1
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Zeng C, Jian Y, Vosoughi S, Zeng C, Zhao Y. Evaluating native-like structures of RNA-protein complexes through the deep learning method. Nat Commun 2023; 14:1060. [PMID: 36828844 PMCID: PMC9958188 DOI: 10.1038/s41467-023-36720-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/14/2023] [Indexed: 02/26/2023] Open
Abstract
RNA-protein complexes underlie numerous cellular processes, including basic translation and gene regulation. The high-resolution structure determination of the RNA-protein complexes is essential for elucidating their functions. Therefore, computational methods capable of identifying the native-like RNA-protein structures are needed. To address this challenge, we thus develop DRPScore, a deep-learning-based approach for identifying native-like RNA-protein structures. DRPScore is tested on representative sets of RNA-protein complexes with various degrees of binding-induced conformation change ranging from fully rigid docking (bound-bound) to fully flexible docking (unbound-unbound). Out of the top 20 predictions, DRPScore selects native-like structures with a success rate of 91.67% on the testing set of bound RNA-protein complexes and 56.14% on the unbound complexes. DRPScore consistently outperforms existing methods with a roughly 10.53-15.79% improvement, even for the most difficult unbound cases. Furthermore, DRPScore significantly improves the accuracy of the native interface interaction predictions. DRPScore should be broadly useful for modeling and designing RNA-protein complexes.
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Affiliation(s)
- Chengwei Zeng
- Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan, 430079, China
| | - Yiren Jian
- Department of Computer Science, Dartmouth College, Hanover, NH, 03755, USA
| | - Soroush Vosoughi
- Department of Computer Science, Dartmouth College, Hanover, NH, 03755, USA
| | - Chen Zeng
- Department of Physics, The George Washington University, Washington, DC, 20052, USA
| | - Yunjie Zhao
- Institute of Biophysics and Department of Physics, Central China Normal University, Wuhan, 430079, China.
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2
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Bhat VD, Jayaraj J, Babu K. RNA and neuronal function: the importance of post-transcriptional regulation. OXFORD OPEN NEUROSCIENCE 2022; 1:kvac011. [PMID: 38596700 PMCID: PMC10913846 DOI: 10.1093/oons/kvac011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 05/03/2022] [Accepted: 05/28/2022] [Indexed: 04/11/2024]
Abstract
The brain represents an organ with a particularly high diversity of genes that undergo post-transcriptional gene regulation through multiple mechanisms that affect RNA metabolism and, consequently, brain function. This vast regulatory process in the brain allows for a tight spatiotemporal control over protein expression, a necessary factor due to the unique morphologies of neurons. The numerous mechanisms of post-transcriptional regulation or translational control of gene expression in the brain include alternative splicing, RNA editing, mRNA stability and transport. A large number of trans-elements such as RNA-binding proteins and micro RNAs bind to specific cis-elements on transcripts to dictate the fate of mRNAs including its stability, localization, activation and degradation. Several trans-elements are exemplary regulators of translation, employing multiple cofactors and regulatory machinery so as to influence mRNA fate. Networks of regulatory trans-elements exert control over key neuronal processes such as neurogenesis, synaptic transmission and plasticity. Perturbations in these networks may directly or indirectly cause neuropsychiatric and neurodegenerative disorders. We will be reviewing multiple mechanisms of gene regulation by trans-elements occurring specifically in neurons.
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Affiliation(s)
- Vandita D Bhat
- Centre for Neuroscience, Indian Institute of Science, CV Raman Road, Bangalore 560012, Karnataka, India
| | - Jagannath Jayaraj
- Centre for Neuroscience, Indian Institute of Science, CV Raman Road, Bangalore 560012, Karnataka, India
| | - Kavita Babu
- Centre for Neuroscience, Indian Institute of Science, CV Raman Road, Bangalore 560012, Karnataka, India
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3
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Kelaini S, Chan C, Cornelius VA, Margariti A. RNA-Binding Proteins Hold Key Roles in Function, Dysfunction, and Disease. BIOLOGY 2021; 10:biology10050366. [PMID: 33923168 PMCID: PMC8146904 DOI: 10.3390/biology10050366] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 04/21/2021] [Accepted: 04/21/2021] [Indexed: 02/06/2023]
Abstract
RNA-binding proteins (RBPs) are multi-faceted proteins in the regulation of RNA or its RNA splicing, localisation, stability, and translation. Amassing proof from many recent and dedicated studies reinforces the perception of RBPs exerting control through differing expression levels, cellular localization and post-transcriptional alterations. However, since the regulation of RBPs is reliant on the micro-environment and events like stress response and metabolism, their binding affinities and the resulting RNA-RBP networks may be affected. Therefore, any misregulation and disruption in the features of RNA and its related homeostasis can lead to a number of diseases that include diabetes, cardiovascular disease, and other disorders such as cancer and neurodegenerative diseases. As such, correct regulation of RNA and RBPs is crucial to good health as the effect RBPs exert through loss of function can cause pathogenesis. In this review, we will discuss the significance of RBPs and their typical function and how this can be disrupted in disease.
