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358 results for “human skin”
Histological Evaluation of Human Skin Bx to Assess the Effects of APR Tx as an Adjunct Procedure in Facelift Surgery
ClinicalTrials.gov study NCT06243744. IPD Sharing: NO. Countries: 1. Publications: 19.
A Proof of Concept Clinical Study to Investigate the Effects of an Experimental Cosmetic Moisturiser on the Barrier Function of Human Skin on the Face and Forearm
ClinicalTrials.gov study NCT03216265. IPD Sharing: NO. Countries: 1. Publications: 1.
High Purity Type I Collagen Based Skin Substitute Vs Dehydrated Human Amnion/Chorion Membrane in Treatment of DFUs
ClinicalTrials.gov study NCT06470087. IPD Sharing: NO. Countries: 1. Publications: 5.
Nor climate, nor human impact factors: Chytrid infection shapes the skin microbiome of an endemic amphibian along a biodiversity hotspot
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Data from: Non‐invasive treatment of ischemia/reperfusion injury: Effective transmission of therapeutic near‐infrared light into the human brain through soft skin‐conforming silicone waveguides
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Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo
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Data from: 3-D deconvolution of human skin immune architecture with Multiplex Annotated Tissue Imaging System (MANTIS)
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Elastin-like polypeptide-based bioink for human skin dermal compartment reconstruction
<p>Raw data from the article</p>
A catalog of genes and species of the human skin microbiota
<p></p><h1>Dataset overview</h1><br>This dataset provides:<br>a non-redundant high-quality catalog of 2.9 million genes<br>392 Metagenomic Species Pangenomes (MSPs)<br>This dataset can be used to analyze shotgun sequencing data of the human skin microbiota.<br><h1>How to use this dataset</h1><br>Create a gene abundance table by aligning reads from each sample against the catalog. For this purpose, you can use Meteor or NGLess. Then, normalize raw counts by gene length.<br>Taxonomic profiling: the abundance of each species can be estimated as the average abundance of its 100 first core genes. To reduce the false positive rate, only consider that a species is present if at least 10/100 marker genes are detected.<br><h1>Methods</h1><br><h2>Data sources</h2><br>This dataset was built using the following data sources:<br>118 isolate-derived genomes from the HMRGD<br>246 isolate-derived genomes from the Skin Microbial Genome Collection (SMGC)<br>1,407 skin metagenome assemblies from the Skin Microbial Genome Collection (SMGC)<br><h2>Non-redundant gene catalog</h2><br>After filtering out short contigs (<1500 bp), genes were predicted with Prodigal on genomes (mode: single) and metagenome assemblies (mode: meta). Complete genes (partial=00) were pooled and clustered with cd-hit-est (parameters -c 0.95 -aS 0.90 -G 0 -d 0 -M 0 -T 0) by choosing those from the longest contigs as representatives.<br><h2>Functional annotation</h2><br>KOs assignments were obtained with KofamScan using the KEGG 107 database.<br><h2>MSPs recovery</h2><br>Reads from the 1,120 skin metagenomes available in the bioproject PRJNA46333 were aligned against the non-redundant gene catalog with the Meteor software suite to produce a raw gene abundance table (2.9M genes quantified in 1,120samples). Then, co-abundant genes were binned in 392 Metagenomic Species Pan-genomes (MSPs, i.e. clusters of co-abundant genes that likely belong to the same microbial species) using MSPminer.<br><h2>MSPs taxonomic annotation</h2><br>Taxonomic annotation was performed by alignment of all core and accessory genes against representative genomes of the GTDB database (release r214) using blastn (version 2.7.1, task = megablast, word_size = 16). A species-level assignment was given if > 50% of the genes matched the representative genome of a given species, with a mean nucleotide identity ≥ 95% and mean gene length coverage ≥ 90%. The remaining MSPs were assigned to a higher taxonomic level (genus to superkingdom), if more than 50% of their genes had the same annotation.<br><h2>Construction of the phylogenetic tree</h2><br>39 universal phylogenetic markers genes were extracted from the MSPs (or the corresponding genome if available) with fetchMGs. Then, the markers were separately aligned with MUSCLE. The 40 alignments were merged and trimmed with trimAl (parameters: -automated1). Finally, the phylogenetic tree was computed with FastTreeMP (parameters: -gamma -pseudo -spr -mlacc 3 -slownni).<h1>Mapping rate distribution across public cohorts</h1>We generated mapping rate distribution plots using Meteor2 (default parameters), comparing performance between: PRJNA46333 (cohort used in catalogue assembly) and PRJEB80549 (independent cohort not used in assembly).<p></p>
IL-32 producing CD8+ memory T cells and Tregs define the IDO1/PD-L1 niche in human cutaneous leishmaniasis skin lesions.
