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Ryu S, Nakashima H, Tanaka Y, Mukai R, Ishihara Y, Tominaga T, Ohshima T. Ribosomal Protein S4 X-Linked as a Novel Modulator of MDM2 Stability by Suppressing MDM2 Auto-Ubiquitination and SCF Complex-Mediated Ubiquitination. Biomolecules 2024; 14:885. [PMID: 39199272 PMCID: PMC11351588 DOI: 10.3390/biom14080885] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/19/2024] [Accepted: 07/20/2024] [Indexed: 09/01/2024] Open
Abstract
Mouse double minute 2 (MDM2) is an oncoprotein that is frequently overexpressed in tumors and enhances cellular transformation. Owing to the important role of MDM2 in modulating p53 function, it is crucial to understand the mechanism underlying the regulation of MDM2 levels. We identified ribosomal protein S4X-linked (RPS4X) as a novel binding partner of MDM2 and showed that RPS4X promotes MDM2 stability. RPS4X suppressed polyubiquitination of MDM2 by suppressing homodimer formation and preventing auto-ubiquitination. Moreover, RPS4X inhibited the interaction between MDM2 and Cullin1, a scaffold protein of the Skp1-Cullin1-F-box protein (SCF) complex and an E3 ubiquitin ligase for MDM2. RPS4X expression in cells enhanced the steady-state level of MDM2 protein. RPS4X was associated not only with MDM2 but also with Cullin1 and then blocked the MDM2/Cullin1 interaction. This is the first report of an interaction between ribosomal proteins (RPs) and Cullin1. Our results contribute to the elucidation of the MDM2 stabilization mechanism in cancer cells, expanding our understanding of the new functions of RPs.
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Affiliation(s)
- Satsuki Ryu
- Faculty of Pharmaceutical Science at Kagawa Campus, Tokushima Bunri University, 1314-1 Shido, Sanuki 769-2193, Japan; (S.R.); (H.N.); (T.T.)
| | - Hiroki Nakashima
- Faculty of Pharmaceutical Science at Kagawa Campus, Tokushima Bunri University, 1314-1 Shido, Sanuki 769-2193, Japan; (S.R.); (H.N.); (T.T.)
| | - Yuka Tanaka
- Faculty of Science and Engineering, Tokushima Bunri University, 1314-1 Shido, Sanuki 769-2193, Japan;
| | - Risa Mukai
- Department of Cell Biology and Molecular Medicine, Rutgers New Jersey Medical School, Newark, NJ 07101-1709, USA;
| | - Yasuhiro Ishihara
- Program of Biomedical Science, Graduate School of Integrated Sciences for Life, Hiroshima University, 1-7-1 Kagamiyama, Higashi-Hiroshima 739-8521, Japan;
| | - Takashi Tominaga
- Faculty of Pharmaceutical Science at Kagawa Campus, Tokushima Bunri University, 1314-1 Shido, Sanuki 769-2193, Japan; (S.R.); (H.N.); (T.T.)
| | - Takayuki Ohshima
- Faculty of Pharmaceutical Science at Kagawa Campus, Tokushima Bunri University, 1314-1 Shido, Sanuki 769-2193, Japan; (S.R.); (H.N.); (T.T.)
- Faculty of Science and Engineering, Tokushima Bunri University, 1314-1 Shido, Sanuki 769-2193, Japan;
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Aluksanasuwan S, Somsuan K, Ngoenkam J, Chutipongtanate S, Pongcharoen S. Potential association of HSPD1 with dysregulations in ribosome biogenesis and immune cell infiltration in lung adenocarcinoma: An integrated bioinformatic approach. Cancer Biomark 2024; 39:155-170. [PMID: 37694354 PMCID: PMC11091585 DOI: 10.3233/cbm-220442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 07/03/2023] [Indexed: 09/12/2023]
Abstract
BACKGROUND Lung adenocarcinoma (LUAD) is a major histological subtype of lung cancer with a high mortality rate worldwide. Heat shock protein family D member 1 (HSPD1, also known as HSP60) is reported to be increased in tumor tissues of lung cancer patients compared with healthy control tissues. OBJECTIVE We aimed to investigate the roles of HSPD1 in prognosis, carcinogenesis, and immune infiltration in LUAD using an integrative bioinformatic analysis. METHODS HSPD1 expression in LUAD was investigated in several transcriptome-based and protein databases. Survival analysis was performed using the KM plotter and OSluca databases, while prognostic significance was independently confirmed through univariate and multivariate analyses. Integrative gene interaction network and enrichment analyses of HSPD1-correlated genes were performed to investigate the roles of HSPD1 in LUAD carcinogenesis. TIMER and TISIDB were used to analyze correlation between HSPD1 expression and immune cell infiltration. RESULTS The mRNA and protein expressions of HSPD1 were higher in LUAD compared with normal tissues. High HSPD1 expression was associated with male gender and LUAD with advanced stages. High HSPD1 expression was an independent prognostic factor associated with poor survival in LUAD patients. HSPD1-correlated genes with prognostic impact were mainly involved in aberrant ribosome biogenesis, while LUAD patients with high HSPD1 expression had low tumor infiltrations of activated and immature B cells and CD4+ T cells. CONCLUSIONS HSPD1 may play a role in the regulation of ribosome biogenesis and B cell-mediated immunity in LUAD. It could serve as a predictive biomarker for prognosis and immunotherapy response in LUAD.
