1
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Choi Y, Um B, Na Y, Kim J, Kim JS, Kim VN. Time-resolved profiling of RNA binding proteins throughout the mRNA life cycle. Mol Cell 2024; 84:1764-1782.e10. [PMID: 38593806 DOI: 10.1016/j.molcel.2024.03.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 02/16/2024] [Accepted: 03/14/2024] [Indexed: 04/11/2024]
Abstract
mRNAs continually change their protein partners throughout their lifetimes, yet our understanding of mRNA-protein complex (mRNP) remodeling is limited by a lack of temporal data. Here, we present time-resolved mRNA interactome data by performing pulse metabolic labeling with photoactivatable ribonucleoside in human cells, UVA crosslinking, poly(A)+ RNA isolation, and mass spectrometry. This longitudinal approach allowed the quantification of over 700 RNA binding proteins (RBPs) across ten time points. Overall, the sequential order of mRNA binding aligns well with known functions, subcellular locations, and molecular interactions. However, we also observed RBPs with unexpected dynamics: the transcription-export (TREX) complex recruited posttranscriptionally after nuclear export factor 1 (NXF1) binding, challenging the current view of transcription-coupled mRNA export, and stress granule proteins prevalent in aged mRNPs, indicating roles in late stages of the mRNA life cycle. To systematically identify mRBPs with unknown functions, we employed machine learning to compare mRNA binding dynamics with Gene Ontology (GO) annotations. Our data can be explored at chronology.rna.snu.ac.kr.
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Affiliation(s)
- Yeon Choi
- Center for RNA Research, Institute for Basic Science, Seoul 08826, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Buyeon Um
- Center for RNA Research, Institute for Basic Science, Seoul 08826, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Yongwoo Na
- Center for RNA Research, Institute for Basic Science, Seoul 08826, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Jeesoo Kim
- Center for RNA Research, Institute for Basic Science, Seoul 08826, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea
| | - Jong-Seo Kim
- Center for RNA Research, Institute for Basic Science, Seoul 08826, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.
| | - V Narry Kim
- Center for RNA Research, Institute for Basic Science, Seoul 08826, Republic of Korea; School of Biological Sciences, Seoul National University, Seoul 08826, Republic of Korea.
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2
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Bessler L, Groß J, Kampf CJ, Opatz T, Helm M. Reversible oxidative dimerization of 4-thiouridines in tRNA isolates. RSC Chem Biol 2024; 5:216-224. [PMID: 38456039 PMCID: PMC10915967 DOI: 10.1039/d3cb00221g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 01/31/2024] [Indexed: 03/09/2024] Open
Abstract
The occurrence of non-canonical nucleoside structures in RNA of biological or synthetic origin has encountered several recent boosts in attention, namely in the context of RNA modifications, and with an eye to RNA vaccines. New nucleoside structures introduce added functionality and function into biopolymers that are otherwise rather homogenous in their chemical structure. Here, we report the discovery of a presumed RNA modification that was identified by combination of liquid chromatography-tandem mass spectrometry (LC-MS/MS) with stable isotope labelling as a dimer of the known RNA modification 4-thiouridine (s4U). The disulfide-linked structure, which had previously been synthetically introduced into RNA, was here formed spontaneously in isolates of E. coli tRNA. Judicious application of stable isotope labelling suggested that this presumed new RNA modification was rather generated ex vivo by oxidation with ambient oxygen. These findings do not only underscore the need for caution in the discovery of new RNA modifications with respect to artifacts, but also raise awareness of an RNA vulnerability, especially to oxidative damage, during its transport or storage.
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Affiliation(s)
- Larissa Bessler
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University Mainz Staudingerweg 5 55128 Mainz Germany
| | - Jonathan Groß
- Department of Chemistry, Johannes Gutenberg University Mainz Duesbergweg 10-14 55128 Mainz Germany
| | - Christopher J Kampf
- Department of Chemistry, Johannes Gutenberg University Mainz Duesbergweg 10-14 55128 Mainz Germany
| | - Till Opatz
- Department of Chemistry, Johannes Gutenberg University Mainz Duesbergweg 10-14 55128 Mainz Germany
| | - Mark Helm
- Institute of Pharmaceutical and Biomedical Sciences, Johannes Gutenberg University Mainz Staudingerweg 5 55128 Mainz Germany
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3
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Ohashi S, Nakamura M, Acharyya S, Inagaki M, Abe N, Kimura Y, Hashiya F, Abe H. Development and Comparison of 4-Thiouridine to Cytidine Base Conversion Reaction. ACS OMEGA 2024; 9:9300-9308. [PMID: 38434802 PMCID: PMC10905967 DOI: 10.1021/acsomega.3c08516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 01/14/2024] [Accepted: 02/01/2024] [Indexed: 03/05/2024]
Abstract
To study transcriptome dynamics without harming cells, it is essential to convert chemical bases. 4-Thiouridine (4sU) is a biocompatible uridine analogue that can be converted into a cytidine analogue. Although several reactions can convert 4sU into a cytidine analogue, few studies have compared the features of these reactions. In this study, we performed three reported base conversion reactions, including osmium tetroxide, iodoacetamide, and sodium periodate treatment, as well as a new reaction using 2,4-dinitrofluorobenzene. We compared the reaction time, conversion efficacy, and effects on reverse transcription. These reactions successfully converted 4sU into a cytidine analogue quantitatively using trinucleotides. However, the conversion efficacy and effect on reverse transcription vary depending on the reaction with the RNA transcript. OsO4 treatment followed by NH4Cl treatment showed the best base-conversion efficiency. Nevertheless, each reaction has its own advantages and disadvantages as a tool for studying the transcriptome. Therefore, it is crucial to select the appropriate reaction for the target of interest.
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Affiliation(s)
- Sana Ohashi
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - Mayu Nakamura
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - Susit Acharyya
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - Masahito Inagaki
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - Naoko Abe
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - Yasuaki Kimura
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
| | - Fumitaka Hashiya
- Research
Center for Material Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
| | - Hiroshi Abe
- Graduate
School of Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
- Research
Center for Material Science, Nagoya University, Nagoya, Aichi 464-8602, Japan
- CREST, Japan Science and Technology Agency, Kawaguchi, Saitama 332-0012, Japan
- Institute
for Glyco-core Research (iGCORE), Nagoya
University, Nagoya, Aichi 464-8602, Japan
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4
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Mahendrawada L, Warfield L, Donczew R, Hahn S. Surprising connections between DNA binding and function for the near-complete set of yeast transcription factors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.25.550593. [PMID: 37546716 PMCID: PMC10402042 DOI: 10.1101/2023.07.25.550593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
DNA sequence-specific transcription factors (TFs) modulate transcription and chromatin architecture, acting from regulatory sites in enhancers and promoters of eukaryotic genes. How TFs locate their DNA targets and how multiple TFs cooperate to regulate individual genes is still unclear. Most yeast TFs are thought to regulate transcription via binding to upstream activating sequences, situated within a few hundred base pairs upstream of the regulated gene. While this model has been validated for individual TFs and specific genes, it has not been tested in a systematic way with the large set of yeast TFs. Here, we have integrated information on the binding and expression targets for the near-complete set of yeast TFs. While we found many instances of functional TF binding sites in upstream regulatory regions, we found many more instances that do not fit this model. In many cases, rapid TF depletion affects gene expression where there is no detectable binding of that TF to the upstream region of the affected gene. In addition, for most TFs, only a small fraction of bound TFs regulates the nearby gene, showing that TF binding does not automatically correspond to regulation of the linked gene. Finally, we found that only a small percentage of TFs are exclusively strong activators or repressors with most TFs having dual function. Overall, our comprehensive mapping of TF binding and regulatory targets have both confirmed known TF relationships and revealed surprising properties of TF function.
