Results 261 to 270 of about 412,161 (357)
When the Clock Is Ticking: The Role of Mitotic Duration in Cell Fate Determination
Recently, several studies identified mechanisms by which cells measure mitotic duration and how this influences cell fate, leading to normal cell cycle progression or G1 arrest. In light of drug‐resistant cancer cells that continue proliferating even after mitotic errors, understanding these mechanisms opens the door for new potential therapeutic ...
Cornelia Sala, Elmar Schiebel
wiley +1 more source
CFAP100 couples microtubule glutamylation to spindle pole integrity in keratinocytes to promote epidermal development. [PDF]
Sun S+9 more
europepmc +1 more source
A model illustrating some aspects of muscle spindle physiology.
Andrzej Buller
openalex +2 more sources
Neural electrodes for brain‐computer interface system: From rigid to soft
Here, we review the development trends of neural electrodes in BCI. This paper highlights the critical role of electrodes in BCI systems, analyzes the limitations of rigid electrodes, and introduces various flexible electrodes. Furthermore, we discuss application scenarios and prospects of BCI electrode technology, aiming to provide valuable references
Dan Yang+7 more
wiley +1 more source
This review highlights the complex roles of cellular senescence in cancer progression and suppression, discusses the mechanisms and regulatory pathways involved, and evaluates the efficacy of the “One‐Two punch” sequential treatment approach while addressing emerging challenges in this novel therapeutic strategy.
Qiuming Pan+12 more
wiley +1 more source
Spatiotemporal dynamics of sleep spindles form spiral waves that predict overnight memory consolidation and age-related memory decline. [PDF]
Xu Y+5 more
europepmc +1 more source
Machine Learning Analysis of Hydrothermally Synthesized LiFePO4 for Lithium‐Ion Battery
This review provides a comprehensive analysis of hydrothermally synthesized LiFePO4 nanomaterials, focusing on their structural, morphological, and electrochemical properties. The machine learning techniques were used to analyze specific capacity variations under different hydrothermal synthesis conditions and electrochemical parameters, offering ...
Nita U. Kalugade+6 more
wiley +1 more source
Classification of first embryonic division stages of multiple Caenorhabditis species by deep learning. [PDF]
Khatri D, Negi P, Athale CA.
europepmc +1 more source