Results 151 to 160 of about 116,877 (316)

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

Molecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov, Shiva Krishna Katkam, Zhefan Wang, Venkateshwar G. Keshamouni   +3 more
wiley   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

Molecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau, Lilian G. Zhai, Ryunosuke Hoshi, Zackary Rousseau, Abraam Zakhary, Yin Fang Wu, Rola M. Saleeb, Heyu Ni, Kelsie L. Thu   +8 more
wiley   +1 more source

Prediction of jet engine parameters for control design using genetic programming

, 2014
The simulation of a jet engine behavior is widely used in many different aspects of the engine development and maintenance. Achieving high quality jet engine control systems requires the iterative use of these simulations to virtually test the ...
Giovanna Martinez Arellano, Cant, R, Martínez-Arellano, G, Lars Nolle, Richard Cant, Nolle, L   +5 more
core   +1 more source

Venue-aware researcher impact assessment using genetic programming

Journal of Big Data
Researcher evaluation remains a central challenge in scientometrics, where reliable, transparent, and context-sensitive methods are required for decisions related to recruitment, promotion, and awards.
Kainat Mubarik, Ghulam Mustafa, Suliman Aladhadh, Muhammad Tanvir Afzal, Muhammad Shaban Qabil   +4 more
doaj   +1 more source

CANTATA-prediction of missing links in Boolean networks using genetic programming. [PDF]

Bioinformatics, 2022
Müssel C, Ikonomi N, Werle SD, Weidner FM, Maucher M, Schwab JD, Kestler HA.   +6 more
europepmc   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Machine Learning Diffuse Optical Tomography Using Extreme Gradient Boosting and Genetic Programming. [PDF]

Bioengineering (Basel), 2023
Hauptman A, Balasubramaniam GM, Arnon S.
europepmc   +1 more source

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

A Genetic Programming Framework for Two Data Mining Tasks: Classification and Generalized Rule Induction

, 1997
This paper proposes a genetic programming (GP) framework for two major data mining tasks, namely classification and generalized rule induction. The framework emphasizes the integration between a GP algorithm and relational database systems. In particular,
Alex A. Freitas, Freitas, Alex A.
core  

Highlights of genetic programming 2020 events. [PDF]

Genet Program Evolvable Mach, 2021
Nicolau M.
europepmc   +1 more source