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Müller JM, Moos K, Baar T, Maier KC, Zumer K, Tresch A. Nuclear export is a limiting factor in eukaryotic mRNA metabolism. PLoS Comput Biol 2024; 20:e1012059. [PMID: 38753883 DOI: 10.1371/journal.pcbi.1012059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 04/09/2024] [Indexed: 05/18/2024] Open
Abstract
The eukaryotic mRNA life cycle includes transcription, nuclear mRNA export and degradation. To quantify all these processes simultaneously, we perform thiol-linked alkylation after metabolic labeling of RNA with 4-thiouridine (4sU), followed by sequencing of RNA (SLAM-seq) in the nuclear and cytosolic compartments of human cancer cells. We develop a model that reliably quantifies mRNA-specific synthesis, nuclear export, and nuclear and cytosolic degradation rates on a genome-wide scale. We find that nuclear degradation of polyadenylated mRNA is negligible and nuclear mRNA export is slow, while cytosolic mRNA degradation is comparatively fast. Consequently, an mRNA molecule generally spends most of its life in the nucleus. We also observe large differences in the nuclear export rates of different 3'UTR transcript isoforms. Furthermore, we identify genes whose expression is abruptly induced upon metabolic labeling. These transcripts are exported substantially faster than average mRNAs, suggesting the existence of alternative export pathways. Our results highlight nuclear mRNA export as a limiting factor in mRNA metabolism and gene regulation.
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Affiliation(s)
- Jason M Müller
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Katharina Moos
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
- Institute of Medical Bioinformatics and Systems Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Till Baar
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Kerstin C Maier
- Department of Molecular Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Kristina Zumer
- Department of Molecular Biology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Achim Tresch
- Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Institute of Medical Statistics and Computational Biology, Faculty of Medicine, University of Cologne, Cologne, Germany
- Center for Data and Simulation Science, University of Cologne, Cologne, Germany
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2
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Schreyer L, Mittermeier C, Franz MJ, Meier MA, Martin DE, Maier KC, Huebner K, Schneider-Stock R, Singer S, Holzer K, Fischer D, Ribback S, Liebl B, Gudermann T, Aigner A, Muehlich S. Tetraspanin 5 (TSPAN5), a Novel Gatekeeper of the Tumor Suppressor DLC1 and Myocardin-Related Transcription Factors (MRTFs), Controls HCC Growth and Senescence. Cancers (Basel) 2021; 13:cancers13215373. [PMID: 34771537 PMCID: PMC8582588 DOI: 10.3390/cancers13215373] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 10/10/2021] [Accepted: 10/12/2021] [Indexed: 12/24/2022] Open
Abstract
Simple Summary Hepatocellular carcinoma (HCC) ranks second among the leading causes of cancer-related death. Since current therapeutic options are very limited, a deeper understanding of the molecular mechanisms underlying the tumor onset and progression of HCC holds great potential for improved therapeutic options. Although it has been shown that deleted in liver cancer 1 (DLC1) acts as a tumor suppressor whose allele is lost in 50% of liver cancers, alterations in gene expression initiated by DLC1 loss have not yet been the primary focus of liver cancer research. To identify novel gene targets that allow for a personalized medicine approach for HCC therapy, we performed gene expression profiling for HepG2 cells stably expressing DLC1shRNA. We provide evidence that TSPAN5 is required for HCC growth, migration and invasion, and dissected the underlying molecular mechanisms involving myocardin-related transcription factors. Thus, TSPAN5 represents a novel therapeutic target for the treatment of HCC characterized by DLC1 loss. Abstract Human hepatocellular carcinoma (HCC) is among the most lethal and common cancers in the human population, and new molecular targets for therapeutic intervention are urgently needed. Deleted in liver cancer 1 (DLC1) was originally identified as a tumor suppressor gene in human HCC. DLC1 is a Rho-GTPase-activating protein (RhoGAP) which accelerates the return of RhoGTPases to an inactive state. We recently described that the restoration of DLC1 expression induces cellular senescence. However, this principle is not amenable to direct therapeutic targeting. We therefore performed gene expression profiling for HepG2 cells depleted of DLC1 to identify druggable gene targets mediating the effects of DLC1 on senescence induction. This approach revealed that versican (VCAN), tetraspanin 5 (TSPAN5) and N-cadherin (CDH2) were strongly upregulated upon DLC1 depletion in HCC cells, but only TSPAN5 affected the proliferation of HCC cells and human HCC. The depletion of TSPAN5 induced oncogene-induced senescence (OIS), mediated by the p16INK4a/pRb pathways. Mechanistically, silencing TSPAN5 reduced actin polymerization and thereby myocardin-related transcription factor A- filamin A (MRTF-A-FLNA) complex formation, resulting in decreased expression of MRTF/SRF-dependent target genes and senescence induction in vitro and in vivo. Our results identify TSPAN5 as a novel druggable target for HCC.
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Affiliation(s)
- Laura Schreyer
- Department of Chemistry and Pharmacy, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany; (L.S.); (M.J.F.); (M.A.M.); (D.F.)
| | - Constanze Mittermeier
- Cancer Science Institute of Singapore, National University of Singapore, Singapore 117599, Singapore;
| | - Miriam J. Franz
- Department of Chemistry and Pharmacy, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany; (L.S.); (M.J.F.); (M.A.M.); (D.F.)
| | - Melanie A. Meier
- Department of Chemistry and Pharmacy, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany; (L.S.); (M.J.F.); (M.A.M.); (D.F.)
| | - Dietmar E. Martin
- Gene Center, Department of Chemistry and Pharmacy, Ludwig-Maximilians-University Munich, 81377 Munich, Germany; (D.E.M.); (K.C.M.)
| | - Kerstin C. Maier
- Gene Center, Department of Chemistry and Pharmacy, Ludwig-Maximilians-University Munich, 81377 Munich, Germany; (D.E.M.); (K.C.M.)
| | - Kerstin Huebner
- Experimental Tumor Pathology, Institute of Pathology, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (K.H.); (R.S.-S.)
| | - Regine Schneider-Stock
- Experimental Tumor Pathology, Institute of Pathology, University Hospital, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (K.H.); (R.S.-S.)
| | - Stephan Singer
- Department for Pathology, University Hospital Tuebingen, 72076 Tuebingen, Germany; (S.S.); (K.H.)
| | - Kerstin Holzer
- Department for Pathology, University Hospital Tuebingen, 72076 Tuebingen, Germany; (S.S.); (K.H.)
| | - Dagmar Fischer
- Department of Chemistry and Pharmacy, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany; (L.S.); (M.J.F.); (M.A.M.); (D.F.)
| | - Silvia Ribback
- Institute for Pathology, University of Greifswald, 17475 Greifswald, Germany;
| | - Bernhard Liebl
- LGL Bayerisches Landesamt für Gesundheit und Lebensmittelsicherheit, 85764 Oberschleißheim, Germany;
| | - Thomas Gudermann
- Walther Straub Institute of Pharmacology and Toxicology, Ludwig-Maximilians-University Munich, 80336 Munich, Germany;
| | - Achim Aigner
- Rudolf Boehm Institute of Pharmacology and Toxicology, Clinical Pharmacology, University of Leipzig, 04107 Leipzig, Germany;
| | - Susanne Muehlich
- Department of Chemistry and Pharmacy, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany; (L.S.); (M.J.F.); (M.A.M.); (D.F.)