<p>https://github.com/NidhiSDey/leish-ME/</p> <p>Human cutaneous leishmaniasis (CL) is characterised by chronic skin pathology. Experimental and clinical data suggest that immune checkpoints (ICs) play a crucial role in disease outcome but the cellular and molecular niches that facilitate IC expression during leishmaniasis are ill-defined. We previously showed that in Sri Lankan patients with CL two ICs, indoleamine 2,3-dioxygenase 1 (IDO1) and programmed death-ligand 1 (PD-L1) are enriched in lesional skin and that reduced PD-L1 expression early after treatment onset predicts cure rate following antimonial therapy. Here, we use spatial cell interaction mapping to identify IL-32-expressing CD8+ memory cells and regulatory T cells as key components of the IDO1 / PD-L1 niche in a cohort of Sri Lankan CL patients. This finding was confirmed in patients with distinct forms of dermal leishmaniasis in Brazil and India. Furthermore, in our Sri Lankan cohort the abundance of IL-32+ cells and IL-32+CD8+ T cells at treatment onset was prognostic for rate of cure. This study provides a unique spatial perspective on the expression of key ICs in these important skin diseases and a novel route to identify biomarkers of treatment response.</p>
Quantifying live bacteria in the human skin microbiome reveals reduced interpersonal variability
<p>Using flow-cytometry and metagenomics, coupled with an upstream pre-processing step to remove relic-DNA (DNA left behind from dead or dying cells) to determine the live population of the skin microbiome. Repository contains important feature tables, counts tables, sequencing preprocessing scripts and feature table analysis scripts.</p>
Human skin cup
A cup made of skin.... This fbx file is fully made in Zbrush. Source: Objaverse 1.0 / Sketchfab
Adhesive Antibacterial Moisturizing Nanostructured Skin Patch for Sustainable Development of Atopic Dermatitis Treatment in Humans [Swelling studies]
<p>Adhesive Antibacterial Moisturizing Nanostructured Skin Patch [Swelling studies]</p>
Chemical absorption in human skin
<p>Whether from environmental and occupational hazards or from topical pharmaceuticals, the human skin comes into contact with various chemicals every day. In vivo experiments not only require large investments of both time and money, but in vivo experiments can also be unethical due to the need to intentionally or incidentally expose humans or animals to toxic chemicals. Comparatively, in vitro experiments offer ethical and financial advantages when combined with the opportunity to selectively choose chemicals for experimentation. With in vivo experimentation being so infeasible, many scientists have chosen to make their in vitro data available publicly. Using these data, a detailed database containing 73 chemicals was created with a robust set of descriptors to be used in connection with mathematical modeling to predict diffusion, permeability, and partition coefficients. This resulting database is tailored to be easily used in various coding languages.</p>
Simultaneous NAD(P)H and FAD fluorescence lifetime microscopy of long UVA–induced metabolic stress in reconstructed human skin
<p>Solar ultraviolet longwave UVA1 exposure of human skin has short-term consequences at cellular and molecular level, leading at long-term to photoaging. Following exposure, reactive oxygen species (ROS) are generated, inducing oxidative stress that might impair cellular metabolic activity. However, the dynamic of UVA1 impact on cellular metabolism remains unknown because of lacking adequate live imaging techniques. Here we assess the UVA1-induced metabolic stress response in reconstructed human skin with multicolor two-photon fluorescence lifetime microscopy (FLIM). Simultaneous imaging of nicotinamide adenine dinucleotide (NAD(P)H) and flavin adenine dinucleotide (FAD) by wavelength mixing allows quantifying cellular metabolism in function