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Unger Avila P, Padvitski T, Leote AC, Chen H, Saez-Rodriguez J, Kann M, Beyer A. Gene regulatory networks in disease and ageing. Nat Rev Nephrol 2024; 20:616-633. [PMID: 38867109 DOI: 10.1038/s41581-024-00849-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/15/2024] [Indexed: 06/14/2024]
Abstract
The precise control of gene expression is required for the maintenance of cellular homeostasis and proper cellular function, and the declining control of gene expression with age is considered a major contributor to age-associated changes in cellular physiology and disease. The coordination of gene expression can be represented through models of the molecular interactions that govern gene expression levels, so-called gene regulatory networks. Gene regulatory networks can represent interactions that occur through signal transduction, those that involve regulatory transcription factors, or statistical models of gene-gene relationships based on the premise that certain sets of genes tend to be coexpressed across a range of conditions and cell types. Advances in experimental and computational technologies have enabled the inference of these networks on an unprecedented scale and at unprecedented precision. Here, we delineate different types of gene regulatory networks and their cell-biological interpretation. We describe methods for inferring such networks from large-scale, multi-omics datasets and present applications that have aided our understanding of cellular ageing and disease mechanisms.
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Affiliation(s)
- Paula Unger Avila
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Tsimafei Padvitski
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - Ana Carolina Leote
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
| | - He Chen
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany
- Department II of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Julio Saez-Rodriguez
- Faculty of Medicine and Heidelberg University Hospital, Institute for Computational Biomedicine, Heidelberg University, Heidelberg, Germany
| | - Martin Kann
- Department II of Internal Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Andreas Beyer
- Cluster of Excellence on Cellular Stress Responses in Aging-associated Diseases (CECAD), University of Cologne, Cologne, Germany.
- Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
- Institute for Genetics, Faculty of Mathematics and Natural Sciences, University of Cologne, Cologne, Germany.
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Paulke NJ, Fleischhacker C, Wegener JB, Riedemann GC, Cretu C, Mushtaq M, Zaremba N, Möbius W, Zühlke Y, Wedemeyer J, Liebmann L, Gorshkova AA, Kownatzki-Danger D, Wagner E, Kohl T, Wichmann C, Jahn O, Urlaub H, Toischer K, Hasenfuß G, Moser T, Preobraschenski J, Lenz C, Rog-Zielinska EA, Lehnart SE, Brandenburg S. Dysferlin Enables Tubular Membrane Proliferation in Cardiac Hypertrophy. Circ Res 2024; 135:554-574. [PMID: 39011635 DOI: 10.1161/circresaha.124.324588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 07/05/2024] [Accepted: 07/08/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Cardiac hypertrophy compensates for increased biomechanical stress of the heart induced by prevalent cardiovascular pathologies but can result in heart failure if left untreated. Here, we hypothesized that the membrane fusion and repair protein dysferlin is critical for the integrity of the transverse-axial tubule (TAT) network inside cardiomyocytes and contributes to the proliferation of TAT endomembranes during pressure overload-induced cardiac hypertrophy. METHODS Stimulated emission depletion and electron microscopy were used to localize dysferlin in mouse and human cardiomyocytes. Data-independent acquisition mass spectrometry revealed the cardiac dysferlin interactome and proteomic changes of the heart in dysferlin-knockout mice. After transverse aortic constriction, we compared the hypertrophic response of wild-type versus dysferlin-knockout hearts and studied TAT network remodeling mechanisms inside cardiomyocytes by live-cell membrane imaging. RESULTS We localized dysferlin in a vesicular compartment in nanometric proximity to contact sites of the TAT network with the sarcoplasmic reticulum, a.k.a. junctional complexes for Ca2+-induced Ca2+ release. Interactome analyses demonstrated a novel protein interaction of dysferlin with the membrane-tethering sarcoplasmic reticulum protein juncophilin-2, a putative interactor of L-type Ca2+ channels and ryanodine receptor Ca2+ release channels in junctional complexes. Although the dysferlin-knockout caused a mild progressive phenotype of dilated cardiomyopathy, global proteome analysis revealed changes preceding systolic failure. Following transverse aortic constriction, dysferlin protein expression was significantly increased in hypertrophied wild-type myocardium, while dysferlin-knockout animals presented markedly reduced left-ventricular hypertrophy. Live-cell membrane imaging showed a profound reorganization of the TAT network in wild-type left-ventricular myocytes after transverse aortic constriction with robust proliferation of axial tubules, which critically depended on the increased expression of dysferlin within newly emerging tubule components. CONCLUSIONS Dysferlin represents a new molecular target in cardiac disease that protects the integrity of tubule-sarcoplasmic reticulum junctional complexes for regulated excitation-contraction coupling and controls TAT network reorganization and tubular membrane proliferation in cardiomyocyte hypertrophy induced by pressure overload.
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Affiliation(s)
- Nora Josefine Paulke
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Carolin Fleischhacker
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Justus B Wegener
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Gabriel C Riedemann
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Constantin Cretu
- Biochemistry of Membrane Dynamics Group, Institute for Auditory Neuroscience and InnerEarLab (C.C., J.P.), University Medical Center Göttingen, Germany
| | - Mufassra Mushtaq
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Nina Zaremba
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Wiebke Möbius
- Department of Neurogenetics, Electron Microscopy, City Campus (W.M.)
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
| | - Yannik Zühlke
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Jasper Wedemeyer
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Lorenz Liebmann
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Anastasiia A Gorshkova
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Daniel Kownatzki-Danger
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Now with Institute of Transfusion Medicine, University Hospital Schleswig-Holstein; Kiel, Germany (D.K.-D)
| | - Eva Wagner
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Tobias Kohl
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
| | - Carolin Wichmann
- Molecular Architecture of Synapses Group, Institute for Auditory Neuroscience and InnerEarLab and Center for Biostructural Imaging of Neurodegeneration (C.W.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
| | - Olaf Jahn
- Translational Neuroproteomics Group, Department of Psychiatry and Psychotherapy (O.J.), University Medical Center Göttingen, Germany
- Neuroproteomics Group, Department of Molecular Neurobiology (O.J.)
| | - Henning Urlaub
- Department of Clinical Chemistry (H.U., C.L.), University Medical Center Göttingen, Germany
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany (H.U., C.L.)
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
| | - Karl Toischer
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Germany (K.T., G.H., S.E.L.)
| | - Gerd Hasenfuß
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Germany (K.T., G.H., S.E.L.)
| | - Tobias Moser
- Institute for Auditory Neuroscience and InnerEarLab (T.M.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
| | - Julia Preobraschenski
- Biochemistry of Membrane Dynamics Group, Institute for Auditory Neuroscience and InnerEarLab (C.C., J.P.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
| | - Christof Lenz
- Department of Clinical Chemistry (H.U., C.L.), University Medical Center Göttingen, Germany
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany (H.U., C.L.)
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
| | - Eva A Rog-Zielinska
- Institute for Experimental Cardiovascular Medicine, University Heart Center and Faculty of Medicine, University of Freiburg, Germany (E.A.R.-Z.)
| | - Stephan E Lehnart
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
- DZHK (German Centre for Cardiovascular Research), Partner Site Göttingen, Germany (K.T., G.H., S.E.L.)
| | - Sören Brandenburg
- Department of Cardiology and Pneumology (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., K.T., G.H., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cellular Biophysics and Translational Cardiology Section, Heart Research Center (N.J.P., C.F., J.B.W., G.C.R., M.M., N.Z., Y.Z., J.W., L.L., A.A.G., D.K.-D., E.W., T.K., S.E.L., S.B.), University Medical Center Göttingen, Germany
- Cluster of Excellence "Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells" (MBExC), University of Göttingen, Germany (W.M., C.W., H.U., K.T., G.H., T.M., J.P., C.L., S.E.L., S.B.)
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3
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Lancaster NM, Sinitcyn P, Forny P, Peters-Clarke TM, Fecher C, Smith AJ, Shishkova E, Arrey TN, Pashkova A, Robinson ML, Arp N, Fan J, Hansen J, Galmozzi A, Serrano LR, Rojas J, Gasch AP, Westphall MS, Stewart H, Hock C, Damoc E, Pagliarini DJ, Zabrouskov V, Coon JJ. Fast and deep phosphoproteome analysis with the Orbitrap Astral mass spectrometer. Nat Commun 2024; 15:7016. [PMID: 39147754 PMCID: PMC11327265 DOI: 10.1038/s41467-024-51274-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Accepted: 08/02/2024] [Indexed: 08/17/2024] Open
Abstract
Owing to its roles in cellular signal transduction, protein phosphorylation plays critical roles in myriad cell processes. That said, detecting and quantifying protein phosphorylation has remained a challenge. We describe the use of a novel mass spectrometer (Orbitrap Astral) coupled with data-independent acquisition (DIA) to achieve rapid and deep analysis of human and mouse phosphoproteomes. With this method, we map approximately 30,000 unique human phosphorylation sites within a half-hour of data collection. The technology is benchmarked to other state-of-the-art MS platforms using both synthetic peptide standards and with EGF-stimulated HeLa cells. We apply this approach to generate a phosphoproteome multi-tissue atlas of the mouse. Altogether, we detect 81,120 unique phosphorylation sites within 12 hours of measurement. With this unique dataset, we examine the sequence, structural, and kinase specificity context of protein phosphorylation. Finally, we highlight the discovery potential of this resource with multiple examples of phosphorylation events relevant to mitochondrial and brain biology.
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Affiliation(s)
- Noah M Lancaster
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Patrick Forny
- Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Caroline Fecher
- Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew J Smith
- Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Evgenia Shishkova
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- National Center for Quantitative Biology of Complex Systems, Madison, WI, USA
| | | | - Anna Pashkova
- Thermo Fisher Scientific (Bremen) GmbH, Bremen, Germany
| | - Margaret Lea Robinson
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Nicholas Arp
- Morgridge Institute for Research, Madison, WI, USA
- Cellular and Molecular Biology Graduate Program, University of Wisconsin-Madison, Madison, WI, USA
| | - Jing Fan
- Morgridge Institute for Research, Madison, WI, USA
- Cellular and Molecular Biology Graduate Program, University of Wisconsin-Madison, Madison, WI, USA
- Department of Nutritional Sciences, University of Wisconsin-Madison, Madison, WI, USA
| | - Juli Hansen
- Department of Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA
| | - Andrea Galmozzi
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Medicine, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI, USA
- University of Wisconsin Carbone Cancer Center, University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA
| | - Lia R Serrano
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Julie Rojas
- Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI, USA
| | - Audrey P Gasch
- Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI, USA
- Great Lakes Bioenergy Research Center, University of Wisconsin-Madison, Madison, WI, USA
- Laboratory of Genetics, University of Wisconsin-Madison, Madison, WI, USA
| | - Michael S Westphall
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- National Center for Quantitative Biology of Complex Systems, Madison, WI, USA
| | | | | | - Eugen Damoc
- Thermo Fisher Scientific (Bremen) GmbH, Bremen, Germany
| | - David J Pagliarini
- Department of Cell Biology and Physiology, Washington University School of Medicine, St. Louis, MO, USA
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO, USA
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Joshua J Coon
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
- Department of Biomolecular Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
- Morgridge Institute for Research, Madison, WI, USA.
- National Center for Quantitative Biology of Complex Systems, Madison, WI, USA.
- Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI, USA.
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Oliinyk D, Will A, Schneidmadel FR, Böhme M, Rinke J, Hochhaus A, Ernst T, Hahn N, Geis C, Lubeck M, Raether O, Humphrey SJ, Meier F. µPhos: a scalable and sensitive platform for high-dimensional phosphoproteomics. Mol Syst Biol 2024; 20:972-995. [PMID: 38907068 PMCID: PMC11297287 DOI: 10.1038/s44320-024-00050-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 06/06/2024] [Accepted: 06/11/2024] [Indexed: 06/23/2024] Open
Abstract
Mass spectrometry has revolutionized cell signaling research by vastly simplifying the analysis of many thousands of phosphorylation sites in the human proteome. Defining the cellular response to perturbations is crucial for further illuminating the functionality of the phosphoproteome. Here we describe µPhos ('microPhos'), an accessible phosphoproteomics platform that permits phosphopeptide enrichment from 96-well cell culture and small tissue amounts in <8 h total processing time. By greatly minimizing transfer steps and liquid volumes, we demonstrate increased sensitivity, >90% selectivity, and excellent quantitative reproducibility. Employing highly sensitive trapped ion mobility mass spectrometry, we quantify ~17,000 Class I phosphosites in a human cancer cell line using 20 µg starting material, and confidently localize ~6200 phosphosites from 1 µg. This depth covers key signaling pathways, rendering sample-limited applications and perturbation experiments with hundreds of samples viable. We employ µPhos to study drug- and time-dependent response signatures in a leukemia cell line, and by quantifying 30,000 Class I phosphosites in the mouse brain we reveal distinct spatial kinase activities in subregions of the hippocampal formation.
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Affiliation(s)
- Denys Oliinyk
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
| | - Andreas Will
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
| | - Felix R Schneidmadel
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
| | - Maximilian Böhme
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Jenny Rinke
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Andreas Hochhaus
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Thomas Ernst
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany
- Klinik für Innere Medizin II, Jena University Hospital, 07747, Jena, Germany
| | - Nina Hahn
- Section of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, 07747, Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, 07747, Jena, Germany
| | - Christian Geis
- Section of Translational Neuroimmunology, Department of Neurology, Jena University Hospital, 07747, Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, 07747, Jena, Germany
| | - Markus Lubeck
- Bruker Daltonics GmbH & Co. KG, 28359, Bremen, Germany
| | | | - Sean J Humphrey
- Murdoch Children's Research Institute, Royal Children's Hospital, Parkville, 3052, Victoria, Australia.
| | - Florian Meier
- Functional Proteomics, Jena University Hospital, 07747, Jena, Germany.
- Comprehensive Cancer Center Central Germany, 07747, Jena, Germany.
