Results 191 to 200 of about 441,353 (265)

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Paternal Circadian Disruption Impairs Offspring Cognition via Sperm microRNAs

Advanced Science, EarlyView.
Paternal circadian disruption remodels the sperm small RNA payload, elevating miR‐92a‐3p/miR‐25‐3p levels and perturbing early embryonic gene regulatory programs. Microinjection experiments and single‐embryo transcriptomics reveal sex‐specific developmental vulnerabilities, ultimately impairing offspring hippocampal synaptic plasticity and cognition ...
Kexin Zou, Sisi Luo, Binliang Tang, Zhiqiang Liu, Yuchuan Zhou, Yicong Meng, Zhengmu Wu, Zheng Sun, Weihui Shi, Jianzhong Sheng, Chuanjin Yu, Zhenhua Li, Siyi Wei, Mo Zhang, Yujie Luo, Jing Yan, Xueyun Qin, Jiahang Mo, Chengliang Zhou, Jinsong Li, Hefeng Huang, Yifu Ding, Guolian Ding   +22 more
wiley   +1 more source

Heterogeneous graph neural network-based prediction of immune-related adverse events. [PDF]

Sci Rep
He X, Ni Q, Chen C, Li H, Ni L, Zhou J, Tang L, Peng B.   +7 more
europepmc   +1 more source

Neuid: A Novel Neuron‐Enriched LncRNA that Connects Epigenetic Gene Silencing to Alzheimer's Disease

Advanced Science, EarlyView.
ABSTRACT The increasing evidence that non‐coding RNAs can become deregulated during pathogenesis is dramatically expanding the space for drug discovery beyond the protein‐coding genome. Long noncoding RNAs (lncRNAs) are emerging as key regulators of cellular function, yet most remain uncharacterized.
Ranjit Pradhan, Zorica Petrovic, M. Sadman Sakib, Sophie Schröder, Dennis Manfred Krüger, Tonatiuh Pena, Eren Diniz, Susanne Burkhardt, Anna‐Lena Schütz, Verena Gisa, Iga Grzadzielewska, Karl Toischer, Thor D. Stein, Jan Krzysztof Blusztajn, Ivana Delalle, Jelena Radulovic, Farahnaz Sananbenesi, Andre Fischer   +17 more
wiley   +1 more source

Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Models. [PDF]

J Korean Med Sci
Kim SY, Wang S, Sohn KA, Choe EK.
europepmc   +1 more source

Size‐Modulated Mesoderm‐Endoderm Divergence and Myocardial Cavitation in Micropatterned Cardioids

Advanced Science, EarlyView.
Micropatterned cardioids, CRISPR‐engineered reporter hiPSCs, deep‐tissue imaging, and single‐cell RNA sequencing are integrated to model mesoderm‐endoderm co‐development. Heart‐foregut crosstalk promotes single large cavitation inside cardioids, resembling early heart chamber formation. ABSTRACT The human heart, originating from the splanchnic mesoderm,
Plansky Hoang, David W. McKellar, Andrew Kowalczewski, Nhu Y. Mai, Meng Chai, Xiaojun L. Lian, Yi Zheng, Jeffrey Amack, Nathan Tucker, Iwijn De Vlaminck, Huaxiao Yang, Benjamin D. Cosgrove, Zhen Ma   +12 more
wiley   +1 more source

PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction. [PDF]

PLoS Comput Biol
Yan K, Li M, Chen S, Liu T, Hao J, Liu B, Li Z.   +6 more
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Embedded CRISPRi Enhances Gene‐Silencing Efficiency in Drosophila

Advanced Science, EarlyView.
Current CRISPR interference (CRISPRi) technology in Drosophila has limited efficiency. This study introduces the emCRISPRi platform, which significantly enhances transcriptional silencing efficacy by embedding inhibitory domains within the dCas9 architecture.
Pengchong Fu, Xuedi Zhang, Ying Zhou, Jie Zheng, Angyang Sun, Kailong Zhuang, Weiwei Bao, Guanjun Gao   +7 more
wiley   +1 more source

A copula-infused graph neural network for cell type classification in single-cell RNA sequencing data. [PDF]

Comput Struct Biotechnol J
Min S, Lac L, Hu P.
europepmc   +1 more source