of NAD(P)+/NAD(P)H and FAD/FADH2 redox ratios. After UVA1 exposure, we observe an increase of fraction of bound NAD(P)H and decrease of fraction of bound FAD indicating a metabolic switch from glycolysis to oxidative phosphorylation or oxidative stress possibly correlated to ROS generation. NAD(P)H and FAD biomarkers have unique temporal dynamic and sensitivity to skin cell types and UVA1 dose. While the FAD biomarker is UVA1 dose-dependent in keratinocytes, the NAD(P)H biomarker shows no dose dependence in keratinocytes, but is directly affected after exposure in fibroblasts, thus reflecting different skin cells sensitivities to oxidative stress. Finally, we show that a sunscreen including a UVA1 filter prevents UVA1 metabolic stress response from occurring.</p>
Deconvolved STED nanoscopy images of the nuclear phosphatidylinositol 4,5-bisphosphate and nuclear speckle marker SON together with deconvolved confocal images of DAPI stained nuclei in human formalin-fixed paraffin-embedded skin sections
<p>The collection and analysis of formalin-fixed paraffin-embedded (FFPE) human skin sections was approved by the local ethics-committee at the Department of Pathology, University of Cologne, Germany. Written informed consentwas obtained from all patients in accordance with the Declaration of Helsinki. For biopsy materials from archival paraffin blocks of human skin, an informed consent was obtained from all the subjects and ethical approval obtained from the Ethics Committee at the University of Cologne. Surgically removed human FFPE skin biopsies were sectioned into 4 µm sections. Sections were dewaxed, and indirectly immunofluorescently labeled against nuclear phosphatidylinositol 4,5-bisphosphate (nPI(4,5)P2) using 5 µg/mL rabbit primary polyclonal antibody (Echelon Biosciences Inc. Z-A045, clone 2C11). The primary antibody against nPI(4,5)P2 was recognized by the goat secondary antibody conjugated with Abberrior Star 635P (Abberior 2-0002-007-5). Sections were indirectly immunofluorescently labeled against nuclear speckle marker SON using 1 µg/mL rabbit primary polyclonal antibody (Abcam ab121759). The primary antibody against SON was recognized by the goat secondary antibody conjugated with Abberrior Star 580 (Abberrior ST580-1002). Sections were co-stained by DAPI 1:1000 in PBS for 5 min.</p> <p>Imaging of nPI(4,5)P2-635P channel was performed on Leica TCS SP8 STED 3x inverted DMi8 microscope with pulsed white light laser 470-640 nm 1.5 mW and 775 nm pulse STED laser >1.5 W controlled by Leica Application Suite X software and equipped with HC PL APO CS2 100x/1.40 OIL objective used with Leica Type F immersion oil n=1.518. Unidirectional xyz scanning speed was 400 Hz, line accumulation 8. Pixel size was 20 nm in X and Y. Channel settings: 7% 633 nm laser; 775 Notch filter; 50% 775 nm STED laser; 30% 3D STED; HyD 639-698 nm, photon-counting mode, gain 100, gating 0.3-10 ns. Imaging of SON-580 channel was performed on Leica TCS SP8 STED 3x inverted DMi8 microscope with pulsed white light laser 470-640 nm 1.5 mW and 775 nm pulse STED laser >1.5 W controlled by Leica Application Suite X software and equipped with HC PL APO CS2 100x/1.40 OIL objective used with Leica Type F immersion oil n=1.518. Unidirectional xyz scanning speed was 400 Hz, line accumulation 8. Pixel size was 20 nm in X and Y. Channel settings: 10% 585 nm laser; 775 Notch filter; 80% 775 nm STED laser, 30% 3D STED; Hybrid detector (HyD) 589-616 nm, photon-counting mode, gain 100, gating 0.4-10 ns.