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5
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Sugio Y, Yamagami R, Shigi N, Hori H. A selective and sensitive detection system for 4-thiouridine modification in RNA. RNA (NEW YORK, N.Y.) 2023; 29:241-251. [PMID: 36411056 PMCID: PMC9891261 DOI: 10.1261/rna.079445.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Accepted: 11/14/2022] [Indexed: 06/16/2023]
Abstract
4-Thiouridine (s4U) is a modified nucleoside, found at positions 8 and 9 in tRNA from eubacteria and archaea. Studies of the biosynthetic pathway and physiological role of s4U in tRNA are ongoing in the tRNA modification field. s4U has also recently been utilized as a biotechnological tool for analysis of RNAs. Therefore, a selective and sensitive system for the detection of s4U is essential for progress in the fields of RNA technologies and tRNA modification. Here, we report the use of biotin-coupled 2-aminoethyl-methanethiosulfonate (MTSEA biotin-XX) for labeling of s4U and demonstrate that the system is sensitive and quantitative. This technique can be used without denaturation; however, addition of a denaturation step improves the limit of detection. Thermus thermophilus tRNAs, which abundantly contain 5-methyl-2-thiouridine, were tested to investigate the selectivity of the MTSEA biotin-XX s4U detection system. The system did not react with 5-methyl-2-thiouridine in tRNAs from a T. thermophilus tRNA 4-thiouridine synthetase (thiI) gene deletion strain. Thus, the most useful advantage of the MTSEA biotin-XX s4U detection system is that MTSEA biotin-XX reacts only with s4U and not with other sulfur-containing modified nucleosides such as s2U derivatives in tRNAs. Furthermore, the MTSEA biotin-XX s4U detection system can analyze multiple samples in a short time span. The MTSEA biotin-XX s4U detection system can also be used for the analysis of s4U formation in tRNA. Finally, we demonstrate that the MTSEA biotin-XX system can be used to visualize newly transcribed tRNAs in S. cerevisiae cells.
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Affiliation(s)
- Yuzuru Sugio
- Department of Materials Science and Biotechnology, Graduate School of Science and Engineering, Ehime University, Matsuyama, Ehime 790-8577, Japan
| | - Ryota Yamagami
- Department of Materials Science and Biotechnology, Graduate School of Science and Engineering, Ehime University, Matsuyama, Ehime 790-8577, Japan
| | - Naoki Shigi
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Koto-ku, Tokyo 135-0064, Japan
| | - Hiroyuki Hori
- Department of Materials Science and Biotechnology, Graduate School of Science and Engineering, Ehime University, Matsuyama, Ehime 790-8577, Japan
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6
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Warfield L, Donczew R, Mahendrawada L, Hahn S. Yeast Mediator facilitates transcription initiation at most promoters via a Tail-independent mechanism. Mol Cell 2022; 82:4033-4048.e7. [PMID: 36208626 PMCID: PMC9637718 DOI: 10.1016/j.molcel.2022.09.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/12/2022] [Accepted: 09/13/2022] [Indexed: 11/06/2022]
Abstract
Mediator (MED) is a conserved factor with important roles in basal and activated transcription. Here, we investigate the genome-wide roles of yeast MED by rapid depletion of its activator-binding domain (Tail) and monitoring changes in nascent transcription. Rapid Tail depletion surprisingly reduces transcription from only a small subset of genes. At most of these Tail-dependent genes, in unperturbed conditions, MED is detected at both the UASs and promoters. In contrast, at most Tail-independent genes, we find MED primarily at promoters but not at the UASs. These results suggest that MED Tail and activator-mediated MED recruitment regulates only a small subset of genes. Furthermore, we define three classes of genes that differ in PIC assembly pathways and the requirements for MED Tail, SAGA, TFIID, and BET factors Bdf1/2. Our combined results have broad implications for the roles of MED, other coactivators, and mechanisms of transcriptional regulation at different gene classes.
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Affiliation(s)
- Linda Warfield
- Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Mailstop A1-162, Seattle, WA 98109, USA
| | - Rafal Donczew
- Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Mailstop A1-162, Seattle, WA 98109, USA
| | - Lakshmi Mahendrawada
- Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Mailstop A1-162, Seattle, WA 98109, USA
| | - Steven Hahn
- Fred Hutchinson Cancer Center, 1100 Fairview Ave N, Mailstop A1-162, Seattle, WA 98109, USA.
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7
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Hluchý M, Gajdušková P, Ruiz de Los Mozos I, Rájecký M, Kluge M, Berger BT, Slabá Z, Potěšil D, Weiß E, Ule J, Zdráhal Z, Knapp S, Paruch K, Friedel CC, Blazek D. CDK11 regulates pre-mRNA splicing by phosphorylation of SF3B1. Nature 2022; 609:829-834. [PMID: 36104565 DOI: 10.1038/s41586-022-05204-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 08/08/2022] [Indexed: 11/09/2022]
Abstract
RNA splicing, the process of intron removal from pre-mRNA, is essential for the regulation of gene expression. It is controlled by the spliceosome, a megadalton RNA-protein complex that assembles de novo on each pre-mRNA intron through an ordered assembly of intermediate complexes1,2. Spliceosome activation is a major control step that requires substantial protein and RNA rearrangements leading to a catalytically active complex1-5. Splicing factor 3B subunit 1 (SF3B1) protein-a subunit of the U2 small nuclear ribonucleoprotein6-is phosphorylated during spliceosome activation7-10, but the kinase that is responsible has not been identified. Here we show that cyclin-dependent kinase 11 (CDK11) associates with SF3B1 and phosphorylates threonine residues at its N terminus during spliceosome activation. The phosphorylation is important for the association between SF3B1 and U5 and U6 snRNAs in the activated spliceosome, termed the Bact complex, and the phosphorylation can be blocked by OTS964, a potent and selective inhibitor of CDK11. Inhibition of CDK11 prevents spliceosomal transition from the precatalytic complex B to the activated complex Bact and leads to widespread intron retention and accumulation of non-functional spliceosomes on pre-mRNAs and chromatin. We demonstrate a central role of CDK11 in spliceosome assembly and splicing regulation and characterize OTS964 as a highly selective CDK11 inhibitor that suppresses spliceosome activation and splicing.
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Affiliation(s)
- Milan Hluchý
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Pavla Gajdušková
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Igor Ruiz de Los Mozos
- The Francis Crick Institute, London, UK
- Department of Personalized Medicine, NASERTIC, Government of Navarra, Pamplona, Spain
- Center for Applied Medical Research, University of Navarra, Pamplona, Spain
| | - Michal Rájecký
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Michael Kluge
- Institut für Informatik, Ludwig-Maximilians-Universität München, München, Germany
| | - Benedict-Tilman Berger
- Structural Genomics Consortium (SGC), Buchmann Institute for Life Sciences (BMLS), Goethe University Frankfurt am Main, Frankfurt am Main, Germany
- Institut für Pharmazeutische Chemie, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Zuzana Slabá
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - David Potěšil
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Elena Weiß
- Institut für Informatik, Ludwig-Maximilians-Universität München, München, Germany
| | - Jernej Ule
- The Francis Crick Institute, London, UK
- UK Dementia Research Institute, King's College London, London, UK
| | - Zbyněk Zdráhal
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic
| | - Stefan Knapp
- Structural Genomics Consortium (SGC), Buchmann Institute for Life Sciences (BMLS), Goethe University Frankfurt am Main, Frankfurt am Main, Germany
- Institut für Pharmazeutische Chemie, Goethe University Frankfurt am Main, Frankfurt am Main, Germany
| | - Kamil Paruch
- Department of Chemistry, Faculty of Science, Masaryk University, Brno, Czech Republic
- International Clinical Research Center, St Anne's University Hospital in Brno, Brno, Czech Republic
| | - Caroline C Friedel
- Institut für Informatik, Ludwig-Maximilians-Universität München, München, Germany
| | - Dalibor Blazek
- Central European Institute of Technology (CEITEC), Masaryk University, Brno, Czech Republic.
