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Opolka-Hoffmann E, Edelmann MR, Otteneder MB, Hauri S, Jordan G, Schrag P, Lechmann M, Winter G, Staack RF. Biodistribution of Drug/ADA Complexes: The Impact of Immune Complex Formation on Antibody Distribution. AAPS J 2024; 26:33. [PMID: 38478197 DOI: 10.1208/s12248-024-00899-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 12/08/2023] [Accepted: 02/10/2024] [Indexed: 04/11/2024] Open
Abstract
The clinical use of therapeutic monoclonal antibodies (mAbs) for the treatment of cancer, inflammation, and other indications has been successfully established. A critical aspect of drug-antibody pharmacokinetics is immunogenicity, which triggers an immune response via an anti-drug antibody (ADA) and forms drug/ADA immune complexes (ICs). As a consequence, there may be a reduced efficacy upon neutralization by ADA or an accelerated drug clearance. It is therefore important to understand immunogenicity in biological therapies. A drug-like immunoglobulin G (IgG) was radiolabeled with tritium, and ICs were formed using polyclonal ADA, directed against the complementary-determining region of the drug-IgG, to investigate in vivo biodistribution in rodents. It was demonstrated that 65% of the radioactive IC dose was excreted within the first 24 h, compared with only 6% in the control group who received non-complexed 3H-drug. Autoradiographic imaging at the early time point indicated a deposition of immune complexes in the liver, lung, and spleen indicated by an increased radioactivity signal. A biodistribution study confirmed the results and revealed further insights regarding excretion and plasma profiles. It is assumed that the immune complexes are readily taken up by the reticuloendothelial system. The ICs are degraded proteolytically, and the released radioactively labeled amino acids are redistributed throughout the body. These are mainly renally excreted as indicated by urine measurements or incorporated into protein synthesis. These biodistribution studies using tritium-labeled immune complexes described in this article underline the importance of understanding the immunogenicity induced by therapeutic proteins and the resulting influence on biological behavior.
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Affiliation(s)
- Eugenia Opolka-Hoffmann
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Roche Diagnostics GmbH, Nonnenwald 2, DE-82377, Penzberg, Germany.
| | - Martin R Edelmann
- Department of Pharmacy and Pharmacology, University of Bath, Bath, BA2 7AY, UK
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Therapeutic Modalities, CH-4070, Basel, Switzerland
| | - Michael B Otteneder
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland
| | - Simon Hauri
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland
| | - Gregor Jordan
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Roche Diagnostics GmbH, Nonnenwald 2, DE-82377, Penzberg, Germany
| | - Peter Schrag
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, CH-4070, Basel, Switzerland
| | - Martin Lechmann
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Roche Diagnostics GmbH, Nonnenwald 2, DE-82377, Penzberg, Germany
| | - Gerhard Winter
- Department of Pharmacy, Pharmaceutical Technology & Biopharmaceutics, Ludwig-Maximilians University, DE-80539, Munich, Germany
| | - Roland F Staack
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Munich, Roche Diagnostics GmbH, Nonnenwald 2, DE-82377, Penzberg, Germany
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2
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Velasco Cárdenas RMH, Brandl SM, Meléndez AV, Schlaak AE, Buschky A, Peters T, Beier F, Serrels B, Taromi S, Raute K, Hauri S, Gstaiger M, Lassmann S, Huppa JB, Boerries M, Andrieux G, Bengsch B, Schamel WW, Minguet S. Harnessing CD3 diversity to optimize CAR T cells. Nat Immunol 2023; 24:2135-2149. [PMID: 37932456 PMCID: PMC10681901 DOI: 10.1038/s41590-023-01658-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 09/19/2023] [Indexed: 11/08/2023]
Abstract
Current US Food and Drug Administration-approved chimeric antigen receptor (CAR) T cells harbor the T cell receptor (TCR)-derived ζ chain as an intracellular activation domain in addition to costimulatory domains. The functionality in a CAR format of the other chains of the TCR complex, namely CD3δ, CD3ε and CD3γ, instead of ζ, remains unknown. In the present study, we have systematically engineered new CD3 CARs, each containing only one of the CD3 intracellular domains. We found that CARs containing CD3δ, CD3ε or CD3γ cytoplasmic tails outperformed the conventional ζ CAR T cells in vivo. Transcriptomic and proteomic analysis revealed differences in activation potential, metabolism and stimulation-induced T cell dysfunctionality that mechanistically explain the enhanced anti-tumor performance. Furthermore, dimerization of the CARs improved their overall functionality. Using these CARs as minimalistic and synthetic surrogate TCRs, we have identified the phosphatase SHP-1 as a new interaction partner of CD3δ that binds the CD3δ-ITAM on phosphorylation of its C-terminal tyrosine. SHP-1 attenuates and restrains activation signals and might thus prevent exhaustion and dysfunction. These new insights into T cell activation could promote the rational redesign of synthetic antigen receptors to improve cancer immunotherapy.
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Affiliation(s)
- Rubí M-H Velasco Cárdenas
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Simon M Brandl
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Ana Valeria Meléndez
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Alexandra Emilia Schlaak
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Clinic for Internal Medicine II, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Annabelle Buschky
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Timo Peters
- Center for Pathophysiology, Infectiology and Immunology, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria
| | - Fabian Beier
- Institute for Surgical Pathology, Medical Center, Freiburg, Germany
| | - Bryan Serrels
- Wolfson Wohl Cancer Research Centre, Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
- NanoString Technologies, Inc., Seattle, WA, USA
| | - Sanaz Taromi
- Department of Medicine I, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- Faculty of Medical and Life Sciences, University of Furtwangen, Freiburg, Germany
| | - Katrin Raute
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Simon Hauri
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
| | - Matthias Gstaiger
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
| | - Silke Lassmann
- Institute for Surgical Pathology, Medical Center, Freiburg, Germany
| | - Johannes B Huppa
- Center for Pathophysiology, Infectiology and Immunology, Institute for Hygiene and Applied Immunology, Medical University of Vienna, Vienna, Austria
| | - Melanie Boerries
- Institute of Medical Bioinformatics and Systems Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
- German Cancer Consortium and German Cancer Research Center, Freiburg, Germany
| | - Geoffroy Andrieux
- Institute of Medical Bioinformatics and Systems Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Bertram Bengsch
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Clinic for Internal Medicine II, Medical Center, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Wolfgang W Schamel
- Faculty of Biology, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
- Center of Chronic Immunodeficiency, University Clinics and Medical Faculty, Freiburg, Germany
| | - Susana Minguet
- Faculty of Biology, University of Freiburg, Freiburg, Germany.