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4
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Nedoluzhko A, Gruzdeva N, Sharko F, Rastorguev S, Zakharova N, Kostyuk G, Ushakov V. The Biomarker and Therapeutic Potential of Circular Rnas in Schizophrenia. Cells 2020; 9:E2238. [PMID: 33020462 PMCID: PMC7601372 DOI: 10.3390/cells9102238] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/29/2020] [Accepted: 10/01/2020] [Indexed: 12/14/2022] Open
Abstract
Circular RNAs (circRNAs) are endogenous, single-stranded, most frequently non-coding RNA (ncRNA) molecules that play a significant role in gene expression regulation. Circular RNAs can affect microRNA functionality, interact with RNA-binding proteins (RBPs), translate proteins by themselves, and directly or indirectly modulate gene expression during different cellular processes. The affected expression of circRNAs, as well as their targets, can trigger a cascade of events in the genetic regulatory network causing pathological conditions. Recent studies have shown that altered circular RNA expression patterns could be used as biomarkers in psychiatric diseases, including schizophrenia (SZ); moreover, circular RNAs together with other cell molecules could provide new insight into mechanisms of this disorder. In this review, we focus on the role of circular RNAs in the pathogenesis of SZ and analyze their biomarker and therapeutic potential in this disorder.
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Affiliation(s)
- Artem Nedoluzhko
- Faculty of Biosciences and Aquaculture, Nord University, PB 1490. 8049 Bodø, Norway
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
| | - Natalia Gruzdeva
- National Research Center “Kurchatov Institute”, 1st Akademika Kurchatova Square, 123182 Moscow, Russia; (N.G.); (F.S.); (S.R.)
| | - Fedor Sharko
- National Research Center “Kurchatov Institute”, 1st Akademika Kurchatova Square, 123182 Moscow, Russia; (N.G.); (F.S.); (S.R.)
- Research Center of Biotechnology of the Russian Academy of Sciences, Leninsky prospect 33/2, 119071 Moscow, Russia
| | - Sergey Rastorguev
- National Research Center “Kurchatov Institute”, 1st Akademika Kurchatova Square, 123182 Moscow, Russia; (N.G.); (F.S.); (S.R.)
| | - Natalia Zakharova
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
| | - Georgy Kostyuk
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
| | - Vadim Ushakov
- Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow Healthcare Department, Zagorodnoye Highway, 2, 115191 Moscow, Russia; (N.Z.); (G.K.); (V.U.)
- Institute for Advanced Brain Studies, Lomonosov Moscow State University, Leninskiye Gory, 119899 Moscow, Russia
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5
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Obrdlik A, Lin G, Haberman N, Ule J, Ephrussi A. The Transcriptome-wide Landscape and Modalities of EJC Binding in Adult Drosophila. Cell Rep 2020; 28:1219-1236.e11. [PMID: 31365866 DOI: 10.1016/j.celrep.2019.06.088] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 04/30/2019] [Accepted: 06/24/2019] [Indexed: 12/27/2022] Open
Abstract
Exon junction complex (EJC) assembles after splicing at specific positions upstream of exon-exon junctions in mRNAs of all higher eukaryotes, affecting major regulatory events. In mammalian cell cytoplasm, EJC is essential for efficient RNA surveillance, while in Drosophila, EJC is essential for localization of oskar mRNA. Here we developed a method for isolation of protein complexes and associated RNA targets (ipaRt) to explore the EJC RNA-binding landscape in a transcriptome-wide manner in adult Drosophila. We find the EJC at canonical positions, preferably on mRNAs from genes comprising multiple splice sites and long introns. Moreover, EJC occupancy is highest at junctions adjacent to strong splice sites, CG-rich hexamers, and RNA structures. Highly occupied mRNAs tend to be maternally localized and derive from genes involved in differentiation or development. These modalities, which have not been reported in mammals, specify EJC assembly on a biologically coherent set of transcripts in Drosophila.
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Affiliation(s)
- Ales Obrdlik
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
| | - Gen Lin
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany
| | - Nejc Haberman
- Department for Neuromuscular Diseases, UCL Institute of Neurology, London WC1N 3BG, UK
| | - Jernej Ule
- Department for Neuromuscular Diseases, UCL Institute of Neurology, London WC1N 3BG, UK; The Francis Crick Institute, London NW1 1AT, UK
| | - Anne Ephrussi
- European Molecular Biology Laboratory, 69117 Heidelberg, Germany.
