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Biomedical subjects

Zeyu Li

Publications and source records attributed to Zeyu Li.

2 recordsLinked to original sources

Isolation, characterization, and antibacterial activity of a novel Pasteurella multocida bacteriophage.

Pasteurella multocida is the main pathogen causing fowl cholera and poses a serious threat to the poultry industry. Current clinical control relies on antibiotics, but the prevalence of drug-resistant strains makes it urgent to develop new antibacterial strategies. In this study, a P. multocida-specific bacteriophage vB_PmuS_ZP41 was isolated and identified as a member of the family Siphoviridae by transmission electron microscopy. This phage showed lytic activity against 13 out of 19 clinical isolates of P. multocida (68.4%) and remained stable at 4-50°C and pH 3-9. The optimal multiplicity of infection was 0.01, with a latent period of 10 min and a burst size of approximately 56 PFU/cell. Whole-genome sequencing revealed that the phage genome is a double-stranded DNA of 38,592 bp, containing no virulence genes or antibiotic resistance genes, indicating good safety. In a chick infection model, phage treatment significantly improved the survival rate of infected chicks from 40% to 80%, significantly reduced bacterial loads in blood, lung, liver, and spleen, and decreased serum levels of TNF-α and IL-1β while alleviating histopathological damage. This study systematically characterized the biological properties of phage vB_PmuS_ZP41 and its antibacterial efficacy both in vitro and in vivo, providing an experimental basis and a candidate strain for the future development of phage therapy against avian pasteurellosis.

Biological characteristics

Inferring cell trajectories of spatial transcriptomics via optimal transport analysis.

The integration of cell transcriptomics and spatial position to organize differentiation trajectories remains a challenge. Here, we introduce SpaTrack, which leverages optimal transport to reconcile both gene expression and spatial position from spatial transcriptomics into the transition costs, thereby reconstructing cell differentiation. SpaTrack can construct detailed spatial trajectories that reflect the differentiation topology and trace cell dynamics across multiple samples over temporal intervals. To capture the dynamic drivers of differentiation, SpaTrack models cell fate as a function of expression profiles influenced by transcription factors over time. By applying SpaTrack, we successfully disentangle spatiotemporal trajectories of axolotl telencephalon regeneration and mouse midbrain development. Diverse malignant lineages expanding within a primary tumor are uncovered. One lineage, characterized by upregulated epithelial mesenchymal transition, implants at the metastatic site and subsequently colonizes to form a secondary tumor. Overall, SpaTrack efficiently advances trajectory inference from spatial transcriptomics, providing valuable insights into differentiation processes.

Animals