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany.
- Center of Chronic Immunodeficiency, University Clinics and Medical Faculty, Freiburg, Germany.
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3
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Walles M, Berna MJ, Jian W, Hauri S, Hengel S, King L, Tran JC, Wei C, Xu K, Zhu X. A Cross Company Perspective on the Assessment of Therapeutic Protein Biotransformation. Drug Metab Dispos 2022; 50:846-857. [DOI: 10.1124/dmd.121.000462] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 03/02/2022] [Indexed: 11/22/2022] Open
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4
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Hauri S, Jakubiak P, Fueth M, Dengl S, Belli S, Alvarez-Sánchez R, Caruso A. Understanding the Half-Life Extension of Intravitreally Administered Antibodies Binding to Ocular Albumin. Pharmaceutics 2020; 12:E810. [PMID: 32858986 PMCID: PMC7559355 DOI: 10.3390/pharmaceutics12090810] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [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: 07/10/2020] [Revised: 08/13/2020] [Accepted: 08/20/2020] [Indexed: 12/21/2022] Open
Abstract
The burden associated with frequent injections of current intravitreal (IVT) therapeutics may be reduced by long-acting delivery strategies. Binding to serum albumin has been shown to extend the ocular half-life in rabbits, however, the underlying molecular mechanisms and translational relevance remain unclear. The aim of this work was to characterize the in vitro and in vivo formation of complexes between human serum albumin (HSA) and an antigen-binding fragment of a rabbit antibody linked to an anti-HSA nanobody (FabA). The ocular and systemic pharmacokinetics of 3H-labeled FabA (0.05 mg/eye IVT) co-formulated with HSA (1 and 15 nmol/eye) were assessed in Dutch belted rabbits. Next, FabA was incubated in vitreous samples from cynomolgus monkeys and human donors (healthy and diseased) supplemented with species-specific serum albumin. Finally, the FabA-albumin complexes formed in vitro and in vivo were analyzed by radio-size exclusion chromatography. A 3-fold increase in FabA vitreal exposure and half-life was observed in rabbits co-administered with 15 nmol HSA compared to 1 nmol and a control arm. The different pharmacokinetic behavior was explained with the formation of higher molecular weight FabA-albumin complexes. The analysis of vitreous samples revealed the existence of predominantly 1:1 complexes at endogenous or low concentrations of supplemented albumin. A shift towards 1:2 complexes was observed with increasing albumin concentrations. Overall, these results suggest that endogenous vitreal albumin concentrations are insufficient for half-life extension and warrant supplementation in the dosing formulation.
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Affiliation(s)
- Simon Hauri
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland; (P.J.); (M.F.); (S.B.); (R.A.-S.); (A.C.)
| | - Paulina Jakubiak
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland; (P.J.); (M.F.); (S.B.); (R.A.-S.); (A.C.)
| | - Matthias Fueth
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland; (P.J.); (M.F.); (S.B.); (R.A.-S.); (A.C.)
| | - Stefan Dengl
- Roche Pharma Research and Early Development, Large Molecule Research, Roche Innovation Center Munich, F. Hoffmann-La Roche Ltd., Nonnenwald 2, D-82377 Penzberg, Germany;
| | - Sara Belli
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland; (P.J.); (M.F.); (S.B.); (R.A.-S.); (A.C.)
| | - Rubén Alvarez-Sánchez
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland; (P.J.); (M.F.); (S.B.); (R.A.-S.); (A.C.)
| | - Antonello Caruso
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Grenzacherstrasse 124, CH-4070 Basel, Switzerland; (P.J.); (M.F.); (S.B.); (R.A.-S.); (A.C.)
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5
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Schadt S, Hauri S, Lopes F, Edelmann MR, Staack RF, Villaseñor R, Kettenberger H, Roth AB, Schuler F, Richter WF, Funk C. Are Biotransformation Studies of Therapeutic Proteins Needed? Scientific Considerations and Technical Challenges. Drug Metab Dispos 2019; 47:1443-1456. [DOI: 10.1124/dmd.119.088997] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2019] [Accepted: 10/09/2019] [Indexed: 12/13/2022] Open
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6
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Bertran MT, Mouilleron S, Zhou Y, Bajaj R, Uliana F, Kumar GS, van Drogen A, Lee R, Banerjee JJ, Hauri S, O'Reilly N, Gstaiger M, Page R, Peti W, Tapon N. ASPP proteins discriminate between PP1 catalytic subunits through their SH3 domain and the PP1 C-tail. Nat Commun 2019; 10:771. [PMID: 30770806 PMCID: PMC6377682 DOI: 10.1038/s41467-019-08686-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 01/25/2019] [Indexed: 11/26/2022] Open
Abstract
Serine/threonine phosphatases such as PP1 lack substrate specificity and associate with a large array of targeting subunits to achieve the requisite selectivity. The tumour suppressor ASPP (apoptosis-stimulating protein of p53) proteins associate with PP1 catalytic subunits and are implicated in multiple functions from transcriptional regulation to cell junction remodelling. Here we show that Drosophila ASPP is part of a multiprotein PP1 complex and that PP1 association is necessary for several in vivo functions of Drosophila ASPP. We solve the crystal structure of the human ASPP2/PP1 complex and show that ASPP2 recruits PP1 using both its canonical RVxF motif, which binds the PP1 catalytic domain, and its SH3 domain, which engages the PP1 C-terminal tail. The ASPP2 SH3 domain can discriminate between PP1 isoforms using an acidic specificity pocket in the n-Src domain, providing an exquisite mechanism where multiple motifs are used combinatorially to tune binding affinity to PP1.