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Affiliation(s)
- Siripat Aluksanasuwan
- School of Medicine, Mae Fah Luang University, Chiang Rai, Thailand
- Cancer and Immunology Research Unit (CIRU), Mae Fah Luang University, Chiang Rai, Thailand
| | - Keerakarn Somsuan
- School of Medicine, Mae Fah Luang University, Chiang Rai, Thailand
- Cancer and Immunology Research Unit (CIRU), Mae Fah Luang University, Chiang Rai, Thailand
| | - Jatuporn Ngoenkam
- Department of Microbiology and Parasitology, Faculty of Medical Science, Naresuan University, Phitsanulok, Thailand
| | - Somchai Chutipongtanate
- MILCH and Novel Therapeutics Lab, Division of Epidemiology, Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | - Sutatip Pongcharoen
- Division of Immunology, Department of Medicine, Faculty of Medicine, Naresuan University, Phitsanulok, Thailand
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Li B, Zhang J, Dong H, Feng X, Yu L, Zhu J, Zhang J. Systematic analysis of various RNA transcripts and construction of biological regulatory networks at the post-transcriptional level for chronic obstructive pulmonary disease. J Transl Med 2023; 21:790. [PMID: 37936118 PMCID: PMC10631086 DOI: 10.1186/s12967-023-04674-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 10/29/2023] [Indexed: 11/09/2023] Open
Abstract
BACKGROUND Although chronic inflammation, oxidative stress, airway remodeling, and protease-antiprotease imbalance have been implicated in chronic obstructive pulmonary disease (COPD), the exact pathogenesis is still obscure. Gene transcription and post-transcriptional regulation have been taken into account as key regulators of COPD occurrence and development. Identifying the hub genes and constructing biological regulatory networks at the post-transcriptional level will help extend current knowledge on COPD pathogenesis and develop potential drugs. METHODS All lung tissues from non-smokers (n = 6), smokers without COPD (smokers, n = 7), and smokers with COPD (COPD, n = 7) were collected to detect messenger RNA (mRNA), microRNA (miRNA), circular RNA (circRNA), and long non-coding RNA (lncRNA) expression and identify the hub genes. Biological regulatory networks were constructed at the post-transcriptional level, including the RNA-binding protein (RBP)-hub gene interaction network and the competitive endogenous RNA (ceRNA) network. In addition, we assessed the composition and abundance of immune cells in COPD lung tissue and predicted potential therapeutic drugs for COPD. Finally, the hub genes were confirmed at both the RNA and protein levels. RESULTS Among the 20 participants, a total of 121169 mRNA transcripts, 1871 miRNA transcripts, 4244 circRNA transcripts, and 122130 lncRNA transcripts were detected. There were differences in the expression of 1561 mRNAs, 48 miRNAs, 33 circRNAs, and 545 lncRNAs between smokers and non-smokers, as well as 1289 mRNAs, 69 miRNAs, 32 circRNAs, and 433 lncRNAs between smokers and COPD patients. 18 hub genes were identified in COPD. TGF-β signaling and Wnt/β-catenin signaling may be involved in the development of COPD. Furthermore, the circRNA/lncRNA-miRNA-mRNA ceRNA networks and the RBP-hub gene interaction network were also constructed. Analysis of the immune cell infiltration level revealed that M2 macrophages and activated NK cells were increased in COPD lung tissues. Finally, we identified that the ITK inhibitor and oxybutynin chloride may be effective in treating COPD. CONCLUSIONS We identified several novel hub genes involved in COPD pathogenesis. TGF-β signaling and Wnt/β-catenin signaling were the most dysregulated pathways in COPD patients. Our study constructed post-transcriptional biological regulatory networks and predicted small-molecule drugs for the treatment of COPD, which enhanced the existing understanding of COPD pathogenesis and suggested an innovative direction for the therapeutic intervention of the disease.
