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358 results for “human skin”
De Obaldia et al. Differential mosquito attraction to humans is associated with skin-derived carboxylic acid levels
<p>These supplementary files accompany the manuscript by De Obaldia et al. entitled "Differential mosquito attraction to humans is associated with skin-derived carboxylic acid levels." This includes all raw data in the paper, supplementary data, and instructions for the mosquito behavioral assays.</p> <p> </p> <p>On January 2, 2023 we added one new data file and a .readme to explain changes between the original pre-print and the published peer-reviewed version of the paper https://pubmed.ncbi.nlm.nih.gov/36261039/</p>
New Generation UV-A Filters: Understanding Their Photodynamics on a Human Skin Mimic
<p>The sparsity of efficient commercial ultraviolet-A (UV-A) filters is a major challenge towards developing effective broadband sunscreens with minimal human- and eco-toxicity. To combat this, we have designed a new class of Meldrum-based phenolic UV-A filters. We explore the ultrafast photodynamics of coumaryl Meldrum, CMe, and sinapyl Meldrum, SMe, both in an industry standard emollient and on a synthetic skin mimic, using femtosecond transient electronic and vibrational absorption spectroscopies, and computational simulations. Upon photoexcitation to the lowest excited singlet state (S<sub>1</sub>), these Meldrum-based phenolics undergo fast and efficient non-radiative decay to repopulate the electronic ground state (S<sub>0</sub>). We propose an initial ultrafast twisted intramolecular charge transfer mechanism as these systems evolve out of the Franck-Condon region towards an S<sub>1</sub>/S<sub>0</sub> conical intersection, followed by internal conversion to S<sub>0</sub> and subsequent vibrational cooling. Importantly, we correlate these findings to their long-term photostability upon irradiation with a solar simulator and conclude that these molecules surpass the basic requirements of an industry standard UV filter.</p>
The microclimate, surface energy flux and human skin burn risks of artificial turf as compared to natural turf
<p>This dataset contains the measured hourly mean microclimate and surface energy flux data from a field experiment. The experiment consisted of three treatments: unirrigated artificial turf, unirrigated natural turf, and irrigated natural turf (4 mm/day, 13:00-13:23 local time). The experiment was conducted from 2024-01-28 to 2024-03-18 in Burnley, Melbourne, Australia.<br><br>For each treatment, the measured hourly mean data included albedo, soil moisture content, air temperature, vapour pressure of water, wind speed, black globe temperature, mean radiant temperature, universal theraml climate index, wet-bulb globe temperature, soil temperature, turf surface temperature, incoming and outgoing longwave and shortwave radiant fluxes, sensible heat flux, latent heat flux, and ground heat flux. <br><br>Turf surface temperature, and incoming and outgoing longwave and shortwave radiant fluxes were measured at 1.5 m above ground surface.<br>Air temperature and vapour pressure of water were measured at 0.6 and 1.1 m above ground surface.<br>Wind speed, black globe temperature, mean radiant temperature, universal thermal climate index, and wet-bulb globe temperature were measured at 1.1 m above ground surface.<br>Soil moisture content, soil temperature and ground heat flux were measured at 0.1 m below ground surface.<br>Sensible heat flux and latent heat flux were calculated using the Bowen ratio-energy balance method.<br><br>Additionally, the hourly mean background weather conditions (air temperature and cloud amount) from the nearest public climate station in the study period were included in 'ReferenceClimateStation.csv'. Hourly total rainfall data measured at the study site was also included. <br><br>The aims of this study was to:<br>1. Compare the microclimate and human heat stress among the three treatments.<br>2. Assess and compare the human skin burn risks of the three treaments from their turf surface temperatures.<br>3. Analyse the surface energy fluxes of the three treatments to identify the mechanisms by which artificial turf develops any microclimate, human heat stress and turf surface temperature differences.<br><br>This study was published in:</p> <p><span>Cheung, P. K., & Livesley, S. J. (2025). The microclimate, surface energy flux and human skin burn risks of artificial turf as compared to natural turf. <em>Building and Environment</em>, 112679. https://doi.org/10.1016/j.buildenv.2025.112679<br></span><br>Contact person: Dr Paul Cheung (cheung.p@unimelb.edu.au)</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 warts 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>
The phageome in normal and inflamed human skin
<p><span>Dysbiosis of skin microbiota drives the progression of atopic dermatitis (AD). The contribution of bacteriophages to bacterial community compositions in normal and inflamed skin is unknown. Using shotgun metagenomics from skin swabs of healthy individuals and AD patients, we discovered 13586 potential viral contiguous DNA sequences, which could be combined into 164 putative viral genomes including 133 putative phages. The Shannon diversity index for the viral metagenome-assembled genomes (vMAGs) did not correlate with AD. In total we identified 28 vMAGs that differed significantly between normal and AD skin. qPCR validation of three complete vMAGs revealed their independence from host bacterium abundance. Our data indicate that normal and inflamed skin harbor distinct phageomes and suggest a causative relationship between changing viral and bacterial communities as a driver of skin pathology</span></p>
Dataset containing spectra of degree of linear polarization of human skin
<p>Dataset contains spectra of degree of linear polarization (DOLP) of human finger skin. Experimental studies involved 32 conditionally healthy volunteers (9 males and 23 females, aged 22-76 years).</p>
Fig. 3. Spatial 2D in Nir Raman Scattering For The Study Of Biochemical Features Of The Human Skin Epidermis And A Skin Surface Micro-Mapping In Vitro
Fig. 3. Spatial 2D image of the human epidermis surface: A) an optical image; B) mapping scheme; C) micro–Raman signal intensity map.