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5
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Rice SJ, Belani CP. Characterization of effective, simple, and low-cost precipitation methods for depleting abundant plasma proteins to enhance the depth and breadth of plasma proteomics. Proteomics 2024; 24:e2400071. [PMID: 38700387 DOI: 10.1002/pmic.202400071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/17/2024] [Accepted: 04/18/2024] [Indexed: 05/05/2024]
Abstract
Plasma is an abundant source of proteins and potential biomarkers to aid in the detection, diagnosis, and prognosis of human diseases. These proteins are often present at low levels in the blood and difficult to identify and measure due to the large dynamic range of proteins. The goal of this work was to characterize and compare various protein precipitation methods related to how they affect the depth and breadth of plasma proteomic studies. Abundant protein precipitation with perchloric acid (PerCA) can increase protein identifications and depth of plasma proteomic studies. Three acid- and four solvent-based precipitation methods were evaluated. All methods tested provided excellent plasma proteomic coverage (>600 identified protein groups) and detected protein in the low pg/mL range. Functional enrichment analysis revealed subtle differences within and larger changes between the precipitant groups. Methanol-based precipitation outperformed the other methods based on identifications and reproducibility. The methods' performance was verified using eight lung cancer patient samples, where >700 protein groups were measured and proteins with an estimated plasma concentration of ∼10 pg/mL were detected. Various protein precipitation agents are amenable to extending the depth and breadth of plasma proteomes. These data can guide investigators to implement inexpensive, high-throughput methods for their plasma proteomic workflows.
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Affiliation(s)
- Shawn J Rice
- Penn State Cancer Institute, Penn State College of Medicine, Hershey, Pennsylvania, USA
| | - Chandra P Belani
- Penn State Cancer Institute, Penn State College of Medicine, Hershey, Pennsylvania, USA
- Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania, USA
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6
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Romero-Pérez PS, Moran HM, Horani A, Truong A, Manriquez-Sandoval E, Ramirez JF, Martinez A, Gollub E, Hunter K, Lotthammer JM, Emenecker RJ, Boothby TC, Holehouse AS, Fried SD, Sukenik S. Protein surface chemistry encodes an adaptive resistance to desiccation. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.07.28.604841. [PMID: 39131385 PMCID: PMC11312438 DOI: 10.1101/2024.07.28.604841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
Cellular desiccation - the loss of nearly all water from the cell - is a recurring stress in an increasing number of ecosystems that can drive proteome-wide protein unfolding and aggregation. For cells to survive this stress, at least some of the proteome must disaggregate and resume function upon rehydration. The molecular determinants that underlie the ability of proteins to do this remain largely unknown. Here, we apply quantitative and structural proteomic mass spectrometry to desiccated and rehydrated yeast extracts to show that some proteins possess an innate capacity to survive extreme water loss. Structural analysis correlates the ability of proteins to resist desiccation with their surface chemistry. Remarkably, highly resistant proteins are responsible for the production of the cell's building blocks - amino acids, metabolites, and sugars. Conversely, those proteins that are most desiccation-sensitive are involved in ribosome biogenesis and other energy consuming processes. As a result, the rehydrated proteome is preferentially enriched with metabolite and small molecule producers and depleted of some of the cell's heaviest consumers. We propose this functional bias enables cells to kickstart their metabolism and promote cell survival following desiccation and rehydration.
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Affiliation(s)
| | - Haley M. Moran
- Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Azeem Horani
- Quantitative and Systems Biology Program, University of California Merced, Merced, CA 95343, USA
| | - Alexander Truong
- Dept of Chemistry and Biochemistry, University of California Merced, Merced, CA 95343, USA
| | - Edgar Manriquez-Sandoval
- T. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - John F. Ramirez
- Department of Molecular Biology, University of Wyoming, Laramie, WY 82071, USA
| | - Alec Martinez
- Dept of Chemistry and Biochemistry, University of California Merced, Merced, CA 95343, USA
| | - Edith Gollub
- Dept of Chemistry and Biochemistry, University of California Merced, Merced, CA 95343, USA
| | - Kara Hunter
- Dept of Chemistry and Biochemistry, University of California Merced, Merced, CA 95343, USA
| | - Jeffrey M. Lotthammer
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Biomolecular Condensates (CBC), Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Ryan J. Emenecker
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Biomolecular Condensates (CBC), Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Thomas C. Boothby
- Department of Molecular Biology, University of Wyoming, Laramie, WY 82071, USA
| | - Alex S. Holehouse
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA
- Center for Biomolecular Condensates (CBC), Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Stephen D. Fried
- Department of Chemistry, Johns Hopkins University, Baltimore, Maryland 21218, USA
- T. C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland 21218, USA
| | - Shahar Sukenik
- Dept of Chemistry and Biochemistry, University of California Merced, Merced, CA 95343, USA
- Quantitative and Systems Biology Program, University of California Merced, Merced, CA 95343, USA
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7
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Tsukidate T, Stiving AQ, Rivera S, Sahoo A, Madabhushi S, Li X. diaPASEF Enables High-Throughput Proteomic Analysis of Host Cell Proteins for Biopharmaceutical Process Development. Anal Chem 2024. [PMID: 39060242 DOI: 10.1021/acs.analchem.4c00977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/28/2024]
Abstract
Monitoring and quantifying host cell proteins (HCPs) in biotherapeutic production processes is crucial to ensure product quality, stability, and safety. Liquid chromatography-mass spectrometry (LC-MS) analysis has emerged as an important tool for identifying and quantifying individual HCPs. However, LC-MS-based approaches face challenges due to the wide dynamic range between HCPs and the therapeutic protein as well as laborious sample preparation and long instrument time. To address these limitations, we evaluated the application of parallel accumulation-serial fragmentation combined with data-independent acquisition (diaPASEF) to HCP analysis for biopharmaceutical process development applications. We evaluated different library generation strategies and LC methods, demonstrating the suitability of these workflows for various HCP analysis needs, such as in-depth characterization and high-throughput analysis of process intermediates. Remarkably, the diaPASEF approach enabled the quantification of hundreds of HCPs that were undetectable by a standard data-dependent acquisition mode while considerably improving sample requirement, throughput, coverage, quantitative precision, and data completeness.
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Affiliation(s)
- Taku Tsukidate
- Analytical Research & Development Mass Spectrometry, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, New Jersey 07065, United States
| | - Alyssa Q Stiving
- Analytical Research & Development Mass Spectrometry, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, New Jersey 07065, United States
| | - Shannon Rivera
- Analytical Research & Development Mass Spectrometry, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, New Jersey 07065, United States
| | - Ansuman Sahoo
- Biologics Process Research & Development, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, New Jersey 07065, United States
| | - Sri Madabhushi
- Biologics Process Research & Development, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, New Jersey 07065, United States
| | - Xuanwen Li
- Analytical Research & Development Mass Spectrometry, Merck & Co., Inc., 126 East Lincoln Avenue, Rahway, New Jersey 07065, United States
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8
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Kruk ME, Mehta S, Murray K, Higgins L, Do K, Johnson JE, Wagner R, Wendt CH, O’Connor JB, Harris JK, Laguna TA, Jagtap PD, Griffin TJ. An integrated metaproteomics workflow for studying host-microbe dynamics in bronchoalveolar lavage samples applied to cystic fibrosis disease. mSystems 2024; 9:e0092923. [PMID: 38934598 PMCID: PMC11264604 DOI: 10.1128/msystems.00929-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 05/13/2024] [Indexed: 06/28/2024] Open
Abstract
Airway microbiota are known to contribute to lung diseases, such as cystic fibrosis (CF), but their contributions to pathogenesis are still unclear. To improve our understanding of host-microbe interactions, we have developed an integrated analytical and bioinformatic mass spectrometry (MS)-based metaproteomics workflow to analyze clinical bronchoalveolar lavage (BAL) samples from people with airway disease. Proteins from BAL cellular pellets were processed and pooled together in groups categorized by disease status (CF vs. non-CF) and bacterial diversity, based on previously performed small subunit rRNA sequencing data. Proteins from each pooled sample group were digested and subjected to liquid chromatography tandem mass spectrometry (MS/MS). MS/MS spectra were matched to human and bacterial peptide sequences leveraging a bioinformatic workflow using a metagenomics-guided protein sequence database and rigorous evaluation. Label-free quantification revealed differentially abundant human peptides from proteins with known roles in CF, like neutrophil elastase and collagenase, and proteins with lesser-known roles in CF, including apolipoproteins. Differentially abundant bacterial peptides were identified from known CF pathogens (e.g., Pseudomonas), as well as other taxa with potentially novel roles in CF. We used this host-microbe peptide panel for targeted parallel-reaction monitoring validation, demonstrating for the first time an MS-based assay effective for quantifying host-microbe protein dynamics within BAL cells from individual CF patients. Our integrated bioinformatic and analytical workflow combining discovery, verification, and validation should prove useful for diverse studies to characterize microbial contributors in airway diseases. Furthermore, we describe a promising preliminary panel of differentially abundant microbe and host peptide sequences for further study as potential markers of host-microbe relationships in CF disease pathogenesis.IMPORTANCEIdentifying microbial pathogenic contributors and dysregulated human responses in airway disease, such as CF, is critical to understanding disease progression and developing more effective treatments. To this end, characterizing the proteins expressed from bacterial microbes and human host cells during disease progression can provide valuable new insights. We describe here a new method to confidently detect and monitor abundance changes of both microbe and host proteins from challenging BAL samples commonly collected from CF patients. Our method uses both state-of-the art mass spectrometry-based instrumentation to detect proteins present in these samples and customized bioinformatic software tools to analyze the data and characterize detected proteins and their association with CF. We demonstrate the use of this method to characterize microbe and host proteins from individual BAL samples, paving the way for a new approach to understand molecular contributors to CF and other diseases of the airway.
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Affiliation(s)
- Monica E. Kruk
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
| | - Subina Mehta
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
| | - Kevin Murray
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
- Center for Metabolomics and Proteomics, University of Minnesota, Minneapolis, Minnesota, USA
| | - LeeAnn Higgins
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
- Center for Metabolomics and Proteomics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Katherine Do
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
| | - James E. Johnson
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota, USA
| | - Reid Wagner
- Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota, USA
| | - Chris H. Wendt
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
- Minneapolis VA Health Care System, Minneapolis, Minnesota, USA
| | - John B. O’Connor
- Department of Pediatrics, Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
| | - J. Kirk Harris
- Department of Pediatrics, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Theresa A. Laguna
- Department of Pediatrics, Division of Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, Washington, USA
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA
| | - Pratik D. Jagtap
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
| | - Timothy J. Griffin
- Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, Minneapolis, Minnesota, USA
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9
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Humphries EM, Xavier D, Ashman K, Hains PG, Robinson PJ. High-Throughput Proteomics and Phosphoproteomics of Rat Tissues Using Microflow Zeno SWATH. J Proteome Res 2024; 23:2355-2366. [PMID: 38819404 DOI: 10.1021/acs.jproteome.4c00010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
High-throughput tissue proteomics has great potential in the advancement of precision medicine. Here, we investigated the combined sensitivity of trap-elute microflow liquid chromatography with a ZenoTOF for DIA proteomics and phosphoproteomics. Method optimization was conducted on HEK293T cell lines to determine the optimal variable window size, MS2 accumulation time and gradient length. The ZenoTOF 7600 was then compared to the previous generation TripleTOF 6600 using eight rat organs, finding up to 23% more proteins using a fifth of the sample load and a third of the instrument time. Spectral reference libraries generated from Zeno SWATH data in FragPipe (MSFragger-DIA/DIA-NN) contained 4 times more fragment ions than the DIA-NN only library and quantified more proteins. Replicate single-shot phosphopeptide enrichments of 50-100 μg of rat tryptic peptide were analyzed by microflow HPLC using Zeno SWATH without fractionation. Using Spectronaut we quantified a shallow phosphoproteome containing 1000-3000 phosphoprecursors per organ. Promisingly, clear hierarchical clustering of organs was observed with high Pearson correlation coefficients >0.95 between replicate enrichments and median CV of 20%. The combined sensitivity of microflow HPLC with Zeno SWATH allows for the high-throughput quantitation of an extensive proteome and shallow phosphoproteome from small tissue samples.
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Affiliation(s)
- Erin M Humphries
- ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales 2145, Australia
| | - Dylan Xavier
- ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales 2145, Australia
| | - Keith Ashman
- Sciex, 96 Ricketts Road,Mount Waverley, Victoria 3149, Australia
| | - Peter G Hains
- ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales 2145, Australia
| | - Phillip J Robinson
- ProCan®, Children's Medical Research Institute, Faculty of Medicine and Health, The University of Sydney, Westmead, New South Wales 2145, Australia
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10
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Kverneland AH, Harking F, Vej-Nielsen JM, Huusfeldt M, Bekker-Jensen DB, Svane IM, Bache N, Olsen JV. Fully Automated Workflow for Integrated Sample Digestion and Evotip Loading Enabling High-Throughput Clinical Proteomics. Mol Cell Proteomics 2024; 23:100790. [PMID: 38777088 PMCID: PMC11251069 DOI: 10.1016/j.mcpro.2024.100790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 05/02/2024] [Accepted: 05/19/2024] [Indexed: 05/25/2024] Open
Abstract
Protein identification and quantification is an important tool for biomarker discovery. With the increased sensitivity and speed of modern mass spectrometers, sample preparation remains a bottleneck for studying large cohorts. To address this issue, we prepared and evaluated a simple and efficient workflow on the Opentrons OT-2 robot that combines sample digestion, cleanup, and loading on Evotips in a fully automated manner, allowing the processing of up to 192 samples in 6 h. Analysis of 192 automated HeLa cell sample preparations consistently identified ∼8000 protein groups and ∼130,000 peptide precursors with an 11.5 min active liquid chromatography gradient with the Evosep One and narrow-window data-independent acquisition (nDIA) with the Orbitrap Astral mass spectrometer providing a throughput of 100 samples per day. Our results demonstrate a highly sensitive workflow yielding both reproducibility and stability at low sample inputs. The workflow is optimized for minimal sample starting amount to reduce the costs for reagents needed for sample preparation, which is critical when analyzing large biological cohorts. Building on the digesting workflow, we incorporated an automated phosphopeptide enrichment step using magnetic titanium-immobilized metal ion affinity chromatography beads. This allows for a fully automated proteome and phosphoproteome sample preparation in a single step with high sensitivity. Using the integrated digestion and Evotip loading workflow, we evaluated the effects of cancer immune therapy on the plasma proteome in metastatic melanoma patients.