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Affiliation(s)
- Beibei Li
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - Jiajun Zhang
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - Hui Dong
- Center of Research Equipment Management, General Hospital of Ningxia Medical University, Yinchuan, 750004, China
| | - Xueyan Feng
- School of Clinical Medicine, Ningxia Medical University, Yinchuan, 750004, China
| | - Liang Yu
- Department of Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, 750004, China
| | - Jinyuan Zhu
- Department of Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, 750004, China
| | - Jin Zhang
- Department of Respiratory and Critical Care Medicine, General Hospital of Ningxia Medical University, 804 Shengli South Street, Xingqing District, Yinchuan, 750004, China.
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Myers BL, Brayer KJ, Paez-Beltran LE, Keith MS, Suzuki H, Newville J, Anderson RH, Lo Y, Mertz CM, Kollipara R, Borromeo MD, Bachoo RM, Johnson JE, Vue TY. Glioblastoma initiation, migration, and cell types are regulated by core bHLH transcription factors ASCL1 and OLIG2. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.30.560206. [PMID: 37873200 PMCID: PMC10592871 DOI: 10.1101/2023.09.30.560206] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/25/2023]
Abstract
Glioblastomas (GBMs) are highly aggressive, infiltrative, and heterogeneous brain tumors driven by complex driver mutations and glioma stem cells (GSCs). The neurodevelopmental transcription factors ASCL1 and OLIG2 are co-expressed in GBMs, but their role in regulating the heterogeneity and hierarchy of GBM tumor cells is unclear. Here, we show that oncogenic driver mutations lead to dysregulation of ASCL1 and OLIG2, which function redundantly to initiate brain tumor formation in a mouse model of GBM. Subsequently, the dynamic levels and reciprocal binding of ASCL1 and OLIG2 to each other and to downstream target genes then determine the cell types and degree of migration of tumor cells. Single-cell RNA sequencing (scRNA-seq) reveals that a high level of ASCL1 is key in defining GSCs by upregulating a collection of ribosomal protein, mitochondrial, neural stem cell (NSC), and cancer metastasis genes - all essential for sustaining the high proliferation, migration, and therapeutic resistance of GSCs.
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Hu F, Chen B, Wang Q, Yang Z, Chu M. Multi-omics data analysis reveals the biological implications of alternative splicing events in lung adenocarcinoma. J Bioinform Comput Biol 2023; 21:2350020. [PMID: 37694487 DOI: 10.1142/s0219720023500208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
Cancer is characterized by the dysregulation of alternative splicing (AS). However, the comprehensive regulatory mechanisms of AS in lung adenocarcinoma (LUAD) are poorly understood. Here, we displayed the AS landscape in LUAD based on the integrated analyses of LUAD's multi-omics data. We identified 13,995 AS events in 6309 genes as differentially expressed alternative splicing events (DEASEs) mainly covering protein-coding genes. These DEASEs were strongly linked to "cancer hallmarks", such as apoptosis, DNA repair, cell cycle, cell proliferation, angiogenesis, immune response, generation of precursor metabolites and energy, p53 signaling pathway and PI3K-AKT signaling pathway. We further built a regulatory network connecting splicing factors (SFs) and DEASEs. In addition, RNA-binding protein (RBP) mutations that can affect DEASEs were investigated to find some potential cancer drivers. Further association analysis demonstrated that DNA methylation levels were highly correlated with DEASEs. In summary, our results can bring new insight into understanding the mechanism of AS and provide novel biomarkers for personalized medicine of LUAD.
