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Tesarova T, Fiala O, Hora M, Vaclavikova R. Non-coding transcriptome profiles in clear-cell renal cell carcinoma. Nat Rev Urol 2025; 22:151-174. [PMID: 39242964 DOI: 10.1038/s41585-024-00926-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/29/2024] [Indexed: 09/09/2024]
Abstract
Clear-cell renal cell carcinoma (ccRCC) is a common urological malignancy with an increasing incidence. The development of molecular biomarkers that can predict the response to treatment and guide personalized therapy selection would substantially improve patient outcomes. Dysregulation of non-coding RNA (ncRNA) has been shown to have a role in the pathogenesis of ccRCC. Thus, an increasing number of studies are being carried out with a focus on the identification of ncRNA biomarkers in ccRCC tissue samples and the connection of these markers with patients' prognosis, pathological stage and grade (including metastatic potential), and therapy outcome. RNA sequencing analysis led to the identification of several ncRNA biomarkers that are dysregulated in ccRCC and might have a role in ccRCC development. These ncRNAs have the potential to be prognostic and predictive biomarkers for ccRCC, with prospective applications in personalized treatment selection. Research on ncRNA biomarkers in ccRCC is advancing, but clinical implementation remains preliminary owing to challenges in validation, standardization and reproducibility. Comprehensive studies and integration of ncRNAs into clinical trials are essential to accelerate the clinical use of these biomarkers.
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Affiliation(s)
- Tereza Tesarova
- Toxicogenomics Unit, National Institute of Public Health, Prague, Czech Republic.
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
| | - Ondrej Fiala
- Department of Oncology and Radiotherapeutics, Faculty of Medicine in Pilsen and University Hospital, Charles University, Pilsen, Czech Republic
- Laboratory of Cancer Treatment and Tissue Regeneration, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
| | - Milan Hora
- Department of Urology, Faculty of Medicine in Pilsen and University Hospital, Charles University, Pilsen, Czech Republic
| | - Radka Vaclavikova
- Toxicogenomics Unit, National Institute of Public Health, Prague, Czech Republic
- Laboratory of Pharmacogenomics, Biomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic
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2
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Hamar R, Varga M. The zebrafish ( Danio rerio) snoRNAome. NAR Genom Bioinform 2025; 7:lqaf013. [PMID: 40046902 PMCID: PMC11880993 DOI: 10.1093/nargab/lqaf013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2024] [Revised: 02/08/2025] [Accepted: 02/14/2025] [Indexed: 04/16/2025] Open
Abstract
Small nucleolar RNAs (snoRNAs) are one of the most abundant and evolutionary ancient group of functional non-coding RNAs. They were originally described as guides of post-transcriptional rRNA modifications, but emerging evidence suggests that snoRNAs fulfil an impressive variety of cellular functions. To reveal the true complexity of snoRNA-dependent functions, we need to catalogue first the complete repertoire of snoRNAs in a given cellular context. While the systematic mapping and characterization of "snoRNAomes" for some species have been described recently, this has not been done hitherto for the zebrafish (Danio rerio). Using size-fractionated RNA sequencing data from adult zebrafish tissues, we created an interactive "snoRNAome" database for this species. Our custom-designed analysis pipeline allowed us to identify with high-confidence 67 previously unannotated snoRNAs in the zebrafish genome, resulting in the most complete set of snoRNAs to date in this species. Reanalyzing multiple previously published datasets, we also provide evidence for the dynamic expression of some snoRNAs during the early stages of zebrafish development and tissue-specific expression patterns for others in adults. To facilitate further investigations into the functions of snoRNAs in zebrafish, we created a novel interactive database, snoDanio, which can be used to explore small RNA expression from transcriptomic data.
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Affiliation(s)
- Renáta Hamar
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, 1117, Hungary
| | - Máté Varga
- Department of Genetics, ELTE Eötvös Loránd University, Budapest, 1117, Hungary
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3
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Maimaitijiang G, Kira J, Nakamura Y, Watanabe M, Takase EO, Nagata S, Sakoda A, Zhang X, Masaki K, Yamasaki R, Isobe N, Yamaguchi H, Imamura T. Blood exosome connexins and small RNAs related to demyelinating disease activity. Ann Clin Transl Neurol 2025; 12:538-555. [PMID: 39901658 PMCID: PMC11920735 DOI: 10.1002/acn3.52307] [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: 10/24/2024] [Revised: 12/23/2024] [Accepted: 01/03/2025] [Indexed: 02/05/2025] Open
Abstract
OBJECTIVES To assess blood exosome (Ex)-connexin (Cx)43 (encoded by GJA1) and its truncated isoforms in multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD), which show distinct alterations in astroglial Cx43. METHODS Serum Exs from 48 patients with MS (34 relapsing-remitting, 14 secondary-progressive), 35 with NMOSD, 20 with other inflammatory neurologic diseases (OIND), and 17 healthy controls (HC) were subjected to quantitative Western blotting for Cx43, single-molecule array for neurofilament-L, and quantitative polymerase chain reaction for non-coding RNAs detected by RNA sequencing. Sera from control and astroglia-specific Cx43 inducible conditional knockout (Cx43-icKO) mice with experimental autoimmune encephalomyelitis (EAE) were also tested. RESULTS Ex-GJA1-29k was markedly higher in MS than in NMOSD, OIND, and HC; it successively increased at relapse, remission, and secondary progression, and positively correlated with disability scores. Ex-hsa-miR-133b and other hsa-miRs that bind to full-length Cx43 were significantly lower in secondary-progressive MS than in HC, and Ex-hsa-miR-133b was negatively correlated with disability scores. Ex-GJA1-11k expression was lower in NMOSD at relapse than in HC and OIND, and was negatively correlated with disability score worsening and Ex-neurofilament-L levels. NMOSD at relapse had significantly higher expression of small nucleolar RNA (SNORD37, SNORD95, and SNORD97) than HC, and SNORD37 and SNORD95 showed strong negative correlations with disability scores. Control mice showed increased Ex-GJA1-43k and -29k during EAE; this effect was markedly reduced in Cx43-icKO mice with attenuated EAE. INTERPRETATION Blood Ex-Cx43-truncated isoforms and small non-coding RNAs, which partially come from brain astroglia, are distinctly dysregulated in MS and NMSOD.
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Affiliation(s)
- Guzailiayi Maimaitijiang
- Translational Neuroscience Research Center, Graduate School of MedicineInternational University of Health and WelfareOkawaJapan
| | - Jun‐ichi Kira
- Translational Neuroscience Research Center, Graduate School of MedicineInternational University of Health and WelfareOkawaJapan
- Department of Neurology, Brain and Nerve CenterFukuoka Central Hospital, International University of Health and WelfareFukuokaJapan
- School of Pharmacy at FukuokaInternational University of Health and WelfareOkawaJapan
| | - Yuri Nakamura
- Translational Neuroscience Research Center, Graduate School of MedicineInternational University of Health and WelfareOkawaJapan
- Department of Neurology, Brain and Nerve CenterFukuoka Central Hospital, International University of Health and WelfareFukuokaJapan
- School of Pharmacy at FukuokaInternational University of Health and WelfareOkawaJapan
| | - Mitsuru Watanabe
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Ezgi Ozdemir Takase
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Satoshi Nagata
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Ayako Sakoda
- Translational Neuroscience Research Center, Graduate School of MedicineInternational University of Health and WelfareOkawaJapan
- Department of Neurology, Brain and Nerve CenterFukuoka Central Hospital, International University of Health and WelfareFukuokaJapan
| | - Xu Zhang
- Translational Neuroscience Research Center, Graduate School of MedicineInternational University of Health and WelfareOkawaJapan
| | - Katsuhisa Masaki
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Ryo Yamasaki
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
| | - Hiroo Yamaguchi
- Department of Neurology, Neurological Institute, Graduate School of Medical SciencesKyushu UniversityFukuokaJapan
- School of Physical Therapy, Faculty of RehabilitationReiwa Health Sciences UniversityFukuokaJapan
| | - Tomohiro Imamura
- Translational Neuroscience Research Center, Graduate School of MedicineInternational University of Health and WelfareOkawaJapan
- School of Pharmacy at FukuokaInternational University of Health and WelfareOkawaJapan
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Karami Y, Ehtiati S, Ghasemi H, Rafiee M, Zamani Sani M, Hosseini SE, Moradi Kazerouni H, Movahedpour A, Aiiashi S, Khatami SH. Non-coding RNA biosensors for early detection of brain cancer. Clin Chim Acta 2025; 566:120041. [PMID: 39561887 DOI: 10.1016/j.cca.2024.120041] [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: 09/30/2024] [Revised: 11/11/2024] [Accepted: 11/11/2024] [Indexed: 11/21/2024]
Abstract
Brain cancer remains a formidable challenge with limited treatment options. Non-coding RNAs (ncRNAs) have emerged as promising biomarkers due to their dysregulation in tumorigenesis. This review explores the potential of biosensors for early detection of brain cancer by targeting ncRNAs. We discuss the classification and functions of ncRNAs, emphasizing their involvement in key cancer-related processes. Additionally, we delve into recent advancements in biosensor technology, focusing on their ability to accurately detect specific ncRNA biomarkers associated with brain cancer. Our findings underscore the potential of biosensors to revolutionize brain cancer diagnosis, enabling personalized medicine and improving patient outcomes. Future research should focus on refining biosensor technology and expanding their clinical application.
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Affiliation(s)
- Yousof Karami
- Department of Clinical Science, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran
| | - Sajad Ehtiati
- Student Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hassan Ghasemi
- Research Center for Environmental Contaminants (RCEC), Abadan University of Medical Sciences, Abadan, Iran
| | - Maedeh Rafiee
- Department of Veterinary Sciences University of Wyoming 1174 Snowy Range Road Laramie, WY 82070, USA
| | - Maryam Zamani Sani
- Department of Clinical Biochemistry and Laboratory Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Seyed Edris Hosseini
- Resident of Large Animal Internal Medicine, Department of Clinical Sciences, School of Veterinary Medicine, Shiraz University, Iran
| | | | - Ahmad Movahedpour
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
| | - Saleh Aiiashi
- Abadan University of Medical Sciences, Abadan, Iran.
| | - Seyyed Hossein Khatami
- Student Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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5
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Wittmann J. Overview of the Different Classes of Small RNAs During B-Cell Development. Methods Mol Biol 2025; 2883:1-29. [PMID: 39702702 DOI: 10.1007/978-1-0716-4290-0_1] [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: 12/21/2024]
Abstract
B lymphocytes (B cells) are a type of white blood cell that play an essential role in the adaptive immune response. They are derived from pluripotent hematopoietic stem cells and undergo several developmental stages in the bone marrow and secondary lymphoid organs to become effector cells. B cells can act as antigen-presenting cells, secrete cytokines, generate immunological memory as memory B cells, and produce and secrete high-affinity antibodies as plasma B cells.B-cell development occurs in discontinuous steps within specific organs and niche environments, progressing through checkpoints controlled by the relative levels of numerous transcription factors, cytokines, and surface receptors. These complex interactions of distinct developmental programs operate through balanced control mechanisms rather than simple "on/off" signals.Over the past two decades, much has been learned about short non-coding RNA (ncRNA) molecules that play a critical role in fine-tuning gene expression by targeting specific messenger RNAs (mRNAs) for degradation or translational repression. In the intricate orchestration of B-cell development, ncRNAs contribute to the delicate balance between proliferation, differentiation, and apoptosis by influencing key checkpoints in the maturation process.Therefore, in this chapter, I will review the role of different classes of small ncRNAs, including microRNAs, glycoRNAs, tRNA-derived fragments, and ribosomal RNA-derived fragments, in modulating gene expression at the post-transcriptional level and their contribution to the intricate regulatory network that controls B-cell maturation.
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Affiliation(s)
- Jürgen Wittmann
- Division of Molecular Immunology, Department of Internal Medicine III, Nikolaus-Fiebiger-Center of Molecular Medicine, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
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6
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Hashemi M, Khoushab S, Aghmiuni MH, Anaraki SN, Alimohammadi M, Taheriazam A, Farahani N, Entezari M. Non-coding RNAs in oral cancer: Emerging biomarkers and therapeutic frontier. Heliyon 2024; 10:e40096. [PMID: 39583806 PMCID: PMC11582460 DOI: 10.1016/j.heliyon.2024.e40096] [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: 06/09/2024] [Revised: 10/13/2024] [Accepted: 11/01/2024] [Indexed: 11/26/2024] Open
Abstract
Around the world, oral cancer (OC) is a major public health problem, resulting in a significant number of deaths each year. Early detection and treatment are crucial for improving patient outcomes. Recent progress in DNA sequencing and transcriptome profiling has revealed extensive non-coding RNAs (ncRNAs) transcription, underscoring their regulatory importance. NcRNAs influence genomic transcription and translation and molecular signaling pathways, making them valuable for various clinical applications. Combining spatial transcriptomics (ST) and spatial metabolomics (SM) with single-cell RNA sequencing provides deeper insights into tumor microenvironments, enhancing diagnostic and therapeutic precision for OC. Additionally, the exploration of salivary biomarkers offers a non-invasive diagnostic avenue. This article explores the potential of ncRNAs as diagnostic and therapeutic tools for OC.
