Results 191 to 200 of about 4,279,934 (276)

Overcoming platinum resistance by the disulfiram metabolite CuET in novel preclinical models of human carcinomas

Molecular Oncology, EarlyView.
Cisplatin‐resistant cancer cells survive DNA‐damaging platinum‐based treatment yet remain sensitive to CuET‐induced proteotoxic stress. The distinct mechanism of action allows CuET to overcome and eliminate cisplatin‐resistant tumour cells, unless highly expressed metallothioneins (MTs) interfere with CuET, thereby highlighting MT levels as candidate ...
Stefanos Arampatzis, Tereza Buchtová, Jirina Bartkova, Marie Lund Bay, Christoffer Lynge Halvorsen, Zuzana Machacova, Zdenek Skrott, Martin Mistrik, Ekaterina Dulina, Miguel Andujar‐Sanchez, Estrid Høgdall, Tine Henrichsen Schnack, Claus Høgdall, Berit Jul Mosgaard, Marie Boennelycke, Jacob Brink Laursen, Allan Jensen, Susanne K. Kjær, Tuula Kallunki, Robert Strauss, Jiri Bartek   +20 more
wiley   +1 more source

Predictive Modeling of Bacterial Inactivation With Hydrogen Peroxide Over a Cobalt Ferrite Catalyst. [PDF]

Chemphyschem
Husak V, Danyliuk N, Roubik H, Bobrova O, Hammond SDH, Shyichuk A.   +5 more
europepmc   +1 more source

An outer membrane vesicle‐associated two‐track model for enterotoxigenic Bacteroides fragilis oncogenesis

Molecular Oncology, EarlyView.
Enterotoxigenic Bacteroides fragilis is a gut bacterium linked to bowel cancer. We propose that its toxin acts along two routes: at the cell surface, cutting the adhesion protein E‐cadherin and triggering inflammation; and inside the cell, delivered by bacterial vesicles, switching on NOD1 and cancer stem cell programs.
Kangchan Choi, Sang‐Hyeon Yoo, Ki‐Jong Rhee   +2 more
wiley   +1 more source

Identifying a structural brain network for social anxiety: connectome-based predictive modeling and network analyses in a transdiagnostic sample. [PDF]

Transl Psychiatry
Meinert H, Gruber M, Brügge EDE, Brüwer L, Sindermann L, Winter A, Slump TM, Breuer F, Schrammen E, Meinert S, Goltermann J, Grotegerd D, Repple J, Redlich R, Bonnekoh LM, Bauer J, Dannlowski U, Böhnlein J, Leehr EJ.   +18 more
europepmc   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

FEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová, Grigorii Rakhalskii, Miroslav Almáši   +2 more
wiley   +1 more source

Machine Learning-Based Predictive Modeling for the Development of Chronic Rhinosinusitis Using Longitudinal Health Records. [PDF]

Int Forum Allergy Rhinol
Varghese JR, Chang S, Prabhakar AR, Zhang JF, Balbin RA, Guadarrama-Sistos-Vazquez S, Dhanda A, Hu R, Yim MT, Fu X, Takashima M, Ahmed OG.   +11 more
europepmc   +1 more source

Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids

FEBS Open Bio, EarlyView.
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão, Diogo M. Engrácia, Graça Soveral, Filipa Mendes   +3 more
wiley   +1 more source

Predictive Modeling of Healthcare Workers' Priorities of the WHO 2030 Key Activities for Snakebite Prevention and Control in Ghana. [PDF]

J Trop Med
Nyarko E, Atubiga IA, Tchorly FS, Hamman NA, Uppal A, Mohammed N, Kyei L, Fernandez EA, Baidoo I.   +8 more
europepmc   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source