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Affiliation(s)
- M Teresa Bertran
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Stéphane Mouilleron
- Structural Biology - Science Technology Platform, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.
| | - Yanxiang Zhou
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Rakhi Bajaj
- Chemistry and Biochemistry Department, University of Arizona, 1041 E. Lowell Street, Biosciences West, 517, Tucson, AZ, 85721, USA
| | - Federico Uliana
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093, Zürich, Switzerland
| | - Ganesan Senthil Kumar
- Chemistry and Biochemistry Department, University of Arizona, 1041 E. Lowell Street, Biosciences West, 517, Tucson, AZ, 85721, USA
| | - Audrey van Drogen
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093, Zürich, Switzerland
| | - Rebecca Lee
- Structural Biology - Science Technology Platform, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Jennifer J Banerjee
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Simon Hauri
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093, Zürich, Switzerland
| | - Nicola O'Reilly
- Peptide Chemistry Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK
| | - Matthias Gstaiger
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093, Zürich, Switzerland
| | - Rebecca Page
- Chemistry and Biochemistry Department, University of Arizona, 1041 E. Lowell Street, Biosciences West, 517, Tucson, AZ, 85721, USA
| | - Wolfgang Peti
- Chemistry and Biochemistry Department, University of Arizona, 1041 E. Lowell Street, Biosciences West, 517, Tucson, AZ, 85721, USA
| | - Nicolas Tapon
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.
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Hauri S, Khakzad H, Happonen L, Teleman J, Malmström J, Malmström L. Rapid determination of quaternary protein structures in complex biological samples. Nat Commun 2019; 10:192. [PMID: 30643114 PMCID: PMC6331586 DOI: 10.1038/s41467-018-07986-1] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [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: 04/27/2018] [Accepted: 12/07/2018] [Indexed: 12/26/2022] Open
Abstract
The understanding of complex biological systems is still hampered by limited knowledge of biologically relevant quaternary protein structures. Here, we demonstrate quaternary structure determination in biological samples using a combination of chemical cross-linking, high-resolution mass spectrometry and high-accuracy protein structure modeling. This approach, termed targeted cross-linking mass spectrometry (TX-MS), relies on computational structural models to score sets of targeted cross-linked peptide signals acquired using a combination of mass spectrometry acquisition techniques. We demonstrate the utility of TX-MS by creating a high-resolution quaternary model of a 1.8 MDa protein complex composed of a pathogen surface protein and ten human plasma proteins. The model is based on a dense network of cross-link distance constraints obtained directly in a mixture of human plasma and live bacteria. These results demonstrate that TX-MS can increase the applicability of flexible backbone docking algorithms to large protein complexes by providing rich cross-link distance information from complex biological samples. Protein structure determination in complex biological samples is still challenging. Here, the authors develop a computational modeling-guided cross-linking mass spectrometry method, obtaining a high-resolution model of a 1.8 MDa protein assembly from cross-links detected in a mixture of human plasma and bacteria.
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Affiliation(s)
- Simon Hauri
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Klinikgatan 32, SE-22184, Lund, Sweden
| | - Hamed Khakzad
- S3IT, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.,Institute for Computational Science, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland
| | - Lotta Happonen
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Klinikgatan 32, SE-22184, Lund, Sweden
| | - Johan Teleman
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Klinikgatan 32, SE-22184, Lund, Sweden
| | - Johan Malmström
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Klinikgatan 32, SE-22184, Lund, Sweden.
| | - Lars Malmström
- Division of Infection Medicine, Department of Clinical Sciences Lund, Faculty of Medicine, Lund University, Klinikgatan 32, SE-22184, Lund, Sweden. .,S3IT, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland. .,Institute for Computational Science, University of Zurich, Winterthurerstrasse 190, CH-8057, Zurich, Switzerland.
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8
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Jassinskaja M, Johansson E, Kristiansen TA, Åkerstrand H, Sjöholm K, Hauri S, Malmström J, Yuan J, Hansson J. Comprehensive Proteomic Characterization of Ontogenic Changes in Hematopoietic Stem and Progenitor Cells. Cell Rep 2018; 21:3285-3297. [PMID: 29241553 DOI: 10.1016/j.celrep.2017.11.070] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [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: 08/17/2017] [Revised: 09/27/2017] [Accepted: 11/19/2017] [Indexed: 12/22/2022] Open
Abstract
Hematopoietic stem and progenitor cells (HSPCs) in the fetus and adult possess distinct molecular landscapes that regulate cell fate and change their susceptibility to initiation and progression of hematopoietic malignancies. Here, we applied in-depth quantitative proteomics to comprehensively describe and compare the proteome of fetal and adult HSPCs. Our data uncover a striking difference in complexity of the cellular proteomes, with more diverse adult-specific HSPC proteomic signatures. The differential protein content in fetal and adult HSPCs indicate distinct metabolic profiles and protein complex stoichiometries. Additionally, adult characteristics include an arsenal of proteins linked to viral and bacterial defense, as well as protection against ROS-induced protein oxidation. Further analyses show that interferon α, as well as Neutrophil elastase, has distinct functional effects in fetal and adult HSPCs. This study provides a rich resource aimed toward an enhanced mechanistic understanding of normal and malignant hematopoiesis during fetal and adult life.
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Affiliation(s)
- Maria Jassinskaja
- Lund Stem Cell Center, Division of Molecular Hematology, Lund University, 221 84 Lund, Sweden
| | - Emil Johansson
- Lund Stem Cell Center, Division of Molecular Hematology, Lund University, 221 84 Lund, Sweden
| | - Trine Ahn Kristiansen
- Lund Stem Cell Center, Division of Molecular Hematology, Lund University, 221 84 Lund, Sweden
| | - Hugo Åkerstrand
- Lund Stem Cell Center, Division of Molecular Hematology, Lund University, 221 84 Lund, Sweden
| | - Kristoffer Sjöholm
- Department of Clinical Sciences, Division of Infection Medicine, Lund University, 221 84 Lund, Sweden
| | - Simon Hauri
- Department of Clinical Sciences, Division of Infection Medicine, Lund University, 221 84 Lund, Sweden
| | - Johan Malmström
- Department of Clinical Sciences, Division of Infection Medicine, Lund University, 221 84 Lund, Sweden
| | - Joan Yuan
- Lund Stem Cell Center, Division of Molecular Hematology, Lund University, 221 84 Lund, Sweden
| | - Jenny Hansson
- Lund Stem Cell Center, Division of Molecular Hematology, Lund University, 221 84 Lund, Sweden.