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Affiliation(s)
- Mehrdad Hashemi
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Saloomeh Khoushab
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Mina Hobabi Aghmiuni
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Saeid Nemati Anaraki
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Department of Operative, Faculty of Dentistry, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Mina Alimohammadi
- Department of Immunology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Afshin Taheriazam
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Department of Orthopedics, Faculty of Medicine, Tehran Medical Sciences, Islamic Azad University,Tehran, Iran
| | - Najma Farahani
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
| | - Maliheh Entezari
- Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
- Farhikhtegan Medical Convergence Sciences Research Center, Farhikhtegan Hospital Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
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7
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Hu X, Cui W, Liu M, Zhang F, Zhao Y, Zhang M, Yin Y, Li Y, Che Y, Zhu X, Fan Y, Deng X, Wei M, Wu H. SnoRNAs: The promising targets for anti-tumor therapy. J Pharm Anal 2024; 14:101064. [PMID: 39634568 PMCID: PMC11613181 DOI: 10.1016/j.jpha.2024.101064] [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: 02/20/2024] [Revised: 07/27/2024] [Accepted: 08/01/2024] [Indexed: 12/07/2024] Open
Abstract
Recently, small nucleolar RNAs (snoRNAs) have transcended the genomic "noise" to emerge as pivotal molecular markers due to their essential roles in tumor progression. Substantial evidence indicates a strong association between snoRNAs and critical clinical features such as tumor pathology and drug resistance. Historically, snoRNA research has concentrated on two classical mechanisms: 2'-O-ribose methylation and pseudouridylation. This review specifically summarizes the novel regulatory mechanisms and functional patterns of snoRNAs in tumors, encompassing transcriptional, post-transcriptional, and post-translational regulation. We further discuss the synergistic effect between snoRNA host genes (SNHGs) and snoRNAs in tumor progression. More importantly, snoRNAs extensively contribute to the development of tumor cell resistance as oncogenes or tumor suppressor genes. Accordingly, we provide a comprehensive review of the clinical diagnosis and treatment associated with snoRNAs and explore their significant potential as novel drug targets.
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Affiliation(s)
- Xiaoyun Hu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
- Scientific Experimental Center, School of Pharmacy, China Medical University, Shenyang, 110122, China
| | - Wanlin Cui
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Min Liu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Fangxiao Zhang
- The Second Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Yingqi Zhao
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Mingrong Zhang
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Yuhang Yin
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Yalun Li
- Department of Anorectal Surgery, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Ying Che
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Xianglong Zhu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Yuxuan Fan
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
| | - Xiaolan Deng
- Department of Systems Biology, Beckman Research Institute of City of Hope, Monrovia, CA, 91016, USA
| | - Minjie Wei
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
- Scientific Experimental Center, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Shenyang Kangwei Medical Laboratory Analysis Co., Ltd., Shenyang, 110000, China
| | - Huizhe Wu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Liaoning Key Laboratory of Molecular Targeted Anti-tumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors, Ministry of Education, China Medical University, Shenyang, 110122, China
- Scientific Experimental Center, School of Pharmacy, China Medical University, Shenyang, 110122, China
- Shenyang Kangwei Medical Laboratory Analysis Co., Ltd., Shenyang, 110000, China
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8
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Ben S, Ding Z, Xin J, Li F, Cheng Y, Chen S, Fan L, Zhang Q, Li S, Du M, Zhang Z, Wei GH, Cheng G, Wang M. piRNA PROPER Suppresses DUSP1 Translation by Targeting N 6-Methyladenosine-Mediated RNA Circularization to Promote Oncogenesis of Prostate Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2402954. [PMID: 38962952 PMCID: PMC11434016 DOI: 10.1002/advs.202402954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/19/2024] [Indexed: 07/05/2024]
Abstract
Genetic and epigenetic alterations occur in many physiological and pathological processes. The existing knowledge regarding the association of PIWI-interacting RNAs (piRNAs) and their genetic variants on risk and progression of prostate cancer (PCa) is limited. In this study, three genome-wide association study datasets are combined, including 85,707 PCa cases and 166,247 controls, to uncover genetic variants in piRNAs. Functional investigations involved manipulating piRNA expression in cellular and mouse models to study its oncogenetic role in PCa. A specific genetic variant, rs17201241 is identified, associated with increased expression of PROPER (piRNA overexpressed in prostate cancer) in tumors and are located within the gene, conferring an increased risk and malignant progression of PCa. Mechanistically, PROPER coupled with YTHDF2 to recognize N6-methyladenosine (m6A) and facilitated RNA-binding protein interactions between EIF2S3 at 5'-untranslated region (UTR) and YTHDF2/YBX3 at 3'-UTR to promote DUSP1 circularization. This m6A-dependent mRNA-looping pattern enhanced DUSP1 degradation and inhibited DUSP1 translation, ultimately reducing DUSP1 expression and promoting PCa metastasis via the p38 mitogen-activated protein kinase (MAPK) signaling pathway. Inhibition of PROPER expression using antagoPROPER effectively suppressed xenograft growth, suggesting its potential as a therapeutic target. Thus, targeting piRNA PROPER-mediated genetic and epigenetic fine control is a promising strategy for the concurrent prevention and treatment of PCa.
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Affiliation(s)
- Shuai Ben
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215002, China
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200080, China
| | - Zhutao Ding
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Junyi Xin
- Department of Bioinformatic, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, Jiangsu, 211166, China
| | - Feng Li
- State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, Jiangsu, 211100, China
| | - Yifei Cheng
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Silu Chen
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Lulu Fan
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Qin Zhang
- Disease Networks Research Unit, Faculty of Biochemistry and Molecular Medicine & Biocenter Oulu, University of Oulu, Oulu, 90220, Finland
| | - Shuwei Li
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Mulong Du
- Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Gong-Hong Wei
- Disease Networks Research Unit, Faculty of Biochemistry and Molecular Medicine & Biocenter Oulu, University of Oulu, Oulu, 90220, Finland
- Fudan University Shanghai Cancer Center & MOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Shanghai Medical College of Fudan University, Shanghai, 200032, China
| | - Gong Cheng
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University & Jiangsu Province People's Hospital, Nanjing, 210029, China
| | - Meilin Wang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, 215002, China
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
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9
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Chauhan W, Sudharshan SJ, Kafle S, Zennadi R. SnoRNAs: Exploring Their Implication in Human Diseases. Int J Mol Sci 2024; 25:7202. [PMID: 39000310 PMCID: PMC11240930 DOI: 10.3390/ijms25137202] [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: 05/27/2024] [Revised: 06/27/2024] [Accepted: 06/28/2024] [Indexed: 07/16/2024] Open
Abstract
Small nucleolar RNAs (snoRNAs) are earning increasing attention from research communities due to their critical role in the post-transcriptional modification of various RNAs. These snoRNAs, along with their associated proteins, are crucial in regulating the expression of a vast array of genes in different human diseases. Primarily, snoRNAs facilitate modifications such as 2'-O-methylation, N-4-acetylation, and pseudouridylation, which impact not only ribosomal RNA (rRNA) and their synthesis but also different RNAs. Functionally, snoRNAs bind with core proteins to form small nucleolar ribonucleoproteins (snoRNPs). These snoRNAs then direct the protein complex to specific sites on target RNA molecules where modifications are necessary for either standard cellular operations or the regulation of pathological mechanisms. At these targeted sites, the proteins coupled with snoRNPs perform the modification processes that are vital for controlling cellular functions. The unique characteristics of snoRNAs and their involvement in various non-metabolic and metabolic diseases highlight their potential as therapeutic targets. Moreover, the precise targeting capability of snoRNAs might be harnessed as a molecular tool to therapeutically address various disease conditions. This review delves into the role of snoRNAs in health and disease and explores the broad potential of these snoRNAs as therapeutic agents in human pathologies.
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Affiliation(s)
| | | | | | - Rahima Zennadi
- Department of Physiology, University of Tennessee Health Science Center, 71 S. Manassas St., Memphis, TN 38103, USA; (W.C.); (S.S.); (S.K.)
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10
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Huo M, Rai SK, Nakatsu K, Deng Y, Jijiwa M. Subverting the Canon: Novel Cancer-Promoting Functions and Mechanisms for snoRNAs. Int J Mol Sci 2024; 25:2923. [PMID: 38474168 PMCID: PMC10932220 DOI: 10.3390/ijms25052923] [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: 01/18/2024] [Revised: 02/27/2024] [Accepted: 02/27/2024] [Indexed: 03/14/2024] Open
Abstract
Small nucleolar RNAs (snoRNAs) constitute a class of intron-derived non-coding RNAs ranging from 60 to 300 nucleotides. Canonically localized in the nucleolus, snoRNAs play a pivotal role in RNA modifications and pre-ribosomal RNA processing. Based on the types of modifications they involve, such as methylation and pseudouridylation, they are classified into two main families-box C/D and H/ACA snoRNAs. Recent investigations have revealed the unconventional synthesis and biogenesis strategies of snoRNAs, indicating their more profound roles in pathogenesis than previously envisioned. This review consolidates recent discoveries surrounding snoRNAs and provides insights into their mechanistic roles in cancer. It explores the intricate interactions of snoRNAs within signaling pathways and speculates on potential therapeutic solutions emerging from snoRNA research. In addition, it presents recent findings on the long non-coding small nucleolar RNA host gene (lncSNHG), a subset of long non-coding RNAs (lncRNAs), which are the transcripts of parental SNHGs that generate snoRNA. The nucleolus, the functional epicenter of snoRNAs, is also discussed. Through a deconstruction of the pathways driving snoRNA-induced oncogenesis, this review aims to serve as a roadmap to guide future research in the nuanced field of snoRNA-cancer interactions and inspire potential snoRNA-related cancer therapies.
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Affiliation(s)
- Matthew Huo
- Krieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD 21218, USA;
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA; (S.K.R.); (K.N.)
| | - Sudhir Kumar Rai
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA; (S.K.R.); (K.N.)
| | - Ken Nakatsu
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA; (S.K.R.); (K.N.)
- Emory College of Arts and Sciences, Emory University, Atlanta, GA 30322, USA
| | - Youping Deng
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA; (S.K.R.); (K.N.)
| | - Mayumi Jijiwa
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA; (S.K.R.); (K.N.)
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11
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Dubey G, Singh M, Singh H, Agarwal M, Chandel SS, Mishra A, Singh RP, Kukreti N. Emerging roles of SnoRNAs in the pathogenesis and treatment of autoimmune disorders. Pathol Res Pract 2024; 253:154952. [PMID: 38000202 DOI: 10.1016/j.prp.2023.154952] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 11/13/2023] [Accepted: 11/15/2023] [Indexed: 11/26/2023]
Abstract
SnoRNAs (small non-coding RNAs) have recently gained prominence in autoimmune diseases, revealing their crucial role in modulating the immune response and contributing to disease pathogenesis. Initially known for their involvement in ribosomal RNA processing and modification, molecular biology and genomics advancements have uncovered their broader impact on cellular function, especially in autoimmune disorders. Autoimmune diseases represent conditions characterized by the immune system's erroneous attacks on self-tissues, encompassing disorders like systemic lupus erythematosus, rheumatoid arthritis, and multiple sclerosis. The complex etiology of these conditions involves a delicate interplay of genetic and environmental factors. Emerging evidence suggests that snoRNAs initially recognized for their housekeeping roles, extend their influence on immune regulation through diverse mechanisms. SnoRNAs have been implicated in epigenetic modification, directly affecting the gene expression profiles of immune cells. Their ability to guide site-specific changes on ribosomal RNAs and other non-coding RNAs can significantly influence the translation of proteins involved in immune response pathways. Moreover, snoRNAs interact with key immune-related proteins, modulating their functions and subsequently impacting immune cell development, activation, and tolerance. Dysregulation of snoRNA expression has been observed in various autoimmune diseases, underscoring their potential as biomarkers for disease diagnosis, prognosis, and therapeutic targets. Manipulating snoRNA expression or activity is a promising therapeutic intervention avenue, offering the potential for personalized treatment strategies in autoimmune diseases. However, there remains a need for comprehensive research efforts to elucidate the precise molecular mechanisms underlying snoRNA-mediated immune modulation. Further investigations in this domain are essential to unravel the potential of snoRNAs in autoimmune disorders.
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Affiliation(s)
- Gaurav Dubey
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, Rajasthan, India
| | - Mithilesh Singh
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, Rajasthan, India.
| | - Himmat Singh
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, Rajasthan, India
| | - Mohit Agarwal
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, Rajasthan, India
| | | | - Anurag Mishra
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, Rajasthan, India
| | - Ravindra Pal Singh
- NIMS Institute of Pharmacy, NIMS University Rajasthan, Jaipur, Rajasthan, India
| | - Neelima Kukreti
- School of Pharmacy, Graphic Era Hill University, Dehradun 248007, India
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12
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Nakatsu K, Jijiwa M, Khadka V, Nasu M, Deng Y. sRNAfrag: a pipeline and suite of tools to analyze fragmentation in small RNA sequencing data. Brief Bioinform 2023; 25:bbad515. [PMID: 38243693 PMCID: PMC10796253 DOI: 10.1093/bib/bbad515] [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: 10/21/2023] [Revised: 11/25/2023] [Accepted: 12/13/2023] [Indexed: 01/21/2024] Open
Abstract
Fragments derived from small RNAs such as small nucleolar RNAs are biologically relevant but remain poorly understood. To address this gap, we developed sRNAfrag, a modular and interoperable tool designed to standardize the quantification and analysis of small RNA fragmentation across various biotypes. The tool outputs a set of tables forming a relational database, allowing for an in-depth exploration of biologically complex events such as multi-mapping and RNA fragment stability across different cell types. In a benchmark test, sRNAfrag was able to identify established loci of mature microRNAs solely based on sequencing data. Furthermore, the 5' seed sequence could be rediscovered by utilizing a visualization approach primarily applied in multi-sequence-alignments. Utilizing the relational database outputs, we detected 1411 snoRNA fragment conservation events between two out of four eukaryotic species, providing an opportunity to explore motifs through evolutionary time and conserved fragmentation patterns. Additionally, the tool's interoperability with other bioinformatics tools like ViennaRNA amplifies its utility for customized analyses. We also introduce a novel loci-level variance-score which provides insights into the noise around peaks and demonstrates biological relevance by distinctly separating breast cancer and neuroblastoma cell lines after dimension reduction when applied to small nucleolar RNAs. Overall, sRNAfrag serves as a versatile foundation for advancing our understanding of small RNA fragments and offers a functional foundation to further small RNA research. Availability: https://github.com/kenminsoo/sRNAfrag.
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Affiliation(s)
- Ken Nakatsu
- Emory College of Arts and Sciences, Emory University, 201 Dowman Dr, 30322, Georgia, United States of America
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, 96813, Hawaii, United States of America
| | - Mayumi Jijiwa
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, 96813, Hawaii, United States of America
| | - Vedbar Khadka
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, 96813, Hawaii, United States of America
| | - Masaki Nasu
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, 96813, Hawaii, United States of America
| | - Youping Deng
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, 96813, Hawaii, United States of America
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13
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Dong W, Liu Y, Wang P, Ruan X, Liu L, Xue Y, Ma T, E T, Wang D, Yang C, Lin H, Song J, Liu X. U3 snoRNA-mediated degradation of ZBTB7A regulates aerobic glycolysis in isocitrate dehydrogenase 1 wild-type glioblastoma cells. CNS Neurosci Ther 2023; 29:2811-2825. [PMID: 37066523 PMCID: PMC10493654 DOI: 10.1111/cns.14218] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/11/2023] [Accepted: 04/01/2023] [Indexed: 04/18/2023] Open
Abstract
AIMS The isocitrate dehydrogenase (IDH) phenotype is associated with reprogrammed energy metabolism in glioblastoma (GBM) cells. Small nucleolar RNAs (snoRNAs) are known to exert an important regulatory role in the energy metabolism of tumor cells. The purpose of this study was to investigate the role of C/D box snoRNA U3 and transcription factor zinc finger and BTB domain-containing 7A (ZBTB7A) in the regulation of aerobic glycolysis and the proliferative capacity of IDH1 wild-type (IDH1WT ) GBM cells. METHODS Quantitative reverse transcription PCR and western blot assays were utilized to detect snoRNA U3 and ZBTB7A expression. U3 promoter methylation status was analyzed via bisulfite sequencing and methylation-specific PCR. Seahorse XF glycolysis stress assays, lactate production and glucose consumption measurement assays, and cell viability assays were utilized to detect glycolysis and proliferation of IDH1WT GBM cells. RESULTS We found that hypomethylation of the CpG island in the promoter region of U3 led to the upregulation of U3 expression in IDH1WT GBM cells, and the knockdown of U3 suppressed aerobic glycolysis and the proliferation ability of IDH1WT GBM cells. We found that small nucleolar-derived RNA (sdRNA) U3-miR, a small fragment produced by U3, was able to bind to the ZBTB4 3'UTR region and reduce ZBTB7A mRNA stability, thereby downregulating ZBTB7A protein expression. Furthermore, ZBTB7A transcriptionally inhibited the expression of hexokinase 2 (HK2) and lactate dehydrogenase A (LDHA), which are key enzymes of aerobic glycolysis, by directly binding to the HK2 and LDHA promoter regions, thereby forming the U3/ZBTB7A/HK2 LDHA pathway that regulates aerobic glycolysis and proliferation of IDH1WT GBM cells. CONCLUSION U3 enhances aerobic glycolysis and proliferation in IDH1WT GBM cells via the U3/ZBTB7A/HK2 LDHA axis.
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Affiliation(s)
- Weiwei Dong
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Yunhui Liu
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Ping Wang
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
| | - Xuelei Ruan
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
| | - Libo Liu
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
| | - Yixue Xue
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
| | - Teng Ma
- Department of Neurobiology, School of Life SciencesChina Medical UniversityShenyangChina
| | - Tiange E
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Di Wang
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Chunqing Yang
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Hongda Lin
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Jian Song
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
| | - Xiaobai Liu
- Department of NeurosurgeryShengjing Hospital of China Medical UniversityShenyangChina
- Key Laboratory of Neuro‐oncology in Liaoning ProvinceShenyangChina
- Liaoning Medical Surgery and Rehabilitation Robot Technology Engineering Research CenterShenyangChina
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14
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Häfner SJ, Jansson MD, Altinel K, Andersen KL, Abay-Nørgaard Z, Ménard P, Fontenas M, Sørensen DM, Gay DM, Arendrup FS, Tehler D, Krogh N, Nielsen H, Kraushar ML, Kirkeby A, Lund AH. Ribosomal RNA 2'-O-methylation dynamics impact cell fate decisions. Dev Cell 2023; 58:1593-1609.e9. [PMID: 37473757 DOI: 10.1016/j.devcel.2023.06.007] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/16/2023] [Accepted: 06/26/2023] [Indexed: 07/22/2023]
Abstract
Translational regulation impacts both pluripotency maintenance and cell differentiation. To what degree the ribosome exerts control over this process remains unanswered. Accumulating evidence has demonstrated heterogeneity in ribosome composition in various organisms. 2'-O-methylation (2'-O-me) of rRNA represents an important source of heterogeneity, where site-specific alteration of methylation levels can modulate translation. Here, we examine changes in rRNA 2'-O-me during mouse brain development and tri-lineage differentiation of human embryonic stem cells (hESCs). We find distinct alterations between brain regions, as well as clear dynamics during cortex development and germ layer differentiation. We identify a methylation site impacting neuronal differentiation. Modulation of its methylation levels affects ribosome association of the fragile X mental retardation protein (FMRP) and is accompanied by an altered translation of WNT pathway-related mRNAs. Together, these data identify ribosome heterogeneity through rRNA 2'-O-me during early development and differentiation and suggest a direct role for ribosomes in regulating translation during cell fate acquisition.
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Affiliation(s)
- Sophia J Häfner
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
| | - Martin D Jansson
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kübra Altinel
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Kasper L Andersen
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Zehra Abay-Nørgaard
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW) and Department of Neuroscience, Faculty of Health and Medical Science, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Patrice Ménard
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Martin Fontenas
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Daniel M Sørensen
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - David M Gay
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Frederic S Arendrup
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Disa Tehler
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Nicolai Krogh
- Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Henrik Nielsen
- Department of Cellular and Molecular Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | | | - Agnete Kirkeby
- Novo Nordisk Foundation Center for Stem Cell Medicine (reNEW) and Department of Neuroscience, Faculty of Health and Medical Science, University of Copenhagen, 2200 Copenhagen, Denmark; Wallenberg Center for Molecular Medicine, Department of Experimental Medical Science, Lund University, 22184 Lund, Sweden
| | - Anders H Lund
- Biotech Research and Innovation Centre, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
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15
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Nakatsu K, Jijiwa M, Khadka V, Nasu M, Huo M, Deng Y. sRNAfrag: A pipeline and suite of tools to analyze fragmentation in small RNA sequencing data. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.19.553943. [PMID: 37662282 PMCID: PMC10473647 DOI: 10.1101/2023.08.19.553943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Fragments derived from small RNAs such as small nucleolar RNAs hold biological relevance. However, they remain poorly understood, calling for more comprehensive methods for analysis. We developed sRNAfrag, a standardized workflow and set of scripts to quantify and analyze sRNA fragmentation of any biotype. In a benchmark, it is able to detect loci of mature microRNAs fragmented from precursors and, utilizing multi-mapping events, the conserved 5' seed sequence of miRNAs which we believe may extraoplate to other small RNA fragments. The tool detected 1411 snoRNA fragment conservation events between 2/4 eukaryotic species, providing the opportunity to explore motifs and fragmentation patterns not only within species, but between. Availability: https://github.com/kenminsoo/sRNAfrag.
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Affiliation(s)
- Ken Nakatsu
- Emory College of Arts and Sciences, Emory University, 201 Dowman Dr, Atlanta, 30322, Georgia, United States of America
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America
| | - Mayumi Jijiwa
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America
| | - Vedbar Khadka
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America
| | - Masaki Nasu
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America
| | - Matthew Huo
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America
- Krieger School of Arts and Sciences, Johns Hopkins University, 3400 N Charles St, Baltimore, 21218, Maryland, United States of America
| | - Youping Deng
- Department of Quantitative Health Sciences, University of Hawaii John A. Burns School of Medicine, 651 Ilalo St, Honolulu, 96813, Hawaii, United States of America
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16
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Zhen N, Zhu J, Mao S, Zhang Q, Gu S, Ma J, Zhang Y, Yin M, Li H, Huang N, Wu H, Sun F, Ying B, Zhou L, Pan Q. Alternative Splicing of lncRNAs From SNHG Family Alters snoRNA Expression and Induces Chemoresistance in Hepatoblastoma. Cell Mol Gastroenterol Hepatol 2023; 16:735-755. [PMID: 37478905 PMCID: PMC10520360 DOI: 10.1016/j.jcmgh.2023.07.007] [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: 09/23/2022] [Revised: 07/13/2023] [Accepted: 07/14/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND & AIMS Hepatoblastoma (HB) is a common pediatric malignant liver tumor that is characterized by a low level of genetic mutations. Alternative splicing (AS) has been shown to be closely associated with cancer progression, especially in tumors with a low mutational burden. However, the role of AS in HB remains unknown. METHODS Transcriptome sequencing was performed on 5 pairs of HB tissues and matched non-tumor tissues to delineate the AS landscape in HB. AS events were validated in 92 samples from 46 patients. RNA pull-down and RNA immunoprecipitation assays were carried out to identify splicing factors that regulate the AS of small nucleolar RNA host genes (SNHG). Patient-derived organoids (PDOs) were established to investigate the role of the splicing factor polyadenylate-binding nuclear protein 1 (PABPN1). RESULTS This study uncovered aberrant alternative splicing in HB, including lncRNAs from SNHG family that undergo intron retention in HB. Further investigations revealed that PABPN1, a significantly upregulated RNA binding protein, interacts with splicing machinery in HB, inducing the intron retention of these SNHG RNAs and the downregulation of intronic small nucleolar RNAs (snoRNAs). Functionally, PABPN1 acts as an oncofetal splicing regulator in HB by promoting cell proliferation and DNA damage repair via inducing the intron retention of SNHG19. Knock-down of PABPN1 increases the cisplatin sensitivity of HB PDOs. CONCLUSIONS Our findings revealed the role of intron retention in regulating snoRNA expression in hepatoblastoma, explained detailed regulatory mechanism between PABPN1 and the intron retention of SNHG RNAs, and provided insight into the development of new HB treatment options.
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Affiliation(s)
- Ni Zhen
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Jiabei Zhu
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Siwei Mao
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Qi Zhang
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Song Gu
- Department of Surgery, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Ji Ma
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yue Zhang
- Department of Central Laboratory, Clinical Medicine Scientific and Technical Innovation Park, Shanghai Tenth People's Hospital, Shanghai, China
| | - Minzhi Yin
- Department of Pathology, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Haojie Li
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China
| | - Nan Huang
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China
| | - Han Wu
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Fenyong Sun
- Department of Laboratory Medicine, Shanghai Tenth People's Hospital of Tongji University, Shanghai, China.
| | - Binwu Ying
- Department of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Lin Zhou
- Department of Laboratory Medicine, Changzheng Hospital, Naval Medical University, Shanghai, China.
| | - Qiuhui Pan
- Department of Laboratory Medicine, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China; Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai, China; Sanya Women and Children's Hospital Managed by Shanghai Children's Medical Center, Hainan, China.
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17
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Xiong Q, Zhang Y. Small RNA modifications: regulatory molecules and potential applications. J Hematol Oncol 2023; 16:64. [PMID: 37349851 PMCID: PMC10286502 DOI: 10.1186/s13045-023-01466-w] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 06/14/2023] [Indexed: 06/24/2023] Open
Abstract
Small RNAs (also referred to as small noncoding RNAs, sncRNA) are defined as polymeric ribonucleic acid molecules that are less than 200 nucleotides in length and serve a variety of essential functions within cells. Small RNA species include microRNA (miRNA), PIWI-interacting RNA (piRNA), small interfering RNA (siRNA), tRNA-derived small RNA (tsRNA), etc. Current evidence suggest that small RNAs can also have diverse modifications to their nucleotide composition that affect their stability as well as their capacity for nuclear export, and these modifications are relevant to their capacity to drive molecular signaling processes relevant to biogenesis, cell proliferation and differentiation. In this review, we highlight the molecular characteristics and cellular functions of small RNA and their modifications, as well as current techniques for their reliable detection. We also discuss how small RNA modifications may be relevant to the clinical applications for the diagnosis and treatment of human health conditions such as cancer.
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Affiliation(s)
- Qunli Xiong
- State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics and Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
- Abdominal Oncology Ward, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yaguang Zhang
- State Key Laboratory of Biotherapy and Cancer Center, National Clinical Research Center for Geriatrics and Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
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18
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Challakkara MF, Chhabra R. snoRNAs in hematopoiesis and blood malignancies: A comprehensive review. J Cell Physiol 2023; 238:1207-1225. [PMID: 37183323 DOI: 10.1002/jcp.31032] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/29/2023] [Accepted: 04/04/2023] [Indexed: 05/16/2023]
Abstract
Small nucleolar RNAs (snoRNAs) are noncoding RNA molecules of highly variable size, usually ranging from 60 to 150 nucleotides. They are classified into H/ACA box snoRNAs, C/D box snoRNAs, and scaRNAs. Their functional profile includes biogenesis of ribosomes, processing of rRNAs, 2'-O-methylation and pseudouridylation of RNAs, alternative splicing and processing of mRNAs and the generation of small RNA molecules like miRNA. The snoRNAs have been observed to have an important role in hematopoiesis and malignant hematopoietic conditions including leukemia, lymphoma, and multiple myeloma. Blood malignancies arise in immune system cells or the bone marrow due to chromosome abnormalities. It has been estimated that annually over 1.25 million cases of blood cancer occur worldwide. The snoRNAs often show a differential expression profile in blood malignancies. Recent reports associate the abnormal expression of snoRNAs with the inhibition of apoptosis, uncontrolled cell proliferation, angiogenesis, and metastasis. This implies that targeting snoRNAs could be a potential way to treat hematologic malignancies. In this review, we describe the various functions of snoRNAs, their role in hematopoiesis, and the consequences of their dysregulation in blood malignancies. We also evaluate the potential of the dysregulated snoRNAs as biomarkers and therapeutic targets for blood malignancies.
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Affiliation(s)
- Mohamed Fahad Challakkara
- Department of Biochemistry, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab, India
| | - Ravindresh Chhabra
- Department of Biochemistry, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab, India
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19
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The emerging diagnostic and therapeutic roles of small nucleolar RNAs in lung diseases. Biomed Pharmacother 2023; 161:114519. [PMID: 36906975 DOI: 10.1016/j.biopha.2023.114519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 03/09/2023] [Accepted: 03/09/2023] [Indexed: 03/12/2023] Open
Abstract
Small nucleolar RNAs (snoRNAs) are non-coding RNA molecules that range from 60 to 300 nucleotides in length and are primarily located in the nucleoli of cells. They play a critical role in modifying ribosomal RNA and can also regulate alternative splicing and posttranscriptional modification of mRNA. Alterations in snoRNA expression can affect numerous cellular processes, including cell proliferation, apoptosis, angiogenesis, fibrosis, and inflammation, making them a promising target for diagnostics and treatment of various human pathologies. Recent evidence suggests that abnormal snoRNA expression is strongly associated with the development and progression of several lung diseases, such as lung cancer, asthma, chronic obstructive pulmonary disease, and pulmonary hypertension, as well as COVID-19. While few studies have shown a causal relationship between snoRNA expression and disease onset, this research field presents exciting opportunities for identifying new biomarkers and therapeutic targets in lung disease. This review discusses the emerging role and molecular mechanisms of snoRNAs in the pathogenesis of lung diseases, focusing on research opportunities, clinical studies, biomarkers, and therapeutic potential.
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20
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Godang NL, DeMeis JD, Houserova D, Chaudhary NY, Salter CJ, Xi Y, McDonald OG, Borchert GM. Global Switch from DICER-dependent MicroRNA to DICER-independent SnoRNA-derived RNA Biogenesis in Malignancy. MICROPUBLICATION BIOLOGY 2023; 2023:10.17912/micropub.biology.000725. [PMID: 36818311 PMCID: PMC9936325 DOI: 10.17912/micropub.biology.000725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Revised: 01/25/2023] [Accepted: 01/31/2023] [Indexed: 02/24/2023]
Abstract
SnoRNAs are frequently processed into snoRNA-derived RNAs (sdRNAs) that function much like traditional microRNAs (miRNAs). That said, our analyses suggest a global switch from DICER-dependent (predominately miRNA) to DICER-independent (predominately sdRNA) biogenesis/gene regulation in colon cancer. Whereas the expressions of 259 of 288 appreciably expressed miRNAs are significantly decreased (avg. 6.4% of WT) in human colon cancer DICER-KOs, 95 of 103 sdRNAs are conversely, significantly increased (avg. 679.3%) in DICER-KOs as compared to WT. As many diseases are characterized by DICER deficiency, this putative global switch to DICER-independent sdRNA regulations may contribute to an array of human diseases.
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Affiliation(s)
- Noel L Godang
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL USA
| | - Jeffrey D DeMeis
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL USA
| | - Dominika Houserova
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL USA
| | - Neil Y Chaudhary
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL USA
| | - Carly J Salter
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL USA
| | - Yaguang Xi
- Department of Genetics, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA USA
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA USA
| | - Oliver G McDonald
- Department of Pathology, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL USA
| | - Glen M Borchert
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL USA
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21
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Wolfram-Schauerte M, Höfer K. NAD-capped RNAs - a redox cofactor meets RNA. Trends Biochem Sci 2023; 48:142-155. [PMID: 36068130 DOI: 10.1016/j.tibs.2022.08.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/03/2022] [Accepted: 08/04/2022] [Indexed: 01/25/2023]
Abstract
RNA modifications immensely expand the diversity of the transcriptome, thereby influencing the function, localization, and stability of RNA. One prominent example of an RNA modification is the eukaryotic cap located at the 5' terminus of mRNAs. Interestingly, the redox cofactor NAD can be incorporated into RNA by RNA polymerase in vitro. The existence of NAD-modified RNAs in vivo was confirmed using liquid chromatography and mass spectrometry (LC-MS). In the past few years novel technologies and methods have characterized NAD as a cap-like RNA structure and enabled the investigation of NAD-capped RNAs (NAD-RNAs) in a physiological context. We highlight the identification of NAD-RNAs as well as the regulation and functions of this epitranscriptomic mark in all domains of life.
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Affiliation(s)
| | - Katharina Höfer
- Max-Planck-Institute for Terrestrial Microbiology, Marburg, 35043, Hessen, Germany.
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22
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Webster SF, Ghalei H. Maturation of small nucleolar RNAs: from production to function. RNA Biol 2023; 20:715-736. [PMID: 37796118 PMCID: PMC10557570 DOI: 10.1080/15476286.2023.2254540] [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] [Accepted: 08/28/2023] [Indexed: 10/06/2023] Open
Abstract
Small Nucleolar RNAs (snoRNAs) are an abundant group of non-coding RNAs with well-defined roles in ribosomal RNA processing, folding and chemical modification. Besides their classic roles in ribosome biogenesis, snoRNAs are also implicated in several other cellular activities including regulation of splicing, transcription, RNA editing, cellular trafficking, and miRNA-like functions. Mature snoRNAs must undergo a series of processing steps tightly regulated by transiently associating factors and coordinated with other cellular processes including transcription and splicing. In addition to their mature forms, snoRNAs can contribute to gene expression regulation through their derivatives and degradation products. Here, we review the current knowledge on mechanisms of snoRNA maturation, including the different pathways of processing, and the regulatory mechanisms that control snoRNA levels and complex assembly. We also discuss the significance of studying snoRNA maturation, highlight the gaps in the current knowledge and suggest directions for future research in this area.
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Affiliation(s)
- Sarah F. Webster
- Biochemistry, Cell, and Developmental Biology Graduate Program, Emory University, Atlanta, Georgia, USA
- Department of Biochemistry, Emory University, Atlanta, Georgia, USA
| | - Homa Ghalei
- Department of Biochemistry, Emory University, Atlanta, Georgia, USA
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23
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Analysis of Expression Pattern of snoRNAs in Human Cells A549 Infected by Influenza A Virus. Int J Mol Sci 2022; 23:ijms232213666. [PMID: 36430145 PMCID: PMC9696202 DOI: 10.3390/ijms232213666] [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: 08/15/2022] [Revised: 10/20/2022] [Accepted: 10/29/2022] [Indexed: 11/09/2022] Open
Abstract
Small nucleolar RNAs (snoRNAs) are a highly expressed class of non-coding RNAs known for their role in guiding post-transcriptional modifications of ribosomal RNAs and small nuclear RNAs. Emerging studies suggest that snoRNAs are also implicated in regulating other vital cellular processes, such as pre-mRNA splicing and 3'-processing of mRNAs, and in the development of cancer and viral infections. There is an emerging body of evidence for specific snoRNA's involvement in the optimal replication of RNA viruses. In order to investigate the expression pattern of snoRNAs during influenza A viral infection, we performed RNA sequencing analysis of the A549 human cell line infected by influenza virus A/Puerto Rico/8/1934 (H1N1). We identified 66 that were upregulated and 55 that were downregulated in response to influenza A virus infection. The increased expression of most C/D-box snoRNAs was associated with elevated levels of 5'- and 3'-short RNAs derived from this snoRNA. Analysis of the poly(A)+ RNA sequencing data indicated that most of the differentially expressed snoRNAs synthesis was not correlated with the corresponding host genes expression. Furthermore, influenza A viral infection led to an imbalance in the expression of genes responsible for C/D small nucleolar ribonucleoprotein particles' biogenesis. In summary, our results indicate that the expression pattern of snoRNAs in A549 cells is significantly altered during influenza A viral infection.
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Chen S, Li QH, Chen X, Bao HJ, Wu W, Shen F, Lu BF, Jiang RQ, Zong ZH, Zhao Y. SNORA70E promotes the occurrence and development of ovarian cancer through pseudouridylation modification of RAP1B and alternative splicing of PARPBP. J Cell Mol Med 2022; 26:5150-5164. [PMID: 36056690 PMCID: PMC9575132 DOI: 10.1111/jcmm.17540] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 08/03/2022] [Accepted: 08/26/2022] [Indexed: 11/27/2022] Open
Abstract
The present study demonstrated for the first time that SNORA70E, which belongs to box H/ACA small nucleolar noncoding RNAs (snoRNAs) who could bind and induce pseudouridylation of RNAs, was significantly elevated in ovarian cancer tissues and was an unfavourable prognostic factor of ovarian cancer. The over‐expression of SNORA70E showed increased cell proliferation, invasion and migration in vitro and induced tumour growth in vivo. Further research found that SNORA70E regulates RAS‐Related Protein 1B (RAP1B) mRNA through pseudouracil modification by combing with the pyrimidine synthase Dyskerin Pseudouridine Synthase 1 (DKC1) and increase RAP1B protein level. What's more, the silencing of DKC1/RAP1B in SNORA70E overexpression cells both inhibited cell proliferation, migration and invasion through reducing β‐catenin, PI3K, AKT1, mTOR, and MMP9 protein levels. Besides, RNA‐Seq results revealed that SNORA70E regulates the alternative splicing of PARP‐1 binding protein (PARPBP), leading to the 4th exon‐skipping in PARPBP‐88, forming a new transcript PARPBP‐15, which promoted cell invasion, migration and proliferation. Finally, ASO‐mediated silencing of SNORA70E could inhibit ovarian cancer cell proliferation, invasion, migration ability in vitro and inhibit tumorigenicity in vivo. In conclusion, SNORA70E promotes the occurrence and development of ovarian cancer through pseudouridylation modification of RAP1B and alternative splicing of PARPBP. Our results demonstrated that SNORA70E may be a new diagnostic and therapeutic target for ovarian cancer.
