Results 191 to 200 of about 246,578 (242)

HSP70 Interactome‐Mediated Proteolysis Targeting Chimera (HSP70‐PROTAC) for Ferroptosis‐Driven Cancer Treatment

Advanced Science, EarlyView.
This study reports a novel targeted protein degradation strategy termed “HSP70‐PROTAC” that recruits Hsc70 complex to a target protein for inducing degradation. Among them, GDAz‐3 exhibits effective GPX4 degradation activity via UPS/CMA processes, triggering ferroptosis‐driven anticancer activity in vitro and in vivo.
Jinyun Dong, Yulong Li, Hui Liang, Zumei Wu, Shiqun Wang, Yichao Wang, Jieyu Xu, Yanning Lan, Maohua Cai, Guangzhao Pan, Haiyan Yang, Kai Miao, Zhe‐Sheng Chen, Fangfang Tao, Xuelei Ma, Jiang‐Jiang Qin   +15 more
wiley   +1 more source

Loss of SOCS1 in Donor T Cells Exacerbates Intestinal GVHD by Driving a Chemokine‐Dependent Pro‐Inflammatory Immune Microenvironment

Advanced Science, EarlyView.
T cell‐specific Socs1 knockout leads to inflammatory differentiation of CD8+ T cells, prompting the STAT1/2 complex to drive the activation of Ccl5, Ccr5, and Cxcr3, and promoting the skewing of monocytes toward a pro‐inflammatory M1 macrophage lineage.
Zhigui Wu, Bixia Wang, Xinya Jiang, Fangqing Zhang, Qianqian Huang, Xinyi Wu, Shuang Fan, Qi Zhang, Jingrui Zhou, Jianing Tang, Xiao‐Dong Mo, Yu Wang, Ying‐Jun Chang, Huidong Guo, Xiao‐Jun Huang   +14 more
wiley   +1 more source

Nap1L4a Cooperates with Scl/Klf1 to Recruit H2A.Z in Mediating Interactions Among Cis‐Regulatory Elements and Transcription Required for Primitive Erythropoiesis in Zebrafish

Advanced Science, EarlyView.
Nap1l4a is required in erythropoiesis and hypoxia responses via physical interaction with Klf1 and Scl to recruit the histone variant H2A.Z. This facilitates its associated cis‐regulatory element (CRE) remodeling and the consequent chromatin assembly, and activates the transcription of erythroid lineage‐specific genes.
JiaHao Shi, FuMing Lai, Zheng Shen, XiaoYan Zhang, HanFei Wang, WenYe Liu, YunLong Wang, KuanYu Li, GuoLiang Li, YaPing Fang, Jing‐Xia Liu   +10 more
wiley   +1 more source

APOE‐stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease

Advanced Science, EarlyView.
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li, Yike Chen, Daniel Western, Muhammad Ali, Menghan Liu, Katherine Gong, Ying Xu, Joseph Lowery, David M. Holtzman, Chloe Robins, John D. Eicher, Yen‐Ning Huang, ShiWei Liu, Tamina Park, Andrew J. Saykin, Kwangsik Nho, Mahdi Moqri, Richard C. Mohs, Amelia Farinas, Patricia Moran‐Losada, Hamilton Se‐Hwee Oh, Tony Wyss‐Coray, Carlos Cruchaga   +22 more
wiley   +1 more source

Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties

Advanced Science, EarlyView.
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz, Niek van Hilten, Tatjana Weil, Thunchanok Thummaraj, Jeroen Methorst, Dennis Aschmann, Alexander Kros, Clarissa Read, Jasmina Gačanin, Herre Jelger Risselada, Jan Münch   +10 more
wiley   +1 more source

Light Therapy Alleviates Addiction‐Related Symptoms and Reshapes Habenula and Midbrain Pathways

Advanced Science, EarlyView.
This study investigates light therapy for treating Internet Gaming Disorder (IGD). Functional MRI (fMRI) data reveal that light therapy enhances brain connectivity, particularly between the habenula and the medial orbitofrontal cortex (mOFC). These changes are associated with reduced withdrawal symptoms and addiction severity, highlighting the ...
Jinhui Li, Huiyang Huang, Cunhao Hu, Xuan Zhang, Song Lin, Xiaodan Huang, Ti‐fei Yuan, Kwok‐Fai So, Lu Huang, Chaoran Ren, Qian Tao   +10 more
wiley   +1 more source

OPTRACE: Optical Imaging–Guided Transplantation and Tracking of Cells in the Mouse Brain

Advanced Science, EarlyView.
OPTRACE establishes an optical, two‐step platform for intracerebral cell therapy. Transparent glass pipettes enable real‐time, image‐guided delivery, while multiplex genetic labeling with two‐photon and bioluminescence readouts supports longitudinal single‐cell tracking and host–graft dynamics.
Jinghui Wang, Honglin Tan, Colleen Russell, Mikolaj Walczak, Dawei Gao, Guanda Qiao, Xiaoxuan Fan, Chengyan Chu, Miroslaw Janowski, Piotr Walczak, Yajie Liang   +10 more
wiley   +1 more source

A Natural Sweetener‐inducible Genetic Switch Controls Therapeutic Protein Expression in Mammals

Advanced Science, EarlyView.
This study develops a natural sweetener, the psicose‐inducible transgene expression (PURE) system based on an Agrobacterium tumefaciens–derived transcriptional repressor PsiR. The PURE system is highly specific to psicose, being insensitive to other sugars and structurally similar molecules.
Longliang Qiao, Zhihao Wang, Shasha Tang, Yuan Fang, Guiling Yu, Xiaoting Qiu, Lingxue Niu, Tao Yan, Xingwan Liu, Xiaoding Ma, Deqiang Kong, Yang Zhou, Ningzi Guan, Jinzhong Tian, Meiyan Wang, Haifeng Ye, Fengfeng Cai   +16 more
wiley   +1 more source

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STOCK PRICE PREDICTION

YMER Digital, 2022
Machine learning has many important applications in the stock price prediction. Here, we will discuss about predicting the returns on stocks. This has uncertainties and it is a very complex task. This project will be developed into two parts: First, we will learn how to predict stock price using the Long Short-Term Memory neural networks.
V BIKSHAM, B VISHAL KUMAR, C RAHUL, G VENU, M BHARGAV SAI   +4 more
openaire   +1 more source

Stock Price Prediction

2023
In this study, the last two years' hourly opening and closing prices of the banks' stocks traded on BIST-30 were used as the dataset. The research is aimed to predict the closing prices of these stocks in the light of machine learning. In this context, the authors propose a new method containing ensemble learning algorithms and fuzzy clustering ...
Ahmet Tezcan Tekin, Ferhan Çebi, Tolga Kaya   +2 more
openaire   +1 more source