1
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Fakhraldeen SA, Berry SM, Beebe DJ, Roopra A, Bisbach CM, Spiegelman VS, Niemi NM, Alexander CM. Enhanced immunoprecipitation techniques for the identification of RNA-binding protein partners: IGF2BP1 interactions in mammary epithelial cells. J Biol Chem 2022; 298:101649. [PMID: 35104504 PMCID: PMC8891971 DOI: 10.1016/j.jbc.2022.101649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 11/24/2022] Open
Abstract
RNA-binding proteins (RBPs) regulate the expression of large cohorts of RNA species to produce programmatic changes in cellular phenotypes. To describe the function of RBPs within a cell, it is key to identify their mRNA-binding partners. This is often done by crosslinking nucleic acids to RBPs, followed by chemical release of the nucleic acid fragments for analysis. However, this methodology is lengthy, which involves complex processing with attendant sample losses, thus large amounts of starting materials and prone to artifacts. To evaluate potential alternative technologies, we tested “exclusion-based” purification of immunoprecipitates (IFAST or SLIDE) and report here that these methods can efficiently, rapidly, and specifically isolate RBP–RNA complexes. The analysis requires less than 1% of the starting material required for techniques that include crosslinking. Depending on the antibody used, 50% to 100% starting protein can be retrieved, facilitating the assay of endogenous levels of RBPs; the isolated ribonucleoproteins are subsequently analyzed using standard techniques, to provide a comprehensive portrait of RBP complexes. Using exclusion-based techniques, we show that the mRNA-binding partners for RBP IGF2BP1 in cultured mammary epithelial cells are enriched in mRNAs important for detoxifying superoxides (specifically glutathione peroxidase [GPX]-1 and GPX-2) and mRNAs encoding mitochondrial proteins. We show that these interactions are functionally significant, as loss of function of IGF2BP1 leads to destabilization of GPX mRNAs and reduces mitochondrial membrane potential and oxygen consumption. We speculate that this underlies a consistent requirement for IGF2BP1 for the expression of clonogenic activity in vitro.
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Affiliation(s)
- Saja A Fakhraldeen
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Scott M Berry
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - David J Beebe
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Avtar Roopra
- Department of Neuroscience, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Celia M Bisbach
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Vladimir S Spiegelman
- Division of Pediatric Hematology/Oncology, Department of Pediatrics, Pennsylvania State University College of Medicine, Hershey, Pennsylvania, USA
| | - Natalie M Niemi
- Department of Biochemistry & Molecular Biophysics, Washington University in St Louis
| | - Caroline M Alexander
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, USA.
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2
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Braun MR, Noton SL, Blanchard EL, Shareef A, Santangelo PJ, Johnson WE, Fearns R. Respiratory syncytial virus M2-1 protein associates non-specifically with viral messenger RNA and with specific cellular messenger RNA transcripts. PLoS Pathog 2021; 17:e1009589. [PMID: 34003848 PMCID: PMC8162694 DOI: 10.1371/journal.ppat.1009589] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 05/28/2021] [Accepted: 04/26/2021] [Indexed: 11/18/2022] Open
Abstract
Respiratory syncytial virus (RSV) is a major cause of respiratory disease in infants and the elderly. RSV is a non-segmented negative strand RNA virus. The viral M2-1 protein plays a key role in viral transcription, serving as an elongation factor to enable synthesis of full-length mRNAs. M2-1 contains an unusual CCCH zinc-finger motif that is conserved in the related human metapneumovirus M2-1 protein and filovirus VP30 proteins. Previous biochemical studies have suggested that RSV M2-1 might bind to specific virus RNA sequences, such as the transcription gene end signals or poly A tails, but there was no clear consensus on what RSV sequences it binds. To determine if M2-1 binds to specific RSV RNA sequences during infection, we mapped points of M2-1:RNA interactions in RSV-infected cells at 8 and 18 hours post infection using crosslinking immunoprecipitation with RNA sequencing (CLIP-Seq). This analysis revealed that M2-1 interacts specifically with positive sense RSV RNA, but not negative sense genome RNA. It also showed that M2-1 makes contacts along the length of each viral mRNA, indicating that M2-1 functions as a component of the transcriptase complex, transiently associating with nascent mRNA being extruded from the polymerase. In addition, we found that M2-1 binds specific cellular mRNAs. In contrast to the situation with RSV mRNA, M2-1 binds discrete sites within cellular mRNAs, with a preference for A/U rich sequences. These results suggest that in addition to its previously described role in transcription elongation, M2-1 might have an additional role involving cellular RNA interactions.