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Affiliation(s)
- Fuyan Hu
- Department of Statistics, School of Science, Wuhan University of Technology, 122 Luoshi Road, Wuhan, Hubei 430070, P. R. China
| | - Bifeng Chen
- Department of Biological Science and Technology, School of Chemistry Chemical Engineering and Life Sciences, Wuhan University of Technology Wuhan, Hubei, P. R. China
| | - Qing Wang
- Department of Traditional Chinese Medicine of Wuhan Puren Hospital, Affiliated Hospital of Wuhan University of Science and Technology, 1# Benxi Street, Qingshan District, Wuhan, Hubei, P. R. China
| | - Zhiyuan Yang
- School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, Zhejiang, P. R. China
| | - Man Chu
- The Affiliated Hospital of Shaanxi University of Chinese Medicine, Xianyang, Shaanxi 712046, P. R. China
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Feng X, Dong H, Li B, Yu L, Zhu J, Lou C, Zhang J. Integrative analysis of the expression profiles of whole coding and non-coding RNA transcriptomes and construction of the competing endogenous RNA networks for chronic obstructive pulmonary disease. Front Genet 2023; 14:1050783. [PMID: 36793900 PMCID: PMC9923003 DOI: 10.3389/fgene.2023.1050783] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Accepted: 01/09/2023] [Indexed: 01/31/2023] Open
Abstract
The pathogenesis of Chronic Obstructive Pulmonary Disease (COPD) is implicated in airway inflammation, oxidative stress, protease/anti-protease and emphysema. Abnormally expressed non-coding RNAs (ncRNAs) play a vital role in regulation of COPD occurrence and progression. The regulatory mechanisms of the circRNA/lncRNA-miRNA-mRNA (competing endogenous RNA, ceRNA) networks might facilitate our cognition of RNA interactions in COPD. This study aimed to identified novel RNA transcripts and constructed the potential ceRNA networks of COPD patients. Total transcriptome sequencing of the tissues from patients with COPD (COPD) (n = 7) and non-COPD control subjects (Normal) (n = 6) was performed, and the expression profiles of differentially expressed genes (DEGs), including mRNAs, lncRNAs, circRNAs, and miRNAs, were analyzed. The ceRNA network was established based on the miRcode and miRanda databases. Kyoto Encyclopedia of Genes and Genomes (KEGG), Gene Ontology (GO), Gene Set Enrichment Analysis (GSEA), and Gene set variation analysis (GSVA) were implemented for functional enrichment analysis of DEGs. Finally, CIBERSORTx was extracted to analyze the relevance between hub genes and various immune cells.The Starbase and JASPAR databases were used to construct hub-RNA binding proteins (RBPs) and lncRNA-transcription factor (TF) interaction networks. A total of 1,796 mRNAs, 2,207 lncRNAs, and 11 miRNAs showed differentially expression between the lung tissue samples from the normal and COPD groups. Based on these DEGs, lncRNA/circRNA-miRNA-mRNA ceRNA networks were constructed respectively. In addition, ten hub genes were identified. Among them, RPS11, RPL32, RPL5, and RPL27A were associated with the proliferation, differentiation, and apoptosis of the lung tissue. The biological function revealed that TNF-α via NF-kB and IL6/JAK/STAT3 signaling pathways were involved in COPD. Our research constructed the lncRNA/circRNA-miRNA-mRNA ceRNA networks, filtrated ten hub genes may regulate the TNF-α/NF-κB, IL6/JAK/STAT3 signally pathways, which indirectly elucidated the post-transcriptional regulation mechanism of COPD and lay the foundation for excavating the novel targets of diagnosis and treatment in COPD.
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Affiliation(s)
- Xueyan Feng
- Clinical medical school, Ningxia Medical University, Yinchuan, China
| | - Hui Dong
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Beibei Li
- Clinical medical school, Ningxia Medical University, Yinchuan, China
| | - Liang Yu
- Department of Thoracic Surgery, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Jinyuan Zhu
- Department of Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Caili Lou
- Clinical medical school, Ningxia Medical University, Yinchuan, China
| | - Jin Zhang
- Department of Respiratory and Critical Care Medicine, General Hospital of Ningxia Medical University, Yinchuan, China,*Correspondence: Jin Zhang,
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Zhang Y, Cai Q, Luo Y, Zhang Y, Li H. Integrated top-down and bottom-up proteomics mass spectrometry for the characterization of endogenous ribosomal protein heterogeneity. J Pharm Anal 2023; 13:63-72. [PMID: 36820077 PMCID: PMC9937802 DOI: 10.1016/j.jpha.2022.11.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 11/07/2022] [Accepted: 11/08/2022] [Indexed: 11/16/2022] Open
Abstract
Ribosomes are abundant, large RNA-protein complexes that are the sites of all protein synthesis in cells. Defects in ribosomal proteins (RPs), including proteoforms arising from genetic variations, alternative splicing of RNA transcripts, post-translational modifications and alterations of protein expression level, have been linked to a diverse range of diseases, including cancer and aging. Comprehensive characterization of ribosomal proteoforms is challenging but important for the discovery of potential disease biomarkers or protein targets. In the present work, using E. coli 70S RPs as an example, we first developed a top-down proteomics approach on a Waters Synapt G2 Si mass spectrometry (MS) system, and then applied it to the HeLa 80S ribosome. The results were complemented by a bottom-up approach. In total, 50 out of 55 RPs were identified using the top-down approach. Among these, more than 30 RPs were found to have their N-terminal methionine removed. Additional modifications such as methylation, acetylation, and hydroxylation were also observed, and the modification sites were identified by bottom-up MS. In a HeLa 80S ribosomal sample, we identified 98 ribosomal proteoforms, among which multiple truncated 80S ribosomal proteoforms were observed, the type of information which is often overlooked by bottom-up experiments. Although their relevance to diseases is not yet known, the integration of top-down and bottom-up proteomics approaches paves the way for the discovery of proteoform-specific disease biomarkers or targets.