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8
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Vydra N, Janus P, Kuś P, Stokowy T, Mrowiec K, Toma-Jonik A, Krzywon A, Cortez AJ, Wojtaś B, Gielniewski B, Jaksik R, Kimmel M, Widlak W. Heat Shock Factor 1 (HSF1) cooperates with estrogen receptor α (ERα) in the regulation of estrogen action in breast cancer cells. eLife 2021; 10:69843. [PMID: 34783649 PMCID: PMC8709578 DOI: 10.7554/elife.69843] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 11/15/2021] [Indexed: 11/29/2022] Open
Abstract
Heat shock factor 1 (HSF1), a key regulator of transcriptional responses to proteotoxic stress, was linked to estrogen (E2) signaling through estrogen receptor α (ERα). We found that an HSF1 deficiency may decrease ERα level, attenuate the mitogenic action of E2, counteract E2-stimulated cell scattering, and reduce adhesion to collagens and cell motility in ER-positive breast cancer cells. The stimulatory effect of E2 on the transcriptome is largely weaker in HSF1-deficient cells, in part due to the higher basal expression of E2-dependent genes, which correlates with the enhanced binding of unliganded ERα to chromatin in such cells. HSF1 and ERα can cooperate directly in E2-stimulated regulation of transcription, and HSF1 potentiates the action of ERα through a mechanism involving chromatin reorganization. Furthermore, HSF1 deficiency may increase the sensitivity to hormonal therapy (4-hydroxytamoxifen) or CDK4/6 inhibitors (palbociclib). Analyses of data from The Cancer Genome Atlas database indicate that HSF1 increases the transcriptome disparity in ER-positive breast cancer and can enhance the genomic action of ERα. Moreover, only in ER-positive cancers an elevated HSF1 level is associated with metastatic disease. About 70% of breast cancers rely on supplies of a hormone called estrogen – which is the main hormone responsible for female physical characteristics – to grow. Breast cancer cells that are sensitive to estrogen possess proteins known as estrogen receptors and are classified as estrogen-receptor positive. When estrogen interacts with its receptor in a cancer cell, it stimulates the cell to grow and migrate to other parts of the body. Therefore, therapies that decrease the amount of estrogen the body produces, or inhibit the receptor itself, are widely used to treat patients with estrogen receptor-positive breast cancers. When estrogen interacts with an estrogen receptor known as ERα it can also activate a protein called HSF1, which helps cells to survive under stress. In turn, HSF1 regulates several other proteins that are necessary for ERα and other estrogen receptors to work properly. Previous studies have suggested that high levels of HSF1 may worsen the outcomes for patients with estrogen receptor-positive breast cancers, but it remains unclear how HSF1 acts in breast cancer cells. Vydra, Janus, Kuś et al. used genetics and bioinformatics approaches to study HSF1 in human breast cancer cells. The experiments revealed that breast cancer cells with lower levels of HSF1 also had lower levels of ERα and responded less well to estrogen than cells with higher levels of HSF1. Further experiments suggested that in the absence of estrogen, HSF1 helps to keep ERα inactive. However, when estrogen is present, HSF1 cooperates with ERα and enhances its activity to help cells grow and migrate. Vydra, Janus, Kuś et al. also found that cells with higher levels of HSF1 were less sensitive to two drug therapies that are commonly used to treat estrogen receptor-positive breast cancers. These findings reveal that the effect HSF1 has on ERα activity depends on the presence of estrogen. Therefore, cancer therapies that decrease the amount of estrogen a patient produces may have a different effect on estrogen receptor-positive tumors with high HSF1 levels than tumors with low HSF1 levels.
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Affiliation(s)
- Natalia Vydra
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Patryk Janus
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Paweł Kuś
- Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland
| | - Tomasz Stokowy
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Katarzyna Mrowiec
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Agnieszka Toma-Jonik
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Aleksandra Krzywon
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Alexander Jorge Cortez
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - Bartosz Wojtaś
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Bartłomiej Gielniewski
- Laboratory of Molecular Neurobiology, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
| | - Roman Jaksik
- Department of Systems Biology and Engineering, Silesian University of Technology, Gliwice, Poland
| | - Marek Kimmel
- Department of Statistics, Rice University, Houston, United States
| | - Wieslawa Widlak
- Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, Gliwice, Poland
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9
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Huang JH, Liao YR, Lin TC, Tsai CH, Lai WY, Chou YK, Leu JY, Tsai HK, Kao CF. iTARGEX analysis of yeast deletome reveals novel regulators of transcriptional buffering in S phase and protein turnover. Nucleic Acids Res 2021; 49:7318-7329. [PMID: 34197604 PMCID: PMC8287957 DOI: 10.1093/nar/gkab555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 05/12/2021] [Accepted: 06/29/2021] [Indexed: 11/24/2022] Open
Abstract
Integrating omics data with quantification of biological traits provides unparalleled opportunities for discovery of genetic regulators by in silico inference. However, current approaches to analyze genetic-perturbation screens are limited by their reliance on annotation libraries for prioritization of hits and subsequent targeted experimentation. Here, we present iTARGEX (identification of Trait-Associated Regulatory Genes via mixture regression using EXpectation maximization), an association framework with no requirement of a priori knowledge of gene function. After creating this tool, we used it to test associations between gene expression profiles and two biological traits in single-gene deletion budding yeast mutants, including transcription homeostasis during S phase and global protein turnover. For each trait, we discovered novel regulators without prior functional annotations. The functional effects of the novel candidates were then validated experimentally, providing solid evidence for their roles in the respective traits. Hence, we conclude that iTARGEX can reliably identify novel factors involved in given biological traits. As such, it is capable of converting genome-wide observations into causal gene function predictions. Further application of iTARGEX in other contexts is expected to facilitate the discovery of new regulators and provide observations for novel mechanistic hypotheses regarding different biological traits and phenotypes.
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Affiliation(s)
- Jia-Hsin Huang
- Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
| | - You-Rou Liao
- Institute of Cellular and Organismic Biology, Academia Sinica, Taipei 115, Taiwan
| | - Tzu-Chieh Lin
- Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
| | - Cheng-Hung Tsai
- Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
| | - Wei-Yun Lai
- Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
| | - Yang-Kai Chou
- Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
| | - Jun-Yi Leu
- Institute of Molecular Biology, Academia Sinica, Taipei 115, Taiwan
| | - Huai-Kuang Tsai
- Institute of Information Science, Academia Sinica, Taipei 115, Taiwan
| | - Cheng-Fu Kao
- Institute of Cellular and Organismic Biology, Academia Sinica, Taipei 115, Taiwan
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10
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Flynn RA, Pedram K, Malaker SA, Batista PJ, Smith BAH, Johnson AG, George BM, Majzoub K, Villalta PW, Carette JE, Bertozzi CR. Small RNAs are modified with N-glycans and displayed on the surface of living cells. Cell 2021; 184:3109-3124.e22. [PMID: 34004145 DOI: 10.1016/j.cell.2021.04.023] [Citation(s) in RCA: 222] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/18/2020] [Accepted: 04/14/2021] [Indexed: 12/20/2022]
Abstract
Glycans modify lipids and proteins to mediate inter- and intramolecular interactions across all domains of life. RNA is not thought to be a major target of glycosylation. Here, we challenge this view with evidence that mammals use RNA as a third scaffold for glycosylation. Using a battery of chemical and biochemical approaches, we found that conserved small noncoding RNAs bear sialylated glycans. These "glycoRNAs" were present in multiple cell types and mammalian species, in cultured cells, and in vivo. GlycoRNA assembly depends on canonical N-glycan biosynthetic machinery and results in structures enriched in sialic acid and fucose. Analysis of living cells revealed that the majority of glycoRNAs were present on the cell surface and can interact with anti-dsRNA antibodies and members of the Siglec receptor family. Collectively, these findings suggest the existence of a direct interface between RNA biology and glycobiology, and an expanded role for RNA in extracellular biology.