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Affiliation(s)
- Molly R. Braun
- Department of Microbiology, Boston University School of Medicine; National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, United States of America
| | - Sarah L. Noton
- Department of Microbiology, Boston University School of Medicine; National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, United States of America
| | - Emmeline L. Blanchard
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America
| | - Afzaal Shareef
- Department of Microbiology, Boston University School of Medicine; National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, United States of America
| | - Philip J. Santangelo
- Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, United States of America
| | - W. Evan Johnson
- Division of Computational Biomedicine and Bioinformatics Program and Department of Biostatistics, Boston University, Boston, Massachusetts, United States of America
| | - Rachel Fearns
- Department of Microbiology, Boston University School of Medicine; National Emerging Infectious Diseases Laboratories, Boston University, Boston, Massachusetts, United States of America
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3
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Conserved long-range base pairings are associated with pre-mRNA processing of human genes. Nat Commun 2021; 12:2300. [PMID: 33863890 PMCID: PMC8052449 DOI: 10.1038/s41467-021-22549-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 03/20/2021] [Indexed: 02/07/2023] Open
Abstract
The ability of nucleic acids to form double-stranded structures is essential for all living systems on Earth. Current knowledge on functional RNA structures is focused on locally-occurring base pairs. However, crosslinking and proximity ligation experiments demonstrated that long-range RNA structures are highly abundant. Here, we present the most complete to-date catalog of conserved complementary regions (PCCRs) in human protein-coding genes. PCCRs tend to occur within introns, suppress intervening exons, and obstruct cryptic and inactive splice sites. Double-stranded structure of PCCRs is supported by decreased icSHAPE nucleotide accessibility, high abundance of RNA editing sites, and frequent occurrence of forked eCLIP peaks. Introns with PCCRs show a distinct splicing pattern in response to RNAPII slowdown suggesting that splicing is widely affected by co-transcriptional RNA folding. The enrichment of 3'-ends within PCCRs raises the intriguing hypothesis that coupling between RNA folding and splicing could mediate co-transcriptional suppression of premature pre-mRNA cleavage and polyadenylation.
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4
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Luo EC, Nathanson JL, Tan FE, Schwartz JL, Schmok JC, Shankar A, Markmiller S, Yee BA, Sathe S, Pratt GA, Scaletta DB, Ha Y, Hill DE, Aigner S, Yeo GW. Large-scale tethered function assays identify factors that regulate mRNA stability and translation. Nat Struct Mol Biol 2020; 27:989-1000. [PMID: 32807991 DOI: 10.1038/s41594-020-0477-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 07/02/2020] [Indexed: 02/07/2023]
Abstract
The molecular functions of the majority of RNA-binding proteins (RBPs) remain unclear, highlighting a major bottleneck to a full understanding of gene expression regulation. Here, we develop a plasmid resource of 690 human RBPs that we subject to luciferase-based 3'-untranslated-region tethered function assays to pinpoint RBPs that regulate RNA stability or translation. Enhanced UV-cross-linking and immunoprecipitation of these RBPs identifies thousands of endogenous mRNA targets that respond to changes in RBP level, recapitulating effects observed in tethered function assays. Among these RBPs, the ubiquitin-associated protein 2-like (UBAP2L) protein interacts with RNA via its RGG domain and cross-links to mRNA and rRNA. Fusion of UBAP2L to RNA-targeting CRISPR-Cas9 demonstrates programmable translational enhancement. Polysome profiling indicates that UBAP2L promotes translation of target mRNAs, particularly global regulators of translation. Our tethering survey allows rapid assignment of the molecular activity of proteins, such as UBAP2L, to specific steps of mRNA metabolism.
