Results 211 to 220 of about 152,300 (264)

Gut–Metabolome–Proteome Interactions in Age‐Related Hearing Loss: Insights from Fecal Microbiota Transplantation and Multi‐Omics Analyses

Advanced Science, EarlyView.
Germ‐free (GF) mice receiving fecal microbiota transplantation (FMT) reveal microbiota‐dependent effects on auditory aging. Integrated metagenomic, metabolomic and proteomic profiling maps gut–inner ear network and highlights 5‐hydroxytryptophan (5‐HTP) as a microbiota‐linked metabolic hub in age‐related hearing loss (ARHL).
Ting Yang, Ziwen Gao, Hui Huang, Chanyuan Zhang, Yiquan Tang, Qianhui Qu, Huabin Li, Jing Ke, Zhiji Chen, Menglong Feng, Hu Zhou, Yilai Shu, Wei Yuan   +12 more
wiley   +1 more source

Leveraging long context in retrieval augmented language models for medical question answering. [PDF]

NPJ Digit Med
Zhang G, Xu Z, Jin Q, Chen F, Fang Y, Liu Y, Rousseau JF, Xu Z, Lu Z, Weng C, Peng Y.   +10 more
europepmc   +1 more source

The Evolutionarily Conserved TPM1 Super‐Enhancer Drives Skeletal Muscle Regeneration via Mechanotransduction Signaling

Advanced Science, EarlyView.
By integrating biomechanical and epigenetic cues, the evolutionarily conserved TPM1 super‐enhancer drives myogenesis via TEAD4‐mediated chromatin looping. This mechanism produces species‐specific outputs (linear TPM1 mRNA in mice and CircTPM1 in bovine) that activate PI3K/AKT mechanotransduction and the MYH10/MYL3 axis to execute cytoskeletal ...
Ruimen Zhang, Wanyou Feng, Yanyan Yang, Yu Pan, Chaoxia Zou, Leyi Wang, Sanbao Zhang, Yimin Zhao, Yongmei Wu, Jinling Wang, Jianwei Zou, Kehe Cen, Yongwang Zhang, Han Huang, Yurong Xu, Li Zhong, Hailong Gong, Juanru Cheng, Jingyuan Liang, Zihua Zheng, Qinyang Jiang, Jingwei Wei, Hui Li, Minhui Liang, Deshun Shi, Sufang Yang, Yanfei Deng, Yingming Wei   +27 more
wiley   +1 more source

GOAnnotator: accurate protein function annotation using automatically retrieved literature. [PDF]

Bioinformatics
Yan H, Liu H, Wang S, Zhu S.
europepmc   +1 more source

Bandit algorithms in information retrieval evaluation and ranking

, 2019
Sinyinda Muwanei, Hoo Wai Lam, Sri Devi Ravana, Douglas Kunda   +3 more
openalex   +1 more source

Spatio‐Temporal Proteomic Landscape Reveals Early Warning Signals of Esophageal Squamous Cell Carcinoma Progression

Advanced Science, EarlyView.
This study constructs a proteomic atlas of esophageal squamous cell carcinoma (ESCC) progression using esophageal biopsy samples. It identifies moderate dysplasia as the critical turning stage and a seven‐protein panel for early detection. Functionally, GBP6 loss promotes ESCC progression via cell cycle and epithelial‐mesenchymal transition (EMT ...
Xumiao Li, Jie Yuan, Min Gao, Jibin Liu, Qinqin Wang, Yaqi Zhang, Mingtao Cao, Xiaolin Hu, Hui Yang, Jun Li, Chen Li, Xiaoguang Li, Hui Wang   +12 more
wiley   +1 more source

TARGETFLOW:An automated literature mining pipeline for accelerating the discovery of high-potential targets in rare and mature diseases. [PDF]

MethodsX
Guo S, Shang T, Pan Y, Wu Y, Li Y, Zhou M.   +5 more
europepmc   +1 more source

Mutual Exclusion Analysis Shows that DUSP9 Negatively Regulates PD‐L1 Expression and Acts as a Target to Enhance Anti‐PD‐1 Efficacy

Advanced Science, EarlyView.
A mutually exclusive screening system is established to identify negative regulators of highly plastic genes. Dual specificity phosphatase (DUSP9) is a novel negative regulatory molecule of PD‐L1 by dephosphorylating STAT3, and acts as a target molecule in combination with PD‐1 antibody for tumor immunotherapy and a new clinical biomarker for ...
Yuzhe Hu, Ling Tang, Zheng Kuang, Danyi Huang, Ting Li, Gaofei Yin, Yingyu Chen, Wei Guo, Wenling Han, Pingzhang Wang   +9 more
wiley   +1 more source

Research on the construction and application of retrieval enhanced generation (RAG) model based on knowledge graph. [PDF]

Sci Rep
Wang S, Yang H, Liu W.
europepmc   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source