Results 261 to 270 of about 46,255 (310)

The BnTFL1‐BnJAM3‐BnSWEETs Module Orchestrates Seed Storage Reserve Accumulation in Brassica napus

Advanced Science, EarlyView.
BnaC03.TFL1 and BnaA01.JAM3 form a complex that facilitates the transport of soluble sugars from the seed coat to the embryo by directly activating the expression of BnSWEETs. Furthermore, BnaC03.TFL1 and BnaA01.JAM3 work cooperatively to promote soluble sugar and oil production while suppressing protein deposition.
Jianjun Wang, Zijin Liu, Minshan Jin, Junting Liu, Shihao Wei, Dengmao Yang, Saiqi Yang, Yuan Guo, Mingxun Chen   +8 more
wiley   +1 more source

Harnessing MDM2‐Mediated Targeted Degradation of Transcriptional and Epigenetic Machinery to Disrupt Oncogenic Addictions in Pediatric Sarcoma

Advanced Science, EarlyView.
MDM2 dependency in pediatric sarcomas is driven by a novel p53‐independent oncogenic cistrome alongside canonical p53 pathway suppression. This study introduces MDM2‐recruiting transcriptional and epigenetic machinery degraders (MDM2‐TEMADs) as a novel precision oncology modality.
Jiawei Zhou, Xian Guan, Nan Li, Ying Zhang, Long Xie, Xingze Huang, Zhipeng Zhu, Zhuolin Ren, Xiaoyan Yu, Hanjun Guo, Yuanfang Wu, Lin Ma, Suya Zheng, Jingyao Zhang, Jiyang Liu, Victor Kuanmin Lee, Wenhao Chen, H. Phillip Koeffler, Jinhu Wang, Xin Han, Ye Chen, Liang Xu   +21 more
wiley   +1 more source

Divergent Roles of mGlu2 and mGlu3 Receptors in Amyloid‐β Production and Cognitive Dysfunctions in Alzheimer's Disease

Advanced Science, EarlyView.
This study explores the opposing effects of the mGluR2 and mGluR3 receptors on amyloid precursor protein processing. mGluR2 promotes amyloidogenic cleavage, while mGluR3 favors non‐amyloidogenic pathways. Using a brain‐penetrant nanobody as a mGluR2 positive allosteric modulator, the study uncovers how its chronic activation aggravates amyloid‐β burden
Pierre‐André Lafon, Mireille Elodie Tsitokana, Ugo Guy Alenda, Yen‐Ling Lian, Clémentine Eva Philibert, Mathieu Oosterlaken, Marta Cimadevila, Gaëlle Dudon, Jessica Monnic, Salomé Roux, Julie Bessié, Séverine Diem, Franck Vandermoere, Laurent Prézeau, Patrick Chames, Julie Kniazeff, Sylvie Claeysen, Anaïs Menny, Jean‐Philippe Pin, Véronique Perrier, Jianfeng Liu, Philippe Rondard   +21 more
wiley   +1 more source

Collaborative filtering to guide the use of web browsers [PDF]

, 2005
Graham-Jones, J., Sanders, David, Chester, Simon, Tewkesbury, Giles, Bergasa-Suso, J.   +4 more
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Multi‐Omics Insights Into the Mechanisms of Early Muscle Fiber Difference and Transformation Between Lean‐Type and Chinese Indigenous Pigs

Advanced Science, EarlyView.
Multi‐omics analyses uncover breed‐specific cis‐regulatory landscapes and higher‐order chromatin architectural differences that underlie early postnatal muscle fiber divergence in pigs. A super‐enhancer upstream of PPP3CB recruits MEF2C to activate PPP3CB transcription, while the PPP3CB–MEF2C positive feedback loop promotes oxidative muscle fiber ...
Shuailong Zheng, Hainan Wu, Min Liu, Kunpeng Wu, Shuntao Huang, Zulfiqar Ahmed, Lenox Pius, Mengjin Zhu, Dequan Xu   +8 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Temporal Interference Stimulation Enhances Neural Regeneration

Advanced Science, EarlyView.
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressotti, Maria Garcia Garrido, Patrycja Dzialecka, Rachel Man Hoi Law, Roberto Portillo‐Lara, Bethany Geary, Elena Faillace, Shirine Merlo‐Nikpay Aslie, Marcelina Wojewska, Maria Otero‐Jimenez, Martina Genta, Luqiao Tan, Karen Duff, Javier Alegre‐Abarrategui, Rylie Green, Nir Grossmann   +15 more
wiley   +1 more source

Lyophilized Synthetic Platelets: In Vitro Characterization and in Vivo Evaluation in Mouse Thrombocytopenia Model

Advanced Science, EarlyView.
ABSTRACT Platelet transfusions to treat bleeding complications use donor‐derived platelets stored at room‐temperature, that have a shelf‐life of only 5–7 days due to bacterial contamination risks. Cold‐stored and freeze‐dried platelets are being investigated for extending shelf‐life, but these still have the inherent challenge of donor‐dependency.
Ujjal Didar Singh Sekhon, Dante Disharoon, Shrijal S. Desai, Baylee Traylor, Emily Gahagan, Emma Quill, Kristin Aldridge, Norman F. Luc, Sonali Rohiwal, Shruti Raghunathan, Rebecca Ahn, Sana Syed, Alexander Dornback, Bipin Chakravarthy Paruchuri, Andrew Ditto, Susan M. Shea, Philip C. Spinella, Matthew D. Neal, Michael A. Bruckman, Christa L. Pawlowski, Anirban Sen Gupta   +20 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

Advanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang, Ronghuan Xie, Qiang Cao, Shishen Yan, Xiaolin Wang, Limei Zheng   +5 more
wiley   +1 more source