Fig. 2 in Nir Raman Scattering For The Study Of Biochemical Features Of The Human Skin Epidermis And A Skin Surface Micro-Mapping In Vitro
Fig. 2. Average Raman spectra of the unprocessed right–hand index fingertips skin epidermis of the 2 volunteers (in vitro). A,B,C- the man's skin samples D,E,F- the women's skin samples.
Fig.1 in Nir Raman Scattering For The Study Of Biochemical Features Of The Human Skin Epidermis And A Skin Surface Micro-Mapping In Vitro
Fig.1. The estimates of pure Raman spectra: A. - the man's skin right–hand index fingertips epidermis, B. - the women's skin right–hand index fingertips epidermis, measured directly from the sample surface (in vitro).
Expression Profile of CD157 Reveals Functional Heterogeneity of Capillaries in Human Dermal Skin
<p>CD157 acts as a receptor, regulating leukocyte trafficking and the binding of extracellular matrix components. However, the expression pattern and the role of CD157 in human blood (BEC) and the lymphatic endothelial cells (LEC) of human dermal microvascular cells (HDMEC), remain elusive. We demonstrated constitutive expression of CD157 on BEC and LEC, in fetal and juvenile/adult skin, in situ, as well as in isolated HDMEC. Interestingly, CD157 epitopes were mostly localized on BEC, co-expressing high levels of CD31 (CD31<sup>High</sup>), as compared to CD31<sup>Low</sup> BEC, whereas the podoplanin expression level on LEC did not affect CD157. Cultured HDMEC exhibited significantly higher numbers of CD157-positive LEC, as compared to BEC. Interestingly, separated CD157<sup>-</sup> and CD157<sup>+</sup> HDMEC demonstrated no significant differences in clonal expansion in vitro, but they showed distinct expression levels of cell adhesion molecules, before and after cytokine stimulation in vitro. In particular, we proved the enhanced and specific adherence of CD11b-expressing human blood myeloid cells to CD157<sup>+</sup> HDMEC fraction, using an in vitro immune-binding assay. Indeed, CD157 was also involved in chemotaxis and adhesion of CD11b/c monocytes/neutrophils in prevascularized dermo-epidermal skin substitutes (vascDESS) in vivo. Thus, our data attribute specific roles to endothelial CD157, in the regulation of innate immunity during inflammation.</p> <p> </p>
2DGCTOF Human Skin Scent Samples Dataset
<p>The dataset contains 971 human scent samples obtained by the instrumentation of two-dimensional gas chromatography coupled with a Time-of-Flight mass spectrometer.<br> 45 female (Codes F1-F45) and 40 male (Codes M1-M40) volunteers participated in a sample collection procedure. Each volunteer provided a sample at least ten times. Due to the maintenance of the machine, the dataset is further divided into 3 subgroups: System_1 (415 samples), System_2 (280 samples), and System_3 (276 samples).<br> Each sample was processed in ChromaToF(version 4.72.0.0) by LECO Corp. The processing step was executed at the signal-to-noise (SN) ratio levels 100, 300, and 500. In addition, the samples were also processed manually (504 samples, volunteers F1-F20 and M1-M20), in which 70 selected compounds in human scent chromatograms were monitored.<br> Preprocessed samples were exported and stored in text files (.txt) with a tabulator as a separator.<br> In addition, questionnaires were collected for each sample, in which the volunteers answered questions about sex, race, age, hair and eye color, height, weight, health status, menstrual cycle, medications, physical and mental status, etc.</p>
The phageome in normal and inflamed human skin
Open the record for dataset details and reuse information.
