1
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Rambout X, Maquat LE. NCBP3: A Multifaceted Adaptive Regulator of Gene Expression. Trends Biochem Sci 2020; 46:87-96. [PMID: 33032857 DOI: 10.1016/j.tibs.2020.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2020] [Revised: 08/31/2020] [Accepted: 09/08/2020] [Indexed: 12/29/2022]
Abstract
Eukaryotic cells have divided the steps of gene expression between their nucleus and cytoplasm. Protein-encoding genes generate mRNAs in the nucleus and mRNAs undergo transport to the cytoplasm for the purpose of producing proteins. Cap-binding protein (CBP)20 and its binding partner CBP80 have been thought to constitute the cap-binding complex (CBC) that is acquired co-transcriptionally by the precursors of all mRNAs. However, this principle has recently been challenged by studies of nuclear cap-binding protein 3 (NCBP3). Here we submit how NCBP3, as an alternative to CBP20, an accessory to the canonical CBP20-CBP80 CBC, and/or an RNA-binding protein - possibly in association with the exon-junction complex (EJC) - expands the capacity of cells to regulate gene expression.
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Affiliation(s)
- Xavier Rambout
- Department of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA; Center for RNA Biology, University of Rochester, Rochester, NY 14642, USA
| | - Lynne E Maquat
- Department of Biochemistry and Biophysics, School of Medicine and Dentistry, University of Rochester, Rochester, NY 14642, USA; Center for RNA Biology, University of Rochester, Rochester, NY 14642, USA.
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2
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Shao Q, Gong W, Li C. A study on allosteric communication in U1A-snRNA binding interactions: network analysis combined with molecular dynamics data. Biophys Chem 2020; 264:106393. [PMID: 32653695 DOI: 10.1016/j.bpc.2020.106393] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Revised: 05/02/2020] [Accepted: 05/03/2020] [Indexed: 01/09/2023]
Abstract
The allosteric regulation during the binding interactions between small nuclear RNAs (snRNAs) and the associated protein factors is critical to the function of spliceosomes in alternative RNA splicing. Although network models combined with molecular dynamics simulations have shown to be powerful tools for the analysis of protein allostery, the atomic-level simulations are, however, too expensive and with limited accuracy for the large-size systems. In this work, we use a residual network model combined with a coarse-grained Gaussian network model (GNM) to investigate the binding interactions between the snRNA and the human U1A protein which is a major component of the spliceosomal U1 small nuclear ribonucleoprotein particle, and to identify the residues that play an important role in the allosteric communication in U1A during this process. We also utilize the Girvan-Newman method to detect the structural organization in U1A-snRNA recognition and interactions. Our results reveal that: (Ι) not only the residues at the binding sites that are traditionally considered to play a major role in U1A-snRNA association, but those residues that are far away from the RNA binding interface participate in the U1A's allosteric signal transmission induced by the RNA binding; (Π) the structure of U1A protein is well organized with different communities acting different roles for its RNA binding and allosteric regulation. The study demonstrates that the combination of the residual network and elastic network models is an effective and efficient method which can be readily extended to the investigation of the allosteric communication for other macromolecular interaction systems.
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Affiliation(s)
- Qi Shao
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
| | - Weikang Gong
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China
| | - Chunhua Li
- College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, China.
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3
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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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4
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Abstract
RNA viruses carry out selective packaging of their genomes in a variety of ways, many involving a genomic packaging signal. The first coronavirus packaging signal was discovered nearly thirty years ago, but how it functions remains incompletely understood. This review addresses the current state of knowledge of coronavirus genome packaging, which has mainly been studied in two prototype species, mouse hepatitis virus and transmissible gastroenteritis virus. Despite the progress that has been made in the mapping and characterization of some packaging signals, there is conflicting evidence as to whether the viral nucleocapsid protein or the membrane protein plays the primary role in packaging signal recognition. The different models for the mechanism of genomic RNA packaging that have been prompted by these competing views are described. Also discussed is the recent exciting discovery that selective coronavirus genome packaging is critical for in vivo evasion of the host innate immune response. Selective incorporation of the coronavirus genome into virions is mediated by a cis-acting RNA packaging signal. Packaging signals vary across different coronavirus genera and lineages. Different lines of evidence attribute packaging signal recognition to either the nucleocapsid or the membrane protein. Selective coronavirus genome packaging plays a role in evasion of host innate immunity.
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Affiliation(s)
- Paul S Masters
- Wadsworth Center, New York State Department of Health, Albany, NY, 12201, United States.