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6
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Van Nostrand EL, Pratt GA, Yee BA, Wheeler EC, Blue SM, Mueller J, Park SS, Garcia KE, Gelboin-Burkhart C, Nguyen TB, Rabano I, Stanton R, Sundararaman B, Wang R, Fu XD, Graveley BR, Yeo GW. Principles of RNA processing from analysis of enhanced CLIP maps for 150 RNA binding proteins. Genome Biol 2020; 21:90. [PMID: 32252787 PMCID: PMC7137325 DOI: 10.1186/s13059-020-01982-9] [Citation(s) in RCA: 102] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Accepted: 03/03/2020] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND A critical step in uncovering rules of RNA processing is to study the in vivo regulatory networks of RNA binding proteins (RBPs). Crosslinking and immunoprecipitation (CLIP) methods enable mapping RBP targets transcriptome-wide, but methodological differences present challenges to large-scale analysis across datasets. The development of enhanced CLIP (eCLIP) enabled the mapping of targets for 150 RBPs in K562 and HepG2, creating a unique resource of RBP interactomes profiled with a standardized methodology in the same cell types. RESULTS Our analysis of 223 eCLIP datasets reveals a range of binding modalities, including highly resolved positioning around splicing signals and mRNA untranslated regions that associate with distinct RBP functions. Quantification of enrichment for repetitive and abundant multicopy elements reveals 70% of RBPs have enrichment for non-mRNA element classes, enables identification of novel ribosomal RNA processing factors and sites, and suggests that association with retrotransposable elements reflects multiple RBP mechanisms of action. Analysis of spliceosomal RBPs indicates that eCLIP resolves AQR association after intronic lariat formation, enabling identification of branch points with single-nucleotide resolution, and provides genome-wide validation for a branch point-based scanning model for 3' splice site recognition. Finally, we show that eCLIP peak co-occurrences across RBPs enable the discovery of novel co-interacting RBPs. CONCLUSIONS This work reveals novel insights into RNA biology by integrated analysis of eCLIP profiling of 150 RBPs with distinct functions. Further, our quantification of both mRNA and other element association will enable further research to identify novel roles of RBPs in regulating RNA processing.
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Affiliation(s)
- Eric L Van Nostrand
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Gabriel A Pratt
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brian A Yee
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Emily C Wheeler
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Steven M Blue
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Jasmine Mueller
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Samuel S Park
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Keri E Garcia
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Chelsea Gelboin-Burkhart
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Thai B Nguyen
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ines Rabano
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Rebecca Stanton
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Balaji Sundararaman
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Ruth Wang
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Xiang-Dong Fu
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA
| | - Brenton R Graveley
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT, USA.
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, CA, USA.
- Institute for Genomic Medicine, University of California San Diego, La Jolla, CA, USA.
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7
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Ilik IA, Aktas T, Maticzka D, Backofen R, Akhtar A. FLASH: ultra-fast protocol to identify RNA-protein interactions in cells. Nucleic Acids Res 2020; 48:e15. [PMID: 31802123 PMCID: PMC7026646 DOI: 10.1093/nar/gkz1141] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 11/17/2019] [Accepted: 12/03/2019] [Indexed: 11/14/2022] Open
Abstract
Determination of the in vivo binding sites of RNA-binding proteins (RBPs) is paramount to understanding their function and how they affect different aspects of gene regulation. With hundreds of RNA-binding proteins identified in human cells, a flexible, high-resolution, high-throughput, highly multiplexible and radioactivity-free method to determine their binding sites has not been described to date. Here we report FLASH (Fast Ligation of RNA after some sort of Affinity Purification for High-throughput Sequencing), which uses a special adapter design and an optimized protocol to determine protein–RNA interactions in living cells. The entire FLASH protocol, starting from cells on plates to a sequencing library, takes 1.5 days. We demonstrate the flexibility, speed and versatility of FLASH by using it to determine RNA targets of both tagged and endogenously expressed proteins under diverse conditions in vivo.
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Affiliation(s)
- Ibrahim Avsar Ilik
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany.,Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Tugce Aktas
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany.,Otto Warburg Laboratories, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany
| | - Daniel Maticzka
- Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.,Centre for Biological Signalling Studies (BIOSS), University of Freiburg, 79104 Freiburg, Germany
| | - Asifa Akhtar
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
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8
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Lin J, Zhang Y, Frankel WN, Ouyang Z. PRAS: Predicting functional targets of RNA binding proteins based on CLIP-seq peaks. PLoS Comput Biol 2019; 15:e1007227. [PMID: 31425505 PMCID: PMC6716675 DOI: 10.1371/journal.pcbi.1007227] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 08/30/2019] [Accepted: 06/28/2019] [Indexed: 11/19/2022] Open
Abstract
RNA-protein interaction plays important roles in post-transcriptional regulation. Recent advancements in cross-linking and immunoprecipitation followed by sequencing (CLIP-seq) technologies make it possible to detect the binding peaks of a given RNA binding protein (RBP) at transcriptome scale. However, it is still challenging to predict the functional consequences of RBP binding peaks. In this study, we propose the Protein-RNA Association Strength (PRAS), which integrates the intensities and positions of the binding peaks of RBPs for functional mRNA targets prediction. We illustrate the superiority of PRAS over existing approaches on predicting the functional targets of two related but divergent CELF (CUGBP, ELAV-like factor) RBPs in mouse brain and muscle. We also demonstrate the potential of PRAS for wide adoption by applying it to the enhanced CLIP-seq (eCLIP) datasets of 37 RNA decay related RBPs in two human cell lines. PRAS can be utilized to investigate any RBPs with available CLIP-seq peaks. PRAS is freely available at http://ouyanglab.jax.org/pras/.
