Publications by authors named "D S Liao"
Lagerstroemia excelsa is a unique plant species from China, holds a significant aesthetic and economic value, and plays a crucial role in landscape architecture and horticulture. Thus far, there is little genetic and genomic information available about this species, which limits its use in development of new cultivars. In this study, a high-quality genome map of L.
View Article and Find Full Text PDFGlioblastoma multiforme (GBM) is characterized by pronounced immune escape and resistance to chemotherapy-induced apoptosis. Preliminary investigations revealed a marked overexpression of gasdermin E (GSDME) in GBM. Notably, cisplatin (CDDP) demonstrated a capacity of inducing pyroptosis by activating caspase-3 to cleave GSDME, coupled with the release of proinflammatory factors, indicating the potential as a viable approach of inducing anti-tumor immune activation.
View Article and Find Full Text PDFThe discovery of broadly protective antibodies to the influenza virus neuraminidase (NA) has raised interest in NA as a vaccine target. However, recombinant, solubilized tetrameric NA ectodomains are often challenging to express and isolate, hindering the study of anti-NA humoral responses. To address this obstacle, we established a panel of 22 non-adherent cell lines stably expressing native, historical N1, N2, N3, N9, and NB NAs anchored on the cell surface.
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- Understanding the associations between traits and microbial composition is critical for microbiome research, but machine learning models often struggle due to the data's high-dimensional, compositional, and imbalanced nature.
- To tackle these challenges, a new data augmentation method called PhyloMix has been developed, which uses phylogenetic relationships to generate synthetic microbial samples that enhance model performance.
- PhyloMix significantly outperforms other data augmentation techniques and is effective in both supervised learning and contrastive representation learning, demonstrating its broad applicability in microbiome studies.
This study examines how coping strategies and social support mediate the relationship between type D personality and psychological distress in COPD patients. A sample of 351 patients completed surveys on demographics, psychological distress (Kessler Psychological Distress Scale), social support (Social Support Self-Rating Scale), coping strategies (Chinese version of Medical Coping Modes Questionnaire), and type D personality (Type D Personality Scale). Using structural equation modeling (SEM) via AMOS 23.
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