1
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Wang P, Lin J, Zheng X, Xu X. RNase P: Beyond Precursor tRNA Processing. GENOMICS, PROTEOMICS & BIOINFORMATICS 2024; 22:qzae016. [PMID: 38862431 DOI: 10.1093/gpbjnl/qzae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 09/18/2023] [Accepted: 10/11/2023] [Indexed: 06/13/2024]
Abstract
Ribonuclease P (RNase P) was first described in the 1970's as an endoribonuclease acting in the maturation of precursor transfer RNAs (tRNAs). More recent studies, however, have uncovered non-canonical roles for RNase P and its components. Here, we review the recent progress of its involvement in chromatin assembly, DNA damage response, and maintenance of genome stability with implications in tumorigenesis. The possibility of RNase P as a therapeutic target in cancer is also discussed.
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Affiliation(s)
- Peipei Wang
- Guangdong Key Laboratory for Genome Stability & Disease Prevention and Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China
| | - Juntao Lin
- Guangdong Key Laboratory for Genome Stability & Disease Prevention and Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China
- Department of Urology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, China
| | - Xiangyang Zheng
- Shenzhen University General Hospital-Dehua Hospital Joint Research Center on Precision Medicine, Dehua Hospital, Dehua 362500, China
| | - Xingzhi Xu
- Guangdong Key Laboratory for Genome Stability & Disease Prevention and Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen 518060, China
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2
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Kirsebom LA, Liu F, McClain WH. The discovery of a catalytic RNA within RNase P and its legacy. J Biol Chem 2024; 300:107318. [PMID: 38677513 PMCID: PMC11143913 DOI: 10.1016/j.jbc.2024.107318] [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: 09/18/2023] [Revised: 04/12/2024] [Accepted: 04/13/2024] [Indexed: 04/29/2024] Open
Abstract
Sidney Altman's discovery of the processing of one RNA by another RNA that acts like an enzyme was revolutionary in biology and the basis for his sharing the 1989 Nobel Prize in Chemistry with Thomas Cech. These breakthrough findings support the key role of RNA in molecular evolution, where replicating RNAs (and similar chemical derivatives) either with or without peptides functioned in protocells during the early stages of life on Earth, an era referred to as the RNA world. Here, we cover the historical background highlighting the work of Altman and his colleagues and the subsequent efforts of other researchers to understand the biological function of RNase P and its catalytic RNA subunit and to employ it as a tool to downregulate gene expression. We primarily discuss bacterial RNase P-related studies but acknowledge that many groups have significantly contributed to our understanding of archaeal and eukaryotic RNase P, as reviewed in this special issue and elsewhere.
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Affiliation(s)
- Leif A Kirsebom
- Department of Cell and Molecular Biology, Uppsala University, Uppsala, Sweden.
| | - Fenyong Liu
- School of Public Health, University of California, Berkeley, California, USA.
| | - William H McClain
- Department of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
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3
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Chamberlain AR, Huynh L, Huang W, Taylor DJ, Harris ME. The specificity landscape of bacterial ribonuclease P. J Biol Chem 2024; 300:105498. [PMID: 38013087 PMCID: PMC10731613 DOI: 10.1016/j.jbc.2023.105498] [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: 07/24/2023] [Revised: 11/14/2023] [Accepted: 11/17/2023] [Indexed: 11/29/2023] Open
Abstract
Developing quantitative models of substrate specificity for RNA processing enzymes is a key step toward understanding their biology and guiding applications in biotechnology and biomedicine. Optimally, models to predict relative rate constants for alternative substrates should integrate an understanding of structures of the enzyme bound to "fast" and "slow" substrates, large datasets of rate constants for alternative substrates, and transcriptomic data identifying in vivo processing sites. Such data are either available or emerging for bacterial ribonucleoprotein RNase P a widespread and essential tRNA 5' processing endonuclease, thus making it a valuable model system for investigating principles of biological specificity. Indeed, the well-established structure and kinetics of bacterial RNase P enabled the development of high throughput measurements of rate constants for tRNA variants and provided the necessary framework for quantitative specificity modeling. Several studies document the importance of conformational changes in the precursor tRNA substrate as well as the RNA and protein subunits of bacterial RNase P during binding, although the functional roles and dynamics are still being resolved. Recently, results from cryo-EM studies of E. coli RNase P with alternative precursor tRNAs are revealing prospective mechanistic relationships between conformational changes and substrate specificity. Yet, extensive uncharted territory remains, including leveraging these advances for drug discovery, achieving a complete accounting of RNase P substrates, and understanding how the cellular context contributes to RNA processing specificity in vivo.