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Affiliation(s)
- Anders H Kverneland
- Faculty of Health Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark; Department of Oncology, National Center of Cancer Immune Therapy, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
| | - Florian Harking
- Faculty of Health Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | | | | | | | - Inge Marie Svane
- Department of Oncology, National Center of Cancer Immune Therapy, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark
| | | | - Jesper V Olsen
- Faculty of Health Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
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11
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Pham TV, Henneman AA, Truong NX, Jimenez CR. msproteomics sitereport: reporting DIA-MS phosphoproteomics experiments at site level with ease. Bioinformatics 2024; 40:btae432. [PMID: 38944032 PMCID: PMC11239223 DOI: 10.1093/bioinformatics/btae432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 06/07/2024] [Accepted: 06/28/2024] [Indexed: 07/01/2024] Open
Abstract
SUMMARY Identification and quantification of phosphorylation sites are essential for biological interpretation of a phosphoproteomics experiment. For data independent acquisition mass spectrometry-based (DIA-MS) phosphoproteomics, extracting a site-level report from the output of current processing software is not straightforward as multiple peptides might contribute to a single site, multiple phosphorylation sites can occur on the same peptides, and protein isoforms complicate site specification. Currently only limited support is available from a commercial software package via a platform-specific solution with a rather simple site quantification method. Here, we present sitereport, a software tool implemented in an extendable Python package called msproteomics to report phosphosites and phosphopeptides from a DIA-MS phosphoproteomics experiment with a proven quantification method called MaxLFQ. We demonstrate the use of sitereport for downstream data analysis at site level, allowing benchmarking different DIA-MS processing software tools. AVAILABILITY AND IMPLEMENTATION sitereport is available as a command line tool in the Python package msproteomics, released under the Apache License 2.0 and available from the Python Package Index (PyPI) at https://pypi.org/project/msproteomics and GitHub at https://github.com/tvpham/msproteomics.
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Affiliation(s)
- Thang V Pham
- Amsterdam UMC location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Alex A Henneman
- Amsterdam UMC location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
| | - Nam X Truong
- Thuyloi University, Faculty of Computer Science and Engineering, 175 Tay Son, Hanoi, Vietnam
| | - Connie R Jimenez
- Amsterdam UMC location Vrije Universiteit Amsterdam, OncoProteomics Laboratory, Medical Oncology, De Boelelaan 1117, Amsterdam, the Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, the Netherlands
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12
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Strongin Z, Raymond Marchand L, Deleage C, Pampena MB, Cardenas MA, Beusch CM, Hoang TN, Urban EA, Gourves M, Nguyen K, Tharp GK, Lapp S, Rahmberg AR, Harper J, Del Rio Estrada PM, Gonzalez-Navarro M, Torres-Ruiz F, Luna-Villalobos YA, Avila-Rios S, Reyes-Teran G, Sekaly R, Silvestri G, Kulpa DA, Saez-Cirion A, Brenchley JM, Bosinger SE, Gordon DE, Betts MR, Kissick HT, Paiardini M. Distinct SIV-specific CD8 + T cells in the lymph node exhibit simultaneous effector and stem-like profiles and are associated with limited SIV persistence. Nat Immunol 2024; 25:1245-1256. [PMID: 38886592 DOI: 10.1038/s41590-024-01875-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 05/14/2024] [Indexed: 06/20/2024]
Abstract
Human immunodeficiency virus (HIV) cure efforts are increasingly focused on harnessing CD8+ T cell functions, which requires a deeper understanding of CD8+ T cells promoting HIV control. Here we identifiy an antigen-responsive TOXhiTCF1+CD39+CD8+ T cell population with high expression of inhibitory receptors and low expression of canonical cytolytic molecules. Transcriptional analysis of simian immunodeficiency virus (SIV)-specific CD8+ T cells and proteomic analysis of purified CD8+ T cell subsets identified TOXhiTCF1+CD39+CD8+ T cells as intermediate effectors that retained stem-like features with a lineage relationship with terminal effector T cells. TOXhiTCF1+CD39+CD8+ T cells were found at higher frequency than TCF1-CD39+CD8+ T cells in follicular microenvironments and were preferentially located in proximity of SIV-RNA+ cells. Their frequency was associated with reduced plasma viremia and lower SIV reservoir size. Highly similar TOXhiTCF1+CD39+CD8+ T cells were detected in lymph nodes from antiretroviral therapy-naive and antiretroviral therapy-suppressed people living with HIV, suggesting this population of CD8+ T cells contributes to limiting SIV and HIV persistence.
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Affiliation(s)
- Zachary Strongin
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Laurence Raymond Marchand
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Claire Deleage
- AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - M Betina Pampena
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for AIDS Research and Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Christian Michel Beusch
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
| | - Timothy N Hoang
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Elizabeth A Urban
- AIDS and Cancer Virus Program, Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA
| | - Mael Gourves
- Institut Pasteur, Université Paris Cité, Viral Reservoirs and Immune Control Unit, Paris, France
- Institut Pasteur, Université Paris Cité, HIV Inflammation and Persistence Unit, Paris, France
| | - Kevin Nguyen
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Gregory K Tharp
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Stacey Lapp
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Andrew R Rahmberg
- Barrier Immunity Section, Laboratory of Viral Diseases, NIAIDNIH, Bethesda, MD, USA
| | - Justin Harper
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
| | - Perla M Del Rio Estrada
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Mauricio Gonzalez-Navarro
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Fernanda Torres-Ruiz
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Yara Andrea Luna-Villalobos
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Santiago Avila-Rios
- Centro de Investigación en Enfermedades Infecciosas, Instituto Nacional de Enfermedades Respiratorias, Mexico City, Mexico
| | - Gustavo Reyes-Teran
- Comision Coordinadora de los Institutos Nacionales de Salud y Hospitales de Alta Especialidad, Mexico City, Mexico
| | - Rafick Sekaly
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
- Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Guido Silvestri
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - Deanna A Kulpa
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Asier Saez-Cirion
- Institut Pasteur, Université Paris Cité, Viral Reservoirs and Immune Control Unit, Paris, France
- Institut Pasteur, Université Paris Cité, HIV Inflammation and Persistence Unit, Paris, France
| | - Jason M Brenchley
- Barrier Immunity Section, Laboratory of Viral Diseases, NIAIDNIH, Bethesda, MD, USA
| | - Steven E Bosinger
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
| | - David Ezra Gordon
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA
| | - Michael R Betts
- Department of Microbiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for AIDS Research and Institute for Immunology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Haydn T Kissick
- Department of Urology, Emory University School of Medicine, Atlanta, GA, USA
- Emory Vaccine Center, Emory University, Atlanta, GA, USA
- Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Mirko Paiardini
- Division of Microbiology and Immunology, Emory National Primate Research Center, Emory University, Atlanta, GA, USA.
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA, USA.
- Emory Vaccine Center, Emory University, Atlanta, GA, USA.
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13
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Fröhlich K, Fahrner M, Brombacher E, Seredynska A, Maldacker M, Kreutz C, Schmidt A, Schilling O. Data-Independent Acquisition: A Milestone and Prospect in Clinical Mass Spectrometry-Based Proteomics. Mol Cell Proteomics 2024; 23:100800. [PMID: 38880244 DOI: 10.1016/j.mcpro.2024.100800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Revised: 06/08/2024] [Accepted: 06/13/2024] [Indexed: 06/18/2024] Open
Abstract
Data-independent acquisition (DIA) has revolutionized the field of mass spectrometry (MS)-based proteomics over the past few years. DIA stands out for its ability to systematically sample all peptides in a given m/z range, allowing an unbiased acquisition of proteomics data. This greatly mitigates the issue of missing values and significantly enhances quantitative accuracy, precision, and reproducibility compared to many traditional methods. This review focuses on the critical role of DIA analysis software tools, primarily focusing on their capabilities and the challenges they address in proteomic research. Advances in MS technology, such as trapped ion mobility spectrometry, or high field asymmetric waveform ion mobility spectrometry require sophisticated analysis software capable of handling the increased data complexity and exploiting the full potential of DIA. We identify and critically evaluate leading software tools in the DIA landscape, discussing their unique features, and the reliability of their quantitative and qualitative outputs. We present the biological and clinical relevance of DIA-MS and discuss crucial publications that paved the way for in-depth proteomic characterization in patient-derived specimens. Furthermore, we provide a perspective on emerging trends in clinical applications and present upcoming challenges including standardization and certification of MS-based acquisition strategies in molecular diagnostics. While we emphasize the need for continuous development of software tools to keep pace with evolving technologies, we advise researchers against uncritically accepting the results from DIA software tools. Each tool may have its own biases, and some may not be as sensitive or reliable as others. Our overarching recommendation for both researchers and clinicians is to employ multiple DIA analysis tools, utilizing orthogonal analysis approaches to enhance the robustness and reliability of their findings.
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Affiliation(s)
- Klemens Fröhlich
- Proteomics Core Facility, Biozentrum Basel, University of Basel, Basel, Switzerland
| | - Matthias Fahrner
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany
| | - Eva Brombacher
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg, Germany; Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Adrianna Seredynska
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Maximilian Maldacker
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; Faculty of Biology, University of Freiburg, Freiburg, Germany
| | - Clemens Kreutz
- Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center-University of Freiburg, Freiburg, Germany; Centre for Integrative Biological Signaling Studies (CIBSS), University of Freiburg, Freiburg, Germany
| | - Alexander Schmidt
- Proteomics Core Facility, Biozentrum Basel, University of Basel, Basel, Switzerland
| | - Oliver Schilling
- Institute for Surgical Pathology, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany; German Cancer Consortium (DKTK) and Cancer Research Center (DKFZ), Freiburg, Germany.
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14
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Hermosilla-Trespaderne M, Hu-Yang MX, Dannoura A, Frey AM, George AL, Trost M, Marín-Rubio JL. Proteomic Analysis Reveals Trilaciclib-Induced Senescence. Mol Cell Proteomics 2024; 23:100778. [PMID: 38679389 PMCID: PMC11141265 DOI: 10.1016/j.mcpro.2024.100778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 03/13/2024] [Accepted: 04/24/2024] [Indexed: 05/01/2024] Open
Abstract
Trilaciclib, a cyclin-dependent kinase 4/6 inhibitor, was approved as a myeloprotective agent for protecting bone marrow from chemotherapy-induced damage in extensive-stage small cell lung cancer. This is achieved through the induction of a temporary halt in the cell cycle of bone marrow cells. While it has been studied in various cancer types, its potential in hematological cancers remains unexplored. This research aimed to investigate the efficacy of trilaciclib in hematological cancers. Utilizing mass spectrometry-based proteomics, we examined the alterations induced by trilaciclib in the chronic myeloid leukemia cell line, K562. Interestingly, trilaciclib promoted senescence in these cells rather than cell death, as observed in acute myeloid leukemia, acute lymphoblastic leukemia, and myeloma cells. In K562 cells, trilaciclib hindered cell cycle progression and proliferation by stabilizing cyclin-dependent kinase 4/6 and downregulating cell cycle-related proteins, along with the concomitant activation of autophagy pathways. Additionally, trilaciclib-induced senescence was also observed in the nonsmall cell lung carcinoma cell line, A549. These findings highlight trilaciclib's potential as a therapeutic option for hematological cancers and underscore the need to carefully balance senescence induction and autophagy modulation in chronic myeloid leukemia treatment, as well as in nonsmall cell lung carcinoma cell line.
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Affiliation(s)
- Marina Hermosilla-Trespaderne
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK; Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain
| | - Mark Xinchen Hu-Yang
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK; Faculty of Experimental Sciences, Universidad Francisco de Vitoria, Madrid, Spain
| | - Abeer Dannoura
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Andrew M Frey
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Amy L George
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK
| | - Matthias Trost
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK.
| | - José Luis Marín-Rubio
- Biosciences Institute, Newcastle University, Newcastle-upon-Tyne, UK; Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.
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15
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Peters-Clarke TM, Coon JJ, Riley NM. Instrumentation at the Leading Edge of Proteomics. Anal Chem 2024; 96:7976-8010. [PMID: 38738990 DOI: 10.1021/acs.analchem.3c04497] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Affiliation(s)
- Trenton M Peters-Clarke
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
| | - Joshua J Coon
- Department of Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Department of Biomolecular Chemistry, University of Wisconsin─Madison, Madison, Wisconsin 53706, United States
- Morgridge Institute for Research, Madison, Wisconsin 53715, United States
| | - Nicholas M Riley
- Department of Chemistry, University of Washington, Seattle, Washington 98195, United States
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16
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Lancaster NM, Sinitcyn P, Forny P, Peters-Clarke TM, Fecher C, Smith AJ, Shishkova E, Arrey TN, Pashkova A, Robinson ML, Arp N, Fan J, Hansen J, Galmozzi A, Serrano LR, Rojas J, Gasch AP, Westphall MS, Stewart H, Hock C, Damoc E, Pagliarini DJ, Zabrouskov V, Coon JJ. Fast and Deep Phosphoproteome Analysis with the Orbitrap Astral Mass Spectrometer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.21.568149. [PMID: 38045259 PMCID: PMC10690147 DOI: 10.1101/2023.11.21.568149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Owing to its roles in cellular signal transduction, protein phosphorylation plays critical roles in myriad cell processes. That said, detecting and quantifying protein phosphorylation has remained a challenge. We describe the use of a novel mass spectrometer (Orbitrap Astral) coupled with data-independent acquisition (DIA) to achieve rapid and deep analysis of human and mouse phosphoproteomes. With this method we map approximately 30,000 unique human phosphorylation sites within a half-hour of data collection. The technology was benchmarked to other state-of-the-art MS platforms using both synthetic peptide standards and with EGF-stimulated HeLa cells. We applied this approach to generate a phosphoproteome multi-tissue atlas of the mouse. Altogether, we detected 81,120 unique phosphorylation sites within 12 hours of measurement. With this unique dataset, we examine the sequence, structural, and kinase specificity context of protein phosphorylation. Finally, we highlight the discovery potential of this resource with multiple examples of novel phosphorylation events relevant to mitochondrial and brain biology.
