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Biomedical subjects

Jianwei Qi

Publications and source records attributed to Jianwei Qi.

2 recordsLinked to original sources

Evolution and Expression Divergence of Legume PAL Genes Suggest Associations with Drought Response and Root Nodule Development.

Comparative genomic analyses provide insight into the mechanisms underlying gene-family evolution and crop adaptation. Here, we used the legume phenylalanine ammonia-lyase (PAL) gene family as a model and integrated pan-genomic, phylogenetic, molecular evolutionary, duplication-mode, and transcriptomic analyses, while developing GFtool for gene family identification. Across 45 genomes, we identified 302 PAL genes and classified them into five Groups. Groups 1-3 represented ancient lineages shared with outgroups, whereas Groups 4 and 5 were legume-specific. Molecular-clock analyses placed the divergence of Group 2 near the Paleocene-Eocene transition, while Groups 4 and 5 diversified from the middle Eocene to the early Oligocene. WGD/segmental duplication broadly contributed to PAL copy-number expansion, whereas tandem duplication was enriched in Group 5 of Papilionoideae. Group 2 genes showed drought-induced expression, whereas Group 5 genes were associated with early root nodule development. GFtool provides a scalable framework for gene-family studies.

Fabaceae

Proteogenomic features define subtypes of mantle cell lymphoma.

Mantle cell lymphoma (MCL) is a biologically heterogeneous B-cell malignancy. Although genomics and transcriptomics have delineated parts of the MCL disease spectrum, proteomics remains largely unexplored. Here, we conducted a comprehensive proteogenomic analysis integrating genomics, transcriptomics, and proteomics on peripheral blood samples from 27 patients with MCL and 4 healthy donors to investigate the translational and posttranslational dimensions of MCL. Our study identified 1296 downregulated and 468 upregulated proteins in MCL cells. The splicing pathways were significantly upregulated at both the mRNA and protein levels, suggesting a critical role for aberrant RNA splicing in MCL pathogenesis. Integration of proteomic data with genetic aberrations revealed immunoglobulin heavy chain variable mutational status and CCND1 mutation are associated with distinctive transcriptomic and proteomic profiles, which correspond to significant differences in clinical outcomes. A multiomics molecular stratification model incorporating proteomic data showed superior predictive power for patient survival compared with single-omics models (concordance index, 0.83 vs 0.74). This study provides, to our knowledge, the first comprehensive proteogenomic profile of MCL, offering novel insights into its molecular mechanisms and clinical behavior. The identification of molecular subtypes and prognostic protein signatures underscores the potential of proteomics to guide precision medicine strategies for MCL.

Humans