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Affiliation(s)
- Ryan A Flynn
- Department of Chemistry, Stanford University, Stanford, CA, USA.
| | - Kayvon Pedram
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Stacy A Malaker
- Department of Chemistry, Stanford University, Stanford, CA, USA
| | - Pedro J Batista
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Benjamin A H Smith
- Department of Chemical and Systems Biology and ChEM-H, Stanford University, Stanford, CA, USA
| | - Alex G Johnson
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA, USA
| | - Benson M George
- Department of Cancer Biology, Stanford University, Stanford, CA, USA
| | - Karim Majzoub
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA; IGMM, CNRS, University of Montpellier, Montpellier, France
| | - Peter W Villalta
- Masonic Cancer Center and Department of Medicinal Chemistry, University of Minnesota, Minneapolis, MN, USA
| | - Jan E Carette
- Department of Microbiology and Immunology, Stanford University, Stanford, CA, USA
| | - Carolyn R Bertozzi
- Department of Chemistry, Stanford University, Stanford, CA, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA, USA.
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11
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Singha M, Spitalny L, Nguyen K, Vandewalle A, Spitale RC. Chemical methods for measuring RNA expression with metabolic labeling. WILEY INTERDISCIPLINARY REVIEWS-RNA 2021; 12:e1650. [PMID: 33738981 DOI: 10.1002/wrna.1650] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/25/2021] [Accepted: 02/25/2021] [Indexed: 12/27/2022]
Abstract
Tracking the expression of RNA in a cell-specific manner is a major challenge in basic and disease research. Herein we outline the current state of employing chemical approaches for cell-specific RNA expression studies. We define the utility of metabolic labels for tracking RNA synthesis, the approaches for characterizing metabolic incorporation and enrichment of labeled RNAs, and finally outline how these approaches have been used to study biological systems by providing mechanistic insights into transcriptional dynamics. Further efforts on this front will be the continued development of novel chemical handles for RNA enrichment and profiling as well as innovative approaches to control cell-specific incorporation of chemically modified metabolic probes. These advancements in RNA metabolic labeling techniques permit sensitive detection of RNA expression dynamics within relatively small subsets of cells in living tissues and organisms that are critical to performing complex developmental and pathological processes. This article is categorized under: RNA Methods > RNA Analyses in Cells RNA Evolution and Genomics > Ribonomics RNA Structure and Dynamics > RNA Structure, Dynamics and Chemistry.
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Affiliation(s)
- Monika Singha
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, California, USA
| | - Leslie Spitalny
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, California, USA
| | - Kim Nguyen
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, California, USA
| | - Abigail Vandewalle
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, California, USA
| | - Robert C Spitale
- Department of Pharmaceutical Sciences, University of California, Irvine, Irvine, California, USA.,Department of Developmental and Cellular Biology, University of California, Irvine, Irvine, California, USA.,Department of Chemistry, University of California, Irvine, Irvine, California, USA
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12
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Downes DJ, Beagrie RA, Gosden ME, Telenius J, Carpenter SJ, Nussbaum L, De Ornellas S, Sergeant M, Eijsbouts CQ, Schwessinger R, Kerry J, Roberts N, Shivalingam A, El-Sagheer A, Oudelaar AM, Brown T, Buckle VJ, Davies JOJ, Hughes JR. High-resolution targeted 3C interrogation of cis-regulatory element organization at genome-wide scale. Nat Commun 2021; 12:531. [PMID: 33483495 PMCID: PMC7822813 DOI: 10.1038/s41467-020-20809-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 12/16/2020] [Indexed: 01/30/2023] Open
Abstract
Chromosome conformation capture (3C) provides an adaptable tool for studying diverse biological questions. Current 3C methods generally provide either low-resolution interaction profiles across the entire genome, or high-resolution interaction profiles at limited numbers of loci. Due to technical limitations, generation of reproducible high-resolution interaction profiles has not been achieved at genome-wide scale. Here, to overcome this barrier, we systematically test each step of 3C and report two improvements over current methods. We show that up to 30% of reporter events generated using the popular in situ 3C method arise from ligations between two individual nuclei, but this noise can be almost entirely eliminated by isolating intact nuclei after ligation. Using Nuclear-Titrated Capture-C, we generate reproducible high-resolution genome-wide 3C interaction profiles by targeting 8055 gene promoters in erythroid cells. By pairing high-resolution 3C interaction calls with nascent gene expression we interrogate the role of promoter hubs and super-enhancers in gene regulation.
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Affiliation(s)
- Damien J Downes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Robert A Beagrie
- MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Matthew E Gosden
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jelena Telenius
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Stephanie J Carpenter
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Lea Nussbaum
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Sara De Ornellas
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Martin Sergeant
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Chris Q Eijsbouts
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Ron Schwessinger
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jon Kerry
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Nigel Roberts
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Arun Shivalingam
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Afaf El-Sagheer
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - A Marieke Oudelaar
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Tom Brown
- Chemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK
| | - Veronica J Buckle
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - James O J Davies
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK
| | - Jim R Hughes
- MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
- MRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
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13
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Reimer K, Neugebauer K. Preparation of Mammalian Nascent RNA for Long Read Sequencing. CURRENT PROTOCOLS IN MOLECULAR BIOLOGY 2020; 133:e128. [PMID: 33085989 PMCID: PMC7586757 DOI: 10.1002/cpmb.128] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Long read sequencing technologies now allow high-quality sequencing of RNAs (or their cDNAs) that are hundreds to thousands of nucleotides long. Long read sequences of nascent RNA provide single-nucleotide-resolution information about co-transcriptional RNA processing events-e.g., splicing, folding, and base modifications. Here, we describe how to isolate nascent RNA from mammalian cells through subcellular fractionation of chromatin-associated RNA, as well as how to deplete poly(A)+ RNA and rRNA, and, finally, how to generate a full-length cDNA library for use on long read sequencing platforms. This approach allows for an understanding of coordinated splicing status across multi-intron transcripts by revealing patterns of splicing or other RNA processing events that cannot be gained from traditional short read RNA sequencing. © 2020 Wiley Periodicals LLC. Basic Protocol 1: Subcellular fractionation Basic Protocol 2: Nascent RNA isolation and adapter ligation Basic Protocol 3: cDNA amplicon preparation.
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Affiliation(s)
- Kirsten Reimer
- Department of Molecular Biophysics and Biochemistry, Yale University, 333 Cedar Street, New Haven CT, 06520, 203-785-2358
| | - Karla Neugebauer
- Department of Molecular Biophysics and Biochemistry, Yale University, 333 Cedar Street, New Haven CT, 06520, 203-785-2358
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14
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Gregersen LH, Mitter R, Svejstrup JQ. Using TT chem-seq for profiling nascent transcription and measuring transcript elongation. Nat Protoc 2020; 15:604-627. [PMID: 31915390 DOI: 10.1038/s41596-019-0262-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2019] [Accepted: 10/29/2019] [Indexed: 01/08/2023]
Abstract
The dynamics of transcription can be studied genome wide by high-throughput sequencing of nascent and newly synthesized RNA. 4-thiouridine (4SU) labeling in vivo enables the specific capture of such new transcripts, with 4SU residues being tagged by biotin linkers and captured using streptavidin beads before library production and high-throughput sequencing. To achieve high-resolution profiles of transcribed regions, an RNA fragmentation step before biotin tagging was introduced, in an approach known as transient transcriptome sequencing (TT-seq). We recently introduced a chemical approach for RNA fragmentation that we refer to as TTchem-seq. We describe how TTchem-seq can be used in combination with transient inhibition of early elongation using the reversible CDK9 inhibitor, 5,6-dichlorobenzimidazole 1-β-D-ribofuranoside (DRB), to measure RNA polymerase II (RNAPII) elongation rates in vivo, a technique we call DRB/TTchem-seq. Here, we provide detailed protocols for carrying out TTchem-seq and DRB/TTchem-seq, including computational analysis. Experiments and data analysis can be performed over a period of 10-13 d and require molecular biology and bioinformatics skills.
