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34,778 results for “diseases”
Molecular, biochemical and metabolomics analyses reveal constitutive and pathogen-induced defense responses of two sugarcane contrasting genotypes against leaf scald disease
<p>Leaf scald caused by the bacteria <em>Xanthomonas albilineans</em> is one of the major concerns to sugarcane production. To breed for resistance, mechanisms underlying plant-pathogen interaction need deeper investigations. Herein, we evaluated sugarcane defense responses against <em>X. albilineans</em> using molecular and biochemical approaches to assess pathogen-triggered ROS, phytohormones and metabolomics in two contrasting sugarcane genotypes from 0.5-144 h post-inoculation (hpi). In addition, the infection process was monitored using TaqMan-based quantification of <em>X. albilineans</em> and the disease symptoms were evaluated in both genotypes after 15 d post-inoculation (dpi) The susceptible genotype presented a response to the infection at 0.5 hpi, accumulating defense-related metabolites such as phenolics and flavonoids with no significant defense responses thereafter, resulting in typical symptoms of leaf scald at 15 dpi. The resistant genotype did not respond to the infection at 0.5 hpi but constitutively presented higher levels of salicylic acid and of the same metabolites induced by the infection in the susceptible genotype. Moreover, two subsequent pathogen-induced metabolic responses at 12 and 144 hpi were observed only in the resistant genotype in terms of amino acids, quinic acids, coumarins, polyamines, flavonoids, phenolics and phenylpropanoids together with an increase of hydrogen peroxide, ROS-related genes expression, indole-3-acetic-acid and salicylic acid. Multilevel approaches revealed that constitutive chemical composition and metabolic reprogramming hampers the development of leaf scald at 48 and 72 hpi, reducing the disease symptoms in the resistant genotype at 15 dpi. Phenylpropanoid pathway is suggested as a strong candidate marker for breeding sugarcane resistant to leaf scald.</p>
Irish Potato Imagery Dataset for Early Detection of Crop Diseases
<p>The annotated dataset consists of irish potatoes leaf imagery for early diseases detection. The irish potato crop leaves images were taken in Mbeya region in the Southern Highlands of Tanzania between 22<sup>nd</sup> November 2022 and 08<sup>th</sup> April 2023 using a mobile data collection tool, called the Open Data Kit (ODK). The crop leaf imagery dataset use case is developing machine learning models and end-user tools for early detection of (i) Early blight, and (ii) Late blight diseases in irish potatoes. The common leaf imagery data was collected from small holder farms using Samsung Galaxy A03 Core smartphones. </p> <p>All images are in the <strong>.zip files</strong>; “lateblt.zip” has 20,499 images, “healthy.zip” has 20,438 images, and “earlyblt.zip” has 17,772 images. A total of 58,709 image files are labelled.</p> <p>This research project is financially supported by the International Development Research Centre (IDRC) and the Swedish International Development Cooperation Agency (SIDA) through the Artificial Intelligence for Agriculture and Food Systems Innovation Research Network (AI4AFS-IRN) administered by the African Technology Policy Studies Network (ATPS) with Grant Award Number: AI4AFS/GA/AFS-2504001568.</p>
Common Beans Imagery Dataset for Early Detection of Crop Diseases
<p>The annotated dataset consists of common beans leaf imagery for early diseases detection. The common beans crop leaves images were taken in Mbeya region in the Southern Highlands of Tanzania between 20<sup>th</sup> October 2022 and 10<sup>th</sup> April 2023 using a mobile data collection tool, called the Open Data Kit (ODK). The crop leaf imagery dataset use case is developing machine learning models and end-user tools for early detection of (i) Bean anthracnose, and (ii) Bean rust diseases in common beans. The common leaf imagery data was collected from small holder farms using Samsung Galaxy A03 Core smartphones. </p> <p>All images are in the <strong>.zip files</strong>; “anthra.zip” has 13,531 images, “healthy.zip” has 24,973 images, and “rust.zip” has 20,568 images. A total of 59,072 image files are labelled.</p> <p>This research project is financially supported by the International Development Research Centre (IDRC) and the Swedish International Development Cooperation Agency (SIDA) through the Artificial Intelligence for Agriculture and Food Systems Innovation Research Network (AI4AFS-IRN) administered by the African Technology Policy Studies Network (ATPS) with Grant Award Number: AI4AFS/GA/AFS-2504001568.</p>
tomato-leaf-diseases-detection