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Affiliation(s)
| | - Loc Huynh
- Department of Chemistry, University of Florida, Gainesville, Florida, USA
| | - Wei Huang
- Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Derek J Taylor
- Department of Pharmacology, Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
| | - Michael E Harris
- Department of Chemistry, University of Florida, Gainesville, Florida, USA.
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4
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Ye X, Yang W, Yi S, Zhao Y, Varani G, Jankowsky E, Yang F. Two distinct binding modes provide the RNA-binding protein RbFox with extraordinary sequence specificity. Nat Commun 2023; 14:701. [PMID: 36759600 PMCID: PMC9911399 DOI: 10.1038/s41467-023-36394-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023] Open
Abstract
Specificity of RNA-binding proteins for target sequences varies considerably. Yet, it is not understood how certain few proteins achieve markedly higher sequence specificity than most others. Here we show that the RNA Recognition Motif of RbFox accomplishes extraordinary sequence specificity by employing functionally and structurally distinct binding modes. Affinity measurements of RbFox for all binding site variants reveal the existence of two distinct binding modes. The first exclusively accommodates cognate and closely related RNAs with high affinity. The second mode accommodates all other RNAs with reduced affinity by imposing large thermodynamic penalties on non-cognate sequences. NMR studies indicate marked structural differences between the two binding modes, including large conformational rearrangements distant from the RNA-binding site. Distinct binding modes by a single RNA-binding module explain extraordinary sequence selectivity and reveal an unknown layer of functional diversity, cross talk and regulation in RNA-protein interactions.
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Affiliation(s)
- Xuan Ye
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Department of Biochemistry, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Wen Yang
- Department of Chemistry, University of Washington, Seattle, WA, USA
- Greater Bay Biomedical InnoCenter, Shenzhen Bay Laboratory, Shenzhen, 518055, China
| | - Soon Yi
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
- Department of Biochemistry, School of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Yanan Zhao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150080, China
| | - Gabriele Varani
- Department of Chemistry, University of Washington, Seattle, WA, USA.
| | - Eckhard Jankowsky
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
- Department of Biochemistry, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
- Case Comprehensive Cancer Center, School of Medicine, Case Western Reserve University, Cleveland, OH, USA.
- Moderna Therapeutics, 200 Technology Square, Cambridge, MA, USA.
| | - Fan Yang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150080, China.
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5
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Structural and mechanistic basis for recognition of alternative tRNA precursor substrates by bacterial ribonuclease P. Nat Commun 2022; 13:5120. [PMID: 36045135 PMCID: PMC9433436 DOI: 10.1038/s41467-022-32843-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Accepted: 08/19/2022] [Indexed: 11/25/2022] Open
Abstract
Binding of precursor tRNAs (ptRNAs) by bacterial ribonuclease P (RNase P) involves an encounter complex (ES) that isomerizes to a catalytic conformation (ES*). However, the structures of intermediates and the conformational changes that occur during binding are poorly understood. Here, we show that pairing between the 5′ leader and 3′RCCA extending the acceptor stem of ptRNA inhibits ES* formation. Cryo-electron microscopy single particle analysis reveals a dynamic enzyme that becomes ordered upon formation of ES* in which extended acceptor stem pairing is unwound. Comparisons of structures with alternative ptRNAs reveals that once unwinding is completed RNase P primarily uses stacking interactions and shape complementarity to accommodate alternative sequences at its cleavage site. Our study reveals active site interactions and conformational changes that drive molecular recognition by RNase P and lays the foundation for understanding how binding interactions are linked to helix unwinding and catalysis. Ribonuclease P efficiently processes all tRNA precursors despite sequence variation at the site of cleavage. Here, authors use high-throughput enzymology and cryoEM to reveal conformational changes that drive recognition by bacterial RNase P.