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Affiliation(s)
- Shuo Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qian-Hui Li
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xi Chen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Hai-Juan Bao
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Wu Wu
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fan Shen
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Bing-Feng Lu
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ru-Qi Jiang
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhi-Hong Zong
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yang Zhao
- Department of Obstetrics and Gynecology, Department of Gynecologic Oncology Research Office, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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25
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A critical update on the strategies towards small molecule inhibitors targeting Serine/arginine-rich (SR) proteins and Serine/arginine-rich proteins related kinases in alternative splicing. Bioorg Med Chem 2022; 70:116921. [PMID: 35863237 DOI: 10.1016/j.bmc.2022.116921] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/01/2022] [Accepted: 07/06/2022] [Indexed: 11/02/2022]
Abstract
>90% of genes in the human body undergo alternative splicing (AS) after transcription, which enriches protein species and regulates protein levels. However, there is growing evidence that various genetic isoforms resulting from dysregulated alternative splicing are prevalent in various types of cancers. Dysregulated alternative splicing leads to cancer generation and maintenance of cancer properties such as proliferation differentiation, apoptosis inhibition, invasion metastasis, and angiogenesis. Serine/arginine-rich proteins and SR protein-associated kinases mediate splice site recognition and splice complex assembly during variable splicing. Based on the impact of dysregulated alternative splicing on disease onset and progression, the search for small molecule inhibitors targeting alternative splicing is imminent. In this review, we discuss the structure and specific biological functions of SR proteins and describe the regulation of SR protein function by SR protein related kinases meticulously, which are closely related to the occurrence and development of various types of cancers. On this basis, we summarize the reported small molecule inhibitors targeting SR proteins and SR protein related kinases from the perspective of medicinal chemistry. We mainly categorize small molecule inhibitors from four aspects, including targeting SR proteins, targeting Serine/arginine-rich protein-specific kinases (SRPKs), targeting Cdc2-like kinases (CLKs) and targeting dual-specificity tyrosine-regulated kinases (DYRKs), in terms of structure, inhibition target, specific mechanism of action, biological activity, and applicable diseases. With this review, we are expected to provide a timely summary of recent advances in alternative splicing regulated by kinases and a preliminary introduction to relevant small molecule inhibitors.
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26
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Dysregulation of Small Nucleolar RNAs in B-Cell Malignancies. Biomedicines 2022; 10:biomedicines10061229. [PMID: 35740251 PMCID: PMC9219770 DOI: 10.3390/biomedicines10061229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 01/17/2023] Open
Abstract
Small nucleolar RNAs (snoRNAs) are responsible for post-transcriptional modification of ribosomal RNAs, transfer RNAs and small nuclear RNAs, and thereby have important regulatory functions in mRNA splicing and protein translation. Several studies have shown that snoRNAs are dysregulated in human cancer and may play a role in cancer initiation and progression. In this review, we focus on the role of snoRNAs in normal and malignant B-cell development. SnoRNA activity appears to be essential for normal B-cell differentiation and dysregulated expression of sno-RNAs is determined in B-cell acute lymphoblastic leukemia, chronic lymphocytic leukemia, B-cell non-Hodgkin’s lymphoma, and plasma cell neoplasms. SnoRNA expression is associated with cytogenetic/molecular subgroups and clinical outcome in patients with B-cell malignancies. Translocations involving snoRNAs have been described as well. Here, we discuss the different aspects of snoRNAs in B-cell malignancies and report on their role in oncogenic transformation, which may be useful for the development of novel diagnostic biomarkers or therapeutic targets.
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27
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Li Y, Baptista RP, Mei X, Kissinger JC. Small and intermediate size structural RNAs in the unicellular parasite Cryptosporidium parvum as revealed by sRNA-seq and comparative genomics. Microb Genom 2022; 8. [PMID: 35536609 PMCID: PMC9465071 DOI: 10.1099/mgen.0.000821] [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: 12/03/2022] Open
Abstract
Small and intermediate-size noncoding RNAs (sRNAs and is-ncRNAs) have been shown to play important regulatory roles in the development of several eukaryotic organisms. However, they have not been thoroughly explored in Cryptosporidium parvum, an obligate zoonotic protist parasite responsible for the diarrhoeal disease cryptosporidiosis. Using Illumina sequencing of a small RNA library, a systematic identification of novel small and is-ncRNAs was performed in C. parvum excysted sporozoites. A total of 79 novel is-ncRNA candidates, including antisense, intergenic and intronic is-ncRNAs, were identified, including 7 new small nucleolar RNAs (snoRNAs). Expression of select novel is-ncRNAs was confirmed by RT-PCR. Phylogenetic conservation was analysed using covariance models (CMs) in related Cryptosporidium and apicomplexan parasite genome sequences. A potential new type of small ncRNA derived from tRNA fragments was observed. Overall, a deep profiling analysis of novel is-ncRNAs in C. parvum and related species revealed structural features and conservation of these novel is-ncRNAs. Covariance models can be used to detect is-ncRNA genes in other closely related parasites. These findings provide important new sequences for additional functional characterization of novel is-ncRNAs in the protist pathogen C. parvum.
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Affiliation(s)
- Yiran Li
- Institute of Bioinformatics, University of Georgia, Athens, GA, USA
| | - Rodrigo P Baptista
- Institute of Bioinformatics, University of Georgia, Athens, GA, USA.,Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.,Present address: Houston Methodist Research Institute, Houston, TX, USA
| | - Xiaohan Mei
- Department of Physiology and Pharmacology, University of Georgia, Athens, GA, USA
| | - Jessica C Kissinger
- Institute of Bioinformatics, University of Georgia, Athens, GA, USA.,Center for Tropical and Emerging Global Diseases, University of Georgia, Athens, GA, USA.,Department of Genetics, University of Georgia, Athens, GA, USA
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28
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Abstract
MicroRNAs (miRNAs) are key players in gene regulation that target specific mRNAs for degradation or translational repression. Each miRNA is synthesized as a miRNA duplex comprising two strands (5p and 3p). However, only one of the two strands becomes active and is selectively incorporated into the RNA-induced silencing complex in a process known as miRNA strand selection. Recently, significant progress has been made in understanding the factors and processes involved in strand selection. Here, we explore the selection and functionality of the miRNA star strand (either 5p or 3p), which is generally present in the cell at low levels compared to its partner strand and, historically, has been thought to possess no biological activity. We also highlight the concepts of miRNA arm switching and miRNA isomerism. Finally, we offer insights into the impact of aberrant strand selection on immunity and cancer. Leading us through this journey is miR-155, a well-established regulator of immunity and cancer, and the increasing evidence that its 3p strand plays a role in these arenas. Interestingly, the miR-155-5p/-3p ratio appears to vary dependent on the timing of the immune response, and the 3p strand seems to play a regulatory role upon its partner 5p strand.
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Affiliation(s)
- Owen Dawson
- School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, UK
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29
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Context-Dependent Regulation of Gene Expression by Non-Canonical Small RNAs. Noncoding RNA 2022; 8:ncrna8030029. [PMID: 35645336 PMCID: PMC9149963 DOI: 10.3390/ncrna8030029] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/27/2022] [Accepted: 04/28/2022] [Indexed: 12/02/2022] Open
Abstract
In recent functional genomics studies, a large number of non-coding RNAs have been identified. It has become increasingly apparent that noncoding RNAs are crucial players in a wide range of cellular and physiological functions. They have been shown to modulate gene expression on different levels, including transcription, post-transcriptional processing, and translation. This review aims to highlight the diverse mechanisms of the regulation of gene expression by small noncoding RNAs in different conditions and different types of human cells. For this purpose, various cellular functions of microRNAs (miRNAs), circular RNAs (circRNAs), snoRNA-derived small RNAs (sdRNAs) and tRNA-derived fragments (tRFs) will be exemplified, with particular emphasis on the diversity of their occurrence and on the effects on gene expression in different stress conditions and diseased cell types. The synthesis and effect on gene expression of these noncoding RNAs varies in different cell types and may depend on environmental conditions such as different stresses. Moreover, noncoding RNAs play important roles in many diseases, including cancer, neurodegenerative disorders, and viral infections.
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30
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Wilson B, Dutta A. Function and Therapeutic Implications of tRNA Derived Small RNAs. Front Mol Biosci 2022; 9:888424. [PMID: 35495621 PMCID: PMC9043108 DOI: 10.3389/fmolb.2022.888424] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 03/28/2022] [Indexed: 11/28/2022] Open
Abstract
tRNA derived small RNAs are mainly composed of tRNA fragments (tRFs) and tRNA halves (tiRs). Several functions have been attributed to tRFs and tiRs since their initial characterizations, spanning all aspects of regulation of the Central Dogma: from nascent RNA silencing, to post-transcriptional gene silencing, and finally, to translational regulation. The length distribution, sequence diversity, and multifaceted functions of tRFs and tiRs positions them as attractive new models for small RNA therapeutics. In this review, we will discuss the principles of tRF biogenesis and function in order to highlight their therapeutic potential.
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Affiliation(s)
- Briana Wilson
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, VA, United States
| | - Anindya Dutta
- Department of Genetics, University of Alabama, Birmingham, AL, United States
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31
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Coley AB, Stahly AN, Kasukurthi MV, Barchie AA, Hutcheson SB, Houserova D, Huang Y, Watters BC, King VM, Dean MA, Roberts JT, DeMeis JD, Amin KV, McInnis CH, Godang NL, Wright RM, Haider DF, Piracha NB, Brown CL, Ijaz ZM, Li S, Xi Y, McDonald OG, Huang J, Borchert GM. MicroRNA-like snoRNA-Derived RNAs (sdRNAs) Promote Castration-Resistant Prostate Cancer. Cells 2022; 11:1302. [PMID: 35455981 PMCID: PMC9032336 DOI: 10.3390/cells11081302] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 04/06/2022] [Accepted: 04/10/2022] [Indexed: 12/13/2022] Open
Abstract
We have identified 38 specifically excised, differentially expressed snoRNA fragments (sdRNAs) in TCGA prostate cancer (PCa) patient samples as compared to normal prostate controls. SnoRNA-derived fragments sdRNA-D19b and -A24 emerged among the most differentially expressed and were selected for further experimentation. We found that the overexpression of either sdRNA significantly increased PC3 (a well-established model of castration-resistant prostate cancer (CRPC)) cell proliferation, and that sdRNA-D19b overexpression also markedly increased the rate of PC3 cell migration. In addition, both sdRNAs provided drug-specific resistances with sdRNA-D19b levels correlating with paclitaxel resistance and sdRNA-24A conferring dasatinib resistance. In silico and in vitro analyses revealed that two established PCa tumor suppressor genes, CD44 and CDK12, represent targets for sdRNA-D19b and sdRNA-A24, respectively. This outlines a biologically coherent mechanism by which sdRNAs downregulate tumor suppressors in AR-PCa to enhance proliferative and metastatic capabilities and to encourage chemotherapeutic resistance. Aggressive proliferation, rampant metastasis, and recalcitrance to chemotherapy are core characteristics of CRPC that synergize to produce a pathology that ranks second in cancer-related deaths for men. This study defines sdRNA-D19b and -A24 as contributors to AR-PCa, potentially providing novel biomarkers and therapeutic targets of use in PCa clinical intervention.
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Affiliation(s)
- Alexander B. Coley
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Ashlyn N. Stahly
- Medical Scientist Training Program, University of Colorado School of Medicine, Aurora, CO 80045, USA;
| | - Mohan V. Kasukurthi
- School of Computing, University of South Alabama, Mobile, AL 36608, USA; (M.V.K.); (S.L.); (J.H.)
| | - Addison A. Barchie
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Sam B. Hutcheson
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Dominika Houserova
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Yulong Huang
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Brianna C. Watters
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Valeria M. King
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
- Department of Molecular and Cell Biology, University of California Berkeley, Berkeley, CA 94720, USA
| | - Meghan A. Dean
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Justin T. Roberts
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Jeffrey D. DeMeis
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Krisha V. Amin
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Cameron H. McInnis
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Noel L. Godang
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Ryan M. Wright
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - David F. Haider
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Neha B. Piracha
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- Department of Biology, University of South Alabama, Mobile, AL 36608, USA;
| | - Cana L. Brown
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Zohaib M. Ijaz
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
| | - Shengyu Li
- School of Computing, University of South Alabama, Mobile, AL 36608, USA; (M.V.K.); (S.L.); (J.H.)
| | - Yaguang Xi
- Department of Genetics, School of Medicine, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA;
- Stanley S. Scott Cancer Center, Louisiana State University Health Sciences Center, New Orleans, LA 70112, USA
| | - Oliver G. McDonald
- Department of Pathology, Sylvester Comprehensive Cancer Center, University of Miami, Miami, FL 33146, USA;
| | - Jingshan Huang
- School of Computing, University of South Alabama, Mobile, AL 36608, USA; (M.V.K.); (S.L.); (J.H.)
| | - Glen M. Borchert
- Department of Pharmacology, College of Medicine, University of South Alabama, Mobile, AL 36608, USA; (A.B.C.); (A.A.B.); (S.B.H.); (D.H.); (Y.H.); (B.C.W.); (M.A.D.); (J.T.R.); (J.D.D.); (K.V.A.); (C.H.M.); (N.L.G.); (R.M.W.); (D.F.H.); (N.B.P.); (C.L.B.); (Z.M.I.)
