1
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Yu J, Zhang Y, Xue Y, Pei H, Li B. Emerging roles of long noncoding RNAs in enzymes related intracellular metabolic pathways in cancer biology. Biomed Pharmacother 2024; 176:116831. [PMID: 38824835 DOI: 10.1016/j.biopha.2024.116831] [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: 02/03/2024] [Revised: 05/13/2024] [Accepted: 05/26/2024] [Indexed: 06/04/2024] Open
Abstract
Metabolic reprogramming plays critical roles in the development and progression of tumor by providing cancer cells with a sufficient supply of nutrients and other factors needed for fast-proliferating. Emerging evidence indicates that long noncoding RNAs (lncRNAs) are involved in the initiation of metastasis via regulating the metabolic reprogramming in various cancers. In this paper, we aim to summarize that lncRNAs could participate in intracellular nutrient metabolism including glucose, amino acid, lipid, and nucleotide, regardless of whether lncRNAs have tumor-promoting or tumor-suppressor function. Meanwhile, modulation of lncRNAs in glucose metabolic enzymes in glycolysis, pentose phosphate pathway and tricarboxylic acid cycle (TCA) in cancer is reviewed. We also discuss therapeutic strategies targeted at interfering with enzyme activity to decrease the utilization of glucoses, amino acid, nucleotide acid and lipid in tumor cells. This review focuses on our current understanding of lncRNAs participating in cancer cell metabolic reprogramming, paving the way for further investigation into the combination of such approaches with existing anti-cancer therapies.
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Affiliation(s)
- Jing Yu
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou 215123, China; Department of clinical laboratory Center, the First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Yue Zhang
- School of Clinical Medicine, Medical College of Soochow University, Suzhou 215123, China
| | - Yaqi Xue
- Department of Clinical Nutrition, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Hailong Pei
- State Key Laboratory of Radiation Medicine and Protection, School of Radiation Medicine and Protection, Collaborative Innovation Centre of Radiological Medicine of Jiangsu Higher Education Institutions, Soochow University, Suzhou 215123, China.
| | - Bingyan Li
- Department of Nutrition and Food Hygiene, School of Public Health, Medical College of Soochow University, Suzhou 215123, China.
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2
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Zhou H, Yuan L, Ju Y, Hu Y, Wang S, Cao R, Wang Z, Zhang G. IDeAS: an interactive database for dysregulated alternative splicing in cancers across Chinese and western patients. J Mol Cell Biol 2024; 15:mjad074. [PMID: 38012117 PMCID: PMC11004917 DOI: 10.1093/jmcb/mjad074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 10/01/2023] [Accepted: 11/24/2023] [Indexed: 11/29/2023] Open
Affiliation(s)
- Hanwen Zhou
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 101408, China
| | - Liyun Yuan
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yuanhu Ju
- Shanghai Southgene Technology Co., Ltd, Shanghai 201210, China
| | - Yue Hu
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 101408, China
| | - Siqi Wang
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 101408, China
| | - Ruifang Cao
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zefeng Wang
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 101408, China
- Department of Biology, Southern University of Science and Technology (SUSTech), Shenzhen 518055, China
| | - Guoqing Zhang
- National Genomics Data Center & Bio-Med Big Data Center, CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
- University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing 101408, China
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3
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Zhang G, Song C, Fan S, Yin M, Wang X, Zhang Y, Huang X, Li Y, Shang D, Li C, Wang Q. LncSEA 2.0: an updated platform for long non-coding RNA related sets and enrichment analysis. Nucleic Acids Res 2024; 52:D919-D928. [PMID: 37986229 PMCID: PMC10767924 DOI: 10.1093/nar/gkad1008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 10/12/2023] [Accepted: 10/19/2023] [Indexed: 11/22/2023] Open
Abstract
Long non-coding RNAs (lncRNAs) possess a wide range of biological functions, and research has demonstrated their significance in regulating major biological processes such as development, differentiation, and immune response. The accelerating accumulation of lncRNA research has greatly expanded our understanding of lncRNA functions. Here, we introduce LncSEA 2.0 (http://bio.liclab.net/LncSEA/index.php), aiming to provide a more comprehensive set of functional lncRNAs and enhanced enrichment analysis capabilities. Compared with LncSEA 1.0, we have made the following improvements: (i) We updated the lncRNA sets for 11 categories and extremely expanded the lncRNA scopes for each set. (ii) We newly introduced 15 functional lncRNA categories from multiple resources. This update not only included a significant amount of downstream regulatory data for lncRNAs, but also covered numerous epigenetic regulatory data sets, including lncRNA-related transcription co-factor binding, chromatin regulator binding, and chromatin interaction data. (iii) We incorporated two new lncRNA set enrichment analysis functions based on GSEA and GSVA. (iv) We adopted the snakemake analysis pipeline to track data processing and analysis. In summary, LncSEA 2.0 offers a more comprehensive collection of lncRNA sets and a greater variety of enrichment analysis modules, assisting researchers in a more comprehensive study of the functional mechanisms of lncRNAs.