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9
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Persson ST, Hauri S, Malmström J, Herwald H. Leucocyte recruitment and molecular fortification of keratinocytes triggered by streptococcal M1 protein. Cell Microbiol 2017; 20. [DOI: 10.1111/cmi.12792] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/07/2017] [Accepted: 09/26/2017] [Indexed: 01/02/2023]
Affiliation(s)
- Sandra T. Persson
- Division of Infection Medicine, Department of Clinical Sciences, Biomedical Center; Lund University; Lund Sweden
| | - Simon Hauri
- Division of Infection Medicine, Department of Clinical Sciences, Biomedical Center; Lund University; Lund Sweden
| | - Johan Malmström
- Division of Infection Medicine, Department of Clinical Sciences, Biomedical Center; Lund University; Lund Sweden
| | - Heiko Herwald
- Division of Infection Medicine, Department of Clinical Sciences, Biomedical Center; Lund University; Lund Sweden
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Jassinskaja M, Kristiansen T, Åkerstrand H, Olsson K, Sjöholm K, Hauri S, Malmström J, Yuan J, Hansson J. Comprehensive proteomic description of ontogenic changes in hematopoietic stem and progenitor cells. Exp Hematol 2017. [DOI: 10.1016/j.exphem.2017.06.220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Banerjee JJ, Aerne BL, Holder MV, Hauri S, Gstaiger M, Tapon N. Meru couples planar cell polarity with apical-basal polarity during asymmetric cell division. eLife 2017; 6:e25014. [PMID: 28665270 PMCID: PMC5493435 DOI: 10.7554/elife.25014] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2017] [Accepted: 06/14/2017] [Indexed: 12/15/2022] Open
Abstract
Polarity is a shared feature of most cells. In epithelia, apical-basal polarity often coexists, and sometimes intersects with planar cell polarity (PCP), which orients cells in the epithelial plane. From a limited set of core building blocks (e.g. the Par complexes for apical-basal polarity and the Frizzled/Dishevelled complex for PCP), a diverse array of polarized cells and tissues are generated. This suggests the existence of little-studied tissue-specific factors that rewire the core polarity modules to the appropriate conformation. In Drosophila sensory organ precursors (SOPs), the core PCP components initiate the planar polarization of apical-basal determinants, ensuring asymmetric division into daughter cells of different fates. We show that Meru, a RASSF9/RASSF10 homologue, is expressed specifically in SOPs, recruited to the posterior cortex by Frizzled/Dishevelled, and in turn polarizes the apical-basal polarity factor Bazooka (Par3). Thus, Meru belongs to a class of proteins that act cell/tissue-specifically to remodel the core polarity machinery.
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Affiliation(s)
- Jennifer J Banerjee
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Birgit L Aerne
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Maxine V Holder
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Simon Hauri
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
- Competence Center Personalized Medicine UZH/ETH, Zürich, Switzerland
| | - Matthias Gstaiger
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland
- Competence Center Personalized Medicine UZH/ETH, Zürich, Switzerland
| | - Nicolas Tapon
- Apoptosis and Proliferation Control Laboratory, The Francis Crick Institute, London, United Kingdom
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Abstract
In data-independent acquisition mass spectrometry (DIA-MS), targeted extraction of peptide signals in silico using mass spectrometry assay libraries is a successful method for the identification and quantification of proteins. However, it remains unclear if high quality assay libraries with more accurate peptide ion coordinates can improve peptide target identification rates in DIA analysis. In this study, we systematically improved and evaluated the common algorithmic steps for assay library generation and demonstrate that increased assay quality results in substantially higher identification rates of peptide targets from mouse organ protein lysates measured by DIA-MS. The introduced changes are (1) a new spectrum interpretation algorithm, (2) reapplication of segmented retention time normalization, (3) a ppm fragment mass error matching threshold, (4) usage of internal peptide fragments, and (5) a multilevel false discovery rate calculation. Taken together, these changes yielded 14-36% more identified peptide targets at 1% assay false discovery rate and are implemented in three new open source tools, Fraggle, Tramler, and Franklin, available at https://github.com/fickludd/eviltools . The improved algorithms provide ways to better utilize discovery MS data, translating to substantially increased DIA performance and ultimately better foundations for drawing biological conclusions in DIA-based experiments.
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Affiliation(s)
- Johan Teleman
- Department of Clinical Sciences, Lund University , BMC D13, 221 84 Lund, Sweden.,Department of Immunotechnology, Lund University , Medicon Village (Building 406), 223 81 Lund, Sweden
| | - Simon Hauri
- Department of Clinical Sciences, Lund University , BMC D13, 221 84 Lund, Sweden
| | - Johan Malmström
- Department of Clinical Sciences, Lund University , BMC D13, 221 84 Lund, Sweden
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13
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Hauri S, Comoglio F, Seimiya M, Gerstung M, Glatter T, Hansen K, Aebersold R, Paro R, Gstaiger M, Beisel C. A High-Density Map for Navigating the Human Polycomb Complexome. Cell Rep 2016; 17:583-595. [PMID: 27705803 DOI: 10.1016/j.celrep.2016.08.096] [Citation(s) in RCA: 191] [Impact Index Per Article: 23.9] [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: 07/29/2016] [Revised: 08/23/2016] [Accepted: 08/30/2016] [Indexed: 12/20/2022] Open
Abstract
Polycomb group (PcG) proteins are major determinants of gene silencing and epigenetic memory in higher eukaryotes. Here, we systematically mapped the human PcG complexome using a robust affinity purification mass spectrometry approach. Our high-density protein interaction network uncovered a diverse range of PcG complexes. Moreover, our analysis identified PcG interactors linking them to the PcG system, thus providing insight into the molecular function of PcG complexes and mechanisms of recruitment to target genes. We identified two human PRC2 complexes and two PR-DUB deubiquitination complexes, which contain the O-linked N-acetylglucosamine transferase OGT1 and several transcription factors. Finally, genome-wide profiling of PR-DUB components indicated that the human PR-DUB and PRC1 complexes bind distinct sets of target genes, suggesting differential impact on cellular processes in mammals.