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Affiliation(s)
- En-Ching Luo
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Jason L Nathanson
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Frederick E Tan
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Joshua L Schwartz
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Jonathan C Schmok
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Archana Shankar
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Sebastian Markmiller
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, 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.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Shashank Sathe
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, 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.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Duy B Scaletta
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Yuanchi Ha
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - David E Hill
- Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA, USA
| | - Stefan Aigner
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California, San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA, USA. .,Stem Cell Program, 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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5
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Gu L, Wang L, Chen H, Hong J, Shen Z, Dhall A, Lao T, Liu C, Wang Z, Xu Y, Tang HW, Chakraborty D, Chen J, Liu Z, Rogulja D, Perrimon N, Wu H, Shi Y. CG14906 (mettl4) mediates m 6A methylation of U2 snRNA in Drosophila. Cell Discov 2020; 6:44. [PMID: 32637152 PMCID: PMC7324582 DOI: 10.1038/s41421-020-0178-7] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2020] [Accepted: 05/09/2020] [Indexed: 01/01/2023] Open
Affiliation(s)
- Lei Gu
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Longfei Wang
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115 USA
| | - Hao Chen
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Jiaxu Hong
- Department of Ophthalmology and Vision Science, Shanghai Eye, Ear, Nose and Throat Hospital, Fudan University, 200031 Shanghai, China
- Department of Ophthalmology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550004 China
| | - Zhangfei Shen
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Abhinav Dhall
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Taotao Lao
- Division of Rheumatology, Allergy and Immunology, Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Charlestown, MA 02129 USA
| | - Chaozhong Liu
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Zheng Wang
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Yifan Xu
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Hong-Wen Tang
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115 USA
| | - Damayanti Chakraborty
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
| | - Jiekai Chen
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, Guangdong 510530 China
| | - Zhihua Liu
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115 USA
| | - Dragana Rogulja
- Department of Neurobiology, Harvard Medical School, Boston, MA 02115 USA
| | - Norbert Perrimon
- Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115 USA
- Howard Hughes Medical Institute, 77 Avenue Louis Pasteur, Boston, MA 02115 USA
| | - Hao Wu
- Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115 USA
- Program in Cellular and Molecular Medicine, Boston Children’s Hospital, Boston, MA 02115 USA
| | - Yang Shi
- Department of Medicine, Division of Newborn Medicine and Epigenetics Programe, Boston Children’s Hospital, Boston, MA 02115 USA
- Department of Cell Biology, Harvard Medical School, Boston, MA 02115 USA
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6
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Chen X, Castro SA, Liu Q, Hu W, Zhang S. Practical considerations on performing and analyzing CLIP-seq experiments to identify transcriptomic-wide RNA-protein interactions. Methods 2019; 155:49-57. [PMID: 30527764 PMCID: PMC6387833 DOI: 10.1016/j.ymeth.2018.12.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2018] [Revised: 11/27/2018] [Accepted: 12/03/2018] [Indexed: 10/27/2022] Open
Abstract
RNA-binding proteins are important players in post-transcriptional regulation, such as modulating mRNA splicing, translation, and degradation under diverse biological settings. Identifying and characterizing the RNA substrates is a critical step in deciphering the function and molecular mechanisms of the target RNA-binding proteins. High-throughput sequencing of the RNA fragments isolated by crosslinking immunoprecipitation (CLIP-seq) is one of the standard techniques to identify the in vivo transcriptome-wide binding sites of the target RNA-binding protein. This method is widely used in functional and mechanistic characterizations of RNA-binding proteins. In this review, we provide several practical considerations on performing and analyzing CLIP-seq experiments. Particularly, we focus on how to perform CLIP-seq experiments on endogenous RNA-binding proteins. In addition, we provide a practical summary on how to choose and use computational pipelines from an increasing number of computational methods and packages that are available for analyzing the sequencing datasets from the CLIP-seq experiments. We hope these practical considerations will facilitate experimental biologists in performing and analyzing CLIP-seq experiment to obtain biologically relevant mechanistic insights.
