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Liu X, Zhang H, Fan Y, Cai D, Lei R, Wang Q, Li Y, Shen L, Gu Y, Zhang Q, Qi Z, Wang Z. SNORA28 Promotes Proliferation and Radioresistance in Colorectal Cancer Cells through the STAT3 Pathway by Increasing H3K9 Acetylation in the LIFR Promoter. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2405332. [PMID: 38924373 PMCID: PMC11347989 DOI: 10.1002/advs.202405332] [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: 05/15/2024] [Revised: 06/14/2024] [Indexed: 06/28/2024]
Abstract
Radiotherapy is essential for treating colorectal cancer (CRC), especially in advanced rectal cancer. However, the low radiosensitivity of CRC cells greatly limits radiotherapy efficacy. Small nucleolar RNAs (snoRNAs) are a class of noncoding RNA that primarily direct post-transcriptional modifications of ribosomal RNAs (rRNAs), small nuclear RNAs (snRNAs), and other cellular RNAs. While snoRNAs are involved in tumor progression and chemoresistance, their association with radiosensitivity remains largely unknown. Herein, SNORA28 is shown highly expressed in CRC and is positively associated with poor prognosis. Furthermore, SNORA28 overexpression enhances the growth and radioresistance of CRC cells in vitro and in vivo. Mechanistically, SNORA28 acts as a molecular decoy that recruits bromodomain-containing protein 4 (BRD4), which increases the level of H3K9 acetylation at the LIFR promoter region. This stimulates LIFR transcription, which in turn triggers the JAK1/STAT3 pathway, enhancing the proliferation and radioresistance of CRC cells. Overall, these results highlight the ability of snoRNAs to regulate radiosensitivity in tumor cells and affect histone acetylation modification in the promoter region of target genes, thus broadening the current knowledge of snoRNA biological functions and the mechanism underlying target gene regulation.
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Affiliation(s)
- Xin Liu
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Hong Zhang
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Ying Fan
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Dan Cai
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
- Graduate Collaborative Training Base of Academy of Military SciencesHengyang Medical SchoolUniversity of South ChinaHengyangHunan421001China
| | - Ridan Lei
- Department of Epidemiology and Health StatisticsXiangya School of Public HealthCentral South UniversityChangshaHunan410078China
| | - Qi Wang
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Yaqiong Li
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Liping Shen
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Yongqing Gu
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Qingtong Zhang
- Department of Colorectal SurgeryLiaoning Cancer Hospital & InstituteCancer Hospital of China Medical UniversityCancer Hospital of Dalian University of TechnologyShenyang110042China
| | - Zhenhua Qi
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
| | - Zhidong Wang
- Department of RadiobiologyBeijing Key Laboratory for RadiobiologyBeijing Institute of Radiation MedicineBeijing100850China
- Graduate Collaborative Training Base of Academy of Military SciencesHengyang Medical SchoolUniversity of South ChinaHengyangHunan421001China
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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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Zhou Y, Yin W, Kuang Y, Wu Z, Huang H, Liu W, Jiang X, Ren C. A prognostic signature based on snoRNA predicts the overall survival of lower-grade glioma patients. Front Immunol 2023; 14:1138363. [PMID: 38022536 PMCID: PMC10646524 DOI: 10.3389/fimmu.2023.1138363] [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: 01/05/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Introduction Small nucleolar RNAs (snoRNAs) are a group of non-coding RNAs enriched in the nucleus which direct post-transcriptional modifications of rRNAs, snRNAs and other molecules. Recent studies have suggested that snoRNAs have a significant role in tumor oncogenesis and can be served as prognostic markers for predicting the overall survival of tumor patients. Methods We screened 122 survival-related snoRNAs from public databases and eventually selected 7 snoRNAs that were most relevant to the prognosis of lower-grade glioma (LGG) patients for the establishment of the 7-snoRNA prognostic signature. Further, we combined clinical characteristics related to the prognosis of glioma patients and the 7-snoRNA prognostic signature to construct a nomogram. Results The prognostic model displayed greater predictive power in both validation set and stratification analysis. Results of enrichment analysis revealed that these snoRNAs mainly participated in the post-transcriptional process such as RNA splicing, metabolism and modifications. In addition, 7-snoRNA prognostic signature were positively correlated with immune scores and expression levels of multiple immune checkpoint molecules, which can be used as potential biomarkers for immunotherapy prediction. From the results of bioinformatics analysis, we inferred that SNORD88C has a major role in the development of glioma, and then performed in vitro experiments to validate it. The results revealed that SNORD88C could promote the proliferation, invasion and migration of glioma cells. Discussion We established a 7-snoRNA prognostic signature and nomogram that can be applied to evaluate the survival of LGG patients with good sensitivity and specificity. In addition, SNORD88C could promote the proliferation, migration and invasion of glioma cells and is involved in a variety of biological processes related to DNA and RNA.
