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2,697 results for “Lipids”
LipidQuant 1.0: Automated data processing in lipid class separation - mass spectrometry quantitative workflows
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Diverse arsenic-containing lipids in the surface ocean
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Data from: Human atlastin-3 is a constitutive ER fusion catalyst (lipid mixing data)
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Data from: Functional regulation of aquaporin dynamics by lipid bilayer composition
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Reconstitution of phase-separated signaling clusters and actin polymerization on supported lipid bilayers
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Pea aphid winged and wingless males exhibit reproductive, gene expression, and lipid metabolism differences
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Safer and efficient base editing and prime editing via ribonucleoproteins delivered through optimized lipid-nanoparticle formulations
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Data from: Free energy analysis of peptide-induced pore formation in lipid membranes by bridging atomistic and coarse-grained simulations
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Microbial dietary preference and interactions affect the export of lipids to the deep ocean
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Simulation of a POPE bilayer, lipid model based on OPLS-aa by Rog et al.
<p>A 500 ns-long simulation of a bilayer consisting of 144 POPE lipids and 40 water molecules per lipid. All GROMACS-compatible input and output files are required. Topologies are provided by their original authors.</p> <p>If you use the topologies, please cite the papers indicated in the POPE.itp file.</p>
Raw data to "Specialized pro-resolving lipid mediators are differentially altered in peripheral blood of patients with multiple sclerosis and attenuate monocyte and blood-brain barrier dysfunction"
<p>Background: Lack of resolution of inflammation may be considered a critical player for the onset and progression of multiple sclerosis. To demonstrate this we extracted lipids from plasma samples of healthy donors and MS patients and we quantified over 65 lipid mediators (LMs) through LC-MS-MS using signature diagnostic ions via multiple reaction monitoring.</p> <p>Results: Out of the 65 lipid mediators analyzed, only 42 were detected and out of those only 27 were finally revealed to show differences between healthy subjects and MS patients. These 27 LMs belonged to the arachidonic (AA), docosahexaenoic (DHA) or eicosapentaenoic (EPA) acid metabolomes and we could clusterize each form of MS into a specific profile by means of principal component analysis. Altogether, compared to healthy subjects, MS patients showed a strong production of several AA-derived eicosanoids (i.e. PGE2, PGD2 and PGF2a) (Fig.1D) and a little production of two DHA-derived pro-resolving mediators (SPMs), i.e. Protectin D1 (D1) and protectin DX (PDX) (Fig.1A). However, no production of DHA-derived resolvins and maresins (Fig. 1B) as well as EPA-derived resolvins (Fig.1 C) was observed.</p> <p>When stratifying MS patients according to disease form, both relapsing MS patients showed production of only two pro-resolving mediators (SPMs), i.e. Resolvin D1 (RvD1) and Protectin D1 (D1) compared to healthy subjects, whereas remitting MS patients showed a production of only few AA- and DHA-derived metabolic pathway markers and progressive MS patients a strong production of several eicosanoids as well as other metabolic pathway markers.</p> <p>Conclusions: These data suggest that along disease progression, there is a lack of production of anti-inflammatory and pro-resolving lipid mediators associated to a higher production of pro-inflammatory ones.</p>
Growth temperature influence on lipids and photosynthesis in Lepidium sativum.
