1
|
Xu W, Wu Y, Fang X, Zhang Y, Cai N, Wen J, Liao J, Zhang B, Chen X, Chu L. SnoRD126 promotes the proliferation of hepatocellular carcinoma cells through transcriptional regulation of FGFR2 activation in combination with hnRNPK. Aging (Albany NY) 2021; 13:13300-13317. [PMID: 33891563 PMCID: PMC8148486 DOI: 10.18632/aging.203014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 03/14/2021] [Indexed: 02/07/2023]
Abstract
Liver cancer is the sixth most common malignancy and the fourth leading cause of cancer-related death worldwide. Hepatocellular carcinoma (HCC) is the primary type of liver cancer. Small nucleolar RNA (snoRNA) dysfunctions have been associated with cancer development. SnoRD126 is an orphan C/D box snoRNA. How snoRD126 activates the PI3K-AKT pathway, and which domain of snoRD126 exerts its oncogenic function was heretofore completely unknown. Here, we demonstrate that snoRD126 binds to hnRNPK protein to regulate FGFR2 expression and activate the PI3K-AKT pathway. Importantly, we identified the critical domain of snoRD126 responsible for its cancer-promoting functions. Our study further confirms the role of snoRD126 in the progression of HCC and suggests that knockdown snoRD126 may be of potential value as a novel therapeutic approach for the treatment of HCC.
Collapse
Affiliation(s)
- Weiqi Xu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Yu Wu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Xianlong Fang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China
| | - Yuxin Zhang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Ning Cai
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Jingyuan Wen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Jingyu Liao
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Bixiang Zhang
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Xiaoping Chen
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| | - Liang Chu
- Hepatic Surgery Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Clinical Medical Research Center of Hepatic Surgery in Hubei Province, Wuhan, China
| |
Collapse
|
2
|
Morais P, Adachi H, Yu YT. Spliceosomal snRNA Epitranscriptomics. Front Genet 2021; 12:652129. [PMID: 33737950 PMCID: PMC7960923 DOI: 10.3389/fgene.2021.652129] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 02/08/2021] [Indexed: 12/15/2022] Open
Abstract
Small nuclear RNAs (snRNAs) are critical components of the spliceosome that catalyze the splicing of pre-mRNA. snRNAs are each complexed with many proteins to form RNA-protein complexes, termed as small nuclear ribonucleoproteins (snRNPs), in the cell nucleus. snRNPs participate in pre-mRNA splicing by recognizing the critical sequence elements present in the introns, thereby forming active spliceosomes. The recognition is achieved primarily by base-pairing interactions (or nucleotide-nucleotide contact) between snRNAs and pre-mRNA. Notably, snRNAs are extensively modified with different RNA modifications, which confer unique properties to the RNAs. Here, we review the current knowledge of the mechanisms and functions of snRNA modifications and their biological relevance in the splicing process.
Collapse
Affiliation(s)
| | - Hironori Adachi
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, United States
| | - Yi-Tao Yu
- Department of Biochemistry and Biophysics, Center for RNA Biology, University of Rochester Medical Center, Rochester, NY, United States
| |
Collapse
|
3
|
Xue Y, Chen R, Qu L, Cao X. Noncoding RNA: from dark matter to bright star. SCIENCE CHINA. LIFE SCIENCES 2020; 63:463-468. [PMID: 32189240 DOI: 10.1007/s11427-020-1676-5] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Indexed: 12/16/2022]
Affiliation(s)
- Yuanchao Xue
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Runsheng Chen
- Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Lianghu Qu
- MOE Key Laboratory of Gene Function and Regulation, State Key Laboratory for Biocontrol, School of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, China.
