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829 results for “Drug resistance”
Microcin H47: A Class IIb Microcin with Potent Activity Against Multi-Drug Resistant Enterobacteriaceae.
<p>DNA file containing information for construction of plasmid needed for the heterologous production of Cathecol IIb microcin MccH47-MGE (pS4-BAD-H47) and for its purification via MBP fusion (pHMT-H47). File can be opened and inspected with free software SnapGene Viewer (<a href="https://www.snapgene.com/snapgene-viewer/">https://www.snapgene.com/snapgene-viewer/</a>)</p>
Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia: scRNA-seq and CyTOF processed datasets
<p><strong>This data was generated as part of the Tumor Profiler study. If you use it in your research, please cite:</strong></p> <p>Wegmann, R., Bonilla, X., Casanova, R. <em>et al.</em> Single-cell landscape of innate and acquired drug resistance in acute myeloid leukemia. <em>Nat Commun</em> 15, 9402 (2024). https://doi.org/10.1038/s41467-024-53535-4</p> <p><strong>Derived data - scRNA-seq</strong></p> <p>This is an R data set (.RDS) containing a SingleCellExperiment object with the following slots:</p> <div> <ul> <li>Assays: <ul> <li>counts: raw counts</li> </ul> </li> </ul> </div> <div> <ul> <li>colData: Cell-level metadata <ul> <li> barcodes: The cell barcode</li> <li> fractionMT: Fraction mitochondrial genes per cell</li> <li> n_umi: Total number of UMIs per cell</li> <li> n_gene: Total number of genes per cell</li> <li> log_umi: log10 total number of UMIs per cell</li> <li> g2m_score: Cell cycle phase score for G2M</li> <li>s_score: Cell cycle phase score for S</li> <li>cycle_phase: predicted cell cycle phase</li> <li>celltype_major_full_ct_name: Major cell type full name</li> <li>celltype_major: Major cell type short name</li> <li>celltype_final_full_ct_name: Cell subtype full name</li> <li>celltype_final: Cell subtype short name </li> <li>sample_id </li> </ul> </li> </ul> </div> <div> <ul> <li>rowData: Gene-level metadata <ul> <li>gene_ids</li> <li>gene_names</li> </ul> </li> </ul> </div> <p><strong>Derived data - CyTOF</strong></p> <p>This is an R data set (.RDS) containing a SingleCellExperiment object with the following slots:</p> <ul> <li>Assays:<br> <ul> <li>counts_raw: signal intensity based on CyTOF dual counts</li> <li>exprs_raw: arcsinh transformed raw counts (cofactor 5)</li> <li>counts: batch corrected raw counts (linear scaling based on a quantile)</li> <li>exprs: arcsin transformed counts (cofactor 5)</li> <li>scaled: 0-1 normalized exprs (clipped to the 99.95th percentile)</li> </ul> </li> <li>colData (cell metadata) <ul> <li>bc_id: barcode of the sample during staining </li> <li>run: CyTOF experiment batch, named after the first sample of the batch</li> <li>type: Sample type (blood or bone marrow)</li> <li>sample_id: TuPro sample ID</li> <li>pred_id: Predicted cell type [char]</li> <li>pred_n: Predicted cell type [integer]</li> </ul> </li> <li>rowData (marker metadata) <ul> <li>channel_name: Name and isotopic mass of the metal ion corresponding to this marker</li> <li>marker_name: Protein name</li> <li>channel_group, channel_group_integer: Biological processes the channel identifies, e.g. specific cell type, signalling, cell death</li> <li>tsne_channel: Logical - use this channel for dimensionality reduction?</li> <li>channel_order: Define the order of channels for plotting</li> <li>cluster_channel: Logical - use this channel for clustering?</li> </ul> </li> </ul>
DMGAT: Predicting ncRNA-Drug resistance associations based on diffusion map and heterogeneous graph attention network
<p>Dataset for the paper: DMGAT: Predicting ncRNA-Drug resistance associations based on diffusion map and heterogeneous graph attention network</p>
Protective efficacy of anti-Hyr1p monoclonal antibody against systemic candidiasis due to multi-drug resistant Candida au-ris
<p>Supplementary Data</p>