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Affiliation(s)
- Yi Zhou
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Wen Yin
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Yirui Kuang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Zhaoping Wu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Haoxuan Huang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Weidong Liu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, China
- The NHC Key Laboratory of Carcinogenesis and The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Central South University, Changsha, Hunan, China
| | - Xingjun Jiang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Caiping Ren
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, China
- The NHC Key Laboratory of Carcinogenesis and The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Central South University, Changsha, Hunan, China
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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: 1.0] [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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5
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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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Insight on Non-Coding RNAs from Biofluids in Ovarian Tumors. Cancers (Basel) 2023; 15:cancers15051539. [PMID: 36900328 PMCID: PMC10001105 DOI: 10.3390/cancers15051539] [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: 01/14/2023] [Revised: 02/22/2023] [Accepted: 02/24/2023] [Indexed: 03/05/2023] Open
Abstract
Ovarian tumors are the most frequent adnexal mass, raising diagnostic and therapeutic issues linked to a large spectrum of tumors, with a continuum from benign to malignant. Thus far, none of the available diagnostic tools have proven efficient in deciding strategy, and no consensus exists on the best strategy between "single test", "dual testing", "sequential testing", "multiple testing options" and "no testing". In addition, there is a need for prognostic tools such as biological markers of recurrence and theragnostic tools to detect women not responding to chemotherapy in order to adapt therapies. Non-coding RNAs are classified as small or long based on their nucleotide count. Non-coding RNAs have multiple biological functions such as a role in tumorigenesis, gene regulation and genome protection. These ncRNAs emerge as new potential tools to differentiate benign from malignant tumors and to evaluate prognostic and theragnostic factors. In the specific setting of ovarian tumors, the goal of the present work is to offer an insight into the contribution of biofluid non-coding RNAs (ncRNA) expression.
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Huang J, Tiu AC, Jose PA, Yang J. Sorting nexins: role in the regulation of blood pressure. FEBS J 2023; 290:600-619. [PMID: 34847291 PMCID: PMC9149145 DOI: 10.1111/febs.16305] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 10/13/2021] [Accepted: 11/29/2021] [Indexed: 02/06/2023]
Abstract
Sorting nexins (SNXs) are a family of proteins that regulate cellular cargo sorting and trafficking, maintain intracellular protein homeostasis, and participate in intracellular signaling. SNXs are also important in the regulation of blood pressure via several mechanisms. Aberrant expression and dysfunction of SNXs participate in the dysregulation of blood pressure. Genetic studies show a correlation between SNX gene variants and the response to antihypertensive drugs. In this review, we summarize the progress in SNX-mediated regulation of blood pressure, discuss the potential role of SNXs in the pathophysiology and treatment of hypertension, and propose novel strategies for the medical therapy of hypertension.
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Affiliation(s)
- Juan Huang
- Department of Clinical Nutrition, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 410020, P.R. China
| | - Andrew C. Tiu
- Department of Medicine, Einstein Medical Center Philadelphia, Philadelphia, PA 19141, USA
| | - Pedro A. Jose
- Division of Renal Diseases & Hypertension, Department of Medicine, and Department of Physiology and Pharmacology, The George Washington University School of Medicine & Health Sciences, Washington, DC 20052, USA
| | - Jian Yang
- Department of Clinical Nutrition, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 410020, P.R. China
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Cavallin I, Bartosovic M, Skalicky T, Rengaraj P, Demko M, Schmidt-Dengler MC, Drino A, Helm M, Vanacova S. HITS-CLIP analysis of human ALKBH8 reveals interactions with fully processed substrate tRNAs and with specific noncoding RNAs. RNA (NEW YORK, N.Y.) 2022; 28:1568-1581. [PMID: 36192131 PMCID: PMC9670814 DOI: 10.1261/rna.079421.122] [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: 08/16/2022] [Accepted: 09/09/2022] [Indexed: 06/16/2023]
Abstract
Transfer RNAs acquire a large plethora of chemical modifications. Among those, modifications of the anticodon loop play important roles in translational fidelity and tRNA stability. Four human wobble U-containing tRNAs obtain 5-methoxycarbonylmethyluridine (mcm5U34) or 5-methoxycarbonylmethyl-2-thiouridine (mcm5s2U34), which play a role in decoding. This mark involves a cascade of enzymatic activities. The last step is mediated by alkylation repair homolog 8 (ALKBH8). In this study, we performed a transcriptome-wide analysis of the repertoire of ALKBH8 RNA targets. Using a combination of HITS-CLIP and RIP-seq analyses, we uncover ALKBH8-bound RNAs. We show that ALKBH8 targets fully processed and CCA modified tRNAs. Our analyses uncovered the previously known set of wobble U-containing tRNAs. In addition, both our approaches revealed ALKBH8 binding to several other types of noncoding RNAs, in particular C/D box snoRNAs.
