Results 191 to 200 of about 11,192,129 (306)

Machine Learning Approaches for Predicting Flow and Consistency Retention Performance in Cementitious Mixtures with Diverse Grinding Aid Dosages and Types. [PDF]

Materials (Basel)
Kaya Y, Kobya V, Mardani N, Tabansiz-Goc G, Cavdur F, Mardani A.   +5 more
europepmc   +1 more source

Castration‐resistant prostate cancer cells are addicted to the high activity of cyclin‐dependent kinase 2

Molecular Oncology, EarlyView.
We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee, Alessia Marin, Shivani Yalala, Harri M. Itkonen   +3 more
wiley   +1 more source

Correction to "Toward Chemical Accuracy for Chemi- and Physisorption with an Efficient Density Functional". [PDF]

J Phys Chem C Nanomater Interfaces
Kothakonda M, Patra A, Zhang R, Ning J, Furness J, Zhao Q, Sun J.   +6 more
europepmc   +1 more source

Partial FAK suppression promotes tumor growth, an effect reversed by macrophage p110δ PI3K inactivation

Molecular Oncology, EarlyView.
Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou, Niki Tzenaki, Anna Tsapara, Maria Tzardi, Evangelia A. Papakonstanti   +4 more
wiley   +1 more source

Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk

Molecular Oncology, EarlyView.
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley   +1 more source

Correction: Multi-sized microelectrode array coupled with micro-electroporation for effective recording of intracellular action potential. [PDF]

Microsyst Nanoeng
Xu X, Liu Z, Liu J, Yao C, Chen X, Huang X, Huang S, Shi P, Li M, Wang L, Tao Y, Chen HJ, Xie X.   +12 more
europepmc   +1 more source

Arginine methylation as a regulatory ratchet in cancer: From substrate selection to malignant‐state stabilization

Molecular Oncology, EarlyView.
Arginine methylation can be viewed as a persistence‐prone post‐translational modification regulated by a network of PRMTs. Competitive and compensatory interactions among PRMTs can redistribute methylation across substrate pools shaped by sequence, structural, spatial, and environmental layers, reinforcing RNA‐processing, chromatin, and signaling ...
So Hyun Kwon, Ji Min Lee
wiley   +1 more source

Optimization of milling operation parameters using Python-assisted GRA for enhanced surface quality and material behaviour. [PDF]

RSC Adv
Selvaraj G, Ponnusamy P, Thirumalaisamy R, Karuppusamy M, Sampson J, Manikandan P, Joy N, Sundararajan K, Mausam K, Palanisamy S, Alagarsamy A, Belay M.   +11 more
europepmc   +1 more source

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 more
wiley   +1 more source

Intelligent system in the cost control of commercial complex projects: Data-driven optimization method. [PDF]

PLoS One
Wang S, Li Y, Yao D, Li X.
europepmc   +1 more source