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Affiliation(s)
- Ying Zhang
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
| | - Qinghua Cai
- Henan Engineering Laboratory for Mammary Bioreactor, School of Life Sciences, Henan University, Kaifeng, Henan, 475004, China
| | - Yuxiang Luo
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
| | - Yu Zhang
- The Shennong Laboratory, Zhengzhou, 450002, China
| | - Huilin Li
- School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
- Guangdong Key Laboratory of Chiral Molecule and Drug Discovery, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China
- Corresponding author. School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, 510006, China.
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Hong P, Wang Q, Chen G. Cholesterol induces inflammation and reduces glucose utilization. Open Med (Wars) 2023; 18:20230701. [PMID: 37197354 PMCID: PMC10183724 DOI: 10.1515/med-2023-0701] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/29/2023] [Accepted: 04/03/2023] [Indexed: 05/19/2023] Open
Abstract
Cholesterol stimulates inflammation and affects the normal function of islet tissues. However, the precise mechanism underlying the effects of cholesterol on islet cells requires clarification. In this study, we explored the role of cholesterol in glucose utilization in pancreatic cells. Beta-TC-6 cells and mice were treated with cholesterol. We used glucose detection kits to identify the glucose content in the cell culture supernatant and mouse serum and an enzyme-linked immunosorbent assay was used to detect insulin levels in the serum. Glucose-6-phosphatase catalytic subunit 2 (G6PC2), 78 kDa glucose-regulated protein (GRP78), 94 kDa glucose-regulated protein (GRP94), nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3), caspase-1 (casp1), and interleukin-1β (IL-1β) expression levels were detected using immunofluorescence, immunohistochemistry, western blotting, and reverse transcription-quantitative polymerase chain reaction. Hematoxylin-eosin staining was used to detect the histological alterations in pancreatic tissues. Cholesterol decreased beta-TC-6 cell glucose utilization; enhanced pancreatic tissue pathological alterations; increased glucose and insulin levels in mouse serum; increased G6PC2, GRP78, GRP94, and NLRP3 expression levels; and elevated casp1 and pro-IL-1β cleavage. Cholesterol can attenuate glucose utilization efficiency in beta-TC-6 cells and mice, which may be related to endoplasmic reticulum stress and inflammation.
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Affiliation(s)
- Pingping Hong
- Department of Endocrinology, Shaoxing Central Hospital, Shaoxing312000, Zhejiang, P.R. China
| | - Qing Wang
- Department of Clinical Laboratory Centre, Shaoxing People’s Hospital, Shaoxing312000, Zhejiang, P.R. China
| | - Guoping Chen
- Department of Endocrinology, Deqing People’s Hospital, No. 120 Yingxi South Road, Wukang Town, Deqing County, Huzhou City313200, Zhejiang, P.R. China
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Jiang ZY, Hong J, Zhang JH, Wang XF, Ma YS, Xiong ZX, Sun HR, Cheng C, Xie BZ, Liu JB, Ouyang YG, Fu D. Treatment with b-AP15 to Inhibit UCHL5 and USP14 Deubiquitinating Activity and Enhance p27 and Cyclin E1 for Tumors with p53 Deficiency. Technol Cancer Res Treat 2022; 21:15330338221119745. [PMID: 35971329 PMCID: PMC9386868 DOI: 10.1177/15330338221119745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: TP53 protein is lost or mutated in about half of all types of human cancers and small molecules to regulate mutant p53 repair, or interrupt ubiquitination degradation of p53 induced by E3-ubiquitin ligase Mdm2 have a potential application in clinical application. Methods: To inhibit the deubiquitinase activity of 19S proteasome and restore the p53 protein level, in this study, we utilized p53 knockout mice to test the anti-cancer effect of a specific USP14 and UCH37 inhibitor b-AP15. Results: Our results show that UCHL5, USP14 and COPS5 are upregulated in p53-related tumors, and higher expression of these genes results in a shorter overall survival in patients with p53 deficiency. Treatment with b-AP15, a UCHL5 and USP14 deubiquitinating activity inhibitor in 19S regulatory subunit, induces tumor regression and prolong the survival period of tumor-loaded mice through down-regulation of COPS5 and its downstream AP-1 and E2F1, and up-regulation of the cell cycle-related proteins p27 and Cyclin E1. Conclusions: Thus, our results suggested that inhibition of UCHL5 and USP14 deubiquitinating activity in 19S proteasome may contribute an extensive approach to preventing tumor progress due to p53 deficiency.