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Affiliation(s)
- Lea H Gregersen
- Mechanisms of Transcription Laboratory, The Francis Crick Institute, London, UK
| | - Richard Mitter
- Bioinformatics and Biostatistics, The Francis Crick Institute, London, UK
| | - Jesper Q Svejstrup
- Mechanisms of Transcription Laboratory, The Francis Crick Institute, London, UK.
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15
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Donczew R, Warfield L, Pacheco D, Erijman A, Hahn S. Two roles for the yeast transcription coactivator SAGA and a set of genes redundantly regulated by TFIID and SAGA. eLife 2020; 9:e50109. [PMID: 31913117 PMCID: PMC6977968 DOI: 10.7554/elife.50109] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 01/07/2020] [Indexed: 12/31/2022] Open
Abstract
Deletions within genes coding for subunits of the transcription coactivator SAGA caused strong genome-wide defects in transcription and SAGA-mediated chromatin modifications. In contrast, rapid SAGA depletion produced only modest transcription defects at 13% of protein-coding genes - genes that are generally more sensitive to rapid TFIID depletion. However, transcription of these 'coactivator-redundant' genes is strongly affected by rapid depletion of both factors, showing the overlapping functions of TFIID and SAGA at this gene set. We suggest that this overlapping function is linked to TBP-DNA recruitment. The remaining 87% of expressed genes that we term 'TFIID-dependent' are highly sensitive to rapid TFIID depletion and insensitive to rapid SAGA depletion. Genome-wide mapping of SAGA and TFIID found binding of both factors at many genes independent of gene class. Promoter analysis suggests that the distinction between the gene classes is due to multiple components rather than any single regulatory factor or promoter sequence motif.
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Affiliation(s)
- Rafal Donczew
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Linda Warfield
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Derek Pacheco
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Ariel Erijman
- Fred Hutchinson Cancer Research CenterSeattleUnited States
| | - Steven Hahn
- Fred Hutchinson Cancer Research CenterSeattleUnited States
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16
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Xu S, Ci Y, Wang L, Yang Y, Zhang L, Xu C, Qin C, Shi L. Zika virus NS3 is a canonical RNA helicase stimulated by NS5 RNA polymerase. Nucleic Acids Res 2019; 47:8693-8707. [PMID: 31361901 PMCID: PMC6895266 DOI: 10.1093/nar/gkz650] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Revised: 07/10/2019] [Accepted: 07/16/2019] [Indexed: 01/19/2023] Open
Abstract
Zika virus is a positive single-strand RNA virus whose replication involved RNA unwinding and synthesis. ZIKV NS3 contains a helicase domain, but its enzymatic activity is not fully characterized. Here, we established a dsRNA unwinding assay based on the FRET effect to study the helicase activity of ZIKV NS3, which provided kinetic information in real time. We found that ZIKV NS3 specifically unwound dsRNA/dsDNA with a 3' overhang in the 3' to 5' direction. The RNA unwinding ability of NS3 significantly decreased when the duplex was longer than 18 base pairs. The helicase activity of NS3 depends on ATP hydrolysis and binding to RNA. Mutations in the ATP binding region or the RNA binding region of NS3 impair its helicase activity, thus blocking viral replication in the cell. Furthermore, we showed that ZIKV NS5 interacted with NS3 and stimulated its helicase activity. Disrupting NS3-NS5 interaction resulted in a defect in viral replication, revealing the tight coupling of RNA unwinding and synthesis. We suggest that NS3 helicase activity is stimulated by NS5; thus, viral replication can be carried out efficiently. Our work provides a molecular mechanism of ZIKV NS3 unwinding and novel insights into ZIKV replication.
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MESH Headings
- Adenosine Triphosphate/chemistry
- Adenosine Triphosphate/metabolism
- Animals
- Binding Sites
- Chlorocebus aethiops
- Cloning, Molecular
- Cricetulus
- Epithelial Cells/virology
- Escherichia coli/genetics
- Escherichia coli/metabolism
- Gene Expression
- Gene Expression Regulation, Viral
- Genetic Vectors/chemistry
- Genetic Vectors/metabolism
- Kinetics
- Models, Molecular
- Protein Binding
- Protein Conformation, alpha-Helical
- Protein Conformation, beta-Strand
- Protein Interaction Domains and Motifs
- Protein Structure, Tertiary
- RNA Helicases/chemistry
- RNA Helicases/genetics
- RNA Helicases/metabolism
- RNA, Double-Stranded/chemistry
- RNA, Double-Stranded/genetics
- RNA, Double-Stranded/metabolism
- RNA, Viral/chemistry
- RNA, Viral/genetics
- RNA, Viral/metabolism
- Recombinant Proteins/chemistry
- Recombinant Proteins/genetics
- Recombinant Proteins/metabolism
- Serine Endopeptidases/chemistry
- Serine Endopeptidases/genetics
- Serine Endopeptidases/metabolism
- Substrate Specificity
- Vero Cells
- Viral Nonstructural Proteins/chemistry
- Viral Nonstructural Proteins/genetics
- Viral Nonstructural Proteins/metabolism
- Zika Virus/genetics
- Zika Virus/metabolism
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Affiliation(s)
- Shan Xu
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Yali Ci
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Leijie Wang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Yang Yang
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Leiliang Zhang
- Institute of Pathogen Biology, Chinese Academy of Medical Sciences, Beijing, China
| | - Caimin Xu
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
| | - Chengfeng Qin
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Lei Shi
- State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
- Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing 100005, China
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17
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Kaczmarczyk L, Bansal V, Rajput A, Rahman RU, Krzyżak W, Degen J, Poll S, Fuhrmann M, Bonn S, Jackson WS. Tagger-A Swiss army knife for multiomics to dissect cell type-specific mechanisms of gene expression in mice. PLoS Biol 2019; 17:e3000374. [PMID: 31393866 PMCID: PMC6701817 DOI: 10.1371/journal.pbio.3000374] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2019] [Revised: 08/20/2019] [Accepted: 07/17/2019] [Indexed: 12/22/2022] Open
Abstract
A deep understanding of how regulation of the multiple levels of gene expression in mammalian tissues give rise to complex phenotypes has been impeded by cellular diversity. A handful of techniques were developed to tag-select nucleic acids of interest in specific cell types, thereby enabling their capture. We expanded this strategy by developing the Tagger knock-in mouse line bearing a quad-cistronic transgene combining enrichment tools for nuclei, nascent RNA, translating mRNA, and mature microRNA (miRNA). We demonstrate that Tagger can capture the desired nucleic acids, enabling multiple omics approaches to be applied to specific cell types in vivo using a single transgenic mouse line. This Methods and Resources paper describes Tagger, a knock-in mouse line bearing a quad-cistronic transgene that enables the capture of translating mRNAs, mature miRNAs, pulse-labeled total RNA, and the nucleus, all from specific cells of complex tissues.