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17
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Rrustemi T, Meyer K, Roske Y, Uyar B, Akalin A, Imami K, Ishihama Y, Daumke O, Selbach M. Pathogenic mutations of human phosphorylation sites affect protein-protein interactions. Nat Commun 2024; 15:3146. [PMID: 38605029 PMCID: PMC11009412 DOI: 10.1038/s41467-024-46794-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 03/11/2024] [Indexed: 04/13/2024] Open
Abstract
Despite their lack of a defined 3D structure, intrinsically disordered regions (IDRs) of proteins play important biological roles. Many IDRs contain short linear motifs (SLiMs) that mediate protein-protein interactions (PPIs), which can be regulated by post-translational modifications like phosphorylation. 20% of pathogenic missense mutations are found in IDRs, and understanding how such mutations affect PPIs is essential for unraveling disease mechanisms. Here, we employ peptide-based interaction proteomics to investigate 36 disease-associated mutations affecting phosphorylation sites. Our results unveil significant differences in interactomes between phosphorylated and non-phosphorylated peptides, often due to disrupted phosphorylation-dependent SLiMs. We focused on a mutation of a serine phosphorylation site in the transcription factor GATAD1, which causes dilated cardiomyopathy. We find that this phosphorylation site mediates interaction with 14-3-3 family proteins. Follow-up experiments reveal the structural basis of this interaction and suggest that 14-3-3 binding affects GATAD1 nucleocytoplasmic transport by masking a nuclear localisation signal. Our results demonstrate that pathogenic mutations of human phosphorylation sites can significantly impact protein-protein interactions, offering insights into potential molecular mechanisms underlying pathogenesis.
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Affiliation(s)
| | - Katrina Meyer
- Max Delbrück Center (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany
- Max Planck Institute for Molecular Genetics, Ihnestraße 63, 14195, Berlin, Germany
| | - Yvette Roske
- Max Delbrück Center (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany
| | - Bora Uyar
- Max Delbrück Center (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany
| | - Altuna Akalin
- Max Delbrück Center (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany
| | - Koshi Imami
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, 606-8501, Japan
- RIKEN Center for Integrative Medical Sciences, Yokohama, 230-0045, Kanagawa, Japan
| | - Yasushi Ishihama
- Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, 606-8501, Japan
| | - Oliver Daumke
- Max Delbrück Center (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany
- Freie Universität Berlin, Institute of Chemistry and Biochemistry, Takustraße 6, Berlin, Germany
| | - Matthias Selbach
- Max Delbrück Center (MDC), Robert-Rössle-Str. 10, 13125, Berlin, Germany.
- Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany.
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18
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DiStefano JK, Piras IS, Wu X, Sharma R, Garcia-Mansfield K, Willey M, Lovell B, Pirrotte P, Olson ML, Shaibi GQ. Changes in proteomic cargo of circulating extracellular vesicles in response to lifestyle intervention in adolescents with hepatic steatosis. Clin Nutr ESPEN 2024; 60:333-342. [PMID: 38479932 PMCID: PMC10937812 DOI: 10.1016/j.clnesp.2024.02.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 02/21/2024] [Accepted: 02/22/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND Recent studies suggest that proteomic cargo of extracellular vesicles (EVs) may play a role in metabolic improvements following lifestyle interventions. However, the relationship between changes in liver fat and circulating EV-derived protein cargo following intervention remains unexplored. METHODS The study cohort comprised 18 Latino adolescents with obesity and hepatic steatosis (12 males/6 females; average age 13.3 ± 1.2 y) who underwent a six-month lifestyle intervention. EV size distribution and concentration were determined by light scattering intensity; EV protein composition was characterized by liquid chromatography tandem-mass spectrometry. RESULTS Average hepatic fat fraction (HFF) decreased 23% by the end of the intervention (12.5% [5.5] to 9.6% [4.9]; P = 0.0077). Mean EV size was smaller post-intervention compared to baseline (120.2 ± 16.4 nm to 128.4 ± 16.5 nm; P = 0.031), although the difference in mean EV concentration (1.1E+09 ± 4.1E+08 particles/mL to 1.1E+09 ± 1.8E+08 particles/mL; P = 0.656)) remained unchanged. A total of 462 proteins were identified by proteomic analysis of plasma-derived EVs from participants pre- and post-intervention, with 113 proteins showing differential abundance (56 higher and 57 lower) between the two timepoints (adj-p <0.05). Pathway analysis revealed enrichment in complement cascade, initial triggering of complement, creation of C4 and C2 activators, and regulation of complement cascade. Hepatocyte-specific EV affinity purification identified 40 proteins with suggestive (p < 0.05) differential abundance between pre- and post-intervention samples. CONCLUSIONS Circulating EV-derived proteins, particularly those associated with the complement cascade, may contribute to improvements in liver fat in response to lifestyle intervention.
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Affiliation(s)
- Johanna K DiStefano
- Diabetes and Metabolic Disease Research Unit, Translational Genomics Research Institute, Phoenix, AZ, USA.
| | - Ignazio S Piras
- Neurogenomics Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Xiumei Wu
- Diabetes and Metabolic Disease Research Unit, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Ritin Sharma
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, CA, USA; Cancer & Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Krystine Garcia-Mansfield
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, CA, USA; Cancer & Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Maya Willey
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, CA, USA; Cancer & Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Brooke Lovell
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, CA, USA; Cancer & Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Patrick Pirrotte
- Integrated Mass Spectrometry Shared Resource, City of Hope Comprehensive Cancer Center, Duarte, CA, USA; Cancer & Cell Biology Division, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Micah L Olson
- Division of Endocrinology and Diabetes, Phoenix Children's, Phoenix, AZ, USA; Center for Health Promotion and Disease Prevention, Edson College of Nursing, Arizona State University, Phoenix, AZ, USA
| | - Gabriel Q Shaibi
- Division of Endocrinology and Diabetes, Phoenix Children's, Phoenix, AZ, USA; Center for Health Promotion and Disease Prevention, Edson College of Nursing, Arizona State University, Phoenix, AZ, USA
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19
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Schütz SD, Brackmann M, Liechti N, Moser M, Wittwer M, Bruggmann R. Functional characterization of Francisella tularensis subspecies holarctica genotypes during tick cell and macrophage infections using a proteogenomic approach. Front Cell Infect Microbiol 2024; 14:1355113. [PMID: 38500499 PMCID: PMC10944910 DOI: 10.3389/fcimb.2024.1355113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/19/2024] [Indexed: 03/20/2024] Open
Abstract
Tularemia is a vector-borne disease caused by the Gram-negative bacterium Francisella tularensis. Known hosts and vectors in Europe are hare and ticks. F. tularensis is transmitted from ticks and animals, but also from the hydrotelluric environment and the consumption of contaminated water or food. A changing climate expands the range in which ticks can live and consequently might contribute to increasing case numbers of tularemia. Two subspecies of F. tularensis are human pathogenic. Francisella tularensis tularensis (Ftt) is endemic in North America, while Francisella tularensis holarctica (Fth) is the only subspecies causing tularemia in Europe. Ft is classified as a category A bioterrorism agent due to its low infectious dose, multiple modes of transmission, high infectivity and potential for airborne transmission and has become a global public health concern. In line with the European survey and previous phylogenetic studies, Switzerland shows the co-distribution of B.6 and B.12 strains with different geographical distribution and prevalence within the country. To establish itself in different host environments of ticks and mammals, F. tularensis presumably undergoes substantial changes on the transcriptomics and proteomic level. Here we investigate the transcriptomic and proteomic differences of five strains of Fth upon infection of rabbit macrophages and tick cells.
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Affiliation(s)
- Sara Doina Schütz
- Interfaculty Bioinformatics Unit, University of Bern and Swiss Institute of Bioinformatics, Bern, Switzerland
- Spiez Laboratory, Federal Office for Civil Protection, Spiez, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | | | - Nicole Liechti
- Spiez Laboratory, Federal Office for Civil Protection, Spiez, Switzerland
| | - Michel Moser
- Spiez Laboratory, Federal Office for Civil Protection, Spiez, Switzerland
| | - Matthias Wittwer
- Spiez Laboratory, Federal Office for Civil Protection, Spiez, Switzerland
| | - Rémy Bruggmann
- Interfaculty Bioinformatics Unit, University of Bern and Swiss Institute of Bioinformatics, Bern, Switzerland
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20
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Merciai F, Basilicata MG, La Gioia D, Salviati E, Caponigro V, Ciaglia T, Musella S, Crescenzi C, Sommella E, Campiglia P. Sub-5-min RP-UHPLC-TIMS for high-throughput untargeted lipidomics and its application to multiple matrices. Anal Bioanal Chem 2024; 416:959-970. [PMID: 38078946 DOI: 10.1007/s00216-023-05084-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/10/2023] [Accepted: 11/27/2023] [Indexed: 01/23/2024]
Abstract
Untargeted lipidomics, with its ability to take a snapshot of the lipidome landscape, is an important tool to highlight lipid changes in pathology or drug treatment models. One of the shortcomings of most untargeted lipidomics based on UHPLC-HRMS is the low throughput, which is not compatible with large-scale screening. In this contribution, we evaluate the application of a sub-5-min high-throughput four-dimensional trapped ion mobility mass spectrometry (HT-4D-TIMS) platform for the fast profiling of multiple complex biological matrices. Human AC-16 cells and mouse brain, liver, sclera, and feces were used as samples. By using a fast 4-min RP gradient, the implementation of TIMS allows us to differentiate coeluting isomeric and isobaric lipids, with correct precursor ion isolation, avoiding co-fragmentation and chimeric MS/MS spectra. Globally, the HT-4D-TIMS allowed us to annotate 1910 different lipid species, 1308 at the molecular level and 602 at the sum composition level, covering 58 lipid subclasses, together with quantitation capability covering more than three orders of magnitude. Notably, TIMS values were highly comparable with respect to longer LC gradients (CV% = 0.39%). These results highlight how HT-4D-TIMS-based untargeted lipidomics possess high coverage and accuracy, halving the analysis time with respect to conventional UHPLC methods, and can be used for fast and accurate untargeted analysis of complex matrices to rapidly evaluate changes of lipid metabolism in disease models or drug discovery campaigns.
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Affiliation(s)
- Fabrizio Merciai
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
| | | | - Danila La Gioia
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
- PhD Program in Drug Discovery and Development, University of Salerno, Fisciano, SA, Italy
| | - Emanuela Salviati
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
| | - Vicky Caponigro
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
| | - Tania Ciaglia
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
| | - Simona Musella
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
| | - Carlo Crescenzi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
| | - Eduardo Sommella
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy.
| | - Pietro Campiglia
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 13284084, Fisciano, SA, Italy
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21
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Lou R, Shui W. Acquisition and Analysis of DIA-Based Proteomic Data: A Comprehensive Survey in 2023. Mol Cell Proteomics 2024; 23:100712. [PMID: 38182042 PMCID: PMC10847697 DOI: 10.1016/j.mcpro.2024.100712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/27/2023] [Accepted: 01/02/2024] [Indexed: 01/07/2024] Open
Abstract
Data-independent acquisition (DIA) mass spectrometry (MS) has emerged as a powerful technology for high-throughput, accurate, and reproducible quantitative proteomics. This review provides a comprehensive overview of recent advances in both the experimental and computational methods for DIA proteomics, from data acquisition schemes to analysis strategies and software tools. DIA acquisition schemes are categorized based on the design of precursor isolation windows, highlighting wide-window, overlapping-window, narrow-window, scanning quadrupole-based, and parallel accumulation-serial fragmentation-enhanced DIA methods. For DIA data analysis, major strategies are classified into spectrum reconstruction, sequence-based search, library-based search, de novo sequencing, and sequencing-independent approaches. A wide array of software tools implementing these strategies are reviewed, with details on their overall workflows and scoring approaches at different steps. The generation and optimization of spectral libraries, which are critical resources for DIA analysis, are also discussed. Publicly available benchmark datasets covering global proteomics and phosphoproteomics are summarized to facilitate performance evaluation of various software tools and analysis workflows. Continued advances and synergistic developments of versatile components in DIA workflows are expected to further enhance the power of DIA-based proteomics.
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Affiliation(s)
- Ronghui Lou
- iHuman Institute, ShanghaiTech University, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
| | - Wenqing Shui
- iHuman Institute, ShanghaiTech University, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
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22
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Gobom J, Brinkmalm A, Brinkmalm G, Blennow K, Zetterberg H. Alzheimer's Disease Biomarker Analysis Using Targeted Mass Spectrometry. Mol Cell Proteomics 2024; 23:100721. [PMID: 38246483 PMCID: PMC10926085 DOI: 10.1016/j.mcpro.2024.100721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 12/30/2023] [Accepted: 01/04/2024] [Indexed: 01/23/2024] Open
Abstract
Alzheimer's disease (AD) is characterized by several neuropathological changes, mainly extracellular amyloid aggregates (plaques), intraneuronal inclusions of phosphorylated tau (tangles), as well as neuronal and synaptic degeneration, accompanied by tissue reactions to these processes (astrocytosis and microglial activation) that precede neuronal network disturbances in the symptomatic phase of the disease. A number of biomarkers for these brain tissue changes have been developed, mainly using immunoassays. In this review, we discuss how targeted mass spectrometry (TMS) can be used to validate and further characterize classes of biomarkers reflecting different AD pathologies, such as tau- and amyloid-beta pathologies, synaptic dysfunction, lysosomal dysregulation, and axonal damage, and the prospect of using TMS to measure these proteins in clinical research and diagnosis. TMS advantages and disadvantages in relation to immunoassays are discussed, and complementary aspects of the technologies are discussed.
