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Many cytoskeletal systems are now sufficiently well known to permit their precise quantitative modeling. Microtubule and actin filaments are well characterized, and the associated proteins are often known, as well as their abundance and the interactions between these elements. Thus, computer simulations can be used to investigate the collective behavior of the system precisely, in a way that is complementary to experiments. Cytosim is an Open Source cytoskeleton simulation suite designed to handle large systems of flexible filaments with associated proteins such as molecular motors. It also offers the possibility to simulate passive crosslinkers, diffusible crosslinkers, nucleators, cutters, and discrete versions of the motors that only step on unoccupied lattice sites on a filament. Other objects complement the filaments by offering spherical or more complicated geometry that can be used to represent chromosomes, the nucleus, or vesicles in the cell. Cytosim offers simple command-line tools for running a simulation and displaying its results, which are versatile and do not require programming skills. In this workflow, step-by-step instructions are given to i) install the necessary environment on a new computer, ii) configure Cytosim to simulate the contraction of a 2D actomyosin network, and iii) produce a visual representation of the system. Next, the system is probed by systematically varying a key parameter: the number of crosslinkers. Finally, the visual representation of the system is complemented by the numerical quantification of contractility to view, in a graph, how contractility depends on the composition of the system. Overall, these different steps constitute a typical workflow that can be applied with few modifications to tackle many other problems in the cytoskeletal field.
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http://dx.doi.org/10.3791/64125 | DOI Listing |
J Nucl Med Technol
September 2025
Anatomy and Imaging Department, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil; and.
Diagnostic reference levels (DRLs) are essential for optimizing radiologic practices and ensuring patient safety. This study aimed to establish typical DRLs for nuclear medicine (NM) procedures performed at a Brazilian public university hospital. A retrospective analysis of 2,609 patient records from 13 routine NM procedures was conducted.
View Article and Find Full Text PDFJ Am Soc Mass Spectrom
September 2025
Nontargeted Separations Laboratory, Chemistry Department, William & Mary, Integrated Science Center 1053, 540 Landrum Drive, Williamsburg, Virginia 23188, United States.
Fingerprints are routinely used as evidence in forensic investigations. Fingermarks, any mark left by a donor whether a complete print or not, include sweat and oil excreted by the donor. The chemical components of fingermarks are typically analyzed by gas chromatography-mass spectrometry (GC-MS).
View Article and Find Full Text PDFIEEE Trans Med Imaging
September 2025
Mammography is a primary method for early screening, and developing deep learning-based computer-aided systems is of great significance. However, current deep learning models typically treat each image as an independent entity for diagnosis, rather than integrating images from multiple views to diagnose the patient. These methods do not fully consider and address the complex interactions between different views, resulting in poor diagnostic performance and interpretability.
View Article and Find Full Text PDFFood Res Int
November 2025
German Federal Institute for Risk Assessment (BfR), Department Food Safety, National Reference Laboratory for Animal Protein in Feed, Max-Dohrn-Str. 8-10, 10589 Berlin, Germany. Electronic address:
Processing food and feed sets off a variety of reactions (Maillard, (lipid) oxidation), which may be traced by covalent changes to e.g. proteins.
View Article and Find Full Text PDFAnal Chim Acta
November 2025
Department of Chemical Engineering and Analytical Chemistry, Institute for Research on Nutrition and Food Safety (INSA·UB), University of Barcelona, Spain. Electronic address:
Background: Targeted bottom-up proteomics is of great interest for the straightforward, accurate, and sensitive measurement of specific protein biomarkers from surrogate peptide fragments. However, this approach typically relies on off-line enzymatic digestion with trypsin, a time-consuming step that may be inadequate for covering certain sequence regions containing important post-translational modifications (PTMs).
Results: In this study, we present an in-line enzymatic digestion strategy for the targeted bottom-up analysis of α-synuclein (α-syn), which is a protein biomarker of Parkinson's disease (PD).