| | - Xiaofeng Cao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research (Beijing), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| |
Collapse
|
4
|
Angrisani A, Tafer H, Stadler PF, Furia M. Developmentally regulated expression and expression strategies of Drosophila snoRNAs. INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY 2015; 61:69-78. [PMID: 25641266 DOI: 10.1016/j.ibmb.2015.01.013] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2014] [Revised: 01/19/2015] [Accepted: 01/20/2015] [Indexed: 06/04/2023]
Abstract
Small nucleolar RNAs constitute a significant portion of the eukaryotic small ncRNA transcriptome and guide site-specific methylation or pseudouridylation of target RNAs. In addition, they can play diverse regulatory roles on gene expression, acting as precursors of smaller fragments able to modulate alternative splicing or operate as microRNAs. Defining their expression strategies and the full repertory of their biological functions is a critical, but still ongoing, process in most organisms. Considering that Drosophila melanogaster is one of the most advantageous model organism for genetic, functional and developmental studies, we analysed the whole genomic organization of its annotated snoRNAs - whose vast majority is known to be embedded in an intronic context - and show by GO term enrichment analysis that protein-coding genes involved in cell division and cytoskeleton organization are those mostly preferred as hosts. This finding was unexpected, and delineates an unpredicted link between snoRNA host genes and cell proliferation that might be of general relevance. We also defined by quantitative RT-PCR the expression of a representative subset of annotated specimens throughout the life cycle, providing a first overview on developmental profiling of the fly snoRNA transcriptome. We found that most of the tested specimens, rather than acting as housekeeping genes with uniform expression, exhibit dynamic developmental expression patterns; moreover, intronic snoRNAs harboured by the same host gene often exhibit distinct temporal profiles, indicating that they can be expressed uncoordinatedly. In addition to provide an updated outline of the fly snoRNA transcriptome, our data highlight that expression of these versatile ncRNAs can be finely regulated.
Collapse
Affiliation(s)
- Alberto Angrisani
- Department of Biology, University of Naples "Federico II", Complesso Universitario Monte Santangelo, via Cinthia, 80126 Napoli, Italy
| | - Hakim Tafer
- Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany
| | - Peter F Stadler
- Bioinformatics Group, Department of Computer Science, and Interdisciplinary Center for Bioinformatics, University of Leipzig, Härtelstrasse 16-18, D-04107 Leipzig, Germany
| | - Maria Furia
- Department of Biology, University of Naples "Federico II", Complesso Universitario Monte Santangelo, via Cinthia, 80126 Napoli, Italy.
| |
Collapse
|
5
|
Adachi H, Yu YT. Insight into the mechanisms and functions of spliceosomal snRNA pseudouridylation. World J Biol Chem 2014; 5:398-408. [PMID: 25426264 PMCID: PMC4243145 DOI: 10.4331/wjbc.v5.i4.398] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2013] [Revised: 05/20/2014] [Accepted: 09/10/2014] [Indexed: 02/05/2023] Open
Abstract
Pseudouridines (Ψs) are the most abundant and highly conserved modified nucleotides found in various stable RNAs of all organisms. Most Ψs are clustered in regions that are functionally important for pre-mRNA splicing. Ψ has an extra hydrogen bond donor that endows RNA molecules with distinct properties that contribute significantly to RNA-mediated cellular processes. Experimental data indicate that spliceosomal snRNA pseudouridylation can be catalyzed by both RNA-dependent and RNA-independent mechanisms. Recent work has also demonstrated that pseudouridylation can be induced at novel positions under stress conditions, suggesting a regulatory role for Ψ.
Collapse
|
6
|
McMahon M, Contreras A, Ruggero D. Small RNAs with big implications: new insights into H/ACA snoRNA function and their role in human disease. WILEY INTERDISCIPLINARY REVIEWS-RNA 2014; 6:173-89. [PMID: 25363811 DOI: 10.1002/wrna.1266] [Citation(s) in RCA: 104] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2014] [Revised: 07/25/2014] [Accepted: 08/07/2014] [Indexed: 12/26/2022]
Abstract
A myriad of structurally and functionally diverse noncoding RNAs (ncRNAs) have recently been implicated in numerous human diseases including cancer. Small nucleolar RNAs (snoRNAs), the most abundant group of intron-encoded ncRNAs, are classified into two families (box C/D snoRNAs and box H/ACA snoRNAs) and are required for post-transcriptional modifications on ribosomal RNA (rRNA). There is now a growing appreciation that nucleotide modifications on rRNA may impart regulatory potential to the ribosome; however, the functional consequence of site-specific snoRNA-guided modifications remains poorly defined. Discovered almost 20 years ago, H/ACA snoRNAs are required for the conversion of specific uridine residues to pseudouridine on rRNA. Interestingly, recent reports indicate that the levels of subsets of H/ACA snoRNAs required for pseudouridine modifications at specific sites on rRNA are altered in several diseases, particularly cancer. In this review, we describe recent advances in understanding the downstream consequences of H/ACA snoRNA-guided modifications on ribosome function, discuss the possible mechanism by which H/ACA snoRNAs may be regulated, and explore prospective expanding functions of H/ACA snoRNAs. Furthermore, we discuss the potential biological implications of alterations in H/ACA snoRNA expression in several human diseases.
