Directed collective cell migration is essential for morphogenesis, and chemical, electrical, mechanical and topological features have been shown to guide cell migration in vitro. Here we provide in vivo evidence showing that endogenous electric fields drive the directed collective cell migration of an embryonic stem cell population-the cephalic neural crest of Xenopus laevis. We demonstrate that the voltage-sensitive phosphatase 1 is a key component of the molecular mechanism, enabling neural crest cells to specifically transduce electric fields into a directional cue in vivo. Finally, we propose that endogenous electric fields are mechanically established by the convergent extension movements of the ectoderm, which generate a membrane tension gradient that opens stretch-activated ion channels. Overall, these findings establish a role for electrotaxis in tissue morphogenesis, highlighting the functions of endogenous bioelectrical stimuli in non-neural contexts.
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http://dx.doi.org/10.1038/s41563-024-02060-2 | DOI Listing |
Sci Rep
January 2025
Mechanical and Industrial Engineering Department, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Research on flexible strain sensors has grown rapidly and is widely applied in the fields of soft robotics, body motion detection, wearable sensors, health monitoring, and sports. In this study, MXene was successfully synthesized in powder form and combined with multi-walled carbon nanotube (MWCNT) to develop MWCNT@MXene conductive network-based flexible strain sensors with silicone rubber (SR) substrate. Combining MWCNTs with MXene as a conductive material has been shown to significantly improve the sensor performance, due to MXene's high conductivity properties that strengthen the MWCNT conductive pathway, increase sensitivity, and improve sensor stability.
View Article and Find Full Text PDFSci Rep
January 2025
Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza, 12677, Egypt.
Due to its enormous influence on system functionality, researchers are presently looking into the issue of task scheduling on multiprocessors. Establishing the most advantageous schedules is often regarded as a difficult-to-compute issue. Genetic Algorithm is a recent tool employed by researchers to optimize scheduling tasks and boost performance, although this field of research is yet mostly unexplored.
View Article and Find Full Text PDFJ Imaging Inform Med
January 2025
Ear, Nose and Throat Department, Batman Training and Research Hospital, Batman, Turkey.
Adenoid hypertrophy, characterized by the abnormal enlargement of adenoid tissue, is a condition that can cause significant breathing and sleep disturbances, particularly in children. Accurate diagnosis of adenoid hypertrophy is critical, yet traditional methods, such as imaging and manual interpretation, are prone to errors. This study uses an ensemble deep learning-based approach for adenoid classification.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
January 2025
Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA. Electronic address:
Delivery of health care, including medical imaging, generates substantial global greenhouse gas emissions. The cardiovascular magnetic resonance (CMR) community has an opportunity to decrease our carbon footprint, mitigate the effects of the climate crisis, and develop resiliency to current and future impacts of climate change. The goal of this document is to review and recommend actions and strategies to allow for CMR operation with improved sustainability, including efficient CMR protocols and CMR imaging workflow strategies for reducing greenhouse gas emissions, energy, and waste, and to decrease reliance on finite resources, including helium and waterbody contamination by gadolinium-based contrast agents.
View Article and Find Full Text PDFNano Lett
January 2025
School of Physical Science and Technology, ShanghaiTech University, 393 Middle Huaxia Road, Shanghai 201210, China.
Transpiration-driven electrokinetic power generators (TEPGs) hold promising potential for intelligent chemical sensing applications, enabling the efficient identification and screening of organic solvents. Here, we report a novel TEPG-based chemical sensor using MoS-doped cellulose filter paper for efficient detection of poplar solvents like water, alcohols, and methanol. TEPGs operate by leveraging capillary-driven transpiration to induce solvent flow through porous materials, leading to ion migration and the formation of electrical double layers (EDLs) at the solid-liquid interfaces.
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