- Correspondence: ; Tel.: +49-(0)9131-8565665
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3
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Žumer K, Maier KC, Farnung L, Jaeger MG, Rus P, Winter G, Cramer P. Two distinct mechanisms of RNA polymerase II elongation stimulation in vivo. Mol Cell 2021; 81:3096-3109.e8. [PMID: 34146481 DOI: 10.1016/j.molcel.2021.05.028] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 04/16/2021] [Accepted: 05/26/2021] [Indexed: 12/27/2022]
Abstract
Transcription by RNA polymerase II (RNA Pol II) relies on the elongation factors PAF1 complex (PAF), RTF1, and SPT6. Here, we use rapid factor depletion and multi-omics analysis to investigate how these elongation factors influence RNA Pol II elongation activity in human cells. Whereas depletion of PAF subunits PAF1 and CTR9 has little effect on cellular RNA synthesis, depletion of RTF1 or SPT6 strongly compromises RNA Pol II activity, albeit in fundamentally different ways. RTF1 depletion decreases RNA Pol II velocity, whereas SPT6 depletion impairs RNA Pol II progression through nucleosomes. These results show that distinct elongation factors stimulate either RNA Pol II velocity or RNA Pol II progression through chromatin in vivo. Further analysis provides evidence for two distinct barriers to early elongation: the promoter-proximal pause site and the +1 nucleosome. It emerges that the first barrier enables loading of elongation factors that are required to overcome the second and subsequent barriers to transcription.
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Affiliation(s)
- Kristina Žumer
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Faßberg 11, 37077 Göttingen, Germany
| | - Kerstin C Maier
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Faßberg 11, 37077 Göttingen, Germany
| | - Lucas Farnung
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Faßberg 11, 37077 Göttingen, Germany
| | - Martin G Jaeger
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14 AKH BT 25.3, 1090 Vienna, Austria
| | - Petra Rus
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Faßberg 11, 37077 Göttingen, Germany
| | - Georg Winter
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Lazarettgasse 14 AKH BT 25.3, 1090 Vienna, Austria
| | - Patrick Cramer
- Max Planck Institute for Biophysical Chemistry, Department of Molecular Biology, Am Faßberg 11, 37077 Göttingen, Germany.
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4
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Osman S, Mohammad E, Lidschreiber M, Stuetzer A, Bazsó FL, Maier KC, Urlaub H, Cramer P. The Cdk8 kinase module regulates interaction of the mediator complex with RNA polymerase II. J Biol Chem 2021; 296:100734. [PMID: 33933450 PMCID: PMC8191332 DOI: 10.1016/j.jbc.2021.100734] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 04/20/2021] [Accepted: 04/28/2021] [Indexed: 11/17/2022] Open
Abstract
The Cdk8 kinase module (CKM) is a dissociable part of the coactivator complex mediator, which regulates gene transcription by RNA polymerase II. The CKM has both negative and positive functions in gene transcription that remain poorly understood at the mechanistic level. In order to reconstitute the role of the CKM in transcription initiation, we prepared recombinant CKM from the yeast Saccharomyces cerevisiae. We showed that CKM bound to the core mediator (cMed) complex, sterically inhibiting cMed from binding to the polymerase II preinitiation complex (PIC) in vitro. We further showed that the Cdk8 kinase activity of the CKM weakened CKM-cMed interaction, thereby facilitating dissociation of the CKM and enabling mediator to bind the PIC in order to stimulate transcription initiation. Finally, we report that the kinase activity of Cdk8 is required for gene activation during the stressful condition of heat shock in vivo but not under steady-state growth conditions. Based on these results, we propose a model in which the CKM negatively regulates mediator function at upstream-activating sequences by preventing mediator binding to the PIC at the gene promoter. However, during gene activation in response to stress, the Cdk8 kinase activity of the CKM may release mediator and allow its binding to the PIC, thereby accounting for the positive function of CKM. This may impart improved adaptability to stress by allowing a rapid transcriptional response to environmental changes, and we speculate that a similar mechanism in metazoans may allow the precise timing of developmental transcription programs.
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Affiliation(s)
- Sara Osman
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Eusra Mohammad
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Michael Lidschreiber
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Alexandra Stuetzer
- Bioanalytical Mass Spectrometry Group, Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany; Bioanalytics Research Group, Institute for Clinical Chemistry, University Medical Center, Göttingen, Germany
| | - Fanni Laura Bazsó
- Bioanalytical Mass Spectrometry Group, Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany; Bioanalytics Research Group, Institute for Clinical Chemistry, University Medical Center, Göttingen, Germany
| | - Kerstin C Maier
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry Group, Department of Cellular Biochemistry, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany; Bioanalytics Research Group, Institute for Clinical Chemistry, University Medical Center, Göttingen, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.
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Maier KC, Gressel S, Cramer P, Schwalb B. Native molecule sequencing by nano-ID reveals synthesis and stability of RNA isoforms. Genome Res 2020; 30:1332-1344. [PMID: 32887688 PMCID: PMC7545145 DOI: 10.1101/gr.257857.119] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 06/30/2020] [Indexed: 01/01/2023]
Abstract
Eukaryotic genes often generate a variety of RNA isoforms that can lead to functionally distinct protein variants. The synthesis and stability of RNA isoforms is poorly characterized because current methods to quantify RNA metabolism use short-read sequencing and cannot detect RNA isoforms. Here we present nanopore sequencing–based isoform dynamics (nano-ID), a method that detects newly synthesized RNA isoforms and monitors isoform metabolism. Nano-ID combines metabolic RNA labeling, long-read nanopore sequencing of native RNA molecules, and machine learning. Nano-ID derives RNA stability estimates and evaluates stability determining factors such as RNA sequence, poly(A)-tail length, secondary structure, translation efficiency, and RNA-binding proteins. Application of nano-ID to the heat shock response in human cells reveals that many RNA isoforms change their stability. Nano-ID also shows that the metabolism of individual RNA isoforms differs strongly from that estimated for the combined RNA signal at a specific gene locus. Nano-ID enables studies of RNA metabolism at the level of single RNA molecules and isoforms in different cell states and conditions.
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Affiliation(s)
- Kerstin C Maier
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Saskia Gressel
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Björn Schwalb
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, 37077 Göttingen, Germany
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6
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Lidschreiber M, Easter AD, Battaglia S, Rodríguez-Molina JB, Casañal A, Carminati M, Baejen C, Grzechnik P, Maier KC, Cramer P, Passmore LA. The APT complex is involved in non-coding RNA transcription and is distinct from CPF. Nucleic Acids Res 2019; 46:11528-11538. [PMID: 30247719 PMCID: PMC6265451 DOI: 10.1093/nar/gky845] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Accepted: 09/11/2018] [Indexed: 11/15/2022] Open
Abstract
The 3'-ends of eukaryotic pre-mRNAs are processed in the nucleus by a large multiprotein complex, the cleavage and polyadenylation factor (CPF). CPF cleaves RNA, adds a poly(A) tail and signals transcription termination. CPF harbors four enzymatic activities essential for these processes, but how these are coordinated remains poorly understood. Several subunits of CPF, including two protein phosphatases, are also found in the related 'associated with Pta1' (APT) complex, but the relationship between CPF and APT is unclear. Here, we show that the APT complex is physically distinct from CPF. The 21 kDa Syc1 protein is associated only with APT, and not with CPF, and is therefore the defining subunit of APT. Using ChIP-seq, PAR-CLIP and RNA-seq, we show that Syc1/APT has distinct, but possibly overlapping, functions from those of CPF. Syc1/APT plays a more important role in sn/snoRNA production whereas CPF processes the 3'-ends of protein-coding pre-mRNAs. These results define distinct protein machineries for synthesis of mature eukaryotic protein-coding and non-coding RNAs.