Collapse
Affiliation(s)
- Mary McMahon
- School of Medicine and Department of Urology, Helen Diller Comprehensive Cancer Center, University of California San Francisco, San Francisco, CA, USA
| | | | | |
Collapse
|
7
|
Machyna M, Heyn P, Neugebauer KM. Cajal bodies: where form meets function. WILEY INTERDISCIPLINARY REVIEWS-RNA 2012; 4:17-34. [PMID: 23042601 DOI: 10.1002/wrna.1139] [Citation(s) in RCA: 143] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The cell nucleus contains dozens of subcompartments that separate biochemical processes into confined spaces. Cajal bodies (CBs) were discovered more than 100 years ago, but only extensive research in the past decades revealed the surprising complexity of molecular and cellular functions taking place in these structures. Many protein and RNA species are modified and assembled within CBs, which have emerged as a meeting place and factory for ribonucleoprotein (RNP) particles involved in splicing, ribosome biogenesis and telomere maintenance. Recently, a distinct structure near histone gene clusters--the Histone locus body (HLB)--was discovered. Involved in histone mRNA 3'-end formation, HLBs can share several components with CBs. Whether the appearance of distinct HLBs is simply a matter of altered affinity between these structures or of an alternate mode of CB assembly is unknown. However, both structures share basic assembly properties, in which transcription plays a decisive role in initiation. After this seeding event, additional components associate in random order. This appears to be a widespread mechanism for body assembly. CB assembly encompasses an additional layer of complexity, whereby a set of pre-existing substructures can be integrated into mature CBs. We propose this as a multi-seeding model of CB assembly.
Collapse
Affiliation(s)
- Martin Machyna
- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany
| | | | | |
Collapse
|
8
|
Abstract
RNA-guided RNA 2'-O-methylation and pseudouridylation are naturally occurring processes, in which guide RNAs specifically direct modifications to rRNAs or spliceosomal snRNAs in the nucleus of eukaryotic cells. Modifications can profoundly alter the properties of an RNA, thus influencing the contributions of the RNA to the cellular process in which it participates. Recently, it has been shown that, by expressing artificial guide RNAs (derived from naturally occurring guide RNAs), modifications can also be specifically introduced into other RNAs, thus offering an opportunity to study RNAs in vivo. Here, we present strategies for constructing guide RNAs and manipulating RNA modifications in the nucleus.
Collapse
|
9
|
Abstract
Spliceosomal snRNAs are extensively 2'-O-methylated and pseudouridylated. The modified nucleotides are relatively highly conserved across species, and are often clustered in regions of functional importance in pre-mRNA splicing. Over the past decade, the study of the mechanisms and functions of spliceosomal snRNA modifications has intensified. Two independent mechanisms behind these modifications, RNA-independent (protein-only) and RNA-dependent (RNA-guided), have been discovered. The role of spliceosomal snRNA modifications in snRNP biogenesis and spliceosome assembly has also been verified.
Collapse
Affiliation(s)
- John Karijolich
- Department of Biochemistry and Biophysics, University of Rochester Medical Center, Rochester, NY, USA
| | | |
Collapse
|
10
|
Wang PPS, Ruvinsky I. Computational prediction of Caenorhabditis box H/ACA snoRNAs using genomic properties of their host genes. RNA (NEW YORK, N.Y.) 2010; 16:290-298. [PMID: 20038629 PMCID: PMC2811658 DOI: 10.1261/rna.1876210] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2009] [Accepted: 10/27/2009] [Indexed: 05/28/2023]
Abstract
Identification of small nucleolar RNAs (snoRNAs) in genomic sequences has been challenging due to the relative paucity of sequence features. Many current prediction algorithms rely on detection of snoRNA motifs complementary to target sites in snRNAs and rRNAs. However, recent discovery of snoRNAs without apparent targets requires development of alternative prediction methods. We present an approach that combines rule-based filters and a Bayesian Classifier to identify a class of snoRNAs (H/ACA) without requiring target sequence information. It takes advantage of unique attributes of their genomic organization and improved species-specific motif characterization to predict snoRNAs that may otherwise be difficult to discover. Searches in the genomes of Caenorhabditis elegans and the closely related Caenorhabditis briggsae suggest that our method performs well compared to recent benchmark algorithms. Our results illustrate the benefits of training gene discovery engines on features restricted to particular phylogenetic groups and the utility of incorporating diverse data types in gene prediction.