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Affiliation(s)
- Ivana Cavallin
- Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
| | - Marek Bartosovic
- Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
| | - Tomas Skalicky
- Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, 370 05 České Budějovice, Czech Republic
| | - Praveenkumar Rengaraj
- Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
| | - Martin Demko
- Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
| | | | - Aleksej Drino
- Medical University of Vienna, Center for Anatomy and Cell Biology, 1090 Vienna, Austria
| | - Mark Helm
- Johannes Gutenberg-Universität Mainz, Institute of Pharmaceutical and Biomedical Science (IPBS), D-55128 Mainz, Germany
| | - Stepanka Vanacova
- Central European Institute of Technology, Masaryk University, 625 00 Brno, Czech Republic
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9
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Zhang X, Jiang Y, Wang Q, An W, Zhang X, Xu M, Chen Y. Atypical U3 snoRNA Suppresses the Process of Pterygium Through Modulating 18S Ribosomal RNA Synthesis. Invest Ophthalmol Vis Sci 2022; 63:17. [PMID: 35472218 PMCID: PMC9055567 DOI: 10.1167/iovs.63.4.17] [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] [Indexed: 11/24/2022] Open
Abstract
Background The progression and recurrence of pterygium mainly occur due to the abnormal proliferation and migration of stromal pterygium fibroblasts. This research explores the aberrant expression of small nucleolar RNA U3 (U3 snoRNA) in pterygium and elucidates the molecular mechanisms of U3 snoRNA in pterygium development. Methods Primary human conjunctival fibroblasts (HCFs) and human pterygium fibroblasts (HPFs) were separated and cultured from fresh conjunctiva grafts and pterygium tissues. The PLKO.1 lentiviral system and CRISPR/Cas9 recombinant construct were, respectively, used to overexpress and silence U3 snoRNA in HPFs and HCFs for further specific phenotype analysis. RNA-seq and TMT-labeled quantitative protein mass spectrometry were utilized to evaluate the effect of U3 snoRNA on mRNA transcripts and protein synthesis. Results Reduced U3 snoRNA in pterygium promotes HCF or HPF cells’ proliferation, migration, and cell cycle but has no significant effect on apoptosis. U3 snoRNA modulates 18S rRNA synthesis through shearing precursor ribosomal RNA 47S rRNA at the 5′ external transcribed spacer (5′ ETS). Moreover, the altered U3 snoRNA causes mRNA and protein differential expression in HCF or HPF cells. Conclusions The atypical U3 snoRNA regulates the translation of specific proteins to exert a suppressive function in pterygium through modulating the 18S rRNA synthesis. Here, we uncover a novel insight into U3 snoRNA biology in the development of pterygium.
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Affiliation(s)
- Xin Zhang
- Department of Ophthalmology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yaping Jiang
- Department of Ophthalmology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qian Wang
- Department of Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Weishu An
- Department of Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiaoyan Zhang
- Department of Ophthalmology, Huashan Hospital, Fudan University, Shanghai, China
| | - Ming Xu
- Department of Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yihui Chen
- Department of Ophthalmology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai, China
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Ribosome-Associated ncRNAs (rancRNAs) Adjust Translation and Shape Proteomes. Noncoding RNA 2022; 8:ncrna8020022. [PMID: 35314615 PMCID: PMC8938821 DOI: 10.3390/ncrna8020022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/05/2022] [Accepted: 03/08/2022] [Indexed: 12/02/2022] Open
Abstract
The regulation of protein synthesis is of extreme importance for cell survival in challenging environmental conditions. Modulating gene expression at the level of translation allows a swift and low-energy-cost response to external stimuli. In the last decade, an emerging class of regulatory ncRNAs, namely ribosome-associated non-coding RNAs (rancRNAs), has been discovered. These rancRNAs have proven to be efficient players in the regulation of translation as a first wave of stress adaptation by directly targeting the ribosome, the central enzyme of protein production. This underlying principle appears to be highly conserved, since rancRNAs are present in all three domains of life. Here, we review the major findings and mechanistic peculiarities of rancRNAs, a class of transcripts that is providing new and broader perspectives on the complexity of the ribosome and translation regulation.