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Affiliation(s)
- Jianan Lin
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America
| | - Yuping Zhang
- Department of Statistics, University of Connecticut, Storrs, Connecticut, United States of America
- Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, United States of America
- Center for Quantitative Medicine, University of Connecticut, Farmington, Connecticut, United States of America
| | - Wayne N. Frankel
- Department of Genetics and Development and Institute for Genomic Medicine, Columbia University Medical Center, New York City, New York, United States of America
| | - Zhengqing Ouyang
- The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut, United States of America
- Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut, United States of America
- Institute for Systems Genomics, University of Connecticut, Storrs, Connecticut, United States of America
- Department of Genetics and Genome Sciences, University of Connecticut, Farmington, Connecticut, United States of America
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9
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Ouyang H, Zhang K, Fox-Walsh K, Yang Y, Zhang C, Huang J, Li H, Zhou Y, Fu XD. The RNA binding protein EWS is broadly involved in the regulation of pri-miRNA processing in mammalian cells. Nucleic Acids Res 2019; 45:12481-12495. [PMID: 30053258 PMCID: PMC5716145 DOI: 10.1093/nar/gkx912] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Accepted: 09/27/2017] [Indexed: 12/13/2022] Open
Abstract
The Ewing Sarcoma protein (EWS) is a multifaceted RNA binding protein (RBP) with established roles in transcription, pre-mRNA processing and DNA damage response. By generating high quality EWS-RNA interactome, we uncovered its specific and prevalent interaction with a large subset of primary microRNAs (pri-miRNAs) in mammalian cells. Knockdown of EWS reduced, whereas overexpression enhanced, the expression of its target miRNAs. Biochemical analysis revealed that multiple elements in target pri-miRNAs, including the sequences flanking the stem-loop region, contributed to high affinity EWS binding and sequence swap experiments between target and non-target demonstrated that the flanking sequences provided the specificity for enhanced pri-miRNA processing by the Microprocessor Drosha/DGCR8. Interestingly, while repressing Drosha expression, as reported earlier, we found that EWS was able to enhance the recruitment of Drosha to chromatin. Together, these findings suggest that EWS may positively and negatively regulate miRNA biogenesis via distinct mechanisms, thus providing a new foundation to understand the function of EWS in development and disease.
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Affiliation(s)
- Huiwu Ouyang
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Kai Zhang
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Kristi Fox-Walsh
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California, San Diego, La Jolla, CA 92093-0651, USA
| | - Yang Yang
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Chen Zhang
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Jie Huang
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China
| | - Hairi Li
- Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California, San Diego, La Jolla, CA 92093-0651, USA
| | - Yu Zhou
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China.,Institue of Advanced Studies, Wuhan University, Wuhan 430072, China
| | - Xiang-Dong Fu
- State Key Laboratory of Virology and Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China.,Department of Cellular and Molecular Medicine, Institute of Genomic Medicine, University of California, San Diego, La Jolla, CA 92093-0651, USA
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10
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Ule J, Hwang HW, Darnell RB. The Future of Cross-Linking and Immunoprecipitation (CLIP). Cold Spring Harb Perspect Biol 2018; 10:a032243. [PMID: 30068528 PMCID: PMC6071486 DOI: 10.1101/cshperspect.a032243] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
To understand the assembly and functional outcomes of protein-RNA regulation, it is crucial to precisely identify the positions of such interactions. Cross-linking and immunoprecipitation (CLIP) serves this purpose by exploiting covalent protein-RNA cross-linking and RNA fragmentation, along with a series of stringent purification and quality control steps to prepare complementary DNA (cDNA) libraries for sequencing. Here we describe the core steps of CLIP, its primary variations, and the approaches to data analysis. We present the application of CLIP to studies of specific cell types in genetically engineered mice and discuss the mechanistic and physiologic insights that have already been gained from studies using CLIP. We conclude by discussing the future opportunities for CLIP, including studies of human postmortem tissues from disease patients and controls, RNA epigenetic modifications, and RNA structure. These and other applications of CLIP will continue to unravel fundamental gene regulatory mechanisms while providing important biologic and clinically relevant insights.
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Affiliation(s)
- Jernej Ule
- The Francis Crick Institute, London NW1 1AT, United Kingdom
- Department of Molecular Neuroscience, Institute of Neurology, University College London, London WC1N 3BG, United Kingdom
| | - Hun-Way Hwang
- Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania 15261
| | - Robert B Darnell
- Laboratory of Molecular Neuro-Oncology, The Rockefeller University, New York, New York 10065
- Howard Hughes Medical Institute, The Rockefeller University, New York, New York 10065
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11
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Individual Nucleotide Resolution UV Cross-Linking and Immunoprecipitation (iCLIP) to Determine Protein-RNA Interactions. Methods Mol Biol 2018; 1649:427-454. [PMID: 29130215 DOI: 10.1007/978-1-4939-7213-5_29] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
RNA-binding proteins (RBPs) interact with and determine the fate of many cellular RNA transcripts. In doing so they help direct many essential roles in cellular physiology, while their perturbed activity can contribute to disease etiology. In this chapter we detail a functional genomics approach, termed individual nucleotide resolution UV cross-linking and immunoprecipitation (iCLIP), that can determine the interactions of RBPs with their RNA targets in high throughput and at nucleotide resolution. iCLIP achieves this by exploiting UV-induced covalent cross-links formed between RBPs and their target RNAs to both purify the RBP-RNA complexes under stringent conditions, and to cause reverse transcription stalling that then identifies the direct cross-link sites in the high throughput sequenced cDNA libraries.