Collapse
Affiliation(s)
- Paul Po-Shen Wang
- Department of Ecology and Evolution , University of Chicago, Chicago, Illinois 60637, USA
| | | |
Collapse
|
11
|
Liu N, Xiao ZD, Yu CH, Shao P, Liang YT, Guan DG, Yang JH, Chen CL, Qu LH, Zhou H. SnoRNAs from the filamentous fungus Neurospora crassa: structural, functional and evolutionary insights. BMC Genomics 2009; 10:515. [PMID: 19895704 PMCID: PMC2780460 DOI: 10.1186/1471-2164-10-515] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2009] [Accepted: 11/08/2009] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND SnoRNAs represent an excellent model for studying the structural and functional evolution of small non-coding RNAs involved in the post-transcriptional modification machinery for rRNAs and snRNAs in eukaryotic cells. Identification of snoRNAs from Neurospora crassa, an important model organism playing key roles in the development of modern genetics, biochemistry and molecular biology will provide insights into the evolution of snoRNA genes in the fungus kingdom. RESULTS Fifty five box C/D snoRNAs were identified and predicted to guide 71 2'-O-methylated sites including four sites on snRNAs and three sites on tRNAs. Additionally, twenty box H/ACA snoRNAs, which potentially guide 17 pseudouridylations on rRNAs, were also identified. Although not exhaustive, the study provides the first comprehensive list of two major families of snoRNAs from the filamentous fungus N. crassa. The independently transcribed strategy dominates in the expression of box H/ACA snoRNA genes, whereas most of the box C/D snoRNA genes are intron-encoded. This shows that different genomic organizations and expression modes have been adopted by the two major classes of snoRNA genes in N. crassa . Remarkably, five gene clusters represent an outstanding organization of box C/D snoRNA genes, which are well conserved among yeasts and multicellular fungi, implying their functional importance for the fungus cells. Interestingly, alternative splicing events were found in the expression of two polycistronic snoRNA gene hosts that resemble the UHG-like genes in mammals. Phylogenetic analysis further revealed that the extensive separation and recombination of two functional elements of snoRNA genes has occurred during fungus evolution. CONCLUSION This is the first genome-wide analysis of the filamentous fungus N. crassa snoRNAs that aids in understanding the differences between unicellular fungi and multicellular fungi. As compared with two yeasts, a more complex pattern of methylation guided by box C/D snoRNAs in multicellular fungus than in unicellular yeasts was revealed, indicating the high diversity of post-transcriptional modification guided by snoRNAs in the fungus kingdom.
