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Found 226 dataset(s) matching "high throughput".
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The objectives of this work were to: 1) develop an integrated analysis of chemical-mediated effects on steroidogenesis in the HT-H295R assay; and, 2) evaluate whether the HT-H295R assay predicts...
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This study generated genetic 'metabarcode' data using high-throughput sequencing to characterize pollen foraging behavior of the endangered rusty-patched bumblebee, Bombus affinis. Pollen samples...
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The dataset contains chemicals that were predicted to activate p53 using the biomarker or using a high throughput assay for p53. This dataset is associated with the following...
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This data set shows high throughput gene expression assessment using RNAseq to examine how ozone-induced transcriptional changes in the lung are influenced by adrenalectomy or adrenal...
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Honey bees (Apis mellifera), a critical agricultural pollinator in many areas, have a high rate of infection with a large DNA virus, Apis mellifera filamentous virus (AmFV), yet little is known...
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ToxCast is used as a cost-effective approach for efficiently prioritizing the toxicity testing of thousands of chemicals. It uses data from state-of-the-art high throughput screening (HTS)...
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The AOP concept was used to translate ToxCast high-throughput screening data into a ToxPi matrix of 1058 chemicals x 24 features ordered by predicted potential to disrupt angiogenesis. This...
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Spaceflight has been shown to suppress the adaptive immune response, altering the distribution and function of lymphocyte populations. B lymphocytes express highly specific and highly diversified...
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Background: Chemicals in consumer products are a major contributor to human chemical co-exposures. Consumers purchase and use a wide variety of products containing potentially thousands of...
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This study generated genetic 'metabarcode' data using high-throughput sequencing to characterize pollen foraging behavior of pollinating bee species on managed field habitat within units of the...
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Background Leptospirosis is an emerging infectious disease. The differential diagnosis of leptospirosis is difficult due to the varied and often "flu like" symptoms which may result in a...
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Clostridium thermocellum is a thermophilic bacterium recognized for its natural ability to effectively deconstruct cellulosic biomass. While there is a large body of studies on the genetic...
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Five chemicals [2-ethylhexyl 4-hydroxybenzoate (2-EHHB), 4-nonylphenol-branched (4-NP), 4-tert-octylphenol (4-OP), benzyl butyl phthalate (BBP) and dibutyl phthalate (DBP) were subjected to a...
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Scientists at NOAA's Northeast Fisheries Science Center (NEFSC) are using environmental DNA (eDNA) to identify fish communities and monitor ecosystems by collecting a water sample and analyzing...
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This research was designed to evaluate whether a biologically-based computational model aligned with an adverse outcome pathway (AOP) could effectively predict animal (in vivo) responses to...
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Data from a large-scale modeling project called CERAPP (Collaborative Estrogen Receptor Activity Prediction Project) demonstrating using predictive computational models on high-throughput...
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- Changes in tissue transcriptomes and productivity of Arabidopsis thaliana were investigated during exposure of plants to two widely used engineered metal oxide nanoparticles, titanium dioxide...
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The files in this data release are the processed DNA consensus sequence alignment files for the chelonid herpesvirus 5 (ChHV-5) genome plus 66 open reading frames representing protien-coding...
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<p>Organisms living in honey bees and honey bee colonies form large associative holobiont communities that are integral to bee biology. High-throughput sequencing approaches to characterize these...
