Results 221 to 230 of about 12,438,174 (289)

Cell‐cycle‐specific lesion evolution rather than inhibition of double‐strand‐break repair underpins cisplatin radiosensitization

Molecular Oncology, EarlyView.
We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu, Xixi Lin, Emil Mladenov, Veronika Mladenova, Jürgen Thomale, Ali Sak, Yao Wang, Yunxuan Deng, Eleni Gkika, Martin Stuschke, George Iliakis   +10 more
wiley   +1 more source

NKCC1: A key regulator of glioblastoma progression

Molecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen, Diana Freitag, Madlen Haase, Christian Senft, Falko Schwarz, Silke Keiner   +5 more
wiley   +1 more source

Deep feature optimization using fusion of multiple self-supervised learning approaches and filter-based feature selection for lung cancer histopathology classification. [PDF]

PLoS One
Vailankanni N, Nagarajan B.
europepmc   +1 more source

Streamlined calculation of kidney function using dynamic contrast-enhanced MRI with population-based arterial input function and a whole-kidney model. [PDF]

Eur Radiol Exp
Mu X, Liu MM, Al-Mubarak H, Kennedy P, Robson P, Cuevas J, Kuhn B, Badani K, Taouli B, Lewis S, Bane O.   +10 more
europepmc   +1 more source

Peptide-protein docking: from physics-based models to generative intelligence.

Chem Commun (Camb)
Ling K, Li S, Zhang Z, Shin WH, Kihara D.   +4 more
europepmc   +1 more source

Interpretable Bayesian optimization for catalyst discovery.

Faraday Discuss
Nair AS, Foppa L, Scheffler M.
europepmc   +1 more source