Results 201 to 210 of about 152,477 (353)

Antitumoral Efficacy of AuNRs‐Laden ECFCs In Vitro and In Vivo: Decoding the Heat and Rays Combo Treatment in Breast Cancer and Melanoma Cells

open access: yesAdvanced Healthcare Materials, EarlyView.
Endothelial Colony Forming Cells (ECFCs) acted as cellular cyborgs, stealthily transporting gold nanorods (AuNRs) into tumors to enable targeted near‐infrared (NIR) hyperthermia combined with radiotherapy. This approach triggers ferroptosis in melanoma and inhibits autophagy in breast cancer, revealing a tumor‐specific response to nanomaterial‐assisted
Cecilia Anceschi   +26 more
wiley   +1 more source

Digitonin‐Loaded Nanoscale Metal–Organic Framework for Mitochondria‐Targeted Radiotherapy‐Radiodynamic Therapy and Disulfidptosis

open access: yesAdvanced Materials, EarlyView.
A mitochondria‐targeted cationic nanoscale metal organic framework shows strong radiotherapy‐radiodynamic therapy effects and selectively releases digitonin in acidic tumor microenvironments to induce disulfidptosis of cancer cells and downregulate immune checkpoints in cancer and T cells, thereby eliciting strong antitumor immunity to effectively ...
Wenyao Zhen   +7 more
wiley   +1 more source

Localization and distribution of Zn and Fe in grains of biofortified bread wheat lines through micro- and triaxial-X-ray fluorescence spectrometry

open access: yes, 2018
P. Cardoso   +9 more
semanticscholar   +1 more source

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

open access: yesAdvanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach   +4 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy