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Cheng DH, Jiang TG, Zeng WB, Li TM, Jing YD, Li ZQ, Guo YH, Zhang Y. Identification and coregulation pattern analysis of long noncoding RNAs in the mouse brain after Angiostrongylus cantonensis infection. Parasit Vectors 2024; 17:205. [PMID: 38715092 PMCID: PMC11077716 DOI: 10.1186/s13071-024-06278-6] [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: 12/05/2023] [Accepted: 04/11/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Angiostrongyliasis is a highly dangerous infectious disease. Angiostrongylus cantonensis larvae migrate to the mouse brain and cause symptoms, such as brain swelling and bleeding. Noncoding RNAs (ncRNAs) are novel targets for the control of parasitic infections. However, the role of these molecules in A. cantonensis infection has not been fully clarified. METHODS In total, 32 BALB/c mice were randomly divided into four groups, and the infection groups were inoculated with 40 A. cantonensis larvae by gavage. Hematoxylin and eosin (H&E) staining and RNA library construction were performed on brain tissues from infected mice. Differential expression of long noncoding RNAs (lncRNAs) and mRNAs in brain tissues was identified by high-throughput sequencing. The pathways and functions of the differentially expressed lncRNAs were determined by Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses. The functions of the differentially expressed lncRNAs were further characterized by lncRNA‒microRNA (miRNA) target interactions. The potential host lncRNAs involved in larval infection of the brain were validated by quantitative real-time polymerase chain reaction (qRT‒PCR). RESULTS The pathological results showed that the degree of brain tissue damage increased with the duration of infection. The transcriptome results showed that 859 lncRNAs and 1895 mRNAs were differentially expressed compared with those in the control group, and several lncRNAs were highly expressed in the middle-late stages of mouse infection. GO and KEGG pathway analyses revealed that the differentially expressed target genes were enriched mainly in immune system processes and inflammatory response, among others, and several potential regulatory networks were constructed. CONCLUSIONS This study revealed the expression profiles of lncRNAs in the brains of mice after infection with A. cantonensis. The lncRNAs H19, F630028O10Rik, Lockd, AI662270, AU020206, and Mexis were shown to play important roles in the infection of mice with A. cantonensis infection.
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Affiliation(s)
- Dong-Hui Cheng
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China
| | - Tian-Ge Jiang
- School of Global Health, National Center for Tropical Disease Research, Shanghai Jiao Tong University, Shanghai, People's Republic of China
| | - Wen-Bo Zeng
- School of Life Sciences, Fudan University, Shanghai, People's Republic of China
| | - Tian-Mei Li
- Dali Prefectural Institute of Research and Control On Schistosomiasis, Yunnan, People's Republic of China
| | - Yi-Dan Jing
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China
| | - Zhong-Qiu Li
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China
| | - Yun-Hai Guo
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China
| | - Yi Zhang
- National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (National Center for Tropical Diseases Research); Key Laboratory of Parasite and Vector Biology, National Health Commission; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Shanghai, People's Republic of China.
- School of Global Health, National Center for Tropical Disease Research, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
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Patrick MT, Sreeskandarajan S, Shefler A, Wasikowski R, Sarkar MK, Chen J, Qin T, Billi AC, Kahlenberg JM, Prens E, Hovnanian A, Weidinger S, Elder JT, Kuo CC, Gudjonsson JE, Tsoi LC. Large-scale functional inference for skin-expressing lncRNAs using expression and sequence information. JCI Insight 2023; 8:e172956. [PMID: 38131377 PMCID: PMC10807743 DOI: 10.1172/jci.insight.172956] [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: 06/08/2023] [Accepted: 11/08/2023] [Indexed: 12/23/2023] Open
Abstract
Long noncoding RNAs (lncRNAs) regulate the expression of protein-coding genes and have been shown to play important roles in inflammatory skin diseases. However, we still have limited understanding of the functional impact of lncRNAs in skin, partly due to their tissue specificity and lower expression levels compared with protein-coding genes. We compiled a comprehensive list of 18,517 lncRNAs from different sources and studied their expression profiles in 834 RNA-Seq samples from multiple inflammatory skin conditions and cytokine-stimulated keratinocytes. Applying a balanced random forest to predict involvement in biological functions, we achieved a median AUROC of 0.79 in 10-fold cross-validation, identifying significant DNA binding domains (DBDs) for 39 lncRNAs. G18244, a skin-expressing lncRNA predicted for IL-4/IL-13 signaling in keratinocytes, was highly correlated in expression with F13A1, a protein-coding gene involved in macrophage regulation, and we further identified a significant DBD in F13A1 for G18244. Reflecting clinical implications, AC090198.1 (predicted for IL-17 pathway) and AC005332.6 (predicted for IFN-γ pathway) had significant negative correlation with the SCORAD metric for atopic dermatitis. We also utilized single-cell RNA and spatial sequencing data to validate cell type specificity. Our research demonstrates lncRNAs have important immunological roles and can help prioritize their impact on inflammatory skin diseases.
