Results 101 to 110 of about 258,723 (263)
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens
Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee +3 more
wiley +1 more source
Software package for simulation of study and automated visualization of the state orgraph of queuing system with heterogeneous servers and independent limited queues is described. The base of the algorithm is the method of description of such queues with
Andrey P Kotenko, Maksim B Bukarenko
doaj
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin +12 more
wiley +1 more source
Semi-Supervised Learning for Multi-View Data Classification and Visualization
Data visualization has several advantages, such as representing vast amounts of data and visually demonstrating patterns within it. Manifold learning methods help us estimate lower-dimensional representations of data, thereby enabling more effective ...
Najmeh Ziraki +2 more
doaj +1 more source
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya +2 more
wiley +1 more source
On Kamada-Kawai graph layout with graph neural networks
Traditional force-directed layout algorithms, such as the Kamada-Kawai (KK) method, are widely used for graph visualization due to their ability to produce aesthetically pleasing layouts.
Olena Linnyk +2 more
doaj +1 more source
Graph visualization in space and time
Die visuelle Analyse von Graphen umfasst eine Vielzahl verschiedener Aspekte (Struktur, Attribute, räumlicher und zeitlicher Bezug). Aufgrund der steigenden Größe dieser Graphen und eines während der Analyse wechselnden Fokus wird deren Darstellung immer problematischer und bedingt eine Unzahl verschiedener Visualisierungen.
openaire +3 more sources
Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley +1 more source