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Affiliation(s)
- Xiaoli Chen
- Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA
| | - Sarah A Castro
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
| | - Qiuying Liu
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
| | - Wenqian Hu
- Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA.
| | - Shaojie Zhang
- Department of Computer Science, University of Central Florida, Orlando, FL 32816, USA.
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7
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Bovaird S, Patel D, Padilla JCA, Lécuyer E. Biological functions, regulatory mechanisms, and disease relevance of RNA localization pathways. FEBS Lett 2018; 592:2948-2972. [PMID: 30132838 DOI: 10.1002/1873-3468.13228] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Revised: 08/06/2018] [Accepted: 08/17/2018] [Indexed: 12/12/2022]
Abstract
The asymmetric subcellular distribution of RNA molecules from their sites of transcription to specific compartments of the cell is an important aspect of post-transcriptional gene regulation. This involves the interplay of intrinsic cis-regulatory elements within the RNA molecules with trans-acting RNA-binding proteins and associated factors. Together, these interactions dictate the intracellular localization route of RNAs, whose downstream impacts have wide-ranging implications in cellular physiology. In this review, we examine the mechanisms underlying RNA localization and discuss their biological significance. We also review the growing body of evidence pointing to aberrant RNA localization pathways in the development and progression of diseases.
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Affiliation(s)
- Samantha Bovaird
- Institut de recherches cliniques de Montréal (IRCM), QC, Canada.,Division of Experimental Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Dhara Patel
- Institut de recherches cliniques de Montréal (IRCM), QC, Canada.,Molecular Biology Program, Faculty of Medicine, Université de Montréal, QC, Canada
| | - Juan-Carlos Alberto Padilla
- Institut de recherches cliniques de Montréal (IRCM), QC, Canada.,Division of Experimental Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Eric Lécuyer
- Institut de recherches cliniques de Montréal (IRCM), QC, Canada.,Division of Experimental Medicine, Faculty of Medicine, McGill University, Montreal, QC, Canada.,Molecular Biology Program, Faculty of Medicine, Université de Montréal, QC, Canada.,Department of Biochemistry and Molecular Medicine, Université de Montréal, QC, Canada
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8
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Park JE, Cartegni L. In Vitro Modulation of Endogenous Alternative Splicing Using Splice-Switching Antisense Oligonucleotides. Methods Mol Biol 2018; 1648:39-52. [PMID: 28766288 DOI: 10.1007/978-1-4939-7204-3_4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Regulation of alternative splicing can be harnessed by antisense-based compounds to control gene expression. Antisense-mediated splicing interference has become a valuable molecular tool to modulate endogenous alternative splicing patterns, to correct cryptic or aberrant splicing, to reduce gene expression by triggering nonsense-mediated mRNA decay, and to activate intronic polyadenylation, both in vitro and in vivo. Here, we describe methods to induce and analyze the modulation of RNA processing, using modified splice-switching antisense oligonucleotides, such as phosphorodiamidate morpholino (PMO).