<p>Dataset relative to the paper:</p> <p>Growth temperature influence on lipids and photosynthesis in Lepidium sativum.</p> <p>Including:</p> <p>Phenotypical analysis (Leaf area and hypocotyl lenght) phen.xlsx</p> <p>Weight and water content of the samples (Weight.xlsx)</p> <p>Chlorophyll content and a/b ratio (chl_R.xlsx)</p> <p>Maximum yield of Photosystem II (QY_MAX.xlsx)</p> <p>Thermal dissipation at different light intensity npq.xlsx</p> <p>Electron transport, fraction of open PSII reaction centers (qL) and quantum efficiency (qY) at different light intensity qL.xlsx</p> <p>Prenyl-lipid relative quantification and galactolipid profiling and analysis (Lipidomic_Analysis_2020.xls)</p> <p>Analysis of ECL signal of the immunodetection of proteins from the main photosynthetic complexes WB_R.2.xlsx</p> <p>Analysis of the kinetics of Vj after exposure to increasing time in the dark (Vj_dark.xlsx) or far red light (Vj_FAR.xlsx)</p> <p>R script used for data analysis and visualization. ( R_Script.R )</p>
Pure POPC membrane simulations using Amber Lipid 14 Force Field
<p>Pure POPC membrane simulations using the Amber Lipid 14 force field.</p> <pre>@article{dickson2014lipid14, title={Lipid14: the amber lipid force field}, author={Dickson, Callum J and Madej, Benjamin D and Skjevik, {\AA}ge A and Betz, Robin M and Teigen, Knut and Gould, Ian R and Walker, Ross C}, journal={Journal of chemical theory and computation}, volume={10}, number={2}, pages={865--879}, year={2014}, publisher={ACS Publications} }</pre> <p>The trajectories are centered such that the center of mass of the lipid tails are at the origin. <strong>Please check the imaging again to make sure that there are no problems. </strong></p> <p><strong>The trajectories do not contain water molecules.</strong> </p> <p>Simulation Details:</p> <p>Lipids : 72 POPC lipids, 36 per leaflet</p> <p>Water: 9560 TIP3P water molecules (<strong>water coordinates are not saved</strong>)</p> <p>Temperature: 303 K</p> <p>Pressure: 1 bar</p> <p>Thermostat: Langevin</p> <p>Barostat: Berendsen</p> <p>Pressure coupling: Semi-isotropic</p> <p>Trajectory Length: 100 ns (after 100 ns pre-equilibration)</p> <p>Saving frequency: 100 ps</p> <p>Further details are available at the 04_Run.in file</p> <p>All trajectories started from the same structure but equilibriated for 100 ns independently (using 03_Hold.in)</p>
mselensky/Selensky2021_LavaBeds_Lithoautotrophy: Stable Carbon Isotope Depletions in Lipid Biomarkers Suggest Subsurface Carbon Fixation in Lava Caves
<p>Data and R script repository for the manuscript "Stable Carbon Isotope Depletions in Lipid Biomarkers Suggest Subsurface Carbon Fixation in Lava Caves" (Selensky et al. 2021)</p>
DOPC lipid bilayer simulation trajectory and files from Franova et al. BBA 1838 (2014) 1406–1411
<p>Simulation files for pure DOPC (no pyrene present) simulation from "Can pyrene probes be used to measure lateral pressure profiles of lipid membranes? Perspective through atomistic simulations" Franova et al. Biochimica et Biophysica Acta 1838 (2014) 1406–1411</p>
DOPC lipid bilayer with PYR6 simulation trajectory and files from Franova et al. BBA 1838 (2014) 1406–1411
<p>Simulation files for DOPC with PYR6 simulation from "Can pyrene probes be used to measure lateral pressure profiles of lipid membranes? Perspective through atomistic simulations" Franova et al. Biochimica et Biophysica Acta 1838 (2014) 1406–1411</p>
DOPC lipid bilayer with PYR8 simulation trajectory and files from Franova et al. BBA 1838 (2014) 1406–1411
<p>Simulation files for DOPC with PYR8 simulation from "Can pyrene probes be used to measure lateral pressure profiles of lipid membranes? Perspective through atomistic simulations" Franova et al. Biochimica et Biophysica Acta 1838 (2014) 1406–1411</p>
DOPC lipid bilayer with PYR4 simulation trajectory and files from Franova et al. BBA 1838 (2014) 1406–1411
<p>Simulation files for DOPC with PYR4 simulation from "Can pyrene probes be used to measure lateral pressure profiles of lipid membranes? Perspective through atomistic simulations" Franova et al. Biochimica et Biophysica Acta 1838 (2014) 1406–1411</p>
DOPC lipid bilayer with PYR10 simulation trajectory and files from Franova et al. BBA 1838 (2014) 1406–1411
<p>Simulation files for DOPC with PYR10 simulation from "Can pyrene probes be used to measure lateral pressure profiles of lipid membranes? Perspective through atomistic simulations" Franova et al. Biochimica et Biophysica Acta 1838 (2014) 1406–1411</p>
The Physics of Stratum Corneum Lipid Membranes
<p>Topologies, force-fields and final configurations for the SC lipid systems for which results have been included in the paper "The physics of stratum corneum lipid membranes", by Chinmay Das and Peter D. Olmsted, to be published in Philosophical Transactions A, 2016. (Preprint available at http://arxiv.org/abs/1510.08939 )</p> <p> </p>
ScienceDex guides
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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.