Results 81 to 90 of about 133,038 (218)

Reprogramming Antitumor Immunity: NK Cell Strategies to Navigate the Immunosuppressive Tumor Microenvironment

open access: yesAdvanced Science, EarlyView.
ABSTRACT Tumor immune escape is a major barrier to durable cancer immunotherapy, as advanced malignancies create a tumor microenvironment (TME) that preferentially exhausts and disables T cell responses. While most approved cell therapies are T cell‐based, this limitation motivates the exploration of an alternative effector cell platform.
Tereza Kochs   +4 more
wiley   +1 more source

Integrated Single‐Cell and Spatial Analysis Reveals a Metabolic‐Immune Axis Driving Aortic Dissection

open access: yesAdvanced Science, EarlyView.
Single‐cell and spatial profiling of 110 human thoracic aortic samples reveals a stromal–immune circuit driving aortic dissection. An elastin‐rich fibroblast subset is depleted with age and markedly reduced in disease, weakening aortic wall integrity.
Jing Tao   +25 more
wiley   +1 more source

Prognostic value of lymphocyte subsets in diffuse large B cell lymphoma. [PDF]

open access: yesFront Oncol
Qiu L   +8 more
europepmc   +1 more source

Decoding Undesirable Inflammatory Responses of Nucleic Acid‐Delivering Lipid Nanoparticles

open access: yesAdvanced Science, EarlyView.
Lipid nanoparticles (LNPs) enable efficient nucleic acid delivery, but their immunogenicity is a double‐edged sword. This review explores LNP‐driven innate and adaptive immunity, covering lipid components, endosomal escape, and nucleic acid sensing.
Ruimin Hu   +6 more
wiley   +1 more source

Lighting up Macrophage Reprogramming Assists Immunosuppressive Niche Modulation in Primary Tumors and Tumor‐Draining Lymph Nodes of Breast Cancer

open access: yesAdvanced Science, EarlyView.
This study develops an intelligent NIR‐II‐responsive nanoplatform to combat immunosuppression in breast cancer. It enables real‐time visualization of macrophage activity via “off‐on” fluorescence while simultaneously reprogramming macrophages through the CSF‐1R and CD47‐SIRPα pathways.
Yingbo Li   +14 more
wiley   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

open access: yesAdvanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu   +5 more
wiley   +1 more source

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