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Affiliation(s)
- Johan Gobom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
| | - Ann Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Gunnar Brinkmalm
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
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23
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Thielert M, Weiss CAM, Mann M, Rosenberger FA. Spatial Proteomics of Single Hepatocytes with Multiplexed Data-Independent Acquisition (mDIA). Methods Mol Biol 2024; 2817:97-113. [PMID: 38907150 DOI: 10.1007/978-1-0716-3934-4_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/23/2024]
Abstract
Spatially resolved mass spectrometry-based proteomics at single-cell resolution promises to provide insights into biological heterogeneity. We describe a protocol based on multiplexed data-independent acquisition (mDIA) with dimethyl labeling to enhance proteome depth, accuracy, and throughput while minimizing costs. It enables high-quality proteome analysis of single isolated hepatocytes and utilizes liver zonation for single-cell proteomics benchmarking. This adaptable, modular protocol will promote the use of single-cell proteomics in spatial biology.
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Affiliation(s)
- Marvin Thielert
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Caroline A M Weiss
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Matthias Mann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
- Proteomics Program, Novo Nordisk Foundation Centre for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Florian A Rosenberger
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
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24
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Wahle M, Thielert M, Zwiebel M, Skowronek P, Zeng WF, Mann M. IMBAS-MS Discovers Organ-Specific HLA Peptide Patterns in Plasma. Mol Cell Proteomics 2024; 23:100689. [PMID: 38043703 PMCID: PMC10765297 DOI: 10.1016/j.mcpro.2023.100689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 11/24/2023] [Accepted: 11/28/2023] [Indexed: 12/05/2023] Open
Abstract
Distinction of non-self from self is the major task of the immune system. Immunopeptidomics studies the peptide repertoire presented by the human leukocyte antigen (HLA) protein, usually on tissues. However, HLA peptides are also bound to plasma soluble HLA (sHLA), but little is known about their origin and potential for biomarker discovery in this readily available biofluid. Currently, immunopeptidomics is hampered by complex workflows and limited sensitivity, typically requiring several mL of plasma. Here, we take advantage of recent improvements in the throughput and sensitivity of mass spectrometry (MS)-based proteomics to develop a highly sensitive, automated, and economical workflow for HLA peptide analysis, termed Immunopeptidomics by Biotinylated Antibodies and Streptavidin (IMBAS). IMBAS-MS quantifies more than 5000 HLA class I peptides from only 200 μl of plasma, in just 30 min. Our technology revealed that the plasma immunopeptidome of healthy donors is remarkably stable throughout the year and strongly correlated between individuals with overlapping HLA types. Immunopeptides originating from diverse tissues, including the brain, are proportionately represented. We conclude that sHLAs are a promising avenue for immunology and potentially for precision oncology.
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Affiliation(s)
- Maria Wahle
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Marvin Thielert
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Maximilian Zwiebel
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Patricia Skowronek
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Wen-Feng Zeng
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Matthias Mann
- Department Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
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25
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Orsburn BC. An integrated method for single cell proteomics with simultaneous measurements of intracellular drug concentration implicates new mechanisms for adaptation to KRAS G12D inhibitors. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.18.567669. [PMID: 38014353 PMCID: PMC10680798 DOI: 10.1101/2023.11.18.567669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
It is well established that a population of single human cells will often respond to the same drug treatment in a heterogeneous manner. In the context of chemotherapeutics, these diverse responses may lead to individual adaptation mechanisms and ultimately multiple distinct methods of resistance. The obvious question from a pharmacology perspective is how intracellular concentrations of active drug varies between individual cells, and what role does that variation play in drug response heterogeneity? To date, no integrated methods for rapidly measuring intracellular drug levels while simultaneously measuring drug responses have been described. This study describes a method for single cell preparation that allows proteins to be extracted and digested from single cells while maintaining conditions for small molecules to be simultaneously measured. The method as described allows up to 40 cells to be analyzed per instrument per day. When applied to a KRASG12D small molecule inhibitor I observe a wide degree of intracellular levels of the drug, and that proteomic responses largely stratify based on the concentration of drug within each single cell. Further work is in progress to develop and standardize this method and - more importantly - to normalize drug measurements against direct measurements of cell volume. However, these preliminary results appear promising for the identification of single cells with unique drug response mechanisms. All data described in this study has been made publicly available through the ProteomeXchange consortium under accession PXD046002.
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Affiliation(s)
- Benjamin C. Orsburn
- The Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, USA, 21205
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26
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Heuckeroth S, Behrens A, Wolf C, Fütterer A, Nordhorn ID, Kronenberg K, Brungs C, Korf A, Richter H, Jeibmann A, Karst U, Schmid R. On-tissue dataset-dependent MALDI-TIMS-MS 2 bioimaging. Nat Commun 2023; 14:7495. [PMID: 37980348 PMCID: PMC10657435 DOI: 10.1038/s41467-023-43298-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 11/06/2023] [Indexed: 11/20/2023] Open
Abstract
Trapped ion mobility spectrometry (TIMS) adds an additional separation dimension to mass spectrometry (MS) imaging, however, the lack of fragmentation spectra (MS2) impedes confident compound annotation in spatial metabolomics. Here, we describe spatial ion mobility-scheduled exhaustive fragmentation (SIMSEF), a dataset-dependent acquisition strategy that augments TIMS-MS imaging datasets with MS2 spectra. The fragmentation experiments are systematically distributed across the sample and scheduled for multiple collision energies per precursor ion. Extendable data processing and evaluation workflows are implemented into the open source software MZmine. The workflow and annotation capabilities are demonstrated on rat brain tissue thin sections, measured by matrix-assisted laser desorption/ionisation (MALDI)-TIMS-MS, where SIMSEF enables on-tissue compound annotation through spectral library matching and rule-based lipid annotation within MZmine and maps the (un)known chemical space by molecular networking. The SIMSEF algorithm and data analysis pipelines are open source and modular to provide a community resource.
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Affiliation(s)
- Steffen Heuckeroth
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | | | - Carina Wolf
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | | | - Ilona D Nordhorn
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | - Katharina Kronenberg
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | - Corinna Brungs
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic
| | - Ansgar Korf
- Bruker Daltonics GmbH & Co. KG, Bremen, Germany
| | - Henning Richter
- Clinic for Diagnostic Imaging, Diagnostic Imaging Research Unit (DIRU), University of Zurich, Zürich, Switzerland
| | - Astrid Jeibmann
- Institute of Neuropathology, University Hospital Münster, Münster, Germany
| | - Uwe Karst
- Institute of Inorganic and Analytical Chemistry, University of Münster, Münster, Germany
| | - Robin Schmid
- Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences, Prague, Czech Republic.
- Collaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, CA, USA.
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27
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Dreyer A, Lenz C, Groß U, Bohne W, Zautner AE. Characterization of Campylobacter jejuni proteome profiles in co-incubation scenarios. Front Microbiol 2023; 14:1247211. [PMID: 38029072 PMCID: PMC10666060 DOI: 10.3389/fmicb.2023.1247211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 10/24/2023] [Indexed: 12/01/2023] Open
Abstract
In dynamic microbial ecosystems, bacterial communication is a relevant mechanism for interactions between different microbial species. When C. jejuni resides in the intestine of either avian or human hosts, it is exposed to diverse bacteria from the microbiome. This study aimed to reveal the influence of co-incubation with Enterococcus faecalis, Enterococcus faecium, or Staphylococcus aureus on the proteome of C. jejuni 81-176 using data-independent-acquisition mass spectrometry (DIA-MS). We compared the proteome profiles during co-incubation with the proteome profile in response to the bile acid deoxycholate (DCA) and investigated the impact of DCA on proteomic changes during co-incubation, as C. jejuni is exposed to both factors during colonization. We identified 1,375 proteins by DIA-MS, which is notably high, approaching the theoretical maximum of 1,645 proteins. S. aureus had the highest impact on the proteome of C. jejuni with 215 up-regulated and 230 down-regulated proteins. However, these numbers are still markedly lower than the 526 up-regulated and 516 down-regulated proteins during DCA exposure. We identified a subset of 54 significantly differentially expressed proteins that are shared after co-incubation with all three microbial species. These proteins were indicative of a common co-incubation response of C. jejuni. This common proteomic response partly overlapped with the DCA response; however, several proteins were specific to the co-incubation response. In the co-incubation experiment, we identified three membrane-interactive proteins among the top 20 up-regulated proteins. This finding suggests that the presence of other bacteria may contribute to increased adherence, e.g., to other bacteria but eventually also epithelial cells or abiotic surfaces. Furthermore, a conjugative transfer regulon protein was typically up-expressed during co-incubation. Exposure to both, co-incubation and DCA, demonstrated that the two stressors influenced each other, resulting in a unique synergistic proteomic response that differed from the response to each stimulus alone. Data are available via ProteomeXchange with identifier PXD046477.
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Affiliation(s)
- Annika Dreyer
- Institute for Medical Microbiology and Virology, University Medical Center Göttingen, Göttingen, Germany
| | - Christof Lenz
- Bioanalytical Mass Spectrometry Group, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Department of Clinical Chemistry, University Medical Center Göttingen, Göttingen, Germany
| | - Uwe Groß
- Institute for Medical Microbiology and Virology, University Medical Center Göttingen, Göttingen, Germany
| | - Wolfgang Bohne
- Institute for Medical Microbiology and Virology, University Medical Center Göttingen, Göttingen, Germany
| | - Andreas Erich Zautner
- Institute for Medical Microbiology and Virology, University Medical Center Göttingen, Göttingen, Germany
- Institute of Medical Microbiology and Hospital Hygiene, Medical Faculty, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
- Center for Health and Medical Prevention (CHaMP), Otto-von-Guericke University Magdeburg, Magdeburg, Germany
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28
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Will A, Oliinyk D, Bleiholder C, Meier F. Peptide collision cross sections of 22 post-translational modifications. Anal Bioanal Chem 2023; 415:6633-6645. [PMID: 37758903 PMCID: PMC10598134 DOI: 10.1007/s00216-023-04957-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 07/13/2023] [Accepted: 08/23/2023] [Indexed: 09/29/2023]
Abstract
Recent advances have rekindled the interest in ion mobility as an additional dimension of separation in mass spectrometry (MS)-based proteomics. Ion mobility separates ions according to their size and shape in the gas phase. Here, we set out to investigate the effect of 22 different post-translational modifications (PTMs) on the collision cross section (CCS) of peptides. In total, we analyzed ~4300 pairs of matching modified and unmodified peptide ion species by trapped ion mobility spectrometry (TIMS). Linear alignment based on spike-in reference peptides resulted in highly reproducible CCS values with a median coefficient of variation of 0.26%. On a global level, we observed a redistribution in the m/z vs. ion mobility space for modified peptides upon changes in their charge state. Pairwise comparison between modified and unmodified peptides of the same charge state revealed median shifts in CCS between -1.4% (arginine citrullination) and +4.5% (O-GlcNAcylation). In general, increasing modified peptide masses were correlated with higher CCS values, in particular within homologous PTM series. However, investigating the ion populations in more detail, we found that the change in CCS can vary substantially for a given PTM and is partially correlated with the gas phase structure of its unmodified counterpart. In conclusion, our study shows PTM- and sequence-specific effects on the cross section of peptides, which could be further leveraged for proteome-wide PTM analysis.
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Affiliation(s)
- Andreas Will
- Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Denys Oliinyk
- Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany
| | - Christian Bleiholder
- Department of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32304, USA
| | - Florian Meier
- Functional Proteomics, Jena University Hospital, Am Klinikum 1, 07747, Jena, Germany.
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29
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Heil L, Damoc E, Arrey TN, Pashkova A, Denisov E, Petzoldt J, Peterson AC, Hsu C, Searle BC, Shulman N, Riffle M, Connolly B, MacLean BX, Remes PM, Senko MW, Stewart HI, Hock C, Makarov AA, Hermanson D, Zabrouskov V, Wu CC, MacCoss MJ. Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data-Independent Acquisition. J Proteome Res 2023; 22:3290-3300. [PMID: 37683181 PMCID: PMC10563156 DOI: 10.1021/acs.jproteome.3c00357] [Citation(s) in RCA: 31] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Indexed: 09/10/2023]
Abstract
We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data-independent acquisition, the Thermo Scientific Orbitrap Astral mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific Orbitrap mass spectrometers, which have long been the gold standard for high-resolution quantitative proteomics. Our results demonstrate that the Orbitrap Astral mass spectrometer can produce high-quality quantitative measurements across a wide dynamic range. We also use a newly developed extracellular vesicle enrichment protocol to reach new depths of coverage in the plasma proteome, quantifying over 5000 plasma proteins in a 60 min gradient with the Orbitrap Astral mass spectrometer.