- School of Computing, University of South Alabama, Mobile, AL 36608, USA; (M.V.K.); (S.L.); (J.H.)
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Pavic K, Chippalkatti R, Abankwa D. Drug targeting opportunities en route to Ras nanoclusters. Adv Cancer Res 2022; 153:63-99. [PMID: 35101236 DOI: 10.1016/bs.acr.2021.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Disruption of the native membrane organization of Ras by the farnesyltransferase inhibitor tipifarnib in the late 1990s constituted the first indirect approach to drug target Ras. Since then, our understanding of how dynamically Ras shuttles between subcellular locations has changed significantly. Ras proteins have to arrive at the plasma membrane for efficient MAPK-signal propagation. On the plasma membrane Ras proteins are organized into isoform specific proteo-lipid assemblies called nanocluster. Recent evidence suggests that Ras nanocluster have a specific lipid composition, which supports the recruitment of effectors such as Raf. Conversely, effectors possess lipid-recognition motifs, which appear to serve as co-incidence detectors for the lipid domain of a given Ras isoform. Evidence suggests that dimeric Raf proteins then co-assemble dimeric Ras in an immobile complex, thus forming the minimal unit of an active nanocluster. Here we review established and novel trafficking chaperones and trafficking factors of Ras, along with the set of lipid and protein modulators of Ras nanoclustering. We highlight drug targeting approaches and opportunities against these determinants of functional Ras membrane organization. Finally, we reflect on implications for Ras signaling in polarized cells, such as epithelia, which are a common origin of tumorigenesis.
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Affiliation(s)
- Karolina Pavic
- Cancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Rohan Chippalkatti
- Cancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg
| | - Daniel Abankwa
- Cancer Cell Biology and Drug Discovery Group, Department of Life Sciences and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
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Diamantopoulos MA, Georgoulia KK, Scorilas A. Identification and expression analysis of ten novel small non-coding RNAs (sncRNAs) in cancer cells using a high-throughput sequencing approach. Gene 2022; 809:146025. [PMID: 34710527 DOI: 10.1016/j.gene.2021.146025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 09/13/2021] [Accepted: 10/14/2021] [Indexed: 01/18/2023]
Abstract
Non-coding RNAs are characterized as RNA molecules, which lack the capacity to encode protein structures and appear to include a level of internal signals. Moreover, they control various stages of gene expression, thus controlling the cell physiology and development. In this study, we implemented a high-throughput sequencing approach based on the primary semi-conductor technology and computational tools, in order to identity novel small non-coding RNAs. Fourteen human cancer cell lines were cultured, and RNA samples were enriched for small RNAs following semi-conductor next generation sequencing (NGS). Bioinformatics analysis of NGS data revealed the existence of several classes of ncRNAs using the miRDeep* and CPSS 2.0 software. To investigate the existence of the predicted non-coding RNA sequences in cDNA pools of cell lines, a developed qPCR-based assay was implemented. The structure of each novel small ncRNA was visualized, using the RNAfold algorithm. Our results support the existence of twenty (20) putative new small ncRNAs, ten (10) of which have had their expression experimentally validated and presented differential profiles in cancerous and normal cells. A deeper comprehension of the ncRNAs interactive network and its role in cancer can therefore be translated into a wide range of clinical applications. Despite this progress, further scientific research from different perspectives and in different fields is needed, so that the riddle of the human transcriptome can be solved.
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Affiliation(s)
- Marios A Diamantopoulos
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Greece
| | - Konstantina K Georgoulia
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Greece
| | - Andreas Scorilas
- Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Greece
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Hita A, Brocart G, Fernandez A, Rehmsmeier M, Alemany A, Schvartzman S. MGcount: a total RNA-seq quantification tool to address multi-mapping and multi-overlapping alignments ambiguity in non-coding transcripts. BMC Bioinformatics 2022; 23:39. [PMID: 35030988 PMCID: PMC8760670 DOI: 10.1186/s12859-021-04544-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 12/20/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Total-RNA sequencing (total-RNA-seq) allows the simultaneous study of both the coding and the non-coding transcriptome. Yet, computational pipelines have traditionally focused on particular biotypes, making assumptions that are not fullfilled by total-RNA-seq datasets. Transcripts from distinct RNA biotypes vary in length, biogenesis, and function, can overlap in a genomic region, and may be present in the genome with a high copy number. Consequently, reads from total-RNA-seq libraries may cause ambiguous genomic alignments, demanding for flexible quantification approaches. RESULTS Here we present Multi-Graph count (MGcount), a total-RNA-seq quantification tool combining two strategies for handling ambiguous alignments. First, MGcount assigns reads hierarchically to small-RNA and long-RNA features to account for length disparity when transcripts overlap in the same genomic position. Next, MGcount aggregates RNA products with similar sequences where reads systematically multi-map using a graph-based approach. MGcount outputs a transcriptomic count matrix compatible with RNA-sequencing downstream analysis pipelines, with both bulk and single-cell resolution, and the graphs that model repeated transcript structures for different biotypes. The software can be used as a python module or as a single-file executable program. CONCLUSIONS MGcount is a flexible total-RNA-seq quantification tool that successfully integrates reads that align to multiple genomic locations or that overlap with multiple gene features. Its approach is suitable for the simultaneous estimation of protein-coding, long non-coding and small non-coding transcript concentration, in both precursor and processed forms. Both source code and compiled software are available at https://github.com/hitaandrea/MGcount .
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Affiliation(s)
- Andrea Hita
- Epigenetics unit, Diagenode s.a., Liège, Belgium
- Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany
| | | | - Ana Fernandez
- Epigenetics unit, Diagenode s.a., Liège, Belgium
- Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Marc Rehmsmeier
- Department of Biology, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Anna Alemany
- Department of Anatomy and Embryology, Leiden University Medical Centre, Leiden, The Netherlands
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Jafari-Oliayi A, Dabiri S, Hossein Asadi M. LncRNA SNHG6 Silencing Could Arrest Progression of High Grade Colorectal Cancers. IRANIAN JOURNAL OF PATHOLOGY 2021; 17:29-36. [PMID: 35096086 PMCID: PMC8794560 DOI: 10.30699/ijp.2021.527781.2610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 07/30/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND & OBJECTIVE Colorectal cancer (CRC), like other cancers, needs faster and more accurate identifications. A well-timed prognosis of CRC could be an important turning point in the survival of patients. Supplementary signs, such as long non-coding RNAs (lncRNAs), could be helpful for this purpose. A new possible biomarker for CRC identification is introduced by this study. METHODS RNA extraction was performed by the RNX-Plus solution for 64 tumor and non-tumor tissues. Complementary DNAs (cDNAs) were synthesized, and quantitative real-time PCR was performed for relative expression level measurement and the data was analyzed statistically using the Prism 6 software. For Small nucleolar host gene 6 knockdown, siRNA was designed based on Reynolds rules. The cells were cultured in their appropriate media, and the siRNA-lipofectamine complex was formed. The transfection complex was presented for sw48, sw480, and sw1116 as CRC cells with different grades. After transfection, the SNHG6/β actin ratio was determined. Then, the distribution of siRNA-treated cells was determined by the Partec flow cytometer instrument and analyzed by the FloMax software. RESULTS SNHG6 was more expressed in CRC tumors than non-tumor tissues. In tumor tissues, SNHG6 upregulation and tumors' grade progression were concurrent. SNHG6 was upregulated in cases with lymphovascular invasion than in cases with perineural invasion. The knockdown of SNHG6 conduced to G1 arrest in CRC cells, more noticeably in high-grade ones. CONCLUSION SNHG6 could be applied as a consideration to differentiate tumor and non-tumor tissues and grade definition in colorectal malignancies, and it could participate in colorectal tumor formation as a cell cycle progressive factor.
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Affiliation(s)
- Amin Jafari-Oliayi
- Pathology and Stem Cell Research Center, Department of Pathology, Afzalipour Medical School, Kerman University of Medical Sciences, Kerman, Iran
| | - Shahriar Dabiri
- Pathology and Stem Cell Research Center, Department of Pathology, Afzalipour Medical School, Kerman University of Medical Sciences, Kerman, Iran
| | - Malek Hossein Asadi
- Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology Kerman, Iran
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Micheel J, Safrastyan A, Wollny D. Advances in Non-Coding RNA Sequencing. Noncoding RNA 2021; 7:70. [PMID: 34842804 PMCID: PMC8628893 DOI: 10.3390/ncrna7040070] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/22/2021] [Accepted: 10/26/2021] [Indexed: 12/11/2022] Open
Abstract
Non-coding RNAs (ncRNAs) comprise a set of abundant and functionally diverse RNA molecules. Since the discovery of the first ncRNA in the 1960s, ncRNAs have been shown to be involved in nearly all steps of the central dogma of molecular biology. In recent years, the pace of discovery of novel ncRNAs and their cellular roles has been greatly accelerated by high-throughput sequencing. Advances in sequencing technology, library preparation protocols as well as computational biology helped to greatly expand our knowledge of which ncRNAs exist throughout the kingdoms of life. Moreover, RNA sequencing revealed crucial roles of many ncRNAs in human health and disease. In this review, we discuss the most recent methodological advancements in the rapidly evolving field of high-throughput sequencing and how it has greatly expanded our understanding of ncRNA biology across a large number of different organisms.
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Affiliation(s)
| | | | - Damian Wollny
- RNA Bioinformatics/High Throughput Analysis, Faculty of Mathematics and Computer Science, Friedrich Schiller University, 07743 Jena, Germany; (J.M.); (A.S.)
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Emerging Functions for snoRNAs and snoRNA-Derived Fragments. Int J Mol Sci 2021; 22:ijms221910193. [PMID: 34638533 PMCID: PMC8508363 DOI: 10.3390/ijms221910193] [Citation(s) in RCA: 81] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Revised: 09/16/2021] [Accepted: 09/16/2021] [Indexed: 12/11/2022] Open
Abstract
The widespread implementation of mass sequencing has revealed a diverse landscape of small RNAs derived from larger precursors. Whilst many of these are likely to be byproducts of degradation, there are nevertheless metabolically stable fragments derived from tRNAs, rRNAs, snoRNAs, and other non-coding RNA, with a number of examples of the production of such fragments being conserved across species. Coupled with specific interactions to RNA-binding proteins and a growing number of experimentally reported examples suggesting function, a case is emerging whereby the biological significance of small non-coding RNAs extends far beyond miRNAs and piRNAs. Related to this, a similarly complex picture is emerging of non-canonical roles for the non-coding precursors, such as for snoRNAs that are also implicated in such areas as the silencing of gene expression and the regulation of alternative splicing. This is in addition to a body of literature describing snoRNAs as an additional source of miRNA-like regulators. This review seeks to highlight emerging roles for such non-coding RNA, focusing specifically on “new” roles for snoRNAs and the small fragments derived from them.
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Evolution and Phylogeny of MicroRNAs - Protocols, Pitfalls, and Problems. Methods Mol Biol 2021. [PMID: 34432281 DOI: 10.1007/978-1-0716-1170-8_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/17/2023]
Abstract
MicroRNAs are important regulators in many eukaryotic lineages. Typical miRNAs have a length of about 22nt and are processed from precursors that form a characteristic hairpin structure. Once they appear in a genome, miRNAs are among the best-conserved elements in both animal and plant genomes. Functionally, they play an important role in particular in development. In contrast to protein-coding genes, miRNAs frequently emerge de novo. The genomes of animals and plants harbor hundreds of mutually unrelated families of homologous miRNAs that tend to be persistent throughout evolution. The evolution of their genomic miRNA complement closely correlates with important morphological innovation. In addition, miRNAs have been used as valuable characters in phylogenetic studies. An accurate and comprehensive annotation of miRNAs is required as a basis to understand their impact on phenotypic evolution. Since experimental data on miRNA expression are limited to relatively few species and are subject to unavoidable ascertainment biases, it is inevitable to complement miRNA sequencing by homology based annotation methods. This chapter reviews the state of the art workflows for homology based miRNA annotation, with an emphasis on their limitations and open problems.
