Results 91 to 100 of about 7,303 (247)

Pre‐Encoded IFN‐I Sensitivity Exacerbates Memory T Cell Senescence in Solid Tumors

Advanced Science, EarlyView.
Type I interferon (IFN‐I) signaling promotes p21‐dependent cell cycle arrest in senescent tumor‐specific memory T cells, resulting in poor proliferative responses and solid tumor regression during cancer vaccination. Conversely, IFNα/β receptor blockade reinvigorates T cell proliferation to regress solid tumors and is more effective with increasing ...
Andrew Nguyen, Scott R Walsh, Li Deng, Lan Chen, Yonghong Wan   +4 more
wiley   +1 more source

Wijsman Rough λ Statistical Convergence of Order α of Triple Sequence of Functions [PDF]

, 2017
Ayhan Eşi, N. Subramanian, M. Aiyub
openalex   +1 more source

Temporal and Cell‐Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1

Advanced Science, EarlyView.
Chd1, the Drosophila homologue of mammalian CHD2 ‐ a gene linked to autism, epilepsy, and intellectual disability, is required for synaptic homeostatic plasticity. Chd1 in glia is necessary for the rapid induction of synaptic homeostasis, whereas Chd1 in motoneurons, muscle, and glia is critical for long‐term maintenance.
Danielle T. Morency, Tao Cui, Yimei Cai, Chloe Lok, Rachel E. Nokku, Ruoxian Huang, Grace L. Chu, Yumeng Xie, Saleem W. Abu‐Tayeh, Kaikai He, Chengjie Qiu, Junyi Wang, Paxton M. Paganelli, Ting Wang, Gabrielle Williams, Sreejith Nair, Huadong Pei, Dion K. Dickman, Stefano Vicini, Tingting Wang   +19 more
wiley   +1 more source

Atomistic Understanding of 2D Monatomic Phase‐Change Material for Non‐Volatile Optical Applications

Advanced Science, EarlyView.
Antimony is a promising monatomic phase‐change material. Scaling down the film thickness is necessary to prolong the amorphous‐state lifetime, but it alters the optical properties. The combined computational and experimental study shows that, as thickness decreases, the extinction coefficient and optical contrast are reduced in the near‐infrared ...
Hanyi Zhang, Xueqi Xing, Jiang‐Jing Wang, Chao Nie, Yuxin Du, Junying Zhang, Xueyang Shen, Wen Zhou, Matthias Wuttig, Riccardo Mazzarello, Wei Zhang   +10 more
wiley   +1 more source

Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties

Advanced Science, EarlyView.
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz, Niek van Hilten, Tatjana Weil, Thunchanok Thummaraj, Jeroen Methorst, Dennis Aschmann, Alexander Kros, Clarissa Read, Jasmina Gačanin, Herre Jelger Risselada, Jan Münch   +10 more
wiley   +1 more source

SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers

Advanced Science, EarlyView.
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai, Jing‐Shan Liao, Jia‐Jun Ma, Yu‐Xuan Pang, Yi‐Gang Chen, Yang‐Chi‐Dung Lin, Yi‐Dan Chen, Xin Cao, Yi‐Cheng Zhang, Tao‐Sheng Xu, Tzong‐Yi Lee, Hsi‐Yuan Huang, Hsien‐Da Huang   +12 more
wiley   +1 more source

Lipid‐Facilitated Opening of the ADAM10 Sheddase Revealed by Enhanced Sampling Simulations

Advanced Science, EarlyView.
Phosphatidylserine acts as a lipid trigger to enhance activation of the sheddase ADAM10. By integrating fluorescence spectroscopy assays with enhanced sampling molecular dynamics simulations, this study shows that phosphatidylserine promotes ADAM10 catalytic activity along with expansion of its extracellular domains, enhancing accessibility to scaffold
Adrien Schahl, Nandan Haloi, Marta Carroni, Shengpan Zhang, Quentin James Sattentau, Erdinc Sezgin, Lucie Delemotte, Rebecca J. Howard   +7 more
wiley   +1 more source

Machine Learning Discovery of Record‐Low Lattice Thermal Conductivity in Double Perovskites

Advanced Science, EarlyView.
 A deep learning interatomic potential is introduced to predict forces for computing phonon properties and thermal transport behavior in double perovskites. Screening 9,709 compounds identifies 1,597 stable materials, and Boltzmann transport calculations including both three and four‐phonon scattering suggests a record‐low lattice thermal conductivity ...
Md Zaibul Anam, Alejandro Rodriguez, Riccardo Rurali, Ming Hu   +3 more
wiley   +1 more source

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

Advanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan, Beibei Xu, Jenna McCormack, XuHai Huang, Jingzhe Ma, Thomas Marshall, Yacong Sun, Hardeep Singh, Alyssa Fanelli, Gauri Kulkarni, Ji Hye Seo, Paige Gilbride, Bing Wei, Bo Wang, Yanyan Liu, Fei Ma, Lin Zhou, Shuyang Wang, Xiaohua Qian, Zhiyong Xie, Polina Golland, Longlong Si, Yu Shrike Zhang, Xin Xie, Haiqing Bai   +24 more
wiley   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source