Coronary Smooth Muscle Cell Calcium Dynamics: Effects of Bifurcation Angle on Atheroprone Conditions

Cellular communication among smooth muscle cells: The role of membrane potential via connexins

Communication via action potentials among neurons has been extensively studied. However, effective communication without action potentials is ubiquitous in biological systems, yet it has received much less attention in comparison. Multi-cellular communication among smooth muscles is crucial for regulating blood flow, for example. Understanding the mechanism of this non-action potential communication is critical in many cases, like synchronization of cellular activity, under normal and pathological conditions. In this paper, we employ a multi-scale asymptotic method to derive a macroscopic homogenized bidomain model from the microscopic electro-neutral (EN) model. This is achieved by considering different diffusion coefficients and incorporating nonlinear interface conditions. Subsequently, the homogenized macroscopic model is used to investigate communication in multi-cellular tissues. Our computational simulations reveal that the membrane potential of syncytia, formed by interconnected cells via connexins, plays a crucial role in propagating oscillations from one region to another, providing an effective means for fast cellular communication. Statement of Significance: In this study, we investigated cellular communication and ion transport in vascular smooth muscle cells, shedding light on their mechanisms under normal and abnormal conditions. Our research highlights the potential of mathematical models in understanding complex biological systems. We developed effective macroscale electro-neutral bi-domain ion transport models and examined their behavior in response to different stimuli. Our findings revealed the crucial role of connexinmediated membrane potential changes and demonstrated the effectiveness of cellular communication through syncytium membranes. Despite some limitations, our study provides valuable insights into these processes and emphasizes the importance of mathematical modeling in unraveling the complexities of cellular communication and ion transport.

Global Exploration of RNA-Binding Proteins in Exercise-Induced Adult Hippocampal Neurogenesis: A Transcriptome Meta-analysis and Computational Study

Voluntary physical exercise is a robust enhancer of adult hippocampal neurogenesis (AHN). A complete understanding of the molecular regulation of AHN is important in order to exploit the benefits of the process toward therapeutic approaches. Several factors such as epigenetic modifiers, non-coding RNAs, and transcription factors have been reported to regulate AHN. However, there is a limited understanding of the impact of RNA-binding proteins (RBPs) on exercise-mediated AHN, in spite of their well-documented significance in embryonic neurogenesis. The present study is the first global analysis to catalog the potential RBPs influencing exercise-mediated AHN. Here, a transcriptome meta-analysis was conducted to study exercise-mediated gene expression modulation in hippocampi of adult mice. Next, potential RBPs influencing transcriptome-wide expression changes via untranslated regions (UTRs) were identified. Among other RBPs, MATR3, Musashi, TIA1, and FXR2 (known critical modulators of neurogenesis) were found to potentially regulate gene expression patterns. Subsequently, binding sites of known neurogenesis-regulating RBPs were identified in the UTRs of AHN-associated genes modulated by exercise. Finally, a number of RBPs including RBFOX1, RBFOX3, and QKI (known regulators of neurogenesis) were found to be highly expressed in mouse hippocampal formation and also potentially interact with other RBPs, suggesting their combinatorial functioning in exercise-induced AHN. Thus, the present meta-analysis-based computational study identified several RBPs potentially important in exercise-induced AHN, which could form a foundation for further experiments to unravel RBP-mediated regulation of AHN.