Labeling and tracking of immune cells in ex vivo human skin
<p>Example imaging datasets linked to the publication 'Labeling and tracking of immune cells in ex vivo human skin' (doi: 10.1038/s41596-020-00435-8).</p> <p>Additional information filenames:<br> - m = ex vivo murine skin<br> - h = ex vivo human skin<br> - mCD8= anti-murine CD8-AF594 nanobody staining (red)<br> - hCD8= anti-human CD8-AF594 nanobody staining (red)<br> - Hoechst= Hoechst 33342 staining (grey)<br> - CD1a= anti-hCD1a-AF488 staining (green)<br> - CD103= anti-hCD103-AF488 staining (green)<br> - SHG = second harmonic generation (cyan)</p> <p>Imaris x64 v9.2.0.</p>
Speckle image stacks acquired on human skin with a high-speed camera
<p>These datasets all consist of stacks of images of various body parts of of the same 50-year-old Caucasian male subject.</p> <p>For each acquisition, the skin was first illuminated with a near-infrared LASER (wavelength 785 nm). Then, the skin was filmed with a Phantom VEO 710L camera, with an acquisition rate of 2000 to 30,000 Hz.</p> <ul> <li>Datasets <strong>WRIST_1</strong>, <strong>WRIST_2</strong> and <strong>WRIST_3</strong> were acquired by imaging the anterior surface of the left wrist, with respective acquisition frequencies of 3000, 2000 and 10,000 Hz.</li> <li>Dataset <strong>FINGERS</strong> consists of images of the end of two fingers of the left hand. It was acquired at 30,000 Hz.</li> <li>Dataset <strong>EAR</strong> consists of images of the right ear. It was acquired at 2000 Hz.</li> <li>Dataset <strong>PALM</strong> consists of images of the palm of the left hand, which was gently scraped beforehand to trigger a superficial inflammation and draw a smiley face. It was then filmed with an acquisition frequency of 10,000 Hz.</li> </ul> <p>Each dataset is stored in a HDF5 file. The data array is stored as <strong>data </strong>at the root of the tree structure. Attributes <strong>T_exp </strong>and <strong>f_acq</strong> provide respectively the exposure time (in microseconds) and the acquisition rate (in Hertz) of the dataset. The script <strong>test.py </strong>shows how data can be accessed through Python and the library h5py. It can be used as follows:</p> <pre><code class="language-bash">python test.py filename.h5</code></pre> <p>All these datasets are used and referenced in our companion article "Dynamic speckle imaging of human skin vasculature with a high-speed camera" (to be published).</p>
Data from: 3-D deconvolution of human skin immune architecture with Multiplex Annotated Tissue Imaging System (MANTIS)
<p><span class="pre-line-wrapping ng-binding">Routine clinical assays, such as conventional immunohistochemistry, often fail to resolve the regional heterogeneity of complex inflammatory skin conditions. Here we introduce MANTIS (Multiplexed Annotated Tissue Imaging System), a flexible analytic pipeline compatible with routine practice, specifically designed for spatially-resolved immune phenotyping of the skin in experimental or clinical samples. Based on phenotype attribution matrices coupled to alpha-shape algorithms, MANTIS projects a representative digital immune landscape, while enabling automated detection of major inflammatory clusters and concomitant single-cell data quantification of biomarkers. We observed that severe pathological lesions from systemic lupus erythematosus, Kawasaki syndrome, or COVID-19-associated skin manifestations share common quantitative immune features, while displaying a non-random distribution of cells with the formation of disease-specific dermal immune structures. Given its accuracy and flexibility, MANTIS is designed to solve the spatial organization of complex immune environments to better apprehend the pathophysiology of skin manifestations.</span></p>
Safety, effectiveness, and skin immune response in a controlled human infection model of sand fly transmitted cutaneous leishmaniasis.
<p>Safety, effectiveness, and skin immune response in a controlled human infection model of sand fly transmitted cutaneous leishmaniasis.</p><p>Vivak Parkash1, Helen Ashwin1, Shoumit Dey1, Jovana Sadlova2, Barbora Vojtkova2, Katrien Van Bocxlaer1,3, Rebecca Wiggins1, David Thompson4 Nidhi Sharma Dey1, Charles L. Jaffe5, Eli Schwartz6, Petr Volf2, Charles J. N. Lacey1, Alison M. Layton1,3 * and Paul M. Kaye1,3 *.</p><p> </p><p>1 York Biomedical Research Institute, Hull York Medical School, University of York, York, UK</p><p>2 Department of Parasitology, Faculty of Science, Charles University, Viničná 7, Prague, Czech Republic</p><p>3 Skin Research Centre, Hull York Medical School, York, UK</p><p>4 York and Scarborough Teaching Hospitals NHS Foundation Trust, York, UK </p><p>5 Department of Microbiology and Molecular Genetics, Kuvin Center for the Study of Infectious and Tropical Diseases, IMRIC, The Hebrew University – Hadassah Medical School, Jerusalem, Israel</p><p>6 The Center for Geographic Medicine and Tropical Diseases, Chaim Sheba Medical Center, and The School of Medicine, Tel Aviv University, Israel.</p><p> </p><p>*Corresponding authors: paul.kaye@york.ac.uk and alison.layton@hyms.ac.uk</p><p> </p>
Mechanisms of Pain Hypersensitivity in a Human Skin Inflammation Model
ClinicalTrials.gov study NCT07092215. IPD Sharing: YES. Countries: 1. Publications: 12.
StrataGraft™ Skin Tissue (Human Donor Skin) In The Surgical Management Of Complex Skin Defects
ClinicalTrials.gov study NCT00618839. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Defining Skin Immunity of a Bite of Key Insect Vectors in Humans
ClinicalTrials.gov study NCT03641339. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A RCT Evaluating Efficacy of Type-I Collagen Skin Substitute vs. Human Amnion Membrane in Treatment of Venous Leg Ulcers
ClinicalTrials.gov study NCT06831760. IPD Sharing: NO. Countries: 1. Publications: 3.
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.