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Affiliation(s)
- Michael Lidschreiber
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Karolinska Institutet, Department of Biosciences and Nutrition, Center for Innovative Medicine and Science for Life Laboratory, Novum, Hälsovägen 7, 141 83 Huddinge, Sweden
| | | | - Sofia Battaglia
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | | | - Ana Casañal
- MRC Laboratory of Molecular Biology, Cambridge CB2 0QH, UK
| | | | - Carlo Baejen
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Pawel Grzechnik
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Kerstin C Maier
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.,Karolinska Institutet, Department of Biosciences and Nutrition, Center for Innovative Medicine and Science for Life Laboratory, Novum, Hälsovägen 7, 141 83 Huddinge, Sweden
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7
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Cheng J, Maier KC, Avsec Ž, Rus P, Gagneur J. Cis-regulatory elements explain most of the mRNA stability variation across genes in yeast. RNA 2017; 23:1648-1659. [PMID: 28802259 PMCID: PMC5648033 DOI: 10.1261/rna.062224.117] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2017] [Accepted: 07/31/2017] [Indexed: 05/09/2023]
Abstract
The stability of mRNA is one of the major determinants of gene expression. Although a wealth of sequence elements regulating mRNA stability has been described, their quantitative contributions to half-life are unknown. Here, we built a quantitative model for Saccharomyces cerevisiae based on functional mRNA sequence features that explains 59% of the half-life variation between genes and predicts half-life at a median relative error of 30%. The model revealed a new destabilizing 3' UTR motif, ATATTC, which we functionally validated. Codon usage proves to be the major determinant of mRNA stability. Nonetheless, single-nucleotide variations have the largest effect when occurring on 3' UTR motifs or upstream AUGs. Analyzing mRNA half-life data of 34 knockout strains showed that the effect of codon usage not only requires functional decapping and deadenylation, but also the 5'-to-3' exonuclease Xrn1, the nonsense-mediated decay genes, but not no-go decay. Altogether, this study quantitatively delineates the contributions of mRNA sequence features on stability in yeast, reveals their functional dependencies on degradation pathways, and allows accurate prediction of half-life from mRNA sequence.
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Affiliation(s)
- Jun Cheng
- Department of Informatics, Technical University of Munich, 85748 Garching, Germany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, 81377 München, Germany
| | - Kerstin C Maier
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Žiga Avsec
- Department of Informatics, Technical University of Munich, 85748 Garching, Germany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, 81377 München, Germany
| | - Petra Rus
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Julien Gagneur
- Department of Informatics, Technical University of Munich, 85748 Garching, Germany
- Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, 81377 München, Germany
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8
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Glaser LV, Rieger S, Thumann S, Beer S, Kuklik-Roos C, Martin DE, Maier KC, Harth-Hertle ML, Grüning B, Backofen R, Krebs S, Blum H, Zimmer R, Erhard F, Kempkes B. EBF1 binds to EBNA2 and promotes the assembly of EBNA2 chromatin complexes in B cells. PLoS Pathog 2017; 13:e1006664. [PMID: 28968461 PMCID: PMC5638620 DOI: 10.1371/journal.ppat.1006664] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Revised: 10/12/2017] [Accepted: 09/22/2017] [Indexed: 12/26/2022] Open
Abstract
Epstein-Barr virus (EBV) infection converts resting human B cells into permanently proliferating lymphoblastoid cell lines (LCLs). The Epstein-Barr virus nuclear antigen 2 (EBNA2) plays a key role in this process. It preferentially binds to B cell enhancers and establishes a specific viral and cellular gene expression program in LCLs. The cellular DNA binding factor CBF1/CSL serves as a sequence specific chromatin anchor for EBNA2. The ubiquitous expression of this highly conserved protein raises the question whether additional cellular factors might determine EBNA2 chromatin binding selectively in B cells. Here we used CBF1 deficient B cells to identify cellular genes up or downregulated by EBNA2 as well as CBF1 independent EBNA2 chromatin binding sites. Apparently, CBF1 independent EBNA2 target genes and chromatin binding sites can be identified but are less frequent than CBF1 dependent EBNA2 functions. CBF1 independent EBNA2 binding sites are highly enriched for EBF1 binding motifs. We show that EBNA2 binds to EBF1 via its N-terminal domain. CBF1 proficient and deficient B cells require EBF1 to bind to CBF1 independent binding sites. Our results identify EBF1 as a co-factor of EBNA2 which conveys B cell specificity to EBNA2. Epstein-Barr virus (EBV) infection is closely linked to cancer development. At particular risk are immunocompromised individuals like post-transplant patients which can develop B cell lymphomas. In healthy individuals EBV preferentially infects B cells and establishes a latent infection without causing apparent clinical symptoms in most cases. Upon infection, Epstein-Barr virus nuclear antigen 2 (EBNA2) initiates a B cell specific gene expression program that causes activation and proliferation of the infected cells. EBNA2 is a transcription factor well known to use a cellular protein, CBF1/CSL, as a DNA adaptor. CBF1/CSL is a sequence specific DNA binding protein robustly expressed in all tissues. Here we show that EBNA2 can form complexes with early B cell factor 1 (EBF1), a B cell specific DNA binding transcription factor, and EBF1 stabilizes EBNA2 chromatin binding. This EBNA2/EBF1 complex might serve as a novel target to develop future small molecule strategies that act as antivirals in latent B cell infection.
