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Zheng J, Huang B, Xiao L, Wu M. Effects of BRD4 inhibitor JQ1 on the expression profile of super-enhancer related lncRNAs and mRNAs in cervical cancer HeLa cells. PeerJ 2024; 12:e17035. [PMID: 38410799 PMCID: PMC10896078 DOI: 10.7717/peerj.17035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 02/09/2024] [Indexed: 02/28/2024] Open
Abstract
Objective To investigate the effects of bromine domain protein 4 (BRD4) inhibitor JQ1 on the expression profile of super-enhancer-related lncRNAs (SE-lncRNAs) and mRNAs in cervical cancer (CC) HeLa-cells. Methods The CCK8 method was implemented to detect the inhibitory effect of JQ1 on HeLa cells and explore the best inhibitory concentration. Whole transcriptome sequencing was performed to detect the changes of lncRNAs and mRNAs expression profiles in cells of the JQ1 treatment group and control group, respectively. The differentially expressed SE-lncRNAs were obtained by matching, while the co-expressed mRNAs were obtained by Pearson correlation analysis. Results The inhibitory effect of JQ1 on HeLa cell proliferation increased significantly with increasing concentration and treatment time (P < 0.05). Under the experimental conditions of three concentrations of 0.01, 0.1 and 1 μmol/L of JQ1 on HeLa cells at 24, 48, 72 and 120 h, 1 μmol/L of JQ1 at 72 and 120 h had the same cell viability and the strongest cell proliferation inhibition. In order to understand the inhibitory mechanism of JQ1 on HeLa cells, this study analyzed the expression profile differences from the perspective of SE-lncRNAs and mRNAs. A total of 162 SE-lncRNAs were identified, of which 8 SE-lncRNAs were down-regulated and seven SE-lncRNAs were up-regulated. A total of 418 differentially expressed mRNAs related to SE-lncRNAs were identified, of which 395 mRNAs had positive correlation with 12 SE-lncRNAs and 408 mRNAs had negative correlation with 15 SE-lncRNAs. Conclusion JQ1 can significantly inhibit the proliferation of HeLa cells and affect the expression profile of SE-lncRNAs and mRNAs.
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Affiliation(s)
- Jianqing Zheng
- Department of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Bifen Huang
- Department of Obstetrics and Gynecology, Quanzhou Medical College People's Hospital Affiliated, Quanzhou, Fujian, China
| | - Lihua Xiao
- Department of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
| | - Min Wu
- Department of Radiation Oncology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, China
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Chen H, Wang Y, Shao C, Guo K, Liu G, Wang Z, Duan H, Pan M, Ding P, Zhang Y, Han J, Yan X. Molecular subgroup establishment and signature creation of lncRNAs associated with acetylation in lung adenocarcinoma. Aging (Albany NY) 2024; 16:1276-1297. [PMID: 38240708 PMCID: PMC10866443 DOI: 10.18632/aging.205407] [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: 09/08/2023] [Accepted: 11/13/2023] [Indexed: 02/06/2024]
Abstract
BACKGROUND The significance of long non-coding RNAs (lncRNAs) as pivotal mediators of histone acetylation and their influential role in predicting the prognosis of lung adenocarcinoma (LUAD) has been increasingly recognized. However, there remains uncertainty regarding the potential utility of acetylation-related lncRNAs (ARLs) in prognosticating the overall survival (OS) of LUAD specimens. METHODS The RNA-Seq and clinical information were downloaded from The Cancer Genome Atlas (TCGA). Through the differential analysis, weighted correlation network analysis (WGCNA), Pearson correlation test and univariate Cox regression, we found out the prognosis associated ARLs and divided LUAD specimens into two molecular subclasses. The ARLs were employed to construct a unique signature through the implementation of the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm. Subsequently, the predictive performance was evaluated using ROC analysis and Kaplan-Meier survival curve analysis. Finally, ARL expression in LUAD was confirmed by quantitative real-time PCR (qRT-PCR). RESULTS We triumphantly built a ARLs prognostic model with excellent predictive accuracy for LUAD. Univariate and multivariate Cox analysis illustrated that risk model served as an independent predictor for influencing the overall survival OS of LUAD. Furthermore, a nomogram exhibited strong prognostic validity. Additionally, variations were observed among subgroups in the field of immunity, biological functions, drug sensitivity and gene mutations within the field. CONCLUSIONS Nine ARLs were identified as promising indicators of personalized prognosis and drug selection for people suffering with LUAD.