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Affiliation(s)
- Simon Hauri
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland; Competence Center Personalized Medicine UZH/ETH, 8044 Zürich, Switzerland
| | - Federico Comoglio
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland
| | - Makiko Seimiya
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland
| | - Moritz Gerstung
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland
| | - Timo Glatter
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland
| | - Klaus Hansen
- Biotech Research and Innovation Centre (BRIC) and Centre for Epigenetics, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland; Faculty of Science, University of Zürich, 8057 Zürich, Switzerland
| | - Renato Paro
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland; Faculty of Sciences, University of Basel, 4056 Basel, Switzerland
| | - Matthias Gstaiger
- Department of Biology, Institute of Molecular Systems Biology, ETH Zürich, 8093 Zürich, Switzerland; Competence Center Personalized Medicine UZH/ETH, 8044 Zürich, Switzerland.
| | - Christian Beisel
- Department of Biosystems Science and Engineering, ETH Zürich, 4058 Basel, Switzerland.
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14
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Malmström L, Bakochi A, Svensson G, Kilsgård O, Lantz H, Petersson AC, Hauri S, Karlsson C, Malmström J. Quantitative proteogenomics of human pathogens using DIA-MS. J Proteomics 2015; 129:98-107. [PMID: 26381203 DOI: 10.1016/j.jprot.2015.09.012] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [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: 04/14/2015] [Revised: 09/04/2015] [Accepted: 09/09/2015] [Indexed: 11/26/2022]
Abstract
The increasing number of bacterial genomes in combination with reproducible quantitative proteome measurements provides new opportunities to explore how genetic differences modulate proteome composition and virulence. It is challenging to combine genome and proteome data as the underlying genome influences the proteome. We present a strategy to facilitate the integration of genome data from several genetically similar bacterial strains with data-independent analysis mass spectrometry (DIA-MS) for rapid interrogation of the combined data sets. The strategy relies on the construction of a composite genome combining all genetic data in a compact format, which can accommodate the fusion with quantitative peptide and protein information determined via DIA-MS. We demonstrate the method by combining data sets from whole genome sequencing, shotgun MS and DIA-MS from 34 clinical isolates of Streptococcus pyogenes. The data structure allows for fast exploration of the data showing that undetected proteins are on average more amenable to amino acid substitution than expressed proteins. We identified several significantly differentially expressed proteins between invasive and non-invasive strains. The work underlines how integration of whole genome sequencing with accurately quantified proteomes can further advance the interpretation of the relationship between genomes, proteomes and virulence. This article is part of a Special Issue entitled: Computational Proteomics.
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Affiliation(s)
| | - Anahita Bakochi
- Division of Infection Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Gabriel Svensson
- Division of Infection Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Ola Kilsgård
- Division of Infection Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Henrik Lantz
- Department of Medical Biochemistry and Microbiology/BILS, Uppsala University, Uppsala, Sweden
| | - Ann Cathrine Petersson
- Department of Clinical Microbiology, Division of Laboratory Medicine, Region Skåne, Lund, Sweden
| | - Simon Hauri
- Division of Infection Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Christofer Karlsson
- Division of Infection Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
| | - Johan Malmström
- Division of Infection Medicine, Department of Clinical Sciences Lund, Lund University, Lund, Sweden
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15
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Maiolica A, de Medina-Redondo M, Schoof EM, Chaikuad A, Villa F, Gatti M, Jeganathan S, Lou HJ, Novy K, Hauri S, Toprak UH, Herzog F, Meraldi P, Penengo L, Turk BE, Knapp S, Linding R, Aebersold R. Modulation of the chromatin phosphoproteome by the Haspin protein kinase. Mol Cell Proteomics 2014; 13:1724-40. [PMID: 24732914 DOI: 10.1074/mcp.m113.034819] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Recent discoveries have highlighted the importance of Haspin kinase activity for the correct positioning of the kinase Aurora B at the centromere. Haspin phosphorylates Thr(3) of the histone H3 (H3), which provides a signal for Aurora B to localize to the centromere of mitotic chromosomes. To date, histone H3 is the only confirmed Haspin substrate. We used a combination of biochemical, pharmacological, and mass spectrometric approaches to study the consequences of Haspin inhibition in mitotic cells. We quantified 3964 phosphorylation sites on chromatin-associated proteins and identified a Haspin protein-protein interaction network. We determined the Haspin consensus motif and the co-crystal structure of the kinase with the histone H3 tail. The structure revealed a unique bent substrate binding mode positioning the histone H3 residues Arg(2) and Lys(4) adjacent to the Haspin phosphorylated threonine into acidic binding pockets. This unique conformation of the kinase-substrate complex explains the reported modulation of Haspin activity by methylation of Lys(4) of the histone H3. In addition, the identification of the structural basis of substrate recognition and the amino acid sequence preferences of Haspin aided the identification of novel candidate Haspin substrates. In particular, we validated the phosphorylation of Ser(137) of the histone variant macroH2A as a target of Haspin kinase activity. MacroH2A Ser(137) resides in a basic stretch of about 40 amino acids that is required to stabilize extranucleosomal DNA, suggesting that phosphorylation of Ser(137) might regulate the interactions of macroH2A and DNA. Overall, our data suggest that Haspin activity affects the phosphorylation state of proteins involved in gene expression regulation and splicing.