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Affiliation(s)
- Lech Kaczmarczyk
- Wallenberg Center for Molecular Medicine, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | - Vikas Bansal
- Institute for Medical Systems Biology, Center for Molecular Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ashish Rajput
- Institute for Medical Systems Biology, Center for Molecular Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Raza-ur Rahman
- Institute for Medical Systems Biology, Center for Molecular Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Wiesław Krzyżak
- Life & Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Joachim Degen
- Life & Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Stefanie Poll
- German Center for Neurodegenerative Diseases, Bonn, Germany
| | | | - Stefan Bonn
- Institute for Medical Systems Biology, Center for Molecular Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- German Center for Neurodegenerative Diseases, Tübingen, Germany
- * E-mail: (SB); (WSJ)
| | - Walker Scot Jackson
- Wallenberg Center for Molecular Medicine, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- German Center for Neurodegenerative Diseases, Bonn, Germany
- * E-mail: (SB); (WSJ)
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18
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Muthmann N, Hartstock K, Rentmeister A. Chemo-enzymatic treatment of RNA to facilitate analyses. WILEY INTERDISCIPLINARY REVIEWS-RNA 2019; 11:e1561. [PMID: 31392842 DOI: 10.1002/wrna.1561] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 06/17/2019] [Accepted: 07/04/2019] [Indexed: 12/11/2022]
Abstract
Labeling RNA is a recurring problem to make RNA compatible with state-of-the-art methodology and comes in many flavors. Considering only cellular applications, the spectrum still ranges from site-specific labeling of individual transcripts, for example, for live-cell imaging of mRNA trafficking, to metabolic labeling in combination with next generation sequencing to capture dynamic aspects of RNA metabolism on a transcriptome-wide scale. Combining the specificity of RNA-modifying enzymes with non-natural substrates has emerged as a valuable strategy to modify RNA site- or sequence-specifically with functional groups suitable for subsequent bioorthogonal reactions and thus label RNA with reporter moieties such as affinity or fluorescent tags. In this review article, we will cover chemo-enzymatic approaches (a) for in vitro labeling of RNA for application in cells, (b) for treatment of total RNA, and (c) for metabolic labeling of RNA. This article is categorized under: RNA Processing < RNA Editing and Modification RNA Methods < RNA Analyses in vitro and In Silico RNA Methods < RNA Analyses in Cells.
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Affiliation(s)
- Nils Muthmann
- Institute of Biochemistry, Westfälische Wilhelms-Universität Münster, Münster, Germany
| | - Katja Hartstock
- Institute of Biochemistry, Westfälische Wilhelms-Universität Münster, Münster, Germany
| | - Andrea Rentmeister
- Institute of Biochemistry, Westfälische Wilhelms-Universität Münster, Münster, Germany
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19
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Global analysis of RNA metabolism using bio-orthogonal labeling coupled with next-generation RNA sequencing. Methods 2018; 155:88-103. [PMID: 30529548 DOI: 10.1016/j.ymeth.2018.12.001] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Revised: 11/30/2018] [Accepted: 12/03/2018] [Indexed: 11/21/2022] Open
Abstract
Many open questions in RNA biology relate to the kinetics of gene expression and the impact of RNA binding regulatory factors on processing or decay rates of particular transcripts. Steady state measurements of RNA abundance obtained from RNA-seq approaches are not able to separate the effects of transcription from those of RNA decay in the overall abundance of any given transcript, instead only giving information on the (presumed steady-state) abundances of transcripts. Through the combination of metabolic labeling and high-throughput sequencing, several groups have been able to measure both transcription rates and decay rates of the entire transcriptome of an organism in a single experiment. This review focuses on the methodology used to specifically measure RNA decay at a global level. By comparing and contrasting approaches and describing the experimental protocols in a modular manner, we intend to provide both experienced and new researchers to the field the ability to combine aspects of various protocols to fit the unique needs of biological questions not addressed by current methods.
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20
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Duffy EE, Schofield JA, Simon MD. Gaining insight into transcriptome-wide RNA population dynamics through the chemistry of 4-thiouridine. WILEY INTERDISCIPLINARY REVIEWS-RNA 2018; 10:e1513. [PMID: 30370679 DOI: 10.1002/wrna.1513] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/26/2018] [Accepted: 09/27/2018] [Indexed: 12/11/2022]
Abstract
Cellular RNA levels are the result of a juggling act between RNA transcription, processing, and degradation. By tuning one or more of these parameters, cells can rapidly alter the available pool of transcripts in response to stimuli. While RNA sequencing (RNA-seq) is a vital method to quantify RNA levels genome-wide, it is unable to capture the dynamics of different RNA populations at steady-state or distinguish between different mechanisms that induce changes to the steady-state (i.e., altered rate of transcription vs. degradation). The dynamics of different RNA populations can be studied by targeted incorporation of noncanonical nucleosides. 4-Thiouridine (s4 U) is a commonly used and versatile RNA metabolic label that allows the study of many properties of RNA metabolism from synthesis to degradation. Numerous experimental strategies have been developed that leverage the power of s4 U to label newly transcribed RNA in whole cells, followed by enrichment with activated disulfides or chemistry to induce C mutations at sites of s4 U during sequencing. This review presents existing methods to study RNA population dynamics genome-wide using s4 U metabolic labeling, as well as a discussion of considerations and challenges when designing s4 U metabolic labeling experiments. This article is categorized under: RNA Methods > RNA Analyses in Cells RNA Turnover and Surveillance > Regulation of RNA Stability.
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Affiliation(s)
- Erin E Duffy
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut.,Chemical Biology Institute, Yale University, West Haven, Connecticut
| | - Jeremy A Schofield
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut.,Chemical Biology Institute, Yale University, West Haven, Connecticut
| | - Matthew D Simon
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut.,Chemical Biology Institute, Yale University, West Haven, Connecticut
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21
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Duffy EE, Canzio D, Maniatis T, Simon MD. Solid phase chemistry to covalently and reversibly capture thiolated RNA. Nucleic Acids Res 2018; 46:6996-7005. [PMID: 29986098 PMCID: PMC6101502 DOI: 10.1093/nar/gky556] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Revised: 06/04/2018] [Accepted: 06/14/2018] [Indexed: 12/26/2022] Open
Abstract
Here, we describe an approach to enrich newly transcribed RNAs from primary mouse neurons using 4-thiouridine (s4U) metabolic labeling and solid phase chemistry. This one-step enrichment procedure captures s4U-RNA by using highly efficient methane thiosulfonate (MTS) chemistry in an immobilized format. Like solution-based methods, this solid-phase enrichment can distinguish mature RNAs (mRNA) with differential stability, and can be used to reveal transient RNAs such as enhancer RNAs (eRNAs) and primary microRNAs (pri-miRNAs) from short metabolic labeling. Most importantly, the efficiency of this solid-phase chemistry made possible the first large scale measurements of RNA polymerase II (RNAPII) elongation rates in mouse cortical neurons. Thus, our approach provides the means to study regulation of RNA metabolism in specific tissue contexts as a means to better understand gene expression in vivo.