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Affiliation(s)
- Matthew T. Patrick
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Sutharzan Sreeskandarajan
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Center for Autoimmune Genomics and Etiology (CAGE), Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Alanna Shefler
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Rachael Wasikowski
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Mrinal K. Sarkar
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Jiahan Chen
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- College of Sciences, North Carolina State University, Raleigh, North Carolina, USA
| | - Tingting Qin
- Department of Computational Medicine & Bioinformatics and
| | - Allison C. Billi
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - J. Michelle Kahlenberg
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Errol Prens
- Department of Dermatology, Erasmus University Medical Center, Rotterdam, Netherlands
| | - Alain Hovnanian
- Laboratory of Genetic Skin Diseases, Imagine Institute, Paris, France
| | - Stephan Weidinger
- Department of Dermatology and Allergy, University Medical Center Schleswig-Holstein, Kiel, Germany
| | - James T. Elder
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan, USA
| | - Chao-Chung Kuo
- Institute for Computational Genomics, Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen, Germany
| | - Johann E. Gudjonsson
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Lam C. Tsoi
- Department of Dermatology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
- Department of Computational Medicine & Bioinformatics and
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
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3
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Distefano R, Ilieva M, Madsen JH, Rennie S, Uchida S. DoxoDB: A Database for the Expression Analysis of Doxorubicin-Induced lncRNA Genes. Noncoding RNA 2023; 9:39. [PMID: 37489459 PMCID: PMC10366827 DOI: 10.3390/ncrna9040039] [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: 06/07/2023] [Revised: 07/08/2023] [Accepted: 07/11/2023] [Indexed: 07/26/2023] Open
Abstract
Cancer and cardiovascular disease are the leading causes of death worldwide. Recent evidence suggests that these two life-threatening diseases share several features in disease progression, such as angiogenesis, fibrosis, and immune responses. This has led to the emergence of a new field called cardio-oncology. Doxorubicin is a chemotherapy drug widely used to treat cancer, such as bladder and breast cancer. However, this drug causes serious side effects, including acute ventricular dysfunction, cardiomyopathy, and heart failure. Based on this evidence, we hypothesize that comparing the expression profiles of cells and tissues treated with doxorubicin may yield new insights into the adverse effects of the drug on cellular activities. To test this hypothesis, we analyzed published RNA sequencing (RNA-seq) data from doxorubicin-treated cells to identify commonly differentially expressed genes, including long non-coding RNAs (lncRNAs) as they are known to be dysregulated in diseased tissues and cells. From our systematic analysis, we identified several doxorubicin-induced genes. To confirm these findings, we treated human cardiac fibroblasts with doxorubicin to record expression changes in the selected doxorubicin-induced genes and performed a loss-of-function experiment of the lncRNA MAP3K4-AS1. To further disseminate the analyzed data, we built the web database DoxoDB.