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Affiliation(s)
- Laura V Glaser
- Department of Gene Vectors, Helmholtz Center Munich, Munich, Germany
| | - Simone Rieger
- Department of Gene Vectors, Helmholtz Center Munich, Munich, Germany
| | - Sybille Thumann
- Department of Gene Vectors, Helmholtz Center Munich, Munich, Germany
| | - Sophie Beer
- Department of Gene Vectors, Helmholtz Center Munich, Munich, Germany
| | | | | | | | | | - Björn Grüning
- Bioinformatics, Institute for Informatics, Albert-Ludwigs-University, Freiburg, Germany
| | - Rolf Backofen
- Bioinformatics, Institute for Informatics, Albert-Ludwigs-University, Freiburg, Germany
| | - Stefan Krebs
- Gene Center, Ludwig-Maximilians-University, Munich, Germany
| | - Helmut Blum
- Gene Center, Ludwig-Maximilians-University, Munich, Germany
| | - Ralf Zimmer
- Teaching and Research Unit Bioinformatics, Institute of Informatics, Ludwig-Maximilians-University, Munich, Germany
| | - Florian Erhard
- Teaching and Research Unit Bioinformatics, Institute of Informatics, Ludwig-Maximilians-University, Munich, Germany
| | - Bettina Kempkes
- Department of Gene Vectors, Helmholtz Center Munich, Munich, Germany
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9
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Xu Y, Bernecky C, Lee CT, Maier KC, Schwalb B, Tegunov D, Plitzko JM, Urlaub H, Cramer P. Architecture of the RNA polymerase II-Paf1C-TFIIS transcription elongation complex. Nat Commun 2017; 8:15741. [PMID: 28585565 PMCID: PMC5467213 DOI: 10.1038/ncomms15741] [Citation(s) in RCA: 67] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2016] [Accepted: 04/25/2017] [Indexed: 02/01/2023] Open
Abstract
The conserved polymerase-associated factor 1 complex (Paf1C) plays multiple roles in chromatin transcription and genomic regulation. Paf1C comprises the five subunits Paf1, Leo1, Ctr9, Cdc73 and Rtf1, and binds to the RNA polymerase II (Pol II) transcription elongation complex (EC). Here we report the reconstitution of Paf1C from Saccharomyces cerevisiae, and a structural analysis of Paf1C bound to a Pol II EC containing the elongation factor TFIIS. Cryo-electron microscopy and crosslinking data reveal that Paf1C is highly mobile and extends over the outer Pol II surface from the Rpb2 to the Rpb3 subunit. The Paf1-Leo1 heterodimer and Cdc73 form opposite ends of Paf1C, whereas Ctr9 bridges between them. Consistent with the structural observations, the initiation factor TFIIF impairs Paf1C binding to Pol II, whereas the elongation factor TFIIS enhances it. We further show that Paf1C is globally required for normal mRNA transcription in yeast. These results provide a three-dimensional framework for further analysis of Paf1C function in transcription through chromatin.
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Affiliation(s)
- Youwei Xu
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Max Planck Society, Am Fassberg 11, Göttingen 37077, Germany
| | - Carrie Bernecky
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Max Planck Society, Am Fassberg 11, Göttingen 37077, Germany
| | - Chung-Tien Lee
- Bioanalytical Mass Spectrometry, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, Göttingen 37077, Germany.,Bioanalytics Group, Institute for Clinical Chemistry, University Medical Center, Göttingen, Robert-Koch-Strasse 40, Göttingen 37075, Germany
| | - Kerstin C Maier
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Max Planck Society, Am Fassberg 11, Göttingen 37077, Germany
| | - Björn Schwalb
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Max Planck Society, Am Fassberg 11, Göttingen 37077, Germany
| | - Dimitry Tegunov
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Max Planck Society, Am Fassberg 11, Göttingen 37077, Germany
| | - Jürgen M Plitzko
- Department of Molecular Structural Biology, Max-Planck-Institute for Biochemistry, Am Klopferspitz 18, Martinsried 82152, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry, Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, Göttingen 37077, Germany.,Bioanalytics Group, Institute for Clinical Chemistry, University Medical Center, Göttingen, Robert-Koch-Strasse 40, Göttingen 37075, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max-Planck-Institute for Biophysical Chemistry, Max Planck Society, Am Fassberg 11, Göttingen 37077, Germany
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10
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Shetty A, Kallgren SP, Demel C, Maier KC, Spatt D, Alver BH, Cramer P, Park PJ, Winston F. Spt5 Plays Vital Roles in the Control of Sense and Antisense Transcription Elongation. Mol Cell 2017; 66:77-88.e5. [PMID: 28366642 DOI: 10.1016/j.molcel.2017.02.023] [Citation(s) in RCA: 57] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2016] [Revised: 01/12/2017] [Accepted: 02/22/2017] [Indexed: 12/11/2022]
Abstract
Spt5 is an essential and conserved factor that functions in transcription and co-transcriptional processes. However, many aspects of the requirement for Spt5 in transcription are poorly understood. We have analyzed the consequences of Spt5 depletion in Schizosaccharomyces pombe using four genome-wide approaches. Our results demonstrate that Spt5 is crucial for a normal rate of RNA synthesis and distribution of RNAPII over transcription units. In the absence of Spt5, RNAPII localization changes dramatically, with reduced levels and a relative accumulation over the first ∼500 bp, suggesting that Spt5 is required for transcription past a barrier. Spt5 depletion also results in widespread antisense transcription initiating within this barrier region. Deletions of this region alter the distribution of RNAPII on the sense strand, suggesting that the barrier observed after Spt5 depletion is normally a site at which Spt5 stimulates elongation. Our results reveal a global requirement for Spt5 in transcription elongation.
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Affiliation(s)
- Ameet Shetty
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Scott P Kallgren
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Carina Demel
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Kerstin C Maier
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Dan Spatt
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Burak H Alver
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Patrick Cramer
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, 37077 Göttingen, Germany
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Fred Winston
- Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
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11
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Baejen C, Andreani J, Torkler P, Battaglia S, Schwalb B, Lidschreiber M, Maier KC, Boltendahl A, Rus P, Esslinger S, Söding J, Cramer P. Genome-wide Analysis of RNA Polymerase II Termination at Protein-Coding Genes. Mol Cell 2017; 66:38-49.e6. [PMID: 28318822 DOI: 10.1016/j.molcel.2017.02.009] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2016] [Revised: 10/06/2016] [Accepted: 02/09/2017] [Indexed: 01/09/2023]
Abstract
At the end of protein-coding genes, RNA polymerase (Pol) II undergoes a concerted transition that involves 3'-processing of the pre-mRNA and transcription termination. Here, we present a genome-wide analysis of the 3'-transition in budding yeast. We find that the 3'-transition globally requires the Pol II elongation factor Spt5 and factors involved in the recognition of the polyadenylation (pA) site and in endonucleolytic RNA cleavage. Pol II release from DNA occurs in a narrow termination window downstream of the pA site and requires the "torpedo" exonuclease Rat1 (XRN2 in human). The Rat1-interacting factor Rai1 contributes to RNA degradation downstream of the pA site. Defects in the 3'-transition can result in increased transcription at downstream genes.
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Affiliation(s)
- Carlo Baejen
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Jessica Andreani
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Phillipp Torkler
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Sofia Battaglia
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Bjoern Schwalb
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Michael Lidschreiber
- Karolinska Institutet, Department of Biosciences and Nutrition, Center for Innovative Medicine and Science for Life Laboratory, Novum, Hälsovägen 7, 141 83 Huddinge, Sweden
| | - Kerstin C Maier
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Andrea Boltendahl
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Petra Rus
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany
| | - Stephanie Esslinger
- Gene Center Munich and Department of Biochemistry, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany
| | - Johannes Söding
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
| | - Patrick Cramer
- Max-Planck-Institute for Biophysical Chemistry, Am Fassberg 11, 37077 Göttingen, Germany.