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12
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Hosp F, Mann M. A Primer on Concepts and Applications of Proteomics in Neuroscience. Neuron 2017; 96:558-571. [DOI: 10.1016/j.neuron.2017.09.025] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 08/29/2017] [Accepted: 09/14/2017] [Indexed: 02/06/2023]
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13
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Hayakawa-Yano Y, Suyama S, Nogami M, Yugami M, Koya I, Furukawa T, Zhou L, Abe M, Sakimura K, Takebayashi H, Nakanishi A, Okano H, Yano M. An RNA-binding protein, Qki5, regulates embryonic neural stem cells through pre-mRNA processing in cell adhesion signaling. Genes Dev 2017; 31:1910-1925. [PMID: 29021239 PMCID: PMC5693031 DOI: 10.1101/gad.300822.117] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 09/14/2017] [Indexed: 01/07/2023]
Abstract
Cell type-specific transcriptomes are enabled by the action of multiple regulators, which are frequently expressed within restricted tissue regions. In the present study, we identify one such regulator, Quaking 5 (Qki5), as an RNA-binding protein (RNABP) that is expressed in early embryonic neural stem cells and subsequently down-regulated during neurogenesis. mRNA sequencing analysis in neural stem cell culture indicates that Qki proteins play supporting roles in the neural stem cell transcriptome and various forms of mRNA processing that may result from regionally restricted expression and subcellular localization. Also, our in utero electroporation gain-of-function study suggests that the nuclear-type Qki isoform Qki5 supports the neural stem cell state. We next performed in vivo transcriptome-wide protein-RNA interaction mapping to search for direct targets of Qki5 and elucidate how Qki5 regulates neural stem cell function. Combined with our transcriptome analysis, this mapping analysis yielded a bona fide map of Qki5-RNA interaction at single-nucleotide resolution, the identification of 892 Qki5 direct target genes, and an accurate Qki5-dependent alternative splicing rule in the developing brain. Last, our target gene list provides the first compelling evidence that Qki5 is associated with specific biological events; namely, cell-cell adhesion. This prediction was confirmed by histological analysis of mice in which Qki proteins were genetically ablated, which revealed disruption of the apical surface of the lateral wall in the developing brain. These data collectively indicate that Qki5 regulates communication between neural stem cells by mediating numerous RNA processing events and suggest new links between splicing regulation and neural stem cell states.
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Affiliation(s)
- Yoshika Hayakawa-Yano
- Division of Neurobiology and Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8510, Japan
| | - Satoshi Suyama
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Masahiro Nogami
- Shonan Incubation Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.,Integrated Technology Research Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan
| | - Masato Yugami
- Shonan Incubation Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.,Integrated Technology Research Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan
| | - Ikuko Koya
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Takako Furukawa
- Division of Neurobiology and Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8510, Japan
| | - Li Zhou
- Department of Cellular Neurobiology, Brain Research Institute, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8585, Japan
| | - Manabu Abe
- Department of Cellular Neurobiology, Brain Research Institute, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8585, Japan
| | - Kenji Sakimura
- Department of Cellular Neurobiology, Brain Research Institute, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8585, Japan
| | - Hirohide Takebayashi
- Division of Neurobiology and Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8510, Japan
| | - Atsushi Nakanishi
- Shonan Incubation Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan.,Integrated Technology Research Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Kanagawa 251-8555, Japan
| | - Hideyuki Okano
- Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Masato Yano
- Division of Neurobiology and Anatomy, Graduate School of Medical and Dental Sciences, Niigata University, Asahimachidori, Chuo-ku, Niigata, Niigata 951-8510, Japan.,Department of Physiology, Keio University School of Medicine, Shinjuku-ku, Tokyo 160-8582, Japan
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14
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Panni S, Prakash A, Bateman A, Orchard S. The yeast noncoding RNA interaction network. RNA (NEW YORK, N.Y.) 2017; 23:1479-1492. [PMID: 28701522 PMCID: PMC5602107 DOI: 10.1261/rna.060996.117] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 06/26/2017] [Indexed: 06/07/2023]
Abstract
This article describes the creation of the first expert manually curated noncoding RNA interaction networks for S. cerevisiae The RNA-RNA and RNA-protein interaction networks have been carefully extracted from the experimental literature and made available through the IntAct database (www.ebi.ac.uk/intact). We provide an initial network analysis and compare their properties to the much larger protein-protein interaction network. We find that the proteins that bind to ncRNAs in the network contain only a small proportion of classical RNA binding domains. We also see an enrichment of WD40 domains suggesting their direct involvement in ncRNA interactions. We discuss the challenges in collecting noncoding RNA interaction data and the opportunities for worldwide collaboration to fill the unmet need for this data.