<p>This dataset is collected from https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf . we are saving this dataset for future use purpose. All copyright goes to this kaggel website link. There are tomato leaf diseases in this dataset. There are almost 9 classes of tomato leaf diseases and 1 class for healthy tomato leaf diseases. This ten classes are :</p> <ol> <li>Mosaic Virus </li> <li>Target Spot</li> <li>Bacterial Spot</li> <li>Yellow Leaf Curl Virus</li> <li>Late Blight</li> <li>Leaf Mold</li> <li>Early Blight</li> <li>Spider Mites Two-Spotted Spider Mite</li> <li>Tomato Healthy</li> <li>Septoria Leaf Spot.</li> </ol>
Identification of the regulatory circuit governing corneal epithelial fate determination and disease trackhub and additional data
<p>The transparent corneal epithelium in the eye is maintained through the homeostasis regulated by limbal stem cells, while the non-transparent epidermis relies on epidermal keratinocytes for renewal. Despite their cellular similarities, the precise cell fates of these two types of epithelial stem cells, which give rise to functionally distinct epithelia, remain unknown. We performed a multi-omics analysis of human limbal stem cells from the cornea and keratinocytes from the epidermis, and characterized their molecular signatures, highlighting their similarities and differences. Through gene regulatory network analyses, we identified shared and cell type-specific transcription factors that define specific cell fates, and established their regulatory hierarchy. Single-cell RNA-seq analyses of the cornea and the epidermis confirmed these shared and cell type-specific transcription factors. Notably, the shared and limbal stem cell-specific transcription factors can cooperatively target genes associated with corneal opacity. Importantly, we discovered that <em>FOSL2</em>, a direct PAX6 target gene, is a novel candidate associated with corneal opacity, and it regulates genes implicated in corneal diseases. By characterizing molecular signatures, our study unveils the regulatory circuitry governing the limbal stem cell fate and its association with corneal opacity.</p> <p> </p> <p>Files present are within the UCSC trackhub format containing bigwig and bignarrowpeak files associated with the publication:</p> <p>Multi-omics analyses identify transcription factor interplay in corneal epithelial fate determination and disease</p> <p>doi: https://doi.org/10.1101/2022.07.13.499857</p> <p> </p>
Host-pathogen interactions under pressure: a review and meta-analysis of stress-mediated effects on disease dynamics
<p>Human activities have increased the intensity and frequency of natural stressors and created novel stressors, altering host-pathogen interactions, and changing the risk of emerging infectious diseases. Despite the ubiquity of such anthropogenic impacts, predicting the directionality of outcomes has proven challenging. Here, we conduct a review and meta-analysis to determine the primary mechanisms through which stressors affect host-pathogen interactions and to evaluate the impacts stress has on host fitness (survival and fecundity) and pathogen infectivity (prevalence and intensity). We assessed 891 effect sizes from 71 host species (representing seven taxonomic groups) and 78 parasite taxa from 98 studies. We found that infected and uninfected hosts had similar sensitivity to stressors and that responses varied according to stressor type. Specifically, limited resources compromised host fecundity and decreased pathogen intensity, while abiotic environmental stressors (e.g., temperature and salinity) decreased host survivorship and increased pathogen intensity, and pollution increased mortality but decreased pathogen prevalence. We then used our meta-analysis results to develop Susceptible-Infected theoretical models to illustrate scenarios where infection rates are expected to increase or decrease in response to resource limitation or environmental stress gradients. Our results carry implications for conservation and disease emergence and reveal areas for future work. </p>
Financial dimensions of global zoonotic disease risks
<p>The CSV files contain cleaned lists of companies and shareholders used in the study "<strong>Financial dimensions of global zoonotic disease risks</strong>". Code for the analysis is available at <a href="https://github.com/juanrocha/finance_tipping">https://github.com/juanrocha/finance_tipping</a> and a preprint of the study at <a href="https://beijer.kva.se/publication/financial-dimensions-of-global-zoonotic-disease-risks/">https://beijer.kva.se/publication/financial-dimensions-of-global-zoonotic-disease-risks/</a></p>
Rare disease resources
<p>A repository listing rare-disease resources.</p>
Shrimp Diseases Description