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12
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Hermanns C, Hampl V, Holzer K, Aigner A, Penkava J, Frank N, Martin DE, Maier KC, Waldburger N, Roessler S, Goppelt-Struebe M, Akrap I, Thavamani A, Singer S, Nordheim A, Gudermann T, Muehlich S. The novel MKL target gene myoferlin modulates expansion and senescence of hepatocellular carcinoma. Oncogene 2017; 36:3464-3476. [DOI: 10.1038/onc.2016.496] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 10/23/2016] [Accepted: 11/22/2016] [Indexed: 12/20/2022]
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13
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Wales P, Schuberth CE, Aufschnaiter R, Fels J, García-Aguilar I, Janning A, Dlugos CP, Schäfer-Herte M, Klingner C, Wälte M, Kuhlmann J, Menis E, Hockaday Kang L, Maier KC, Hou W, Russo A, Higgs HN, Pavenstädt H, Vogl T, Roth J, Qualmann B, Kessels MM, Martin DE, Mulder B, Wedlich-Söldner R. Calcium-mediated actin reset (CaAR) mediates acute cell adaptations. eLife 2016; 5. [PMID: 27919320 PMCID: PMC5140269 DOI: 10.7554/elife.19850] [Citation(s) in RCA: 102] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 11/14/2016] [Indexed: 12/24/2022] Open
Abstract
Actin has well established functions in cellular morphogenesis. However, it is not well understood how the various actin assemblies in a cell are kept in a dynamic equilibrium, in particular when cells have to respond to acute signals. Here, we characterize a rapid and transient actin reset in response to increased intracellular calcium levels. Within seconds of calcium influx, the formin INF2 stimulates filament polymerization at the endoplasmic reticulum (ER), while cortical actin is disassembled. The reaction is then reversed within a few minutes. This Calcium-mediated actin reset (CaAR) occurs in a wide range of mammalian cell types and in response to many physiological cues. CaAR leads to transient immobilization of organelles, drives reorganization of actin during cell cortex repair, cell spreading and wound healing, and induces long-lasting changes in gene expression. Our findings suggest that CaAR acts as fundamental facilitator of cellular adaptations in response to acute signals and stress. DOI:http://dx.doi.org/10.7554/eLife.19850.001 Our skeleton plays a vital role in giving shape and structure to our body, it also allows us to make coordinated movements. Similarly, each cell contains a microscopic network of structures and supports called the cytoskeleton that helps cells to adopt specific shapes and is crucial for them to move around. Unlike our skeleton, which is relatively unchanging, the cytoskeleton of each cell constantly changes and adapts to the specific needs of the cell. One part of the cytoskeleton is a dense, flexible meshwork of fibers called the cortex that lies just beneath the surface of the cell. The cortex is constructed using a protein called actin, and many of these proteins join together to form each fiber. When cells need to adapt rapidly to an injury or other sudden changes in their environment they activate a so-called stress response. This response often begins with a rapid increase in the amount of calcium ions inside a cell, which can then trigger changes in actin organization. However, it is not clear how cells under stress are able to globally remodel their actin cytoskeleton without compromising stability and integrity of the cortex. Wales, Schuberth, Aufschnaiter et al. used a range of mammalian cells to investigate how actin responds to stress signals. All cells responded to the resulting influx of calcium ions by deconstructing large parts of the actin cortex and simultaneously forming actin filaments near the center of the cell. Wales, Schuberth, Aufschnaiter et al. termed this response calcium-mediated actin reset (CaAR), as it lasted for only a few minutes before the actin cortex reformed. The experiments show that a protein called INF2 controls CaAR by rapidly removing actin from the cortex and forming new filaments near a cell compartment called the endoplasmic reticulum. CaAR allows cells to rapidly and drastically alter the cortex in response to stress. The experiments also show that this sudden shift in actin can change the activity of certain genes, leading to longer-term effects on the cell. The findings of Wales, Schuberth, Aufschnaiter et al. suggest that calcium ions globally regulate the actin cytoskeleton and hence cell shape and movement under stress. This could be relevant for many important processes and conditions such as wound healing, inflammation and cancer. A future challenge will be to understand the role of CaAR in these processes. DOI:http://dx.doi.org/10.7554/eLife.19850.002
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Affiliation(s)
- Pauline Wales
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Christian E Schuberth
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Roland Aufschnaiter
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Johannes Fels
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | | | - Annette Janning
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Christopher P Dlugos
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany.,Medical Clinic D, University Clinic of Muenster, Muenster, Germany
| | - Marco Schäfer-Herte
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Christoph Klingner
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany.,AG Molecular Mechanotransduction, Max Planck Institute of Biochemistry, Munich, Germany
| | - Mike Wälte
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Julian Kuhlmann
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Ekaterina Menis
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Laura Hockaday Kang
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
| | - Kerstin C Maier
- Department of Biochemistry, University of Munich, Munich, Germany
| | - Wenya Hou
- Institute of Biochemistry I, Friedrich Schiller University Jena, Jena, Germany
| | - Antonella Russo
- Institute of Immunology, University of Münster, Münster, Germany
| | - Henry N Higgs
- Department of Biochemistry, Dartmouth Medical School, Hanover, United States
| | | | - Thomas Vogl
- Institute of Immunology, University of Münster, Münster, Germany
| | - Johannes Roth
- Institute of Immunology, University of Münster, Münster, Germany
| | - Britta Qualmann
- Institute of Biochemistry I, Friedrich Schiller University Jena, Jena, Germany
| | - Michael M Kessels
- Institute of Biochemistry I, Friedrich Schiller University Jena, Jena, Germany
| | - Dietmar E Martin
- Department of Biochemistry, University of Munich, Munich, Germany
| | - Bela Mulder
- Theory of Biological Matter, FOM Institute AMOLF, Amsterdam, Netherlands
| | - Roland Wedlich-Söldner
- Institute of Cell Dynamics and Imaging, University of Muenster, Muenster, Germany.,Cells-In-Motion Cluster of Excellence (EXC1003 - CiM), University of Münster, Muenster, Germany
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14
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Abstract
To quantify gene regulation, a function is required that relates transcription factor binding to DNA (input) to the rate of mRNA synthesis from a target gene (output). Such a ‘gene regulation function’ (GRF) generally cannot be measured because the experimental titration of inputs and simultaneous readout of outputs is difficult. Here we show that GRFs may instead be inferred from natural changes in cellular gene expression, as exemplified for the cell cycle in the yeast S. cerevisiae. We develop this inference approach based on a time series of mRNA synthesis rates from a synchronized population of cells observed over three cell cycles. We first estimate the functional form of how input transcription factors determine mRNA output and then derive GRFs for target genes in the CLB2 gene cluster that are expressed during G2/M phase. Systematic analysis of additional GRFs suggests a network architecture that rationalizes transcriptional cell cycle oscillations. We find that a transcription factor network alone can produce oscillations in mRNA expression, but that additional input from cyclin oscillations is required to arrive at the native behaviour of the cell cycle oscillator. DOI:http://dx.doi.org/10.7554/eLife.12188.001 Living cells rely on networks of genes to control their behavior, including how they grow, develop and respond to stress. Genes encode instructions needed to make proteins and other molecules, and much of the control is exerted at the first stage of protein production, known as transcription. During this process, a gene is copied to make molecules known as transcripts that may later be used as templates to make proteins. Many genes encode proteins that act to regulate transcription. Therefore, an individual gene may receive inputs from other genes, and these inputs affect how much transcript the gene produces, which can be considered as the gene’s output. While these inputs and outputs can often be wired together to form a network, it is less clear exactly how all the different inputs at a gene interact to determine its output. These interactions are known as “gene regulation functions”, and knowing them would be an