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Affiliation(s)
- Simona Panni
- Università della Calabria, Dipartimento di Biologia, Ecologia e Scienze della Terra, Rende 87036, Italy
| | - Ananth Prakash
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Alex Bateman
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
| | - Sandra Orchard
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom
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15
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Mihailovic MK, Chen A, Gonzalez-Rivera JC, Contreras LM. Defective Ribonucleoproteins, Mistakes in RNA Processing, and Diseases. Biochemistry 2017; 56:1367-1382. [PMID: 28206738 DOI: 10.1021/acs.biochem.6b01134] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Ribonucleoproteins (RNPs) are vital to many cellular events. To this end, many neurodegenerative diseases and cancers have been linked to RNP malfunction, particularly as this relates to defective processing of cellular RNA. The connection of RNPs and diseases has also propagated a shift of focus onto RNA targeting from traditional protein targeting treatments. However, therapeutic development in this area has been limited by incomplete molecular insight into the specific contributions of RNPs to disease. This review outlines the role of several RNPs in diseases, focusing on molecular defects in processes that affect proper RNA handling in the cell. This work also evaluates the contributions of recently developed methods to understanding RNP association and function. We review progress in this area by focusing on molecular malfunctions of RNPs associated with the onset and progression of several neurodegenerative diseases and cancer and conclude with a brief discussion of RNA-based therapeutic efforts.
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Affiliation(s)
- Mia K Mihailovic
- McKetta Department of Chemical Engineering, University of Texas at Austin , 200 East. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States
| | - Angela Chen
- McKetta Department of Chemical Engineering, University of Texas at Austin , 200 East. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States
| | - Juan C Gonzalez-Rivera
- McKetta Department of Chemical Engineering, University of Texas at Austin , 200 East. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States
| | - Lydia M Contreras
- McKetta Department of Chemical Engineering, University of Texas at Austin , 200 East. Dean Keeton Street, Stop C0400, Austin, Texas 78712, United States
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16
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Sundararaman B, Zhan L, Blue SM, Stanton R, Elkins K, Olson S, Wei X, Van Nostrand EL, Pratt GA, Huelga SC, Smalec BM, Wang X, Hong EL, Davidson JM, Lécuyer E, Graveley BR, Yeo GW. Resources for the Comprehensive Discovery of Functional RNA Elements. Mol Cell 2016; 61:903-13. [PMID: 26990993 DOI: 10.1016/j.molcel.2016.02.012] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 12/18/2015] [Accepted: 02/08/2016] [Indexed: 10/22/2022]
Abstract
Transcriptome-wide maps of RNA binding protein (RBP)-RNA interactions by immunoprecipitation (IP)-based methods such as RNA IP (RIP) and crosslinking and IP (CLIP) are key starting points for evaluating the molecular roles of the thousands of human RBPs. A significant bottleneck to the application of these methods in diverse cell lines, tissues, and developmental stages is the availability of validated IP-quality antibodies. Using IP followed by immunoblot assays, we have developed a validated repository of 438 commercially available antibodies that interrogate 365 unique RBPs. In parallel, 362 short-hairpin RNA (shRNA) constructs against 276 unique RBPs were also used to confirm specificity of these antibodies. These antibodies can characterize subcellular RBP localization. With the burgeoning interest in the roles of RBPs in cancer, neurobiology, and development, these resources are invaluable to the broad scientific community. Detailed information about these resources is publicly available at the ENCODE portal (https://www.encodeproject.org/).
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Affiliation(s)
- Balaji Sundararaman
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Lijun Zhan
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT 06030, USA
| | - Steven M Blue
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Rebecca Stanton
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Keri Elkins
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Sara Olson
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT 06030, USA
| | - Xintao Wei
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT 06030, USA
| | - Eric L Van Nostrand
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Gabriel A Pratt
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Stephanie C Huelga
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA
| | - Brendan M Smalec
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT 06030, USA
| | - Xiaofeng Wang
- Département de Biochimie, Université de Montréal; Division of Experimental Medicine, McGill University; Institut de Recherches Cliniques de Montréal (IRCM), Montréal, QC H2W 1R7, Canada
| | - Eurie L Hong
- ENCODE Data Coordinating Center (DCC), Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jean M Davidson
- ENCODE Data Coordinating Center (DCC), Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Eric Lécuyer
- Département de Biochimie, Université de Montréal; Division of Experimental Medicine, McGill University; Institut de Recherches Cliniques de Montréal (IRCM), Montréal, QC H2W 1R7, Canada
| | - Brenton R Graveley
- Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, Farmington, CT 06030, USA.
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, Institute for Genomic Medicine, Stem Cell Program, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92037, USA.