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Affiliation(s)
- Erin E Duffy
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06511, USA
- Chemical Biology Institute, Yale University, West Haven, CT 06516, USA
| | - Daniele Canzio
- Department of Biochemistry and Molecular Biophysics, Columbia University Medical Center, New York, NY 10032, USA
| | - Tom Maniatis
- Department of Biochemistry and Molecular Biophysics, Columbia University Medical Center, New York, NY 10032, USA
| | - Matthew D Simon
- Department of Molecular Biophysics & Biochemistry, Yale University, New Haven, CT 06511, USA
- Chemical Biology Institute, Yale University, West Haven, CT 06516, USA
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22
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Wyler E, Menegatti J, Franke V, Kocks C, Boltengagen A, Hennig T, Theil K, Rutkowski A, Ferrai C, Baer L, Kermas L, Friedel C, Rajewsky N, Akalin A, Dölken L, Grässer F, Landthaler M. Widespread activation of antisense transcription of the host genome during herpes simplex virus 1 infection. Genome Biol 2017; 18:209. [PMID: 29089033 PMCID: PMC5663069 DOI: 10.1186/s13059-017-1329-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Accepted: 09/29/2017] [Indexed: 12/19/2022] Open
Abstract
Background Herpesviruses can infect a wide range of animal species. Herpes simplex virus 1 (HSV-1) is one of the eight herpesviruses that can infect humans and is prevalent worldwide. Herpesviruses have evolved multiple ways to adapt the infected cells to their needs, but knowledge about these transcriptional and post-transcriptional modifications is sparse. Results Here, we show that HSV-1 induces the expression of about 1000 antisense transcripts from the human host cell genome. A subset of these is also activated by the closely related varicella zoster virus. Antisense transcripts originate either at gene promoters or within the gene body, and they show different susceptibility to the inhibition of early and immediate early viral gene expression. Overexpression of the major viral transcription factor ICP4 is sufficient to turn on a subset of antisense transcripts. Histone marks around transcription start sites of HSV-1-induced and constitutively transcribed antisense transcripts are highly similar, indicating that the genetic loci are already poised to transcribe these novel RNAs. Furthermore, an antisense transcript overlapping with the BBC3 gene (also known as PUMA) transcriptionally silences this potent inducer of apoptosis in cis. Conclusions We show for the first time that a virus induces widespread antisense transcription of the host cell genome. We provide evidence that HSV-1 uses this to downregulate a strong inducer of apoptosis. Our findings open new perspectives on global and specific alterations of host cell transcription by viruses. Electronic supplementary material The online version of this article (doi:10.1186/s13059-017-1329-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Emanuel Wyler
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Jennifer Menegatti
- Institute of Virology, Saarland University Medical School, Kirrbergerstrasse, Haus 47, 66421, Homburg/Saar, Germany
| | - Vedran Franke
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Christine Kocks
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Anastasiya Boltengagen
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Thomas Hennig
- Institut für Virologie und Immunbiologie, Julius-Maximilians-Universität Würzburg, Versbacherstr. 7, 97078, Würzburg, Germany
| | - Kathrin Theil
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Andrzej Rutkowski
- Department of Medicine, University of Cambridge, Addenbrookes Hospital, Box 157, Hills Rd, Cambridge, CB2 0QQ, UK.,Present address: AstraZeneca, Darwin Building, 310 Cambridge Science Park, Cambridge, CB4 0WG, UK
| | - Carmelo Ferrai
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Laura Baer
- Institute of Virology, Saarland University Medical School, Kirrbergerstrasse, Haus 47, 66421, Homburg/Saar, Germany
| | - Lisa Kermas
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Caroline Friedel
- Institut für Informatik, Ludwig-Maximilians-Universität München, Amalienstraße 17, 80333, München, Germany
| | - Nikolaus Rajewsky
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Altuna Akalin
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany
| | - Lars Dölken
- Institut für Virologie und Immunbiologie, Julius-Maximilians-Universität Würzburg, Versbacherstr. 7, 97078, Würzburg, Germany
| | - Friedrich Grässer
- Institute of Virology, Saarland University Medical School, Kirrbergerstrasse, Haus 47, 66421, Homburg/Saar, Germany.
| | - Markus Landthaler
- Berlin Institute for Medical Systems Biology, Max-Delbrück-Center for Molecular Medicine in the Helmholtz Association, Robert-Rössle-Strasse 10, 13125, Berlin, Germany. .,IRI Life Sciences, Institute für Biologie, Humboldt Universität zu Berlin, Philippstraße 13, 10115, Berlin, Germany.
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23
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Pitts JD, Li PC, de Wispelaere M, Yang PL. Antiviral activity of N-(4-hydroxyphenyl) retinamide (4-HPR) against Zika virus. Antiviral Res 2017; 147:124-130. [PMID: 29051080 DOI: 10.1016/j.antiviral.2017.10.014] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 10/13/2017] [Accepted: 10/14/2017] [Indexed: 01/25/2023]
Abstract
The rapid spread of Zika virus (ZIKV) in recent years has highlighted the severe diseases associated with ZIKV infection, such as Guillain-Barré syndrome in adults and microcephaly in newborns; yet no vaccines or antivirals currently exist to prevent or treat ZIKV infection. We and others have previously identified N-(4-hydroxyphenyl) retinamide (fenretinide or 4-HPR) as an antiviral compound that inhibits dengue virus 2 (DV2) and other flaviviruses by limiting the steady-state accumulation of viral RNA. Here we show that 4-HPR potently inhibits ZIKV in mammalian cell culture and significantly reduces both serum viremia and brain viral burden in a murine model of ZIKV infection. Consistent with previous observations with dengue virus, this antiviral activity is associated with a significant reduction in the steady-state abundance of viral genomic RNA. We show this reduction is due to a major decrease in the rate of viral RNA synthesis, though not via direct inhibition of the activity of the viral replicase. These results establish 4-HPR's mode of action against DV and ZIKV and, taken with previous clinical trials that established 4-HPR's safety and tolerability, illustrate the potential utility of 4-HPR as an agent for treatment of ZIKV infection.
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Affiliation(s)
- Jared D Pitts
- Department of Microbiology and Immunobiology, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Pi-Chun Li
- Department of Cancer Biology, Dana-Farber Cancer Institute, 360 Longwood Avenue, Boston, MA 02215, USA
| | - Melissanne de Wispelaere
- Department of Microbiology and Immunobiology, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
| | - Priscilla L Yang
- Department of Microbiology and Immunobiology, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA.
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24
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Warfield L, Ramachandran S, Baptista T, Devys D, Tora L, Hahn S. Transcription of Nearly All Yeast RNA Polymerase II-Transcribed Genes Is Dependent on Transcription Factor TFIID. Mol Cell 2017; 68:118-129.e5. [PMID: 28918900 DOI: 10.1016/j.molcel.2017.08.014] [Citation(s) in RCA: 113] [Impact Index Per Article: 16.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2017] [Revised: 06/28/2017] [Accepted: 08/18/2017] [Indexed: 11/17/2022]
Abstract
Previous studies suggested that expression of most yeast mRNAs is dominated by either transcription factor TFIID or SAGA. We re-examined the role of TFIID by rapid depletion of S. cerevisiae TFIID subunits and measurement of changes in nascent transcription. We find that transcription of nearly all mRNAs is strongly dependent on TFIID function. Degron-dependent depletion of Taf1, Taf2, Taf7, Taf11, and Taf13 showed similar transcription decreases for genes in the Taf1-depleted, Taf1-enriched, TATA-containing, and TATA-less gene classes. The magnitude of TFIID dependence varies with growth conditions, although this variation is similar genome-wide. Many studies have suggested differences in gene-regulatory mechanisms between TATA and TATA-less genes, and these differences have been attributed in part to differential dependence on SAGA or TFIID. Our work indicates that TFIID participates in expression of nearly all yeast mRNAs and that differences in regulation between these two gene categories is due to other properties.
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Affiliation(s)
- Linda Warfield
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
| | - Srinivas Ramachandran
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA; Howard Hughes Medical Institute, Seattle, WA 98109, USA
| | - Tiago Baptista
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France; UMR7104, Centre National de la Recherche Scientifique, 67404 Illkirch, France; U964, Institut National de la Santé et de la Recherche Médicale, 67404 Illkirch, France; Université de Strasbourg, 67404 Illkirch, Cedex, France
| | - Didier Devys
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France; UMR7104, Centre National de la Recherche Scientifique, 67404 Illkirch, France; U964, Institut National de la Santé et de la Recherche Médicale, 67404 Illkirch, France; Université de Strasbourg, 67404 Illkirch, Cedex, France
| | - Laszlo Tora
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, 67404 Illkirch, France; UMR7104, Centre National de la Recherche Scientifique, 67404 Illkirch, France; U964, Institut National de la Santé et de la Recherche Médicale, 67404 Illkirch, France; Université de Strasbourg, 67404 Illkirch, Cedex, France
| | - Steven Hahn
- Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA.