Collapse
Affiliation(s)
- Na Liu
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Zhen-Dong Xiao
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Chun-Hong Yu
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Peng Shao
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Yin-Tong Liang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Dao-Gang Guan
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Jian-Hua Yang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Chun-Long Chen
- Centre National de la Recherche Scientifique (CNRS), UPR 2167, CGM, Gif sur Yvette, 91198, France
| | - Liang-Hu Qu
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| | - Hui Zhou
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Sun Yat-sen University, Guangzhou 510275, PR China
| |
Collapse
|
12
|
Scott MS, Avolio F, Ono M, Lamond AI, Barton GJ. Human miRNA precursors with box H/ACA snoRNA features. PLoS Comput Biol 2009; 5:e1000507. [PMID: 19763159 PMCID: PMC2730528 DOI: 10.1371/journal.pcbi.1000507] [Citation(s) in RCA: 152] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2009] [Accepted: 08/14/2009] [Indexed: 12/01/2022] Open
Abstract
MicroRNAs (miRNAs) and small nucleolar RNAs (snoRNAs) are two classes of small non-coding regulatory RNAs, which have been much investigated in recent years. While their respective functions in the cell are distinct, they share interesting genomic similarities, and recent sequencing projects have identified processed forms of snoRNAs that resemble miRNAs. Here, we investigate a possible evolutionary relationship between miRNAs and box H/ACA snoRNAs. A comparison of the genomic locations of reported miRNAs and snoRNAs reveals an overlap of specific members of these classes. To test the hypothesis that some miRNAs might have evolved from snoRNA encoding genomic regions, reported miRNA-encoding regions were scanned for the presence of box H/ACA snoRNA features. Twenty miRNA precursors show significant similarity to H/ACA snoRNAs as predicted by snoGPS. These include molecules predicted to target known ribosomal RNA pseudouridylation sites in vivo for which no guide snoRNA has yet been reported. The predicted folded structures of these twenty H/ACA snoRNA-like miRNA precursors reveal molecules which resemble the structures of known box H/ACA snoRNAs. The genomic regions surrounding these predicted snoRNA-like miRNAs are often similar to regions around snoRNA retroposons, including the presence of transposable elements, target site duplications and poly (A) tails. We further show that the precursors of five H/ACA snoRNA-like miRNAs (miR-151, miR-605, mir-664, miR-215 and miR-140) bind to dyskerin, a specific protein component of functional box H/ACA small nucleolar ribonucleoprotein complexes suggesting that these molecules have retained some H/ACA snoRNA functionality. The detection of small RNA molecules that share features of miRNAs and snoRNAs suggest that these classes of RNA may have an evolutionary relationship. The major functions known for RNA were long believed to be either messenger RNAs, which function as intermediates between genes and proteins, or ribosomal RNAs and transfer RNAs which carry out the translation process. In recent years, however, newly discovered classes of small RNAs have been shown to play important cellular roles. These include microRNAs (miRNAs), which can regulate the production of specific proteins, and small nucleolar RNAs (snoRNAs), which recognise and chemically modify specific sequences in ribosomal RNA. Although miRNAs and snoRNAs are currently believed to be generated by different cellular pathways and to function in different cellular compartments, members of these two types of small RNAs display numerous genomic similarities, and a small number of snoRNAs have been shown to encode miRNAs in several organisms. Here we systematically investigate a possible evolutionary relationship between snoRNAs and miRNAs. Using computational analysis, we identify twenty genomic regions encoding miRNAs with highly significant similarity to snoRNAs, both on the level of their surrounding genomic context as well as their predicted folded structure. A subset of these miRNAs display functional snoRNA characteristics, strengthening the possibility that these miRNA molecules might have evolved from snoRNAs.
Collapse
Affiliation(s)
- Michelle S Scott
- Division of Biological Chemistry and Drug Discovery, College of Life Sciences, University of Dundee, Dundee, United Kingdom.
| | | | | | | | | |
Collapse
|
13
|
Fayet-Lebaron E, Atzorn V, Henry Y, Kiss T. 18S rRNA processing requires base pairings of snR30 H/ACA snoRNA to eukaryote-specific 18S sequences. EMBO J 2009; 28:1260-70. [PMID: 19322192 PMCID: PMC2664660 DOI: 10.1038/emboj.2009.79] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2008] [Accepted: 03/04/2009] [Indexed: 02/08/2023] Open
Abstract
The H/ACA RNAs represent an abundant, evolutionarily conserved and functionally diverse class of non-coding RNAs. Many H/ACA RNAs direct pseudouridylation of rRNAs and snRNAs, while members of the rapidly growing group of 'orphan' H/ACA RNAs participate in pre-rRNA processing, telomere synthesis and probably, in other nuclear processes. The yeast snR30 'orphan' H/ACA snoRNA has long been known to function in the nucleolytic processing of 18S rRNA, but its molecular role remained unknown. Here, we provide biochemical and genetic evidence demonstrating that during pre-rRNA processing, two evolutionarily conserved sequence elements in the 3'-hairpin of snR30 base-pair with short pre-rRNA sequences located in the eukaryote-specific internal region of 18S rRNA. The newly discovered snR30-18S base-pairing interactions are essential for 18S rRNA production and they constitute a complex snoRNA target RNA transient structure that is novel to H/ACA RNAs. We also demonstrate that besides the 18S recognition motifs, the distal part of the 3'-hairpin of snR30 contains an additional snoRNA element that is essential for 18S rRNA processing and that functions most likely as a snoRNP protein-binding site.