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Affiliation(s)
- Guorui Zhang
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Chao Song
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Shifan Fan
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
| | - Mingxue Yin
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Xinyue Wang
- School of Medical Informatics, Daqing Campus, Harbin Medical University. Daqing, 163319, China
| | - Yuexin Zhang
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Xuemei Huang
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
| | - Ye Li
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
| | - Desi Shang
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
| | - Chunquan Li
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
- MOE Key Lab of Rare Pediatric Diseases, University of South China, Hengyang, Hunan 421001, China
| | - Qiuyu Wang
- The First Affiliated Hospital & National Health Commission Key Laboratory of Birth Defect Research and Prevention, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Hunan Provincial Key Laboratory of Multi-omics And Artificial Intelligence of Cardiovascular Diseases, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Cardiovascular Lab of Big Data and Imaging Artificial Intelligence, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- Department of Cell Biology and Genetics, School of Basic Medical Sciences, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- School of Computer, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China
- The First Affiliated Hospital, Department of Cardiology, Hengyang Medical School, University of South China, Hengyang, China
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4
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Chen Y, Kuang Y, Luan S, Yang Y, Ying Z, Li C, Gao J, Yuan Y, Yu H. DASES: a database of alternative splicing for esophageal squamous cell carcinoma. Front Genet 2023; 14:1237167. [PMID: 38028612 PMCID: PMC10667693 DOI: 10.3389/fgene.2023.1237167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
Esophageal carcinoma ranks as the sixth leading cause of cancer-related mortality globally, with esophageal squamous cell carcinoma (ESCC) being particularly prevalent among Asian populations. Alternative splicing (AS) plays a pivotal role in ESCC development and progression by generating diverse transcript isoforms. However, the current landscape lacks a specialized database focusing on alternative splicing events (ASEs) derived from a large number of ESCC cases. Additionally, most existing AS databases overlook the contribution of long non-coding RNAs (lncRNAs) in ESCC molecular mechanisms, predominantly focusing on mRNA-based ASE identification. To address these limitations, we deployed DASES (http://www.hxdsjzx.cn/DASES). Employing a combination of publicly available and in-house ESCC RNA-seq datasets, our extensive analysis of 346 samples, with 93% being paired tumor and adjacent non-tumor tissues, led to the identification of 257 novel lncRNAs in esophageal squamous cell carcinoma. Leveraging a paired comparison of tumor and adjacent normal tissues, DASES identified 59,094 ASEs that may be associated with ESCC. DASES fills a critical gap by providing comprehensive insights into ASEs in ESCC, encompassing lncRNAs and mRNA, thus facilitating a deeper understanding of ESCC molecular mechanisms and serving as a valuable resource for ESCC research communities.
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Affiliation(s)
- Yilong Chen
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yalan Kuang
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Siyuan Luan
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yongsan Yang
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Zhiye Ying
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Chunyang Li
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jinhang Gao
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, China
- Laboratory of Gastroenterology and Hepatology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yong Yuan
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
| | - Haopeng Yu
- Department of Thoracic Surgery and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
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5
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Goldtzvik Y, Sen N, Lam SD, Orengo C. Protein diversification through post-translational modifications, alternative splicing, and gene duplication. Curr Opin Struct Biol 2023; 81:102640. [PMID: 37354790 DOI: 10.1016/j.sbi.2023.102640] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 05/05/2023] [Accepted: 05/24/2023] [Indexed: 06/26/2023]
Abstract
Proteins provide the basis for cellular function. Having multiple versions of the same protein within a single organism provides a way of regulating its activity or developing novel functions. Post-translational modifications of proteins, by means of adding/removing chemical groups to amino acids, allow for a well-regulated and controlled way of generating functionally distinct protein species. Alternative splicing is another method with which organisms possibly generate new isoforms. Additionally, gene duplication events throughout evolution generate multiple paralogs of the same genes, resulting in multiple versions of the same protein within an organism. In this review, we discuss recent advancements in the study of these three methods of protein diversification and provide illustrative examples of how they affect protein structure and function.