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Affiliation(s)
- Zong-Yuan Jiang
- Affiliated Longhua People's Hospital, 70570Southern Medical University, Shenzhen, China
| | - Jiang Hong
- Navy Military Medical University Affiliated 12520Changhai Hospital, Shanghai, China
| | - Ju-Hua Zhang
- 12478Fudan University, Shanghai, China.,Shanghai Pudong Health Development Research Institute, Shanghai, China.,Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Xiao-Feng Wang
- Zhongshan Hospital, 12478Fudan University, Shanghai, China
| | - Yu-Shui Ma
- Cancer Institute, Nantong Tumor Hospital, Nantong, China.,Cancer Institute, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhang-Xia Xiong
- Affiliated Longhua People's Hospital, 70570Southern Medical University, Shenzhen, China
| | - Hao-Ran Sun
- Affiliated Longhua People's Hospital, 70570Southern Medical University, Shenzhen, China
| | - Cong Cheng
- Affiliated Longhua People's Hospital, 70570Southern Medical University, Shenzhen, China
| | - Bang-Zhu Xie
- Affiliated Longhua People's Hospital, 70570Southern Medical University, Shenzhen, China
| | - Ji-Bin Liu
- Cancer Institute, Nantong Tumor Hospital, Nantong, China
| | - Yang-Gang Ouyang
- Affiliated Longhua People's Hospital, 70570Southern Medical University, Shenzhen, China
| | - Da Fu
- General Surgery, Institute of Pancreatic Diseases, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.,Central Laboratory for Medical Research, 278245Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
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Quantitative proteomic analysis of trachea in fatting pig exposed to ammonia. J Proteomics 2021; 247:104330. [PMID: 34302998 DOI: 10.1016/j.jprot.2021.104330] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/06/2021] [Accepted: 07/14/2021] [Indexed: 02/07/2023]
Abstract
Ammonia (NH3) is considered as the main pollutant in livestock houses and air environment, and its adverse effects on animal and human health have attracted widespread attention. However, trachea proteomics respond to NH3 is lacking, which is crucial to understanding how NH3 induces respiratory damage. In this study, we performed labeled quantitative proteomic (TMT-MS) analysis in the trachea of fatting pigs exposed to NH3 for 30 days. The proteomic results were then validated by Immunohistochemistry (IHC) and Parallel Reaction Monitoring (PRM). The results showed that a total of 126 differentially abundant proteins (DAPs) were identified (fold change <0.83 or > 1.2 and P < 0.05), including 70 differentially up-regulated proteins (DUPs) and 56 differentially down-regulated proteins (DDPs). These proteins were mainly located in intracellular regions and involved in immune response, metabolism and protein synthesis. The results of DAPs (EHHADH, RPL28, SLC25A6, TUBB6, CD14, CTSS, RPS11, RPL19, SLC25A5, RPS8, FABP3, RPL21, RPL34, RPL32, PDIA3, FBP1, HSPH1, SAR1A and SEC24C) verified by IHC and PRM were consistent with the proteomic results. The results of this study provided a basis and a novel insight for understanding the mechanism of NH3-induced tracheal injury. SIGNIFICANCE: Ammonia (NH3) is considered as the main pollutant in livestock houses and air environment, and its adverse effects on animal and human health have attracted widespread attention. However, trachea proteomics respond to NH3 is lacking, which is crucial to understanding how NH3 induces respiratory damage. Therefore, in this study, labeled quantitative proteomics (TMT-MS) was used to detect trachea tissue samples from finishing pigs in NH3 exposure group and control group, and PRM method was used to further verify the highly abundant proteins in NH3 exposure samples, so as to identify new diagnostic markers for NH3 poisoning. The results of this study provided a basis and a novel insight for understanding the molecular pathological mechanism of NH3-induced tracheal injury.
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Ribosome Biogenesis and Cancer: Overview on Ribosomal Proteins. Int J Mol Sci 2021; 22:ijms22115496. [PMID: 34071057 PMCID: PMC8197113 DOI: 10.3390/ijms22115496] [Citation(s) in RCA: 69] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Revised: 05/16/2021] [Accepted: 05/19/2021] [Indexed: 12/11/2022] Open
Abstract
Cytosolic ribosomes (cytoribosomes) are macromolecular ribonucleoprotein complexes that are assembled from ribosomal RNA and ribosomal proteins, which are essential for protein biosynthesis. Mitochondrial ribosomes (mitoribosomes) perform translation of the proteins essential for the oxidative phosphorylation system. The biogenesis of cytoribosomes and mitoribosomes includes ribosomal RNA processing, modification and binding to ribosomal proteins and is assisted by numerous biogenesis factors. This is a major energy-consuming process in the cell and, therefore, is highly coordinated and sensitive to several cellular stressors. In mitochondria, the regulation of mitoribosome biogenesis is essential for cellular respiration, a process linked to cell growth and proliferation. This review briefly overviews the key stages of cytosolic and mitochondrial ribosome biogenesis; summarizes the main steps of ribosome biogenesis alterations occurring during tumorigenesis, highlighting the changes in the expression level of cytosolic ribosomal proteins (CRPs) and mitochondrial ribosomal proteins (MRPs) in different types of tumors; focuses on the currently available information regarding the extra-ribosomal functions of CRPs and MRPs correlated to cancer; and discusses the role of CRPs and MRPs as biomarkers and/or molecular targets in cancer treatment.