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Affiliation(s)
- Lilian
R. Heil
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Eugen Damoc
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | - Tabiwang N. Arrey
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | - Anna Pashkova
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | - Eduard Denisov
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | - Johannes Petzoldt
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | | | - Chris Hsu
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Brian C. Searle
- Pelotonia
Institute for Immuno-Oncology, The Ohio
State University Comprehensive Cancer Center, Columbus, Ohio 43210, United States
- Department
of Biomedical Informatics, The Ohio State
University, Columbus, Ohio 43210, United States
| | - Nicholas Shulman
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Michael Riffle
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Brian Connolly
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Brendan X. MacLean
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Philip M. Remes
- Thermo
Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Michael W. Senko
- Thermo
Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Hamish I. Stewart
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | - Christian Hock
- Thermo
Fisher Scientific, Hanna-Kunath
Ste. 11, 28199 Bremen, Germany
| | | | - Daniel Hermanson
- Thermo
Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Vlad Zabrouskov
- Thermo
Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Christine C. Wu
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Michael J. MacCoss
- Department
of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
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30
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Wallmann G, Leduc A, Slavov N. Data-Driven Optimization of DIA Mass Spectrometry by DO-MS. J Proteome Res 2023; 22:3149-3158. [PMID: 37695820 PMCID: PMC10591957 DOI: 10.1021/acs.jproteome.3c00177] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Indexed: 09/13/2023]
Abstract
Mass spectrometry (MS) enables specific and accurate quantification of proteins with ever-increasing throughput and sensitivity. Maximizing this potential of MS requires optimizing data acquisition parameters and performing efficient quality control for large datasets. To facilitate these objectives for data-independent acquisition (DIA), we developed a second version of our framework for data-driven optimization of MS methods (DO-MS). The DO-MS app v2.0 (do-ms.slavovlab.net) allows one to optimize and evaluate results from both label-free and multiplexed DIA (plexDIA) and supports optimizations particularly relevant to single-cell proteomics. We demonstrate multiple use cases, including optimization of duty cycle methods, peptide separation, number of survey scans per duty cycle, and quality control of single-cell plexDIA data. DO-MS allows for interactive data display and generation of extensive reports, including publication of quality figures that can be easily shared. The source code is available at github.com/SlavovLab/DO-MS.
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Affiliation(s)
- Georg Wallmann
- Departments
of Bioengineering, Biology, Chemistry and Chemical Biology, Single
Cell Proteomics Center, Northeastern University, Boston, Massachusetts 02115, United States
| | - Andrew Leduc
- Departments
of Bioengineering, Biology, Chemistry and Chemical Biology, Single
Cell Proteomics Center, Northeastern University, Boston, Massachusetts 02115, United States
| | - Nikolai Slavov
- Departments
of Bioengineering, Biology, Chemistry and Chemical Biology, Single
Cell Proteomics Center, Northeastern University, Boston, Massachusetts 02115, United States
- Parallel
Squared Technology Institute, Watertown, Massachusetts 02472, United States
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31
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Niroomand A, Hirdman G, Pierre L, Ghaidan H, Kjellström S, Stenlo M, Hyllén S, Olm F, Lindstedt S. Proteomic changes to immune and inflammatory processes underlie lung preservation using ex vivo cytokine adsorption. Front Cardiovasc Med 2023; 10:1274444. [PMID: 37849943 PMCID: PMC10577429 DOI: 10.3389/fcvm.2023.1274444] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 09/13/2023] [Indexed: 10/19/2023] Open
Abstract
Introduction In recent years, the field of graft preservation has made considerable strides in improving outcomes related to solid organ restoration and regeneration. Ex vivo lung perfusion (EVLP) in line with the related devices and treatments has yielded promising results within preclinical and clinical studies, with the potential to improve graft quality. Its main benefit is to render marginal and declined donor lungs suitable for transplantation, ultimately increasing the donor pool available for transplantation. In addition, using such therapies in machine perfusion could also increase preservation time, facilitating logistical planning. Cytokine adsorption has been demonstrated as a potentially safe and effective therapy when applied to the EVLP circuit and post-transplantation. However, the mechanism by which this therapy improves the donor lung on a molecular basis is not yet fully understood. Methods We hypothesized that there were characteristic inflammatory and immunomodulatory differences between the lungs treated with and without cytokine adsorption, reflecting proteomic changes in the gene ontology pathways and across inflammation-related proteins. In this study, we investigate the molecular mechanisms and signaling pathways of how cytokine adsorption impacts lung function when used during EVLP and post-transplantation as hemoperfusion in a porcine model. Lung tissues during EVLP and post-lung transplantation were analyzed for their proteomic profiles using mass spectrometry. Results We found through gene set enrichment analysis that the inflammatory and immune processes and coagulation pathways were significantly affected by the cytokine treatment after EVLP and transplantation. Conclusion In conclusion, we showed that the molecular mechanisms are using a proteomic approach behind the previously reported effects of cytokine adsorption when compared to the non-treated transplant recipients undergoing EVLP.
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Affiliation(s)
- Anna Niroomand
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- School of Medicine, Rutgers Robert Wood Johnson University, New Brunswick, NJ, United States
| | - Gabriel Hirdman
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Leif Pierre
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Cardiothoracic Surgery and Transplantation, Skåne University Hospital, Lund, Sweden
| | - Haider Ghaidan
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Cardiothoracic Surgery and Transplantation, Skåne University Hospital, Lund, Sweden
| | - Sven Kjellström
- Department of Clinical Sciences, BioMS, Lund University, Lund, Sweden
| | - Martin Stenlo
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Cardiothoracic Surgery and Transplantation, Skåne University Hospital, Lund, Sweden
- Department of Cardiothoracic Anesthesia and Intensive Care, Skåne University Hospital, Lund, Sweden
| | - Snejana Hyllén
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Cardiothoracic Anesthesia and Intensive Care, Skåne University Hospital, Lund, Sweden
| | - Franziska Olm
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
| | - Sandra Lindstedt
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Lund Stem Cell Center, Lund University, Lund, Sweden
- Wallenberg Center for Molecular Medicine, Lund University, Lund, Sweden
- Department of Cardiothoracic Surgery and Transplantation, Skåne University Hospital, Lund, Sweden
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32
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Nordmann TM, Schweizer L, Metousis A, Thielert M, Rodriguez E, Rahbek-Gjerdrum LM, Stadler PC, Bzorek M, Mund A, Rosenberger FA, Mann M. A Standardized and Reproducible Workflow for Membrane Glass Slides in Routine Histology and Spatial Proteomics. Mol Cell Proteomics 2023; 22:100643. [PMID: 37683827 PMCID: PMC10565769 DOI: 10.1016/j.mcpro.2023.100643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/28/2023] [Accepted: 09/05/2023] [Indexed: 09/10/2023] Open
Abstract
Defining the molecular phenotype of single cells in situ is key for understanding tissue architecture in health and disease. Advanced imaging platforms have recently been joined by spatial omics technologies, promising unparalleled insights into the molecular landscape of biological samples. Furthermore, high-precision laser microdissection (LMD) of tissue on membrane glass slides is a powerful method for spatial omics technologies and single-cell type spatial proteomics in particular. However, current histology protocols have not been compatible with glass membrane slides and LMD for automated staining platforms and routine histology procedures. This has prevented the combination of advanced staining procedures with LMD. In this study, we describe a novel method for handling glass membrane slides that enables automated eight-color multiplexed immunofluorescence staining and high-quality imaging followed by precise laser-guided extraction of single cells. The key advance is the glycerol-based modification of heat-induced epitope retrieval protocols, termed "G-HIER." We find that this altered antigen-retrieval solution prevents membrane distortion. Importantly, G-HIER is fully compatible with current antigen retrieval workflows and mass spectrometry-based proteomics and does not affect proteome depth or quality. To demonstrate the versatility of G-HIER for spatial proteomics, we apply the recently introduced deep visual proteomics technology to perform single-cell type analysis of adjacent suprabasal and basal keratinocytes of human skin. G-HIER overcomes previous incompatibility of standard and advanced staining protocols with membrane glass slides and enables robust integration with routine histology procedures, high-throughput multiplexed imaging, and sophisticated downstream spatial omics technologies.
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Affiliation(s)
- Thierry M Nordmann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Lisa Schweizer
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Andreas Metousis
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Marvin Thielert
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Edwin Rodriguez
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | | | | | - Michael Bzorek
- Department of Pathology, Zealand University Hospital, Roskilde, Denmark
| | - Andreas Mund
- Proteomics Program, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark
| | - Florian A Rosenberger
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
| | - Matthias Mann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Proteomics Program, Faculty of Health and Medical Sciences, Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen, Denmark.
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33
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Rosenberger FA, Thielert M, Strauss MT, Schweizer L, Ammar C, Mädler SC, Metousis A, Skowronek P, Wahle M, Madden K, Gote-Schniering J, Semenova A, Schiller HB, Rodriguez E, Nordmann TM, Mund A, Mann M. Spatial single-cell mass spectrometry defines zonation of the hepatocyte proteome. Nat Methods 2023; 20:1530-1536. [PMID: 37783884 PMCID: PMC10555842 DOI: 10.1038/s41592-023-02007-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 08/15/2023] [Indexed: 10/04/2023]
Abstract
Single-cell proteomics by mass spectrometry is emerging as a powerful and unbiased method for the characterization of biological heterogeneity. So far, it has been limited to cultured cells, whereas an expansion of the method to complex tissues would greatly enhance biological insights. Here we describe single-cell Deep Visual Proteomics (scDVP), a technology that integrates high-content imaging, laser microdissection and multiplexed mass spectrometry. scDVP resolves the context-dependent, spatial proteome of murine hepatocytes at a current depth of 1,700 proteins from a cell slice. Half of the proteome was differentially regulated in a spatial manner, with protein levels changing dramatically in proximity to the central vein. We applied machine learning to proteome classes and images, which subsequently inferred the spatial proteome from imaging data alone. scDVP is applicable to healthy and diseased tissues and complements other spatial proteomics and spatial omics technologies.
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Affiliation(s)
- Florian A Rosenberger
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Marvin Thielert
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Maximilian T Strauss
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lisa Schweizer
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Constantin Ammar
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Sophia C Mädler
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Andreas Metousis
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Patricia Skowronek
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Maria Wahle
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Katherine Madden
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Janine Gote-Schniering
- Comprehensive Pneumology Center (CPC) / Institute of Lung Health and Immunity (LHI), Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Anna Semenova
- Comprehensive Pneumology Center (CPC) / Institute of Lung Health and Immunity (LHI), Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Herbert B Schiller
- Comprehensive Pneumology Center (CPC) / Institute of Lung Health and Immunity (LHI), Helmholtz Munich; Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Edwin Rodriguez
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Thierry M Nordmann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Andreas Mund
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Matthias Mann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany.
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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34
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Thielert M, Itang ECM, Ammar C, Rosenberger FA, Bludau I, Schweizer L, Nordmann TM, Skowronek P, Wahle M, Zeng W, Zhou X, Brunner A, Richter S, Levesque MP, Theis FJ, Steger M, Mann M. Robust dimethyl-based multiplex-DIA doubles single-cell proteome depth via a reference channel. Mol Syst Biol 2023; 19:e11503. [PMID: 37602975 PMCID: PMC10495816 DOI: 10.15252/msb.202211503] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 07/17/2023] [Accepted: 07/25/2023] [Indexed: 08/22/2023] Open
Abstract
Single-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput, and robustness, which we address here by a streamlined multiplexed workflow using data-independent acquisition (mDIA). We demonstrate automated and complete dimethyl labeling of bulk or single-cell samples, without losing proteomic depth. Lys-N digestion enables five-plex quantification at MS1 and MS2 level. Because the multiplexed channels are quantitatively isolated from each other, mDIA accommodates a reference channel that does not interfere with the target channels. Our algorithm RefQuant takes advantage of this and confidently quantifies twice as many proteins per single cell compared to our previous work (Brunner et al, PMID 35226415), while our workflow currently allows routine analysis of 80 single cells per day. Finally, we combined mDIA with spatial proteomics to increase the throughput of Deep Visual Proteomics seven-fold for microdissection and four-fold for MS analysis. Applying this to primary cutaneous melanoma, we discovered proteomic signatures of cells within distinct tumor microenvironments, showcasing its potential for precision oncology.
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Affiliation(s)
- Marvin Thielert
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Ericka CM Itang
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Constantin Ammar
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Florian A Rosenberger
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Isabell Bludau
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Lisa Schweizer
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Thierry M Nordmann
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Patricia Skowronek
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Maria Wahle
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Wen‐Feng Zeng
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Xie‐Xuan Zhou
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
| | - Andreas‐David Brunner
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- Boehringer Ingelheim Pharma GmbH & Co. KG, Drug Discovery SciencesBiberach an der RissGermany
| | - Sabrina Richter
- Helmholtz Zentrum München – German Research Center for Environmental HealthInstitute of Computational BiologyNeuherbergGermany
- TUM School of Life Sciences WeihenstephanTechnical University of MunichFreisingGermany
| | - Mitchell P Levesque
- Department of DermatologyUniversity of Zurich, University of Zurich HospitalZurichSwitzerland
| | - Fabian J Theis
- Helmholtz Zentrum München – German Research Center for Environmental HealthInstitute of Computational BiologyNeuherbergGermany
- TUM School of Life Sciences WeihenstephanTechnical University of MunichFreisingGermany
| | - Martin Steger
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- New address: NEOsphere Biotechnologies GmbHPlaneggGermany
| | - Matthias Mann
- Department of Proteomics and Signal TransductionMax Planck Institute of BiochemistryMartinsriedGermany
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical SciencesUniversity of CopenhagenCopenhagenDenmark
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35
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Wallmann G, Leduc A, Slavov N. Data-Driven Optimization of DIA Mass Spectrometry by DO-MS. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.02.526809. [PMID: 36778474 PMCID: PMC9915643 DOI: 10.1101/2023.02.02.526809] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Mass spectrometry (MS) enables specific and accurate quantification of proteins with ever increasing throughput and sensitivity. Maximizing this potential of MS requires optimizing data acquisition parameters and performing efficient quality control for large datasets. To facilitate these objectives for data independent acquisition (DIA), we developed a second version of our framework for data-driven optimization of mass spectrometry methods (DO-MS). The DO-MS app v2.0 ( do-ms.slavovlab.net ) allows to optimize and evaluate results from both label free and multiplexed DIA (plexDIA) and supports optimizations particularly relevant for single-cell proteomics. We demonstrate multiple use cases, including optimization of duty cycle methods, peptide separation, number of survey scans per duty cycle, and quality control of single-cell plexDIA data. DO-MS allows for interactive data display and generation of extensive reports, including publication quality figures, that can be easily shared. The source code is available at: github.com/SlavovLab/DO-MS .
