizing and stabilizing endocytic protein interaction networks"
<h2><strong><span>Intersectin1 promotes clathrin-mediated endocytosis by organizing and stabilizing endocytic protein interaction networks</span></strong></h2> <p><span> </span></p> <p><span>Meiyan Jin<sup>1,2*</sup>, Yuichiro Iwamoto<sup>1</sup>, Cyna Shirazinejad<sup>1</sup>, David G. Drubin<sup>1,3**</sup></span></p> <p><sup><span>1 </span></sup><span>Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA</span></p> <p><sup><span>2</span></sup><span> Current Address: Department of Biology, University of Florida, Gainesville, Fl 32611, USA</span></p> <p><sup><span>3</span></sup><span> Lead author</span></p> <p><sup><span>* </span></sup><span>Correspondence: meiyan.jin@ufl.edu</span></p> <p><sup><span>**</span></sup><span>Correspondence: </span><span>drubin@berkeley.edu</span></p>
"Fruity" Dye-based Fluorescent Nanoparticles (dFONs): A Fully Organic Counterpart of Alloy and Core-Shell Metallic Nanoparticles. Tuning Topology to Maximize Nano-interfacial Promoted Fluorescence Enhancement
<p>Data set related to the production of the figures in the article "“Fruity” Dye-based Fluorescent Nanoparticles (dFONs): A Fully Organic Counterpart of Alloy and Core-Shell Metallic Nanoparticles. Tuning Topology to Maximize Nano-interfacial Promoted Fluorescence Enhancement" by Kurek et al.</p> <p> </p> <p>The data are in txt, lif and opju format, organised by figure and sub-figures and compressed. </p>
Source data for manuscript "Polygenic burden of short tandem repeat expansions promote risk of Alzheimer's disease"
<p>Included are the source data and scripts used to make all plots for the mansucript "Polygenic burden of short tandem repeat expansions promote risk of Alzheimer's disease"</p>
Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability
<p>This dataset is used for the working paper "Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability," authored by Fahimnia, Tan, and Tahirov. The data was collected during a laboratory experiment designed based on data from a real case in the fast-moving consumer goods (FMCG) industry. Each subject was assigned to one of the following treatment groups:</p> <ul> <li>T1 - forecasts were made for a nonperishable product (shelf life of 9 months), with no service level information.</li> <li>T2 - forecasts were made for a perishable product (shelf life 1 day), with no service level information.</li> <li>T3 - forecasts were made for a nonperishable product, with a high service level information.</li> <li>T4 - the forecasts were still for a nonperishable product, with a lower service level information.</li> <li>T5 - forecasts were made for a perishable product, with high service level information.</li> <li>T6 - forecasts were made for a perishable product, with low service level information.</li> </ul> <p>A total of 368 subjects prepared four forecasts each. For each forecast, a subject was provided with 30 weeks of sales data, including both normal and promotional weeks. The promotional weeks were highlighted as "Promo." The subjects were asked to provide their forecasts for week 31, basing their forecasts solely on historical data and potential sales promotions. Mean absolute percentage error (MAPE) was used to assess the accuracy of the forecasts. Percentage forecast bias was used to measure the deviation of adjusted forecasts from the normative benchmark forecast.</p> <p>The dataset includes four Excel files, two code script files, and a README file:<br><strong>1. Excel files 1 and 2:</strong><br><strong> "database_analysis.xlsx"</strong>: Contains average adjusted forecasts for each subject during both promotional and non-promotional periods, along with demographic information, calculated MAPE, forecast bias, service level, and product perishability. This file is used as input data in the "data_cleaning.R" script.<br><strong>"database_plot.xlsx"</strong>: This Excel file contains a compact and cleaned version of the data from the first file, excluding outliers, and was used to create visuals such as boxplots.<br><strong>2. Excel Files 3 and 4:</strong><br><strong>"Pool_1_Perishable.xlsx" </strong>and "<strong>Pool_2_Non_Perishable.xlsx"</strong>: Contain real datasets for perishable and non-perishable products used in the experiment.<br><strong>3. Code Script File:</strong><br><strong>"data_cleaning.R"</strong>: This script performs data pre-processing by cleaning and transforming the dataset.<br><strong>"analysis.R"</strong>: This script loads the cleaned data and performs statistical analysis, including ANOVA and hypothesis testing. </p>
Data for: "AMF diversity promotes plant phosphorus acquisition and reduces carbon costs per unit of phosphorus"
<p>Data derived from experimental manipulation of arbuscular mycorrhizal fungal (AMF) diversity from 1-5 AMF species in three plant communities comprised of either legumes, grasses, or non-legume forbs. Radio-isotope labeling of plant carbon (C) and AMF phosphorus (P) enabled an assessment of resource exchange between plant and AMF compositions to complement standard responses of plant biomass and nutrient contents to AMF diversity. </p>
Supplementary files:TSH Promotes Right Ventricle Energy Metabolism Remodeling and Hypertrophy
Open the record for dataset details and reuse information.