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Affiliation(s)
- Hao Chen
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Yuanyong Wang
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Changjian Shao
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Kai Guo
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Guanglin Liu
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Zhaoyang Wang
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Hongtao Duan
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Minghong Pan
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Peng Ding
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Yimeng Zhang
- Department of Ophthalmology, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Jing Han
- Department of Ophthalmology, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
| | - Xiaolong Yan
- Department of Thoracic Surgery, Tangdu Hospital of Air Force Military Medical University, Xi’an 71003, China
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Kazmi I, Altamimi ASA, Afzal M, Majami AA, Abbasi FA, Almalki WH, Alzera SI, Kukreti N, Fuloria NK, Fuloria S, Sekar M, Abida. Non-coding RNAs: Emerging biomarkers and therapeutic targets in ulcerative colitis. Pathol Res Pract 2024; 253:155037. [PMID: 38160482 DOI: 10.1016/j.prp.2023.155037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 12/10/2023] [Accepted: 12/11/2023] [Indexed: 01/03/2024]
Abstract
Ulcerative colitis (UC) is a persistent inflammatory condition affecting the colon's mucosal lining, leading to chronic bowel inflammation. Despite extensive research, the precise molecular mechanisms underlying UC pathogenesis remain elusive. NcRNAs form a category of functional RNA molecules devoid of protein-coding capacity. They have recently surfaced as pivotal modulators of gene expression and integral participants in various pathological processes, particularly those related to inflammatory disorders. The diverse classes of ncRNAs, encompassing miRNAs, circRNAs, and lncRNAs, have been implicated in UC. It highlights their involvement in key UC-related processes, such as immune cell activation, epithelial barrier integrity, and the production of pro-inflammatory mediators. ncRNAs have been identified as potential biomarkers for UC diagnosis and monitoring disease progression, offering promising avenues for personalized medicine. This approach may pave the way for novel, more specific treatments with reduced side effects, addressing the current limitations of conventional therapies. A comprehensive understanding of the interplay between ncRNAs and UC will advance our knowledge of the disease, potentially leading to more effective and personalized treatments for patients suffering from this debilitating condition. This review explores the pivotal role of ncRNAs in the context of UC, shedding light on their possible targets for diagnosis, prognosis, and therapeutic interventions.
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Affiliation(s)
- Imran Kazmi
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | | | - Muhammad Afzal
- Department of Pharmaceutical Sciences, Pharmacy Program, Batterjee Medical College, P.O. Box 6231, Jeddah 21442, Saudi Arabia
| | - Abdullah A Majami
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Fahad Al Abbasi
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Waleed Hassan Almalki
- Department of Pharmacology, College of Pharmacy, Umm Al-Qura University, Makkah, Saudi Arabia
| | - Sami I Alzera
- Department of Pharmacology, College of Pharmacy, Jouf University, Sakaka 72341, Al-Jouf, Saudi Arabia
| | - Neelima Kukreti
- School of Pharmacy, Graphic Era Hill University, Dehradun 248007, India
| | | | - Shivkanya Fuloria
- Faculty of Pharmacy, AIMST University, Bedong 08100, Kedah, Malaysia
| | - Mahendran Sekar
- School of Pharmacy, Monash University Malaysia, Bandar Sunway, Subang Jaya 47500, Selangor, Malaysia
| | - Abida
- Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