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5
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Gu J, Xia Z, Luo Y, Jiang X, Qian B, Xie H, Zhu JK, Xiong L, Zhu J, Wang ZY. Spliceosomal protein U1A is involved in alternative splicing and salt stress tolerance in Arabidopsis thaliana. Nucleic Acids Res 2019; 46:1777-1792. [PMID: 29228330 PMCID: PMC5829640 DOI: 10.1093/nar/gkx1229] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2016] [Accepted: 11/30/2017] [Indexed: 12/14/2022] Open
Abstract
Soil salinity is a significant threat to sustainable agricultural production worldwide. Plants must adjust their developmental and physiological processes to cope with salt stress. Although the capacity for adaptation ultimately depends on the genome, the exceptional versatility in gene regulation provided by the spliceosome-mediated alternative splicing (AS) is essential in these adaptive processes. However, the functions of the spliceosome in plant stress responses are poorly understood. Here, we report the in-depth characterization of a U1 spliceosomal protein, AtU1A, in controlling AS of pre-mRNAs under salt stress and salt stress tolerance in Arabidopsis thaliana. The atu1a mutant was hypersensitive to salt stress and accumulated more reactive oxygen species (ROS) than the wild-type under salt stress. RNA-seq analysis revealed that AtU1A regulates AS of many genes, presumably through modulating recognition of 5′ splice sites. We showed that AtU1A is associated with the pre-mRNA of the ROS detoxification-related gene ACO1 and is necessary for the regulation of ACO1 AS. ACO1 is important for salt tolerance because ectopic expression of ACO1 in the atu1a mutant can partially rescue its salt hypersensitive phenotype. Our findings highlight the critical role of AtU1A as a regulator of pre-mRNA processing and salt tolerance in plants.
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Affiliation(s)
- Jinbao Gu
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan 570228, China
| | - Zhiqiang Xia
- Institute of Tropical Bioscience and Biotechnology, Chinese Academy of Tropical Agricultural Sciences, Haikou, Hainan 571101, China
| | - Yuehua Luo
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan 570228, China
| | - Xingyu Jiang
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan 570228, China
| | - Bilian Qian
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD 20742, USA
| | - He Xie
- Tobacco Breeding and Biotechnology Research Center, Yunnan Academy of Tobacco Agricultural Sciences, Kunming 650021, China
| | - Jian-Kang Zhu
- Department of Horticulture and Landscape Architecture, Purdue University, West Lafayette, IN 47906, USA.,Shanghai Center for Plant Stress Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China
| | - Liming Xiong
- King Abdullah University of Science and Technology (KAUST), Biological and Environmental Sciences & Engineering Division, Thuwal 23955-6900, Saudi Arabia
| | - Jianhua Zhu
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD 20742, USA
| | - Zhen-Yu Wang
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresource, Institute of Tropical Agriculture and Forestry, Hainan University, Haikou, Hainan 570228, China
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6
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Interpreting the Dynamics of Binding Interactions of snRNA and U1A Using a Coarse-Grained Model. Biophys J 2019; 116:1625-1636. [PMID: 30975455 DOI: 10.1016/j.bpj.2019.03.008] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Revised: 03/04/2019] [Accepted: 03/12/2019] [Indexed: 12/14/2022] Open
Abstract
The binding interactions of small nuclear RNAs (snRNA) and the associated protein factors are critical to the function of spliceosomes in alternatively splicing primary RNA transcripts. Although molecular dynamics simulations are a powerful tool to interpret the mechanism of biological processes, the atomic-level simulations are, however, too expensive and with limited accuracy for the large-size systems, such as snRNA-protein complexes. We extend the coarse-grained Gaussian network model, which models the RNA-protein complexes as a harmonic chain of Cα, P, and O4' atoms, to investigating the impact of the snRNA-binding interaction on the dynamic stability of the human U1A protein, which is a major component of the spliceosomal U1 small nuclear ribonucleoprotein particle. The results reveal that the first and third loops and the C-terminal helix regions of the U1A domain undergo a significant loss of flexibility upon the RNA binding due to the forming of mostly electrostatic and hydrogen bond interactions with RNA 5' stem and loop. By examining the residues whose mutations significantly change the binding free energy between U1A and snRNA, the Gaussian network model-based calculations show that not only the residues at the binding sites that are traditionally considered to play a major role in U1A-RNA association but also those residues that are far away from the RNA-binding interface can participate in the long-range allosteric signal transmission; these calculations are quantitatively consistent with the data observed in the recent snRNA binding experiments. The study demonstrates a useful avenue to utilize the simplified elastic network model to investigate the dynamics characteristics of the biologically important macromolecular interactions.