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6
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Ender A, Grafl N, Kolberg T, Findeiß S, Stadler PF, Mörl M. Synthetic riboswitches for the analysis of tRNA processing by eukaryotic RNase P enzymes. RNA (NEW YORK, N.Y.) 2022; 28:551-567. [PMID: 35022261 PMCID: PMC8925977 DOI: 10.1261/rna.078814.121] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Removal of the 5'-leader region is an essential step in the maturation of tRNA molecules in all domains of life. This reaction is catalyzed by various RNase P activities, ranging from ribonucleoproteins with ribozyme activity to protein-only forms. In Escherichia coli, the efficiency of RNase P-mediated cleavage can be controlled by computationally designed riboswitch elements in a ligand-dependent way, where the 5'-leader sequence of a tRNA precursor is either sequestered in a hairpin structure or presented as a single-stranded region accessible for maturation. In the presented work, the regulatory potential of such artificial constructs is tested on different forms of eukaryotic RNase P enzymes-two protein-only RNase P enzymes (PRORP1 and PRORP2) from Arabidopsis thaliana and the ribonucleoprotein of Homo sapiens The PRORP enzymes were analyzed in vitro as well as in vivo in a bacterial RNase P complementation system. We also tested in HEK293T cells whether the riboswitches remain functional with human nuclear RNase P. While the regulatory principle of the synthetic riboswitches applies for all tested RNase P enzymes, the results also show differences in the substrate requirements of the individual enzyme versions. Hence, such designed RNase P riboswitches represent a novel tool to investigate the impact of the structural composition of the 5'-leader on substrate recognition by different types of RNase P enzymes.
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Affiliation(s)
- Anna Ender
- Institute for Biochemistry, Leipzig University, 04103 Leipzig, Germany
| | - Nadine Grafl
- Institute for Biochemistry, Leipzig University, 04103 Leipzig, Germany
| | - Tim Kolberg
- Institute for Biochemistry, Leipzig University, 04103 Leipzig, Germany
| | - Sven Findeiß
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, 04107 Leipzig, Germany
| | - Peter F Stadler
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, 04107 Leipzig, Germany
- Max Planck Institute for Mathematics in the Science, 04103 Leipzig, Germany
- Institute for Theoretical Chemistry, University of Vienna, A-1090 Vienna, Austria
- Santa Fe Institute, Santa Fe, New Mexico 87501, USA
| | - Mario Mörl
- Institute for Biochemistry, Leipzig University, 04103 Leipzig, Germany
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7
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Mohanty BK, Kushner SR. Inactivation of RNase P in Escherichia coli significantly changes post-transcriptional RNA metabolism. Mol Microbiol 2022; 117:121-142. [PMID: 34486768 PMCID: PMC8766891 DOI: 10.1111/mmi.14808] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 09/01/2021] [Accepted: 09/02/2021] [Indexed: 01/03/2023]
Abstract
Ribonuclease P (RNase P), which is required for the 5'-end maturation of tRNAs in every organism, has been shown to play a limited role in other aspects of RNA metabolism in Escherichia coli. Using RNA-sequencing (RNA-seq), we demonstrate that RNase P inactivation affects the abundances of ~46% of the expressed transcripts in E. coli and provide evidence that its essential function is its ability to generate pre-tRNAs from polycistronic tRNA transcripts. The RNA-seq results agreed with the published data and northern blot analyses of 75/83 transcripts (mRNAs, sRNAs, and tRNAs). Changes in transcript abundances in the RNase P mutant also correlated with changes in their half-lives. Inactivating the stringent response did not alter the rnpA49 phenotype. Most notably, increases in the transcript abundances were observed for all genes in the cysteine regulons, multiple toxin-antitoxin modules, and sigma S-controlled genes. Surprisingly, poly(A) polymerase (PAP I) modulated the abundances of ~10% of the transcripts affected by RNase P. A comparison of the transcriptomes of RNase P, RNase E, and RNase III mutants suggests that they affect distinct substrates. Together, our work strongly indicates that RNase P is a major player in all aspects of post-transcriptional RNA metabolism in E. coli.
