Results 201 to 210 of about 784,260 (281)

The Regulatory Role of Iron Transporter SLC39A13 in Liver Fibrosis

Advanced Science, EarlyView.
SLC39A13/ZIP13, a newly discovered intracellular iron transporter, delivers iron to the ER/Golgi to catalyze procollagen hydroxylation during collagen maturation. Here, we systematically characterize the cell type‐specific functions of ZIP13 across distinct hepatic cell populations, and identify hepatic stellate cell‐specific ZIP13 as a promising and ...
Shanshan Guo, Yalin Wang, Binyu Lu, Yu Zhang, David M. Frazer, Bing Zhou   +5 more
wiley   +1 more source

Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction. [PDF]

Sci Rep
Tang J, Zhu R, Wu F, He X, Huang J, Zhou X, Sun Y.   +6 more
europepmc   +1 more source

Core Fucosylation Represses SMURF1‐Dependent Degradation of CD47 to Promote Tumor Immune Evasion

Advanced Science, EarlyView.
FUT8‐mediated core fucosylation of CD47 at N111 blocks SMURF1 binding and reduces CD47 ubiquitination and degradation. Blocking N111 glycosylation reduces CD47 expression and promotes macrophage phagocytosis of tumor cells. Furthermore, ablating CD47 core fucosylation boosts CD103+ dendritic cells (DCs) infiltration, increases natural killer (NK) cell ...
Yuting Cao, Siyuan Chai, Mingyang Li, Xiaoming Chen, Jiating Hu, Bingyi Lin, Liming Wu, Wen Yi, Qiang Zhu   +8 more
wiley   +1 more source

Traffic flow prediction based on improved deep extreme learning machine. [PDF]

Sci Rep
Tian X, Wu S, Xing X, Liu H, Gao H, Chen C.   +5 more
europepmc   +1 more source

Magnetic Resonance Imaging Reveals Meningeal Lymphatic Impairment in Lung Adenocarcinoma Brain Metastasis Progression

Advanced Science, EarlyView.
This study demonstrates meningeal lymphatic impairment associated with lung adenocarcinoma brain metastasis progression in both human patients and mouse models, establishes clinically applicable non‐invasive imaging biomarkers for quantitative analyzing mLV structure and function, and reveals mLVs as robust prognostic indicators and promising potential
Yuan Zhang, Shucheng Jin, Penghui Guo, Yuying Yin, Yichun Hua, Xiaosheng Ding, Zhe Zhang, Shuo Chen, Xu Han, Baowang Li, Yan Liu, Xiaoyan Li, Deling Li, Jing Jing, Wei Shi, Wang Jia   +15 more
wiley   +1 more source

Modeling and Analysis of Mixed Traffic Flow Considering Driver Stochasticity and CAV Connectivity Uncertainty. [PDF]

Sensors (Basel)
Zeng Q, Hao S, Zhao N, Liu R.
europepmc   +1 more source

All‐PEG‐Like Block Copolymers Self‐Assemble into Stealth Nanocarriers for Drug Delivery

Advanced Science, EarlyView.
Self‐assembling nanoparticles composed entirely of POEGMA are engineered by exploiting side‐chain–dependent amphiphilicity and tunable thermoresponsive behavior. These single‐material nanocarriers encapsulate diverse hydrophobic drugs with high efficiency, retain therapeutic activity, improve in vivo efficacy, and evade anti‐PEG antibodies.
Parul Sirohi, Brooke E. Silverstein, Yulia Shmidov, Sonal Deshpande, Joy Tong, Yvonne Y. Ma, Chinmay S. Potnis, Soumen Saha, Xinghai Li, Max R. Ney, Sarah Y. Kim, Joshua J. Milligan, Lixin Fan, Matthew L. Becker, Daniel Reker, Ashutosh Chilkoti   +15 more
wiley   +1 more source

Enhancing Airport Traffic Flow: Intelligent System Based on VLC, Rerouting Techniques, and Adaptive Reward Learning. [PDF]

Sensors (Basel)
Vieira M, Vieira MA, Galvão G, Louro P, Fantoni A, Vieira P, Véstias M.   +6 more
europepmc   +1 more source

GPCRs in CAR‐T Cell Immunotherapy: Expanding the Target Landscape and Enhancing Therapeutic Efficacy

Advanced Science, EarlyView.
Chimeric antigen receptor T cell therapy faces dual challenges of target scarcity and an immunosuppressive microenvironment in solid tumors. This review highlights how G protein‐coupled receptors can serve as both novel targets to expand the therapeutic scope and functional modules to enhance CAR‐T cell efficacy.
Zhuoqun Liu, Yuchen Xiao, Yamin Zhao, Lihe Dai, David J.H. Shih, Shikang Liang, Honglei Tian, Liu Liu, Feng Tian, Bing Liu, Lei Chang, Chao Zhang   +11 more
wiley   +1 more source

T-RippleGNN: Predicting traffic flow through ripple propagation with attentive graph neural networks. [PDF]

PLoS One
Ji A, Ma X.
europepmc   +1 more source