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17
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Anand D, Lachke SA. Systems biology of lens development: A paradigm for disease gene discovery in the eye. Exp Eye Res 2016; 156:22-33. [PMID: 26992779 DOI: 10.1016/j.exer.2016.03.010] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2015] [Revised: 03/08/2016] [Accepted: 03/11/2016] [Indexed: 12/19/2022]
Abstract
Over the past several decades, the biology of the developing lens has been investigated using molecular genetics-based approaches in various vertebrate model systems. These efforts, involving target gene knockouts or knockdowns, have led to major advances in our understanding of lens morphogenesis and the pathological basis of cataracts, as well as of other lens related eye defects. In particular, we now have a functional understanding of regulators such as Pax6, Six3, Sox2, Oct1 (Pou2f1), Meis1, Pnox1, Zeb2 (Sip1), Mab21l1, Foxe3, Tfap2a (Ap2-alpha), Pitx3, Sox11, Prox1, Sox1, c-Maf, Mafg, Mafk, Hsf4, Fgfrs, Bmp7, and Tdrd7 in this tissue. However, whether these individual regulators interact or their targets overlap, and the significance of such interactions during lens morphogenesis, is not well defined. The arrival of high-throughput approaches for gene expression profiling (microarrays, RNA-sequencing (RNA-seq), etc.), which can be coupled with chromatin immunoprecipitation (ChIP) or RNA immunoprecipitation (RIP) assays, along with improved computational resources and publically available datasets (e.g. those containing comprehensive protein-protein, protein-DNA information), presents new opportunities to advance our understanding of the lens tissue on a global systems level. Such systems-level knowledge will lead to the derivation of the underlying lens gene regulatory network (GRN), defined as a circuit map of the regulator-target interactions functional in lens development, which can be applied to expedite cataract gene discovery. In this review, we cover the various systems-level approaches such as microarrays, RNA-seq, and ChIP that are already being applied to lens studies and discuss strategies for assembling and interpreting these vast amounts of high-throughput information for effective dispersion to the scientific community. In particular, we discuss strategies for effective interpretation of this new information in the context of the rich knowledge obtained through the application of traditional single-gene focused experiments on the lens. Finally, we discuss our vision for integrating these diverse high-throughput datasets in a single web-based user-friendly tool iSyTE (integrated Systems Tool for Eye gene discovery) - a resource that is already proving effective in the identification and characterization of genes linked to lens development and cataract. We anticipate that application of a similar approach to other ocular tissues such as the retina and the cornea, and even other organ systems, will significantly impact disease gene discovery.
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Affiliation(s)
- Deepti Anand
- Department of Biological Sciences, University of Delaware, Newark, DE, USA
| | - Salil A Lachke
- Department of Biological Sciences, University of Delaware, Newark, DE, USA; Center for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USA.
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18
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Abstract
UV crosslinking immunoprecipitation (CLIP) is an increasingly popular technique to study protein-RNA interactions in tissues and cells. Whole cells or tissues are ultraviolet irradiated to generate a covalent bond between RNA and proteins that are in close contact. After partial RNase digestion, antibodies specific to an RNA binding protein (RBP) or a protein-epitope tag is then used to immunoprecipitate the protein-RNA complexes. After stringent washing and gel separation the RBP-RNA complex is excised. The RBP is protease digested to allow purification of the bound RNA. Reverse transcription of the RNA followed by high-throughput sequencing of the cDNA library is now often used to identify protein bound RNA on a genome-wide scale. UV irradiation can result in cDNA truncations and/or mutations at the crosslink sites, which complicates the alignment of the sequencing library to the reference genome and the identification of the crosslinking sites. Meanwhile, one or more amino acids of a crosslinked RBP can remain attached to its bound RNA due to incomplete digestion of the protein. As a result, reverse transcriptase may not read through the crosslink sites, and produce cDNA ending at the crosslinked nucleotide. This is harnessed by one variant of CLIP methods to identify crosslinking sites at a nucleotide resolution. This method, individual nucleotide resolution CLIP (iCLIP) circularizes cDNA to capture the truncated cDNA and also increases the efficiency of ligating sequencing adapters to the library. Here, we describe the detailed procedure of iCLIP.
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19
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Raj B, Blencowe B. Alternative Splicing in the Mammalian Nervous System: Recent Insights into Mechanisms and Functional Roles. Neuron 2015; 87:14-27. [DOI: 10.1016/j.neuron.2015.05.004] [Citation(s) in RCA: 299] [Impact Index Per Article: 33.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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20
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Regulation of gene expression through production of unstable mRNA isoforms. Biochem Soc Trans 2015; 42:1196-205. [PMID: 25110025 DOI: 10.1042/bst20140102] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Alternative splicing is universally accredited for expanding the information encoded within the transcriptome. In recent years, several tightly regulated alternative splicing events have been reported which do not lead to generation of protein products, but lead to unstable mRNA isoforms. Instead these transcripts are targets for NMD (nonsense-mediated decay) or retained in the nucleus and degraded. In the present review I discuss the regulation of these events, and how many have been implicated in control of gene expression that is instrumental to a number of developmental paradigms. I further discuss their relevance to disease settings and conclude by highlighting technologies that will aid identification of more candidate events in future.