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Affiliation(s)
- Rebecca Distefano
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Mirolyuba Ilieva
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, DK-2450 Copenhagen SV, Denmark
| | - Jens Hedelund Madsen
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, DK-2450 Copenhagen SV, Denmark
| | - Sarah Rennie
- Department of Biology, University of Copenhagen, DK-2200 Copenhagen N, Denmark
| | - Shizuka Uchida
- Center for RNA Medicine, Department of Clinical Medicine, Aalborg University, DK-2450 Copenhagen SV, Denmark
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4
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Song Y, Guo HL, Zhang MZ, Zhang ZL, Jin K, He QQ, Li H. lncRNA‑miRNA‑mRNA network in female offspring born from obese dams. Exp Ther Med 2023; 25:140. [PMID: 36845957 PMCID: PMC9947576 DOI: 10.3892/etm.2023.11839] [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] [Received: 11/18/2021] [Accepted: 10/28/2022] [Indexed: 02/15/2023] Open
Abstract
Maternal obesity is associated with disturbance of lipid metabolism and obesity in offspring; however, the pathogenesis is still unclear. The present study elucidated the role of potential lipid metabolism-associated long non-coding RNA (lncRNA) and identified the pathways involved in mice born to obese dams. In the present study, maternal obesity was induced by feeding a high-fat diet for 10 weeks in female C57/BL6 mice, whereas control mice were fed a standard diet. All female mice mated with healthy male mice and were allowed to deliver spontaneously. The results demonstrated that female offspring from obese dams presented a tendency to become overweight in the first 8 weeks after birth; however, maternal obesity did not significantly alter the body weight of male offspring. RNA-sequencing analysis was performed on female offspring liver at 3 weeks old. Significantly dysregulated lncRNAs and downstream targets in female offspring liver were identified using bioinformatics analysis. lncRNA, microRNA (miRNA or miR) and mRNA expression levels in liver and AML12 cells were assessed using reverse transcription-quantitative PCR. A total of 8 upregulated and 17 downregulated lncRNAs were demonstrated in offspring from obese dams and lncRNA Lockd was indicated to be a key dysregulated lncRNA. Competing endogenous RNA (ceRNA) models suggested that the lncRNA Lockd/miR-582-5p/Elovl5 pathway was key for lipid metabolism in the liver of offspring from obese dams. Finally, small interfering RNA and miRNA inhibitor transfection was used to evaluate the ceRNA models in AML12 cells. Taken together, the results of the present study indicated that lncRNA Lockd-miR-582-5p-Elovl5 network may be disrupted in lipid metabolism and lead to obesity in the offspring of obese dams. This research will provide new insights into the molecular mechanism of obesity and lipid metabolism disorder.
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Affiliation(s)
- Yong Song
- School of Public Health, Wuhan University, Wuhan, Hubei 430071, P.R. China,Institute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei 430079, P.R. China
| | - Hong-Lin Guo
- School of Public Administration, South Central University for Nationalities, Wuhan, Hubei 430074, P.R. China
| | - Min-Zhe Zhang
- School of Public Health, Wuhan University, Wuhan, Hubei 430071, P.R. China
| | - Ze-Lin Zhang
- Department of Clinical Nutrition, Yichang Central People's Hospital, Yichang, Hubei 443003, P.R. China
| | - Ke Jin
- School of Food Science and Engineering, Wuhan Polytechnic University, Wuhan, Hubei 430023, P.R. China
| | - Qi-Qiang He
- Shenzhen Research Institute, Wuhan University, Shenzhen, Guangdong 518000, P.R. China
| | - Hui Li
- Medical Department, Taixing People's Hospital, Taizhou, Jiangsu 225400, P.R. China,Correspondence to: Miss Hui Li, Medical Department, Taixing People's Hospital, 1 Changzheng Road, Taixing, Taizhou, Jiangsu 225400, P.R. China
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Shan Y, Huang Y, Lee AM, Mentzer J, Ling A, Huang RS. A Long Noncoding RNA, GAS5 Can Be a Biomarker for Docetaxel Response in Castration Resistant Prostate Cancer. Front Oncol 2021; 11:675215. [PMID: 34094978 PMCID: PMC8176853 DOI: 10.3389/fonc.2021.675215] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 04/12/2021] [Indexed: 11/17/2022] Open