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25
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Li HB, Tong J, Zhu S, Batista PJ, Duffy EE, Zhao J, Bailis W, Cao G, Kroehling L, Chen Y, Wang G, Broughton JP, Chen YG, Kluger Y, Simon MD, Chang HY, Yin Z, Flavell RA. m 6A mRNA methylation controls T cell homeostasis by targeting the IL-7/STAT5/SOCS pathways. Nature 2017; 548:338-342. [PMID: 28792938 PMCID: PMC5729908 DOI: 10.1038/nature23450] [Citation(s) in RCA: 611] [Impact Index Per Article: 87.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 06/30/2017] [Indexed: 12/28/2022]
Abstract
N6 -methyladenosine (m6A) is the most common and abundant messenger RNA modification, modulated by ‘writers’, ‘erasers’ and ‘readers’ of this mark 1,2. In vitro data have shown that m6A influences all fundamental aspects of mRNA metabolism, mainly mRNA stability, to determine stem cell fates 3,4. However, its in vivo physiological function in mammals and adult mammalian cells is still unknown. Here we show that deletion of m6A ‘writer’ protein METTL3 in mouse T cells disrupts T cell homeostasis and differentiation. In a lymphopenic mouse adoptive transfer model, naive Mettl3 deficient T cells failed to undergo homeostatic expansion and remarkably remained in the naïve state up through 12 weeks, thereby preventing colitis. Consistent with these observations, the mRNAs of SOCS family genes encoding STAT- signaling inhibitory proteins, Socs1, Socs3 and Cish, were marked by m6A, exhibited slower mRNA decay and increased mRNAs and protein expression levels in Mettl3 deficient naïve T cells. This increased SOCS family activity consequently inhibited IL-7 mediated STAT5 activation and T cell homeostatic proliferation and differentiation. We also found that m6A plays important roles for inducible degradation of Socs mRNAs in response to IL-7 signaling in order to reprogram Naïve T cells for proliferation and differentiation. Our study elucidates for the first time the in vivo biological role of m6A modification in T cell mediated pathogenesis and reveals a novel mechanism of T cell homeostasis and signal-dependent induction of mRNA degradation.
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Affiliation(s)
- Hua-Bing Li
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - Jiyu Tong
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.,The First Affiliated Hospital, Biomedical Translational Research Institute and Guangdong Province Key Laboratory of Molecular Immunology and Antibody Engineering, Jinan University, Guangzhou 510632, China
| | - Shu Zhu
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - Pedro J Batista
- Center for Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
| | - Erin E Duffy
- Department of Molecular Biophysics &Biochemistry, Yale University, New Haven, Connecticut 06511, USA.,Chemical Biology Institute, Yale University, West Haven, Connecticut 06516, USA
| | - Jun Zhao
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.,Department of Pathology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - Will Bailis
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - Guangchao Cao
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.,The First Affiliated Hospital, Biomedical Translational Research Institute and Guangdong Province Key Laboratory of Molecular Immunology and Antibody Engineering, Jinan University, Guangzhou 510632, China
| | - Lina Kroehling
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - Yuanyuan Chen
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.,Institute of Surgical Research, Daping Hospital, the Third Military Medical University, Chongqing 400038, China
| | - Geng Wang
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - James P Broughton
- Center for Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
| | - Y Grace Chen
- Center for Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
| | - Yuval Kluger
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut 06520, USA
| | - Matthew D Simon
- Department of Molecular Biophysics &Biochemistry, Yale University, New Haven, Connecticut 06511, USA.,Chemical Biology Institute, Yale University, West Haven, Connecticut 06516, USA
| | - Howard Y Chang
- Center for Dynamic Regulomes, Stanford University, Stanford, California 94305, USA
| | - Zhinan Yin
- The First Affiliated Hospital, Biomedical Translational Research Institute and Guangdong Province Key Laboratory of Molecular Immunology and Antibody Engineering, Jinan University, Guangzhou 510632, China
| | - Richard A Flavell
- Department of Immunobiology, Yale University School of Medicine, New Haven, Connecticut 06520, USA.,Howard Hughes Medical Institute, Chevy Chase, Maryland 20815-6789, USA
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26
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Biegel JM, Henderson E, Cox EM, Bonenfant G, Netzband R, Kahn S, Eager R, Pager CT. Cellular DEAD-box RNA helicase DDX6 modulates interaction of miR-122 with the 5' untranslated region of hepatitis C virus RNA. Virology 2017; 507:231-241. [PMID: 28456022 DOI: 10.1016/j.virol.2017.04.014] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2016] [Revised: 04/13/2017] [Accepted: 04/14/2017] [Indexed: 02/07/2023]
Abstract
Hepatitis C virus (HCV) subverts the cellular DEAD-box RNA helicase DDX6 to promote virus infection. Using polysome gradient analysis and the subgenomic HCV Renilla reporter replicon genome, we determined that DDX6 does not affect HCV translation. Rather expression of the subgenomic HCV Renilla luciferase reporter at late times, as well as labeling of newly synthesized viral RNA with 4-thiouridine showed that DDX6 modulates replication. Because DDX6 is an effector protein of the microRNA pathway, we also investigated its role in miR-122-directed HCV gene expression. Similar to sequestering miR-122, depletion of DDX6 modulated HCV RNA stability. Interestingly, miR-122-HCV RNA interaction assays with mutant HCV genomes sites and compensatory exogenous miR-122 showed that DDX6 affects the function of miR-122 at one particular binding site. We propose that DDX6 facilitates the miR-122 interaction with HCV 5' UTR, which is necessary for stabilizing the viral genome and the switch between translation and replication.
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Affiliation(s)
- Jason M Biegel
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA
| | - Eric Henderson
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA
| | - Erica M Cox
- Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Gaston Bonenfant
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA
| | - Rachel Netzband
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA
| | - Samantha Kahn
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA
| | - Rachel Eager
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA
| | - Cara T Pager
- Department of Biological Sciences, The RNA Institute, University at Albany-SUNY, Albany, NY 12222, USA.
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27
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Metabolic labeling and recovery of nascent RNA to accurately quantify mRNA stability. Methods 2017; 120:39-48. [PMID: 28219744 DOI: 10.1016/j.ymeth.2017.02.003] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Revised: 02/10/2017] [Accepted: 02/14/2017] [Indexed: 12/26/2022] Open
Abstract
Changes in the rate of mRNA decay are closely coordinated with transcriptional changes and together these events have profound effects on gene expression during development and disease. Traditional approaches to assess mRNA decay have relied on inhibition of transcription, which can alter mRNA decay rates and confound interpretation. More recently, metabolic labeling combined with chemical modification and fractionation of labeled RNAs has allowed the isolation of nascent transcripts and the subsequent calculation of mRNA decay rates. This approach has been widely adopted for measuring mRNA half-lives on a global scale, but has proven challenging to use for analysis of single genes. We present a series of normalization and quality assurance steps to be used in combination with 4-thiouridine pulse labeling of cultured eukaryotic cells. Importantly, we demonstrate how the relative amount of 4sU-labeled nascent RNA influences accurate quantification. The approach described facilitates reproducible measurement of individual mRNA half-lives using 4-thiouridine and could be adapted for use with other nucleoside analogs.
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