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7
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Fernandes H, Czapinska H, Grudziaz K, Bujnicki JM, Nowacka M. Crystal structure of human Acinus RNA recognition motif domain. PeerJ 2018; 6:e5163. [PMID: 30042883 PMCID: PMC6057467 DOI: 10.7717/peerj.5163] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 06/14/2018] [Indexed: 12/13/2022] Open
Abstract
Acinus is an abundant nuclear protein involved in apoptosis and splicing. It has been implicated in inducing apoptotic chromatin condensation and DNA fragmentation during programmed cell death. Acinus undergoes activation by proteolytic cleavage that produces a truncated p17 form that comprises only the RNA recognition motif (RRM) domain. We have determined the crystal structure of the human Acinus RRM domain (AcRRM) at 1.65 Å resolution. It shows a classical four-stranded antiparallel β-sheet fold with two flanking α-helices and an additional, non-classical α-helix at the C-terminus, which harbors the caspase-3 target sequence that is cleaved during Acinus activation. In the structure, the C-terminal α-helix partially occludes the potential ligand binding surface of the β-sheet and hypothetically shields it from non-sequence specific interactions with RNA. Based on the comparison with other RRM-RNA complex structures, it is likely that the C-terminal α-helix changes its conformation with respect to the RRM core in order to enable RNA binding by Acinus.
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Affiliation(s)
- Humberto Fernandes
- International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.,Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | - Honorata Czapinska
- International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland
| | - Katarzyna Grudziaz
- International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland
| | - Janusz M Bujnicki
- International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland.,Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, Poznan, Poland
| | - Martyna Nowacka
- International Institute of Molecular and Cell Biology in Warsaw, Warsaw, Poland
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8
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Ghaemi Z, Guzman I, Gnutt D, Luthey-Schulten Z, Gruebele M. Role of Electrostatics in Protein-RNA Binding: The Global vs the Local Energy Landscape. J Phys Chem B 2017; 121:8437-8446. [PMID: 28806086 DOI: 10.1021/acs.jpcb.7b04318] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
U1A protein-stem loop 2 RNA association is a basic step in the assembly of the spliceosomal U1 small nuclear ribonucleoprotein. Long-range electrostatic interactions due to the positive charge of U1A are thought to provide high binding affinity for the negatively charged RNA. Short range interactions, such as hydrogen bonds and contacts between RNA bases and protein side chains, favor a specific binding site. Here, we propose that electrostatic interactions are as important as local contacts in biasing the protein-RNA energy landscape toward a specific binding site. We show by using molecular dynamics simulations that deletion of two long-range electrostatic interactions (K22Q and K50Q) leads to mutant-specific alternative RNA bound states. One of these states preserves short-range interactions with aromatic residues in the original binding site, while the other one does not. We test the computational prediction with experimental temperature-jump kinetics using a tryptophan probe in the U1A-RNA binding site. The two mutants show the distinct predicted kinetic behaviors. Thus, the stem loop 2 RNA has multiple binding sites on a rough RNA-protein binding landscape. We speculate that the rough protein-RNA binding landscape, when biased to different local minima by electrostatics, could be one way that protein-RNA interactions evolve toward new binding sites and novel function.
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Affiliation(s)
- Zhaleh Ghaemi
- Department of Chemistry, University of Illinois , Urbana, Illinois 61801, United States
| | - Irisbel Guzman
- Department of Biochemistry, University of Illinois , Urbana, Illinois 61801, United States
| | - David Gnutt
- Department of Chemistry, University of Illinois , Urbana, Illinois 61801, United States
| | - Zaida Luthey-Schulten
- Department of Chemistry, University of Illinois , Urbana, Illinois 61801, United States.,Department of Physics, Center for the Physics of Living Cells, and Center for Biophysics and Quantitative Biology, University of Illinois , Urbana, Illinois 61801, United States.,Beckman Institute, University of Illinois , Urbana, Illinois 61801, United States
| | - Martin Gruebele
- Department of Chemistry, University of Illinois , Urbana, Illinois 61801, United States.,Department of Physics, Center for the Physics of Living Cells, and Center for Biophysics and Quantitative Biology, University of Illinois , Urbana, Illinois 61801, United States
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9
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Eichhorn CD, Chug R, Feigon J. hLARP7 C-terminal domain contains an xRRM that binds the 3' hairpin of 7SK RNA. Nucleic Acids Res 2016; 44:9977-9989. [PMID: 27679474 PMCID: PMC5175362 DOI: 10.1093/nar/gkw833] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Revised: 09/02/2016] [Accepted: 09/10/2016] [Indexed: 12/21/2022] Open
Abstract
The 7SK small nuclear ribonucleoprotein (snRNP) sequesters and inactivates the positive transcription elongation factor b (P-TEFb), an essential eukaryotic mRNA transcription factor. The human La-related protein group 7 (hLARP7) is a constitutive component of the 7SK snRNP and localizes to the 3' terminus of the 7SK long noncoding RNA. hLARP7, and in particular its C-terminal domain (CTD), is essential for 7SK RNA stability and assembly with P-TEFb. The hLARP7 N-terminal La module binds and protects the 3' end from degradation, but the structural and functional role of its CTD is unclear. We report the solution NMR structure of the hLARP7 CTD and show that this domain contains an xRRM, a class of atypical RRM first identified in the Tetrahymena thermophila telomerase LARP7 protein p65. The xRRM binds the 3' end of 7SK RNA at the top of stem-loop 4 (SL4) and interacts with both unpaired and base-paired nucleotides. This study confirms that the xRRM is general to the LARP7 family of proteins and defines the binding site for hLARP7 on the 7SK RNA, providing insight into function.
