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Animal cell migration constitutes a complex process involving a multitude of forces generated and maintained by the actin cytoskeleton. Dynamic changes of the cell surface, for instance to effect cell edge protrusion, are at the core of initiating migratory processes, both in tissue culture models and whole animals. Here we sketch different aspects of imaging representative molecular constituents in such actin-driven processes, which power and regulate the polymerisation of actin filaments into bundles and networks, constituting the building blocks of such protrusions. The examples presented illustrate both the diversity of subcellular distributions of distinct molecular components, according to their function, and the complexity of dynamic changes in protrusion size, shape, and/or orientation in 3D. Considering these dynamics helps mechanistically connecting subcellular distributions of molecular machines driving protrusion and migration with their biochemical function.
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http://dx.doi.org/10.1007/978-1-4939-7701-7_19 | DOI Listing |
Nat Protoc
September 2025
Department of Plant-Microbe Interactions, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Structural biology is fundamental to understanding the molecular basis of biological processes. While machine learning-based protein structure prediction has advanced considerably, experimentally determined structures remain indispensable for guiding structure-function analyses and for improving predictive modeling. However, experimental studies of protein complexes continue to pose challenges, particularly due to the necessity of high protein concentrations and purity for downstream analyses such as cryogenic electron microscopy.
View Article and Find Full Text PDFCell Death Discov
September 2025
Department of Molecular Oncology, King Faisal Specialist Hospital & Research Centre, Riyadh, Saudi Arabia.
Ado-trastuzumab is considered a standard treatment for patients with HER2+ metastatic breast cancer (mBC). Current clinical practices do not reliably predict therapeutic outcomes for patients who are refractory to therapy. Long noncoding RNAs (lncRNAs) are emerging as critical regulators of gene expression and therapeutic resistance, and the use of lncRNAs as tumor biomarkers is becoming more common in other diseases.
View Article and Find Full Text PDFNPJ Precis Oncol
September 2025
Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Breast cancer is a highly heterogeneous disease with diverse outcomes, and intra-tumoral heterogeneity plays a significant role in both diagnosis and treatment. Despite its importance, the spatial distribution of intra-tumoral heterogeneity is not fully elucidated. Spatial transcriptomics has emerged as a promising tool to study the molecular mechanisms behind many diseases.
View Article and Find Full Text PDFPerfusion
September 2025
Department of Surgery, Columbia University, New York, NY, USA.
Static cold storage (SCS) on ice has remained the gold standard preservation method for heart transplantation, and prolonged cold ischemia outside the typical 4-6 hour window is associated with an increased risk of primary graft dysfunction - a consequence attributed to ischemic damage and reperfusion injury. This, unfortunately limits the travel radius for donor heart procurement, a key factor that contributes to the overall shortage of donor organs. Recent research and clinical data have illustrated the validity of other preservation systems in preserving cardiac allografts, and many of these devices have shown promise in potentially prolonging the tolerated ischemic time beyond the accepted standard.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Department of Computational Biology, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, India; Infosys Centre for Artificial Intelligence, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), Okhla Phase III, New Delhi, 110020, In
Understanding the structural and functional diversity of toxin proteins is critical for elucidating macromolecular behavior, mechanistic variability, and structure-driven bioactivity. Traditional approaches have primarily focused on binary toxicity prediction, offering limited resolution into distinct modes of action of toxins. Here, we present MultiTox, an ensemble stacking framework for the classification of toxin proteins based on their molecular mode of action: neurotoxins, cytotoxins, hemotoxins, and enterotoxins.
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