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Affiliation(s)
- Alessio Maiolica
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Maria de Medina-Redondo
- §Department of Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Erwin M Schoof
- ¶Cellular Signal Integration Group (C-SIG), Center for Biological Sequence Analysis (CBS), Department of Systems Biology, Technical University of Denmark (DTU), Lyngby, Denmark
| | - Apirat Chaikuad
- ‖Oxford University, Nuffield Department of Clinical Medicine, Target Discovery Institute (TDI) and Structural Genomics Consortium (SGC), Oxford OX3 7FZ, United Kingdom
| | - Fabrizio Villa
- **Department of Experimental Oncology, European Institute of Oncology, Milan, Italy
| | - Marco Gatti
- ‡‡Department of Pharmaceutical Sciences, University of Piemonte Orientale "A. Avogadro" Novara, Italy
| | - Siva Jeganathan
- §§Department of Mechanistic Cell Biology, Max Planck Institute of Molecular Physiology, Dortmund, Germany
| | - Hua Jane Lou
- ¶¶Yale University School of Medicine, Department of Pharmacology, New Haven, Connecticut 06520, USA
| | - Karel Novy
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Simon Hauri
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Umut H Toprak
- §Department of Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Franz Herzog
- ‖‖Gene Center Munich Ludwig-Maximilians-Universität München, Munich, Germany
| | - Patrick Meraldi
- §Department of Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland
| | - Lorenza Penengo
- ‡‡Department of Pharmaceutical Sciences, University of Piemonte Orientale "A. Avogadro" Novara, Italy
| | - Benjamin E Turk
- ¶¶Yale University School of Medicine, Department of Pharmacology, New Haven, Connecticut 06520, USA
| | - Stefan Knapp
- ‖Oxford University, Nuffield Department of Clinical Medicine, Target Discovery Institute (TDI) and Structural Genomics Consortium (SGC), Oxford OX3 7FZ, United Kingdom
| | - Rune Linding
- ¶Cellular Signal Integration Group (C-SIG), Center for Biological Sequence Analysis (CBS), Department of Systems Biology, Technical University of Denmark (DTU), Lyngby, Denmark
| | - Ruedi Aebersold
- From the ‡Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland
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16
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Roncagalli R, Hauri S, Fiore F, Liang Y, Chen Z, Sansoni A, Kanduri K, Joly R, Malzac A, Lähdesmäki H, Lahesmaa R, Yamasaki S, Saito T, Malissen M, Aebersold R, Gstaiger M, Malissen B. Quantitative proteomics analysis of signalosome dynamics in primary T cells identifies the surface receptor CD6 as a Lat adaptor-independent TCR signaling hub. Nat Immunol 2014; 15:384-392. [PMID: 24584089 DOI: 10.1038/ni.2843] [Citation(s) in RCA: 98] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2013] [Accepted: 02/03/2014] [Indexed: 02/08/2023]
Abstract
T cell antigen receptor (TCR)-mediated activation of T cells requires the interaction of dozens of proteins. Here we used quantitative mass spectrometry and activated primary CD4(+) T cells from mice in which a tag for affinity purification was knocked into several genes to determine the composition and dynamics of multiprotein complexes that formed around the kinase Zap70 and the adaptors Lat and SLP-76. Most of the 112 high-confidence time-resolved protein interactions we observed were previously unknown. The surface receptor CD6 was able to initiate its own signaling pathway by recruiting SLP-76 and the guanine nucleotide-exchange factor Vav1 regardless of the presence of Lat. Our findings provide a more complete model of TCR signaling in which CD6 constitutes a signaling hub that contributes to the diversification of TCR signaling.
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Affiliation(s)
- Romain Roncagalli
- Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France.,INSERM U1104, Marseille, France.,CNRS UMR7280, Marseille, France
| | - Simon Hauri
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.,Competence Center for Systems Physiology and Metabolic Diseases, ETH Zurich, Switzerland
| | - Fréderic Fiore
- Centre d'Immunophénomique, UM2 Aix-Marseille Université, Marseille, France.,INSERM US012, Marseille, France.,CNRS UMS3367, Marseille, France
| | - Yinming Liang
- Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France.,INSERM U1104, Marseille, France.,CNRS UMR7280, Marseille, France
| | - Zhi Chen
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland
| | - Amandine Sansoni
- Centre d'Immunophénomique, UM2 Aix-Marseille Université, Marseille, France.,INSERM US012, Marseille, France.,CNRS UMS3367, Marseille, France
| | - Kartiek Kanduri
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland
| | - Rachel Joly
- Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France.,INSERM U1104, Marseille, France.,CNRS UMR7280, Marseille, France
| | - Aurélie Malzac
- Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France.,INSERM U1104, Marseille, France.,CNRS UMR7280, Marseille, France
| | - Harri Lähdesmäki
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland.,Department of Information and Computer Science, Aalto University, Finland
| | - Riitta Lahesmaa
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland
| | - Sho Yamasaki
- Division of Molecular Immunology, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan
| | - Takashi Saito
- RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
| | - Marie Malissen
- Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France.,INSERM U1104, Marseille, France.,CNRS UMR7280, Marseille, France
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.,Faculty of Science, University of Zurich, Zurich, Switzerland
| | - Matthias Gstaiger
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.,Competence Center for Systems Physiology and Metabolic Diseases, ETH Zurich, Switzerland
| | - Bernard Malissen
- Centre d'Immunologie de Marseille-Luminy, UM2 Aix-Marseille Université, Marseille, France.,INSERM U1104, Marseille, France.,CNRS UMR7280, Marseille, France.,Centre d'Immunophénomique, UM2 Aix-Marseille Université, Marseille, France.,INSERM US012, Marseille, France.,CNRS UMS3367, Marseille, France
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17
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Hauri S, Wepf A, van Drogen A, Varjosalo M, Tapon N, Aebersold R, Gstaiger M. Interaction proteome of human Hippo signaling: modular control of the co-activator YAP1. Mol Syst Biol 2013; 9:713. [PMID: 24366813 PMCID: PMC4019981 DOI: 10.1002/msb.201304750] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Revised: 11/13/2013] [Accepted: 11/20/2013] [Indexed: 12/11/2022] Open
Abstract
Tissue homeostasis is controlled by signaling systems that coordinate cell proliferation, cell growth and cell shape upon changes in the cellular environment. Deregulation of these processes is associated with human cancer and can occur at multiple levels of the underlying signaling systems. To gain an integrated view on signaling modules controlling tissue growth, we analyzed the interaction proteome of the human Hippo pathway, an established growth regulatory signaling system. The resulting high-resolution network model of 480 protein-protein interactions among 270 network components suggests participation of Hippo pathway components in three distinct modules that all converge on the transcriptional co-activator YAP1. One of the modules corresponds to the canonical Hippo kinase cassette whereas the other two both contain Hippo components in complexes with cell polarity proteins. Quantitative proteomic data suggests that complex formation with cell polarity proteins is dynamic and depends on the integrity of cell-cell contacts. Collectively, our systematic analysis greatly enhances our insights into the biochemical landscape underlying human Hippo signaling and emphasizes multifaceted roles of cell polarity complexes in Hippo-mediated tissue growth control.
