Hepatocellular carcinoma (HCC), a leading liver tumor globally, is influenced by diverse risk factors. Cellular senescence, marked by permanent cell cycle arrest, plays a crucial role in cancer biology, but its markers and roles in the HCC immune microenvironment remain unclear. Three machine learning methods, namely k nearest neighbor (KNN), support vector machine (SVM), and random forest (RF), are utilized to identify eight key HCC cell senescence markers (HCC-CSMs). Consensus clustering revealed molecular subtypes. The single-cell analysis explored the tumor microenvironment, immune checkpoints, and immunotherapy responses. In vitro, RNA interference mediated BIRC5 knockdown, and co-culture experiments assessed its impact. Cellular senescence-related genes predicted HCC survival information better than differential expression genes (DEGs). Eight key HCC-CSMs were identified, which revealed two distinct clusters with different clinical characteristics and mutation patterns. By single-cell RNA-seq data, we investigated the immunological microenvironment and observed that increasing immune cells allow hepatocytes to regain population dominance. This phenomenon may be associated with the HCC-CSMs identified in our study. By combining bulk RNA sequencing and single-cell RNA sequencing data, we identified the key gene BIRC5 and the natural killer (NK) cells that express BIRC5 at the highest levels. BIRC5 knockdown increased NK cell proliferation but reduced function, potentially aiding tumor survival. These findings provide insights into senescence-driven HCC progression and potential therapeutic targets.

To date, Leucobacter species have been identified from diverse sources with various ecological and functional roles. However, the genomic features and pathogenic potential of antibiotic-resistant Leucobacter strains remain understudied. Here, we isolated the Leucobacter sp. HNU-1 from tropical Hainan Province, China, and found it can induce diapause in Caenorhabditis elegans following ingestion, while exhibiting no significant effects on the nematode’s lifespan, survival rate, locomotion, and intestinal epithelial cells. This bacterium demonstrates resistance to multiple antibiotics, including kanamycin, streptomycin, sulfonamides, and vancomycin. On LB medium, Leucobacter sp. HNU-1 forms yellow, opaque colonies with a smooth, moist surface, regular edges, a convex center, and no surrounding halo, with diameters ranging from 2 to 3 mm. Furthermore, we performed whole-genome sequencing using third-generation high-throughput sequencing technology. De novo assembly revealed a genome size of 3,375,033 bp, with a GC content of 70.37%. A total of 3270 functional genes, accounting for 88.98% of the genome, were annotated, along with six potential CRISPR sequences and other genetic elements. Genomic and bioinformatic analyses further identified antibiotics-related genes. This research provides a theoretical foundation for investigating antibiotic-resistant environmental bacteria in tropical environments and offers new insights into potential therapeutic strategies for microbial infections and host–microbe interactions.

To date, Leucobacter species have been identified from diverse sources with various ecological and functional roles. However, the genomic features and pathogenic potential of antibiotic-resistant Leucobacter strains remains understudied. Here, we isolated the Leucobacter sp. HNU-1 from tropical Hainan Province, China, and found it can induce diapause in Caenorhabditis elegans following ingestion, while exhibiting no significant effects on the nematode's lifespan, survival rate, locomotion, and intestinal epithelial cells. This bacterium demonstrates resistance to multiple antibiotics, including kanamycin, streptomycin, sulfonamides, and vancomycin. On LB medium, Leucobacter sp. HNU-1 forms yellow, opaque colonies with a smooth, moist surface, regular edges, a convex center, and no surrounding halo, with diameters ranging from 2 to 3 mm. Furthermore, we performed whole-genome sequencing using third-generation high-throughput sequencing technology. De novo assembly revealed a genome size of 3,375,033 bp, with a GC content of 70.37%. A total of 3,270 functional genes, accounting for 88.98% of the genome, were annotated, along with six potential CRISPR sequences and other genetic elements. Genomic and bioinformatic analyses further identified antibiotics-related genes. This research provides a theoretical foundation for investigating antibiotic-resistant environmental bacteria in tropical environments and offers new insights into potential therapeutic strategies for microbial infections and host-microbe interactions.