Transformable nano-antibiotics for mechanotherapy and immune activation against drug-resistant Gram-negative bacteria
<p><span>The dearth of antibiotic candidates against Gram-negative bacteria and the rise of antibiotic resistance create a global health concern. The challenge lies in the unique Gram-negative bacterial outer membrane that provides the impermeable barrier for antibiotics and sequesters antigen presentation. We designed a transformable nano-antibiotics (TNA) which can transform from nontoxic nanoparticles to bactericidal nanofibrils with reasonable rigidity (Young's modulus, 21.6 ± 5.9 MPa) after targeting β-barrel assembly machine A (BamA) and lipid polysaccharides (LPS) of Gram-negative bacteria. After morphological transformation, the TNA can penetrate and damage the bacterial envelope, disrupt electron transport and multiple conserved biosynthetic and metabolic pathways, burst bacterial antigen release from the outer membrane, and subsequently activate innate and adaptive immunity. TNA kills Gram-negative bacteria in vitro and in vivo with undetectable resistance through multiple bactericidal modes of action. TNA-treatment-induced vaccination results in rapid and long-lasting immune responses, protecting against lethal re-infections.</span></p>
Efficacy, Tolerability and Adherence of the Modified Atkins Diet on Drug-resistant Epilepsy
ClinicalTrials.gov study NCT03183076. IPD Sharing: NO. Countries: 1. Publications: 30.
Antiplatelet Drug Resistances and Ischemic Events
ClinicalTrials.gov study NCT00501423. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study of 6b11-OCIK Injection Treatment in Patients With Recurrent Drug-resistant Ovarian Cancer
ClinicalTrials.gov study NCT03542669. IPD Sharing: NO. Countries: 1. Publications: 1.
Ultralow Dose Computed Tomography in High-risk Drug-resistant Tuberculosis Contacts
ClinicalTrials.gov study NCT02454738. IPD Sharing: YES. Countries: 1. Publications: 1.
PRediction of Vagal Nerve Stimulation EfficaCy In Drug-reSistant Epilepsy
ClinicalTrials.gov study NCT04935567. IPD Sharing: NO. Countries: 1. Publications: 1.
The Benefit and Safety of Older Generation Anti-Epileptic Drugs (AEDs) in Drug-Resistant Epilepsy Children
ClinicalTrials.gov study NCT05697614. IPD Sharing: NO. Countries: 1. Publications: 1.
Sputum Pharmacokinetics of TB Drugs and Bacterial Drug Resistance
ClinicalTrials.gov study NCT02534727. IPD Sharing: Not stated. Countries: 2. Publications: 3.
Probiotics and Multi-Drug Resistant Urinary Tract Infection
ClinicalTrials.gov study NCT03644966. IPD Sharing: NO. Countries: 1. Publications: 8.
Evaluating Newly Approved Drugs in Combination Regimens for Multidrug-Resistant TB With Fluoroquinolone Resistance (endTB-Q)
ClinicalTrials.gov study NCT03896685. IPD Sharing: YES. Countries: 6. Publications: 2.
Real-World Study of Magnetic Resonance-guided Laser Interstitial Thermal Therapy for Drug-resistant Epilepsy
ClinicalTrials.gov study NCT06341075. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Drug Resistance Inhibition in Treating Women With Recurrent or Metastatic Breast Cancer
ClinicalTrials.gov study NCT00002826. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Antimalarial Drug Resistance in Mali
ClinicalTrials.gov study NCT00127998. IPD Sharing: Not stated. Countries: 1. Publications: 4.
IF-MCT 16:8: Investigating the Influence of Intermittent Fasting With and Without MCTs in Patients With Drug-resistant Epilepsy
ClinicalTrials.gov study NCT06013761. IPD Sharing: NO. Countries: 1. Publications: 0.
Registry of Subjects With Drug Resistant Epilepsy and Treated With the VNS Therapy System.
ClinicalTrials.gov study NCT03529045. IPD Sharing: NO. Countries: 16. Publications: 9.
Dietary Therapy In Epilepsy Treatment (DIET-Trial): A Randomised Non Inferiority Trial Comparing KD, MAD & LGIT for Drug Resistant Epilepsy
ClinicalTrials.gov study NCT02708030. IPD Sharing: YES. Countries: 1. Publications: 2.
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.