Results 181 to 190 of about 82,373 (261)

Compensatory Interplay Between Clarin‐1 and Clarin‐2 Deafness‐Associated Proteins Governs Phenotypic Variability in Hearing

Advanced Science, EarlyView.
Functional compensation between clarin‐1 and clarin‐2 in cochlear hair cells. Hearing loss associated with CLRN1 mutations shows striking phenotypic variability; however, the underlying mechanisms remain poorly understood. This study reveals that clarin‐1 and clarin‐2 function cooperatively in cochlear hair cells to sustain mechanoelectrical ...
Maureen Wentling, Aïda Yakhlef Sanchez, Nicolas Thelen, Müge Senarisoy, Maria Hogg, Steven Condamine, Andrea Lelli, Emilia Wysocka, Pranav Patni, Sandrine Vitry, Kerem Yasin Yildizhan, Sébastien Le Gal, Sylvie Nouaille, Michael R. Bowl, Marc Thiry, Didier Dulon, Sedigheh Delmaghani, Aziz El‐Amraoui   +17 more
wiley   +1 more source

Promoter Hypermethylation‐Induced Silencing of FXYD1 Drives Breast Cancer Metastasis via DDX5‐Mediated Wnt/β‐Catenin Pathway Activation

Advanced Science, EarlyView.
This study identifies FXYD1 as an epigenetically silenced tumor suppressor in breast cancer. DNA methylation turns off the gene FXYD1 in breast cancer, and low levels predict worse outcomes. Restoring FXYD1 limits breast cancer cells proliferation and metastasis. In the nucleus, FXYD1 recruits the E3 ligase MAEA to K63‐ubiquitinate DDX5 for proteasomal
Ping Wen, Fanli Qu, Long Wang, Qing Shao, Sisi Li, Yang Qin, Dongping Jiang, Senmiao Zhang, Jiangdong Sui, Guanwen Wang, Ningning Zhang, Xiaohua Zeng   +11 more
wiley   +1 more source

Efficient service mesh traffic management for cloud-native applications. [PDF]

PLoS One
Ahmed R, Ren S, Kim E, Lee C.
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Modeling and simulation of VANET routing protocols under realistic mobility patterns. [PDF]

Sci Rep
Sharma S, Kour S, Sarangal H.
europepmc   +1 more source

D5.2 Semi-Automated Traffic Analysis of Encrypted Network Traffic

This deliverable will describe a semi-automated tool to assess the degree of protection offered by privacy-friendly communication techniques (especially anonymisation methods based on onion routing) and a proposal how to improve the level of protection offered by state-of-the-art privacy-friendly communication techniques while minimising communication ...
openaire   +1 more source

Metal‐Supramolecular Drug Delivery System Empowered Meningeal Lymphatic Vessels‐Bridged Intracranial‐Peripheral Dual Immune Modulation for Reversing Glioblastoma Immune Suppression

Advanced Science, EarlyView.
A novel metal‐supramolecular nanoplatform (FLM@VC) enables efficient brain delivery via meningeal lymphatic vessels (MLVs), bypassing the blood‐brain barrier (BBB) through subcutaneous administration. It reprograms tumor‐associated macrophages (TAMs) and remodels the MLVs to promote DC trafficking and CD8+ T cell activation.
Chenxi Zhang, Zhongsheng Xu, Xiaowen Xu, Zening Zhang, Ranran Luo, Pengchen Ren, Yingying Luo, Qiuchi Wu, Xinyu Liu, Guodong Liu, Xiaojing He, Yun Liu   +11 more
wiley   +1 more source

Nanomedicine Meets Immunotherapy: Advancing Adoptive Cell Therapy with Nanoparticles in the Treatment of Cancer with Sustainability Perspectives

Advanced Science, EarlyView.
This review surveys nanoparticle‐based strategies to enhance adoptive cell therapy, particularly CAR‐T cell approaches, in solid tumor treatment. It describes how nanoparticles can improve tumor immunogenicity and T‐cell infiltration while reducing toxicity, and how they enable in vivo CAR‐T cell generation.
Erica Frostegård, Tatiana Bobrova, Amalie Leinebø, Thibault Leray, Shayamita Ghosh, Lorena García‐Hevia, Chiara Puccinelli, Lorenzo Riccio, Jacopo Sorani, Davide Bonifazi, Julien Caumartin, Emmanuel Donnadieu, Florence Gazeau, Roland Hischier, Else Marit Inderberg, Mónica L. Fanarraga, Maria Loustau, Bernd Nowack, Sébastien Wälchli, Cécilia Ménard‐Moyon   +19 more
wiley   +1 more source

Comprehensive and spatially detailed passenger vehicle and truck traffic volume data for the United States estimated by machine learning. [PDF]

Data Brief
Antonczak B, Fay M, Chawla A, Rowangould G.   +3 more
europepmc   +1 more source