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Su X, Feng C, Wang S, Shi L, Gu Q, Zhang H, Lan X, Zhao Y, Qiang W, Ji M, Hou P. The noncoding RNAs SNORD50A and SNORD50B-mediated TRIM21-GMPS interaction promotes the growth of p53 wild-type breast cancers by degrading p53. Cell Death Differ 2021; 28:2450-2464. [PMID: 33742136 PMCID: PMC8329294 DOI: 10.1038/s41418-021-00762-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Revised: 02/21/2021] [Accepted: 02/24/2021] [Indexed: 01/31/2023] Open
Abstract
Small nucleolar RNA SNORD50A and SNORD50B (SNORD50A/B) has been reported to be recurrently deleted and function as a putative tumor suppressor in different types of cancer by binding to and suppressing the activity of the KRAS oncoproteins. Its deletion correlates with poorer patient survival. However, in this study, we surprisingly found that SNORD50A/B loss predicted a better survival in breast cancer patients carrying wild-type p53. Functional studies showed that SNORD50A/B deletion strongly inhibited the proliferation, migration, invasion and tumorigenic potential, and induced cell cycle arrest and apoptosis in p53 wild-type breast cancer cells, while exerted the opposite effects in p53 mutated breast cancer cells. This was also supported by ectopically expressing SNORD50A/B in both p53 wild-type and mutated breast cancer cells. Mechanistically, SNORD50A/B clearly enhances the interaction between E3 ubiquitin ligase TRIM21 and its substrate GMPS by forming a complex among them, thereby promoting GMPS ubiquitination and its subsequent cytoplasmic sequestration. SNORD50A/B deletion in p53 wild-type breast cancer cells will release GMPS and induce the translocation of GMPS into the nucleus, where GMPS can recruit USP7 and form a complex with p53, thereby decreasing p53 ubiquitination, stabilizing p53 proteins, and inhibiting malignant phenotypes of cancer cells. Altogether, the present study first reports that SNORD50A/B plays an oncogenic role in p53 wild-type breast cancers by mediating TRIM21-GMPS interaction.
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Affiliation(s)
- Xi Su
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Chao Feng
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Simeng Wang
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Liang Shi
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Qingqing Gu
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Haihong Zhang
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Xinhui Lan
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Yuelei Zhao
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Wei Qiang
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China
| | - Meiju Ji
- Center for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China.
| | - Peng Hou
- Key Laboratory for Tumor Precision Medicine of Shaanxi Province and Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, PR China.
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Donovan PD, McHale NM, Venø MT, Prehn JHM. tsRNAsearch: A pipeline for the identification of tRNA and ncRNA fragments from small RNA-sequencing data. Bioinformatics 2021; 37:4424-4430. [PMID: 34255836 DOI: 10.1093/bioinformatics/btab515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 05/27/2021] [Accepted: 07/09/2021] [Indexed: 12/21/2022] Open
Abstract
MOTIVATION tRNAs were originally considered uni-functional RNA molecules involved in the delivery of amino acids to growing peptide chains on the ribosome. More recently, the liberation of tRNA fragments from tRNAs via specific enzyme cleavage has been characterized. Detection of tRNA fragments in sequencing data is difficult due to tRNA sequence redundancy and the short length of both tRNAs and their fragments. RESULTS Here we introduce tsRNAsearch, a Nextflow pipeline for the identification of differentially abundant tRNA fragments and other non-coding RNAs from small RNA-sequencing data. tsRNAsearch is intended for use when comparing two groups of datasets, such as control and treatment groups. tsRNAsearch comparatively searches for tRNAs and ncRNAs with irregular read distribution profiles (a proxy for RNA cleavage) using a combined score made up of four novel methods and a differential expression analysis, and reports the top ranked results in simple PDF and TEXT files. In this study, we used publicly available small RNA-seq data to replicate the identification of tsRNAs from chronic hepatitis-infected liver tissue data. In addition, we applied tsRNAsearch to pancreatic ductal adenocarcinoma (PDAC) and matched healthy pancreatic tissue small RNA-sequencing data. Our results support the identification of miR135b from the original study as a potential biomarker of PDAC and identify other potentially stronger miRNA biomarkers of PDAC. AVAILABILITY https://github.com/GiantSpaceRobot/tsRNAsearch. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Paul D Donovan
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, St Stephen's Green, Dublin, Ireland
| | - Natalie M McHale
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, St Stephen's Green, Dublin, Ireland
| | | | - Jochen H M Prehn
- Department of Physiology and Medical Physics, Centre for Systems Medicine, Royal College of Surgeons in Ireland, St Stephen's Green, Dublin, Ireland
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41
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Toms D, Pan B, Bai Y, Li J. Small RNA sequencing reveals distinct nuclear microRNAs in pig granulosa cells during ovarian follicle growth. J Ovarian Res 2021; 14:54. [PMID: 33879202 PMCID: PMC8059229 DOI: 10.1186/s13048-021-00802-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 04/05/2021] [Indexed: 12/14/2022] Open
Abstract
Nuclear small RNAs have emerged as an important subset of non-coding RNA species that are capable of regulating gene expression. A type of small RNA, microRNA (miRNA) have been shown to regulate development of the ovarian follicle via canonical targeting and translational repression. Little has been done to study these molecules at a subcellular level. Using cell fractionation and high throughput sequencing, we surveyed cytoplasmic and nuclear small RNA found in the granulosa cells of the pig ovarian antral preovulatory follicle. Bioinformatics analysis revealed a diverse network of small RNA that differ in their subcellular distribution and implied function. We identified predicted genomic DNA binding sites for nucleus-enriched miRNAs that may potentially be involved in transcriptional regulation. The small nucleolar RNA (snoRNA) SNORA73, known to be involved in steroid synthesis, was also found to be highly enriched in the cytoplasm, suggesting a role for snoRNA species in ovarian function. Taken together, these data provide an important resource to study the small RNAome in ovarian follicles and how they may impact fertility.
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Affiliation(s)
- Derek Toms
- Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
| | - Bo Pan
- Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
| | - Yinshan Bai
- Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada.,School of Life Science and Engineering, Foshan University, Foshan, 528231, China
| | - Julang Li
- Department of Animal Biosciences, University of Guelph, Guelph, ON, Canada
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42
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Small noncoding RNA profiling across cellular and biofluid compartments and their implications for multiple sclerosis immunopathology. Proc Natl Acad Sci U S A 2021; 118:2011574118. [PMID: 33879606 PMCID: PMC8092379 DOI: 10.1073/pnas.2011574118] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Dysregulation of microRNAs (miRNAs), a type of small noncoding RNAs (sncRNAs), has frequently been associated with multiple sclerosis (MS). However, most studies have focused on peripheral blood, and few investigated other classes of sncRNAs. To address this, we analyzed all classes of sncRNAs in matching peripheral blood mononuclear cells, plasma, cerebrospinal fluid (CSF) cells, and cell-free CSF from MS patients and controls. We demonstrate widespread alterations of small nuclear (snRNA)–derived RNAs, small nucleolar-derived RNAs (sdRNAs), transfer RNA–derived fragments, and miRNAs, particularly in CSF cells. The striking contrast between the periphery and central nervous system and between relapse and remission phases of disease highlights the importance of sncRNA-mediated mechanisms in MS, in particular alternative splicing and mRNA translation. Multiple sclerosis (MS) is a chronic inflammatory demyelinating disease affecting the central nervous system (CNS). Small non-coding RNAs (sncRNAs) and, in particular, microRNAs (miRNAs) have frequently been associated with MS. Here, we performed a comprehensive analysis of all classes of sncRNAs in matching samples of peripheral blood mononuclear cells (PBMCs), plasma, cerebrospinal fluid (CSF) cells, and cell-free CSF from relapsing-remitting (RRMS, n = 12 in relapse and n = 11 in remission) patients, secondary progressive (SPMS, n = 6) MS patients, and noninflammatory and inflammatory neurological disease controls (NINDC, n = 11; INDC, n = 5). We show widespread changes in miRNAs and sncRNA-derived fragments of small nuclear, nucleolar, and transfer RNAs. In CSF cells, 133 out of 133 and 115 out of 117 differentially expressed sncRNAs were increased in RRMS relapse compared to remission and RRMS compared to NINDC, respectively. In contrast, 65 out of 67 differentially expressed PBMC sncRNAs were decreased in RRMS compared to NINDC. The striking contrast between the periphery and CNS suggests that sncRNA-mediated mechanisms, including alternative splicing, RNA degradation, and mRNA translation, regulate the transcriptome of pathogenic cells primarily in the CNS target organ.
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43
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Molla-Herman A, Angelova MT, Ginestet M, Carré C, Antoniewski C, Huynh JR. tRNA Fragments Populations Analysis in Mutants Affecting tRNAs Processing and tRNA Methylation. Front Genet 2020; 11:518949. [PMID: 33193603 PMCID: PMC7586317 DOI: 10.3389/fgene.2020.518949] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 09/03/2020] [Indexed: 01/16/2023] Open
Abstract
tRNA fragments (tRFs) are a class of small non-coding RNAs (sncRNAs) derived from tRNAs. tRFs are highly abundant in many cell types including stem cells and cancer cells, and are found in all domains of life. Beyond translation control, tRFs have several functions ranging from transposon silencing to cell proliferation control. However, the analysis of tRFs presents specific challenges and their biogenesis is not well understood. They are very heterogeneous and highly modified by numerous post-transcriptional modifications. Here we describe a bioinformatic pipeline (tRFs-Galaxy) to study tRFs populations and shed light onto tRNA fragments biogenesis in Drosophila melanogaster. Indeed, we used small RNAs Illumina sequencing datasets extracted from wild type and mutant ovaries affecting two different highly conserved steps of tRNA biogenesis: 5'pre-tRNA processing (RNase-P subunit Rpp30) and tRNA 2'-O-methylation (dTrm7_34 and dTrm7_32). Using our pipeline, we show how defects in tRNA biogenesis affect nuclear and mitochondrial tRFs populations and other small non-coding RNAs biogenesis, such as small nucleolar RNAs (snoRNAs). This tRF analysis workflow will advance the current understanding of tRFs biogenesis, which is crucial to better comprehend tRFs roles and their implication in human pathology.
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Affiliation(s)
- Anahi Molla-Herman
- Collège de France, CIRB, CNRS Inserm UMR 7241, PSL Research University, Paris, France
| | - Margarita T. Angelova
- Transgenerational Epigenetics & Small RNA Biology, Sorbonne Université, CNRS, Laboratoire de Biologie du Développement - Institut de Biologie Paris Seine, Paris, France
| | - Maud Ginestet
- Collège de France, CIRB, CNRS Inserm UMR 7241, PSL Research University, Paris, France
| | - Clément Carré
- Transgenerational Epigenetics & Small RNA Biology, Sorbonne Université, CNRS, Laboratoire de Biologie du Développement - Institut de Biologie Paris Seine, Paris, France
| | - Christophe Antoniewski
- ARTbio Bioinformatics Analysis Facility, Sorbonne Université, CNRS, Institut de Biologie Paris Seine, Paris, France
| | - Jean-René Huynh
- Collège de France, CIRB, CNRS Inserm UMR 7241, PSL Research University, Paris, France
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44
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Li Y, Baptista RP, Kissinger JC. Noncoding RNAs in Apicomplexan Parasites: An Update. Trends Parasitol 2020; 36:835-849. [DOI: 10.1016/j.pt.2020.07.006] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 06/26/2020] [Accepted: 07/18/2020] [Indexed: 12/16/2022]
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45
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Non-coding RNAs in Brain Tumors, the Contribution of lncRNAs, circRNAs, and snoRNAs to Cancer Development-Their Diagnostic and Therapeutic Potential. Int J Mol Sci 2020; 21:ijms21197001. [PMID: 32977537 PMCID: PMC7582339 DOI: 10.3390/ijms21197001] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 09/18/2020] [Accepted: 09/20/2020] [Indexed: 12/17/2022] Open
Abstract
Brain tumors are one of the most frightening ailments that afflict human beings worldwide. They are among the most lethal of all adult and pediatric solid tumors. The unique cell-intrinsic and microenvironmental properties of neural tissues are some of the most critical obstacles that researchers face in the diagnosis and treatment of brain tumors. Intensifying the search for potential new molecular markers in order to develop new effective treatments for patients might resolve this issue. Recently, the world of non-coding RNAs (ncRNAs) has become a field of intensive research since the discovery of their essential impact on carcinogenesis. Some of the most promising diagnostic and therapeutic regulatory RNAs are long non-coding RNAs (lncRNAs), circular RNAs (circRNAs), and small nucleolar RNAs (snoRNAs). Many recent reports indicate the important role of these molecules in brain tumor development, as well as their implications in metastasis. In the following review, we summarize the current state of knowledge about regulatory RNAs, namely lncRNA, circRNAs, and snoRNAs, and their impact on the development of brain tumors in children and adults with particular emphasis on malignant primary brain tumors-gliomas and medulloblastomas (MB). We also provide an overview of how these different ncRNAs may act as biomarkers in these tumors and we present their potential clinical implications.
