Cytokines Drive the Formation of Memory-Like NK Cell Subsets via Epigenetic Rewiring and Transcriptional Regulation

Cytokines Drive the Formation of Memory-Like NK Cell Subsets via Epigenetic Rewiring and Transcriptional Regulation

In the context of today’s rapid advancement in science and technology, immunotherapy with natural killer (NK) cells has attracted widespread attention in the scientific community for their potential advantages in combating tumors and viral infections. Especially, the discovery of memory-like NK cells has brought new hope for NK cells as an anticanc...

Ventral Subiculum Promotes Wakefulness Through Several Pathways in Male Mice

The Ventral Subiculum Promotes Wakefulness Through Multiple Pathways in Male Mice Background The ventral subiculum (vsub) is a major output region of the hippocampus, playing a crucial role in motivation, stress integration, and anxiety-like behavior, all of which depend on a high state of wakefulness. However, the role of vsub in wakefulness and i...

Supervised Latent Factor Modeling Isolates Cell-Type-Specific Transcriptomic Modules That Underlie Alzheimer's Disease Progression

Overview A paper titled “Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression” was published in Communications Biology. The paper was co-authored by research scientists from institutions such as McGill University, Université de Montréal, Yale University, and Rush Universi...

A prognostic neural epigenetic signature in high-grade glioma

Study of Neuroepithelial Genetic Markers and Prognosis in High-Grade Gliomas Background and Research Motivation High-grade gliomas are highly malignant brain tumors with generally poor patient prognosis. Previous preclinical model studies have suggested that interactions between neural and tumor cells drive tumor growth, but clinical validation of ...

Beta to Theta Power Ratio in EEG Periodic Components as a Potential Biomarker in Mild Cognitive Impairment and Alzheimer's Dementia

Alzheimer’s Disease Research and Treatment Frontiers: Beta/Theta Power Ratio in EEG Periodic Components as a Potential Biomarker Background Introduction Alzheimer’s dementia (AD) is a progressively developing disease, accounting for 60% to 80% of all dementia cases [1]. In the early stages of AD, mild cognitive impairment (MCI) typically occurs, du...

Theta Oscillations Support Prefrontal-Hippocampal Interactions in Sequential Working Memory

Study on Theta Oscillations in Hippocampus-Prefrontal Interaction Supporting Sequential Working Memory Academic Background The dorsolateral prefrontal cortex (DLPFC) and the hippocampus play crucial roles in sequential working memory, but the specific interaction mechanisms are not yet clear. Previous studies have shown that these two brain regions...

Increases in Pre-Stimulus Theta and Alpha Oscillations Precede Successful Encoding of Crossmodal Associations

Enhancement of Theta and Alpha Oscillations Prior to Crossmodal Memory Encoding Background Episodic memory is a crucial component of human memory, with one of its core mechanisms being the formation of associations through stimuli from different sensory channels. Current theories suggest that during crossmodal associative encoding, the phase and po...

Hierarchical Negative Sampling Based Graph Contrastive Learning Approach for Drug-Disease Association Prediction

Research on Drug-Disease Association Prediction Using Graph Contrastive Learning Based on Layered Negative Sampling The prediction of drug-disease associations (RDAs) plays a critical role in unveiling disease treatment strategies and promoting drug repurposing. However, existing methods mainly rely on limited domain-specific knowledge when predict...

Predicting Drug-Target Affinity by Learning Protein Knowledge from Biological Networks

Predicting Drug-Target Affinity Based on Learning Protein Knowledge from Biological Networks Background The prediction of drug-target affinity (DTA) plays a crucial role in drug discovery. Efficient and accurate DTA prediction can significantly reduce the time and economic costs of new drug development. In recent years, the explosive development of...

Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization

Application of Knowledge-Enhanced Graph Topic Transformer in Interpretable Biomedical Text Summarization Research Background Due to the continuous increase in the volume of biomedical literature, the task of automatic biomedical text summarization has become increasingly important. In 2021 alone, 1,767,637 articles were published in the PubMed data...