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11
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Zhu W, Zhang T, Luan S, Kong Q, Hu W, Zou X, Zheng F, Han W. Identification of a novel nine-SnoRNA signature with potential prognostic and therapeutic value in ovarian cancer. Cancer Med 2022; 11:2159-2170. [PMID: 35187852 PMCID: PMC9119353 DOI: 10.1002/cam4.4598] [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: 10/27/2021] [Revised: 11/23/2021] [Accepted: 12/28/2021] [Indexed: 11/18/2022] Open
Abstract
Background Increasing evidence has been confirmed that small nucleolar RNAs (SnoRNAs) play critical roles in tumorigenesis and exhibit prognostic value in clinical practice. However, there is short of systematic research on SnoRNAs in ovarian cancer (OV). Material/Methods 379 OV patients with RNA‐Seq and clinical parameters from TCGA database and 5 paired clinical OV tissues were embedded in our study. Cox regression analysis was used to identify prognostic SnoRNAs and construct prediction model. SNORic database was adopted to examine the copy number variation of SnoRNAs. ROC curves and KM plot curves were applied to validate the prognostic model. Besides, the model was validated in 5 paired clinical tissues by real‐time PCR, H&E staining and immunohistochemistry. Results A prognostic model was constructed on the basis of SnoRNAs in OV patients. Patients with higher RiskScore had poor clinicopathological parameters, including higher age, larger tumor size, advanced stage and with tumor status. KM plot analysis confirmed that patients with higher RiskScore had poorer prognosis in subgroup of age, tumor size, and stage. 7 of 9 SnoRNAs in the prognostic model had positive correlation with their host genes. Moreover, 5 of 9 SnoRNAs in the prognostic model correlated with their CNVs, and SNORD105B had the strongest correction with its CNVs. ROC curve showed that the RiskScore had excellent specificity and accuracy. Further, results of H&E staining and immunohistochemistry of Ki67, P53 and P16 confirmed that patients with higher RiskScore are more malignant. Conclusions In summary, we identified a nine‐SnoRNAs signature as an independent indicator to predict prognosis of OV, providing a prospective prognostic biomarker and potential therapeutic targets for ovarian cancer.
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Affiliation(s)
- Wenjing Zhu
- Clinical Research Center, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.,Department of Respiratory and Critical Care Medicine, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, Shandong, China.,Respiratory Disease Key Laboratory of Qingdao, Qingdao Municipal Hospital, Qingdao, China
| | - Tao Zhang
- Department of Gynecology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, Shandong, China
| | - Shaohong Luan
- Department of Gynecology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, Shandong, China
| | - Qingnuan Kong
- Department of Pathology, Qingdao Municipal Hospital, Qingdao, Shandong Province, China
| | - Wenmin Hu
- School of Medicine and Pharmacy, Ocean University of China, Qingdao, China
| | - Xin Zou
- Department of Pathology Qingdao Municipal Hospital, Dalian Medical University, Dalian, China
| | - Feibo Zheng
- Department of Nuclear Medicine, Qingdao Municipal Hospital, Qingdao University, Qingdao, China
| | - Wei Han
- Department of Respiratory and Critical Care Medicine, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, Shandong, China.,Respiratory Disease Key Laboratory of Qingdao, Qingdao Municipal Hospital, Qingdao, China
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12
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Alvarado-Hernandez B, Ma Y, Sharma NR, Majerciak V, Lobanov A, Cam M, Zhu J, Zheng ZM. Protein-RNA Interactome Analysis Reveals Wide Association of Kaposi's Sarcoma-Associated Herpesvirus ORF57 with Host Noncoding RNAs and Polysomes. J Virol 2022; 96:e0178221. [PMID: 34787459 PMCID: PMC8826805 DOI: 10.1128/jvi.01782-21] [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: 10/15/2021] [Accepted: 11/07/2021] [Indexed: 12/15/2022] Open
Abstract
Kaposi's sarcoma-associated herpesvirus (KSHV) ORF57 is an RNA-binding posttranscriptional regulator. We recently applied an affinity-purified anti-ORF57 antibody to conduct ORF57 cross-linking immunoprecipitation (CLIP) in combination with RNA-sequencing (CLIP-seq) and analyzed the genome-wide host RNA transcripts in association with ORF57 in BCBL-1 cells with lytic KSHV infection. Mapping of the CLIP RNA reads to the human genome (GRCh37) revealed that most of the ORF57-associated RNA reads were from rRNAs. The remaining RNA reads mapped to several classes of host noncoding and protein-coding mRNAs. We found that ORF57 binds and regulates expression of a subset of host long noncoding RNAs (lncRNAs), including LINC00324, LINC00355, and LINC00839, which are involved in cell growth. ORF57 binds small nucleolar RNAs (snoRNAs) responsible for 18S and 28S rRNA modifications but does not interact with fibrillarin or NOP58. We validated ORF57 interactions with 67 snoRNAs by ORF57 RNA immunoprecipitation (RIP)-snoRNA array assays. Most of the identified ORF57 rRNA binding sites (BS) overlap the