Results 201 to 210 of about 79,761 (304)

HNRNPU K181 Lactylation Drives Cervical Cancer Growth by Upregulating PHGDH and Reprogramming Serine Metabolism

Advanced Science, EarlyView.
Lactate in cervical cancer induces HNRNPU K181 lactylation, opposed by NAA50‐mediated acetylation and suppressed by Pazopanib. This lactylation enhances HNRNPU binding to PHGDH pre‐mRNA exon 1, maintaining exon 1‐containing transcripts and mRNA stability, thereby activating serine metabolism.
Chang Zhang, Qingfei Meng, Hui Jiao, Huixin Liu, Xiangchao Wang, Honglan Zhou, Yishu Wang   +6 more
wiley   +1 more source

Machine Learning Techniques for Computational Characterization of Protein-Associated Small Molecules with Therapeutic Relevance. [PDF]

ACS Omega
Ali J, Aqib M, Ali Y, Malik MA.
europepmc   +1 more source

Frustrated Lewis Pairs and Metallic Ni Synergistically Enabled Low‐Temperature Hydrogenolysis of Lignin Models

Advanced Science, EarlyView.
Nickel–aluminum composite oxide (NiAlOx‐300) derived from NiAl layered double hydroxide showed high activity for hydrogenolysis of various lignin models. Especially, hydrogenolysis of benzyl phenyl ether could be efficiently proceeded at 20°C and 1 MPa H2.
Jinpeng Liang, Ziyi Ma, Zhaoxi Cai, Kongqian Liang, Chenglei Xiao, Sitong Chen, Na Wang, Zhimin Xue, Chao Xie, Jinliang Song   +9 more
wiley   +1 more source

Comparative entropy analysis of 2D transition metal tetrahydroxyquinones via machine learning approaches. [PDF]

Sci Rep
Irfan M, Bashir N, Gaid ASA, Althobaiti T, Rehman HU, Semaničová-Feňovčíková A.   +5 more
europepmc   +1 more source

A Bioinspired Three‐Dimensional High‐Curvature Nano‐Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning‐Assisted Prostate Cancer Precision Diagnosis

Advanced Science, EarlyView.
A biotin‐modified artificial insertion peptide functionalized three‐dimensional high‐curvature‐TiO2 nano‐interface was engineered in a microfluidic chip to improve the isolation efficiency of small extracellular vesicles (sEVs). This chip balanced affinity, releasability, and extendibility, enabling high‐throughput recovery of sEVs for downstream ...
Le Wang, Yizhong Liang, Manan Sulaiman, Jiaqi Du, Ming Jiang, Zhihua Wang, Xu Yu, Li Xu   +7 more
wiley   +1 more source

Entropy comparison of benzothiadiazole-based covalent-organic frameworks. [PDF]

Front Chem
Kurian S, Roy S, Gayathri KB, Jyothish K.   +3 more
europepmc   +1 more source

Dose‐Dependent Reprogramming of Chromatin Accessibility by SOX4 Drives the Transcriptional Response to Iron Overload

Advanced Science, EarlyView.
This study demonstrates that iron overload triggers widespread chromatin compaction and transcriptional repression in human granulosa cells, recapitulating features of endometriosis. The epigenetic reprogramming is orchestrated by a TFEB‐SOX4‐SWI/SNF axis, with SOX4 acting as a central, dosage‐sensitive regulator.
Feifei Li, Yaoqiu Wu, Guangyu Yang, Jingyi Lai, Xiaoyue Sun, Liyan Wang, Xiaoli Li, Jing Zhang, Qingxue Zhang, Hui Chen, Haiyan Lin, Bingxiang Xu, Junfeng Zhang, Hailong Wang, Anming Meng, Chunwei Cao   +15 more
wiley   +1 more source

QSAR analysis of drugs using graph based degree based topological indices and regression models. [PDF]

Sci Rep
Mufti ZS, Kabeer A, Almehizia AA, Ganati GA.   +3 more
europepmc   +1 more source

Haplotype‐Resolved 3D Genomic Landscapes and Their Impacts on Agronomic Traits in Grapevine

Advanced Science, EarlyView.
This study presents a haplotype‐resolved 3D genomic landscape of grapevine, revealing that structural variations (SVs) are closely associated with phased topologically associating domain (TAD) boundary transitions. These rearrangements coordinate with allele‐specific DNA methylation (ASM) and allele‐biased gene expression (ASE) to shape key agronomic ...
Yanling Peng, Lianzhu Zhou, Xinyue Fang, Ruoyan Zhao, Qi Xu, Mengrui Du, Ting Hou, Guizhou Huang, Yingchun Zhang, Sheng Yan, Ruo Yang, Zhongxin Jin, Yang Dong, Yanshuai Xu, Hua Xiao, Xiaodong Xu, Yi Liao, Xiping Wang, Yongfeng Zhou   +18 more
wiley   +1 more source

Graph and Hypergraph Theories Applied to Dynamic Protein-Protein Interaction Network Analysis, and Deep-Learning Frameworks for Protein Complex Network Prediction. [PDF]

Int J Mol Sci
Chan KY, Yamaguchi T, Izumiya Y, Chu YW, Watanabe T.   +4 more
europepmc   +1 more source