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34,778 results for “diseases”
Impact of infectious diseases on wild bovidae populations in Thailand: Insights from population modelling and disease dynamics
<p>The wildlife and livestock interface is vital for wildlife conservation and habitat management. Infectious diseases maintained by domestic species may impact threatened species such as Asian bovids, as they share natural resources and habitats. To predict the population impact of infectious diseases with different traits, we used stochastic mathematical models to simulate the population dynamics over 100 years for 100 times a model gaur (<em>Bos gaurus</em>) population with and without disease. We simulated repeated introductions from a reservoir, such as domestic cattle. We selected six bovine infectious diseases; anthrax, bovine tuberculosis, hemorrhagic septicaemia, lumpy skin disease, foot and mouth disease and brucellosis, all of which have caused outbreaks in wildlife populations. From a starting population of 300, the disease-free population increased by an average of 228% over 100 years. Brucellosis with frequency-dependent transmission showed the highest average population declines (-97%), with population extinction occurring 16% of the time. Foot and mouth disease with frequency-dependent transmission showed the lowest impact, with an average population increase of 200%. Overall, acute infections with very high or low fatality had the lowest impact, whereas chronic infections produced the greatest population decline. These results may help disease management and surveillance strategies support wildlife conservation.</p>
Supplementary Materials: The molecular landscape of premature aging diseases defined by multilayer network exploration
<p>This dataset contains supplementary materials related to study "The molecular landscape of premature aging diseases defined by<br>multilayer network exploration" (Beust C., Valdeolivas A., Baptista A., Brière G., Lévy N., Ozisik O., Baudot A.)</p> <p>Supplementary Figures: <br>Supplementary Figure S1: Clustering of the premature aging disease communities obtained with 50 iterations of itRWR <br>Supplementary Figure S2: Clustering of the premature aging disease communities obtained with 150 iterations of itRWR <br>Supplementary Figure S3: Clustering of the premature aging disease communities obtained with 100 iteration of itRWR, with a cutoff value at 0.5 on the dendrogram </p> <p>Supplementary Tables: <br>Supplementary Table S1: Premature Aging HPO phenotypes <br>Supplementary Table S2:Tthe 67 PA diseases and their 132 associated genes from ORPHANET <br>Supplementary Table S3: Number of nodes, edges, and densities of the 4 network layers composing the multilayer biological network <br>Supplementary Table S4: Parameters used for MultiXrank </p> <p>Supplementary Files: <br>Supplementary File S1: Csv file containing the enrichment analysis results computed using the genes associated with physiological aging <br>Supplementary File S2: Excel file containing the gene nodes belonging to each of the 67 communities <br>Supplementary File S3: Excel file containing the gene nodes belonging to each cluster (i.e., the union of the genes belonging to the set of communities composing the cluster) <br>Supplementary File S4: Csv file containing the diseases belonging to each cluster <br>Supplementary File S5: Excel file containing the enrichment of clusters using lists of physiological aging genes <br>Supplementary File S6: Csv file containing the lists of genes differentially expressed in human blood, skin, brain, muscle and breast during aging, from the study of Irizar et al. <br>Supplementary File S7: Excel file containing the enrichment analysis results of the 67 communities, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations <br>Supplementary File S8: Excel file containing the enrichment analysis results of the 6 clusters, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations. The last 2 columns contain the seed nodes of the cluster annotated for the corresponding function and their corresponding diseases. <br>Supplementary File S8bis: Excel file containing the enrichment analysis results of the 8 clusters obtained with an alternative cutoff of 0.5 in the dendrogram, using GO Biological Processes and Cellular Components, and Reactome pathways functional annotations.<br>Supplementary File S9: Excel file containing enrichment analysis results of the 6 clusters, using HPO phenotypes </p> <p>Supplementary Text: <br>Supplementary Text S1: Comparison with alternative network exploration strategies, including classical (non- iterative) Random Walk with Restart, Multilayer network partitioning, and computation of network distances with shortest paths.</p> <p> </p> <p> </p>
Figure 4 in Application of the NucliSENS easyMAG system for nucleic acid extraction: optimization of DNA extraction for molecular diagnosis of parasitic and fungal diseases
Figure 4. Identification of PCR inhibitors in 18 biological samples positive for Aspergillus. Graph A: Ct values obtained from pure and diluted DNA samples (dilution rate 1/20). Graph B: Ct values obtained with 20 copies of a plasmid DNA systematically added to the same biological samples (undiluted and diluted) and a negative control sample (NC).
Figure 2 in Application of the NucliSENS easyMAG system for nucleic acid extraction: optimization of DNA extraction for molecular diagnosis of parasitic and fungal diseases
Figure 2. Influence of proteinase K digestion (56 °C overnight) on DNA extraction. Graph A shows the Ct values obtained by quantifying THP1 cell DNA derived from direct extraction with the NucliSENS easyMAG system and extraction performed on the same quantity of cells following overnight (ON) digestion with Proteinase K. Graph B shows Leishmania quantification after extraction with the NucliSENS easyMAG system both with and without PK and quantification after extraction using a QIAamp DNA Mini kit after ON digestion with PK.
