Results 241 to 250 of about 204,389 (300)

Migrasomes, Matrix‐Bound Nanovesicles, and More: Messengers in the Matrix

PROTEOMICS, EarlyView.
ABSTRACT Extracellular vesicles (EVs) and particles (EPs) are diverse micro‐ and nanoparticles that circulate in bodily fluids and can attach to, or be deposited onto, the extracellular matrix (ECM) and other surfaces. To date, the nomenclature and classification of matrix‐bound or matrix‐associated EVs and EPs (MEVPs) have been unclear, largely due to
Anna V. Kolesov, Natalie Reitz, Marley Dewey, Colin L. Hisey   +3 more
wiley   +1 more source

An RNA interference biopesticide reduces reproduction of the honey bee parasite Varroa destructor by down‐regulating embryo development pathways

Pest Management Science, EarlyView.
Varroa destructor mites exposed to dsRNA specific in sequence to a V. destructor calmodulin gene significantly effected gene expression of adult female mites sampled 5 days after entering a honey bee brood cell to reproduce. Significantly down‐regulated genes included Calmodulin and were associated with calcium ion binding and embryo developmental ...
Zoe E Smeele, Rose A McGruddy, James W Baty, Brian Manley, Kenneth Narva, Emma De Neef, Eric RL Gordon, Upendra K Devisetty, Katie Youngs, Antoine Felden, Philip J Lester   +10 more
wiley   +1 more source

Porcine reproductive and respiratory syndrome virus 2 hijacks CMA-mediated lipolysis through upregulation of small GTPase RAB18. [PDF]

PLoS Pathog
Li GL, Han YQ, Su BQ, Yu HS, Zhang S, Yang GY, Wang J, Liu F, Ming SL, Chu BB.   +9 more
europepmc   +1 more source

Deciphering the Heterogeneity of Pulmonary Macrophages in Response to Fine Particles

Small, EarlyView.
This study introduces a dual‐labeled gold nanoparticle model to capture particle–responsive cells via integrating fluorescence‐activated cell sorting and single‐cell RNA sequencing. Fourteen macrophage subsets are identified with response and function heterogeneity, among which AMs_3, AMs_7, and recMacs_4 subsets show stronger phagocytic activation ...
Qing'e Shan, Zheng Dong, Ning Li, Zijie Zhou, Jiayu Ren, Wei Liu, Feng Xu, Yu Qi, Juan Ma, Yi Liu, Shuping Zhang, Sijin Liu   +11 more
wiley   +1 more source

Proteomic Profiling of Alveolar Macrophages Identifies Loss of Lysosomal Content as an Indicator of Nanofiber‐Induced Frustrated Phagocytosis

Small, EarlyView.
This proteomic study examines how nanofibers affect lung macrophages by analyzing protein changes following exposure to various fibrous materials. Nanofibers triggered the release of inflammatory enzymes, and importantly, lysosomal content release was identified as an early event associated with frustrated phagocytosis. Seventeen sensitive and relevant
Tobias Stobernack, Antje Vennemann, Carla Ribalta, Julia Schendel, Oliver Gräb, Rico Ledwith, Mario Pink, Andrea Haase, Martin Wiemann, Verónica I. Dumit   +9 more
wiley   +1 more source

AtRAC7/ROP9 Small GTPase Regulates A. thaliana Immune Systems in Response to B. cinerea Infection. [PDF]

Int J Mol Sci
García-Soto I, Formey D, Mora-Toledo A, Cárdenas L, Aragón W, Tromas A, Duque-Ortiz A, Jiménez-Bremont JF, Serrano M.   +8 more
europepmc   +1 more source

Asymmetric Parietal Cortical Atrophy in a Patient with RAB39B‐Associated Parkinsonism

Movement Disorders Clinical Practice, EarlyView.
Luca Gallo, Emna Ben Mansour, Silvia Nicolosi, Anna Pichiecchio, Simone Gana, Samia Ben Sassi, Silvano Cristina, Micol Avenali, Enza Maria Valente   +8 more
wiley   +1 more source

Single‐cell RNA sequencing revealed the T‐cell heterogeneity and exhaustion subsets of Helicobacter pylori‐induced gastritis‐to‐cancer transformation

VIEW, EarlyView.
H. pylori infection is a major cause of stomach cancer, but its effect on immune cells in tumors is unclear. Using single‐cell sequencing, we mapped the stomach tumor environment and discovered a specific exhausted T‐cell subtype, marked by the FYB1 gene, that is abundant in H. pylori‐positive tumors and linked to patient prognosis. Our findings reveal
Yanhui Yang, Yanxia Liu, Xiaole Guo, Zhaorun Li, Ziyu Liu, Shuming Zhang, Yuma Yang, Jun Liu, Shoucheng Ma, Linke Ma, Xianmei Chen, Xue Li, Yuanyuan Tang, Xiaoling Ding, Xiaofei Li, Qian Hao, Yanjie You, Tingting Yang, Qingrui Li, Xue Zhang, Sihan Zhang, Hengjun Gao, Shengjuan Hu   +22 more
wiley   +1 more source

A multimodal deep learning framework for predicting sunitinib response in advanced clear cell renal cell carcinoma

VIEW, EarlyView.
In this study, we constructed a prognostic model for ccRCC patients treated with Sunitinib through a deep learning‐based multimodal approach. Our CGPR model further confirms the feasibility of integrating multimodal and provides guidance for future tumor patients to receive precision therapy.
Xi Tian, Yuchen Jiang, Shuxuan Zhu, Xiaohang Liu, Aihetaimujiang Anwaier, Shiqi Ye, Kun Chang, Yuanyuan Qu, Ya‐Jia Gu, Hailiang Zhang, Dingwei Ye, Wenhao Xu   +11 more
wiley   +1 more source

Mass spectrometry‐based mitochondrial proteomics for cancer biomarker discovery

VIEW, EarlyView.
Figure.1 Schematic diagram of MS‐based mitochondrial proteomics for cancer biomarker discovery. The workflow highlights the integration of advanced technological platforms in mitochondrial proteomics and their application in cancer biomarker discovery.
Zheng Cao, ZiKun Song, Weijie Zhou, Xiaohui Liu, Yanling Liu, Peng R. Chen, Kun Qian   +6 more
wiley   +1 more source