sites binding snoRNAs. We confirmed ORF57-snoRA71B RNA interaction in BCBL-1 cells by ORF57 RIP and Northern blot analyses using a 32P-labeled oligonucleotide probe from the 18S rRNA region complementary to snoRA71B. Using RNA oligonucleotides from the rRNA regions that ORF57 binds for oligonucleotide pulldown-Western blot assays, we selectively verified ORF57 interactions with 5.8S and 18S rRNAs. Polysome profiling revealed that ORF57 associates with both monosomes and polysomes and that its association with polysomes increases PABPC1 binding to polysomes but prevents Ago2 association with polysomes. Our data indicate a functional correlation with ORF57 binding and suppression of Ago2 activities for ORF57 promotion of gene expression. IMPORTANCE As an RNA-binding protein, KSHV ORF57 regulates RNA splicing, stability, and translation and inhibits host innate immunity by blocking the formation of RNA granules in virus-infected cells. In this study, ORF57 was found to interact with many host noncoding RNAs, including lncRNAs, snoRNAs, and rRNAs, to carry out additional unknown functions. ORF57 binds a group of lncRNAs via the RNA motifs identified by ORF57 CLIP-seq to regulate their expression. ORF57 associates with snoRNAs independently of fibrillarin and NOP58 proteins and with rRNA in the regions that commonly bind snoRNAs. Knockdown of fibrillarin expression decreases the expression of snoRNAs and CDK4 but does not affect viral gene expression. More importantly, we found that ORF57 binds translationally active polysomes and enhances PABPC1 but prevents Ago2 association with polysomes. Data provide compelling evidence on how ORF57 in KSHV-infected cells might regulate protein synthesis by blocking Ago2's hostile activities on translation.
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Affiliation(s)
- Beatriz Alvarado-Hernandez
- Tumor Virus RNA Biology Section, HIV Dynamics and Replication Program, Center for Cancer Research, NCI/NIH, Frederick, Maryland, USA
| | - Yanping Ma
- Tumor Virus RNA Biology Section, HIV Dynamics and Replication Program, Center for Cancer Research, NCI/NIH, Frederick, Maryland, USA
| | - Nishi R. Sharma
- Tumor Virus RNA Biology Section, HIV Dynamics and Replication Program, Center for Cancer Research, NCI/NIH, Frederick, Maryland, USA
| | - Vladimir Majerciak
- Tumor Virus RNA Biology Section, HIV Dynamics and Replication Program, Center for Cancer Research, NCI/NIH, Frederick, Maryland, USA
| | - Alexei Lobanov
- CCR Collaborative Bioinformatics Resource, Center for Cancer Research, NCI/NIH, Bethesda, Maryland, USA
| | - Maggie Cam
- CCR Collaborative Bioinformatics Resource, Center for Cancer Research, NCI/NIH, Bethesda, Maryland, USA
| | - Jun Zhu
- Genome Technology Laboratory, System Biology Center, NHLBI/NIH, Bethesda, Maryland, USA
| | - Zhi-Ming Zheng
- Tumor Virus RNA Biology Section, HIV Dynamics and Replication Program, Center for Cancer Research, NCI/NIH, Frederick, Maryland, USA
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13
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Liang C, Huang M, Li T, Li L, Sussman H, Dai Y, Siemann DW, Xie M, Tang X. Towards an integrative understanding of cancer mechanobiology: calcium, YAP, and microRNA under biophysical forces. SOFT MATTER 2022; 18:1112-1148. [PMID: 35089300 DOI: 10.1039/d1sm01618k] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
An increasing number of studies have demonstrated the significant roles of the interplay between microenvironmental mechanics in tissues and biochemical-genetic activities in resident tumor cells at different stages of tumor progression. Mediated by molecular mechano-sensors or -transducers, biomechanical cues in tissue microenvironments are transmitted into the tumor cells and regulate biochemical responses and gene expression through mechanotransduction processes. However, the molecular interplay between the mechanotransduction processes and intracellular biochemical signaling pathways remains elusive. This paper reviews the recent advances in understanding the crosstalk between biomechanical cues and three critical biochemical effectors during tumor progression: calcium ions (Ca2+), yes-associated protein (YAP), and microRNAs (miRNAs). We address the molecular mechanisms underpinning the interplay between the mechanotransduction pathways and each of the three effectors. Furthermore, we discuss the functional interactions among the three effectors in the context of soft matter and mechanobiology. We conclude by proposing future directions on studying the tumor mechanobiology that can employ Ca2+, YAP, and miRNAs as novel strategies for cancer mechanotheraputics. This framework has the potential to bring insights into the development of novel next-generation cancer therapies to suppress and treat tumors.
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Affiliation(s)
- Chenyu Liang
- Department of Mechanical & Aerospace Engineering, Herbert Wertheim College of Engineering (HWCOE), Gainesville, FL, 32611, USA.
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
| | - Miao Huang
- Department of Mechanical & Aerospace Engineering, Herbert Wertheim College of Engineering (HWCOE), Gainesville, FL, 32611, USA.