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Affiliation(s)
- Simon Hauri
- Institute of Molecular Systems BiologyETH ZürichZürichSwitzerland
- Competence Center for Systems Physiology and Metabolic DiseasesETH ZürichZürichSwitzerland
| | | | | | - Markku Varjosalo
- Institute of Molecular Systems BiologyETH ZürichZürichSwitzerland
- Institute of BiotechnologyUniversity of HelsinkiHelsinkiFinland
| | - Nic Tapon
- Cancer Research UKLondon Research InstituteLondonUK
| | - Ruedi Aebersold
- Institute of Molecular Systems BiologyETH ZürichZürichSwitzerland
- Competence Center for Systems Physiology and Metabolic DiseasesETH ZürichZürichSwitzerland
- Faculty of ScienceUniversity of ZürichZürichSwitzerland
| | - Matthias Gstaiger
- Institute of Molecular Systems BiologyETH ZürichZürichSwitzerland
- Competence Center for Systems Physiology and Metabolic DiseasesETH ZürichZürichSwitzerland
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18
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Mellacheruvu D, Wright Z, Couzens AL, Lambert JP, St-Denis N, Li T, Miteva YV, Hauri S, Sardiu ME, Low TY, Halim VA, Bagshaw RD, Hubner NC, al-Hakim A, Bouchard A, Faubert D, Fermin D, Dunham WH, Goudreault M, Lin ZY, Badillo BG, Pawson T, Durocher D, Coulombe B, Aebersold R, Superti-Furga G, Colinge J, Heck AJR, Choi H, Gstaiger M, Mohammed S, Cristea IM, Bennett KL, Washburn MP, Raught B, Ewing RM, Gingras AC, Nesvizhskii AI. The CRAPome: a contaminant repository for affinity purification-mass spectrometry data. Nat Methods 2013; 10:730-6. [PMID: 23921808 PMCID: PMC3773500 DOI: 10.1038/nmeth.2557] [Citation(s) in RCA: 1072] [Impact Index Per Article: 97.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2013] [Accepted: 05/18/2013] [Indexed: 02/07/2023]
Abstract
Affinity purification coupled with mass spectrometry (AP-MS) is a widely used approach for the identification of protein-protein interactions. However, for any given protein of interest, determining which of the identified polypeptides represent bona fide interactors versus those that are background contaminants (for example, proteins that interact with the solid-phase support, affinity reagent or epitope tag) is a challenging task. The standard approach is to identify nonspecific interactions using one or more negative-control purifications, but many small-scale AP-MS studies do not capture a complete, accurate background protein set when available controls are limited. Fortunately, negative controls are largely bait independent. Hence, aggregating negative controls from multiple AP-MS studies can increase coverage and improve the characterization of background associated with a given experimental protocol. Here we present the contaminant repository for affinity purification (the CRAPome) and describe its use for scoring protein-protein interactions. The repository (currently available for Homo sapiens and Saccharomyces cerevisiae) and computational tools are freely accessible at http://www.crapome.org/.
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Affiliation(s)
- Dattatreya Mellacheruvu
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Zachary Wright
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Amber L. Couzens
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Jean-Philippe Lambert
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Nicole St-Denis
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Tuo Li
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Yana V. Miteva
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Simon Hauri
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | | | - Teck Yew Low
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Vincentius A. Halim
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
- Division of Cell Biology, Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Richard D. Bagshaw
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Nina C. Hubner
- Department of Molecular Biology; Faculty of Science; Nijmegen Centre for Molecular Life Sciences; Radboud University; Nijmegen, The Netherlands
| | - Abdallah al-Hakim
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Annie Bouchard
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, Canada
| | - Denis Faubert
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, Canada
| | - Damian Fermin
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Wade H. Dunham
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Marilyn Goudreault
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Zhen-Yuan Lin
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Beatriz Gonzalez Badillo
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
| | - Tony Pawson
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Daniel Durocher
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Benoit Coulombe
- Institut de recherches cliniques de Montréal (IRCM), Montréal, QC, Canada
- Department of Biochemistry, Université de Montréal, Montréal, QC, Canada
| | - Ruedi Aebersold
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Giulio Superti-Furga
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Jacques Colinge
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Albert J. R. Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Hyungwon Choi
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Matthias Gstaiger
- Department of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Shabaz Mohammed
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Ileana M. Cristea
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Keiryn L. Bennett
- CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna, Austria
| | - Mike P. Washburn
- Stowers Institute for Medical Research, Kansas City, MO, USA
- Department of Pathology & Laboratory Medicine, University of Kansas Medical Center, Kansas City, KS 66160, USA
| | - Brian Raught
- Ontario Cancer Institute, Toronto, ON, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
| | - Rob M. Ewing
- Center for Proteomics and Bioinformatics, Case Western Reserve University, Cleveland, OH, USA
- Department of Genetics and Genome Science, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Anne-Claude Gingras
- Centre for Systems Biology, Samuel Lunenfeld Research Institute at Mount Sinai Hospital, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Alexey I. Nesvizhskii
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
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19
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Varjosalo M, Sacco R, Stukalov A, van Drogen A, Planyavsky M, Hauri S, Aebersold R, Bennett KL, Colinge J, Gstaiger M, Superti-Furga G. Interlaboratory reproducibility of large-scale human protein-complex analysis by standardized AP-MS. Nat Methods 2013; 10:307-14. [DOI: 10.1038/nmeth.2400] [Citation(s) in RCA: 160] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2012] [Accepted: 01/29/2013] [Indexed: 12/19/2022]