important step towards understanding gene networks, which would help us to predict how cells will behave in different situations. Gene regulation functions are difficult to measure directly, so researchers would like to find other ways to assess them indirectly. A recently developed experimental technique called “dynamic transcriptome analysis” seemed promising as it measures both the inputs and outputs of all genes in a cell over time. Hillenbrand et al. used this technique to infer gene regulation functions with one or two inputs in yeast cells. Comparing these estimates with experimental data from previous studies showed that these inferred gene regulation functions could successfully predict the output of a gene based on its inputs. Hillenbrand et al. then used these estimates to search and model a well-known genetic network that is thought to be part of the molecular clockwork that controls the timing of events that cause a cell to divide. Currently, the approach used by Hillenbrand et al. treats gene regulation functions like “black boxes”. This means that, while an output can be predicted if the inputs are known, it cannot reveal all of the detailed mechanisms behind it. Gaining insights into the inner workings of these black boxes will require taking more data into account, such as how abundant the proteins that regulate transcription are, where they are located within cells or whether they are active or not. Therefore, the next challenge is to incorporate these kinds of data to gain a fuller picture of how gene networks operate within cells. DOI:http://dx.doi.org/10.7554/eLife.12188.002
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Affiliation(s)
- Patrick Hillenbrand
- Lehrstuhl für Theorie komplexer Biosysteme, Physik-Department, Technische Universität München, Garching, Germany
| | - Kerstin C Maier
- Max-Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Patrick Cramer
- Max-Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Ulrich Gerland
- Lehrstuhl für Theorie komplexer Biosysteme, Physik-Department, Technische Universität München, Garching, Germany
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15
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Eser P, Wachutka L, Maier KC, Demel C, Boroni M, Iyer S, Cramer P, Gagneur J. Determinants of RNA metabolism in the Schizosaccharomyces pombe genome. Mol Syst Biol 2016; 12:857. [PMID: 26883383 PMCID: PMC4770384 DOI: 10.15252/msb.20156526] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
To decrypt the regulatory code of the genome, sequence elements must be defined that determine the kinetics of RNA metabolism and thus gene expression. Here, we attempt such decryption in an eukaryotic model organism, the fission yeast S. pombe. We first derive an improved genome annotation that redefines borders of 36% of expressed mRNAs and adds 487 non‐coding RNAs (ncRNAs). We then combine RNA labeling in vivo with mathematical modeling to obtain rates of RNA synthesis and degradation for 5,484 expressed RNAs and splicing rates for 4,958 introns. We identify functional sequence elements in DNA and RNA that control RNA metabolic rates and quantify the contributions of individual nucleotides to RNA synthesis, splicing, and degradation. Our approach reveals distinct kinetics of mRNA and ncRNA metabolism, separates antisense regulation by transcription interference from RNA interference, and provides a general tool for studying the regulatory code of genomes.
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Affiliation(s)
- Philipp Eser
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Leonhard Wachutka
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Kerstin C Maier
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Carina Demel
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Mariana Boroni
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Srignanakshi Iyer
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Patrick Cramer
- Department of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Julien Gagneur
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Munich, Germany
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16
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Eser P, Demel C, Maier KC, Schwalb B, Pirkl N, Martin DE, Cramer P, Tresch A. Periodic mRNA synthesis and degradation co-operate during cell cycle gene expression. Mol Syst Biol 2014; 10:717. [PMID: 24489117 PMCID: PMC4023403 DOI: 10.1002/msb.134886] [Citation(s) in RCA: 70] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
During the cell cycle, the levels of hundreds of mRNAs change in a periodic manner, but how this is achieved by alterations in the rates of mRNA synthesis and degradation has not been studied systematically. Here, we used metabolic RNA labeling and comparative dynamic transcriptome analysis (cDTA) to derive mRNA synthesis and degradation rates every 5 min during three cell cycle periods of the yeast Saccharomyces cerevisiae. A novel statistical model identified 479 genes that show periodic changes in mRNA synthesis and generally also periodic changes in their mRNA degradation rates. Peaks of mRNA degradation generally follow peaks of mRNA synthesis, resulting in sharp and high peaks of mRNA levels at defined times during the cell cycle. Whereas the timing of mRNA synthesis is set by upstream DNA motifs and their associated transcription factors (TFs), the synthesis rate of a periodically expressed gene is apparently set by its core promoter.
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Affiliation(s)
- Philipp Eser
- Gene Center and Department of Biochemistry, Center for Integrated Protein Science CIPSM Ludwig-Maximilians-Universität München, Munich, Germany
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17
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Sun M, Schwalb B, Pirkl N, Maier KC, Schenk A, Failmezger H, Tresch A, Cramer P. Global analysis of eukaryotic mRNA degradation reveals Xrn1-dependent buffering of transcript levels. Mol Cell 2013; 52:52-62. [PMID: 24119399 DOI: 10.1016/j.molcel.2013.09.010] [Citation(s) in RCA: 172] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2013] [Revised: 06/30/2013] [Accepted: 09/06/2013] [Indexed: 02/08/2023]
Abstract
The rates of mRNA synthesis and degradation determine cellular mRNA levels and can be monitored by comparative dynamic transcriptome analysis (cDTA) that uses nonperturbing metabolic RNA labeling. Here we present cDTA data for 46 yeast strains lacking genes involved in mRNA degradation and metabolism. In these strains, changes in mRNA degradation rates are generally compensated by changes in mRNA synthesis rates, resulting in a buffering of mRNA levels. We show that buffering of mRNA levels requires the RNA exonuclease Xrn1. The buffering is rapidly established when mRNA synthesis is impaired, but is delayed when mRNA degradation is impaired, apparently due to Xrn1-dependent transcription repressor induction. Cluster analysis of the data defines the general mRNA degradation machinery, reveals different substrate preferences for the two mRNA deadenylase complexes Ccr4-Not and Pan2-Pan3, and unveils an interwoven cellular mRNA surveillance network.
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Affiliation(s)
- Mai Sun
- Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science CIPSM, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany
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18
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Esslinger SM, Schwalb B, Helfer S, Michalik KM, Witte H, Maier KC, Martin D, Michalke B, Tresch A, Cramer P, Förstemann K. Drosophila miR-277 controls branched-chain amino acid catabolism and affects lifespan. RNA Biol 2013; 10:1042-56. [PMID: 23669073 PMCID: PMC3904584 DOI: 10.4161/rna.24810] [Citation(s) in RCA: 59] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
Development, growth and adult survival are coordinated with available metabolic resources, ascertaining that the organism responds appropriately to environmental conditions. MicroRNAs are short (21-23 nt) regulatory RNAs that confer specificity on the RNA-induced silencing complex (RISC) to inhibit a given set of mRNA targets. We profiled changes in miRNA expression during adult life in Drosophila melanogaster and determined that miR-277 is downregulated during adult life. Molecular analysis revealed that this miRNA controls branched-chain amino acid (BCAA) catabolism and as a result it can modulate the activity of the TOR kinase, a central growth regulator, in cultured cells. Metabolite analysis in cultured cells as well as flies suggests that the mechanistic basis may be an accumulation of branched-chain α-keto-acids (BCKA), rather than BCAAs, thus avoiding potentially detrimental consequences of increased branched chain amino acid levels on e.g., translational fidelity. Constitutive miR-277 expression shortens lifespan and is synthetically lethal with reduced insulin signaling, indicating that metabolic control underlies this phenotype. Transgenic inhibition with a miRNA sponge construct also shortens lifespan, in particular on protein-rich food. Thus, optimal metabolic adaptation appears to require tuning of cellular BCAA catabolism by miR-277.
