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136 results for “combined stress”
General Anesthesia Combined With Epidural Anesthesia Mitigates the Surgical Stress-related Immunosuppression in Patients With Colorectal Cancer
ClinicalTrials.gov study NCT01978717. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Effect of Electromagnetic Stimulation Combined With Visceral Manipulation on Stress Urinary Incontinence In Postmenopausal Women
ClinicalTrials.gov study NCT06079528. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Platelet Rich Plasma Combined With Human Umbilical Cord Mesenchymal Stem Cells for Stage 3 and 4 Stress Injury
ClinicalTrials.gov study NCT06302582. IPD Sharing: NO. Countries: 1. Publications: 5.
Data from: Combinations of plant water-stress and neonicotinoids can lead to secondary outbreaks of Banks grass mite (Oligonychus pratensis Banks)
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Data from: Phenotype uniformity in combined-stress environments has a different genetic architecture than in single-stress treatments
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Species-specific responses to combined water stress and increasing temperatures in two bee-pollinated congeners (Echium, Boraginaceae)
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Data from: Combined effects of local habitat, anthropogenic stress, and dispersal on stream ecosystems: a mesocosm experiment
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The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana
<p>Datasets used to train and test random forest and convolutional neural networks to predict transcriptional response patterns to single and combined heat and drought stress in Arabidopsis. Rows correspond to genes. The first column denotes the class with 1 indicating response group and 0 indicating non-responsive group (e.g. "NNU_merged_df.txt": 1 = NNU, 0 = NNN). The remaining columns are the pCRE and pCRE-omic overlap features, where "1" denotes the pCRE is present in the promoter region of that gene (or present and overlaping with the omic-feature) and "0" denotes the pCRE is not present (or present but not overlapping with the omic-feature). Feature names indicate the pCRE and omic-feature: "pCRE_OmicFeature" </p> <p><strong>For more information on how these datasets were generated and code used to implement and interpret the machine learning models see the manuscript and associated GitHub repository.</strong></p> <p>GitHub: <a href="https://github.com/ShiuLab/Manuscript_Code/tree/master/2019_CRC_HeatDrought">https://github.com/ShiuLab/Manuscript_Code/tree/master/2019_CRC_HeatDrought</a></p> <p>Abstract: Plants respond to their environment by dynamically modulating gene expression. A powerful approach for understanding how these responses are regulated is to integrate information about <em>cis-</em>regulatory elements (CREs) into models called <em>cis-</em>regulatory codes. Transcriptional response to combined stress is typically not the sum of the responses to the individual stresses. However, <em>cis-</em>regulatory codes underlying combined stress response have not been established. Here we modeled transcriptional response to single and combined heat and drought stress in <em>Arabidopsis thaliana.</em> We grouped genes by their pattern of response (independent, antagonistic, synergistic) and trained machine learning models to predict their response using putative CREs (pCREs) as features (median F-measure = 0.64). We then developed a deep learning approach to integrate additional omics information (sequence conservation, chromatin accessibility, histone modification) into our models, improving performance by 6.2%. While pCREs important for predicting independent and antagonistic responses tended to resemble binding motifs of transcription factors associated with heat and/or drought stress, important synergistic pCREs resembled binding motifs of transcription factors not known to be associated with stress. These findings demonstrate how <em>in silico</em> approaches can improve our understanding of the complex codes regulating response to combined stress and help us identify prime targets for future characterization.</p>
Data from: Behavioural response to combined insecticide and temperature stress in natural populations of Drosophila melanogaster
Insecticide resistance evolves extremely rapidly, providing an illuminating model for the study of adaptation. With climate change reshaping species distribution, pest and disease vector control needs rethinking to include the effects of environmental variation and insect stress physiology. Here we assessed how both long term adaptation of populations to temperature and immediate temperature variation affects the genetic architecture of DDT insecticide response in Drosophila melanogaster. Mortality assays and behavioral assays based on continuous activity monitoring were used to assess the interaction between DDT and temperature on three field-derived populations from climate extremes (Raleigh for warm temperate, Tasmania for cold oceanic and Queensland for hot tropical). The Raleigh population showed the highest mortality to DDT whereas the Queensland population, epicentre for derived alleles of the resistance gene Cyp6g1, showed the lowest. Interaction between insecticide and temperature strongly affected mortality, particularly for the Tasmanian population. Activity profiles analyzed using self-organizing maps show the insecticide promoted an early response while elevated temperature promoted a later response. These distinctive early or later activity phases revealed similar responses to temperature and DDT dose alone but with more or less genetic variance depending on the population. This change in genetic variance among populations suggests that selection particularly depleted genetic variance for DDT response in the Queensland population. Finally, despite similar (co)variation between traits in benign conditions, the genetic responses across population differed under stressful conditions. This showed how stress-responsive genetic variation only reveals itself in specific conditions and thereby escapes potential trade-offs in benign environments.
Screening the TOMRES collection for combined stress tolerance in Northern European glasshouse conditions
<p>These experiments assessed varietal yield and quality in response to a combined treatment of reduced N and P application and severe water limitation (Combined stress) when grown in rockwool substrates. <br> Data was collection to assess relative NUE of varieties under treatment and control conditions as well as the physiological performance and fruit quality characteristics of varieties in order to contribute to a ranking for combined stress. </p> <p>Two trials were carried out (February - May 2019 and June - September 2019) at the Stockbridge Technology Centre in North Yorkshire, UK. </p>
Effects of Visceral Manipulation Combined with Kinesio Taping on Diastasis Recti, Pain Intensity, Stress Incontinence, Pelvic Floor Strength, and Overall Wellness in Postpartum Women
ClinicalTrials.gov study NCT06723353. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effects of Administration of Combined Docosahexaenoic Acid and Vitamin E Supplements on Spermatogram and Seminal Plasma Oxidative Stress in Infertile Men With Asthenozoospermia
ClinicalTrials.gov study NCT01846325. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Impact of Combined Stress on Biomarkers of Stress
ClinicalTrials.gov study NCT06680908. IPD Sharing: NO. Countries: 1. Publications: 0.
Safety and Accuracy Study of Regadenoson Atropine Combination for Stress Echocardiography in Identification of Coronary Artery Disease
ClinicalTrials.gov study NCT00894179. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Combined Treatment of Prolonged Exposure and Pramipexole for Posttraumatic Stress Disorder and Depression
ClinicalTrials.gov study NCT03765138. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Behavioural response to combined insecticide and temperature stress in natural populations of Drosophila melanogaster
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Differential transcription network analysis for Fusarium head blight disease of barley in combination with drought stress
GEO Series GSE223521. Hordeum vulgare. 144 samples. Type: Expression profiling by high throughput sequencing.
ExExE interactions in the transcriptomic response of E. coli exposed to a combination of antibiotic, temperature and salinity stresses
GEO Series GSE308980. Escherichia coli. 24 samples. Type: Expression profiling by high throughput sequencing.
CALR-mutated cells are vulnerable to combined inhibition of the proteasome and the endoplasmic reticulum stress response
GEO Series GSE207684. Mus musculus. 7 samples. Type: Expression profiling by high throughput sequencing.
Combined TP53 and RB1 Loss Promotes Prostate Cancer Resistance to a Broad Spectrum of Cancer Therapeutics and Confers Vulnerability to Replication Stress
GEO Series GSE147250. Homo sapiens. 162 samples. Type: Expression profiling by high throughput sequencing.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.