Abstract
While functional studies of long noncoding RNAs (lncRNAs) have mostly focused on how they influence disease diagnosis and prognosis, the pharmacogenomic relevance of lncRNAs remains largely unknown. Here, we test the hypothesis that the expression of a lncRNA, grow arrest-specific 5 (GAS5) can be a biomarker for docetaxel response in castration resistant prostate cancer (CRPC) using both prostate cancer (PCa) cell lines and CRPC patient datasets. Our results suggest that lower GAS5 expression is associated with docetaxel resistance in both PCa cell lines and CRPC patients. Further experiments also suggest that GAS5 is downregulated in docetaxel resistant CRPC cell lines, which reinforces its potential as a biomarker for docetaxel response. To examine the underlying biological mechanisms, we transiently knockdown GAS5 expression in PCa cell lines and then subject the cells to docetaxel treatment overtime. We did not observe a decrease in docetaxel induced growth inhibition or apoptosis in the siRNA treated cells. The findings suggest that there is no direct causal relationship between change in GAS5 expression and docetaxel response. Subsequently, we explored the indirect regulation among GAS5, ATP binding cassette subfamily B member 1 (ABCB1), and docetaxel sensitivity. We showed that transient knockdown GAS5 did not lead to significant changes in ABCB1 expression. Therefore, we rule out the hypothesis that GAS5 directly down regulate ABCB1 that lead to docetaxel sensitivity. In conclusion, our work suggests that GAS5 can serve as a predictive biomarker for docetaxel response in CRPC; however, the exact mechanism behind the observed correlation remain to be elucidated.
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Affiliation(s)
- Yuting Shan
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
| | - Yingbo Huang
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
| | - Adam M Lee
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
| | - Joshua Mentzer
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
| | - Alexander Ling
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
| | - R Stephanie Huang
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, MN, United States
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6
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Vangoor VR, Gomes‐Duarte A, Pasterkamp RJ. Long non-coding RNAs in motor neuron development and disease. J Neurochem 2021; 156:777-801. [PMID: 32970857 PMCID: PMC8048821 DOI: 10.1111/jnc.15198] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 09/11/2020] [Accepted: 09/14/2020] [Indexed: 12/11/2022]
Abstract
Long non-coding RNAs (lncRNAs) are RNAs that exceed 200 nucleotides in length and that are not translated into proteins. Thousands of lncRNAs have been identified with functions in processes such as transcription and translation regulation, RNA processing, and RNA and protein sponging. LncRNAs show prominent expression in the nervous system and have been implicated in neural development, function and disease. Recent work has begun to report on the expression and roles of lncRNAs in motor neurons (MNs). The cell bodies of MNs are located in cortex, brainstem or spinal cord and their axons project into the brainstem, spinal cord or towards peripheral muscles, thereby controlling important functions such as movement, breathing and swallowing. Degeneration of MNs is a pathological hallmark of diseases such as amyotrophic lateral sclerosis and spinal muscular atrophy. LncRNAs influence several aspects of MN development and disruptions in these lncRNA-mediated effects are proposed to contribute to the pathogenic mechanisms underlying MN diseases (MNDs). Accumulating evidence suggests that lncRNAs may comprise valuable therapeutic targets for different MNDs. In this review, we discuss the role of lncRNAs (including circular RNAs [circRNAs]) in the development of MNs, discuss how lncRNAs may contribute to MNDs and provide directions for future research.
