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804 results for “wound healing”
Fig. 1 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 1. Global overview of the wound-healing transcriptome. A. Principle component analysis (PCA) of RNA-seq libraries. Colours represent biological replicate libraries generated from the same time point (gene log2FPKM space with scaling). B. Differentially expressed genes (DEGs) across time point comparisons. Genes were considered significantly up- or down-regulated if they met p ≤ 0.01 and |log2 (fold change)| (| LFC|) ≥ 2 significance cut-offs. Lists of significantly DEGs were generated using voom by applying these parameters with the Benjamini-Hochberg procedure to TMM-normalized HT-Seq count data. C. Venn diagram of DEGs significantly up- (red) or down-regulated (blue) over the wound-healing time course. Genes were considered significantly up- or down-regulated if they met p ≤ 0.01 and |LFC| ≥ 2 significance cut-offs. Lists of significantly DEGs were generated using voom by applying these parameters with the Benjamini-Hochberg procedure to TMM-normalized HT-Seq count data. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 5 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 5. Transcript accumulation of genes associated with wound induced ABA biosynthesis and degradation. Transcript accumulation of known and putative genes encoding steps in ABA biosynthesis and degradation, over the wound-healing time course were retrieved from RNA-seq data. Heatmaps depict log2FPKM means for n = 3 biological replicates for each time point. Numbered pathway steps correspond to numbers in the ABA metabolism pathway (Supplemental Fig. 6).
Fig. 7 in Transcriptomic analysis of wound-healing in Solanum tuberosum (potato) tubers: Evidence for a stepwise induction of suberin-associated genes
Fig. 7. RT-qPCR validation of select wound-induced genes. Gene expression values for 14 genes from RT-qPCR (ΔΔCq) and RNA-seq (CPM) analyses were normalized to 0 dpw values, then log2-transformed to generate log2 (foldchange) values. Pearson's correlation coefficients were calculated for log2 (foldchange) values from the two experimental procedures, with α = 0.05 (Supplemental Table 9). The 95% confidence interval was calculated and plotted as 95% confidence bands.
Expression profile of microRNAs in different stages of wound healing in mice
<p><span><span><span><span><span><span><span><span><span><span><span>Wound healing response is characterized by progression from clot formation to an inflammatory phase, a repair phase, and finally remodeling. MicroRNAs (miRNAs) are 20-24 nucleotide noncoding RNAs that can affect protein expression at the posttranscriptional level by modulating the stability and translation of corresponding messenger RNAs (mRNAs). The roles that miRNAs play in various physiological and pathological processes have received increasingly widespread attention. However, the differentially expressed miRNAs involved in different stages of wound healing and their roles remain to be further explored. In this study, we established wound model on the shaved dorsum using a punch biopsy tool in C57BL/6J mice. Biopsies were harvested on postoperative days 0, 1, 3, and 7. Then, we identified the differentially expressed miRNAs in different stages of wound healing through Illumina sequencing and miRDeep2 analysis. This study help to find out the expression profile of microRNAs during normal wound healing in mice.</span></span></span></span></span></span></span></span></span></span></span></p>
Wound Healing Assay Dataset (WHAD) and Cell Adhesion and Motility Assay Dataset (CAMAD)
<p>Please refer to the repository:<br>https://github.com/leonardo-iheme/whad_camad_datasets/tree/master</p>
Wound Healing Assays in NSD3short Overexpressing H1299 Cells
<p><strong>SGC Open Notebook Project to Characterize the HMTase NSD3</strong></p> <p><strong>Exp022 Objective: </strong>During epithelial to mesenchymal transitioning (EMT), transcription networks become activated and cytoskeletal rearrangements take place. These events promote migratory capacity and invasiveness. A common assay to measure this phenotype is wound healing. This involves plating cells and culturing until confluent at which point a scratch or wound is made in the culture. This area is imaged over a 24-72 period to monitor the rate of wound closure. Cells with increased migratory capacity will close the wound faster and are indicative of a more mesenchymal state</p> <p> </p>
Data from: "Glycerol-blended chitosan membranes with directional micro-grooves and reduced stiffness improve Schwann cell wound healing"