<p>The dataset consists of 558 descriptions of 6 types of shrimp diseases, including White Feces (142 descriptions), Loose Shell (121 descriptions), Infectious Myonecrosis (86 descriptions), Acute Hepatopancreatic Necrosis (68 descriptions), Plaque disease in shrimp (76 descriptions), and Filamentous bacterial (65 descriptions). The longest description contains 72 words. The dataset was collected and classified with the support of aquaculture experts.</p>
CyTOF and Flow Cytometry dataset assocaited with "Early-to-mid stage idiopathic Parkinson's disease shows enhanced cytotoxicity and differentiation in CD8 T-cells in females"
<p>This dataset contains all the raw mass cytometry (CyTOF) and flow cytometry fcs files associated with Capelle <i>et al</i>. '<i>Early-to-mid stage idiopathic Parkinson's disease shows enhanced cytotoxicity and differentiation in CD8 T-cells in females',</i> <i><strong>Nature Communications</strong>, <strong>2023</strong>,</i> In Press.</p><p>The dataset contains the following information:</p><p>1, The folder " CoPImmunoPD Flow Zenodo V2.zip " contains all the raw fcs files of flow cytometry analysis and the excel table with marker information of five staining panels in the initial discovery analysis using fresh blood samples. The folder also includes the fcs files of analyzing cytotoxicity potential within CD8 T cells and of validation analyses using cryopreserved samples. Single-color/fluorochrome staining files have also been provided for the relevant experiments in the given subfolders for compensation.</p><p>2, The folder "<a href="https://zenodo.org/api/files/75c910aa-3615-4eff-a201-9d2d46e33ea0/CoPImmunoPD_CyTOF_Zenodo.zip">CoPImmunoPD_CyTOF_Zenodo.zip</a>" contains all the raw fcs files generated from the CyTOF measurements in the initial discovery analysis.</p><p><strong>To reproduce our published Figures, please be assure to first read all the accompanied readme/excel information annotation files deposited in the corresponding folders within the zip files, all the Source Data files of different main and supplementary Figure subpanels, Methods and/or any other relevant sections in our manuscript.</strong></p>
Data and code for: Disease outbreaks select for mate choice and coat color in wolves
<p><span>We know much about pathogen evolution and the emergence of new disease strains but less about host resistance and how it is signaled to other individuals and subsequently maintained. The cline in frequency of black-coated wolves across North America is hypothesized to result from a relationship with canine distemper virus (CDV) outbreaks. We test this hypothesis using cross-sectional data from wolf populations across North America that vary in the prevalence of CDV and the allele that makes coats black, longitudinal data from Yellowstone National Park, and modeling. The frequency of CDV outbreaks generates fluctuating selection that results in heterozygote advantage that in turn impacts the frequency of the black allele, the optimal mating behavior, and the black wolf cline across the continent.</span></p>
Efficacy and Safety of Pasireotide Administered Monthly in Patients With Cushing's Disease
ClinicalTrials.gov study NCT01374906. IPD Sharing: UNDECIDED. Countries: 20. Publications: 5.
Study of Two Doses of Crizanlizumab Versus Placebo in Adolescent and Adult Sickle Cell Disease Patients
ClinicalTrials.gov study NCT03814746. IPD Sharing: YES. Countries: 21. Publications: 2.
Edoxaban in Peripheral Arterial Disease
ClinicalTrials.gov study NCT01802775. IPD Sharing: YES. Countries: 7. Publications: 2.
A Study of the Efficacy and Safety of Upadacitinib (ABT-494) in Participants With Moderately to Severely Active Crohn's Disease Who Have Inadequately Responded to or Are Intolerant to Biologic Therapy
ClinicalTrials.gov study NCT03345836. IPD Sharing: YES. Countries: 48. Publications: 7.
Assessing the Drug Exposure Risk of Infants Breastfed by Women With Inflammatory Bowel Disease
ClinicalTrials.gov study NCT03397108. IPD Sharing: YES. Countries: 1. Publications: 2.
Efficacy and Safety Study of Ontamalimab as Maintenance Treatment in Participants With Moderate to Severe Crohn's Disease (CARMEN CD 307)
ClinicalTrials.gov study NCT03627091. IPD Sharing: YES. Countries: 34. Publications: 1.
Postmarketing Vedolizumab Milk-Only Lactation Study in Lactating Women With Active Ulcerative Colitis or Crohn's Disease
ClinicalTrials.gov study NCT02559713. IPD Sharing: YES. Countries: 1. Publications: 1.
Prazosin for Agitation in Alzheimer's Disease
ClinicalTrials.gov study NCT03710642. IPD Sharing: YES. Countries: 1. Publications: 6.
Study of Dose Confirmation and Safety of Crizanlizumab in Pediatric Sickle Cell Disease Patients
ClinicalTrials.gov study NCT03474965. IPD Sharing: YES. Countries: 14. Publications: 1.
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.