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
| | - Tianqi Li
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
- Department of Biochemistry and Molecular Biology, College of Medicine (COM), Gainesville, FL, 32611, USA.
| | - Lu Li
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
- Department of Biochemistry and Molecular Biology, College of Medicine (COM), Gainesville, FL, 32611, USA.
| | - Hayley Sussman
- Department of Radiation Oncology, COM, Gainesville, FL, 32611, USA
| | - Yao Dai
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
- UF Genetics Institute (UFGI), University of Florida (UF), Gainesville, FL, 32611, USA
| | - Dietmar W Siemann
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
- UF Genetics Institute (UFGI), University of Florida (UF), Gainesville, FL, 32611, USA
| | - Mingyi Xie
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
- Department of Biochemistry and Molecular Biology, College of Medicine (COM), Gainesville, FL, 32611, USA.
- Department of Biomedical Engineering, College of Engineering (COE), University of Delaware (UD), Newark, DE, 19716, USA
| | - Xin Tang
- Department of Mechanical & Aerospace Engineering, Herbert Wertheim College of Engineering (HWCOE), Gainesville, FL, 32611, USA.
- UF Health Cancer Center (UFHCC), Gainesville, FL, 32611, USA
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14
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Kleiber N, Lemus-Diaz N, Stiller C, Heinrichs M, Mai MMQ, Hackert P, Richter-Dennerlein R, Höbartner C, Bohnsack KE, Bohnsack MT. The RNA methyltransferase METTL8 installs m 3C 32 in mitochondrial tRNAs Thr/Ser(UCN) to optimise tRNA structure and mitochondrial translation. Nat Commun 2022; 13:209. [PMID: 35017528 PMCID: PMC8752778 DOI: 10.1038/s41467-021-27905-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 12/14/2021] [Indexed: 12/30/2022] Open
Abstract
Modified nucleotides in tRNAs are important determinants of folding, structure and function. Here we identify METTL8 as a mitochondrial matrix protein and active RNA methyltransferase responsible for installing m3C32 in the human mitochondrial (mt-)tRNAThr and mt-tRNASer(UCN). METTL8 crosslinks to the anticodon stem loop (ASL) of many mt-tRNAs in cells, raising the question of how methylation target specificity is achieved. Dissection of mt-tRNA recognition elements revealed U34G35 and t6A37/(ms2)i6A37, present concomitantly only in the ASLs of the two substrate mt-tRNAs, as key determinants for METTL8-mediated methylation of C32. Several lines of evidence demonstrate the influence of U34, G35, and the m3C32 and t6A37/(ms2)i6A37 modifications in mt-tRNAThr/Ser(UCN) on the structure of these mt-tRNAs. Although mt-tRNAThr/Ser(UCN) lacking METTL8-mediated m3C32 are efficiently aminoacylated and associate with mitochondrial ribosomes, mitochondrial translation is mildly impaired by lack of METTL8. Together these results define the cellular targets of METTL8 and shed new light on the role of m3C32 within mt-tRNAs.
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MESH Headings
- Anticodon/chemistry
- Anticodon/metabolism
- Base Pairing
- Cytosine/metabolism
- Gene Expression Regulation
- HEK293 Cells
- Humans
- Methylation
- Methyltransferases/genetics
- Methyltransferases/metabolism
- Mitochondria/genetics
- Mitochondria/metabolism
- Nucleic Acid Conformation
- Protein Binding
- Protein Biosynthesis
- RNA, Mitochondrial/chemistry
- RNA, Mitochondrial/genetics
- RNA, Mitochondrial/metabolism
- RNA, Transfer, Ser/chemistry
- RNA, Transfer, Ser/genetics
- RNA, Transfer, Ser/metabolism
- RNA, Transfer, Thr/chemistry
- RNA, Transfer, Thr/genetics
- RNA, Transfer, Thr/metabolism
- Signal Transduction
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Affiliation(s)
- Nicole Kleiber
- Department of Molecular Biology, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
| | - Nicolas Lemus-Diaz
- Department of Molecular Biology, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
| | - Carina Stiller
- Institute of Organic Chemistry, Universität Würzburg, Am Hubland, 97074, Würzburg, Germany
| | - Marleen Heinrichs
- Department of Cellular Biochemistry, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
| | - Mandy Mong-Quyen Mai
- Department of Cellular Biochemistry, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
| | - Philipp Hackert
- Department of Molecular Biology, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
| | - Ricarda Richter-Dennerlein
- Department of Cellular Biochemistry, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), Göttingen, Germany
| | - Claudia Höbartner
- Institute of Organic Chemistry, Universität Würzburg, Am Hubland, 97074, Würzburg, Germany
| | - Katherine E Bohnsack
- Department of Molecular Biology, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany.
| | - Markus T Bohnsack
- Department of Molecular Biology, University Medical Centre Göttingen, Humboldtallee 23, 37073, Göttingen, Germany.