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46
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Streit D, Shanmugam T, Garbelyanski A, Simm S, Schleiff E. The Existence and Localization of Nuclear snoRNAs in Arabidopsis thaliana Revisited. PLANTS (BASEL, SWITZERLAND) 2020; 9:E1016. [PMID: 32806552 PMCID: PMC7464842 DOI: 10.3390/plants9081016] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/03/2020] [Accepted: 08/08/2020] [Indexed: 12/14/2022]
Abstract
Ribosome biogenesis is one cell function-defining process. It depends on efficient transcription of rDNAs in the nucleolus as well as on the cytosolic synthesis of ribosomal proteins. For newly transcribed rRNA modification and ribosomal protein assembly, so-called small nucleolar RNAs (snoRNAs) and ribosome biogenesis factors (RBFs) are required. For both, an inventory was established for model systems like yeast and humans. For plants, many assignments are based on predictions. Here, RNA deep sequencing after nuclei enrichment was combined with single molecule species detection by northern blot and in vivo fluorescence in situ hybridization (FISH)-based localization studies. In addition, the occurrence and abundance of selected snoRNAs in different tissues were determined. These approaches confirm the presence of most of the database-deposited snoRNAs in cell cultures, but some of them are localized in the cytosol rather than in the nucleus. Further, for the explored snoRNA examples, differences in their abundance in different tissues were observed, suggesting a tissue-specific function of some snoRNAs. Thus, based on prediction and experimental confirmation, many plant snoRNAs can be proposed, while it cannot be excluded that some of the proposed snoRNAs perform alternative functions than are involved in rRNA modification.
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Affiliation(s)
- Deniz Streit
- Department of Biosciences, Molecular Cell Biology of Plants, Goethe University, D-60438 Frankfurt am Main, Germany; (D.S.); (T.S.); (A.G.); (S.S)
| | - Thiruvenkadam Shanmugam
- Department of Biosciences, Molecular Cell Biology of Plants, Goethe University, D-60438 Frankfurt am Main, Germany; (D.S.); (T.S.); (A.G.); (S.S)
| | - Asen Garbelyanski
- Department of Biosciences, Molecular Cell Biology of Plants, Goethe University, D-60438 Frankfurt am Main, Germany; (D.S.); (T.S.); (A.G.); (S.S)
| | - Stefan Simm
- Department of Biosciences, Molecular Cell Biology of Plants, Goethe University, D-60438 Frankfurt am Main, Germany; (D.S.); (T.S.); (A.G.); (S.S)
- Institute of Bioinformatics, University Medicine Greifswald, D-17475 Greifswald, Germany
| | - Enrico Schleiff
- Department of Biosciences, Molecular Cell Biology of Plants, Goethe University, D-60438 Frankfurt am Main, Germany; (D.S.); (T.S.); (A.G.); (S.S)
- Frankfurt Institute of Advanced Studies (FIAS), D-60438 Frankfurt am Main, Germany
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47
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Peffers MJ, Chabronova A, Balaskas P, Fang Y, Dyer P, Cremers A, Emans PJ, Feczko PZ, Caron MM, Welting TJM. SnoRNA signatures in cartilage ageing and osteoarthritis. Sci Rep 2020; 10:10641. [PMID: 32606371 PMCID: PMC7326970 DOI: 10.1038/s41598-020-67446-z] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 06/08/2020] [Indexed: 01/23/2023] Open
Abstract
Osteoarthritis presents as a change in the chondrocyte phenotype and an imbalance between anabolic and catabolic processes. Age affects its onset and progression. Small nucleolar RNAs (SnoRNAs) direct chemical modification of RNA substrates to fine-tune spliceosomal and rRNA function, accommodating changing requirements for splicing and protein synthesis during health and disease. Articular cartilage from young, old and OA knees was used in a microarray study to identify alterations in snoRNA expression. Changes in snoRNAs in osteoarthritis-like conditions were studied in chondrocytes using interleukin-1 and osteoarthritic synovial fluid. SNORD26 and SNORD96A knockdown and overexpression were undertaken using antisense oligonucleotides and overexpression plasmids. We identified panels of snoRNAs differentially expressed due to ageing (including SNORD96A, SNORD44) and osteoarthritis (including SNORD26 and SNORD116). In vitro experiments using osteoarthritis-like conditions affected snoRNA expression. Knockdown or overexpression of SNORD26 or SNORD96A resulted in changes in chondrogenic, hypertrophic, rRNA and osteoarthritis related gene expression. We demonstrate that snoRNA expression changes in cartilage ageing, and osteoarthritis and in osteoarthritis-like conditions, and when the expression of these snoRNAs is altered this affects chondrogenic and hypertrophic gene expression. Thus, we propose an additional dimension in the molecular mechanisms underlying cartilage ageing and osteoarthritis through the dysregulation of snoRNAs.
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Affiliation(s)
- Mandy J Peffers
- Institute of Ageing and Chronic Disease, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK.
| | - Alzbeta Chabronova
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University Medical Centre, 6202 AZ, Maastricht, The Netherlands
| | - Panagiotis Balaskas
- Institute of Ageing and Chronic Disease, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK
| | - Yongxiang Fang
- Centre for Genomic Research, Institute of Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, L69 7ZB, UK
| | - Philip Dyer
- Institute of Ageing and Chronic Disease, William Henry Duncan Building, 6 West Derby Street, Liverpool, L7 8TX, UK
| | - Andy Cremers
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University Medical Centre, 6202 AZ, Maastricht, The Netherlands
| | - Pieter J Emans
- Department of Orthopaedic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Peter Z Feczko
- Department of Orthopaedic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Marjolein M Caron
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University Medical Centre, 6202 AZ, Maastricht, The Netherlands
| | - Tim J M Welting
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, Maastricht University Medical Centre, 6202 AZ, Maastricht, The Netherlands.,Department of Orthopaedic Surgery, Maastricht University Medical Center, Maastricht, The Netherlands
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48
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Zimta AA, Tigu AB, Braicu C, Stefan C, Ionescu C, Berindan-Neagoe I. An Emerging Class of Long Non-coding RNA With Oncogenic Role Arises From the snoRNA Host Genes. Front Oncol 2020; 10:389. [PMID: 32318335 PMCID: PMC7154078 DOI: 10.3389/fonc.2020.00389] [Citation(s) in RCA: 100] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/04/2020] [Indexed: 12/24/2022] Open
Abstract
The small nucleolar RNA host genes (SNHGs) are a group of long non-coding RNAs, which are reported in many studies as being overexpressed in various cancers. With very few exceptions, the SNHGs (SNHG1, SNHG3, SNHG5, SNHG6, SNHG7, SNHG12, SNHG15, SNHG16, SNHG20) are recognized as inducing increased proliferation, cell cycle progression, invasion, and metastasis of cancer cells, which makes this class of transcripts a viable biomarker for cancer development and aggressiveness. Through our literature research, we also found that silencing of SNHGs through small interfering RNAs or short hairpin RNAs is very effective in both in vitro and in vivo experiments by lowering the aggressiveness of solid cancers. The knockdown of SNHG as a new cancer therapeutic option should be investigated more in the future.
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Affiliation(s)
- Alina-Andreea Zimta
- Medfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Adrian Bogdan Tigu
- Medfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Cornelia Braicu
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Cristina Stefan
- African Organisation for Research and Training in Cancer, Cape Town, South Africa
| | - Calin Ionescu
- Surgical Department, Municipal Hospital, Cluj-Napoca, Romania
- Department of Surgery, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
| | - Ioana Berindan-Neagoe
- Medfuture Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania
- Department of Functional Genomics and Experimental Pathology, The Oncology Institute “Prof. Dr. I. Chiricuta”, Cluj-Napoca, Romania
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49
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Cuthbert JM, Russell SJ, White KL, Benninghoff AD. The maternal-to-zygotic transition in bovine in vitro-fertilized embryos is associated with marked changes in small non-coding RNAs†. Biol Reprod 2020; 100:331-350. [PMID: 30165428 DOI: 10.1093/biolre/ioy190] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2018] [Revised: 07/25/2018] [Accepted: 08/23/2018] [Indexed: 12/14/2022] Open
Abstract
In mammals, small non-coding RNAs (sncRNAs) have been reported to be important during early embryo development. However, a comprehensive assessment of the inventory of sncRNAs during the maternal-to-zygotic transition (MZT) has not been performed in an animal model that better represents the sncRNA biogenesis pathway in human oocytes and embryos. The objective of this study was to examine dynamic changes in expression of sncRNAs during the MZT in bovine embryos produced by in vitro fertilization (IVF), which occurs at the 8-cell stage. An unbiased, discovery-based approach was employed using small RNAseq to profile sncRNAs in bovine oocytes, 8-cell stage embryos and blastocyst stage embryos followed by network and ontology analyses to explore the functional relevance of differentially expressed micro-RNAS (miRNAs). The relative abundance of miRNAs was markedly higher in 8-cell stage embryos compared to oocytes or blastocyst stage embryos. This shift in miRNA population was largely associated with upregulation of miRNAs predicted to target genes involved in the biological processes of cell development, cell division, Wnt signaling, and pluripotency, among others. Distinct populations of piwi-interacting-like RNAs (pilRNAs) were identified in bovine oocytes and blastocyst stage embryos, though pilRNAs were nearly absent in 8-cell stage embryos. Also, small nucleolar RNAs were highly expressed in 8-cell stage embryos. Overall, these data reveal a strong dynamic shift in the relative abundance of sncRNAs associated with the MZT in bovine oocytes and embryos, suggesting that these molecules may play important roles in the shift from maternal to zygotic control of gene expression.
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Affiliation(s)
- Jocelyn M Cuthbert
- Department of Animal, Dairy and Veterinary Sciences, Utah State University, Logan, Utah, USA
| | | | - Kenneth L White
- Department of Animal, Dairy and Veterinary Sciences, Utah State University, Logan, Utah, USA.,School of Veterinary Medicine, Utah State University, Logan, Utah, USA
| | - Abby D Benninghoff
- Department of Animal, Dairy and Veterinary Sciences, Utah State University, Logan, Utah, USA.,School of Veterinary Medicine, Utah State University, Logan, Utah, USA
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50
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Bratkovič T, Božič J, Rogelj B. Functional diversity of small nucleolar RNAs. Nucleic Acids Res 2020; 48:1627-1651. [PMID: 31828325 PMCID: PMC7038934 DOI: 10.1093/nar/gkz1140] [Citation(s) in RCA: 155] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 11/17/2019] [Accepted: 12/05/2019] [Indexed: 12/22/2022] Open
Abstract
Small nucleolar RNAs (snoRNAs) are short non-protein-coding RNAs with a long-recognized role in tuning ribosomal and spliceosomal function by guiding ribose methylation and pseudouridylation at targeted nucleotide residues of ribosomal and small nuclear RNAs, respectively. SnoRNAs are increasingly being implicated in regulation of new types of post-transcriptional processes, for example rRNA acetylation, modulation of splicing patterns, control of mRNA abundance and translational efficiency, or they themselves are processed to shorter stable RNA species that seem to be the principal or alternative bioactive isoform. Intriguingly, some display unusual cellular localization under exogenous stimuli, or tissue-specific distribution. Here, we discuss the new and unforeseen roles attributed to snoRNAs, focusing on the presumed mechanisms of action. Furthermore, we review the experimental approaches to study snoRNA function, including high resolution RNA:protein and RNA:RNA interaction mapping, techniques for analyzing modifications on targeted RNAs, and cellular and animal models used in snoRNA biology research.
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Affiliation(s)
- Tomaž Bratkovič
- University of Ljubljana, Faculty of Pharmacy, Aškerčeva cesta 7, SI1000 Ljubljana, Slovenia
| | - Janja Božič
- Jozef Stefan Institute, Department of Biotechnology, Jamova cesta 39, SI1000 Ljubljana, Slovenia.,Biomedical Research Institute BRIS, Puhova ulica 10, SI1000 Ljubljana, Slovenia
| | - Boris Rogelj
- University of Ljubljana, Faculty of Pharmacy, Aškerčeva cesta 7, SI1000 Ljubljana, Slovenia.,Jozef Stefan Institute, Department of Biotechnology, Jamova cesta 39, SI1000 Ljubljana, Slovenia.,Biomedical Research Institute BRIS, Puhova ulica 10, SI1000 Ljubljana, Slovenia.,University of Ljubljana, Faculty of Chemistry and Chemical Technology, Večna pot 113, SI1000 Ljubljana, Slovenia
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