Results 111 to 120 of about 124,779 (298)

Towards the preparation of synthetic outer membrane vesicle models with micromolar affinity to wheat germ agglutinin using a dialkyl thioglycoside

open access: yesBeilstein Journal of Organic Chemistry, 2019
A series of alkyl thioglycosides and alkyl thiodiglycosides bearing glucose and N-acetylglucosamine residues were prepared by thiol–ene coupling in moderate to good yields (40–85%).
Dimitri Fayolle   +5 more
doaj   +1 more source

T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities

open access: yesAdvanced Science, EarlyView.
T cell exhaustion limits immunotherapy efficacy. This article delineates its progression from stem‐like to terminally exhausted states, governed by persistent antigen, transcription factors, epigenetics, and metabolism. It maps the exhaustion landscape in the TME and proposes integrated reversal strategies, providing a translational roadmap to overcome
Yang Yu   +7 more
wiley   +1 more source

Integrating Spatial Proteogenomics in Cancer Research

open access: yesAdvanced Science, EarlyView.
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang   +13 more
wiley   +1 more source

Design and Immune Profile of Multi-Epitope Synthetic Antigen Vaccine Against SARS-CoV-2: An In Silico and In Vivo Approach

open access: yesVaccines
Background: The rapid advancement of the pandemic caused by SARS-CoV-2 and its variants reinforced the importance of developing easy-to-edit vaccines with fast production, such as multi-epitope DNA vaccines.
Maria da Conceição Viana Invenção   +19 more
doaj   +1 more source

Leveraging Macrophage Metabolic Reprogramming for Enhanced Anti‐Tumor Immunity

open access: yesAdvanced Science, EarlyView.
Tumor‐associated macrophages (TAMs) are key regulators of the tumor microenvironment (TME), with their metabolic states playing a critical role in tumor progression or regression. This review summarizes current understanding of TAM metabolic plasticity alongside cutting‐edge bioengineering innovations, outlining a roadmap for transforming the ...
Zhiyun Liu   +8 more
wiley   +1 more source

mRNA-Based Viral Vaccines: Revolutionizing Prophylaxis through Biotechnological Innovations and Virological Insights

open access: yesWah Academia Journal of Health and Nutrition
The post-genomic and post-pandemic era has brought about a paradigm shift in the realm of vaccinology, which has triggered a transition from empirical whole-pathogen strategies to rational information-driven molecular design.
Ali Abbas   +7 more
doaj   +1 more source

Patent Landscape of Helminth Vaccines and Related Technologies [PDF]

open access: yes, 2013
Executive Summary This report focuses on patent landscape analysis of technologies related to vaccines targeting parasitic worms, also known as helminths.
Burke, Rayna   +4 more
core   +1 more source

Small Extracellular Vesicles‐Derived Circ6718 Unlocks Stromal Remodeling and Serves as a Biomarker in Gastric Cancer

open access: yesAdvanced Science, EarlyView.
sEVs‐circ6718 serves as a promising serum biomarker for gastric cancer early diagnosis and prognosis, promoting malignant transformation in gastric cancer cells and GC‑MSC differentiation into CAFs. sEVs‑circ6718 holds potential as a biomarker for the early diagnosis and prognostic assessment of gastric cancer.
Fan Zhang   +7 more
wiley   +1 more source

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects

open access: yesAdvanced Science, EarlyView.
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

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

open access: yesAdvanced Science, EarlyView.
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

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