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Affiliation(s)
- Georg Wallmann
- Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA
| | - Andrew Leduc
- Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA
| | - Nikolai Slavov
- Departments of Bioengineering, Biology, Chemistry and Chemical Biology, Single Cell Proteomics Center, Northeastern University, Boston, MA 02115, USA
- Parallel Squared Technology Institute, Watertown, MA 02472, USA
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36
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Nagy K, Gellén G, Papp D, Schlosser G, Révész Á. Optimum collision energies for proteomics: The impact of ion mobility separation. JOURNAL OF MASS SPECTROMETRY : JMS 2023; 58:e4957. [PMID: 37415399 DOI: 10.1002/jms.4957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 05/28/2023] [Accepted: 06/19/2023] [Indexed: 07/08/2023]
Abstract
Ion mobility spectrometry (IMS) is a widespread separation technique used in various research fields. It can be coupled to liquid chromatography-mass spectrometry (LC-MS/MS) methods providing an additional separation dimension. During IMS, ions are subjected to multiple collisions with buffer gas, which may cause significant ion heating. The present project addresses this phenomenon from the bottom-up proteomics point of view. We performed LC-MS/MS measurements on a cyclic ion mobility mass spectrometer with varied collision energy (CE) settings both with and without IMS. We investigated the CE dependence of identification score, using Byonic search engine, for more than 1000 tryptic peptides from HeLa digest standard. We determined the optimal CE values-giving the highest identification score-for both setups (i.e., with and without IMS). Results show that lower CE is advantageous when IMS separation is applied, by 6.3 V on average. This value belongs to the one-cycle separation configuration, and multiple cycles may supposedly have even larger impact. The effect of IMS is also reflected in the trends of optimal CE values versus m/z functions. The parameters suggested by the manufacturer were found to be almost optimal for the setup without IMS; on the other hand, they are obviously too high with IMS. Practical consideration on setting up a mass spectrometric platform hyphenated to IMS is also presented. Furthermore, the two CID (collision induced dissociation) fragmentation cells of the instrument-located before and after the IMS cell-were also compared, and we found that CE adjustment is needed when the trap cell is used for activation instead of the transfer cell. Data have been deposited in the MassIVE repository (MSV000090944).
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Affiliation(s)
- Kinga Nagy
- MS Proteomics Research Group, Research Centre for Natural Sciences, Budapest, H-1117, Hungary
- Hevesy György PhD School of Chemistry, Faculty of Science, Institute of Chemistry, Eötvös Loránd University, Budapest, H-1117, Hungary
| | - Gabriella Gellén
- MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Faculty of Science, Institute of Chemistry, Eötvös Loránd University, Budapest, H-1117, Hungary
| | - Dávid Papp
- Hevesy György PhD School of Chemistry, Faculty of Science, Institute of Chemistry, Eötvös Loránd University, Budapest, H-1117, Hungary
- MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Faculty of Science, Institute of Chemistry, Eötvös Loránd University, Budapest, H-1117, Hungary
| | - Gitta Schlosser
- MTA-ELTE Lendület Ion Mobility Mass Spectrometry Research Group, Faculty of Science, Institute of Chemistry, Eötvös Loránd University, Budapest, H-1117, Hungary
| | - Ágnes Révész
- MS Proteomics Research Group, Research Centre for Natural Sciences, Budapest, H-1117, Hungary
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37
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Heil LR, Damoc E, Arrey TN, Pashkova A, Denisov E, Petzoldt J, Peterson AC, Hsu C, Searle BC, Shulman N, Riffle M, Connolly B, MacLean BX, Remes PM, Senko MW, Stewart HI, Hock C, Makarov AA, Hermanson D, Zabrouskov V, Wu CC, MacCoss MJ. Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.03.543570. [PMID: 37398334 PMCID: PMC10312564 DOI: 10.1101/2023.06.03.543570] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data independent acquisition, the Thermo Scientific™ Orbitrap™ Astral™ mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific™ Orbitrap™ mass spectrometers, which have long been the gold standard for high resolution quantitative proteomics. Our results demonstrate that the Orbitrap Astral mass spectrometer can produce high quality quantitative measurements across a wide dynamic range. We also use a newly developed extra-cellular vesicle enrichment protocol to reach new depths of coverage in the plasma proteome, quantifying over 5,000 plasma proteins in a 60-minute gradient with the Orbitrap Astral mass spectrometer.
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Affiliation(s)
- Lilian R. Heil
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Eugen Damoc
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | - Tabiwang N. Arrey
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | - Anna Pashkova
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | - Eduard Denisov
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | - Johannes Petzoldt
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | | | - Chris Hsu
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Brian C. Searle
- Pelotonia Institute for Immuno-Oncology, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio 43210, United States
- Department of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, United States
| | - Nicholas Shulman
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Michael Riffle
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Brian Connolly
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Brendan X. MacLean
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Philip M. Remes
- Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Michael W. Senko
- Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Hamish I. Stewart
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | - Christian Hock
- Thermo Fisher Scientific, Hanna-Kunath Ste. 11, 28199 Bremen, Germany
| | | | - Daniel Hermanson
- Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Vlad Zabrouskov
- Thermo Fisher Scientific, 355 River Oaks Parkway, San Jose, California 95134, United States
| | - Christine C. Wu
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
| | - Michael J. MacCoss
- Department of Genome Sciences, University of Washington, 3720 15th Street NE, Seattle, Washington 98195, United States
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38
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Zittlau K, Nashier P, Cavarischia-Rega C, Macek B, Spät P, Nalpas N. Recent progress in quantitative phosphoproteomics. Expert Rev Proteomics 2023; 20:469-482. [PMID: 38116637 DOI: 10.1080/14789450.2023.2295872] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 12/12/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Protein phosphorylation is a critical post-translational modification involved in the regulation of numerous cellular processes from signal transduction to modulation of enzyme activities. Knowledge of dynamic changes of phosphorylation levels during biological processes, under various treatments or between healthy and disease models is fundamental for understanding the role of each phosphorylation event. Thereby, LC-MS/MS based technologies in combination with quantitative proteomics strategies evolved as a powerful strategy to investigate the function of individual protein phosphorylation events. AREAS COVERED State-of-the-art labeling techniques including stable isotope and isobaric labeling provide precise and accurate quantification of phosphorylation events. Here, we review the strengths and limitations of recent quantification methods and provide examples based on current studies, how quantitative phosphoproteomics can be further optimized for enhanced analytic depth, dynamic range, site localization, and data integrity. Specifically, reducing the input material demands is key to a broader implementation of quantitative phosphoproteomics, not least for clinical samples. EXPERT OPINION Despite quantitative phosphoproteomics is one of the most thriving fields in the proteomics world, many challenges still have to be overcome to facilitate even deeper and more comprehensive analyses as required in the current research, especially at single cell levels and in clinical diagnostics.
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Affiliation(s)
- Katharina Zittlau
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Payal Nashier
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Claudia Cavarischia-Rega
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Boris Macek
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Philipp Spät
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
| | - Nicolas Nalpas
- Quantitative Proteomics, Interfaculty Institute of Cell Biology, University of Tuebingen, Tuebingen , Germany
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39
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Wu X, Liu YK, Iliuk AB, Tao WA. Mass spectrometry-based phosphoproteomics in clinical applications. Trends Analyt Chem 2023; 163:117066. [PMID: 37215489 PMCID: PMC10195102 DOI: 10.1016/j.trac.2023.117066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Protein phosphorylation is an essential post-translational modification that regulates many aspects of cellular physiology, and dysregulation of pivotal phosphorylation events is often responsible for disease onset and progression. Clinical analysis on disease-relevant phosphoproteins, while quite challenging, provides unique information for precision medicine and targeted therapy. Among various approaches, mass spectrometry (MS)-centered characterization features discovery-driven, high-throughput and in-depth identification of phosphorylation events. This review highlights advances in sample preparation and instrument in MS-based phosphoproteomics and recent clinical applications. We emphasize the preeminent data-independent acquisition method in MS as one of the most promising future directions and biofluid-derived extracellular vesicles as an intriguing source of the phosphoproteome for liquid biopsy.
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Affiliation(s)
- Xiaofeng Wu
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
| | - Yi-Kai Liu
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
| | - Anton B. Iliuk
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
- Tymora Analytical Operations, West Lafayette, IN, USA
| | - W. Andy Tao
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
- Department of Biochemistry, Purdue University, West Lafayette, IN, USA
- Tymora Analytical Operations, West Lafayette, IN, USA
- Center for Cancer Research, Purdue University, West Lafayette, IN, USA
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40
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Wen C, Wu X, Lin G, Yan W, Gan G, Xu X, Chen XY, Chen X, Liu X, Fu G, Zhong CQ. Evaluation of DDA Library-Free Strategies for Phosphoproteomics and Ubiquitinomics Data-Independent Acquisition Data. J Proteome Res 2023. [PMID: 37256709 DOI: 10.1021/acs.jproteome.2c00735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Phosphoproteomics and ubiquitinomics data-independent acquisition (DIA) mass spectrometry (MS) data is typically analyzed by using a data-dependent acquisition (DDA) spectral library. The performance of various library-free strategies for analyzing phosphoproteomics and ubiquitinomics DIA MS data has not been evaluated. In this study, we systematically compare four commonly used DDA library-free approaches including Spectronaut's directDIA, DIA-Umpire, DIA-MSFragger, and in silico-predicted library for analysis of phosphoproteomics SWATH, DIA, and diaPASEF data as well as ubiquitinomics diaPASEF data. Spectronaut's directDIA shows the highest sensitivity for phosphopeptide detection not only in synthetic phosphopeptide samples but also in phosphoproteomics SWATH-MS and DIA data from real biological samples, when compared to the other three library-free strategies. For phosphoproteomics diaPASEF data, Spectronaut's directDIA and the in silico-predicted library based on DIA-NN identify almost the same number of phosphopeptides as a project-specific DDA spectral library. However, only about 30% of the total phosphopeptides are commonly identified, suggesting that the library-free strategies for phospho-diaPASEF data need further improvement in terms of sensitivity. For ubiquitinomics diaPASEF data, the in silico-predicted library performs the best among the four workflows and detects ∼50% more K-GG peptides than a project-specific DDA spectral library. Our results demonstrate that Spectronaut's directDIA is suitable for the analysis of phosphoproteomics SWATH-MS and DIA MS data, while the in silico-predicted library based on DIA-NN shows substantial advantages for ubiquitinomics diaPASEF MS data.
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Affiliation(s)
- Chengwen Wen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Xiurong Wu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Guanzhong Lin
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Wei Yan
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Guohong Gan
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Xiao Xu
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Xiang-Yu Chen
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Xi Chen
- SpecAlly Life Technology Co., Ltd., Wuhan 430074, Hubei, China
| | - Xianming Liu
- Shanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200030, China
| | - Guo Fu
- School of Medicine, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
| | - Chuan-Qi Zhong
- State Key Laboratory of Cellular Stress Biology, School of Life Sciences, Faculty of Medicine and Life Sciences, Xiamen University, Xiamen 361005, Fujian, China
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41
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Thienel M, Müller-Reif JB, Zhang Z, Ehreiser V, Huth J, Shchurovska K, Kilani B, Schweizer L, Geyer PE, Zwiebel M, Novotny J, Lüsebrink E, Little G, Orban M, Nicolai L, El Nemr S, Titova A, Spannagl M, Kindberg J, Evans AL, Mach O, Vogel M, Tiedt S, Ormanns S, Kessler B, Dueck A, Friebe A, Jørgensen PG, Majzoub-Altweck M, Blutke A, Polzin A, Stark K, Kääb S, Maier D, Gibbins JM, Limper U, Frobert O, Mann M, Massberg S, Petzold T. Immobility-associated thromboprotection is conserved across mammalian species from bear to human. Science 2023; 380:178-187. [PMID: 37053338 DOI: 10.1126/science.abo5044] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 03/10/2023] [Indexed: 04/15/2023]
Abstract
Venous thromboembolism (VTE) comprising deep venous thrombosis and pulmonary embolism is a major cause of morbidity and mortality. Short-term immobility-related conditions are a major risk factor for the development of VTE. Paradoxically, long-term immobilized free-ranging hibernating brown bears and paralyzed spinal cord injury (SCI) patients are protected from VTE. We aimed to identify mechanisms of immobility-associated VTE protection in a cross-species approach. Mass spectrometry-based proteomics revealed an antithrombotic signature in platelets of hibernating brown bears with heat shock protein 47 (HSP47) as the most substantially reduced protein. HSP47 down-regulation or ablation attenuated immune cell activation and neutrophil extracellular trap formation, contributing to thromboprotection in bears, SCI patients, and mice. This cross-species conserved platelet signature may give rise to antithrombotic therapeutics and prognostic markers beyond immobility-associated VTE.
