1.Conserved translational control in cardiac hypertrophy revealed by ribosome profiling.
Bao-Sen WANG ; Jian LYU ; Hong-Chao ZHAN ; Yu FANG ; Qiu-Xiao GUO ; Jun-Mei WANG ; Jia-Jie LI ; An-Qi XU ; Xiao MA ; Ning-Ning GUO ; Hong LI ; Zhi-Hua WANG
Acta Physiologica Sinica 2025;77(5):757-774
A primary hallmark of pathological cardiac hypertrophy is excess protein synthesis due to enhanced translational activity. However, regulatory mechanisms at the translational level under cardiac stress remain poorly understood. Here we examined the translational regulations in a mouse cardiac hypertrophy model induced by transaortic constriction (TAC) and explored the conservative networks versus the translatome pattern in human dilated cardiomyopathy (DCM). The results showed that the heart weight to body weight ratio was significantly elevated, and the ejection fraction and fractional shortening significantly decreased 8 weeks after TAC. Puromycin incorporation assay showed that TAC significantly increased protein synthesis rate in the left ventricle. RNA-seq revealed 1,632 differentially expressed genes showing functional enrichment in pathways including extracellular matrix remodeling, metabolic processes, and signaling cascades associated with pathological cardiomyocyte growth. When combined with ribosome profiling analysis, we revealed that translation efficiency (TE) of 1,495 genes was enhanced, while the TE of 933 genes was inhibited following TAC. In DCM patients, 1,354 genes were upregulated versus 1,213 genes were downregulated at the translation level. Although the majority of the genes were not shared between mouse and human, we identified 93 genes, including Nos3, Kcnj8, Adcy4, Itpr1, Fasn, Scd1, etc., with highly conserved translational regulations. These genes were remarkably associated with myocardial function, signal transduction, and energy metabolism, particularly related to cGMP-PKG signaling and fatty acid metabolism. Motif analysis revealed enriched regulatory elements in the 5' untranslated regions (5'UTRs) of transcripts with differential TE, which exhibited strong cross-species sequence conservation. Our study revealed novel regulatory mechanisms at the translational level in cardiac hypertrophy and identified conserved translation-sensitive targets with potential applications to treat cardiac hypertrophy and heart failure in the clinic.
Animals
;
Humans
;
Cardiomegaly/physiopathology*
;
Ribosomes/physiology*
;
Protein Biosynthesis/physiology*
;
Mice
;
Cardiomyopathy, Dilated/genetics*
;
Ribosome Profiling
2.Mechanisms of ribosomopathy and phase separation-related ribosomopathy.
Zhiyuan PAN ; Guofen LIN ; Hao LIU ; Guozhi LI ; Xiaoyi ZHANG ; Jiewen DAI
Journal of Zhejiang University. Science. B 2025;26(6):503-526
Ribosome is an intracellular ribonucleoprotein particle that serves as the site of protein biosynthesis. Ribosomal dysfunction caused by mutations in genes encoding ribosomal proteins (RPs) and ribosome biogenesis factors (RBFs) can lead to a spectrum of diseases, collectively known as ribosomopathy. Phase separation is a thermodynamic process that produces multiple phases from a homogeneous mixture. The formation of membraneless organelles and intracellular structures, including ribosomes and nucleoli, cannot occur without the involvement of phase separation. Here, ribosome structure, biogenesis, and their relationship with ribosomopathy are systematically reviewed. The tissue specificity of ribosomopathy and the role of phase separation in ribosomopathy are particularly discussed, which may offer some clues for understanding the mechanisms of ribosomopathy. Then, some new ideas for the prevention, diagnosis, and treatment of ribosomopathy are provided.
Humans
;
Ribosomes/physiology*
;
Ribosomal Proteins/metabolism*
;
Mutation
;
Animals
;
Cell Nucleolus/metabolism*
;
Protein Biosynthesis
;
Phase Separation
3.Transcriptomic analysis reveals key lncRNAs associated with ribosomal biogenesis and epidermis differentiation in head and neck squamous cell carcinoma.
Yu-Zhu GUO ; Hui-Hui SUN ; Xiang-Ting WANG ; Mei-Ting WANG
Journal of Zhejiang University. Science. B 2018;19(9):674-688
OBJECTIVE:
In this study, we aimed to expand current knowledge of head and neck squamous cell carcinoma (HNSCC)-associated long noncoding RNAs (lncRNAs), and to discover potential lncRNA prognostic biomarkers for HNSCC based on next-generation RNA-seq.
METHODS:
RNA-seq data of 546 samples from patients with HNSCC were downloaded from The Cancer Genome Atlas (TCGA), including 43 paired samples of tumor tissue and adjacent normal tissue. An integrated analysis incorporating differential expression, weighted gene co-expression networks, functional enrichment, clinical parameters, and survival analysis was conducted to discover HNSCC-associated lncRNAs. The function of CYTOR was verified by cell-based experiments. To further identify lncRNAs with prognostic significance, a multivariate Cox proportional hazard regression analysis was performed. The identified lncRNAs were validated with an independent cohort using clinical feature relevance analysis and multivariate Cox regression analysis.
RESULTS:
We identified nine HNSCC-relevant lncRNAs likely to play pivotal roles in HNSCC onset and development. By functional enrichment analysis, we revealed that CYTOR might participate in the multistep pathological processes of cancer, such as ribosome biogenesis and maintenance of genomic stability. CYTOR was identified to be positively correlated with lymph node metastasis, and significantly negatively correlated with overall survival (OS) and disease free survival (DFS) of HNSCC patients. Moreover, CYTOR inhibited cell apoptosis following treatment with the chemotherapeutic drug diamminedichloroplatinum (DDP). HCG22, the most dramatically down-regulated lncRNA in tumor tissue, may function in epidermis differentiation. It was also significantly associated with several clinical features of patients with HNSCC, and positively correlated with patient survival. CYTOR and HCG22 maintained their prognostic values independent of several clinical features in multivariate Cox hazards analysis. Notably, validation either based on an independent HNSCC cohort or by laboratory experiments confirmed these findings.
CONCLUSIONS
Our transcriptomic analysis suggested that dysregulation of these HNSCC-associated lncRNAs might be involved in HNSCC oncogenesis and progression. Moreover, CYTOR and HCG22 were confirmed as two independent prognostic factors for HNSCC patient survival, providing new insights into the roles of these lncRNAs in HNSCC as well as clinical applications.
Adult
;
Aged
;
Cell Differentiation
;
Cells, Cultured
;
Female
;
Gene Expression Profiling
;
Head and Neck Neoplasms/pathology*
;
Humans
;
Male
;
Middle Aged
;
Proportional Hazards Models
;
RNA, Long Noncoding/physiology*
;
Ribosomes/physiology*
;
Squamous Cell Carcinoma of Head and Neck/pathology*

Result Analysis
Print
Save
E-mail