Figure 7 in Application of the NucliSENS easyMAG system for nucleic acid extraction: optimization of DNA extraction for molecular diagnosis of parasitic and fungal diseases
Figure 7. Variation of the ratio between kinetoplastic DNA and nuclear DNA extraction with various Leishmania quantities in the presence of 103 THP1 cells.
Figure 5 in Application of the NucliSENS easyMAG system for nucleic acid extraction: optimization of DNA extraction for molecular diagnosis of parasitic and fungal diseases
Figure 5. Yield of DNA extraction from Leishmania and THP1 cells using the NucliSENS easyMAG system.
Figure 3 in Application of the NucliSENS easyMAG system for nucleic acid extraction: optimization of DNA extraction for molecular diagnosis of parasitic and fungal diseases
Figure 3. Results of the extraction experiments performed on yeast (Candida albicans) and filamentous fungi (Aspergillus fumigatus). A presents the kinetics of the extraction process after vortexing and glass-bead treatment. B shows the differences in DNA quantity obtained from fungal cells using the FastPrep system (with) compared to the same process without grinding.
Figure 6 in Application of the NucliSENS easyMAG system for nucleic acid extraction: optimization of DNA extraction for molecular diagnosis of parasitic and fungal diseases
Figure 6. Influence of the quantity of human cells (THP1 cells) on Leishmania quantification at various concentrations of host cells and parasites.
Fig.3. Relation between depression level expresed Fig.4 in Oxidative Stress Indicators, Depression And Qua Lity Of Live L Evel S In Co Rona Ry Heart Disease Patients
Fig.3. Relation between depression level expresed Fig.4. Box plot displaying the distribution of the in Geriatric depression score points and oxidative data showing differences in Geriatric depression stress parameter (GPx) score points in primary and recurrent SCHD patients according to gender.
Fig.1. Relation between depression level expresed Fig.2 in Oxidative Stress Indicators, Depression And Qua Lity Of Live L Evel S In Co Rona Ry Heart Disease Patients
Fig.1. Relation between depression level expresed Fig.2. Relation between depression level expresed in Geriatric depression score points andlevelof in Geriatric depression score points and oxidative life Quality. stress parameter (MDA).
Fig. 1 in Peculiarities Of Wheat Leaf Disease Distribution In Latvia
Fig. 1. Occurrence of mildew during 1995-2002 Fig. 2. Dynamics of mildew development during in Latvia. the vegetation season (average data).
Fig. 5 in Peculiarities Of Wheat Leaf Disease Distribution In Latvia
Fig. 5. Dynamics of tan spot development during Fig. 6. The time (growth stage) of appearance of 1995-2002 in Latvia. the first symptoms of yellow rust and brown rust.
Fig. 3 in Peculiarities Of Wheat Leaf Disease Distribution In Latvia
Fig. 3. Development of septoria leaf blotch during Fig. 4. Occurrence of tan spot during the obser- 1995-2002 in Latvia. vations.
Phosphoglycerate kinase is a central leverage point in Parkinson's Disease driven neuronal metabolic deficits
<p><span>Although certain drivers of familial Parkinson’s Disease (PD) compromise mitochondrial integrity, whether metabolic deficits underly other idiopathic or genetic origins of PD is unclear. Here, we demonstrate that PGK1, a gene in the PARK12 susceptibility locus, <span> </span>is rate limiting in neuronal glycolysis and that modestly increasing PGK1 expression significantly boosts <span> </span>neuronal ATP production kinetics that is sufficient to suppress PARK20-driven synaptic dysfunction. We found that his activity enhancement depends on the molecular chaperone PARK7/DJ-1, whose loss of function significantly disrupts axonal bioenergetics. <em>In-vivo, </em>viral expression of PGK1 confers protection of striatal DA axons against metabolic lesions. These data support the notion that bioenergetic deficits may underpin PD associated pathologies and point to improving neuronal ATP production kinetics as a promising path forward in PD therapeutics.</span></p>
Figure 9 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 9. ELISA plate readings (O.D at 405nm) of leaf samples of transgenic lines (T1-T8) and control plants after 15 dpi.
Figure 7 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 7. PCR Products of the hpt gene from T0 transgenic plants. Lane 1-9 are transgenic. Lane 10, +ve control. Lane 11, control (untransformed) plant.
Figure 6. DNA bands from T0 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 6. DNA bands from T0 transgenic and Agro-infilterated plants. Lane 1-10, transgenic plants. Lane 11-13, agro-infilterated plants.
Figure 3 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 3. Symptoms development on propagative host plants after mechanical inoculation with ChiVMV isolate ATIPK. (a) N. tabacum showing mosaic, mottling and vein clearing (b) C. annum (cv. Loungi) displays the symptoms of mottling, mosaic, leaf deformation and vein clearing.
Figure 2 in Evaluation of the Chilli veinal mottle virus CP gene expressing transgenic Nicotiana benthamiana plants for disease resistance against the virus
Figure 2. Symptoms of ChiVMV on chilli leaves collected from Islamabad. (a) Shows mottling and severe vein clearing and distortion. (b) Shows reduced leaf size with mottling and distortion.
Figure 2 in Reproductive diseases in captive Agoutis (Dasyprocta leporina)
Figure 2. Necropsy of Adult Agouti with offspring in the right uterine horn and enlarged bladder (Source: Jones et al.,2020).
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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.