</p> <p>Z-stacks of STED images were deconvolved using Huygens Professional 22.10 software (Scientific Imaging B.V.). Data sets were processed using Workflow Processor. The workflow consisted of selecting images, setting up the microscopy and deconvolution parameters and saving deconvolved images as 8-bit TIFF single files for individual channels (which were later used for the quantitative analyses; see below). Microscopy parameters were optimized and set as follows. Sampling intervals were ≤20 nm in X and Y and ≤20 nm in Z. Numerical aperture was 1.4; refractive indexes of the lens immersion oil was 1.518 and of the embedding media 1.458; objective quality was good, coverslip position was 0 µm and imaging direction was downward. For nPI(4,5)P2-635P STED channel the backprojected pinhole was 216 nm; excitation (ex.) and emission (em.) wavelengths (λ) were 633 and 651 nm, resp., ex. fill factor 2. STED depletion mode was pulsed, saturation factor 25, STED λ = 775, STED immunity factor 10 and STED 3X was 30%. Classic MLE algorithm with stabilization of Z-slices was used and signal-to-noise ratio was 5.1. For SON-580 STED channel the backprojected pinhole was 195 nm; excitation (ex.) and emission (em.) wavelengths (λ) were 585 and 602 nm, resp., ex. fill factor 2. STED depletion mode was pulsed, saturation factor 20, STED λ = 775, STED immunity factor 10 and STED 3X was 30%. Classic MLE algorithm with stabilization of Z-slices was used and signal-to-noise ratio was 4.</p>
Human dermal microvascular arterial and venous blood endothelial cells and their use in bioengineered dermo-epidermal skin substitutes in vitro and in vivo
<p>The bio-engineering of vascular networks is pivotal to create complex tissues and</p> <p>organs in vitro for regenerative medicine applications. The vascular plexus is needed for a</p> <p>sufficient and fast blood supply after transplantation, and, thus, required for the survival and</p> <p>function of the engineered tissue or organ. Hence, human endothelial cells are an attractive</p> <p>source for bio-engineering purposes, for example human dermal microvascular endothelial</p> <p>cells (HDMECs).</p> <p>So far, a discrimination between arterial and venous blood endothelial cells after</p> <p>isolation of HDMECs from skin biopsies and if arterial and/or venous capillaries are formed in</p> <p>pre-vascularized bio-engineered substitutes was not investigated.</p> <p>In this study, we investigated employedby single cell sequencing for to</p> <p>investigate/compare human arterial and venous endothelial cell markers in human fetal and</p> <p>juvenile skin. Further, we analyzed if these markers are present after isolation of human skin</p> <p>derived endothelial cells under 2D culture conditions. In additionFinally, we investigated</p> <p>assessed if human endothelial cells form distinct arterial and venous capillaries in 3D</p> <p>collagen type I hydrogels, and if these capillaries retain their identity after transplantation.</p> <p>We determinedOur results showed that arterial and venous endothelial cell markers</p> <p>such as NRP1 and NR2F2 are expressed both in fetal and juvenile skin, and are retained after</p> <p>isolation in culture. We could show demonstrate that arterial and venous endothelial cells</p> <p>maintain their differentiation status and form arterial and venous capillaries in 3D in vitro</p> <p>culture systems and that the capillaries inosculate after transplantation.</p> <p>In summary, we could show that we could bio-engineer human arterial, venous, and</p> <p>lymphatic capillaries in a human skin substitute in view of regenerative medicine approaches</p> <p>for clinical applications.</p>
Effects of Hypericum Perforatum Oil on Promoting Skin Recovery in Different Human Skin Damage Models
ClinicalTrials.gov study NCT03783819. IPD Sharing: UNDECIDED. Countries: 1. Publications: 13.
Human Skin and Gut Mycobiome and Bacteriome Comprehensive Registry
ClinicalTrials.gov study NCT05196061. IPD Sharing: NO. Countries: 1. Publications: 8.
Human Amniotic Versus Synthetic Membrane as a Transient Skin Cover for Pediatric Burns
ClinicalTrials.gov study NCT02904941. IPD Sharing: NO. Countries: 1. Publications: 5.
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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.