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Affiliation(s)
- Yonathan Goldtzvik
- Department of Structural and Molecular Biology, University College London, London, United Kingdom
| | - Neeladri Sen
- Department of Structural and Molecular Biology, University College London, London, United Kingdom. https://twitter.com/@NeeladriSen
| | - Su Datt Lam
- Department of Structural and Molecular Biology, University College London, London, United Kingdom; Department of Applied Physics, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia
| | - Christine Orengo
- Department of Structural and Molecular Biology, University College London, London, United Kingdom.
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Liu B, Song A, Gui P, Wang J, Pan Y, Li C, Li S, Zhang Y, Jiang T, Xu Y, Pei D, Song J. Long noncoding RNA LINC01594 inhibits the CELF6-mediated splicing of oncogenic CD44 variants to promote colorectal cancer metastasis. Cell Death Dis 2023; 14:427. [PMID: 37452042 PMCID: PMC10349055 DOI: 10.1038/s41419-023-05924-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 06/16/2023] [Accepted: 06/23/2023] [Indexed: 07/18/2023]
Abstract
Long noncoding RNAs (lncRNAs) play critical roles in tumorigenesis and tumor metastasis. However, the underlying mechanisms of lncRNAs in colorectal cancer (CRC) need further exploration. By using data from The Cancer Genome Atlas (TCGA) and GEO databases, we identified a novel CRC-related lncRNA, LINC01594, that is significantly upregulated in CRC and associated with poor prognosis. In vitro and in vivo, gain- and loss-of-function experiments demonstrated that LINC01594 promotes metastasis in CRC. LINC01594 functions as a DNMT1 scaffold, increasing the level of CELF6 promoter methylation. LINC01594 also competitively binds the transcription factor p53, decreasing CELF6 expression. This inhibited the exon skipping of CD44 V4-V7 induced by CELF6. In summary, this study highlights a novel CRC biomarker and therapeutic target, LINC01594, and the findings suggest that the LINC01594-CELF6-CD44 axis might serve as a biomarker and therapeutic target in CRC.
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Affiliation(s)
- Bowen Liu
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Angxi Song
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Pengkun Gui
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Jin Wang
- Department of Pathology, Xuzhou Medical University. No. 209, Tongshan Road, Yunlong District, Xuzhou, 221004, China
| | - Yaojie Pan
- Department of Medical Oncology, Zhejiang Provincial People's Hospital. No. 158, Shangtang Road, Xiacheng District, Zhejiang, 310000, China
| | - Chao Li
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Shuai Li
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Yi Zhang
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Tao Jiang
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Yixin Xu
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China
| | - Dongsheng Pei
- Department of Pathology, Xuzhou Medical University. No. 209, Tongshan Road, Yunlong District, Xuzhou, 221004, China.
| | - Jun Song
- Department of General Surgery, The Affiliated Hospital of Xuzhou Medical University. No. 99, Huaihai West Road, Quanshan District, Xuzhou, 221006, China.
- Institute of Digestive Diseases, Xuzhou Medical University. No. 84, Huaihai West Road, Quanshan District, Xuzhou, 221002, China.
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7
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Wu S, Huang Y, Zhang M, Gong Z, Wang G, Zheng X, Zong W, Zhao W, Xing P, Li R, Liu Z, Bao Y. ASCancer Atlas: a comprehensive knowledgebase of alternative splicing in human cancers. Nucleic Acids Res 2022; 51:D1196-D1204. [PMID: 36318242 PMCID: PMC9825479 DOI: 10.1093/nar/gkac955] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 09/29/2022] [Accepted: 10/13/2022] [Indexed: 11/05/2022] Open
Abstract
Alternative splicing (AS) is a fundamental process that governs almost all aspects of cellular functions, and dysregulation in this process has been implicated in tumor initiation, progression and treatment resistance. With accumulating studies of carcinogenic mis-splicing in cancers, there is an urgent demand to integrate cancer-associated splicing changes to better understand their internal cross-talks and functional consequences from a global view. However, a resource of key functional AS events in human cancers is still lacking. To fill the gap, we developed ASCancer Atlas (https://ngdc.cncb.ac.cn/ascancer), a comprehensive knowledgebase of aberrant splicing in human cancers. Compared to extant databases, ASCancer Atlas features a high-confidence collection of 2006 cancer-associated splicing events experimentally proved to promote tumorigenesis, a systematic splicing regulatory network, and a suit of multi-scale online analysis tools. For each event, we manually curated the functional axis including upstream splicing regulators, splicing event annotations, downstream oncogenic effects, and possible therapeutic strategies. ASCancer Atlas also houses about 2 million computationally putative splicing events. Additionally, a user-friendly web interface was built to enable users to easily browse, search, visualize, analyze, and download all splicing events. Overall, ASCancer Atlas provides a unique resource to study the functional roles of splicing dysregulation in human cancers.