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Affiliation(s)
| | - Sidney R. Kushner
- Department of Genetics, University of Georgia, Athens, GA 30602,Department of Microbiology, University of Georgia, Athens, GA 30602,To whom correspondence should be addressed.
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8
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Ender A, Stadler PF, Mörl M, Findeiß S. RNA Design Principles for Riboswitches that Regulate RNase P-Mediated tRNA Processing. Methods Mol Biol 2022; 2518:179-202. [PMID: 35666446 DOI: 10.1007/978-1-0716-2421-0_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Riboswitches are an attractive target for the directed design of RNA-based regulators by in silico prediction. These noncoding RNA elements consist of an aptamer platform for the highly selective ligand recognition and an expression platform which controls gene activity typically at the level of transcription or translation. In previous work, we could successfully apply RNA folding prediction to implement a new riboswitch mechanism regulating processing of a tRNA by RNase P. In this contribution, we present detailed information about our pipeline consisting of in silico design combined with the biochemical analysis for the verification of the implemented mechanism. Furthermore, we discuss the applicability of the presented biochemical in vivo and in vitro methods for the characterization of other artificial riboswitches.
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Affiliation(s)
- Anna Ender
- Institute for Biochemistry, Leipzig University, Leipzig, Germany
| | - Peter F Stadler
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany
- Max Planck Institute for Mathematics in the Science, Leipzig, Germany
- Institute for Theoretical Chemistry, University of Vienna, Vienna, Austria
- Santa Fe Institute, Santa Fe, NM, USA
| | - Mario Mörl
- Institute for Biochemistry, Leipzig University, Leipzig, Germany
| | - Sven Findeiß
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Leipzig, Germany.
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9
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Zeng D, Abzhanova A, Brown BP, Reiter NJ. Dissecting Monomer-Dimer Equilibrium of an RNase P Protein Provides Insight Into the Synergistic Flexibility of 5' Leader Pre-tRNA Recognition. Front Mol Biosci 2021; 8:730274. [PMID: 34540901 PMCID: PMC8447495 DOI: 10.3389/fmolb.2021.730274] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Accepted: 08/18/2021] [Indexed: 11/13/2022] Open
Abstract
Ribonuclease P (RNase P) is a universal RNA-protein endonuclease that catalyzes 5' precursor-tRNA (ptRNA) processing. The RNase P RNA plays the catalytic role in ptRNA processing; however, the RNase P protein is required for catalysis in vivo and interacts with the 5' leader sequence. A single P RNA and a P protein form the functional RNase P holoenzyme yet dimeric forms of bacterial RNase P can interact with non-tRNA substrates and influence bacterial cell growth. Oligomeric forms of the P protein can also occur in vitro and occlude the 5' leader ptRNA binding interface, presenting a challenge in accurately defining the substrate recognition properties. To overcome this, concentration and temperature dependent NMR studies were performed on a thermostable RNase P protein from Thermatoga maritima. NMR relaxation (R1, R2), heteronuclear NOE, and diffusion ordered spectroscopy (DOSY) experiments were analyzed, identifying a monomeric species through the determination of the diffusion coefficients (D) and rotational correlation times (τc). Experimental diffusion coefficients and τc values for the predominant monomer (2.17 ± 0.36 * 10-10 m2/s, τ c = 5.3 ns) or dimer (1.87 ± 0.40* 10-10 m2/s, τ c = 9.7 ns) protein assemblies at 45°C correlate well with calculated diffusion coefficients derived from the crystallographic P protein structure (PDB 1NZ0). The identification of a monomeric P protein conformer from relaxation data and chemical shift information enabled us to gain novel insight into the structure of the P protein, highlighting a lack of structural convergence of the N-terminus (residues 1-14) in solution. We propose that the N-terminus of the bacterial P protein is partially disordered and adopts a stable conformation in the presence of RNA. In addition, we have determined the location of the 5' leader RNA in solution and measured the affinity of the 5' leader RNA-P protein interaction. We show that the monomer P protein interacts with RNA at the 5' leader binding cleft that was previously identified using X-ray crystallography. Data support a model where N-terminal protein flexibility is stabilized by holoenzyme formation and helps to accommodate the 5' leader region of ptRNA. Taken together, local structural changes of the P protein and the 5' leader RNA provide a means to obtain optimal substrate alignment and activation of the RNase P holoenzyme.