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Chen Y, Pan Y, Gao H, Yi Y, Qin S, Ma F, Zhou X, Guan M. Mechanistic insights into super-enhancer-driven genes as prognostic signatures in patients with glioblastoma. J Cancer Res Clin Oncol 2023; 149:12315-12332. [PMID: 37432454 DOI: 10.1007/s00432-023-05121-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 07/04/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Glioblastoma (GBM) is one of the most common malignant brain tumors in adults and is characterized by high aggressiveness and rapid progression, poor treatment, high recurrence rate, and poor prognosis. Although super-enhancer (SE)-driven genes haven been recognized as prognostic markers for several cancers, whether it can be served as effective prognostic markers for patients with GBM has not been evaluated. METHODS We first combined histone modification data with transcriptome data to identify SE-driven genes associated with prognosis in patients with GBM. Second, we developed a SE-driven differentially expressed genes (SEDEGs) risk score prognostic model by univariate Cox analysis, KM survival analysis, multivariate Cox analysis and least absolute shrinkage and selection operator (LASSO) regression. Its reliability in predicting was verified by two external data sets. Third, through mutation analysis, immune infiltration, we explored the molecular mechanisms of prognostic genes. Next, Genomics of Drug Sensitivity in Cancer (GDSC) and the Connectivity Map (cMap) database were employed to assess different sensitivities to chemotherapeutic agents and small-molecule drug candidates between high- and low-risk patients. Finally, SEanalysis database was chosen to identify SE-driven transcription factors (TFs) regulating prognostic markers which will reveal a potential SE-driven transcriptional regulatory network. RESULTS First, we developed a 11-gene risk score prognostic model (NCF2, MTHFS, DUSP6, G6PC3, HOXB2, EN2, DLEU1, LBH, ZEB1-AS1, LINC01265, and AGAP2-AS1) selected from 1,154 SEDEGs, which is not only an independent prognostic factor for patients, but also can effectively predict the survival rate of patients. The model can effectively predict 1-, 2- and 3-year survival of patients and was validated in external Chinese Glioma Genome Atlas (CGGA) and Gene Expression Omnibus (GEO) datasets. Second, the risk score was positively correlated with the infiltration of regulatory T cell, CD4 memory activated T cell, activated NK cell, neutrophil, resting mast cell, M0 macrophage, and memory B cell. Third, we found that high-risk patients showed higher sensitivity than low-risk patients to both 27 chemotherapeutic agents and 4 small-molecule drug candidates which might benefit further precision therapy for GBM patients. Finally, 13 potential SE-driven TFs imply how SE regulates GBM patient's prognosis. CONCLUSION The SEDEG risk model not only helps to elucidate the impact of SEs on the course of GBM, but also provides a bright future for prognosis determination and choice of treatment for GBM patients.
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Affiliation(s)
- Youran Chen
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China
| | - Yi Pan
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China
| | - Hanyu Gao
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China
| | - Yunmeng Yi
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China
| | - Shijie Qin
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China
| | - Fei Ma
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China
| | - Xue Zhou
- School of Chemistry and Biological Engineering, Nanjing Normal University Taizhou College, Taizhou, 225300, China.
| | - Miao Guan
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, 1 Wenyuan Rd., Nanjing, 210023, Jiangsu, China.
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More DA, Ghotekar GS, Muthukrishnan M. BF 3 ⋅Et 2 O-Catalyzed Selective C-4 Alkylation of Isoquinolin-1(2H)-ones Employing p-Quinone Methides. Chem Asian J 2023; 18:e202300546. [PMID: 37449661 DOI: 10.1002/asia.202300546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 07/12/2023] [Accepted: 07/13/2023] [Indexed: 07/18/2023]
Abstract
The direct C-4 alkylation of isoquinolin-1(2H)-one moiety is a challenging transformation in organic synthesis. Here we present a practical and efficient synthesis of C-4 alkylated isoquinolin-1(2H)-ones through conjugate addition of isoquinolin-1(2H)-ones to p-quinone methides for the first time. The process is facilitated by Lewis acid catalysis and this operationally straightforward, mild, metal-free and one-pot transformation provides a wide range of C-4 alkylated isoquinolin-1(2H)-ones at ambient temperature in good to excellent yields.
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Affiliation(s)
- Devidas A More
- Division of Organic Chemistry, CSIR-National Chemical Laboratory, Pune, 411 008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - Ganesh S Ghotekar
- Division of Organic Chemistry, CSIR-National Chemical Laboratory, Pune, 411 008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
| | - M Muthukrishnan
- Division of Organic Chemistry, CSIR-National Chemical Laboratory, Pune, 411 008, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India
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