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The way in which the antagonist binds to the target molecule affects the intervention of its downstream pathway. Previously, an antagonistic strategy for CXC chemokine receptor 4 (CXCR4) utilizing two polymeric nanothreads is developed that self-assemble into patches on the cell surface. These patches induce CXCR4 clustering, leading to a significantly enhanced antagonism compared to conventional monovalent or multivalent receptor binding. However, the underlying mechanism remains unclear. Here, the critical role of Piezo Type Mechanosensitive Ion Channel Component 1 (PIEZO1) is revealed, a mechanically sensitive ion channel protein, in mechanotransduction during CXCR4 clustering-mediated antagonism. It is shown that the nanothreads patching on the cell surface trigger F-actin rearrangement, and generates mechanical stress, which subsequently activates PIEZO1. Conversely, the application of a PIEZO1 inhibitor significantly attenuates the CXCR4 antagonistic effect of nanothreads patching, resulting in less inhibition of downstream activities associated with epithelial-to-mesenchymal transition of cancer cells and their metastasis both in vitro and in vivo. This result highlights the involvement of PIEZO1-mediated mechanotransduction in amplifying CXCR4 antagonism through triggering receptor clustering.
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http://dx.doi.org/10.1002/adhm.202501072 | DOI Listing |
J Am Heart Assoc
September 2025
Department of Neurosurgery Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing China.
Background: The cellular composition and molecular mechanisms of the pathological arteries in Moyamoya disease (MMD) remain poorly understood. To improve our understanding of pathogenesis in MMD, we aimed to comprehensively map the cellular composition and molecular alterations within the pathological arteries of patients with MMD.
Methods: Superficial temporal artery samples were collected from patients with MMD (n=2) and healthy controls (n=3), yielding a total of 26 371 cells that were used for single-cell RNA sequencing.
NPJ Digit Med
September 2025
Cancer Center, Huizhou First Hospital, Huizhou, Guangdong, China.
Breast cancer is a leading cause of cancer-related mortality, with tumor heterogeneity and drug resistance posing significant challenges to treatment. We integrated single-cell RNA sequencing, spatial transcriptomics, and bulk RNA-seq deconvolution to analyze BRCA samples. Our analysis identified 15 major cell clusters, including neoplastic epithelial, immune, stromal, and endothelial populations.
View Article and Find Full Text PDF: Classical follicular lymphoma (FL) is a heterogeneous malignancy. Early progression within 24 months (POD24) is linked to poor outcomes. However, precise risk stratification remains unclear.
View Article and Find Full Text PDFAnn Neurol
August 2025
Department of Molecular Medicine, University of Southern Denmark, Odense, Denmark.
Objective: We aimed to investigate disease-related and anti-CD20 therapy-related changes in peripheral blood mononuclear cells (PBMCs) from multiple sclerosis (MS) patients compared to healthy controls (HC) using multi-omics single-cell analysis.
Methods: Targeted single-cell sequencing of transcriptomes and epitopes was performed on PBMCs isolated from 64 blood samples collected from MS patients at baseline and at 3 time points following anti-CD20 treatment, alongside HC. Multicolor spectral flow cytometry was performed on 15 of the samples.
Sci Rep
August 2025
Department of Hepatobiliary and Pancreatic Surgery (Ward 1), Affiliated Cancer Hospital of Xinjiang Medical University, Xinjiang Key Laboratory of Translational Biomedical Engineering, Urumqi, 830000, China.
Intercellular communication signals in the tumor microenvironment are closely related to behaviors such as cancer cell proliferation and immune evasion. However, the specific roles of intercellular signaling pathways in intrahepatic cholangiocarcinoma (ICC) have not yet been fully characterized. In this study, we analyzed publicly available single-cell RNA sequencing (scRNA-seq) data derived from paired samples of two intrahepatic cholangiocarcinoma (ICC) tissues and two adjacent normal tissues, thoroughly examining their cellular composition.
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