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Affiliation(s)
- Danyun Zeng
- Department of Chemistry, Marquette University, Milwaukee, WI, United States
| | - Ainur Abzhanova
- Department of Chemistry, Marquette University, Milwaukee, WI, United States
| | - Benjamin P Brown
- Chemical and Physical Biology Program, Medical Scientist Training Program, Vanderbilt University, Nashville, TN, United States.,Center for Structural Biology, Vanderbilt University School of Medicine, Nashville, TN, United States
| | - Nicholas J Reiter
- Department of Chemistry, Marquette University, Milwaukee, WI, United States
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10
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Ender A, Etzel M, Hammer S, Findeiß S, Stadler P, Mörl M. Ligand-dependent tRNA processing by a rationally designed RNase P riboswitch. Nucleic Acids Res 2021; 49:1784-1800. [PMID: 33469651 PMCID: PMC7897497 DOI: 10.1093/nar/gkaa1282] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 12/21/2020] [Accepted: 12/29/2020] [Indexed: 11/29/2022] Open
Abstract
We describe a synthetic riboswitch element that implements a regulatory principle which directly addresses an essential tRNA maturation step. Constructed using a rational in silico design approach, this riboswitch regulates RNase P-catalyzed tRNA 5′-processing by either sequestering or exposing the single-stranded 5′-leader region of the tRNA precursor in response to a ligand. A single base pair in the 5′-leader defines the regulatory potential of the riboswitch both in vitro and in vivo. Our data provide proof for prior postulates on the importance of the structure of the leader region for tRNA maturation. We demonstrate that computational predictions of ligand-dependent structural rearrangements can address individual maturation steps of stable non-coding RNAs, thus making them amenable as promising target for regulatory devices that can be used as functional building blocks in synthetic biology.
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Affiliation(s)
- Anna Ender
- Institute for Biochemistry, Leipzig University, Brüderstr. 34, 04103 Leipzig, Germany
| | - Maja Etzel
- Institute for Biochemistry, Leipzig University, Brüderstr. 34, 04103 Leipzig, Germany
| | - Stefan Hammer
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstr. 16-18, 04107 Leipzig, Germany
| | - Sven Findeiß
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstr. 16-18, 04107 Leipzig, Germany
| | - Peter Stadler
- Bioinformatics Group, Department of Computer Science and Interdisciplinary Center for Bioinformatics, Leipzig University, Härtelstr. 16-18, 04107 Leipzig, Germany.,Max Planck Institute for Mathematics in the Science, Inselstr. 22, 04103 Leipzig, Germany.,Institute for Theoretical Chemistry, University of Vienna, Währingerstr. 17, A-1090 Vienna, Austria.,Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA
| | - Mario Mörl
- Institute for Biochemistry, Leipzig University, Brüderstr. 34, 04103 Leipzig, Germany
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11
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Ye X, Jankowsky E. High throughput approaches to study RNA-protein interactions in vitro. Methods 2020; 178:3-10. [PMID: 31494245 PMCID: PMC7071787 DOI: 10.1016/j.ymeth.2019.09.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Revised: 06/07/2019] [Accepted: 09/01/2019] [Indexed: 02/08/2023] Open
Abstract
To understand the regulation of gene expression it is critical to determine how proteins interact with and discriminate between different RNAs. In this review, we discuss experimental techniques that utilize high throughput approaches to characterize the interactions of proteins with large numbers of RNAs in vitro. We describe the underlying principles for the main methods, briefly discuss their scope and limitations, and outline how insight from the techniques contributes to our understanding of specificity for RNA-protein interactions.
