Taipei Medical University Showcase
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2170 results
- Efficacy and Safety of GingerEfficacy and Safety of Ginger
- Dataset
- Supplementary ChatGPT Dermatology v2
- Dataset
- JAADsupplementary files for study entitled "Short-Term Effects of Air Pollutants on Psoriasis Occurrence: A Case-Crossover Study"
- Dataset
- ADSC-Exosome on Parkinson's disease
- Dataset
- Data of RNA-Seq in Type 2 Alveolar Epithelial Cells Exposed to Diesel Exhaust ParticlesThis dataset includes the RNA sequencing (RNA-Seq) in MLE-12 type II alveolar epithelial cells (AECII) exposed to diesel exhaust particle (DEP) at 0 (Control) and 50 μg/mL for 6, 16, and 24 hours. The dataset includes the summary of the gene sequenced, differentially expressed genes (DEG), and genes annotated by Disease Ontology (DO), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
- Dataset
- Data on Lung and Intestinal Microbiome in Ageing Rats exposed to Air PollutionThis dataset reflects the lung and intestinal microbiome in Fischer 344 ageing rats exposed to traffic-related air pollution for 3 months. Data here include lung and intestinal microbiome identified by analysing the 16S ribosomal (r)RNA gene amplified with specific primers, including Illumina sequencing adapters and sample-specific barcodes, and sequenced on an Illumina MiSeq sequencer.
- Dataset
- Data of RNA-Seq in Alteration in branching morphogenesis via YAP/TAZ in fibroblasts of fetal lungs in an LPS-induced inflammation modelThis dataset reflects the RNA sequencing in ex vivo fetal lungs collected from ICR mice at an age of 11.5 embryonic (E) days exposed to Lipopolysaccharide (LPS) at 0 (control group) and 50 μg/mL (LPS group) for 3 days. The dataset includes the summary of the gene sequenced, differentially expressed genes (DEG), and genes annotated by Disease Ontology (DO), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
- Dataset
- RNA Sequencing of Type 2 Alveolar Epithelial Cells in Coculture with Human Umbilical Cord-Derived Mesenchymal Stem Cells (hUC-MSCs) after Lipopolysaccharide ExposureThis dataset provides the RNA sequencing of MLE-12 cells exposed to lipopolysaccharides (LPS) at 0 (control group) or 1 (LPS group) μg/mL for 2 hours, followed by coculturing with human umbilical cord-derived mesenchymal stem cells (hUC-MSCs; LPS + MSC group) for cell collection at 6 or 12 hours. The dataset includes the summary of gene quantification, differentially expressed genes (DEG), and gene annotation from Disease Ontology (DO), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG).
- Dataset
- Data of RNA-Seq in fetal lung exposed to diesel exhaust particleThis dataset reflects the RNA sequencing in ex vivo fetal lungs collected from ICR mice at an age of 11.5 embryonic (E) days exposed to diesel exhaust particles (DEP) at 0 (control group) and 50 μg/mL (DEP group) for 3 days. The dataset includes the summary of the gene sequenced, differentially expressed genes (DEG), and genes annotated by Disease Ontology (DO), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.
- Dataset
- Elegancy: Electronic Lab notebookWe introduce an electronic laboratory notebook, Elegancy, a cloud-based and standalone web service distributed as a Docker image. Elegancy fits all laboratories but is specially equipped with several features benefitting biochemical laboratories. For example, it can be accessed on mobile devices, allowing researchers to upload photos or audio recordings directly from their smartphones. We also provide a chemical molecule drawing tool, chemical formula insertion tool, and laboratory supply management system. We believe that Elegancy could help the scientific research community gather evidence, share information, reorganize knowledge, and digitize laboratory works with greater ease and security. Availability and Implementation: Docker image of Elegancy is freely accessible at https://hub.docker.com/r/lsbnb/eln, Demo site: http://elncloud.iis.sinica.edu.tw/ , Video abstract: https://www.youtube.com/watch?v=KXOa5WNytCM, User guide at https://elncloud.iis.sinica.edu.tw/eln_document/#/
- Dataset
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