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Adverse social experience affects social structure by modifying the behavior of individuals, but the relationship between an individual's behavioral state and its response to adversity is poorly understood. We leveraged naturally occurring division of labor in honey bees and studied the biological embedding of environmental threat using laboratory assays and automated behavioral tracking of whole colonies. Guard bees showed low intrinsic levels of sociability compared with foragers and nurse bees, but large increases in sociability following exposure to a threat. Threat experience also modified the expression of caregiving-related genes in a brain region called the mushroom bodies. These results demonstrate that the biological embedding of environmental experience depends on an individual's societal role and, in turn, affects its future sociability.
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http://dx.doi.org/10.1242/jeb.243738 | DOI Listing |
Sci Adv
September 2025
Movement Disorder and Neuromodulation Unit, Department of Neurology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Subthalamic deep brain stimulation (STN-DBS) provides unprecedented spatiotemporal precision for the treatment of Parkinson's disease (PD), allowing for direct real-time state-specific adjustments. Inspired by findings from optogenetic stimulation in mice, we hypothesized that STN-DBS can mimic dopaminergic reinforcement of ongoing movement kinematics during stimulation. To investigate this hypothesis, we delivered DBS bursts during particularly fast and slow movements in 24 patients with PD.
View Article and Find Full Text PDFAnn Bot
September 2025
Laboratório de Fisiologia Ecológica de Plantas, Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, Brasil.
Background And Aims: Aerenchyma formation has emerged as a promising model for understanding cell wall modifications. Certain cells undergo programmed cell death (PCD), while others do not, suggesting the existence of a tightly regulated signaling dispersion mechanism. Cell-to-cell communication occurs via plasmodesmata, whose permeability is regulated by the deposition of callose (β-1,3-glucan) and its degradation by β-1,3-glucanase.
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.
View Article and Find Full Text PDFBiomed Mater
September 2025
Department of Nanobiotechnology, Faculty of Biological Sciences, , Tarbiat Modares University, Tehran, P.O. Box 14115-154, Iran, Tehran, Tehran Province, 14115-154, Iran (the Islamic Republic of).
It is essential to develop new strategies for wound treatment and skin reconstruction, particularly by scaffolds that replicate the structure and function of native skin. A bilayer scaffold was developed using three-dimensional (3D) bioprinting, based on a uniform chitosan-based formulation for both layers, maintaining material uniformity while offering structural support and promoting cell adhesion. The upper chitosan layer, embedded with NHEK-Neo, is stiffer and mimics the epidermis, while the softer lower layer contains embedded HFFs and HFSCs, mimicking the dermis.
View Article and Find Full Text PDFPLoS One
September 2025
School of Mechanical and Automotive Engineering, Qingdao University of Technology, Qingdao, Shandong, China.
Drug-target interaction (DTI) prediction is essential for the development of novel drugs and the repurposing of existing ones. However, when the features of drug and target are applied to biological networks, there is a lack of capturing the relational features of drug-target interactions. And the corresponding multimodal models mainly depend on shallow fusion strategies, which results in suboptimal performance when trying to capture complex interaction relationships.
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