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Affiliation(s)
- Xuan Ye
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, United States
| | - Eckhard Jankowsky
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, OH, United States.
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12
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Licatalosi DD, Ye X, Jankowsky E. Approaches for measuring the dynamics of RNA-protein interactions. WILEY INTERDISCIPLINARY REVIEWS. RNA 2020; 11:e1565. [PMID: 31429211 PMCID: PMC7006490 DOI: 10.1002/wrna.1565] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/20/2019] [Accepted: 07/25/2019] [Indexed: 12/17/2022]
Abstract
RNA-protein interactions are pivotal for the regulation of gene expression from bacteria to human. RNA-protein interactions are dynamic; they change over biologically relevant timescales. Understanding the regulation of gene expression at the RNA level therefore requires knowledge of the dynamics of RNA-protein interactions. Here, we discuss the main experimental approaches to measure dynamic aspects of RNA-protein interactions. We cover techniques that assess dynamics of cellular RNA-protein interactions that accompany biological processes over timescales of hours or longer and techniques measuring the kinetic dynamics of RNA-protein interactions in vitro. This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein-RNA Interactions: Functional Implications RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition RNA Interactions with Proteins and Other Molecules > RNA-Protein Complexes RNA Evolution and Genomics > Ribonomics.
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Affiliation(s)
- Donny D Licatalosi
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Xuan Ye
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Eckhard Jankowsky
- Center for RNA Science and Therapeutics, School of Medicine, Case Western Reserve University, Cleveland, Ohio
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13
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Abstract
Sequence-specific nucleic acid binding proteins do not recognize one sequence out of all possibilities; rather, they bind to many sequences with a range of affinities. In this issue of Cell Chemical Biology, Lin et al. (2016), describe the entire landscape of affinities between different RNA molecules and an RNA-binding protein, thus providing a comprehensive description of the factors affecting specificity.
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Affiliation(s)
- Adrian R Ferré-D'Amaré
- National Heart, Lung and Blood Institute, 50 South Drive, MSC 8012, Bethesda, MD 20892, USA.
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14
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Abstract
Interactions between RNA and proteins are pervasive in biology, driving fundamental processes such as protein translation and participating in the regulation of gene expression. Modeling the energies of RNA-protein interactions is therefore critical for understanding and repurposing living systems but has been hindered by complexities unique to RNA-protein binding. Here, we bring together several advances to complete a calculation framework for RNA-protein binding affinities, including a unified free energy function for bound complexes, automated Rosetta modeling of mutations, and use of secondary structure-based energetic calculations to model unbound RNA states. The resulting Rosetta-Vienna RNP-ΔΔG method achieves root-mean-squared errors (RMSEs) of 1.3 kcal/mol on high-throughput MS2 coat protein-RNA measurements and 1.5 kcal/mol on an independent test set involving the signal recognition particle, human U1A, PUM1, and FOX-1. As a stringent test, the method achieves RMSE accuracy of 1.4 kcal/mol in blind predictions of hundreds of human PUM2-RNA relative binding affinities. Overall, these RMSE accuracies are significantly better than those attained by prior structure-based approaches applied to the same systems. Importantly, Rosetta-Vienna RNP-ΔΔG establishes a framework for further improvements in modeling RNA-protein binding that can be tested by prospective high-throughput measurements on new systems.