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Affiliation(s)
- Vamshidhar R. Vangoor
- Department of Translational NeuroscienceUniversity Medical Center Utrecht Brain CenterUtrecht UniversityUtrechtThe Netherlands
| | - Andreia Gomes‐Duarte
- Department of Translational NeuroscienceUniversity Medical Center Utrecht Brain CenterUtrecht UniversityUtrechtThe Netherlands
| | - R. Jeroen Pasterkamp
- Department of Translational NeuroscienceUniversity Medical Center Utrecht Brain CenterUtrecht UniversityUtrechtThe Netherlands
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7
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Exosome-Derived Noncoding RNAs as a Promising Treatment of Bone Regeneration. Stem Cells Int 2021; 2021:6696894. [PMID: 33542737 PMCID: PMC7843188 DOI: 10.1155/2021/6696894] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2020] [Revised: 12/18/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
The reconstruction of large bone defects remains a crucial challenge in orthopedic surgery. The current treatments including autologous and allogenic bone grafting and bioactive materials have their respective drawbacks. While mesenchymal stem cell (MSC) therapy may address these limitations, growing researches have demonstrated that the effectiveness of MSC therapy depends on paracrine factors, particularly exosomes. This aroused great focus on the exosome-based cell-free therapy in the treatment of bone defects. Exosomes can transfer various cargoes, and noncoding RNAs are the most widely studied cargo through which exosomes exert their ability of osteoinduction. Here, we review the research status of the exosome-derived noncoding RNAs in bone regeneration, the potential application of exosomes, and the existing challenges.
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Brex D, Barbagallo C, Mirabella F, Caponnetto A, Battaglia R, Barbagallo D, Caltabiano R, Broggi G, Memeo L, Di Pietro C, Purrello M, Ragusa M. LINC00483 Has a Potential Tumor-Suppressor Role in Colorectal Cancer Through Multiple Molecular Axes. Front Oncol 2021; 10:614455. [PMID: 33552987 PMCID: PMC7855711 DOI: 10.3389/fonc.2020.614455] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/04/2020] [Indexed: 12/20/2022] Open
Abstract
Long non-coding RNAs (lncRNAs) are the most heterogeneous class of non-protein-coding RNAs involved in a broad spectrum of molecular mechanisms controlling genome function, including the generation of complex networks of RNA-RNA competitive interactions. Accordingly, their dysregulation contributes to the onset of many tumors, including colorectal cancer (CRC). Through a combination of in silico approaches (statistical screening of expression datasets) and in vitro analyses (enforced expression, artificial inhibition, or activation of pathways), we identified LINC00483 as a potential tumor suppressor lncRNA in CRC. LINC00483 was downregulated in CRC biopsies and metastases and its decreased levels were associated with severe clinical features. Inhibition of the MAPK pathway and cell cycle arrest by starvation induced an upregulation of LINC00483, while the epithelial to mesenchymal transition activation by TGFβ-1 and IL-6 caused its down-modulation. Moreover, enforced expression of LINC00483 provoked a slowing down of cell migration rate without affecting cell proliferation. Since LINC00483 was predominantly cytoplasmic, we hypothesized a “miRNA sponge” role for it. Accordingly, we computationally reconstructed the LINC00483/miRNA/mRNA axes and evaluated the expression of mRNAs in different experimental conditions inducing LINC00483 alteration. By this approach, we identified a set of mRNAs sharing the miRNA response elements with LINC00483 and modulated in accordance with it. Moreover, we found that LINC00483 is potentially under negative control of transcription factor HNF4α. In conclusion, we propose that LINC00483 is a tumor suppressor in CRC that, through an RNA-RNA network, may control cell migration and participate in proliferation signaling.
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Affiliation(s)
- Duilia Brex
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Cristina Barbagallo
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Federica Mirabella
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Angela Caponnetto
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Rosalia Battaglia
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Davide Barbagallo
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Rosario Caltabiano
- Department of Medical, Surgical Sciences and Advanced Technologies G.F. Ingrassia, University of Catania, Catania, Italy
| | - Giuseppe Broggi
- Department of Medical, Surgical Sciences and Advanced Technologies G.F. Ingrassia, University of Catania, Catania, Italy
| | - Lorenzo Memeo
- Department of Experimental Oncology, Mediterranean Institute of Oncology (IOM), Catania, Italy
| | - Cinzia Di Pietro
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Michele Purrello
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
| | - Marco Ragusa
- Department of Biomedical and Biotechnological Sciences - Section of Biology and Genetics "Giovanni Sichel," University of Catania, Catania, Italy
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