Collapse
Affiliation(s)
- Eléonore Fayet-Lebaron
- Laboratoire de Biologie Moléculaire Eucaryote du CNRS, UMR5099, IFR109 CNRS, Université Paul Sabatier, Toulouse, France
| | | | | | | |
Collapse
|
14
|
Genome-wide analysis of chicken snoRNAs provides unique implications for the evolution of vertebrate snoRNAs. BMC Genomics 2009; 10:86. [PMID: 19232134 PMCID: PMC2653536 DOI: 10.1186/1471-2164-10-86] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2008] [Accepted: 02/22/2009] [Indexed: 01/02/2023] Open
Abstract
Background Small nucleolar RNAs (snoRNAs) represent one of the largest groups of functionally diverse trans-acting non-protein-coding (npc) RNAs currently known in eukaryotic cells. Chicken snoRNAs have been very poorly characterized when compared to other vertebrate snoRNAs. A genome-wide analysis of chicken snoRNAs is therefore of great importance to further understand the functional evolution of snoRNAs in vertebrates. Results Two hundred and one gene variants encoding 93 box C/D and 62 box H/ACA snoRNAs were identified in the chicken genome and are predicted to guide 86 2'-O-ribose methylations and 69 pseudouridylations of rRNAs and spliceosomal RNAs. Forty-four snoRNA clusters were grouped into four categories based on synteny characteristics of the clustered snoRNAs between chicken and human. Comparative analyses of chicken snoRNAs revealed extensive recombination and separation of guiding function, with cooperative evolution between the guiding duplexes and modification sites. The gas5-like snoRNA host gene appears to be a hotspot of snoRNA gene expansion in vertebrates. Our results suggest that the chicken is a good model for the prediction of functional snoRNAs, and that intragenic duplication and divergence might be the major driving forces responsible for expansion of novel snoRNA genes in the chicken genome. Conclusion We have provided a detailed catalog of chicken snoRNAs that aids in understanding snoRNA gene repertoire differences between avians and other vertebrates. Our genome-wide analysis of chicken snoRNAs improves annotation of the 'darkness matter' in the npcRNA world and provides a unique perspective into snoRNA evolution in vertebrates.
Collapse
|
15
|
Harbers M. The current status of cDNA cloning. Genomics 2008; 91:232-42. [PMID: 18222633 DOI: 10.1016/j.ygeno.2007.11.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2007] [Revised: 11/10/2007] [Accepted: 11/17/2007] [Indexed: 11/19/2022]
Abstract
The cloning of cDNAs, copies of cellular RNA, is one of the classical technologies in molecular biology. Over the past 30 years cDNA cloning technologies have been improved to enable the cloning of large cDNA collections, which are fundamental to today's understanding of the utilization of genetic information. With the discovery of noncoding RNAs, additional new approaches to the cloning of short RNAs have been developed. However, with the realization that much larger portions of genomes are transcribed than anticipated from genome annotations, cDNA cloning faces new challenges to uncover rare transcripts and to make the corresponding cDNAs available for functional studies. This review provides an overview on the current status of cDNA cloning and possibilities for the discovery and characterization of new RNA families.
Collapse
Affiliation(s)
- Matthias Harbers
- DNAFORM, Inc., Leading Venture Plaza 2, 75-1 Ono-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0046, Japan.
| |
Collapse
|
16
|
Chakrabarti K, Pearson M, Grate L, Sterne-Weiler T, Deans J, Donohue JP, Ares M. Structural RNAs of known and unknown function identified in malaria parasites by comparative genomics and RNA analysis. RNA (NEW YORK, N.Y.) 2007; 13:1923-39. [PMID: 17901154 PMCID: PMC2040097 DOI: 10.1261/rna.751807] [Citation(s) in RCA: 75] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
As the genomes of more eukaryotic pathogens are sequenced, understanding how molecular differences between parasite and host might be exploited to provide new therapies has become a major focus. Central to cell function are RNA-containing complexes involved in gene expression, such as the ribosome, the spliceosome, snoRNAs, RNase P, and telomerase, among others. In this article we identify by comparative genomics and validate by RNA analysis numerous previously unknown structural RNAs encoded by the Plasmodium falciparum genome, including the telomerase RNA, U3, 31 snoRNAs, as well as previously predicted spliceosomal snRNAs, SRP RNA, MRP RNA, and RNAse P RNA. Furthermore, we identify six new RNA coding genes of unknown function. To investigate the relationships of the RNA coding genes to other genomic features in related parasites, we developed a genome browser for P. falciparum (http://areslab.ucsc.edu/cgi-bin/hgGateway). Additional experiments provide evidence supporting the prediction that snoRNAs guide methylation of a specific position on U4 snRNA, as well as predicting an snRNA promoter element particular to Plasmodium sp. These findings should allow detailed structural comparisons between the RNA components of the gene expression machinery of the parasite and its vertebrate hosts.