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15
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Zhao J, Harris ME. Distributive enzyme binding controlled by local RNA context results in 3' to 5' directional processing of dicistronic tRNA precursors by Escherichia coli ribonuclease P. Nucleic Acids Res 2019; 47:1451-1467. [PMID: 30496557 PMCID: PMC6379654 DOI: 10.1093/nar/gky1162] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 10/17/2018] [Accepted: 11/11/2018] [Indexed: 12/16/2022] Open
Abstract
RNA processing by ribonucleases and RNA modifying enzymes often involves sequential reactions of the same enzyme on a single precursor transcript. In Escherichia coli, processing of polycistronic tRNA precursors involves separation into individual pre-tRNAs by one of several ribonucleases followed by 5′ end maturation by ribonuclease P. A notable exception are valine and lysine tRNAs encoded by three polycistronic precursors that follow a recently discovered pathway involving initial 3′ to 5′ directional processing by RNase P. Here, we show that the dicistronic precursor containing tRNAvalV and tRNAvalW undergoes accurate and efficient 3′ to 5′ directional processing by RNase P in vitro. Kinetic analyses reveal a distributive mechanism involving dissociation of the enzyme between the two cleavage steps. Directional processing is maintained despite swapping or duplicating the two tRNAs consistent with inhibition of processing by 3′ trailer sequences. Structure-function studies identify a stem–loop in 5′ leader of tRNAvalV that inhibits RNase P cleavage and further enforces directional processing. The results demonstrate that directional processing is an intrinsic property of RNase P and show how RNA sequence and structure context can modulate reaction rates in order to direct precursors along specific pathways.
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Affiliation(s)
- Jing Zhao
- Department of Chemistry, University of Florida, Gainesville, FL 32603, USA
| | - Michael E Harris
- Department of Chemistry, University of Florida, Gainesville, FL 32603, USA
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16
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Zeng D, Brown BP, Voehler MW, Cai S, Reiter NJ. NMR resonance assignments of RNase P protein from Thermotoga maritima. BIOMOLECULAR NMR ASSIGNMENTS 2018; 12:183-187. [PMID: 29450823 PMCID: PMC5871579 DOI: 10.1007/s12104-018-9806-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2017] [Accepted: 01/30/2018] [Indexed: 05/04/2023]
Abstract
Ribonuclase P (RNase P) is an essential metallo-endonuclease that catalyzes 5' precursor-tRNA (ptRNA) processing and exists as an RNA-based enzyme in bacteria, archaea, and eukaryotes. In bacteria, a large catalytic RNA and a small protein component assemble to recognize and accurately cleave ptRNA and tRNA-like molecular scaffolds. Substrate recognition of ptRNA by bacterial RNase P requires RNA-RNA shape complementarity, intermolecular base pairing, and a dynamic protein-ptRNA binding interface. To gain insight into the binding specificity and dynamics of the bacterial protein-ptRNA interface, we report the backbone and side chain 1H, 13C, and 15N resonance assignments of the hyperthermophilic Thermatoga maritima RNase P protein in solution at 318 K. Our data confirm the formation of a stable RNA recognition motif (RRM) with intrinsic heterogeneity at both the N- and C-terminus of the protein, consistent with available structural information. Comprehensive resonance assignments of the bacterial RNase P protein serve as an important first step in understanding how coupled RNA binding and protein-RNA conformational changes give rise to ribonucleoprotein function.