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Affiliation(s)
- Catherine D Eichhorn
- Department of Chemistry and Biochemistry, P.O. Box 951569, University of California, Los Angeles, CA 90095-1569, USA
| | - Rahul Chug
- Department of Chemistry and Biochemistry, P.O. Box 951569, University of California, Los Angeles, CA 90095-1569, USA
| | - Juli Feigon
- Department of Chemistry and Biochemistry, P.O. Box 951569, University of California, Los Angeles, CA 90095-1569, USA
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10
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Crawford DW, Blakeley BD, Chen PH, Sherpa C, Le Grice SF, Laird-Offringa IA, McNaughton BR. An Evolved RNA Recognition Motif That Suppresses HIV-1 Tat/TAR-Dependent Transcription. ACS Chem Biol 2016; 11:2206-15. [PMID: 27253715 DOI: 10.1021/acschembio.6b00145] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Potent and selective recognition and modulation of disease-relevant RNAs remain a daunting challenge. We previously examined the utility of the U1A N-terminal RNA recognition motif as a scaffold for tailoring new RNA hairpin recognition and showed that as few as one or two mutations can result in moderate affinity (low μM dissociation constant) for the human immunodeficiency virus (HIV) trans-activation response element (TAR) RNA, an RNA hairpin controlling transcription of the human immunodeficiency virus (HIV) genome. Here, we use yeast display and saturation mutagenesis of established RNA-binding regions in U1A to identify new synthetic proteins that potently and selectively bind TAR RNA. Our best candidate has truly altered, not simply broadened, RNA-binding selectivity; it binds TAR with subnanomolar affinity (apparent dissociation constant of ∼0.5 nM) but does not appreciably bind the original U1A RNA target (U1hpII). It specifically recognizes the TAR RNA hairpin in the context of the HIV-1 5'-untranslated region, inhibits the interaction between TAR RNA and an HIV trans-activator of transcription (Tat)-derived peptide, and suppresses Tat/TAR-dependent transcription. Proteins described in this work are among the tightest TAR RNA-binding reagents-small molecule, nucleic acid, or protein-reported to date and thus have potential utility as therapeutics and basic research tools. Moreover, our findings demonstrate how a naturally occurring RNA recognition motif can be dramatically resurfaced through mutation, leading to potent and selective recognition-and modulation-of disease-relevant RNA.