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Affiliation(s)
- Jeong Eun Park
- Susan Lehman Cullman Laboratory for Cancer Research, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, USA
| | - Luca Cartegni
- Susan Lehman Cullman Laboratory for Cancer Research, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
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9
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Wheeler EC, Van Nostrand EL, Yeo GW. Advances and challenges in the detection of transcriptome-wide protein-RNA interactions. WILEY INTERDISCIPLINARY REVIEWS-RNA 2017; 9. [PMID: 28853213 PMCID: PMC5739989 DOI: 10.1002/wrna.1436] [Citation(s) in RCA: 117] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Revised: 06/28/2017] [Accepted: 07/03/2017] [Indexed: 12/14/2022]
Abstract
RNA binding proteins (RBPs) play key roles in determining cellular behavior by manipulating the processing of target RNAs. Robust methods are required to detect the numerous binding sites of RBPs across the transcriptome. RNA‐immunoprecipitation followed by sequencing (RIP‐seq) and crosslinking followed by immunoprecipitation and sequencing (CLIP‐seq) are state‐of‐the‐art methods used to identify the RNA targets and specific binding sites of RBPs. Historically, CLIP methods have been confounded with challenges such as the requirement for tens of millions of cells per experiment, low RNA yields resulting in libraries that contain a high number of polymerase chain reaction duplicated reads, and technical inconveniences such as radioactive labeling of RNAs. However, recent improvements in the recovery of bound RNAs and the efficiency of converting isolated RNAs into a library for sequencing have enhanced our ability to perform the experiment at scale, from less starting material than has previously been possible, and resulting in high quality datasets for the confident identification of protein binding sites. These, along with additional improvements to protein capture, removal of nonspecific signals, and methods to isolate noncanonical RBP targets have revolutionized the study of RNA processing regulation, and reveal a promising future for mapping the human protein‐RNA regulatory network. WIREs RNA 2018, 9:e1436. doi: 10.1002/wrna.1436 This article is categorized under:
RNA Interactions with Proteins and Other Molecules > Protein–RNA Recognition RNA Interactions with Proteins and Other Molecules > Protein–RNA Interactions: Functional Implications RNA Methods > RNA Analyses in Cells
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Affiliation(s)
- Emily C Wheeler
- Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California at San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA, USA
| | - Eric L Van Nostrand
- Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California at San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA, USA
| | - Gene W Yeo
- Department of Cellular and Molecular Medicine, University of California at San Diego, La Jolla, CA, USA.,Stem Cell Program, University of California at San Diego, La Jolla, CA, USA.,Institute for Genomic Medicine, University of California at San Diego, La Jolla, CA, USA.,Molecular Engineering Laboratory, A*STAR, Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
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10
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Ye J, Jin H, Pankov A, Song JS, Blelloch R. NF45 and NF90/NF110 coordinately regulate ESC pluripotency and differentiation. RNA (NEW YORK, N.Y.) 2017; 23:1270-1284. [PMID: 28487382 PMCID: PMC5513071 DOI: 10.1261/rna.061499.117] [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: 03/24/2017] [Accepted: 05/01/2017] [Indexed: 06/07/2023]
Abstract
While years of investigation have elucidated many aspects of embryonic stem cell (ESC) regulation, the contributions of post-transcriptional and translational mechanisms to the pluripotency network remain largely unexplored. In particular, little is known in ESCs about the function of RNA binding proteins (RBPs), the protein agents of post-transcriptional regulation. We performed an unbiased RNAi screen of RBPs in an ESC differentiation assay and identified two related genes, NF45 (Ilf2) and NF90/NF110 (Ilf3), whose knockdown promoted differentiation to an epiblast-like state. Characterization of NF45 KO, NF90 + NF110 KO, and NF110 KO ESCs showed that loss of NF45 or NF90 + NF110 impaired ESC proliferation and led to dysregulated differentiation down embryonic lineages. Additionally, we found that NF45 and NF90/NF110 physically interact and influence the expression of each other at different levels of regulation. Globally across the transcriptome, NF45 KO ESCs and NF90 + NF110 KO ESCs show similar expression changes. Moreover, NF90 + NF110 RNA immunoprecipitation (RIP)-seq in ESCs suggested that NF90/NF110 directly regulate proliferation, differentiation, and RNA-processing genes. Our data support a model in which NF45, NF90, and NF110 operate in feedback loops that enable them, through both overlapping and independent targets, to help balance the push and pull of pluripotency and differentiation cues.