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Affiliation(s)
- Manuela Thienel
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Johannes B Müller-Reif
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
- Omicera Diagnostics, 82152 Martinsried, Germany
| | - Zhe Zhang
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Vincent Ehreiser
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Judith Huth
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Khrystyna Shchurovska
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Badr Kilani
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Lisa Schweizer
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Philipp E Geyer
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
- Omicera Diagnostics, 82152 Martinsried, Germany
| | - Maximilian Zwiebel
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Julia Novotny
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Enzo Lüsebrink
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Gemma Little
- Institute for Cardiovascular and Metabolic Research, School of Biological Sciences, Health and Life Sciences Building, University of Reading, RG6 6UR, UK
| | - Martin Orban
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
| | - Leo Nicolai
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Shaza El Nemr
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Anna Titova
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Michael Spannagl
- Anesthesiology and Transfusion Medicine, Cell Therapeutics and Hemostaseology, Ludwig-Maximilians-University Munich, 80336 Munich, Germany
| | - Jonas Kindberg
- Norwegian Institute for Nature Research, 7034 Trondheim, Norway
- Scandinavian Brown Bear Research Project, Tackåsen 2, SE-79498 Orsa, Sweden
- Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, SE-90183 Umeå, Sweden
| | - Alina L Evans
- Department of Forestry and Wildlife Management, Faculty of Applied Ecology and Agricultural Sciences, Inland Norway University of Applied Sciences, 2480 Koppang, Norway
| | - Orpheus Mach
- Zentrum für Rückenmarkverletzte mit Neuro-Urologie, BG Unfallklinik Murnau, 82418 Murnau am Staffelsee, Germany
| | - Matthias Vogel
- Zentrum für Rückenmarkverletzte mit Neuro-Urologie, BG Unfallklinik Murnau, 82418 Murnau am Staffelsee, Germany
| | - Steffen Tiedt
- Neurologische Klinik und Poliklinik, Klinikum der Universität München, Ludwig-Maximilians- University Munich, 81377 Munich, Germany
| | - Steffen Ormanns
- Pathologisches Institut, Klinikum der Universität München, Ludwig-Maximilians- University Munich, 81377 Munich, Germany
| | - Barbara Kessler
- Gene Center, Ludwig-Maximilians-University Munich, 81377 Munich, Germany
| | - Anne Dueck
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
- Institute of Pharmacology and Toxicology, Technical University of Munich, 80802 Munich, Germany
| | - Andrea Friebe
- Norwegian Institute for Nature Research, 7034 Trondheim, Norway
- Scandinavian Brown Bear Research Project, Tackåsen 2, SE-79498 Orsa, Sweden
| | - Peter Godsk Jørgensen
- Herlev and Gentofte University Hospital, Borgmester Ib Juuls Vej 1, DK-2730, Herlev, Copenhagen, Denmark
| | - Monir Majzoub-Altweck
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, LMU Munich, 80539 Munich, Germany
| | - Andreas Blutke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, LMU Munich, 80539 Munich, Germany
| | - Amin Polzin
- Division of Cardiology, Pulmonology, and Vascular Medicine, Heinrich Heine University Medical Center Dusseldorf, 40225 Dusseldorf, Germany
| | - Konstantin Stark
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Stefan Kääb
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Doris Maier
- Zentrum für Rückenmarkverletzte mit Neuro-Urologie, BG Unfallklinik Murnau, 82418 Murnau am Staffelsee, Germany
| | - Jonathan M Gibbins
- Institute for Cardiovascular and Metabolic Research, School of Biological Sciences, Health and Life Sciences Building, University of Reading, RG6 6UR, UK
| | - Ulrich Limper
- Institute of Aerospace Medicine, German Aerospace Center (DLR), 51147 Cologne, Germany
- Department of Anesthesiology and Intensive Care Medicine, Merheim Medical Center, Hospitals of Cologne, University of Witten/Herdecke, 51109 Cologne, Germany
| | - Ole Frobert
- Faculty of Health, Department of Cardiology, Örebro University, 701 85 Örebro, Sweden
- Department of Clinical Medicine, Faculty of Health, Aarhus University, 8000 Aarhus, Denmark
- Department of Clinical Pharmacology, Aarhus University Hospital, 8000 Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, 8000 Aarhus, Denmark
| | - Matthias Mann
- Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, 82152 Martinsried, Germany
| | - Steffen Massberg
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
| | - Tobias Petzold
- Department of Cardiology, University Hospital, LMU Munich, 81377 Munich, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, 80802 Munich, Germany
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Franciosa G, Locard-Paulet M, Jensen LJ, Olsen JV. Recent advances in kinase signaling network profiling by mass spectrometry. Curr Opin Chem Biol 2023; 73:102260. [PMID: 36657259 DOI: 10.1016/j.cbpa.2022.102260] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 01/19/2023]
Abstract
Mass spectrometry-based phosphoproteomics is currently the leading methodology for the study of global kinase signaling. The scientific community is continuously releasing technological improvements for sensitive and fast identification of phosphopeptides, and their accurate quantification. To interpret large-scale phosphoproteomics data, numerous bioinformatic resources are available that help understanding kinase network functional role in biological systems upon perturbation. Some of these resources are databases of phosphorylation sites, protein kinases and phosphatases; others are bioinformatic algorithms to infer kinase activity, predict phosphosite functional relevance and visualize kinase signaling networks. In this review, we present the latest experimental and bioinformatic tools to profile protein kinase signaling networks and provide examples of their application in biomedicine.
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Affiliation(s)
- Giulia Franciosa
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marie Locard-Paulet
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars J Jensen
- Disease Systems Biology Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jesper V Olsen
- Proteomics Program, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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43
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Higgins L, Gerdes H, Cutillas PR. Principles of phosphoproteomics and applications in cancer research. Biochem J 2023; 480:403-420. [PMID: 36961757 PMCID: PMC10212522 DOI: 10.1042/bcj20220220] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/24/2023] [Accepted: 02/28/2023] [Indexed: 03/25/2023]
Abstract
Phosphorylation constitutes the most common and best-studied regulatory post-translational modification in biological systems and archetypal signalling pathways driven by protein and lipid kinases are disrupted in essentially all cancer types. Thus, the study of the phosphoproteome stands to provide unique biological information on signalling pathway activity and on kinase network circuitry that is not captured by genetic or transcriptomic technologies. Here, we discuss the methods and tools used in phosphoproteomics and highlight how this technique has been used, and can be used in the future, for cancer research. Challenges still exist in mass spectrometry phosphoproteomics and in the software required to provide biological information from these datasets. Nevertheless, improvements in mass spectrometers with enhanced scan rates, separation capabilities and sensitivity, in biochemical methods for sample preparation and in computational pipelines are enabling an increasingly deep analysis of the phosphoproteome, where previous bottlenecks in data acquisition, processing and interpretation are being relieved. These powerful hardware and algorithmic innovations are not only providing exciting new mechanistic insights into tumour biology, from where new drug targets may be derived, but are also leading to the discovery of phosphoproteins as mediators of drug sensitivity and resistance and as classifiers of disease subtypes. These studies are, therefore, uncovering phosphoproteins as a new generation of disruptive biomarkers to improve personalised anti-cancer therapies.
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Affiliation(s)
- Luke Higgins
- Cell Signaling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, U.K
| | - Henry Gerdes
- Cell Signaling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, U.K
| | - Pedro R. Cutillas
- Cell Signaling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, U.K
- Alan Turing Institute, The British Library, London, U.K
- Digital Environment Research Institute, Queen Mary University of London, London, U.K
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Skowronek P, Krohs F, Lubeck M, Wallmann G, Itang ECM, Koval P, Wahle M, Thielert M, Meier F, Willems S, Raether O, Mann M. Synchro-PASEF Allows Precursor-Specific Fragment Ion Extraction and Interference Removal in Data-Independent Acquisition. Mol Cell Proteomics 2023; 22:100489. [PMID: 36566012 PMCID: PMC9868879 DOI: 10.1016/j.mcpro.2022.100489] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/12/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Data-independent acquisition (DIA) methods have become increasingly popular in mass spectrometry-based proteomics because they enable continuous acquisition of fragment spectra for all precursors simultaneously. However, these advantages come with the challenge of correctly reconstructing the precursor-fragment relationships in these highly convoluted spectra for reliable identification and quantification. Here, we introduce a scan mode for the combination of trapped ion mobility spectrometry with parallel accumulation-serial fragmentation (PASEF) that seamlessly and continuously follows the natural shape of the ion cloud in ion mobility and peptide precursor mass dimensions. Termed synchro-PASEF, it increases the detected fragment ion current several-fold at sub-second cycle times. Consecutive quadrupole selection windows move synchronously through the mass and ion mobility range. In this process, the quadrupole slices through the peptide precursors, which separates fragment ion signals of each precursor into adjacent synchro-PASEF scans. This precisely defines precursor-fragment relationships in ion mobility and mass dimensions and effectively deconvolutes the DIA fragment space. Importantly, the partitioned parts of the fragment ion transitions provide a further dimension of specificity via a lock-and-key mechanism. This is also advantageous for quantification, where signals from interfering precursors in the DIA selection window do not affect all partitions of the fragment ion, allowing to retain only the specific parts for quantification. Overall, we establish the defining features of synchro-PASEF and explore its potential for proteomic analyses.
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Affiliation(s)
- Patricia Skowronek
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Florian Krohs
- Research and Development, Bruker Daltonics GmbH & Co KG, Bremen, Germany
| | - Markus Lubeck
- Research and Development, Bruker Daltonics GmbH & Co KG, Bremen, Germany
| | - Georg Wallmann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Ericka C M Itang
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Polina Koval
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Biomedicine and Neuroscience, Kyiv Academic University, Kyiv, Ukraine
| | - Maria Wahle
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Marvin Thielert
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany
| | - Florian Meier
- Functional Proteomics, Jena University Hospital, Jena, Germany
| | - Sander Willems
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Research and Development, Bruker Belgium nv., Kontich, Belgium.
| | - Oliver Raether
- Research and Development, Bruker Daltonics GmbH & Co KG, Bremen, Germany.
| | - Matthias Mann
- Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany; Proteomics, NNF Center for Protein Research, Copenhagen, Denmark.
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45
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Carrillo-Rodriguez P, Selheim F, Hernandez-Valladares M. Mass Spectrometry-Based Proteomics Workflows in Cancer Research: The Relevance of Choosing the Right Steps. Cancers (Basel) 2023; 15:cancers15020555. [PMID: 36672506 PMCID: PMC9856946 DOI: 10.3390/cancers15020555] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Accepted: 01/12/2023] [Indexed: 01/19/2023] Open
Abstract
The qualitative and quantitative evaluation of proteome changes that condition cancer development can be achieved with liquid chromatography-mass spectrometry (LC-MS). LC-MS-based proteomics strategies are carried out according to predesigned workflows that comprise several steps such as sample selection, sample processing including labeling, MS acquisition methods, statistical treatment, and bioinformatics to understand the biological meaning of the findings and set predictive classifiers. As the choice of best options might not be straightforward, we herein review and assess past and current proteomics approaches for the discovery of new cancer biomarkers. Moreover, we review major bioinformatics tools for interpreting and visualizing proteomics results and suggest the most popular machine learning techniques for the selection of predictive biomarkers. Finally, we consider the approximation of proteomics strategies for clinical diagnosis and prognosis by discussing current barriers and proposals to circumvent them.
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Affiliation(s)
- Paula Carrillo-Rodriguez
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
- Vall d'Hebron Institute of Oncology (VHIO), 08035 Barcelona, Spain
| | - Frode Selheim
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
| | - Maria Hernandez-Valladares
- Proteomics Unit of University of Bergen (PROBE), University of Bergen, Jonas Lies vei 91, 5009 Bergen, Norway
- Department of Physical Chemistry, University of Granada, Avenida de la Fuente Nueva S/N, 18071 Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, 18012 Granada, Spain
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Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics. Nat Commun 2023; 14:94. [PMID: 36609502 PMCID: PMC9822986 DOI: 10.1038/s41467-022-35740-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/20/2022] [Indexed: 01/07/2023] Open
Abstract
A plethora of software suites and multiple classes of spectral libraries have been developed to enhance the depth and robustness of data-independent acquisition (DIA) data processing. However, how the combination of a DIA software tool and a spectral library impacts the outcome of DIA proteomics and phosphoproteomics data analysis has been rarely investigated using benchmark data that mimics biological complexity. In this study, we create DIA benchmark data sets simulating the regulation of thousands of proteins in a complex background, which are collected on both an Orbitrap and a timsTOF instruments. We evaluate four commonly used software suites (DIA-NN, Spectronaut, MaxDIA and Skyline) combined with seven different spectral libraries in global proteome analysis. Moreover, we assess their performances in analyzing phosphopeptide standards and TNF-α-induced phosphoproteome regulation. Our study provides a practical guidance on how to construct a robust data analysis pipeline for different proteomics studies implementing the DIA technique.
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47
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Leeming MG, Ang CS, Nie S, Varshney S, Williamson NA. Simulation of mass spectrometry-based proteomics data with Synthedia. BIOINFORMATICS ADVANCES 2022; 3:vbac096. [PMID: 36698761 PMCID: PMC9825309 DOI: 10.1093/bioadv/vbac096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 11/08/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
Motivation A large number of experimental and bioinformatic parameters must be set to identify and quantify peptides in mass spectrometry experiments and each of these will impact the results. An ability to simulate raw data with known contents would allow researchers to rapidly explore the effects of varying experimental parameters and systematically investigate downstream processing software. A range of data simulators are available for established data-dependent acquisition methodologies, but these do not extend to the rapidly developing field of data-independent acquisition (DIA) strategies. Results Here, we present Synthedia-a software package to simulate DIA liquid chromatography-mass spectrometry for bottom-up proteomics experiments. Synthedia can generate datasets with known peptide precursor ions and fragments and allows for the customization of a wide variety of chromatographic and mass spectrometry parameters. Availability and implementation Synthedia is freely available via the internet and can be used through a graphical website (https://synthedia.org/) or locally via the command line (https://github.com/mgleeming/synthedia/). Supplementary information Supplementary data are available at Bioinformatics Advances online.
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Affiliation(s)
| | - Ching-Seng Ang
- Bio21 Molecular Science & Biotechnology Institute, Melbourne Mass Spectrometry and Proteomics Facility, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Shuai Nie
- Bio21 Molecular Science & Biotechnology Institute, Melbourne Mass Spectrometry and Proteomics Facility, The University of Melbourne, Melbourne, VIC 3052, Australia
| | - Swati Varshney
- Bio21 Molecular Science & Biotechnology Institute, Melbourne Mass Spectrometry and Proteomics Facility, The University of Melbourne, Melbourne, VIC 3052, Australia
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