Data from: Is tropical montane forest heterogeneity promoted by a resource-driven feedback cycle? Evidence from nutrient relations, herbivory and litter decomposition along a topographical gradient
1. Ridges of tropical mountains often differ strikingly from neighbouring ravines in terms of forest structure, productivity, and species composition. This heterogeneity is poorly understood despite its critical role in biodiversity maintenance, carbon and nutrient budgets. 2. We examined measures of tree biomass and productivity, foliage and litter quality (nutrient concentrations, specific leaf mass, phenolics), herbivory and leaf litter decomposition in each six plots laid out in upper and lower slope position in a tropical montane moist forest in southeastern Ecuador. 3. Productivity, quality of foliage and litter and herbivory were significantly lower in upper slope position and closely correlated with soil nutrient concentrations and accumulated humus. The decomposition of upper slope leaf litter (decomposition rate k) was substantially lower than in litter from lower slope forest, whereas the site of decomposition (slope position) only had a marginal effect on the decomposition rate. 4. Our results suggest that the differences in stand structure, productivity, foliar quality, herbivory and decomposition between slope positions are ultimately due to stronger nutrient limitations in upper slope forest. We propose a general conceptual model that explains origin and maintenance of contrasting forest types along topographical gradients through down-slope fluxes of nutrients and water, and a nutrient-driven positive feedback cycle.
Data from: Niche divergence promotes rapid diversification of East African sky island white-eyes (Aves: Zosteropidae)
The Eastern Afromontane biodiversity hotspot composed of highly fragmented forested highlands (sky islands) harbours exceptional diversity and endemicity, particularly within birds. To explain their elevated diversity within this region, models founded on niche conservatism have been offered, although detailed phylogeographic studies are limited to a few avian lineages. Here we focus on the recent songbird genus Zosterops, represented by montane and lowland members, to test the roles of niche conservatism versus niche divergence in the diversification and colonization of East Africa's sky islands. The species-rich white-eyes are a typically homogeneous family with an exceptional colonizing ability, but in contrast to their diversity on oceanic islands, continental diversity is considered depauperate and has been largely neglected. Molecular phylogenetic analysis reveals extensive polyphyly among different montane populations of Z. poliogastrus with these larger and heavier endemic populations more closely related to taxa with divergent habitat types, altitudinal distributions and dispersal abilities than they are to populations of restricted endemics that occur in neighbouring montane forest fragments. This repeated transition between lowland and highland habitats over time demonstrate that diversification of the focal group is explained by niche divergence. The results also highlight an underestimation of diversity compared to morphological studies that has implications for their taxonomy and conservation. Molecular dating suggests that the spatially extensive African radiation arose exceptionally rapidly (1-2.5 Ma) during the fluctuating Plio-Pleistocene climate, which may have provided the primary driver for lineage diversification.
Innate anti-predator behavior can promote infection in fish even in the absence of predators
<p>Natural enemies - predators and parasites - largely shape the dynamics of ecosystems. It is known that anti-predator and anti-parasite defense can be mutually conflicting, however consequences of this trade-off for the regulation of infection burden in animals are still poorly understood. We hypothesize that even in the absence of cues from predators, innate anti-predator behavior ("ghost of predation past") interferes with defense against parasites and can enhance the infection risk. As a case study, we explore interactions between a commercial species, the rainbow trout <i>Oncorhynchus mykiss,</i> and its parasite, the trematode eye-fluke <em><span>Diplostomum pseudospathaceum. </span></em>Fish-parasite interactions were tested in compartmentalized tanks where shelters and parasites were presented in different combinations providing various conditions for microhabitat choice and territorial behavior. Shelters were attractive and contestable despite the absence of predators and presence of parasites. The individuals fighting for shelters acquired more than twice the number of cercariae as compared to those in infected shelter-free compartments. Most infected were subordinate fish with a higher ventilation rate. Fish possessing shelters were less vulnerable to parasites than fighting fish. Grouping reduced the infection load, although less efficiently than sheltering. Our data demonstrate that the innate anti-predator behavior can undermine anti-parasite tactics of the fish and result in higher infection rates. Using our empirical results, we construct a mathematical model which predicts that enriching the environment in fish farming will be beneficial only when a large number of shelters is provided. Using insufficient number of shelters will increase the parasite burden in the fish.</p>
Data from: Tree phylogenetic diversity promotes host–parasitoid interactions
Evidence from grassland experiments suggests that a plant community's phylogenetic diversity (PD) is a strong predictor of ecosystem processes, even stronger than species richness per se. This has, however, never been extended to species-rich forests and host–parasitoid interactions. We used cavity-nesting Hymenoptera and their parasitoids collected in a subtropical forest as a model system to test whether hosts, parasitoids, and their interactions are influenced by tree PD and a comprehensive set of environmental variables, including tree species richness. Parasitism rate and parasitoid abundance were positively correlated with tree PD. All variables describing parasitoids decreased with elevation, and were, except parasitism rate, dependent on host abundance. Quantitative descriptors of host–parasitoid networks were independent of the environment. Our study indicates that host–parasitoid interactions in species-rich forests are related to the PD of the tree community, which influences parasitism rates through parasitoid abundance. We show that effects of tree community PD are much stronger than effects of tree species richness, can cascade to high trophic levels, and promote trophic interactions. As during habitat modification phylogenetic information is usually lost non-randomly, even species-rich habitats may not be able to continuously provide the ecosystem process parasitism if the evolutionarily most distinct plant lineages vanish.