<h3>ABSTRACT</h3> <p>Regenerative medicine is continuously looking for new natural biocompatible and possibly biodegradable materials, but also mechanically compliant. Chitosan is emerging as a promising FDA-approved biopolymer for tissue engineering, however, its exploitation in regenerative devices is limited by its brittleness and can be further improved, for example, by blending it with other materials or by tuning its superficial microstructure. Here, we developed membranes made of chitosan and glycerol, by solvent casting and micropatterned them with directional geometries with different levels of axial symmetry. These membranes were characterized by light microscopy and atomic force microscopy (AFM), thermal, mechanical, and degradation assays, and also tested in vitro as scaffolds with Schwann cells. The glycerol-blended chitosan membranes are optimized in terms of mechanical properties, and present a physiological-grade Young's modulus (≈ 0.7 MPa). The directional topographies are effective in directing cell polarization and migration and in particular are highly performant substrates for collective cell migration. Here, we demonstrate that a combination of a soft compliant biomaterial and topographical micropatterning can improve the integration of these scaffolds with Schwann cells, which is a fundamental step in the peripheral nerve regeneration process.</p>
Videos of Embryonic Wound Healing in Drosophila and Wound Segmentation
<p>We collect a dataset of time-lapse sequences of <em>Drosophila</em> embryos healing after a laser-induced wound. Altogether we acquire 61 sequences, which we split into train, validation, and test sets of 44, 12, and 5 sequences, respectively. <br> We use embryos expressing a GFP tagged myosin II (sqhGFP) imaged at stage 17. The embryos are collected after aging for 16 hours at 18°C. They are mounted on a coverslip covered with heptane glue for conventional confocal microscopy and<br> by mineral oil to prevent drying. Laser ablation is performed with a pulsed laser. The time-lapse sequences are acquired <em>in vivo </em>using an Olympus IXplore SpinSR10 at room temperature. The samples are illuminated by laser with <span>\(488\,\textrm{nm} \)</span> wavelength using a <span>\(60\, \times \, 1.42 \)</span> NA oil immersion objective.</p> <p>The individual frames are taken once every minute. Each sequence captures the entire closure of the wound, resulting in an average length of 120 frames. Each frame has <span>\(1152\times1152\)</span> pixels and captures the whole embryo with <span>\(4.6\, \mu \textrm{m/pixel}\)</span> image resolution. A z-stack of the embryo is imaged at each time step with a z-step size of <span>\(1\, \mu \textrm{m}\)</span>. <br> The time-resolved z-stacks are max-projected along the z-axis, and registered by SIFT algorithm in Fiji. The wounds are segmented by a custom stable U-Net-like architecture and manually refined in napari. As each frame includes the entire embryo, it is cropped to a region of <span>\(256\times 256\)</span> pixels containing the wound and downsampled to <span>\(128\times 128\)</span> by bicubic interpolation.<br> <br> The processed timelapse sequences are in the folder Video of the Dataset.zip, and their skeletonized segmentations in the folder Segmentations. </p>
Effects of High Voltage Pulsed Current (HVPC) and Low Level Laser Therapy (LLLT) on Wound Healing in Diabetic Ulcers
ClinicalTrials.gov study NCT00719251. IPD Sharing: Not stated. Countries: 1. Publications: 13.
Study of Combined Topical Growth Factor and Protease Inhibitor in Chronic Wound Healing
ClinicalTrials.gov study NCT02845466. IPD Sharing: NO. Countries: 1. Publications: 1.
Distance Healing in Wound Healing
ClinicalTrials.gov study NCT00067717. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study to Determine if Shock Wave Therapy Applied to Traumatic Wounds of the Extremity Improves Healing Time
ClinicalTrials.gov study NCT00486733. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Effect of Nano-Bio Fusion Gel on Palatal Wound Healing After Free Gingival Graft Harvest.
ClinicalTrials.gov study NCT05442359. IPD Sharing: NO. Countries: 1. Publications: 1.
Prospective Clinical Trials on Skin Wound Healing in Young and Aged Individuals
ClinicalTrials.gov study NCT01040104. IPD Sharing: Not stated. Countries: 1. Publications: 14.
Effect of Smoking, Abstention and Nicotine Replacement Therapy on Wound Healing
ClinicalTrials.gov study NCT00825851. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Biofilm Modified Macrophage Phenotype and Function in Diabetic Wound Healing
ClinicalTrials.gov study NCT03271580. IPD Sharing: NO. Countries: 1. Publications: 7.
Effect of Preemptive Etoricoxib and Dexamethasone on Wound Healing and Clinical Parameters After Third Molar Surgery
ClinicalTrials.gov study NCT05791721. IPD Sharing: NO. Countries: 1. Publications: 2.
Cacicol20® in Corneal Wound Healing and Nerve Regeneration After Phototherapeutic Keratectomy
ClinicalTrials.gov study NCT02373397. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Comparison of Palatal Wound Healing in Diabetic and Non-diabetic Patients
ClinicalTrials.gov study NCT06540690. IPD Sharing: YES. Countries: 1. Publications: 4.
Comparison of the Effects of Injectable Platelet-rich Fibrin and Low-dose Laser Applications on Palatal Wound Healing.
ClinicalTrials.gov study NCT06744270. IPD Sharing: NO. Countries: 1. Publications: 5.
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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
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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.