Results 101 to 110 of about 78,346 (261)
Generation of CCR4/CD7 Bispecific CAR‐T Cells Resistant to Fratricide and Exhaustion
The applications of CAR T‐cell therapy in T‐cell malignancies face limitations such as fratricide, effector‐cell exhaustion, and antigen‐escape. Herein, we developed fratricide‐ and exhaustion‐resistant CAR‐T cells that targeted CCR4 and CD7 simultaneously, with optional EGFRt safety switch. Additionally, scRNA‐seq unveiled new molecular targets, which
Sile Li +10 more
wiley +1 more source
Implications of the European integration: revisiting the hypothesis of ‘hub-and-spokes’ model
Already in 1994, Baldwin predicted the formation of the ‘hub-and-spokes’ model to describe the outcomes of economic integration across the European Union (EU) implying marginalization of the new EU member states.
Tinatin Akhvlediani +1 more
doaj +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Autologous tumor‐infiltrating lymphocyte (TIL) therapy shows promising efficacy in acral melanoma, yet determinants of durable response remain unclear. By integrating single‐cell transcriptomics and TCR sequencing, this study reveals that TIL products enriched for T follicular helper and intermediate exhausted T cells establish persistent clonal ...
Chao Zhang +12 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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 +4 more
wiley +1 more source
Background Consanguinity provides shortcuts to identify homozygous recessive mutations. However, deep-intronic variants escape standard sequencing (panel; exome/WES), and their pathogenicity cannot be inferred from genomic data. We applied WES, long-read
Angelika Bolte +8 more
doaj +1 more source
BioSenSRRF is an open‐source workflow that combines conventional FRET biosensors with SRRF reconstruction to generate sub‐diffraction FRET index maps on standard microscopes. The pipeline integrates automated image registration, SRRF reconstruction, quantitative FRET index calculation, and random line‐based hotspot analysis to uncover AURKA‐dependent ...
Nicolas Y. Jolivet +5 more
wiley +1 more source
This study reports the development of a fully humanized bispecific T cell engager targeting IL13RA2, a tumor‐associated antigen enriched in glioblastoma. This off‐the‐shelf immunotherapy drives potent, antigen‐dependent T cell activation and tumor killing, and prolongs survival in experimental GBM and other solid tumors models without detectable off ...
Joseph T. Duffy +16 more
wiley +1 more source
METTL3‐mediated m6A modification stabilizes KDR/Kdr mRNA through YTHDC2, amplifying the VEGFA‐KDR feedback loop and disturbing Th17/Treg balance. This pathway promotes persistent inflammation and tissue damage in patients with AIT, and inhibiting the METTL3‐KDR axis effectively disrupts this circuit, alleviating thyroid tissue injury and disease ...
Qingyi Hu +7 more
wiley +1 more source
Multimodal joint deconvolution and integrative signature selection in proteomics
Deconvolution is an efficient approach for detecting cell-type-specific (cs) transcriptomic signals without cellular segmentation. However, this type of methods may require a reference profile from the same molecular source and tissue type.
Yue Pan +5 more
doaj +1 more source