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21
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Nussbacher JK, Batra R, Lagier-Tourenne C, Yeo GW. RNA-binding proteins in neurodegeneration: Seq and you shall receive. Trends Neurosci 2015; 38:226-36. [PMID: 25765321 PMCID: PMC4403644 DOI: 10.1016/j.tins.2015.02.003] [Citation(s) in RCA: 73] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2014] [Revised: 02/02/2015] [Accepted: 02/09/2015] [Indexed: 12/13/2022]
Abstract
As critical players in gene regulation, RNA binding proteins (RBPs) are taking center stage in our understanding of cellular function and disease. In our era of bench-top sequencers and unprecedented computational power, biological questions can be addressed in a systematic, genome-wide manner. Development of high-throughput sequencing (Seq) methodologies provides unparalleled potential to discover new mechanisms of disease-associated perturbations of RNA homeostasis. Complementary to candidate single-gene studies, these innovative technologies may elicit the discovery of unexpected mechanisms, and enable us to determine the widespread influence of the multifunctional RBPs on their targets. Given that the disruption of RNA processing is increasingly implicated in neurological diseases, these approaches will continue to provide insights into the roles of RBPs in disease pathogenesis.
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Affiliation(s)
- Julia K Nussbacher
- Department of Cellular and Molecule Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA
| | - Ranjan Batra
- Department of Cellular and Molecule Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA
| | - Clotilde Lagier-Tourenne
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, USA; Ludwig Institute for Cancer Research, University of California, San Diego, La Jolla, CA, USA.
| | - Gene W Yeo
- Department of Cellular and Molecule Medicine, Institute for Genomic Medicine, UCSD Stem Cell Program, University of California, San Diego, La Jolla, CA, USA; Department of Physiology, National University of Singapore, Singapore.
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22
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Sharifnia P, Jin Y. Regulatory roles of RNA binding proteins in the nervous system of C. elegans. Front Mol Neurosci 2015; 7:100. [PMID: 25628531 PMCID: PMC4290612 DOI: 10.3389/fnmol.2014.00100] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2014] [Accepted: 12/11/2014] [Indexed: 11/24/2022] Open
Abstract
Neurons have evolved to employ many factors involved in the regulation of RNA processing due to their complex cellular compartments. RNA binding proteins (RBPs) are key regulators in transcription, translation, and RNA degradation. Increasing studies have shown that regulatory RNA processing is critical for the establishment, functionality, and maintenance of neural circuits. Recent advances in high-throughput transcriptomics have rapidly expanded our knowledge of the landscape of RNA regulation, but also raised the challenge for mechanistic dissection of the specific roles of RBPs in complex tissues such as the nervous system. The C. elegans genome encodes many RBPs conserved throughout evolution. The rich analytic tools in molecular genetics and simple neural anatomy of C. elegans offer advantages to define functions of genes in vivo at the level of a single cell. Notably, the discovery of microRNAs has had transformative effects to the understanding of neuronal development, circuit plasticity, and neurological diseases. Here we review recent studies unraveling diverse roles of RBPs in the development, function, and plasticity of C. elegans nervous system. We first summarize the general technologies for studying RBPs in C. elegans. We then focus on the roles of several RBPs that control gene- and cell-type specific production of neuronal transcripts.
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Affiliation(s)
- Panid Sharifnia
- Division of Biological Sciences, Neurobiology Section, University of CaliforniaSan Diego, La Jolla, CA, USA
- Neurosciences Graduate Program, University of CaliforniaSan Diego, La Jolla, CA, USA
| | - Yishi Jin
- Division of Biological Sciences, Neurobiology Section, University of CaliforniaSan Diego, La Jolla, CA, USA
- Howard Hughes Medical Institute, University of CaliforniaSan Diego, La Jolla, CA, USA
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23
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Kiebler MA, Scheiffele P, Ule J. What, where, and when: the importance of post-transcriptional regulation in the brain. Front Neurosci 2013; 7:192. [PMID: 24194693 PMCID: PMC3810603 DOI: 10.3389/fnins.2013.00192] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Accepted: 10/05/2013] [Indexed: 01/14/2023] Open
Affiliation(s)
- Michael A Kiebler
- Department for Anatomy and Cell Biology, Ludwig Maximilian University Munich, Germany
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24
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Baralle FE, Buratti E. RNA and splicing regulation in neurodegeneration. Mol Cell Neurosci 2013; 56:404-5. [PMID: 24090657 DOI: 10.1016/j.mcn.2013.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2013] [Revised: 08/01/2013] [Accepted: 08/31/2013] [Indexed: 10/26/2022] Open
Affiliation(s)
- Francisco E Baralle
- International Centre for Genetic Engineering and Biotechnology (ICGEB) 34149 Trieste, Italy; Padriciano 99, 34149 Trieste, Italy.
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