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), Göttingen, Germany.
- Göttingen Center for Molecular Biosciences, Georg-August University Göttingen, Justus-von-Liebig-Weg 11, Göttingen, 37077, Germany.
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15
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Barros-Silva D, Klavert J, Jenster G, Jerónimo C, Lafontaine DLJ, Martens-Uzunova ES. The role of OncoSnoRNAs and Ribosomal RNA 2'-O-methylation in Cancer. RNA Biol 2021; 18:61-74. [PMID: 34775914 PMCID: PMC8677010 DOI: 10.1080/15476286.2021.1991167] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Ribosomes are essential nanomachines responsible for all protein production in cells. Ribosome biogenesis and function are energy costly processes, they are tightly regulated to match cellular needs. In cancer, major pathways that control ribosome biogenesis and function are often deregulated to ensure cell survival and to accommodate the continuous proliferation of tumour cells. Ribosomal RNAs (rRNAs) are abundantly modified with 2'-O-methylation (Nm, ribomethylation) being one of the most common modifications. In eukaryotic ribosomes, ribomethylation is performed by the methyltransferase Fibrillarin guided by box C/D small nucleolar RNAs (snoRNAs). Accumulating evidences indicate that snoRNA expression and ribosome methylation profiles are altered in cancer. Here we review our current knowledge on differential snoRNA expression and rRNA 2ʹ-O methylation in the context of human malignancies, and discuss the consequences and opportunities for cancer diagnostics, prognostics, and therapeutics.
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Affiliation(s)
- Daniela Barros-Silva
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands.,Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center (Porto.CCC), Porto, Portugal
| | - Jonathan Klavert
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | - Guido Jenster
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group, Research Center of IPO Porto (CI-IPOP) / RISE@CI-IPOP (Health Research Network), Portuguese Oncology Institute of Porto (IPO Porto) / Porto Comprehensive Cancer Center (Porto.CCC), Porto, Portugal.,Department of Pathology and Molecular Immunology, School of Medicine & Biomedical Sciences, University of Porto (Icbas-up), Porto, Portugal
| | - Denis L J Lafontaine
- Rna Molecular Biology, Fonds De La Recherche Scientifique (F.r.s./fnrs), Université Libre De Bruxelles (Ulb), BioPark Campus, Gosselies, Belgium
| | - Elena S Martens-Uzunova
- Department of Urology, Erasmus MC Cancer Institute, University Medical Center, Rotterdam, The Netherlands
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16
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Barreñada O, Larriba E, Brieño-Enriquez MA, Mazo JD. piRNA-IPdb: a PIWI-bound piRNAs database to mining NGS sncRNA data and beyond. BMC Genomics 2021; 22:765. [PMID: 34702185 PMCID: PMC8549166 DOI: 10.1186/s12864-021-08071-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 10/10/2021] [Indexed: 11/10/2022] Open
Abstract
Background PIWI-interacting RNAs (piRNAs) are an abundant single-stranded type of small non-coding RNAs (sncRNAs), which initially were discovered in gonadal cells, with a role as defenders of genomic integrity in the germline, acting against the transposable elements. With a regular size range of 21-35 nt, piRNAs are associated with a PIWI-clade of Argonaute family proteins. The most widely accepted mechanisms of biogenesis for piRNAs involve the transcription of longer precursors of RNAs to be processed, by complexes of proteins, to functional size, preferentially accommodating uridine residues at the 5’ end and 3’ methylation to increase the stability of these molecules. piRNAs have also been detected in somatic cells, with diverse potential functions, indicating their high plasticity and pleiotropic activity. Discovered about two decades ago, piRNAs are a large and versatile type of sncRNA and that remain insufficiently identified and analyzed, through next-generation sequencing (NGS), to evaluate their processing, functions, and biogenesis in different cell types and during development. piRNAs’ distinction from other sncRNAs has led to controversial results and interpretation difficulties when using existing databases because of the heterogeneity of the criteria used in making the distinction. Description We present “piRNA-IPdb”, a database based uniquely on datasets obtaining after the defining characteristic of piRNAs: those small RNAs bound to PIWI proteins. We selected and analyzed sequences from piRBase that exclusively cover the binding to PIWI. We pooled a total of 18,821,815 sequences from RNA-seq after immunoprecipitation that included the binding to any of the mouse PIWI proteins (MILI, MIWI, or MIWI2). Conclusions In summary, we present the characteristics and potential use of piRNA-IPdb database for the analysis of bona fide piRNAs.
