Background:  Hub1, a conserved ubiquitin-like protein, is essential for pre-mRNA splicing and transcriptional regulation in Saccharomyces cerevisiae. Despite its known functions, the genome-wide effects of  Hub1 overexpression remain largely uncharacterized. This study investigates the transcriptomic and splicing landscape changes triggered by  Hub1 overexpression using an integrative bioinformatic approach. Results: We analyzed RNA-seq data from the GSE84215 dataset, employing differential expression, alternative splicing, functional enrichment, and network-based methods. DESeq2 identified 3,915 differentially expressed genes (DEGs; 1,964 upregulated, 1,951 downregulated, padj < 0.05), demonstrating extensive transcriptional reprogramming. Principal component analysis revealed that  Hub1 overexpression explained 98% of transcriptional variance, indicating its dominant regulatory influence. Using rMATS, we detected seven exon skipping events, with  DYN2 showing significant differential splicing (FDR = 0.0481, \u0394PSI = - 0.036). MaxEntScan analysis confirmed that DYN2's 5' splice site is significantly weaker than canonical yeast splice sites (score = - 18.32, p = 0.03), consistent with Hub1's role in facilitating non-consensus splicing. Functional enrichment analyses revealed metabolic reprogramming, with upregulated pathways including biosynthesis of secondary metabolites and carbon metabolism, while growth-related processes like ribosome biogenesis and cell cycle were downregulated. Gene Set Enrichment Analysis (GSEA) further supported stress response activation (p53 signaling, NES = 1.255) and cell cycle suppression (NES = - 0.692). Weighted Gene Co-expression Network Analysis (WGCNA) identified 61 co-expression modules, with the brown module highly correlated with  Hub1 overexpression (r = 0.99, p < 0.001) and enriched in biosynthetic and proteasome pathways. Protein-protein interaction network analysis revealed 35  Hub1 interactors, including spliceosomal components, reinforcing its central role in RNA processing. Conclusion: Our findings reveal that  Hub1 overexpression drives coordinated transcriptional and post-transcriptional changes, promoting metabolic reprogramming while specifically modulating splicing of genes with weak splice sites like  DYN2. These results establish  Hub1 as a dual regulator linking transcriptional control with splicing precision, suggesting a regulatory mechanism that enhances cellular adaptability under stress conditions."}, "link": "/reference/S100001349", "pubmed_id": 41053551, "journal": {"med_abbr": "BMC Genomics"}, "sgdid": "S100001349", "year": 2025, "id": 2730914, "related_references": [], "expression_datasets": [], "downloadable_files": [{"id": 2731105, "data_id": 247558, "format_id": 248597, "readme_file_id": "", "file_size": 6419965, "data": {"id": 247558, "name": "EDAM:2526", "obj_url": "/edam/EDAM:2526", "description": "Data concerning, extracted from, or derived from the analysis of a scientific text (or texts) such as a full text article from a scientific journal."}, "format": {"id": 248597, "name": "EDAM:2330", "obj_url": "/edam/EDAM:2330", "description": "Textual format."}, "is_public": "True", "file_extension": "gz", "topic": {"id": 250483, "name": "EDAM:3070", "obj_url": "/edam/EDAM:3070", "description": "A particular biological science, especially observable traits such as aspects of biochemistry, physiology, morphology, anatomy, development and so on."}, "s3_url": "https://sgd-prod-upload.s3.amazonaws.com/S000381041/41053551.tar.gz", "description": "PubMed Central download", "year": 2025, "display_name": "41053551.tar.gz", "status": "Active", "readme_file_url": null}], "urls": [{"display_name": "DOI full text", "link": "http://dx.doi.org/10.1186/s12864-025-12006-w"}, {"display_name": "PMC full text", "link": "http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502333/"}, {"display_name": "PubMed", "link": "http://www.ncbi.nlm.nih.gov/pubmed/41053551"}, {"display_name": "PubTator", "link": "https://www.ncbi.nlm.nih.gov/research/pubtator3/publication/41053551?text=41053551"}], "reftypes": [{"display_name": "Journal Article"}], "authors": [{"display_name": "Billah NMA", "link": "/author/Billah_NMA"}, {"display_name": "Khan U", "link": "/author/Khan_U"}, {"display_name": "Islam KMD", "link": "/author/Islam_KMD"}, {"display_name": "Abdul-Awal SM", "link": "/author/Abdul-Awal_SM"}, {"display_name": "Billah MM", "link": "/author/Billah_MM"}], "counts": {"interaction": 0, "go": 0, "phenotype": 0, "disease": 0, "complement": 0, "regulation": 0, "ptms": 0}};
	
	
	
    
    
	
     Background:  Hub1, a conserved ubiquitin-like protein, is essential for pre-mRNA splicing and transcriptional regulation in Saccharomyces cerevisiae. Despite its known functions, the genome-wide effects of  Hub1 overexpression remain largely uncharacterized. This study investigates the transcriptomic and splicing landscape changes triggered by  Hub1 overexpression using an integrative bioinformatic approach. Results: We analyzed RNA-seq data from the GSE84215 dataset, employing differential expression, alternative splicing, functional enrichment, and network-based methods. DESeq2 identified 3,915 differentially expressed genes (DEGs; 1,964 upregulated, 1,951 downregulated, padj < 0.05), demonstrating extensive transcriptional reprogramming. Principal component analysis revealed that  Hub1 overexpression explained 98% of transcriptional variance, indicating its dominant regulatory influence. Using rMATS, we detected seven exon skipping events, with  DYN2 showing significant differential splicing (FDR = 0.0481, ΔPSI = - 0.036). MaxEntScan analysis confirmed that DYN2's 5' splice site is significantly weaker than canonical yeast splice sites (score = - 18.32, p = 0.03), consistent with Hub1's role in facilitating non-consensus splicing. Functional enrichment analyses revealed metabolic reprogramming, with upregulated pathways including biosynthesis of secondary metabolites and carbon metabolism, while growth-related processes like ribosome biogenesis and cell cycle were downregulated. Gene Set Enrichment Analysis (GSEA) further supported stress response activation (p53 signaling, NES = 1.255) and cell cycle suppression (NES = - 0.692). Weighted Gene Co-expression Network Analysis (WGCNA) identified 61 co-expression modules, with the brown module highly correlated with  Hub1 overexpression (r = 0.99, p < 0.001) and enriched in biosynthetic and proteasome pathways. Protein-protein interaction network analysis revealed 35  Hub1 interactors, including spliceosomal components, reinforcing its central role in RNA processing. Conclusion: Our findings reveal that  Hub1 overexpression drives coordinated transcriptional and post-transcriptional changes, promoting metabolic reprogramming while specifically modulating splicing of genes with weak splice sites like  DYN2. These results establish  Hub1 as a dual regulator linking transcriptional control with splicing precision, suggesting a regulatory mechanism that enhances cellular adaptability under stress conditions. 
    
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Reference: Billah NMA, et al. (2025) Integrative analysis of Hub1 overexpression: driving transcriptional reprogramming and alternative splicing in Saccharomyces cerevisiae. BMC Genomics 26(1):885
            
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