Results 171 to 180 of about 488,024 (316)

Active T1 transitions in cellular networks. [PDF]

Eur Phys J E Soft Matter, 2022
Duclut C, Paijmans J, Inamdar MM, Modes CD, Jülicher F.   +4 more
europepmc   +1 more source

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

Inferring ligand-receptor cellular networks from bulk and spatial transcriptomic datasets with BulkSignalR. [PDF]

Nucleic Acids Res, 2023
Villemin JP, Bassaganyas L, Pourquier D, Boissière F, Cabello-Aguilar S, Crapez E, Tanos R, Cornillot E, Turtoi A, Colinge J.   +9 more
europepmc   +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

Analysis of the relationship between urban dynamics and prevalence of remote work based on population data generated from cellular networks. [PDF]

Sci Rep, 2023
Akatsuka H, Toyoda M.
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

5G/B5G mmWave Cellular Networks with MEC Prefetching Based on User Context Information. [PDF]

Sensors (Basel), 2022
Maruta K, Nishiuchi H, Nakazato J, Tran GK, Sakaguchi K.   +4 more
europepmc   +1 more source

Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer

Molecular Oncology, EarlyView.
Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley   +1 more source

Traffic pattern prediction in cellular networks.

, 2011
PhDIncreasing numbers of users together with a more use of high bit-rate services complicate radio resource management in 3G systems. In order to improve the system capacity and guarantee the QoS, a large amount of research had been carried out on radio ...
Zhang, Kejing
core  

Deep Reinforcement Learning Based Resource Allocation for D2D Communications Underlay Cellular Networks. [PDF]

Sensors (Basel), 2022
Yu S, Lee JW.
europepmc   +1 more source