Collapse
Affiliation(s)
- Kausik Chakrabarti
- Department of Molecular, Cell and Developmental Biology, Center for Molecular Biology of RNA, University of California at Santa Cruz, Santa Cruz, CA 95064, USA
| | | | | | | | | | | | | |
Collapse
|
17
|
Piekna-Przybylska D, Decatur WA, Fournier MJ. The 3D rRNA modification maps database: with interactive tools for ribosome analysis. Nucleic Acids Res 2007; 36:D178-83. [PMID: 17947322 PMCID: PMC2238946 DOI: 10.1093/nar/gkm855] [Citation(s) in RCA: 166] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
The 3D rRNA modification maps database is the first general resource of information about the locations of modified nucleotides within the 3D structure of the full ribosome, with mRNA and tRNAs in the A-, P- and E-sites. The database supports analyses for several model organisms, including higher eukaryotes, and enables users to construct 3D maps for other organisms. Data are provided for human and plant (Arabidopsis) ribosomes, and for other representative organisms from eubacteria, archaea and eukarya. Additionally, the database integrates information about positions of modifications within rRNA sequences and secondary structures, as well as links to other databases and resources about modifications and their biosynthesis. Displaying positions of modified nucleotides is fully manageable. Views of each modified nucleotide are controlled by individual buttons and buttons also control the visibility of different ribosomal molecular components. A section called 'Paint Your Own' enables the user to create a 3D modification map for rRNA from any organism where sites of modification are known. This section also provides capabilities for visualizing nucleotides of interest in rRNA or tRNA, as well as particular amino acids in ribosomal proteins. The database can be accessed at http://people.biochem.umass.edu/fournierlab/3dmodmap/
Collapse
Affiliation(s)
- Dorota Piekna-Przybylska
- Department of Biochemistry and Molecular Biology, University of Massachusetts, Amherst, MA 01003, USA
| | | | | |
Collapse
|
18
|
Huang ZP, Chen CJ, Zhou H, Li BB, Qu LH. A combined computational and experimental analysis of two families of snoRNA genes from Caenorhabditis elegans, revealing the expression and evolution pattern of snoRNAs in nematodes. Genomics 2007; 89:490-501. [PMID: 17222528 DOI: 10.1016/j.ygeno.2006.12.002] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2006] [Revised: 11/09/2006] [Accepted: 12/02/2006] [Indexed: 12/28/2022]
Abstract
Small nucleolar RNAs (snoRNAs) are an abundant group of noncoding RNAs mainly involved in the posttranscriptional modifications of rRNAs in eukaryotes. Prior to this study, only 28 snoRNA genes had been identified from Caenorhabditis elegans, indicating that most snoRNA genes are hidden in the worm genome, which represents a simple multicellular metazoan. In this study, a genome-wide analysis of the two major families of snoRNA genes in C. elegans was performed using the snoscan and snoGPS programs incorporating comparative genome analyses. Seventy gene variants, including 36 box C/D and 34 box H/ACA snoRNA genes, were identified, of which 50 are novel. Two families of snoRNAs showed a characteristic genomic organization. Notably, 6 box C/D snoRNA genes were located in the antisense orientation of introns. In contrast to insect and mammal, the distances between many intronic snoRNAs and 3' splice sites of introns were less than 50 nt in the worm, an unexpected finding as intron-encoded snoRNAs in C. elegans are supposed to be expressed in a splicing-dependent pathway. Interestingly, a canonical H/ACA snoRNA, PsiCeU5-48, was revealed to be partially homologous to small Cajal body-specific RNA (scaRNA) U85 and U89 in fly and human, indicating a possible evolutionary relationship between snoRNAs and scaRNAs.