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Affiliation(s)
- Julia Ye
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Center for Reproductive Sciences, University of California, San Francisco, San Francisco, California 94143, USA
- Department of Urology, University of California, San Francisco, San Francisco, California 94143, USA
| | - Hu Jin
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Physics, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Aleksandr Pankov
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California 94158, USA
| | - Jun S Song
- Carl R. Woese Institute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Physics, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801, USA
- Department of Bioengineering, University of Illinois, Urbana-Champaign, Urbana, Illinois 61801, USA
| | - Robert Blelloch
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, Center for Reproductive Sciences, University of California, San Francisco, San Francisco, California 94143, USA
- Department of Urology, University of California, San Francisco, San Francisco, California 94143, USA
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Uhl M, Houwaart T, Corrado G, Wright PR, Backofen R. Computational analysis of CLIP-seq data. Methods 2017; 118-119:60-72. [PMID: 28254606 DOI: 10.1016/j.ymeth.2017.02.006] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 02/17/2017] [Accepted: 02/20/2017] [Indexed: 01/01/2023] Open
Abstract
CLIP-seq experiments are currently the most important means for determining the binding sites of RNA binding proteins on a genome-wide level. The computational analysis can be divided into three steps. In the first pre-processing stage, raw reads have to be trimmed and mapped to the genome. This step has to be specifically adapted for each CLIP-seq protocol. The next step is peak calling, which is required to remove unspecific signals and to determine bona fide protein binding sites on target RNAs. Here, both protocol-specific approaches as well as generic peak callers are available. Despite some peak callers being more widely used, each peak caller has its specific assets and drawbacks, and it might be advantageous to compare the results of several methods. Although peak calling is often the final step in many CLIP-seq publications, an important follow-up task is the determination of binding models from CLIP-seq data. This is central because CLIP-seq experiments are highly dependent on the transcriptional state of the cell in which the experiment was performed. Thus, relying solely on binding sites determined by CLIP-seq from different cells or conditions can lead to a high false negative rate. This shortcoming can, however, be circumvented by applying models that predict additional putative binding sites.
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Affiliation(s)
- Michael Uhl
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Germany
| | - Torsten Houwaart
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Germany
| | - Gianluca Corrado
- Department of Information Engineering and Computer Science, University of Trento, Italy
| | - Patrick R Wright
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Germany
| | - Rolf Backofen
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Germany; Centre for Biological Signalling Studies (BIOSS), University of Freiburg, Freiburg, Germany
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Purification of Transcript-Specific mRNP Complexes Formed In Vivo from Saccharomyces cerevisiae. Methods Mol Biol 2017; 1648:201-220. [PMID: 28766299 DOI: 10.1007/978-1-4939-7204-3_15] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
RNA binding proteins play critical roles in shaping the complex life cycle of cellular transcripts. For most RNAs, the association with a distinct complement of proteins serves to orchestrate its unique pattern of maturation, localization, translation, and stability. A key aspect to understanding how transcripts are differentially regulated lies, therefore, in the ability to identify the particular repertoire of protein binding partners associated with an individual transcript. We describe here an optimized experimental procedure for purifying a single mRNA population from yeast cells for the characterization of transcript-specific mRNA-protein complexes (mRNPs) as they exist in vivo. Chemical cross-linking is used to trap native mRNPs and facilitate the co-purification of protein complexes associated with an individual transcript population that is captured under stringent conditions from cell lysates through hybridization to complementary DNA oligonucleotides. The resulting mRNP is highly enriched and largely devoid of non-target transcripts, and can be used for a number of downstream analyses including protein identification by mass spectrometry.
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