Writing the catalog of plasma membrane repair proteins
Peer-Reviewed Publication
Updates every hour. Last Updated: 2-Apr-2026 11:15 ET (2-Apr-2026 15:15 GMT/UTC)
Despite its importance to the survival of our cells, the processes of plasma membrane repair have remained elusive. Their relevance is underscored by the fact that mutations in plasma membrane repair proteins cause various diseases, likely arising from cell death due to unrepaired plasma membrane.
But now, researchers at the Okinawa Institute of Science and Technology (OIST) have captured this repair mechanism in new detail. Using budding yeast as a model organism, they identified 80 proteins involved in plasma membrane repair, 72 of them never reported before, and tracked their movements in real time.
Psychiatric diagnosis still relies on symptom checklists that were never designed to reflect biology. A peer-reviewed invited review published in Brain Medicine now synthesizes recent advances across four converging domains: conceptual frameworks that move beyond categorical labels, molecular and neurobiological biomarkers, digital phenotyping through smartphones and wearable devices, and machine learning approaches capable of integrating these heterogeneous data streams. The review authors, based at the University of Cambridge, argue that combining objective biological measurement with clinical judgment could yield diagnostic subtypes that predict illness trajectory and guide personalized treatment. They also identify formidable barriers, from data scarcity and algorithmic opacity to regulatory fragmentation and the risk of deepening health inequities.
In their Research review article, “Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation,” Hairong Zheng and Shanshan Wang (Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.) et al. provide a comprehensive overview of recent advances in generative modeling for medical imaging.
POSTECH Professor Jonghun Kam’s team identifies the role of typhoons in mitigating droughts through an analysis assuming a world without typhoons.
The development of clean and low-cost solar photovoltaic technology is crucial for the global transition toward carbon neutrality and sustainable energy. Monolithic all-perovskite tandem solar cells, constructed by stacking wide- and narrow-bandgap perovskite sub-cells with an intermediate interconnecting layer, offer a theoretical efficiency of up to 45%, positioning them as a promising next-generation photovoltaic technology. However, the short-circuit current density (Jsc) of state-of-the-art all-perovskite tandem devices remains limited to below 16.7 mA cm-2, primarily due to insufficient light utilization, which hinders further progress. Recently, Assistant Professor Renxing Lin and Professor Hairen Tan from the College of Engineering and Applied Sciences, Nanjing University published a comprehensive review titled “Light Management in Monolithic All-Perovskite Tandem Solar Cells” in Light: Science & Applications. This review describes the particularity of light management in all-perovskite tandem solar cells, and summarizes their advances, challenges, and prospects.