Professor Dong Zhang’s team at Beijing Chao-Yang Hospital reveals a new mechanism underlying the potent anti-tumor activity of TCRαβ+CD4-CD8- double-negative T cells
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Oct-2026 17:17 ET (22-Oct-2026 21:17 GMT/UTC)
A research team led by Professor Dong Zhang and Guangyong Sun at Beijing Chao-Yang Hospital has identified IFITM1 as a key regulator of the potent anti-tumor activity of TCRαβ+CD4-CD8- double-negative T cells (DNTs). IFITM1 recruits p62/SQSTM1 to mitochondria and promotes mitophagy, thereby preserving mitochondrial homeostasis, energy metabolism and the tumor-killing capacity of DNTs.
In shale reservoirs, total oil content does not necessarily show where oil is stored or how mobile it may be. Researchers led by Bo Liu at Northeast Petroleum University developed a multiscale workflow that combines swelling-extraction experiments, SEM/AFM pore characterization and molecular dynamics simulations. The study separates shale oil into five occurrence types: kerogen-swelling oil, adsorbed oil in organic pores, free oil in organic pores, adsorbed oil in inorganic pores and free oil in inorganic pores. The framework offers a tool with strong applicability across study areas for understanding oil-rock interactions and evaluating shale-oil mobility in continental shale systems.
A new study published in Science China Earth Sciences presents a comprehensive plan for scientific ocean drilling in the Huatung Basin, a key region in the western Pacific. Researchers propose a four-site drilling strategy for China’s new drilling vessel, Mengxiang, to resolve long-standing debates about the basin's age and the origin of the adjacent Gagua Ridge. The plan aims to determine if the Huatung Basin is a remnant of Mesozoic oceanic crust and to clarify the region's tectonic evolution, marking a potential shift for China’s role in leading international ocean drilling.
This collection features articles on Bioactive Supramolecular Systems published in Supramolecular Materials. All articles are free to read and download.
A data-knowledge dual-driven machine-intelligence framework enables experiment-efficient, full-chain synthesis of 2D dendrites. It achieves rapid process optimization within one week, constructs high-fidelity recipe-morphology mappings, and deciphers multifactorial growth mechanisms, requiring <70 experiments, which covers <1.5% of the total parameter combinations.