Results 131 to 140 of about 593,053 (260)
Towards an HLA Run-time Infrastructure with Hard Real-time Capabilities [PDF]
Our work takes place in the context of the HLA standard and its application in real-time systems context. The HLA standard is inadequate for taking into consideration the different constraints involved in real-time computer systems.
Adelantado, Martin +2 more
core
The inhibitory immune checkpoints HLA‐G and CD47 are expressed on certain tumor types and inhibit immune cells in the tumor microenvironment. DSP216 binds specifically to cancer cells expressing both HLA‐G and CD47, and blocks their inhibitory signaling.
Lisa J. Jacob +12 more
wiley +1 more source
Explore of nanopore sequencing technology in ambiguities of HLA genotyping
[Objective] To resolve the ambiguities of HLA genotyping generated by next generation sequencing (NGS) using nanopore sequencing technology. [Methods] A total of 38 samples with ambiguous HLA genotyping by NGS in our laboratory were collected, and HLA-A,
CHEN Nanying +6 more
doaj +1 more source
Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects
Bacterial outer membrane vesicles (OMVs) have emerged as versatile platforms for cancer vaccine development owing to their intrinsic immunostimulatory properties and high engineering flexibility. This review summarizes OMV biology, immune mechanisms, and engineering strategies that enhance vaccine efficacy, discusses key translational challenges, and ...
Jiabeini Zhang +9 more
wiley +1 more source
We identified GRIA2 as a critical driver of gastric cancer peritoneal metastasis through in vivo CRISPR screening. Mechanistically, GRIA2‐mediated calcium influx inhibits GSK3β and activates Wnt/β‐catenin signaling, driven by glutamate from cancer‐associated fibroblasts.
Jie Sun +13 more
wiley +1 more source
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin +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
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
Studying Macromolecular Composition in Cell–Cell Interfaces Using 3D Membrane Reconstitution Systems
A comprehensive understanding of the interactions between proteins, lipids and glycocalyx components at the immune synapse is still lacking. Here, an artificial and a semi‐artificial model contact system were established to reconstitute the cell‐cell contact in 3D. The model systems enable the examination of macromolecule enrichment or depletion at the
Franziska Ragaller +9 more
wiley +1 more source
Mesenchymal stromal cells (MSCs) show promise for treating immune‐related disorders through immunomodulation and tissue regeneration. This review gives a brief overview of current clinical approval of MSC therapies. It also discussed how bioengineering, including genetic modification, biomaterial delivery, extracellular vesicles, and iPSC‐derived MSCs,
Sichen Yang +6 more
wiley +1 more source