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Affiliation(s)
- Stephanie Maria Esslinger
- Gene Center and Department of Biochemistry, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, München, Germany
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19
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Miller C, Matic I, Maier KC, Schwalb B, Roether S, Strässer K, Tresch A, Mann M, Cramer P. Mediator phosphorylation prevents stress response transcription during non-stress conditions. J Biol Chem 2012; 287:44017-26. [PMID: 23135281 PMCID: PMC3531718 DOI: 10.1074/jbc.m112.430140] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2012] [Indexed: 12/20/2022] Open
Abstract
The multiprotein complex Mediator is a coactivator of RNA polymerase (Pol) II transcription that is required for the regulated expression of protein-coding genes. Mediator serves as an end point of signaling pathways and regulates Pol II transcription, but the mechanisms it uses are not well understood. Here, we used mass spectrometry and dynamic transcriptome analysis to investigate a functional role of Mediator phosphorylation in gene expression. Affinity purification and mass spectrometry revealed that Mediator from the yeast Saccharomyces cerevisiae is phosphorylated at multiple sites of 17 of its 25 subunits. Mediator phosphorylation levels change upon an external stimulus set by exposure of cells to high salt concentrations. Phosphorylated sites in the Mediator tail subunit Med15 are required for suppression of stress-induced changes in gene expression under non-stress conditions. Thus dynamic and differential Mediator phosphorylation contributes to gene regulation in eukaryotic cells.
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Affiliation(s)
- Christian Miller
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
| | - Ivan Matic
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried near Munich, Germany
| | - Kerstin C. Maier
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
| | - Björn Schwalb
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
| | - Susanne Roether
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
| | - Katja Strässer
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
| | - Achim Tresch
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, D-82152 Martinsried near Munich, Germany
| | - Patrick Cramer
- From the Gene Center Munich and Department of Biochemistry, Center for Integrated Protein Science Munich, Ludwig-Maximilians-Universität München, Feodor-Lynen-Strasse 25, 81377 Munich, Germany and
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Schmidt CS, Bultmann S, Meilinger D, Zacher B, Tresch A, Maier KC, Peter C, Martin DE, Leonhardt H, Spada F. Global DNA hypomethylation prevents consolidation of differentiation programs and allows reversion to the embryonic stem cell state. PLoS One 2012; 7:e52629. [PMID: 23300728 PMCID: PMC3531338 DOI: 10.1371/journal.pone.0052629] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2012] [Accepted: 11/19/2012] [Indexed: 11/18/2022] Open
Abstract
DNA methylation patterns change dynamically during mammalian development and lineage specification, yet scarce information is available about how DNA methylation affects gene expression profiles upon differentiation. Here we determine genome-wide transcription profiles during undirected differentiation of severely hypomethylated (Dnmt1−/−) embryonic stem cells (ESCs) as well as ESCs completely devoid of DNA methylation (Dnmt1−/−;Dnmt3a−/−;Dnmt3b−/− or TKO) and assay their potential to transit in and out of the ESC state. We find that the expression of only few genes mainly associated with germ line function and the X chromosome is affected in undifferentiated TKO ESCs. Upon initial differentiation as embryoid bodies (EBs) wild type, Dnmt1−/− and TKO cells downregulate pluripotency associated genes and upregulate lineage specific genes, but their transcription profiles progressively diverge upon prolonged EB culture. While Oct4 protein levels are completely and homogeneously suppressed, transcription of Oct4 and Nanog is not completely silenced even at late stages in both Dnmt1−/− and TKO EBs. Despite late wild type and Dnmt1−/− EBs showing a much higher degree of concordant expression, after EB dissociation and replating under pluripotency promoting conditions both Dnmt1−/− and TKO cells, but not wild type cells rapidly revert to expression profiles typical of undifferentiated ESCs. Thus, while DNA methylation seems not to be critical for initial activation of differentiation programs, it is crucial for permanent restriction of developmental fate during differentiation.
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Affiliation(s)
- Christine S. Schmidt
- Department of Biology II, Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Sebastian Bultmann
- Department of Biology II, Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Daniela Meilinger
- Department of Biology II, Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Benedikt Zacher
- Gene Center, Department of Biochemistry, Ludwig Maximilians University Munich, Munich, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Achim Tresch
- Gene Center, Department of Biochemistry, Ludwig Maximilians University Munich, Munich, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
- Institute for Genetics, Botanical Institute, University of Cologne, Cologne, Germany
- Department for Computational Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany
| | - Kerstin C. Maier
- Gene Center, Department of Biochemistry, Ludwig Maximilians University Munich, Munich, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Christian Peter
- Sir William Dunn School of Pathology, University of Oxford, Oxford, United Kingdom
| | - Dietmar E. Martin
- Gene Center, Department of Biochemistry, Ludwig Maximilians University Munich, Munich, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Heinrich Leonhardt
- Department of Biology II, Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
| | - Fabio Spada
- Department of Biology II, Ludwig Maximilians University Munich, Planegg-Martinsried, Germany
- Center for Integrated Protein Science Munich, Ludwig Maximilians University Munich, Munich, Germany
- * E-mail:
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Niederberger T, Etzold S, Lidschreiber M, Maier KC, Martin DE, Fröhlich H, Cramer P, Tresch A. MC EMiNEM maps the interaction landscape of the Mediator. PLoS Comput Biol 2012; 8:e1002568. [PMID: 22737066 PMCID: PMC3380870 DOI: 10.1371/journal.pcbi.1002568] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2012] [Accepted: 05/04/2012] [Indexed: 11/18/2022] Open
Abstract
The Mediator is a highly conserved, large multiprotein complex that is involved essentially in the regulation of eukaryotic mRNA transcription. It acts as a general transcription factor by integrating regulatory signals from gene-specific activators or repressors to the RNA Polymerase II. The internal network of interactions between Mediator subunits that conveys these signals is largely unknown. Here, we introduce MC EMiNEM, a novel method for the retrieval of functional dependencies between proteins that have pleiotropic effects on mRNA transcription. MC EMiNEM is based on Nested Effects Models (NEMs), a class of probabilistic graphical models that extends the idea of hierarchical clustering. It combines mode-hopping Monte Carlo (MC) sampling with an Expectation-Maximization (EM) algorithm for NEMs to increase sensitivity compared to existing methods. A meta-analysis of four Mediator perturbation studies in Saccharomyces cerevisiae, three of which are unpublished, provides new insight into the Mediator signaling network. In addition to the known modular organization of the Mediator subunits, MC EMiNEM reveals a hierarchical ordering of its internal information flow, which is putatively transmitted through structural changes within the complex. We identify the N-terminus of Med7 as a peripheral entity, entailing only local structural changes upon perturbation, while the C-terminus of Med7 and Med19 appear to play a central role. MC EMiNEM associates Mediator subunits to most directly affected genes, which, in conjunction with gene set enrichment analysis, allows us to construct an interaction map of Mediator subunits and transcription factors.