Collapse
Affiliation(s)
- Zhan-Peng Huang
- Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory for Biocontrol, Zhongshan University, Guangzhou, 510275, China
| | | | | | | | | |
Collapse
|
19
|
Abstract
The family of box H/ACA snoRNA is an abundant class of non-protein-coding RNAs, which play important roles in the post-transcriptional modification of rRNAs and snRNAs. Here we report the characterization in the human genome of 202 sequences derived from box H/ACA snoRNAs. Most of them were retrogenes formed using the L1 integration machinery. About 96% of the box H/ACA RNA-related sequences are found in corresponding locations on the chimpanzee and human chromosomes, while the mouse shares approximately 50% of these human sequences, suggesting that some of the H/ACA RNA-related sequences in primate occurred after the rodent/primate divergence. Of the H/ACA RNA-related sequences, 49% are found in intronic regions of protein-coding genes and 64 H/ACA-related sequences can be folded to the typical secondary structure of the box H/ACA snoRNA family, while 30 of them were recognized as functional homologs of their corresponding box H/ACA snoRNAs previously reported. Of the 64 sequences with the typical secondary structure of the box H/ACA RNA family, 11 were found in EST databases and 5 among which were shown to be expressed in more than one human tissue. Notably, U107f is nested in an intron of a protein gene coding for nudix-type motif 13, but expressed from the opposite strand, and the searching of EST databases revealed it can be expressed in liver and spleen, even in melanotic melanoma.
Collapse
|
20
|
Yang JH, Zhang XC, Huang ZP, Zhou H, Huang MB, Zhang S, Chen YQ, Qu LH. snoSeeker: an advanced computational package for screening of guide and orphan snoRNA genes in the human genome. Nucleic Acids Res 2006; 34:5112-23. [PMID: 16990247 PMCID: PMC1636440 DOI: 10.1093/nar/gkl672] [Citation(s) in RCA: 100] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2006] [Revised: 08/28/2006] [Accepted: 08/28/2006] [Indexed: 11/23/2022] Open
Abstract
Small nucleolar RNAs (snoRNAs) represent an abundant group of non-coding RNAs in eukaryotes. They can be divided into guide and orphan snoRNAs according to the presence or absence of antisense sequence to rRNAs or snRNAs. Current snoRNA-searching programs, which are essentially based on sequence complementarity to rRNAs or snRNAs, exist only for the screening of guide snoRNAs. In this study, we have developed an advanced computational package, snoSeeker, which includes CDseeker and ACAseeker programs, for the highly efficient and specific screening of both guide and orphan snoRNA genes in mammalian genomes. By using these programs, we have systematically scanned four human-mammal whole-genome alignment (WGA) sequences and identified 54 novel candidates including 26 orphan candidates as well as 266 known snoRNA genes. Eighteen novel snoRNAs were further experimentally confirmed with four snoRNAs exhibiting a tissue-specific or restricted expression pattern. The results of this study provide the most comprehensive listing of two families of snoRNA genes in the human genome till date.
Collapse
Affiliation(s)
- Jian-Hua Yang
- Key Laboratory of Gene Engineering of the Ministry of Education, Zhongshan UniversityGuangzhou 510275, PR China
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| | - Xiao-Chen Zhang
- Key Laboratory of Gene Engineering of the Ministry of Education, Zhongshan UniversityGuangzhou 510275, PR China
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| | - Zhan-Peng Huang
- Key Laboratory of Gene Engineering of the Ministry of Education, Zhongshan UniversityGuangzhou 510275, PR China
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| | - Hui Zhou
- Key Laboratory of Gene Engineering of the Ministry of Education, Zhongshan UniversityGuangzhou 510275, PR China
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| | - Mian-Bo Huang
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| | - Shu Zhang
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| | - Yue-Qin Chen
- To whom correspondence should be addressed at Biotechnology Research Center, Zhongshan University, Guangzhou 510275, PR China. Tel: +86 20 84112399; Fax: +86 20 84036551;
| | - Liang-Hu Qu
- State Key Laboratory for Biocontrol, Zhongshan UniversityGuangzhou 510275, PR China
| |
Collapse
|