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Affiliation(s)
| | | | - Po-Han Chen
- Department of Surgery and Department of Biochemistry & Molecular Biology, USC/Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, California 90033, United States
| | - Chringma Sherpa
- Basic
Research Laboratory, National Cancer Institute, Frederick, Maryland 21702, United States
| | - Stuart F.J. Le Grice
- Basic
Research Laboratory, National Cancer Institute, Frederick, Maryland 21702, United States
| | - Ite A. Laird-Offringa
- Department of Surgery and Department of Biochemistry & Molecular Biology, USC/Norris Comprehensive Cancer Center, Keck School of Medicine, Los Angeles, California 90033, United States
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11
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Blatter M, Dunin-Horkawicz S, Grishina I, Maris C, Thore S, Maier T, Bindereif A, Bujnicki JM, Allain FHT. The Signature of the Five-Stranded vRRM Fold Defined by Functional, Structural and Computational Analysis of the hnRNP L Protein. J Mol Biol 2015; 427:3001-22. [PMID: 26051023 DOI: 10.1016/j.jmb.2015.05.020] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2015] [Revised: 05/01/2015] [Accepted: 05/04/2015] [Indexed: 12/23/2022]
Abstract
The RNA recognition motif (RRM) is the far most abundant RNA binding domain. In addition to the typical β1α1β2β3α2β4 fold, various sub-structural elements have been described and reportedly contribute to the high functional versatility of RRMs. The heterogeneous nuclear ribonucleoprotein L (hnRNP L) is a highly abundant protein of 64 kDa comprising four RRM domains. Involved in many aspects of RNA metabolism, hnRNP L specifically binds to RNAs containing CA repeats or CA-rich clusters. However, a comprehensive structural description of hnRNP L including its sub-structural elements is missing. Here, we present the structural characterization of the RRM domains of hnRNP L and demonstrate their function in repressing exon 4 of SLC2A2. By comparison of the sub-structural elements between the two highly similar paralog families of hnRNP L and PTB, we defined signatures underlying interacting C-terminal coils (ICCs), the RRM34 domain interaction and RRMs with a C-terminal fifth β-strand, a variation we denoted vRRMs. Furthermore, computational analysis revealed new putative ICC-containing RRM families and allowed us to propose an evolutionary scenario explaining the origins of the ICC and fifth β-strand sub-structural extensions. Our studies provide insights of domain requirements in alternative splicing mediated by hnRNP L and molecular descriptions for the sub-structural elements. In addition, the analysis presented may help to classify other abundant RRM extensions and to predict structure-function relationships.
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Affiliation(s)
- Markus Blatter
- Institute of Molecular Biology and Biophysics, ETH Zurich, 8093 Zurich, Switzerland
| | | | - Inna Grishina
- Institute of Biochemistry, Justus Liebig University of Giessen, 35392 Giessen, Germany
| | - Christophe Maris
- Institute of Molecular Biology and Biophysics, ETH Zurich, 8093 Zurich, Switzerland
| | - Stephane Thore
- Institute of Molecular Biology and Biophysics, ETH Zurich, 8093 Zurich, Switzerland
| | - Timm Maier
- Institute of Molecular Biology and Biophysics, ETH Zurich, 8093 Zurich, Switzerland
| | - Albrecht Bindereif
- Institute of Biochemistry, Justus Liebig University of Giessen, 35392 Giessen, Germany
| | - Janusz M Bujnicki
- International Institute of Molecular and Cell Biology, 02-109 Warsaw, Poland; Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, 61-614 Poznan, Poland
| | - Frédéric H-T Allain
- Institute of Molecular Biology and Biophysics, ETH Zurich, 8093 Zurich, Switzerland.
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12
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Blakeley BD, McNaughton BR. Synthetic RNA recognition motifs that selectively recognize HIV-1 trans-activation response element hairpin RNA. ACS Chem Biol 2014; 9:1320-9. [PMID: 24635165 DOI: 10.1021/cb500138h] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
A multitude of RNA hairpins are directly implicated in human disease. Many of these RNAs are potentially valuable targets for drug discovery and basic research. However, very little is known about the molecular requirements for achieving sequence-selective recognition of a particular RNA sequence and structure. Although a relatively modest number of synthetic small to medium-sized RNA-binding molecules have been reported, rapid identification of sequence-selective RNA-binding molecules remains a daunting challenge. RNA recognition motif (RRM) domains may represent unique privileged scaffolds for the generation of synthetic proteins that selectively recognize structured disease-relevant RNAs, including RNA hairpins. As a demonstration of this potential, we mutated putative RNA-binding regions within the U1A RRM and a variant thereof and screened these synthetic proteins for affinity to HIV-1 trans-activation response (TAR) element hairpin RNA. Some of these U1A-derived proteins bind TAR with single-digit micromolar dissociation constants, and they do so preferentially over the native protein's original target RNA (U1hpII) and a DNA TAR variant. Binding affinity is not appreciably diminished by addition of 10 molar equivalents of cellular tRNAs from Escherichia coli. Taken together, our findings represent the first synthetic RRMs that selectively bind a disease-relevant RNA hairpin and may represent a general approach for achieving sequence-selective recognition of RNA hairpins, which are the focus of therapeutic discovery and basic research.
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Affiliation(s)
- Brett D. Blakeley
- Department of Chemistry, and ‡Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, Colorado 80523, United States
| | - Brian R. McNaughton
- Department of Chemistry, and ‡Department of Biochemistry & Molecular Biology, Colorado State University, Fort Collins, Colorado 80523, United States
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