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Affiliation(s)
- Theresa Niederberger
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Stefanie Etzold
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Michael Lidschreiber
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Kerstin C. Maier
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Dietmar E. Martin
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Holger Fröhlich
- Bonn-Aachen International Center for IT (B-IT) Algorithmic Bioinformatics, Rheinische Friedrich-Wilhelms-University Bonn, Bonn, Germany
| | - Patrick Cramer
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Achim Tresch
- Gene Center Munich and Center for integrated Protein Science CiPSM, Department of Biochemistry, Ludwig-Maximilians-University Munich, Munich, Germany
- Max Planck Institute for Plant Breeding Research, Cologne, Germany
- Institute for Genetics, University of Cologne, Cologne, Germany
- * E-mail:
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Maier KC, Godfrey JE, Echeverri CJ, Cheong FKY, Schroer TA. Dynamitin mutagenesis reveals protein-protein interactions important for dynactin structure. Traffic 2008; 9:481-91. [PMID: 18182012 DOI: 10.1111/j.1600-0854.2008.00702.x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Dynactin is a highly conserved, multiprotein complex that works in conjunction with microtubule-based motors to power a variety of intracellular motile events. Dynamitin (p50) is a core element of dynactin structure. In the present study, we use targeted mutagenesis to evaluate how dynamitin's different structural domains contribute to its ability to self-associate, interact with dynactin and assemble into a complex with its close binding partner, p24. We show that these interactions involve three distinct structural elements: (i) a previously unidentified dimerization motif in the N-terminal 100 amino acids, (ii) an alpha-helical motif spanning aa 106-162 and (iii) the C-terminal half of the molecule (aa 213-406), which is predicted to fold into an antiparallel alpha-helix bundle. The N-terminal half of dynamitin by itself is sufficient to disrupt dynactin, although very high concentrations are required. The ability of mutations in dynamitin's interaction domains to disrupt dynactin in vitro was found to correlate with their inhibitory effects when expressed in cells. We determined that the dynactin subunit, p24, governs dynamitin oligomerization by binding dynamitin along its length. This suppresses aberrant multimerization and drives formation of a protein complex that is identical to the native dynactin shoulder.
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Affiliation(s)
- Kerstin C Maier
- Department of Biology, The Johns Hopkins University, 3400 North Charles Street, Baltimore, MD 21218, USA
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Abstract
Dynamitin is a commonly used inhibitor of cytoplasmic dynein-based motility in living cells. Dynamitin does not inhibit dynein directly but instead acts by causing disassembly of dynactin, a multiprotein complex required for dynein-based movement. In dynactin, dynamitin is closely associated with the subunits p150(Glued) and p24, which together form the shoulder and projecting arm structures of the dynactin molecule. In this study, we explore the way in which exogenous dynamitin effects dynactin disruption. We find that pure, recombinant dynamitin is an elongated protein with a strong propensity for self-assembly. Titration experiments reveal that free dynamitin binds dynactin before it causes release of subunits. When dynamitin is added to dynactin at an equimolar ratio of exogenous dynamitin subunits to endogenous dynamitin subunits (1x= 4 mol of exogenous dynamitin per mole of dynactin), exogenous dynamitin exchanges with endogenous dynamitin, and partial release of p150(Glued) is observed. When added in vast excess (> or =25x; 100 mol of exogenous dynamitin per mole of dynactin), recombinant dynamitin causes complete release of both p150(Glued) subunits, two dynamitins and one p24, but not other dynactin subunits. Our data suggest that dynamitin mediates disruption of dynactin by binding to endogenous dynamitin subunits. This binding destabilizes the shoulder structure that links the p150(Glued) arm to the Arp1 filament and leads to subunit release.
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Affiliation(s)
- Karin A Melkonian
- Department of Biology, The Johns Hopkins University, Baltimore, Maryland 21218, USA
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Abstract
The bidirectional nature of late endosome/lysosome movement suggests involvement of at least two distinct motors, one minus-end directed and one plus-end directed. Previous work has identified dynein as the minus-end-directed motor for late endosome/lysosome localization and dynamics. Conventional kinesin (kinesin-1) has been implicated in plus-end-directed late endosome/lysosome movement, but other kinesin family members may also be involved. Kinesin-2 is known to drive the movement of pigment granules, a type of lysosomally derived organelle, and was recently found to be associated with purified late endosomes. To determine whether kinesin-2 might also power endosome movement in non-pigmented cells, we overexpressed dominant negative forms of the KIF3A motor subunit and KAP3 accessory subunit and knocked down KAP3 levels using RNAi. We found kinesin-2 to be required for the normal steady-state localization of late endosomes/lysosomes but not early endosomes or recycling endosomes. Despite the abnormal subcellular distribution of late endosomes/lysosomes, the uptake and trafficking of molecules through the conventional endocytic pathway appeared to be unaffected. The slow time-course of inhibition suggests that both kinesin-2 itself and its attachment to membranes do not turn over quickly.
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Affiliation(s)
- Christa L Brown
- Department of Biology, The Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA
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Abstract
Cytoplasmic dynein and dynactin are megadalton-sized multisubunit molecules that function together as a cytoskeletal motor. In the present study, we explore the mechanism of dynein-dynactin binding in vitro and then extend our findings to an in vivo context. Solution binding assays were used to define binding domains in the dynein intermediate chain (IC) and dynactin p150Glued subunit. Transient overexpression of a series of fragments of the dynein IC was used to determine the importance of this subunit for dynein function in mammalian tissue culture cells. Our results suggest that a functional dynein-dynactin interaction is required for proper microtubule organization and for the transport and localization of centrosomal components and endomembrane compartments. The dynein IC fragments have different effects on endomembrane localization, suggesting that different endomembranes may bind dynein via distinct mechanisms.
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Affiliation(s)
- Stephen J King
- Department of Biology, The Johns Hopkins University, Baltimore, Maryland 21218, USA
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Abstract
GlnR plays a major role in regulation in Bacillus subtilis by directly controlling expression of glutamine synthetase (GS) as well as several genes involved in nitrogen metabolism. A GlnR homolog from Staphylococcus aureus was found to complement a B. subtilis glnR mutant, regulating GS levels and glnRA expression in a nitrogen-dependent manner. In a GS null mutant, S. aureus GlnR was not able to influence glnRA transcription, indicating that the S. aureus protein is able to respond to the same signals as its B. subtilis counterpart. This is the first demonstration of a relationship between GS and GlnR from a heterologous system and suggests the presence of a regulatory network in S. aureus that responds to changes in environmental nitrogen similar to that described for B. subtilis.
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Affiliation(s)
- H J Schreier
- Center of Marine Biotechnology, University of Maryland Biotechnology Institute, 701 E. Pratt Street, Baltimore, MD 21202, USA.
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