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Affiliation(s)
- Odei Barreñada
- Department of Cellular and Molecular Biology, Centro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Ramiro de Maeztu, 9, 28040, Madrid, Spain
| | - Eduardo Larriba
- Institute of Bioengineering, University "Miguel Hernández", 03202, Elche, Spain
| | - Miguel A Brieño-Enriquez
- Department of Obstetrics, Gynecology and Reproductive Sciences, Magee-Womens Research Institute, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA.
| | - Jesús Del Mazo
- Department of Cellular and Molecular Biology, Centro de Investigaciones Biológicas Margarita Salas (CIB-CSIC), Ramiro de Maeztu, 9, 28040, Madrid, Spain.
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17
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Stribling D, Lei Y, Guardia CM, Li L, Fields CJ, Nowialis P, Opavsky R, Renne R, Xie M. A noncanonical microRNA derived from the snaR-A noncoding RNA targets a metastasis inhibitor. RNA (NEW YORK, N.Y.) 2021; 27:694-709. [PMID: 33795480 PMCID: PMC8127991 DOI: 10.1261/rna.078694.121] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Accepted: 03/24/2021] [Indexed: 05/04/2023]
Abstract
MicroRNAs (miRNAs) are small noncoding RNAs that function as critical posttranscriptional regulators in various biological processes. While most miRNAs are generated from processing of long primary transcripts via sequential Drosha and Dicer cleavage, some miRNAs that bypass Drosha cleavage can be transcribed as part of another small noncoding RNA. Here, we develop the target-oriented miRNA discovery (TOMiD) bioinformatic analysis method to identify Drosha-independent miRNAs from Argonaute crosslinking and sequencing of hybrids (Ago-CLASH) data sets. Using this technique, we discovered a novel miRNA derived from a primate specific noncoding RNA, the small NF90 associated RNA A (snaR-A). The miRNA derived from snaR-A (miR-snaR) arises independently of Drosha processing but requires Exportin-5 and Dicer for biogenesis. We identify that miR-snaR is concurrently up-regulated with the full snaR-A transcript in cancer cells. Functionally, miR-snaR associates with Ago proteins and targets NME1, a key metastasis inhibitor, contributing to snaR-A's role in promoting cancer cell migration. Our findings suggest a functional link between a novel miRNA and its precursor noncoding RNA.
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Affiliation(s)
- Daniel Stribling
- Department of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida 32610, USA
- UF Genetics Institute, University of Florida, Gainesville, Florida 32610, USA
- UF Informatics Institute, University of Florida, Gainesville, Florida 32611, USA
| | - Yi Lei
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida 32610, USA
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
| | - Casey M Guardia
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida 32610, USA
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
| | - Lu Li
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida 32610, USA
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
| | - Christopher J Fields
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida 32610, USA
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
| | - Pawel Nowialis
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
- Department of Anatomy and Cell Biology, University of Florida, Gainesville, Florida 32610, USA
| | - Rene Opavsky
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
- Department of Anatomy and Cell Biology, University of Florida, Gainesville, Florida 32610, USA
| | - Rolf Renne
- Department of Molecular Genetics and Microbiology, University of Florida, Gainesville, Florida 32610, USA
- UF Genetics Institute, University of Florida, Gainesville, Florida 32610, USA
- UF Informatics Institute, University of Florida, Gainesville, Florida 32611, USA
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
| | - Mingyi Xie
- UF Genetics Institute, University of Florida, Gainesville, Florida 32610, USA
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, Florida 32610, USA
- UF Health Cancer Center, University of Florida, Gainesville, Florida 32610, USA
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18
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Baldini L, Charpentier B, Labialle S. Emerging Data on the Diversity of Molecular Mechanisms Involving C/D snoRNAs. Noncoding RNA 2021; 7:ncrna7020030. [PMID: 34066559 PMCID: PMC8162545 DOI: 10.3390/ncrna7020030] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 04/28/2021] [Accepted: 04/30/2021] [Indexed: 12/15/2022] Open
Abstract
Box C/D small nucleolar RNAs (C/D snoRNAs) represent an ancient family of small non-coding RNAs that are classically viewed as housekeeping guides for the 2′-O-methylation of ribosomal RNA in Archaea and Eukaryotes. However, an extensive set of studies now argues that they are involved in mechanisms that go well beyond this function. Here, we present these pieces of evidence in light of the current comprehension of the molecular mechanisms that control C/D snoRNA expression and function. From this inventory emerges that an accurate description of these activities at a molecular level is required to let the snoRNA field enter in a second age of maturity.
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Affiliation(s)
| | - Bruno Charpentier
- Correspondence: (B.C.); (S.L.); Tel.: +33-3-72-74-66-27 (B.C.); +33-3-72-74-66-51 (S.L.)
| | - Stéphane Labialle
- Correspondence: (B.C.); (S.L.); Tel.: +33-3-72-74-66-27 (B.C.); +33-3-72-74-66-51 (S.L.)
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