Data from: Functional diversity promotes phytoplankton resource use efficiency
1.Understanding the relationship between biodiversity and ecosystem functioning (BEF) is a central topic in ecology. Multi‐traits based functional diversity has been proposed to improve mechanistic understanding of the BEF relationship; however, how trait‐based functional diversity affects ecosystem functioning and processes has rarely been addressed in aquatic ecosystems. 2.Here, we examined the causal relationships between three phytoplankton functional diversity indices (FAD2, FDc, FRic) and Shannon diversity index versus resource use efficiency for nitrogen (RUEN), phosphorus (RUEP), and silicate (RUESi), with monthly long‐term datasets from the marine (Western English Channel, 2000 ‐ 2014) and freshwater (Lake Kasumigaura, 1984 ‐ 2012) ecosystems. 3.We employed Convergent Cross Mapping (CCM), a novel method developed for identifying causality for nonlinear dynamical systems; this is in contrast to linear approaches that cannot distinguish causality from correlation. CCM found that FDc is the most robust functional diversity index among the selected functional diversity indices (FAD2, FDc, FRic) in predicting phytoplankton resource use efficiency and exhibited a much stronger causal effect than the Shannon index. 4.Furthermore, scenario exploration analysis indicates that most causal effects from phytoplankton diversity indices on resource use efficiency (RUEN, RUEP, and RUESi) are on average positive, and FDc exhibited the most consistent positive causal effects on phytoplankton resource efficiency in both marine and freshwater ecosystems. Thus, increasing FDc can enhance phytoplankton resource use efficiency in aquatic ecosystems. 5.Synthesis. Our results show significant causal effects of functional diversity on phytoplankton resource use efficiency in both marine and freshwater ecosystems. Among all selected functional diversity indices, FDc is the most robust functional diversity index in promoting phytoplankton resource efficiency. Our study provides empirical evidences in natural aquatic systems that trait‐based functional diversity represents better species niche partitioning than the Shannon index and thereafter enhances resource use efficiency. This finding can improve our understanding on trophic transfer and nutrient cycling in aquatic ecosystems.
Data from: Resource competition promotes tumour expansion in experimentally evolved cancer
Tumour progression involves a series of phenotypic changes to cancer cells, each of which presents therapeutic targets. Here, using techniques adapted from microbial experimental evolution, we investigate the evolution of tumour spreading - a precursor for metastasis and tissue invasion - in environments with varied resource supply. Evolutionary theory predicts that competition for resources within a population will select for individuals to move away from a natal site (i.e. disperse), facilitating the colonisation of unexploited resources and decreasing competition between kin. After approximately 100 generations in environments with low resource supply, we find that MCF7 breast cancer spheroids (small in vitro tumours) show increased spreading. Conversely, spreading slows compared to the ancestor where resource supply is high. Common garden experiments confirm that the evolutionary responses differ between selection lines; with lines evolved under low resource supply showing a plastic spreading phenotype. These differences in spreading behaviour between selection lines are heritable (stable across multiple generations), and show that the divergently evolved lines differ in their response to resource supply. It is possible that prolonged resource limitation itself causes a stable switch toward dispersal-like behaviour and an increased sensitivity to resource availability without the need for genetic change. Different clinical strategies may be needed depending on whether tumour progression is due to stable or plastic effects. This study highlights the effectiveness of experimental evolution approaches in cancer cell populations and demonstrates how simple model systems might enable us to observe and measure key selective drivers of clinically important traits.