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Affiliation(s)
- Danyun Zeng
- Department of Chemistry, Marquette University, Milwaukee, WI, USA
| | - Benjamin P Brown
- Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, USA
| | - Markus W Voehler
- Center for Structural Biology, Vanderbilt University, Nashville, TN, USA
| | - Sheng Cai
- Department of Chemistry, Marquette University, Milwaukee, WI, USA
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17
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Jankowsky E, Harris ME. Mapping specificity landscapes of RNA-protein interactions by high throughput sequencing. Methods 2017; 118-119:111-118. [PMID: 28263887 DOI: 10.1016/j.ymeth.2017.03.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 02/07/2017] [Accepted: 03/01/2017] [Indexed: 12/28/2022] Open
Abstract
To function in a biological setting, RNA binding proteins (RBPs) have to discriminate between alternative binding sites in RNAs. This discrimination can occur in the ground state of an RNA-protein binding reaction, in its transition state, or in both. The extent by which RBPs discriminate at these reaction states defines RBP specificity landscapes. Here, we describe the HiTS-Kin and HiTS-EQ techniques, which combine kinetic and equilibrium binding experiments with high throughput sequencing to quantitatively assess substrate discrimination for large numbers of substrate variants at ground and transition states of RNA-protein binding reactions. We discuss experimental design, practical considerations and data analysis and outline how a combination of HiTS-Kin and HiTS-EQ allows the mapping of RBP specificity landscapes.
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Affiliation(s)
- Eckhard Jankowsky
- Center for RNA Molecular Biology, School of Medicine, Case Western Reserve University, 1099 Euclid Ave Cleveland, OH 44106, United States; Department of Biochemistry, School of Medicine, Case Western Reserve University, 1099 Euclid Ave Cleveland, OH 44106, United States.
| | - Michael E Harris
- Department of Biochemistry, School of Medicine, Case Western Reserve University, 1099 Euclid Ave Cleveland, OH 44106, United States
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18
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Rules of RNA specificity of hnRNP A1 revealed by global and quantitative analysis of its affinity distribution. Proc Natl Acad Sci U S A 2017; 114:2206-2211. [PMID: 28193894 DOI: 10.1073/pnas.1616371114] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1) is a multipurpose RNA-binding protein (RBP) involved in normal and pathological RNA metabolism. Transcriptome-wide mapping and in vitro evolution identify consensus hnRNP A1 binding motifs; however, such data do not reveal how surrounding RNA sequence and structural context modulate affinity. We determined the affinity of hnRNP A1 for all possible sequence variants (n = 16,384) of the HIV exon splicing silencer 3 (ESS3) 7-nt apical loop. Analysis of the affinity distribution identifies the optimal motif 5'-YAG-3' and shows how its copy number, position in the loop, and loop structure modulate affinity. For a subset of ESS3 variants, we show that specificity is determined by association rate constants and that variants lacking the minimal sequence motif bind competitively with consensus RNA. Thus, the results reveal general rules of specificity of hnRNP A1 and provide a quantitative framework for understanding how it discriminates between alternative competing RNA ligands in vivo.
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19
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Martin WJ, Reiter NJ. Structural Roles of Noncoding RNAs in the Heart of Enzymatic Complexes. Biochemistry 2016; 56:3-13. [PMID: 27935277 DOI: 10.1021/acs.biochem.6b01106] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Over billions of years of evolution, nature has embraced proteins as the major workhorse molecules of the cell. However, nearly every aspect of metabolism is dependent upon how structured RNAs interact with proteins, ligands, and other nucleic acids. Key processes, including telomere maintenance, RNA processing, and protein synthesis, require large RNAs that assemble into elaborate three-dimensional shapes. These RNAs can (i) act as flexible scaffolds for protein subunits, (ii) participate directly in substrate recognition, and (iii) serve as catalytic components. Here, we juxtapose the near atomic level interactions of three ribonucleoprotein complexes: ribonuclease P (involved in 5' pre-tRNA processing), the spliceosome (responsible for pre-mRNA splicing), and telomerase (an RNA-directed DNA polymerase that extends the ends of chromosomes). The focus of this perspective is profiling the structural and dynamic roles of RNAs at the core of these enzymes, highlighting how large RNAs contribute to molecular recognition and catalysis.
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Affiliation(s)
- William J Martin
- Department of Biochemistry, Vanderbilt University , Nashville, Tennessee 37232, United States
| | - Nicholas J Reiter
- Department of Biochemistry, Vanderbilt University , Nashville, Tennessee 37232, United States
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