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Yin YZ, Yao SH, Li CG, Ma YS, Kang ZJ, Zhang JJ, Jia CY, Hou LK, Qin SS, Fan X, Zhang H, Yang MD, Zhang DD, Lu GX, Wang HM, Gu LP, Tian LL, Wang PY, Cao PS, Wu W, Cao ZY, Lv ZW, Shi BW, Wu CY, Jiang GX, Fu D, Yu F. Systematic analysis using a bioinformatics strategy identifies SFTA1P and LINC00519 as potential prognostic biomarkers for lung squamous cell carcinoma. Am J Transl Res 2021; 13:168-182. [PMID: 33527016 PMCID: PMC7847518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 11/29/2020] [Indexed: 06/12/2023]
Abstract
Lung cancer has high incidence and mortality rates, in which lung squamous cell carcinoma (LUSC) is a primary type of non-small cell lung carcinoma (NSCLC). The aim of our study was to discover long non-coding RNAs (lncRNAs) associated with diagnose and prognosis for LUSC. RNA sequencing data obtained from LUSC samples were extracted from The Cancer Genome Atlas database (TCGA). Two prognosis-associated lncRNAs (including SFTA1P and LINC00519) were selected from LUSC samples, and the expression levels were also verified to be associated abnormal in LUSC clinical samples. Our findings demonstrate that lncRNAs SFTA1P and LINC00519 exert important functions in human LUSC and may serve as new targets for LUSC diagnosis and therapy.
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Affiliation(s)
- Yu-Zhen Yin
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
- Shanghai Clinical College, Anhui Medical UniversityHefei 230032, China
| | - Shi-Hua Yao
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai HospitalShanghai 200433, China
| | - Chun-Guang Li
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai HospitalShanghai 200433, China
| | - Yu-Shui Ma
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
- Pancreatic Cancer Institute, Fudan UniversityShanghai 200032, China
- Department of Pancreatic and Hepatobiliary Surgery, Cancer Hospital, Fudan University Shanghai Cancer CenterShanghai 200032, China
| | - Zhou-Jun Kang
- Department of Emergency, Navy Military Medical University Affiliated Changhai HospitalShanghai 200433, China
| | - Jia-Jia Zhang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Cheng-You Jia
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Li-Kun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of MedicineShanghai 200433, China
| | - Shan-Shan Qin
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Xin Fan
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Han Zhang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Meng-Die Yang
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Dan-Dan Zhang
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Gai-Xia Lu
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Hui-Min Wang
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Li-Peng Gu
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Lin-Lin Tian
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Pei-Yao Wang
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Ping-Sheng Cao
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Wei Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of MedicineShanghai 200433, China
| | - Zi-Yang Cao
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of MedicineShanghai 200433, China
| | - Zhong-Wei Lv
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Bo-Wen Shi
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai HospitalShanghai 200433, China
| | - Chun-Yan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of MedicineShanghai 200433, China
| | - Geng-Xi Jiang
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai HospitalShanghai 200433, China
| | - Da Fu
- Central Laboratory for Medical Research, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
| | - Fei Yu
- Department of Nuclear Medicine, Shanghai Tenth People’s Hospital, Tongji University School of MedicineShanghai 200072, China
- Shanghai Clinical College, Anhui Medical UniversityHefei 230032, China
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Zhang JJ, Hong J, Ma YS, Shi Y, Zhang DD, Yang XL, Jia CY, Yin YZ, Jiang GX, Fu D, Yu F. Identified GNGT1 and NMU as Combined Diagnosis Biomarker of Non-Small-Cell Lung Cancer Utilizing Bioinformatics and Logistic Regression. DISEASE MARKERS 2021; 2021:6696198. [PMID: 33505535 PMCID: PMC7806402 DOI: 10.1155/2021/6696198] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 12/01/2020] [Accepted: 12/18/2020] [Indexed: 12/11/2022]
Abstract
Non-small-cell lung cancer (NSCLC) is one of the most devastating diseases worldwide. The study is aimed at identifying reliable prognostic biomarkers and to improve understanding of cancer initiation and progression mechanisms. RNA-Seq data were downloaded from The Cancer Genome Atlas (TCGA) database. Subsequently, comprehensive bioinformatics analysis incorporating gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the protein-protein interaction (PPI) network was conducted to identify differentially expressed genes (DEGs) closely associated with NSCLC. Eight hub genes were screened out using Molecular Complex Detection (MCODE) and cytoHubba. The prognostic and diagnostic values of the hub genes were further confirmed by survival analysis and receiver operating characteristic (ROC) curve analysis. Hub genes were validated by other datasets, such as the Oncomine, Human Protein Atlas, and cBioPortal databases. Ultimately, logistic regression analysis was conducted to evaluate the diagnostic potential of the two identified biomarkers. Screening removed 1,411 DEGs, including 1,362 upregulated and 49 downregulated genes. Pathway enrichment analysis of the DEGs examined the Ras signaling pathway, alcoholism, and other factors. Ultimately, eight prioritized genes (GNGT1, GNG4, NMU, GCG, TAC1, GAST, GCGR1, and NPSR1) were identified as hub genes. High hub gene expression was significantly associated with worse overall survival in patients with NSCLC. The ROC curves showed that these hub genes had diagnostic value. The mRNA expressions of GNGT1 and NMU were low in the Oncomine database. Their protein expressions and genetic alterations were also revealed. Finally, logistic regression analysis indicated that combining the two biomarkers substantially improved the ability to discriminate NSCLC. GNGT1 and NMU identified in the current study may empower further discovery of the molecular mechanisms underlying NSCLC's initiation and progression.