Data from: Behavioral and morphological traits interact to promote the evolution of alternative reproductive tactics in a lizard
Alternative reproductive tactics (ARTs) are predicted to be the result of disruptive correlational selection on suites of morphological, physiological and behavioral traits. ARTs are most obvious when they occur in discrete morphs with concomitant behavioral tactics. However, ARTs driven by behavior, in species lacking obvious phenotypic differences, are rarely documented and poorly understood. We quantified selection acting on phenotypic traits predicted to characterize ARTs by observing marked lizards in six semi-natural populations. We quantified reproductive fitness for each male using 6 microsatellite DNA loci from 226 offspring born to 56 females. Candidate models containing directional and correlational selection gradients were equally supported. As predicted, large males with large home ranges and large males who were observed frequently had the highest reproductive success. We also found evidence that large males that moved little, but were observed frequently and large males which moved frequently, but were observed little, were predicted to have high fitness. Model predictions support our verbal hypothesis regarding the phenotypes characterizing ARTs and suggest that large males may be adopting subtly different tactics to acquire paternity. Our results suggest that disruptive correlational selection between behavioral traits may drive the evolution of ARTs in 'cryptic' systems that lack overt polymorphisms.
A visible-light promoted amine oxidation catalyzed by a Cp*Ir complex
<p>Data underlying the figures in the publication “A visible-light promoted amine oxidation catalyzed by a Cp*Ir complex”, published in <em>ChemCatChem,</em> <strong>2020</strong>, 12, 4512–4516. <a href="https://chemistry-europe.onlinelibrary.wiley.com/doi/full/10.1002/cctc.202000488">https://chemistry-europe.onlinelibrary.wiley.com/doi/full/10.1002/cctc.202000488</a></p> <p>Table of contents:</p> <p><strong>1. Scheme 2d</strong>; Excel file with the numerical values of fluorescent intensities in <em>Scheme 2d</em> (raw data).</p> <p><strong>2. Scheme 3b</strong>; Excel file with the numerical values of time-course evolution of compound <strong>22</strong>, <strong>23</strong>, and <strong>24</strong> in <em>Scheme 3b</em>.</p> <p><strong>3. Scheme 3c</strong>; Excel file with the numerical values of time-course H<sub>2</sub>O<sub>2</sub> evolution in <em>Scheme 3c</em> (calculated based on UV-vis absorption by using a calibration curve).</p> <p><strong>4. Scheme 4a</strong>; Excel file with the numerical values of UV-vis spectra in <em>Scheme 4a</em> (raw data).</p>
Data from: Meiofauna promotes litter decomposition in stream ecosystems depending on leaf species
<p>Litter decomposition, a fundamental process of nutrient cycling and energy flow in freshwater ecosystems, is driven by a diverse array of decomposers. As an important component of the heterotrophic food web, meiofauna can provide a trophic link between leaf-associated microbes (i.e., bacteria and fungi)/plant detritus and macroinvertebrates, though their contribution to litter decomposition is not well understood. To investigate the role of different decomposer communities in litter decomposition, especially meiofauna, we compared the litter decomposition of three leaf species with different lignin to nitrogen ratios in litter bags with different mesh sizes (0.05, 0.25, and 2 mm) in a forested stream, in China for 78 days. The meiofauna significantly enhanced the decomposition of leaves of high- and medium-quality, while decreasing (negative effect) or increasing (positive effect) the fungal biomass and diversity. Macrofauna and meiofauna together contributed to the decomposition of low-quality leaf species. The presence of meiofauna and macrofauna triggered different aspects of the microbial community, with their effects on litter decomposition varying as a function of leaf quality. This study reveals that the meiofauna increased the trophic complexity and modulated their interactions with microbes, highlighting the important yet underestimated role of meiofauna in detritus-based ecosystems.</p>
The chicken pan-genome reveals gene content variation and a promoter region deletion in IGF2BP1 affecting body size
<p></p><p>Domestication and breeding have reshaped the genomic architecture of chicken, but the retention and loss of genomic elements during these evolutionary processes remain unclear. We present the first chicken pan-genome constructed using 664 individuals, which identified an additional ∼66.5 Mb sequences that are absent from the reference genome (GRCg6a). The constructed pan-genome encoded 20,491 predicated protein-coding genes, of which higher expression level are observed in conserved genes relative to dispensable genes. Presence/absence variation (PAV) analyses demonstrated that gene PAV in chicken was shaped by selection, genetic drift, and hybridization. PAV-based GWAS identified numerous candidate mutations related to growth, carcass composition, meat quality, or physiological traits. Among them, a deletion in the promoter region of IGF2BP1 affecting chicken body size is reported, which is supported by functional studies and extra samples. This is the first time to report the causal variant of chicken body size QTL located at chromosome 27 which was repeatedly reported. Therefore, the chicken pan-genome is a useful resource for biological discovery and breeding. It improves our understanding of chicken genome diversity and provides materials to unveil the evolution history of chicken domestication.</p><p></p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
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.