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Affiliation(s)
| | | | - Mochen Zhang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zheng Gong
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Guoliang Wang
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xinchang Zheng
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Wenting Zong
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Zhao
- National Genomics Data Center & CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Peiqi Xing
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China
| | - Rujiao Li
- Correspondence may also be addressed to Rujiao Li. Tel: +86 10 84097638;
| | - Zhaoqi Liu
- Correspondence may also be addressed to Zhaoqi Liu. Tel: +86 10 84097398;
| | - Yiming Bao
- To whom correspondence should be addressed. Tel: +86 10 84097858; Fax: +86 10 84097720;
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8
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Long non-coding RNAs are involved in alternative splicing and promote cancer progression. Br J Cancer 2022; 126:1113-1124. [PMID: 34750493 PMCID: PMC9023592 DOI: 10.1038/s41416-021-01600-w] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 09/14/2021] [Accepted: 10/11/2021] [Indexed: 12/17/2022] Open
Abstract
Alternative splicing (AS) is a key process in which precursor RNAs produce different mature RNAs, and the disorder of AS is a key factor in promoting cancer development. Compared with coding RNA, studies on the functions of long non-coding RNAs (lncRNAs) are far from enough. In fact, lncRNA is an important participant and regulator in the process of AS. On the one hand, lncRNAs regulate cancer progression as AS products of precursor messenger RNA (mRNA), but on the other hand, precursor lncRNA generates cancer-related abnormal splicing variants through AS. In addition, lncRNAs directly or indirectly regulate the AS events of downstream target genes, thus affecting the occurrence and development of cancer. Here, we reviewed how lncRNAs regulate AS and influence oncogenesis in different ways.
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Wei P, Jiang J, Xiao M, Zeng M, Liu X, Zhao B, Chen F. The transcript ENST00000444125 of lncRNA LINC01503 promotes cancer stem cell properties of glioblastoma cells via reducing FBXW1 mediated GLI2 degradation. Exp Cell Res 2022; 412:113009. [PMID: 34990616 DOI: 10.1016/j.yexcr.2022.113009] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 12/22/2021] [Accepted: 01/02/2022] [Indexed: 11/04/2022]
Abstract
LINC010503 is a novel oncogenic lncRNA in multiple cancers. In this study, we further explored the expression of LINC010503 transcripts and their regulations on the glioblastoma (GBM) stem cell (GSC) properties. LINC01503 transcription patterns in GBM and normal brain tissues were compared using RNA-seq data from Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA)-GBM. GBM cell lines (U251 and U87) were used as in vitro cell models for cellular and molecular studies. The results showed that ENST00000444125 was the dominant transcript of LINC01503 in both normal and tumor tissues. Its expression was significantly elevated in the tumor group and associated with poor survival outcomes. LINC01503 had both cytoplasmic and nuclear distribution. It positively modulated the expression of multiple GSC markers, including CD133, SOX2, NESTIN, ALDH1A1, and MSI1, and tumorsphere formation in U251 and U87 cells. RNA pull-down and RIP-qPCR assay confirmed an interaction between ENST00000444125 and GLI2. ENST00000444125 positively regulated the half-life of the GLI2 protein in GBM cells. ENST00000444125 overexpression reduced GLI2 ubiquitination and partially attenuated FBXW1 overexpression induced GLI2 ubiquitination. ENST00000444125 overexpression could activate Wnt/β-catenin signaling in GBM cells. However, these activating effects were remarkedly hampered when GLI2 was knocked down. In conclusion, this study revealed that LINC01503 might have isoform-specific dysregulation in GBM. Among the two major transcripts expressed in GBM cells, ENST00000444125 might be the major functional transcript. Its upregulation might enhance the GSC properties of GBM cells via reducing FBXW1-mediated proteasomal degradation of GLI2.
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Affiliation(s)
- Pan Wei
- Department of Neurosurgery, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China
| | - Jing Jiang
- Department of Gastroenterology, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China
| | - Ming Xiao
- Department of Neurosurgery, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China
| | - Mengfei Zeng
- Department of Neurosurgery, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China
| | - Xingzhi Liu
- Department of Neurosurgery, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China
| | - Baihao Zhao
- Department of Neurosurgery, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China
| | - Fang Chen
- Department of Neurosurgery, The First People(')s Hospital of LongQuanYi District, Chengdu, Sichuan, 610100, China.
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