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Affiliation(s)
- Jia-Jia Zhang
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Jiang Hong
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai Hospital, Shanghai 200433, China
| | - Yu-Shui Ma
- Department of Pancreatic and Hepatobiliary Surgery, Cancer Hospital, Fudan University Shanghai Cancer Center, Shanghai 200032, China
- Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yi Shi
- Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Dan-Dan Zhang
- Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Xiao-Li Yang
- Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Cheng-You Jia
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Yu-Zhen Yin
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Geng-Xi Jiang
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai Hospital, Shanghai 200433, China
| | - Da Fu
- Central Laboratory for Medical Research, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Fei Yu
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
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Liang Z, Zhong Y, Meng L, Chen Y, Liu Y, Wu A, Li X, Wang M. HAX1 enhances the survival and metastasis of non-small cell lung cancer through the AKT/mTOR and MDM2/p53 signaling pathway. Thorac Cancer 2020; 11:3155-3167. [PMID: 32926529 PMCID: PMC7606027 DOI: 10.1111/1759-7714.13634] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2020] [Revised: 08/04/2020] [Accepted: 08/06/2020] [Indexed: 12/24/2022] Open
Abstract
Background HS‐1‐associated protein‐1 (HAX1) has been reported to be overexpressed in non‐small cell lung cancer (NSCLC) tissues. However, the underlying mechanism of HAX1 in NSCLC has not previously been demonstrated. The present study investigated the role and underlying mechanism of HAX1 in NSCLC. Methods The HAX1 expression were confirmed in NSCLC tissues through TCGA database and qRT‐PCR. Moreover, we performed qRT‐PCR, Western blotting, Transwell assays, TUNEL assays and so on to evaluate the role of HAX1 in A549 and H1299 cell lines. Results mRNA expression of HAX1 was overexpressed in NSCLC tissues compared to adjacent normal tissues according to The Cancer Genome Atlas (TCGA) database. QRT‐PCR assays showed that HAX1 mRNA expression was upregulated in NSCLC tissues. The high HAX1 mRNA levels were found to be positively associated with tumor size, TNM stage and lymphatic metastasis. Silencing of HAX1 promoted apoptosis and reduced invasion of A549 and H1299 cells by inhibiting the AKT/mTOR and MDM2/P53 signal pathway. AKT agonist SC79 could inhibit apoptosis and promote proliferation, migration and invasion of A549 and H1299 cells transfected with si‐HAX1. Conclusions The present study provided a better understanding of HAX1 mechanism in NSCLC and potential therapeutic target for NSCLC.
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Affiliation(s)
- Zhigang Liang
- Department of Thoracic Surgery, Ningbo First Hospital, Ningbo, China
| | - Yuan Zhong
- Department of Cardiothoracic Surgery, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Lifei Meng
- Department of Thoracic Surgery, Ningbo First Hospital, Ningbo, China
| | - Yi Chen
- Department of Thoracic Surgery, Ningbo First Hospital, Ningbo, China
| | - Yahui Liu
- Department of Thoracic Surgery, Ningbo First Hospital, Ningbo, China
| | - Aihua Wu
- Department of Clinical Laboratory, Ningbo First Hospital, Ningbo, China
| | - Xinjian Li
- Department of Thoracic Surgery, Ningbo First Hospital, Ningbo, China
| | - Mingsong Wang
- Department of Thoracic Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
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