Results 141 to 150 of about 10,759 (216)
SAV1 in Cooperation With FKBP52 Participates in Implantation
The MST‐SAV1 complex modulates FKBP52 phosphorylation to fine‐tune PR activity, ensuring timely uterine transition to receptivity under estrogen signaling for implantation. Stromal SAV1 scaffolds MST1/2‐mediated FKBP52 phosphorylation via noncanonical Hippo to promote PR activity.
Yuhan Shao +10 more
wiley +1 more source
In this study, an efficient screening system is developed for plant metabolites to find a compound, 7‐epi‐10‐deacetyltaxol, inhibits tissue elongation. It suppresses plant growth through brassinosteroid and microtubule pathways. It is later applied to animal cells and human tumor organoids, resulting in similar cell division suppression. These findings
Yan‐Jie Zhang +20 more
wiley +1 more source
TROP2 is identified as a novel tumor‐selective lysosomal‐targeting receptor with established clinical relevance. TROP2‐targeting chimeras (TRTACs) are developed by genetically fusing a TROP2‐binding nanobody to nanobodies against specific target proteins.
Luping Chen +10 more
wiley +1 more source
Real‐Time Monitoring of Mass and Mechanical Properties in Single Cells and Multicellular Spheroids
This study introduces photothermally actuated microcantilevers combined with optical microscopy to simultaneously measure morphology, mass, and mechanical properties of cellular systems in real‐time. The findings link cytoplasm‐dominated mechanical energy dissipation to the Q‐factor as a novel biophysical parameter.
Ilaria Incaviglia +8 more
wiley +1 more source
A dual‐transmembrane Bicephali CAR‐T platform simultaneously targets CD276 and NKG2D ligands to address antigen heterogeneity in non‐small cell lung cancer. By improving immune synapse formation, mitochondrial fitness, antioxidant capacity, and stem‐like persistence, this design enhances durable tumor control and provides a versatile strategy to ...
Lina Wang +8 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
A refined murine model of advanced ovarian cancer was established by comparing localized preperitoneal implantation and intraperitoneal injection of OVCAR‐3Luc cells. While localized implantation showed limited tumor persistence, intraperitoneal delivery with BME produced sustained diffuse dissemination confirmed by BLI and histology, providing a ...
M. Teresa Perelló‐Trias +5 more
wiley +1 more source
A zebrafish xenograft model accurately distinguishes metastatic from non‐metastatic HNSCC and recapitulates cisplatin sensitivity/resistance patterns. Using patient‐derived tumors, it predicts individual therapeutic responses, offering a rapid, clinically applicable platform for guiding personalized treatment. Abstract Background Head and neck squamous
Lu Chen +11 more
wiley +1 more source