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20
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Gander S, Martin D, Hauri S, Moes S, Poletto G, Pagano MA, Marin O, Meggio F, Jenoe P. A Modified KESTREL Search Reveals a Basophilic Substrate Consensus for the Saccharomyces cerevisiae Npr1 Protein Kinase. J Proteome Res 2009; 8:5305-16. [DOI: 10.1021/pr9005469] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Affiliation(s)
- Stefan Gander
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Dietmar Martin
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Simon Hauri
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Suzette Moes
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Giorgia Poletto
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Mario A. Pagano
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Oriano Marin
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Flavio Meggio
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
| | - Paul Jenoe
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland, Gene Center, Department of Chemistry and Biochemistry, Ludwig-Maximilians-University, 81377 München, Germany, and Department of Biological Chemistry, University of Padova, Viale G. Colombo, 3, I-35121 Padova, Italy
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Hauri S, Finsler S, Walliser U. Clinical findings and treatment of aseptic necrosis of the proximal sesamoid bones in an Icelandic pony. PFERDEHEILKUNDE 2009. [DOI: 10.21836/pem20090108] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Gander S, Bonenfant D, Altermatt P, Martin DE, Hauri S, Moes S, Hall MN, Jenoe P. Identification of the rapamycin-sensitive phosphorylation sites within the Ser/Thr-rich domain of the yeast Npr1 protein kinase. Rapid Commun Mass Spectrom 2008; 22:3743-3753. [PMID: 18980262 DOI: 10.1002/rcm.3790] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/27/2023]
Abstract
The Saccharomyces cerevisae nitrogen permease reactivator Npr1 is a hyperphosphorylated protein that belongs to a fungus-specific family of Ser/Thr protein kinases dedicated to the regulation of plasma membrane transporters. Its activity is regulated by the TOR (target of rapamycin) signalling pathway. Inhibition of the TOR proteins by treating yeast cells with the immunosuppressant drug rapamycin promotes rapid dephosphorylation of Npr1. To identify the rapamycin-sensitive phosphorylation sites in yeast Npr1, glutathione-S-transferase (GST)-tagged Npr1 was isolated from untreated or rapamycin-treated cells, and analyzed by mass spectrometry. Here, we report for the first time 22 phosphorylation sites that are clustered in two regions of the N-terminal serine-rich domain. All phosphorylation sites, except two, were found to be rapamycin-sensitive. Some phosphorylation sites are contained in motifs that closely resemble those in mammalian S6K (serines followed by a tyrosine or a phenylalanine) and 4E-BP1 (serines followed by a proline). Other sites, such as serines followed by Ala, Asn, Gln, His, Ile, Leu, or Val, appear to define new motifs. Thus, TOR controls an unusually broad array of phosphorylation sites in Npr1. In addition to phosphorylation by upstream kinases, Npr1 undergoes autophosphorylation that was mapped to three distinct serines in the N-terminal domain of which Ser257 appears to be the main autophosphorylation site. Site-directed mutagenesis confirmed the mass spectral assignments of the autophosphorylation sites and shows that Ser257 is specifically involved in forming an in vitro substrate-binding site.
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Affiliation(s)
- Stefan Gander
- Department of Biochemistry, Biozentrum of the University of Basel, Klingelbergstrasse 50-70, CH-4056 Basel, Switzerland
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Hauri S, Kihm U, Ehrensperger F, Braun U. Evaluation des BSE-Checks bei weiteren 53 Kühen mit BSE. Tierarztl Prax Ausg G Grosstiere Nutztiere 2007. [DOI: 10.1055/s-0038-1624012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Zusammenfassung:
Gegenstand und Ziel: Beschreibung der klinischen Befunde bei 53 Kühen mit BSE. Material und Methoden: Untersuchung der Kühe mithilfe des BSE-Checks. Ergebnisse: Eine Kuh, die über ein halbes Jahr Verhaltens- und Bewegungsstörungen gezeigt hatte, befand sich im Endstadium der Erkrankung und lag fest. Sie war stuporös und reagierte nicht auf äußere Einflüsse wie Berührung, Lärm und Licht. Die übrigen 52 Kühe zeigten Verhaltensstörungen im Sinne übermäßiger Erregung wie Ängstlichkeit, Schreckhaftigkeit, Nervosität/ Unruhe, Zähneknirschen, Tremor, Speicheln, vermehrtes Belecken des Flotzmauls, vermehrte Abwehrbereitschaft, Flehmen, Glotzaugen und Brüllen. Die Sensibilitätsstörungen äußerten sich in abnehmender Reihenfolge auf Berührung am Kopf mit dem Kugelschreiber (50 Kühe), Lärm (47), Fotoblitz (46), Licht (44) und Berührung der Hinterbeine mit einem Besen (15). Zweiundfünfzig Kühe reagierten auf mindestens eine der Proben überempfindlich. Eine Kuh zeigte bei allen Proben eine hochgradige Überreaktion. Die Bewegung konnte nur bei 43 von 53 Kühen beurteilt werden, da 10 Tiere bereits festlagen. Drei Kühe zeigten beim Vorführen einen normalen Gang, 17 Kühe eine Nachhandataxie und 23 Kühe eine generalisierte Ataxie. Beim anschließenden Freilaufenlassen war auch bei den vorher nicht ataktischen drei Kühen eine leichte Ataxie zu erkennen. Als Besonderheiten wiesen fünf Kühe eine Hypermetrie der Nachhand, neun Tiere ein hahnentrittartiges Zucken einer Hintergliedmaße und 10 Kühe Passgang auf. Weitere abnorme Befunde konnten beim Führen über den Kotgraben des Lagers oder den Spalt der Brückenwaage, beim Durchqueren einer Türöffnung und beim Überschreiten einer am Boden liegenden Stange beobachtet werden. Schlussfolgerung: Durch die gezielte klinische Untersuchung auf BSE zeigen sich viele Facetten des Krankheitsbildes, die bei alleiniger Beobachtung nicht zu erkennen sind. Klinische Relevanz: Die klinische Untersuchung stellt immer noch die beste Methode dar, um Kühe mit BSE zu identifizieren.
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Braun U, Gerspach C, Ryhner T, Hauri S. Pacing as a clinical sign in cattle with bovine spongiform encephalopathy. Vet Rec 2004; 155:420-2. [PMID: 15508842 DOI: 10.1136/vr.155.14.420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- U Braun
- Department of Farm Animals, University of Zurich, Winterthurerstrasse 260, CH-8057 Zurich, Switzerland
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